Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.SageMaker.Types

Contents

Service Configuration
Errors
ActionStatus
AlgorithmSortBy
AlgorithmStatus
AppImageConfigSortKey
AppInstanceType
AppNetworkAccessType
AppSortKey
AppStatus
AppType
ArtifactSourceIdType
AssemblyType
AssociationEdgeType
AthenaResultCompressionType
AthenaResultFormat
AuthMode
AutoMLJobObjectiveType
AutoMLJobSecondaryStatus
AutoMLJobStatus
AutoMLMetricEnum
AutoMLS3DataType
AutoMLSortBy
AutoMLSortOrder
AwsManagedHumanLoopRequestSource
BatchStrategy
BooleanOperator
CandidateSortBy
CandidateStatus
CandidateStepType
CapacitySizeType
CaptureMode
CaptureStatus
CodeRepositorySortBy
CodeRepositorySortOrder
CompilationJobStatus
CompressionType
ConditionOutcome
ContainerMode
ContentClassifier
DataDistributionType
DetailedAlgorithmStatus
DetailedModelPackageStatus
DirectInternetAccess
DomainStatus
EdgePackagingJobStatus
EdgePresetDeploymentStatus
EdgePresetDeploymentType
EndpointConfigSortKey
EndpointSortKey
EndpointStatus
ExecutionStatus
FeatureGroupSortBy
FeatureGroupSortOrder
FeatureGroupStatus
FeatureType
FileSystemAccessMode
FileSystemType
FlowDefinitionStatus
Framework
HumanTaskUiStatus
HyperParameterScalingType
HyperParameterTuningJobObjectiveType
HyperParameterTuningJobSortByOptions
HyperParameterTuningJobStatus
HyperParameterTuningJobStrategyType
HyperParameterTuningJobWarmStartType
ImageSortBy
ImageSortOrder
ImageStatus
ImageVersionSortBy
ImageVersionSortOrder
ImageVersionStatus
InferenceExecutionMode
InputMode
InstanceType
JoinSource
LabelingJobStatus
ListCompilationJobsSortBy
ListDeviceFleetsSortBy
ListEdgePackagingJobsSortBy
ListLabelingJobsForWorkteamSortByOptions
ListWorkforcesSortByOptions
ListWorkteamsSortByOptions
MetricSetSource
ModelApprovalStatus
ModelCacheSetting
ModelPackageGroupSortBy
ModelPackageGroupStatus
ModelPackageSortBy
ModelPackageStatus
ModelPackageType
ModelSortKey
MonitoringExecutionSortKey
MonitoringJobDefinitionSortKey
MonitoringProblemType
MonitoringScheduleSortKey
MonitoringType
NotebookInstanceAcceleratorType
NotebookInstanceLifecycleConfigSortKey
NotebookInstanceLifecycleConfigSortOrder
NotebookInstanceSortKey
NotebookInstanceSortOrder
NotebookInstanceStatus
NotebookOutputOption
ObjectiveStatus
OfflineStoreStatusValue
Operator
OrderKey
ParameterType
PipelineExecutionStatus
PipelineStatus
ProblemType
ProcessingInstanceType
ProcessingJobStatus
ProcessingS3CompressionType
ProcessingS3DataDistributionType
ProcessingS3DataType
ProcessingS3InputMode
ProcessingS3UploadMode
ProductionVariantAcceleratorType
ProductionVariantInstanceType
ProfilingStatus
ProjectSortBy
ProjectSortOrder
ProjectStatus
RecordWrapper
RedshiftResultCompressionType
RedshiftResultFormat
RepositoryAccessMode
ResourceType
RetentionType
RootAccess
RuleEvaluationStatus
S3DataDistribution
S3DataType
SagemakerServicecatalogStatus
ScheduleStatus
SearchSortOrder
SecondaryStatus
SortActionsBy
SortArtifactsBy
SortAssociationsBy
SortBy
SortContextsBy
SortExperimentsBy
SortOrder
SortPipelineExecutionsBy
SortPipelinesBy
SortTrialComponentsBy
SortTrialsBy
SplitType
StepStatus
StudioLifecycleConfigAppType
StudioLifecycleConfigSortKey
TargetDevice
TargetPlatformAccelerator
TargetPlatformArch
TargetPlatformOs
TrafficRoutingConfigType
TrainingInputMode
TrainingInstanceType
TrainingJobEarlyStoppingType
TrainingJobSortByOptions
TrainingJobStatus
TransformInstanceType
TransformJobStatus
TrialComponentPrimaryStatus
UserProfileSortKey
UserProfileStatus
VariantPropertyType
ActionSource
ActionSummary
AgentVersion
Alarm
AlgorithmSpecification
AlgorithmStatusDetails
AlgorithmStatusItem
AlgorithmSummary
AlgorithmValidationProfile
AlgorithmValidationSpecification
AnnotationConsolidationConfig
AppDetails
AppImageConfigDetails
AppSpecification
ArtifactSource
ArtifactSourceType
ArtifactSummary
AssociationSummary
AsyncInferenceClientConfig
AsyncInferenceConfig
AsyncInferenceNotificationConfig
AsyncInferenceOutputConfig
AthenaDatasetDefinition
AutoMLCandidate
AutoMLCandidateStep
AutoMLChannel
AutoMLContainerDefinition
AutoMLDataSource
AutoMLJobArtifacts
AutoMLJobCompletionCriteria
AutoMLJobConfig
AutoMLJobObjective
AutoMLJobSummary
AutoMLOutputDataConfig
AutoMLPartialFailureReason
AutoMLS3DataSource
AutoMLSecurityConfig
AutoRollbackConfig
Bias
BlueGreenUpdatePolicy
CacheHitResult
CallbackStepMetadata
CandidateArtifactLocations
CandidateProperties
CapacitySize
CaptureContentTypeHeader
CaptureOption
CategoricalParameterRange
CategoricalParameterRangeSpecification
Channel
ChannelSpecification
CheckpointConfig
CodeRepositorySummary
CognitoConfig
CognitoMemberDefinition
CollectionConfiguration
CompilationJobSummary
ConditionStepMetadata
ContainerDefinition
ContextSource
ContextSummary
ContinuousParameterRange
ContinuousParameterRangeSpecification
CustomImage
DataCaptureConfig
DataCaptureConfigSummary
DataCatalogConfig
DataProcessing
DataQualityAppSpecification
DataQualityBaselineConfig
DataQualityJobInput
DataSource
DatasetDefinition
DebugHookConfig
DebugRuleConfiguration
DebugRuleEvaluationStatus
DeployedImage
DeploymentConfig
DesiredWeightAndCapacity
Device
DeviceFleetSummary
DeviceStats
DeviceSummary
DomainDetails
EdgeModel
EdgeModelStat
EdgeModelSummary
EdgeOutputConfig
EdgePackagingJobSummary
EdgePresetDeploymentOutput
Endpoint
EndpointConfigSummary
EndpointInput
EndpointSummary
Experiment
ExperimentConfig
ExperimentSource
ExperimentSummary
Explainability
FeatureDefinition
FeatureGroup
FeatureGroupSummary
FileSystemConfig
FileSystemDataSource
Filter
FinalAutoMLJobObjectiveMetric
FinalHyperParameterTuningJobObjectiveMetric
FlowDefinitionOutputConfig
FlowDefinitionSummary
GitConfig
GitConfigForUpdate
HumanLoopActivationConditionsConfig
HumanLoopActivationConfig
HumanLoopConfig
HumanLoopRequestSource
HumanTaskConfig
HumanTaskUiSummary
HyperParameterAlgorithmSpecification
HyperParameterSpecification
HyperParameterTrainingJobDefinition
HyperParameterTrainingJobSummary
HyperParameterTuningJobConfig
HyperParameterTuningJobObjective
HyperParameterTuningJobSummary
HyperParameterTuningJobWarmStartConfig
Image
ImageConfig
ImageVersion
InferenceExecutionConfig
InferenceSpecification
InputConfig
IntegerParameterRange
IntegerParameterRangeSpecification
JupyterServerAppSettings
KernelGatewayAppSettings
KernelGatewayImageConfig
KernelSpec
LabelCounters
LabelCountersForWorkteam
LabelingJobAlgorithmsConfig
LabelingJobDataAttributes
LabelingJobDataSource
LabelingJobForWorkteamSummary
LabelingJobInputConfig
LabelingJobOutput
LabelingJobOutputConfig
LabelingJobResourceConfig
LabelingJobS3DataSource
LabelingJobSnsDataSource
LabelingJobStoppingConditions
LabelingJobSummary
LambdaStepMetadata
MemberDefinition
MetadataProperties
MetricData
MetricDatum
MetricDefinition
MetricsSource
ModelArtifacts
ModelBiasAppSpecification
ModelBiasBaselineConfig
ModelBiasJobInput
ModelClientConfig
ModelDataQuality
ModelDeployConfig
ModelDeployResult
ModelDigests
ModelExplainabilityAppSpecification
ModelExplainabilityBaselineConfig
ModelExplainabilityJobInput
ModelMetrics
ModelPackage
ModelPackageContainerDefinition
ModelPackageGroup
ModelPackageGroupSummary
ModelPackageStatusDetails
ModelPackageStatusItem
ModelPackageSummary
ModelPackageValidationProfile
ModelPackageValidationSpecification
ModelQuality
ModelQualityAppSpecification
ModelQualityBaselineConfig
ModelQualityJobInput
ModelStepMetadata
ModelSummary
MonitoringAppSpecification
MonitoringBaselineConfig
MonitoringClusterConfig
MonitoringConstraintsResource
MonitoringExecutionSummary
MonitoringGroundTruthS3Input
MonitoringInput
MonitoringJobDefinition
MonitoringJobDefinitionSummary
MonitoringNetworkConfig
MonitoringOutput
MonitoringOutputConfig
MonitoringResources
MonitoringS3Output
MonitoringSchedule
MonitoringScheduleConfig
MonitoringScheduleSummary
MonitoringStatisticsResource
MonitoringStoppingCondition
MultiModelConfig
NeoVpcConfig
NestedFilters
NetworkConfig
NotebookInstanceLifecycleConfigSummary
NotebookInstanceLifecycleHook
NotebookInstanceSummary
NotificationConfiguration
ObjectiveStatusCounters
OfflineStoreConfig
OfflineStoreStatus
OidcConfig
OidcConfigForResponse
OidcMemberDefinition
OnlineStoreConfig
OnlineStoreSecurityConfig
OutputConfig
OutputDataConfig
OutputParameter
Parameter
ParameterRange
ParameterRanges
Parent
ParentHyperParameterTuningJob
Pipeline
PipelineExecution
PipelineExecutionStep
PipelineExecutionStepMetadata
PipelineExecutionSummary
PipelineExperimentConfig
PipelineSummary
ProcessingClusterConfig
ProcessingFeatureStoreOutput
ProcessingInput
ProcessingJob
ProcessingJobStepMetadata
ProcessingJobSummary
ProcessingOutput
ProcessingOutputConfig
ProcessingResources
ProcessingS3Input
ProcessingS3Output
ProcessingStoppingCondition
ProductionVariant
ProductionVariantCoreDumpConfig
ProductionVariantSummary
ProfilerConfig
ProfilerConfigForUpdate
ProfilerRuleConfiguration
ProfilerRuleEvaluationStatus
Project
ProjectSummary
PropertyNameQuery
PropertyNameSuggestion
ProvisioningParameter
PublicWorkforceTaskPrice
RedshiftDatasetDefinition
RegisterModelStepMetadata
RenderableTask
RenderingError
RepositoryAuthConfig
ResolvedAttributes
ResourceConfig
ResourceLimits
ResourceSpec
RetentionPolicy
RetryStrategy
S3DataSource
S3StorageConfig
ScheduleConfig
SearchExpression
SearchRecord
SecondaryStatusTransition
ServiceCatalogProvisionedProductDetails
ServiceCatalogProvisioningDetails
SharingSettings
ShuffleConfig
SourceAlgorithm
SourceAlgorithmSpecification
SourceIpConfig
StoppingCondition
StudioLifecycleConfigDetails
SubscribedWorkteam
SuggestionQuery
Tag
TargetPlatform
TensorBoardAppSettings
TensorBoardOutputConfig
TrafficRoutingConfig
TrainingJob
TrainingJobDefinition
TrainingJobStatusCounters
TrainingJobStepMetadata
TrainingJobSummary
TrainingSpecification
TransformDataSource
TransformInput
TransformJob
TransformJobDefinition
TransformJobStepMetadata
TransformJobSummary
TransformOutput
TransformResources
TransformS3DataSource
Trial
TrialComponent
TrialComponentArtifact
TrialComponentMetricSummary
TrialComponentParameterValue
TrialComponentSimpleSummary
TrialComponentSource
TrialComponentSourceDetail
TrialComponentStatus
TrialComponentSummary
TrialSource
TrialSummary
TuningJobCompletionCriteria
TuningJobStepMetaData
USD
UiConfig
UiTemplate
UiTemplateInfo
UserContext
UserProfileDetails
UserSettings
VariantProperty
VpcConfig
Workforce
Workteam

Description

Synopsis

defaultService :: Service
_ResourceLimitExceeded :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceInUse :: AsError a => Getting (First ServiceError) a ServiceError
_ConflictException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceNotFound :: AsError a => Getting (First ServiceError) a ServiceError
newtype ActionStatus where
- ActionStatus' {
  - fromActionStatus :: Text
  }
- pattern ActionStatus_Completed :: ActionStatus
- pattern ActionStatus_Failed :: ActionStatus
- pattern ActionStatus_InProgress :: ActionStatus
- pattern ActionStatus_Stopped :: ActionStatus
- pattern ActionStatus_Stopping :: ActionStatus
- pattern ActionStatus_Unknown :: ActionStatus
newtype AlgorithmSortBy where
- AlgorithmSortBy' {
  - fromAlgorithmSortBy :: Text
  }
- pattern AlgorithmSortBy_CreationTime :: AlgorithmSortBy
- pattern AlgorithmSortBy_Name :: AlgorithmSortBy
newtype AlgorithmStatus where
- AlgorithmStatus' {
  - fromAlgorithmStatus :: Text
  }
- pattern AlgorithmStatus_Completed :: AlgorithmStatus
- pattern AlgorithmStatus_Deleting :: AlgorithmStatus
- pattern AlgorithmStatus_Failed :: AlgorithmStatus
- pattern AlgorithmStatus_InProgress :: AlgorithmStatus
- pattern AlgorithmStatus_Pending :: AlgorithmStatus
newtype AppImageConfigSortKey where
- AppImageConfigSortKey' {
  - fromAppImageConfigSortKey :: Text
  }
- pattern AppImageConfigSortKey_CreationTime :: AppImageConfigSortKey
- pattern AppImageConfigSortKey_LastModifiedTime :: AppImageConfigSortKey
- pattern AppImageConfigSortKey_Name :: AppImageConfigSortKey
newtype AppInstanceType where
- AppInstanceType' {
  - fromAppInstanceType :: Text
  }
- pattern AppInstanceType_Ml_c5_12xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_c5_18xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_c5_24xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_c5_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_c5_4xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_c5_9xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_c5_large :: AppInstanceType
- pattern AppInstanceType_Ml_c5_xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_g4dn_12xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_g4dn_16xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_g4dn_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_g4dn_4xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_g4dn_8xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_g4dn_xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_12xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_16xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_24xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_4xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_8xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5_large :: AppInstanceType
- pattern AppInstanceType_Ml_m5_xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_12xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_16xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_24xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_4xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_8xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_large :: AppInstanceType
- pattern AppInstanceType_Ml_m5d_xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_p3_16xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_p3_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_p3_8xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_p3dn_24xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_12xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_16xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_24xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_4xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_8xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_r5_large :: AppInstanceType
- pattern AppInstanceType_Ml_r5_xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_t3_2xlarge :: AppInstanceType
- pattern AppInstanceType_Ml_t3_large :: AppInstanceType
- pattern AppInstanceType_Ml_t3_medium :: AppInstanceType
- pattern AppInstanceType_Ml_t3_micro :: AppInstanceType
- pattern AppInstanceType_Ml_t3_small :: AppInstanceType
- pattern AppInstanceType_Ml_t3_xlarge :: AppInstanceType
- pattern AppInstanceType_System :: AppInstanceType
newtype AppNetworkAccessType where
- AppNetworkAccessType' {
  - fromAppNetworkAccessType :: Text
  }
- pattern AppNetworkAccessType_PublicInternetOnly :: AppNetworkAccessType
- pattern AppNetworkAccessType_VpcOnly :: AppNetworkAccessType
newtype AppSortKey where
- AppSortKey' {
  - fromAppSortKey :: Text
  }
- pattern AppSortKey_CreationTime :: AppSortKey
newtype AppStatus where
- AppStatus' {
  - fromAppStatus :: Text
  }
- pattern AppStatus_Deleted :: AppStatus
- pattern AppStatus_Deleting :: AppStatus
- pattern AppStatus_Failed :: AppStatus
- pattern AppStatus_InService :: AppStatus
- pattern AppStatus_Pending :: AppStatus
newtype AppType where
- AppType' {
  - fromAppType :: Text
  }
- pattern AppType_JupyterServer :: AppType
- pattern AppType_KernelGateway :: AppType
- pattern AppType_TensorBoard :: AppType
newtype ArtifactSourceIdType where
- ArtifactSourceIdType' {
  - fromArtifactSourceIdType :: Text
  }
- pattern ArtifactSourceIdType_Custom :: ArtifactSourceIdType
- pattern ArtifactSourceIdType_MD5Hash :: ArtifactSourceIdType
- pattern ArtifactSourceIdType_S3ETag :: ArtifactSourceIdType
- pattern ArtifactSourceIdType_S3Version :: ArtifactSourceIdType
newtype AssemblyType where
- AssemblyType' {
  - fromAssemblyType :: Text
  }
- pattern AssemblyType_Line :: AssemblyType
- pattern AssemblyType_None :: AssemblyType
newtype AssociationEdgeType where
- AssociationEdgeType' {
  - fromAssociationEdgeType :: Text
  }
- pattern AssociationEdgeType_AssociatedWith :: AssociationEdgeType
- pattern AssociationEdgeType_ContributedTo :: AssociationEdgeType
- pattern AssociationEdgeType_DerivedFrom :: AssociationEdgeType
- pattern AssociationEdgeType_Produced :: AssociationEdgeType
newtype AthenaResultCompressionType where
- AthenaResultCompressionType' {
  - fromAthenaResultCompressionType :: Text
  }
- pattern AthenaResultCompressionType_GZIP :: AthenaResultCompressionType
- pattern AthenaResultCompressionType_SNAPPY :: AthenaResultCompressionType
- pattern AthenaResultCompressionType_ZLIB :: AthenaResultCompressionType
newtype AthenaResultFormat where
- AthenaResultFormat' {
  - fromAthenaResultFormat :: Text
  }
- pattern AthenaResultFormat_AVRO :: AthenaResultFormat
- pattern AthenaResultFormat_JSON :: AthenaResultFormat
- pattern AthenaResultFormat_ORC :: AthenaResultFormat
- pattern AthenaResultFormat_PARQUET :: AthenaResultFormat
- pattern AthenaResultFormat_TEXTFILE :: AthenaResultFormat
newtype AuthMode where
- AuthMode' {
  - fromAuthMode :: Text
  }
- pattern AuthMode_IAM :: AuthMode
- pattern AuthMode_SSO :: AuthMode
newtype AutoMLJobObjectiveType where
- AutoMLJobObjectiveType' {
  - fromAutoMLJobObjectiveType :: Text
  }
- pattern AutoMLJobObjectiveType_Maximize :: AutoMLJobObjectiveType
- pattern AutoMLJobObjectiveType_Minimize :: AutoMLJobObjectiveType
newtype AutoMLJobSecondaryStatus where
- AutoMLJobSecondaryStatus' {
  - fromAutoMLJobSecondaryStatus :: Text
  }
- pattern AutoMLJobSecondaryStatus_AnalyzingData :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_CandidateDefinitionsGenerated :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_Completed :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_DeployingModel :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_ExplainabilityError :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_Failed :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_FeatureEngineering :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_GeneratingExplainabilityReport :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_MaxAutoMLJobRuntimeReached :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_MaxCandidatesReached :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_ModelDeploymentError :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_ModelTuning :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_Starting :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_Stopped :: AutoMLJobSecondaryStatus
- pattern AutoMLJobSecondaryStatus_Stopping :: AutoMLJobSecondaryStatus
newtype AutoMLJobStatus where
- AutoMLJobStatus' {
  - fromAutoMLJobStatus :: Text
  }
- pattern AutoMLJobStatus_Completed :: AutoMLJobStatus
- pattern AutoMLJobStatus_Failed :: AutoMLJobStatus
- pattern AutoMLJobStatus_InProgress :: AutoMLJobStatus
- pattern AutoMLJobStatus_Stopped :: AutoMLJobStatus
- pattern AutoMLJobStatus_Stopping :: AutoMLJobStatus
newtype AutoMLMetricEnum where
- AutoMLMetricEnum' {
  - fromAutoMLMetricEnum :: Text
  }
- pattern AutoMLMetricEnum_AUC :: AutoMLMetricEnum
- pattern AutoMLMetricEnum_Accuracy :: AutoMLMetricEnum
- pattern AutoMLMetricEnum_F1 :: AutoMLMetricEnum
- pattern AutoMLMetricEnum_F1macro :: AutoMLMetricEnum
- pattern AutoMLMetricEnum_MSE :: AutoMLMetricEnum
newtype AutoMLS3DataType where
- AutoMLS3DataType' {
  - fromAutoMLS3DataType :: Text
  }
- pattern AutoMLS3DataType_ManifestFile :: AutoMLS3DataType
- pattern AutoMLS3DataType_S3Prefix :: AutoMLS3DataType
newtype AutoMLSortBy where
- AutoMLSortBy' {
  - fromAutoMLSortBy :: Text
  }
- pattern AutoMLSortBy_CreationTime :: AutoMLSortBy
- pattern AutoMLSortBy_Name :: AutoMLSortBy
- pattern AutoMLSortBy_Status :: AutoMLSortBy
newtype AutoMLSortOrder where
- AutoMLSortOrder' {
  - fromAutoMLSortOrder :: Text
  }
- pattern AutoMLSortOrder_Ascending :: AutoMLSortOrder
- pattern AutoMLSortOrder_Descending :: AutoMLSortOrder
newtype AwsManagedHumanLoopRequestSource where
- AwsManagedHumanLoopRequestSource' {
  - fromAwsManagedHumanLoopRequestSource :: Text
  }
- pattern AwsManagedHumanLoopRequestSource_AWS_Rekognition_DetectModerationLabels_Image_V3 :: AwsManagedHumanLoopRequestSource
- pattern AwsManagedHumanLoopRequestSource_AWS_Textract_AnalyzeDocument_Forms_V1 :: AwsManagedHumanLoopRequestSource
newtype BatchStrategy where
- BatchStrategy' {
  - fromBatchStrategy :: Text
  }
- pattern BatchStrategy_MultiRecord :: BatchStrategy
- pattern BatchStrategy_SingleRecord :: BatchStrategy
newtype BooleanOperator where
- BooleanOperator' {
  - fromBooleanOperator :: Text
  }
- pattern BooleanOperator_And :: BooleanOperator
- pattern BooleanOperator_Or :: BooleanOperator
newtype CandidateSortBy where
- CandidateSortBy' {
  - fromCandidateSortBy :: Text
  }
- pattern CandidateSortBy_CreationTime :: CandidateSortBy
- pattern CandidateSortBy_FinalObjectiveMetricValue :: CandidateSortBy
- pattern CandidateSortBy_Status :: CandidateSortBy
newtype CandidateStatus where
- CandidateStatus' {
  - fromCandidateStatus :: Text
  }
- pattern CandidateStatus_Completed :: CandidateStatus
- pattern CandidateStatus_Failed :: CandidateStatus
- pattern CandidateStatus_InProgress :: CandidateStatus
- pattern CandidateStatus_Stopped :: CandidateStatus
- pattern CandidateStatus_Stopping :: CandidateStatus
newtype CandidateStepType where
- CandidateStepType' {
  - fromCandidateStepType :: Text
  }
- pattern CandidateStepType_AWS__SageMaker__ProcessingJob :: CandidateStepType
- pattern CandidateStepType_AWS__SageMaker__TrainingJob :: CandidateStepType
- pattern CandidateStepType_AWS__SageMaker__TransformJob :: CandidateStepType
newtype CapacitySizeType where
- CapacitySizeType' {
  - fromCapacitySizeType :: Text
  }
- pattern CapacitySizeType_CAPACITY_PERCENT :: CapacitySizeType
- pattern CapacitySizeType_INSTANCE_COUNT :: CapacitySizeType
newtype CaptureMode where
- CaptureMode' {
  - fromCaptureMode :: Text
  }
- pattern CaptureMode_Input :: CaptureMode
- pattern CaptureMode_Output :: CaptureMode
newtype CaptureStatus where
- CaptureStatus' {
  - fromCaptureStatus :: Text
  }
- pattern CaptureStatus_Started :: CaptureStatus
- pattern CaptureStatus_Stopped :: CaptureStatus
newtype CodeRepositorySortBy where
- CodeRepositorySortBy' {
  - fromCodeRepositorySortBy :: Text
  }
- pattern CodeRepositorySortBy_CreationTime :: CodeRepositorySortBy
- pattern CodeRepositorySortBy_LastModifiedTime :: CodeRepositorySortBy
- pattern CodeRepositorySortBy_Name :: CodeRepositorySortBy
newtype CodeRepositorySortOrder where
- CodeRepositorySortOrder' {
  - fromCodeRepositorySortOrder :: Text
  }
- pattern CodeRepositorySortOrder_Ascending :: CodeRepositorySortOrder
- pattern CodeRepositorySortOrder_Descending :: CodeRepositorySortOrder
newtype CompilationJobStatus where
- CompilationJobStatus' {
  - fromCompilationJobStatus :: Text
  }
- pattern CompilationJobStatus_COMPLETED :: CompilationJobStatus
- pattern CompilationJobStatus_FAILED :: CompilationJobStatus
- pattern CompilationJobStatus_INPROGRESS :: CompilationJobStatus
- pattern CompilationJobStatus_STARTING :: CompilationJobStatus
- pattern CompilationJobStatus_STOPPED :: CompilationJobStatus
- pattern CompilationJobStatus_STOPPING :: CompilationJobStatus
newtype CompressionType where
- CompressionType' {
  - fromCompressionType :: Text
  }
- pattern CompressionType_Gzip :: CompressionType
- pattern CompressionType_None :: CompressionType
newtype ConditionOutcome where
- ConditionOutcome' {
  - fromConditionOutcome :: Text
  }
- pattern ConditionOutcome_False :: ConditionOutcome
- pattern ConditionOutcome_True :: ConditionOutcome
newtype ContainerMode where
- ContainerMode' {
  - fromContainerMode :: Text
  }
- pattern ContainerMode_MultiModel :: ContainerMode
- pattern ContainerMode_SingleModel :: ContainerMode
newtype ContentClassifier where
- ContentClassifier' {
  - fromContentClassifier :: Text
  }
- pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier
- pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier
newtype DataDistributionType where
- DataDistributionType' {
  - fromDataDistributionType :: Text
  }
- pattern DataDistributionType_FullyReplicated :: DataDistributionType
- pattern DataDistributionType_ShardedByS3Key :: DataDistributionType
newtype DetailedAlgorithmStatus where
- DetailedAlgorithmStatus' {
  - fromDetailedAlgorithmStatus :: Text
  }
- pattern DetailedAlgorithmStatus_Completed :: DetailedAlgorithmStatus
- pattern DetailedAlgorithmStatus_Failed :: DetailedAlgorithmStatus
- pattern DetailedAlgorithmStatus_InProgress :: DetailedAlgorithmStatus
- pattern DetailedAlgorithmStatus_NotStarted :: DetailedAlgorithmStatus
newtype DetailedModelPackageStatus where
- DetailedModelPackageStatus' {
  - fromDetailedModelPackageStatus :: Text
  }
- pattern DetailedModelPackageStatus_Completed :: DetailedModelPackageStatus
- pattern DetailedModelPackageStatus_Failed :: DetailedModelPackageStatus
- pattern DetailedModelPackageStatus_InProgress :: DetailedModelPackageStatus
- pattern DetailedModelPackageStatus_NotStarted :: DetailedModelPackageStatus
newtype DirectInternetAccess where
- DirectInternetAccess' {
  - fromDirectInternetAccess :: Text
  }
- pattern DirectInternetAccess_Disabled :: DirectInternetAccess
- pattern DirectInternetAccess_Enabled :: DirectInternetAccess
newtype DomainStatus where
- DomainStatus' {
  - fromDomainStatus :: Text
  }
- pattern DomainStatus_Delete_Failed :: DomainStatus
- pattern DomainStatus_Deleting :: DomainStatus
- pattern DomainStatus_Failed :: DomainStatus
- pattern DomainStatus_InService :: DomainStatus
- pattern DomainStatus_Pending :: DomainStatus
- pattern DomainStatus_Update_Failed :: DomainStatus
- pattern DomainStatus_Updating :: DomainStatus
newtype EdgePackagingJobStatus where
- EdgePackagingJobStatus' {
  - fromEdgePackagingJobStatus :: Text
  }
- pattern EdgePackagingJobStatus_COMPLETED :: EdgePackagingJobStatus
- pattern EdgePackagingJobStatus_FAILED :: EdgePackagingJobStatus
- pattern EdgePackagingJobStatus_INPROGRESS :: EdgePackagingJobStatus
- pattern EdgePackagingJobStatus_STARTING :: EdgePackagingJobStatus
- pattern EdgePackagingJobStatus_STOPPED :: EdgePackagingJobStatus
- pattern EdgePackagingJobStatus_STOPPING :: EdgePackagingJobStatus
newtype EdgePresetDeploymentStatus where
- EdgePresetDeploymentStatus' {
  - fromEdgePresetDeploymentStatus :: Text
  }
- pattern EdgePresetDeploymentStatus_COMPLETED :: EdgePresetDeploymentStatus
- pattern EdgePresetDeploymentStatus_FAILED :: EdgePresetDeploymentStatus
newtype EdgePresetDeploymentType where
- EdgePresetDeploymentType' {
  - fromEdgePresetDeploymentType :: Text
  }
- pattern EdgePresetDeploymentType_GreengrassV2Component :: EdgePresetDeploymentType
newtype EndpointConfigSortKey where
- EndpointConfigSortKey' {
  - fromEndpointConfigSortKey :: Text
  }
- pattern EndpointConfigSortKey_CreationTime :: EndpointConfigSortKey
- pattern EndpointConfigSortKey_Name :: EndpointConfigSortKey
newtype EndpointSortKey where
- EndpointSortKey' {
  - fromEndpointSortKey :: Text
  }
- pattern EndpointSortKey_CreationTime :: EndpointSortKey
- pattern EndpointSortKey_Name :: EndpointSortKey
- pattern EndpointSortKey_Status :: EndpointSortKey
newtype EndpointStatus where
- EndpointStatus' {
  - fromEndpointStatus :: Text
  }
- pattern EndpointStatus_Creating :: EndpointStatus
- pattern EndpointStatus_Deleting :: EndpointStatus
- pattern EndpointStatus_Failed :: EndpointStatus
- pattern EndpointStatus_InService :: EndpointStatus
- pattern EndpointStatus_OutOfService :: EndpointStatus
- pattern EndpointStatus_RollingBack :: EndpointStatus
- pattern EndpointStatus_SystemUpdating :: EndpointStatus
- pattern EndpointStatus_Updating :: EndpointStatus
newtype ExecutionStatus where
- ExecutionStatus' {
  - fromExecutionStatus :: Text
  }
- pattern ExecutionStatus_Completed :: ExecutionStatus
- pattern ExecutionStatus_CompletedWithViolations :: ExecutionStatus
- pattern ExecutionStatus_Failed :: ExecutionStatus
- pattern ExecutionStatus_InProgress :: ExecutionStatus
- pattern ExecutionStatus_Pending :: ExecutionStatus
- pattern ExecutionStatus_Stopped :: ExecutionStatus
- pattern ExecutionStatus_Stopping :: ExecutionStatus
newtype FeatureGroupSortBy where
- FeatureGroupSortBy' {
  - fromFeatureGroupSortBy :: Text
  }
- pattern FeatureGroupSortBy_CreationTime :: FeatureGroupSortBy
- pattern FeatureGroupSortBy_FeatureGroupStatus :: FeatureGroupSortBy
- pattern FeatureGroupSortBy_Name :: FeatureGroupSortBy
- pattern FeatureGroupSortBy_OfflineStoreStatus :: FeatureGroupSortBy
newtype FeatureGroupSortOrder where
- FeatureGroupSortOrder' {
  - fromFeatureGroupSortOrder :: Text
  }
- pattern FeatureGroupSortOrder_Ascending :: FeatureGroupSortOrder
- pattern FeatureGroupSortOrder_Descending :: FeatureGroupSortOrder
newtype FeatureGroupStatus where
- FeatureGroupStatus' {
  - fromFeatureGroupStatus :: Text
  }
- pattern FeatureGroupStatus_CreateFailed :: FeatureGroupStatus
- pattern FeatureGroupStatus_Created :: FeatureGroupStatus
- pattern FeatureGroupStatus_Creating :: FeatureGroupStatus
- pattern FeatureGroupStatus_DeleteFailed :: FeatureGroupStatus
- pattern FeatureGroupStatus_Deleting :: FeatureGroupStatus
newtype FeatureType where
- FeatureType' {
  - fromFeatureType :: Text
  }
- pattern FeatureType_Fractional :: FeatureType
- pattern FeatureType_Integral :: FeatureType
- pattern FeatureType_String :: FeatureType
newtype FileSystemAccessMode where
- FileSystemAccessMode' {
  - fromFileSystemAccessMode :: Text
  }
- pattern FileSystemAccessMode_Ro :: FileSystemAccessMode
- pattern FileSystemAccessMode_Rw :: FileSystemAccessMode
newtype FileSystemType where
- FileSystemType' {
  - fromFileSystemType :: Text
  }
- pattern FileSystemType_EFS :: FileSystemType
- pattern FileSystemType_FSxLustre :: FileSystemType
newtype FlowDefinitionStatus where
- FlowDefinitionStatus' {
  - fromFlowDefinitionStatus :: Text
  }
- pattern FlowDefinitionStatus_Active :: FlowDefinitionStatus
- pattern FlowDefinitionStatus_Deleting :: FlowDefinitionStatus
- pattern FlowDefinitionStatus_Failed :: FlowDefinitionStatus
- pattern FlowDefinitionStatus_Initializing :: FlowDefinitionStatus
newtype Framework where
- Framework' {
  - fromFramework :: Text
  }
- pattern Framework_DARKNET :: Framework
- pattern Framework_KERAS :: Framework
- pattern Framework_MXNET :: Framework
- pattern Framework_ONNX :: Framework
- pattern Framework_PYTORCH :: Framework
- pattern Framework_SKLEARN :: Framework
- pattern Framework_TENSORFLOW :: Framework
- pattern Framework_TFLITE :: Framework
- pattern Framework_XGBOOST :: Framework
newtype HumanTaskUiStatus where
- HumanTaskUiStatus' {
  - fromHumanTaskUiStatus :: Text
  }
- pattern HumanTaskUiStatus_Active :: HumanTaskUiStatus
- pattern HumanTaskUiStatus_Deleting :: HumanTaskUiStatus
newtype HyperParameterScalingType where
- HyperParameterScalingType' {
  - fromHyperParameterScalingType :: Text
  }
- pattern HyperParameterScalingType_Auto :: HyperParameterScalingType
- pattern HyperParameterScalingType_Linear :: HyperParameterScalingType
- pattern HyperParameterScalingType_Logarithmic :: HyperParameterScalingType
- pattern HyperParameterScalingType_ReverseLogarithmic :: HyperParameterScalingType
newtype HyperParameterTuningJobObjectiveType where
- HyperParameterTuningJobObjectiveType' {
  - fromHyperParameterTuningJobObjectiveType :: Text
  }
- pattern HyperParameterTuningJobObjectiveType_Maximize :: HyperParameterTuningJobObjectiveType
- pattern HyperParameterTuningJobObjectiveType_Minimize :: HyperParameterTuningJobObjectiveType
newtype HyperParameterTuningJobSortByOptions where
- HyperParameterTuningJobSortByOptions' {
  - fromHyperParameterTuningJobSortByOptions :: Text
  }
- pattern HyperParameterTuningJobSortByOptions_CreationTime :: HyperParameterTuningJobSortByOptions
- pattern HyperParameterTuningJobSortByOptions_Name :: HyperParameterTuningJobSortByOptions
- pattern HyperParameterTuningJobSortByOptions_Status :: HyperParameterTuningJobSortByOptions
newtype HyperParameterTuningJobStatus where
- HyperParameterTuningJobStatus' {
  - fromHyperParameterTuningJobStatus :: Text
  }
- pattern HyperParameterTuningJobStatus_Completed :: HyperParameterTuningJobStatus
- pattern HyperParameterTuningJobStatus_Failed :: HyperParameterTuningJobStatus
- pattern HyperParameterTuningJobStatus_InProgress :: HyperParameterTuningJobStatus
- pattern HyperParameterTuningJobStatus_Stopped :: HyperParameterTuningJobStatus
- pattern HyperParameterTuningJobStatus_Stopping :: HyperParameterTuningJobStatus
newtype HyperParameterTuningJobStrategyType where
- HyperParameterTuningJobStrategyType' {
  - fromHyperParameterTuningJobStrategyType :: Text
  }
- pattern HyperParameterTuningJobStrategyType_Bayesian :: HyperParameterTuningJobStrategyType
- pattern HyperParameterTuningJobStrategyType_Random :: HyperParameterTuningJobStrategyType
newtype HyperParameterTuningJobWarmStartType where
- HyperParameterTuningJobWarmStartType' {
  - fromHyperParameterTuningJobWarmStartType :: Text
  }
- pattern HyperParameterTuningJobWarmStartType_IdenticalDataAndAlgorithm :: HyperParameterTuningJobWarmStartType
- pattern HyperParameterTuningJobWarmStartType_TransferLearning :: HyperParameterTuningJobWarmStartType
newtype ImageSortBy where
- ImageSortBy' {
  - fromImageSortBy :: Text
  }
- pattern ImageSortBy_CREATION_TIME :: ImageSortBy
- pattern ImageSortBy_IMAGE_NAME :: ImageSortBy
- pattern ImageSortBy_LAST_MODIFIED_TIME :: ImageSortBy
newtype ImageSortOrder where
- ImageSortOrder' {
  - fromImageSortOrder :: Text
  }
- pattern ImageSortOrder_ASCENDING :: ImageSortOrder
- pattern ImageSortOrder_DESCENDING :: ImageSortOrder
newtype ImageStatus where
- ImageStatus' {
  - fromImageStatus :: Text
  }
- pattern ImageStatus_CREATED :: ImageStatus
- pattern ImageStatus_CREATE_FAILED :: ImageStatus
- pattern ImageStatus_CREATING :: ImageStatus
- pattern ImageStatus_DELETE_FAILED :: ImageStatus
- pattern ImageStatus_DELETING :: ImageStatus
- pattern ImageStatus_UPDATE_FAILED :: ImageStatus
- pattern ImageStatus_UPDATING :: ImageStatus
newtype ImageVersionSortBy where
- ImageVersionSortBy' {
  - fromImageVersionSortBy :: Text
  }
- pattern ImageVersionSortBy_CREATION_TIME :: ImageVersionSortBy
- pattern ImageVersionSortBy_LAST_MODIFIED_TIME :: ImageVersionSortBy
- pattern ImageVersionSortBy_VERSION :: ImageVersionSortBy
newtype ImageVersionSortOrder where
- ImageVersionSortOrder' {
  - fromImageVersionSortOrder :: Text
  }
- pattern ImageVersionSortOrder_ASCENDING :: ImageVersionSortOrder
- pattern ImageVersionSortOrder_DESCENDING :: ImageVersionSortOrder
newtype ImageVersionStatus where
- ImageVersionStatus' {
  - fromImageVersionStatus :: Text
  }
- pattern ImageVersionStatus_CREATED :: ImageVersionStatus
- pattern ImageVersionStatus_CREATE_FAILED :: ImageVersionStatus
- pattern ImageVersionStatus_CREATING :: ImageVersionStatus
- pattern ImageVersionStatus_DELETE_FAILED :: ImageVersionStatus
- pattern ImageVersionStatus_DELETING :: ImageVersionStatus
newtype InferenceExecutionMode where
- InferenceExecutionMode' {
  - fromInferenceExecutionMode :: Text
  }
- pattern InferenceExecutionMode_Direct :: InferenceExecutionMode
- pattern InferenceExecutionMode_Serial :: InferenceExecutionMode
newtype InputMode where
- InputMode' {
  - fromInputMode :: Text
  }
- pattern InputMode_File :: InputMode
- pattern InputMode_Pipe :: InputMode
newtype InstanceType where
- InstanceType' {
  - fromInstanceType :: Text
  }
- pattern InstanceType_Ml_c4_2xlarge :: InstanceType
- pattern InstanceType_Ml_c4_4xlarge :: InstanceType
- pattern InstanceType_Ml_c4_8xlarge :: InstanceType
- pattern InstanceType_Ml_c4_xlarge :: InstanceType
- pattern InstanceType_Ml_c5_18xlarge :: InstanceType
- pattern InstanceType_Ml_c5_2xlarge :: InstanceType
- pattern InstanceType_Ml_c5_4xlarge :: InstanceType
- pattern InstanceType_Ml_c5_9xlarge :: InstanceType
- pattern InstanceType_Ml_c5_xlarge :: InstanceType
- pattern InstanceType_Ml_c5d_18xlarge :: InstanceType
- pattern InstanceType_Ml_c5d_2xlarge :: InstanceType
- pattern InstanceType_Ml_c5d_4xlarge :: InstanceType
- pattern InstanceType_Ml_c5d_9xlarge :: InstanceType
- pattern InstanceType_Ml_c5d_xlarge :: InstanceType
- pattern InstanceType_Ml_g4dn_12xlarge :: InstanceType
- pattern InstanceType_Ml_g4dn_16xlarge :: InstanceType
- pattern InstanceType_Ml_g4dn_2xlarge :: InstanceType
- pattern InstanceType_Ml_g4dn_4xlarge :: InstanceType
- pattern InstanceType_Ml_g4dn_8xlarge :: InstanceType
- pattern InstanceType_Ml_g4dn_xlarge :: InstanceType
- pattern InstanceType_Ml_m4_10xlarge :: InstanceType
- pattern InstanceType_Ml_m4_16xlarge :: InstanceType
- pattern InstanceType_Ml_m4_2xlarge :: InstanceType
- pattern InstanceType_Ml_m4_4xlarge :: InstanceType
- pattern InstanceType_Ml_m4_xlarge :: InstanceType
- pattern InstanceType_Ml_m5_12xlarge :: InstanceType
- pattern InstanceType_Ml_m5_24xlarge :: InstanceType
- pattern InstanceType_Ml_m5_2xlarge :: InstanceType
- pattern InstanceType_Ml_m5_4xlarge :: InstanceType
- pattern InstanceType_Ml_m5_xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_12xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_16xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_24xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_2xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_4xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_8xlarge :: InstanceType
- pattern InstanceType_Ml_m5d_large :: InstanceType
- pattern InstanceType_Ml_m5d_xlarge :: InstanceType
- pattern InstanceType_Ml_p2_16xlarge :: InstanceType
- pattern InstanceType_Ml_p2_8xlarge :: InstanceType
- pattern InstanceType_Ml_p2_xlarge :: InstanceType
- pattern InstanceType_Ml_p3_16xlarge :: InstanceType
- pattern InstanceType_Ml_p3_2xlarge :: InstanceType
- pattern InstanceType_Ml_p3_8xlarge :: InstanceType
- pattern InstanceType_Ml_p3dn_24xlarge :: InstanceType
- pattern InstanceType_Ml_r5_12xlarge :: InstanceType
- pattern InstanceType_Ml_r5_16xlarge :: InstanceType
- pattern InstanceType_Ml_r5_24xlarge :: InstanceType
- pattern InstanceType_Ml_r5_2xlarge :: InstanceType
- pattern InstanceType_Ml_r5_4xlarge :: InstanceType
- pattern InstanceType_Ml_r5_8xlarge :: InstanceType
- pattern InstanceType_Ml_r5_large :: InstanceType
- pattern InstanceType_Ml_r5_xlarge :: InstanceType
- pattern InstanceType_Ml_t2_2xlarge :: InstanceType
- pattern InstanceType_Ml_t2_large :: InstanceType
- pattern InstanceType_Ml_t2_medium :: InstanceType
- pattern InstanceType_Ml_t2_xlarge :: InstanceType
- pattern InstanceType_Ml_t3_2xlarge :: InstanceType
- pattern InstanceType_Ml_t3_large :: InstanceType
- pattern InstanceType_Ml_t3_medium :: InstanceType
- pattern InstanceType_Ml_t3_xlarge :: InstanceType
newtype JoinSource where
- JoinSource' {
  - fromJoinSource :: Text
  }
- pattern JoinSource_Input :: JoinSource
- pattern JoinSource_None :: JoinSource
newtype LabelingJobStatus where
- LabelingJobStatus' {
  - fromLabelingJobStatus :: Text
  }
- pattern LabelingJobStatus_Completed :: LabelingJobStatus
- pattern LabelingJobStatus_Failed :: LabelingJobStatus
- pattern LabelingJobStatus_InProgress :: LabelingJobStatus
- pattern LabelingJobStatus_Initializing :: LabelingJobStatus
- pattern LabelingJobStatus_Stopped :: LabelingJobStatus
- pattern LabelingJobStatus_Stopping :: LabelingJobStatus
newtype ListCompilationJobsSortBy where
- ListCompilationJobsSortBy' {
  - fromListCompilationJobsSortBy :: Text
  }
- pattern ListCompilationJobsSortBy_CreationTime :: ListCompilationJobsSortBy
- pattern ListCompilationJobsSortBy_Name :: ListCompilationJobsSortBy
- pattern ListCompilationJobsSortBy_Status :: ListCompilationJobsSortBy
newtype ListDeviceFleetsSortBy where
- ListDeviceFleetsSortBy' {
  - fromListDeviceFleetsSortBy :: Text
  }
- pattern ListDeviceFleetsSortBy_CREATION_TIME :: ListDeviceFleetsSortBy
- pattern ListDeviceFleetsSortBy_LAST_MODIFIED_TIME :: ListDeviceFleetsSortBy
- pattern ListDeviceFleetsSortBy_NAME :: ListDeviceFleetsSortBy
newtype ListEdgePackagingJobsSortBy where
- ListEdgePackagingJobsSortBy' {
  - fromListEdgePackagingJobsSortBy :: Text
  }
- pattern ListEdgePackagingJobsSortBy_CREATION_TIME :: ListEdgePackagingJobsSortBy
- pattern ListEdgePackagingJobsSortBy_LAST_MODIFIED_TIME :: ListEdgePackagingJobsSortBy
- pattern ListEdgePackagingJobsSortBy_MODEL_NAME :: ListEdgePackagingJobsSortBy
- pattern ListEdgePackagingJobsSortBy_NAME :: ListEdgePackagingJobsSortBy
- pattern ListEdgePackagingJobsSortBy_STATUS :: ListEdgePackagingJobsSortBy
newtype ListLabelingJobsForWorkteamSortByOptions where
- ListLabelingJobsForWorkteamSortByOptions' {
  - fromListLabelingJobsForWorkteamSortByOptions :: Text
  }
- pattern ListLabelingJobsForWorkteamSortByOptions_CreationTime :: ListLabelingJobsForWorkteamSortByOptions
newtype ListWorkforcesSortByOptions where
- ListWorkforcesSortByOptions' {
  - fromListWorkforcesSortByOptions :: Text
  }
- pattern ListWorkforcesSortByOptions_CreateDate :: ListWorkforcesSortByOptions
- pattern ListWorkforcesSortByOptions_Name :: ListWorkforcesSortByOptions
newtype ListWorkteamsSortByOptions where
- ListWorkteamsSortByOptions' {
  - fromListWorkteamsSortByOptions :: Text
  }
- pattern ListWorkteamsSortByOptions_CreateDate :: ListWorkteamsSortByOptions
- pattern ListWorkteamsSortByOptions_Name :: ListWorkteamsSortByOptions
newtype MetricSetSource where
- MetricSetSource' {
  - fromMetricSetSource :: Text
  }
- pattern MetricSetSource_Test :: MetricSetSource
- pattern MetricSetSource_Train :: MetricSetSource
- pattern MetricSetSource_Validation :: MetricSetSource
newtype ModelApprovalStatus where
- ModelApprovalStatus' {
  - fromModelApprovalStatus :: Text
  }
- pattern ModelApprovalStatus_Approved :: ModelApprovalStatus
- pattern ModelApprovalStatus_PendingManualApproval :: ModelApprovalStatus
- pattern ModelApprovalStatus_Rejected :: ModelApprovalStatus
newtype ModelCacheSetting where
- ModelCacheSetting' {
  - fromModelCacheSetting :: Text
  }
- pattern ModelCacheSetting_Disabled :: ModelCacheSetting
- pattern ModelCacheSetting_Enabled :: ModelCacheSetting
newtype ModelPackageGroupSortBy where
- ModelPackageGroupSortBy' {
  - fromModelPackageGroupSortBy :: Text
  }
- pattern ModelPackageGroupSortBy_CreationTime :: ModelPackageGroupSortBy
- pattern ModelPackageGroupSortBy_Name :: ModelPackageGroupSortBy
newtype ModelPackageGroupStatus where
- ModelPackageGroupStatus' {
  - fromModelPackageGroupStatus :: Text
  }
- pattern ModelPackageGroupStatus_Completed :: ModelPackageGroupStatus
- pattern ModelPackageGroupStatus_DeleteFailed :: ModelPackageGroupStatus
- pattern ModelPackageGroupStatus_Deleting :: ModelPackageGroupStatus
- pattern ModelPackageGroupStatus_Failed :: ModelPackageGroupStatus
- pattern ModelPackageGroupStatus_InProgress :: ModelPackageGroupStatus
- pattern ModelPackageGroupStatus_Pending :: ModelPackageGroupStatus
newtype ModelPackageSortBy where
- ModelPackageSortBy' {
  - fromModelPackageSortBy :: Text
  }
- pattern ModelPackageSortBy_CreationTime :: ModelPackageSortBy
- pattern ModelPackageSortBy_Name :: ModelPackageSortBy
newtype ModelPackageStatus where
- ModelPackageStatus' {
  - fromModelPackageStatus :: Text
  }
- pattern ModelPackageStatus_Completed :: ModelPackageStatus
- pattern ModelPackageStatus_Deleting :: ModelPackageStatus
- pattern ModelPackageStatus_Failed :: ModelPackageStatus
- pattern ModelPackageStatus_InProgress :: ModelPackageStatus
- pattern ModelPackageStatus_Pending :: ModelPackageStatus
newtype ModelPackageType where
- ModelPackageType' {
  - fromModelPackageType :: Text
  }
- pattern ModelPackageType_Both :: ModelPackageType
- pattern ModelPackageType_Unversioned :: ModelPackageType
- pattern ModelPackageType_Versioned :: ModelPackageType
newtype ModelSortKey where
- ModelSortKey' {
  - fromModelSortKey :: Text
  }
- pattern ModelSortKey_CreationTime :: ModelSortKey
- pattern ModelSortKey_Name :: ModelSortKey
newtype MonitoringExecutionSortKey where
- MonitoringExecutionSortKey' {
  - fromMonitoringExecutionSortKey :: Text
  }
- pattern MonitoringExecutionSortKey_CreationTime :: MonitoringExecutionSortKey
- pattern MonitoringExecutionSortKey_ScheduledTime :: MonitoringExecutionSortKey
- pattern MonitoringExecutionSortKey_Status :: MonitoringExecutionSortKey
newtype MonitoringJobDefinitionSortKey where
- MonitoringJobDefinitionSortKey' {
  - fromMonitoringJobDefinitionSortKey :: Text
  }
- pattern MonitoringJobDefinitionSortKey_CreationTime :: MonitoringJobDefinitionSortKey
- pattern MonitoringJobDefinitionSortKey_Name :: MonitoringJobDefinitionSortKey
newtype MonitoringProblemType where
- MonitoringProblemType' {
  - fromMonitoringProblemType :: Text
  }
- pattern MonitoringProblemType_BinaryClassification :: MonitoringProblemType
- pattern MonitoringProblemType_MulticlassClassification :: MonitoringProblemType
- pattern MonitoringProblemType_Regression :: MonitoringProblemType
newtype MonitoringScheduleSortKey where
- MonitoringScheduleSortKey' {
  - fromMonitoringScheduleSortKey :: Text
  }
- pattern MonitoringScheduleSortKey_CreationTime :: MonitoringScheduleSortKey
- pattern MonitoringScheduleSortKey_Name :: MonitoringScheduleSortKey
- pattern MonitoringScheduleSortKey_Status :: MonitoringScheduleSortKey
newtype MonitoringType where
- MonitoringType' {
  - fromMonitoringType :: Text
  }
- pattern MonitoringType_DataQuality :: MonitoringType
- pattern MonitoringType_ModelBias :: MonitoringType
- pattern MonitoringType_ModelExplainability :: MonitoringType
- pattern MonitoringType_ModelQuality :: MonitoringType
newtype NotebookInstanceAcceleratorType where
- NotebookInstanceAcceleratorType' {
  - fromNotebookInstanceAcceleratorType :: Text
  }
- pattern NotebookInstanceAcceleratorType_Ml_eia1_large :: NotebookInstanceAcceleratorType
- pattern NotebookInstanceAcceleratorType_Ml_eia1_medium :: NotebookInstanceAcceleratorType
- pattern NotebookInstanceAcceleratorType_Ml_eia1_xlarge :: NotebookInstanceAcceleratorType
- pattern NotebookInstanceAcceleratorType_Ml_eia2_large :: NotebookInstanceAcceleratorType
- pattern NotebookInstanceAcceleratorType_Ml_eia2_medium :: NotebookInstanceAcceleratorType
- pattern NotebookInstanceAcceleratorType_Ml_eia2_xlarge :: NotebookInstanceAcceleratorType
newtype NotebookInstanceLifecycleConfigSortKey where
- NotebookInstanceLifecycleConfigSortKey' {
  - fromNotebookInstanceLifecycleConfigSortKey :: Text
  }
- pattern NotebookInstanceLifecycleConfigSortKey_CreationTime :: NotebookInstanceLifecycleConfigSortKey
- pattern NotebookInstanceLifecycleConfigSortKey_LastModifiedTime :: NotebookInstanceLifecycleConfigSortKey
- pattern NotebookInstanceLifecycleConfigSortKey_Name :: NotebookInstanceLifecycleConfigSortKey
newtype NotebookInstanceLifecycleConfigSortOrder where
- NotebookInstanceLifecycleConfigSortOrder' {
  - fromNotebookInstanceLifecycleConfigSortOrder :: Text
  }
- pattern NotebookInstanceLifecycleConfigSortOrder_Ascending :: NotebookInstanceLifecycleConfigSortOrder
- pattern NotebookInstanceLifecycleConfigSortOrder_Descending :: NotebookInstanceLifecycleConfigSortOrder
newtype NotebookInstanceSortKey where
- NotebookInstanceSortKey' {
  - fromNotebookInstanceSortKey :: Text
  }
- pattern NotebookInstanceSortKey_CreationTime :: NotebookInstanceSortKey
- pattern NotebookInstanceSortKey_Name :: NotebookInstanceSortKey
- pattern NotebookInstanceSortKey_Status :: NotebookInstanceSortKey
newtype NotebookInstanceSortOrder where
- NotebookInstanceSortOrder' {
  - fromNotebookInstanceSortOrder :: Text
  }
- pattern NotebookInstanceSortOrder_Ascending :: NotebookInstanceSortOrder
- pattern NotebookInstanceSortOrder_Descending :: NotebookInstanceSortOrder
newtype NotebookInstanceStatus where
- NotebookInstanceStatus' {
  - fromNotebookInstanceStatus :: Text
  }
- pattern NotebookInstanceStatus_Deleting :: NotebookInstanceStatus
- pattern NotebookInstanceStatus_Failed :: NotebookInstanceStatus
- pattern NotebookInstanceStatus_InService :: NotebookInstanceStatus
- pattern NotebookInstanceStatus_Pending :: NotebookInstanceStatus
- pattern NotebookInstanceStatus_Stopped :: NotebookInstanceStatus
- pattern NotebookInstanceStatus_Stopping :: NotebookInstanceStatus
- pattern NotebookInstanceStatus_Updating :: NotebookInstanceStatus
newtype NotebookOutputOption where
- NotebookOutputOption' {
  - fromNotebookOutputOption :: Text
  }
- pattern NotebookOutputOption_Allowed :: NotebookOutputOption
- pattern NotebookOutputOption_Disabled :: NotebookOutputOption
newtype ObjectiveStatus where
- ObjectiveStatus' {
  - fromObjectiveStatus :: Text
  }
- pattern ObjectiveStatus_Failed :: ObjectiveStatus
- pattern ObjectiveStatus_Pending :: ObjectiveStatus
- pattern ObjectiveStatus_Succeeded :: ObjectiveStatus
newtype OfflineStoreStatusValue where
- OfflineStoreStatusValue' {
  - fromOfflineStoreStatusValue :: Text
  }
- pattern OfflineStoreStatusValue_Active :: OfflineStoreStatusValue
- pattern OfflineStoreStatusValue_Blocked :: OfflineStoreStatusValue
- pattern OfflineStoreStatusValue_Disabled :: OfflineStoreStatusValue
newtype Operator where
- Operator' {
  - fromOperator :: Text
  }
- pattern Operator_Contains :: Operator
- pattern Operator_Equals :: Operator
- pattern Operator_Exists :: Operator
- pattern Operator_GreaterThan :: Operator
- pattern Operator_GreaterThanOrEqualTo :: Operator
- pattern Operator_In :: Operator
- pattern Operator_LessThan :: Operator
- pattern Operator_LessThanOrEqualTo :: Operator
- pattern Operator_NotEquals :: Operator
- pattern Operator_NotExists :: Operator
newtype OrderKey where
- OrderKey' {
  - fromOrderKey :: Text
  }
- pattern OrderKey_Ascending :: OrderKey
- pattern OrderKey_Descending :: OrderKey
newtype ParameterType where
- ParameterType' {
  - fromParameterType :: Text
  }
- pattern ParameterType_Categorical :: ParameterType
- pattern ParameterType_Continuous :: ParameterType
- pattern ParameterType_FreeText :: ParameterType
- pattern ParameterType_Integer :: ParameterType
newtype PipelineExecutionStatus where
- PipelineExecutionStatus' {
  - fromPipelineExecutionStatus :: Text
  }
- pattern PipelineExecutionStatus_Executing :: PipelineExecutionStatus
- pattern PipelineExecutionStatus_Failed :: PipelineExecutionStatus
- pattern PipelineExecutionStatus_Stopped :: PipelineExecutionStatus
- pattern PipelineExecutionStatus_Stopping :: PipelineExecutionStatus
- pattern PipelineExecutionStatus_Succeeded :: PipelineExecutionStatus
newtype PipelineStatus where
- PipelineStatus' {
  - fromPipelineStatus :: Text
  }
- pattern PipelineStatus_Active :: PipelineStatus
newtype ProblemType where
- ProblemType' {
  - fromProblemType :: Text
  }
- pattern ProblemType_BinaryClassification :: ProblemType
- pattern ProblemType_MulticlassClassification :: ProblemType
- pattern ProblemType_Regression :: ProblemType
newtype ProcessingInstanceType where
- ProcessingInstanceType' {
  - fromProcessingInstanceType :: Text
  }
- pattern ProcessingInstanceType_Ml_c4_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c4_4xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c4_8xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c4_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c5_18xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c5_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c5_4xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c5_9xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_c5_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_g4dn_12xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_g4dn_16xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_g4dn_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_g4dn_4xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_g4dn_8xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_g4dn_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m4_10xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m4_16xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m4_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m4_4xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m4_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m5_12xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m5_24xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m5_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m5_4xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m5_large :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_m5_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_p2_16xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_p2_8xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_p2_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_p3_16xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_p3_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_p3_8xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_12xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_16xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_24xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_4xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_8xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_large :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_r5_xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_t3_2xlarge :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_t3_large :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_t3_medium :: ProcessingInstanceType
- pattern ProcessingInstanceType_Ml_t3_xlarge :: ProcessingInstanceType
newtype ProcessingJobStatus where
- ProcessingJobStatus' {
  - fromProcessingJobStatus :: Text
  }
- pattern ProcessingJobStatus_Completed :: ProcessingJobStatus
- pattern ProcessingJobStatus_Failed :: ProcessingJobStatus
- pattern ProcessingJobStatus_InProgress :: ProcessingJobStatus
- pattern ProcessingJobStatus_Stopped :: ProcessingJobStatus
- pattern ProcessingJobStatus_Stopping :: ProcessingJobStatus
newtype ProcessingS3CompressionType where
- ProcessingS3CompressionType' {
  - fromProcessingS3CompressionType :: Text
  }
- pattern ProcessingS3CompressionType_Gzip :: ProcessingS3CompressionType
- pattern ProcessingS3CompressionType_None :: ProcessingS3CompressionType
newtype ProcessingS3DataDistributionType where
- ProcessingS3DataDistributionType' {
  - fromProcessingS3DataDistributionType :: Text
  }
- pattern ProcessingS3DataDistributionType_FullyReplicated :: ProcessingS3DataDistributionType
- pattern ProcessingS3DataDistributionType_ShardedByS3Key :: ProcessingS3DataDistributionType
newtype ProcessingS3DataType where
- ProcessingS3DataType' {
  - fromProcessingS3DataType :: Text
  }
- pattern ProcessingS3DataType_ManifestFile :: ProcessingS3DataType
- pattern ProcessingS3DataType_S3Prefix :: ProcessingS3DataType
newtype ProcessingS3InputMode where
- ProcessingS3InputMode' {
  - fromProcessingS3InputMode :: Text
  }
- pattern ProcessingS3InputMode_File :: ProcessingS3InputMode
- pattern ProcessingS3InputMode_Pipe :: ProcessingS3InputMode
newtype ProcessingS3UploadMode where
- ProcessingS3UploadMode' {
  - fromProcessingS3UploadMode :: Text
  }
- pattern ProcessingS3UploadMode_Continuous :: ProcessingS3UploadMode
- pattern ProcessingS3UploadMode_EndOfJob :: ProcessingS3UploadMode
newtype ProductionVariantAcceleratorType where
- ProductionVariantAcceleratorType' {
  - fromProductionVariantAcceleratorType :: Text
  }
- pattern ProductionVariantAcceleratorType_Ml_eia1_large :: ProductionVariantAcceleratorType
- pattern ProductionVariantAcceleratorType_Ml_eia1_medium :: ProductionVariantAcceleratorType
- pattern ProductionVariantAcceleratorType_Ml_eia1_xlarge :: ProductionVariantAcceleratorType
- pattern ProductionVariantAcceleratorType_Ml_eia2_large :: ProductionVariantAcceleratorType
- pattern ProductionVariantAcceleratorType_Ml_eia2_medium :: ProductionVariantAcceleratorType
- pattern ProductionVariantAcceleratorType_Ml_eia2_xlarge :: ProductionVariantAcceleratorType
newtype ProductionVariantInstanceType where
- ProductionVariantInstanceType' {
  - fromProductionVariantInstanceType :: Text
  }
- pattern ProductionVariantInstanceType_Ml_c4_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c4_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c4_8xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c4_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c4_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5_18xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5_9xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5d_18xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5d_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5d_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5d_9xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5d_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_c5d_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_g4dn_12xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_g4dn_16xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_g4dn_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_g4dn_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_g4dn_8xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_g4dn_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_inf1_24xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_inf1_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_inf1_6xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_inf1_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m4_10xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m4_16xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m4_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m4_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m4_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5_12xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5_24xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5d_12xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5d_24xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5d_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5d_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5d_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_m5d_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_p2_16xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_p2_8xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_p2_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_p3_16xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_p3_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_p3_8xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5_12xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5_24xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5d_12xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5d_24xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5d_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5d_4xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5d_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_r5d_xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_t2_2xlarge :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_t2_large :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_t2_medium :: ProductionVariantInstanceType
- pattern ProductionVariantInstanceType_Ml_t2_xlarge :: ProductionVariantInstanceType
newtype ProfilingStatus where
- ProfilingStatus' {
  - fromProfilingStatus :: Text
  }
- pattern ProfilingStatus_Disabled :: ProfilingStatus
- pattern ProfilingStatus_Enabled :: ProfilingStatus
newtype ProjectSortBy where
- ProjectSortBy' {
  - fromProjectSortBy :: Text
  }
- pattern ProjectSortBy_CreationTime :: ProjectSortBy
- pattern ProjectSortBy_Name :: ProjectSortBy
newtype ProjectSortOrder where
- ProjectSortOrder' {
  - fromProjectSortOrder :: Text
  }
- pattern ProjectSortOrder_Ascending :: ProjectSortOrder
- pattern ProjectSortOrder_Descending :: ProjectSortOrder
newtype ProjectStatus where
- ProjectStatus' {
  - fromProjectStatus :: Text
  }
- pattern ProjectStatus_CreateCompleted :: ProjectStatus
- pattern ProjectStatus_CreateFailed :: ProjectStatus
- pattern ProjectStatus_CreateInProgress :: ProjectStatus
- pattern ProjectStatus_DeleteCompleted :: ProjectStatus
- pattern ProjectStatus_DeleteFailed :: ProjectStatus
- pattern ProjectStatus_DeleteInProgress :: ProjectStatus
- pattern ProjectStatus_Pending :: ProjectStatus
newtype RecordWrapper where
- RecordWrapper' {
  - fromRecordWrapper :: Text
  }
- pattern RecordWrapper_None :: RecordWrapper
- pattern RecordWrapper_RecordIO :: RecordWrapper
newtype RedshiftResultCompressionType where
- RedshiftResultCompressionType' {
  - fromRedshiftResultCompressionType :: Text
  }
- pattern RedshiftResultCompressionType_BZIP2 :: RedshiftResultCompressionType
- pattern RedshiftResultCompressionType_GZIP :: RedshiftResultCompressionType
- pattern RedshiftResultCompressionType_None :: RedshiftResultCompressionType
- pattern RedshiftResultCompressionType_SNAPPY :: RedshiftResultCompressionType
- pattern RedshiftResultCompressionType_ZSTD :: RedshiftResultCompressionType
newtype RedshiftResultFormat where
- RedshiftResultFormat' {
  - fromRedshiftResultFormat :: Text
  }
- pattern RedshiftResultFormat_CSV :: RedshiftResultFormat
- pattern RedshiftResultFormat_PARQUET :: RedshiftResultFormat
newtype RepositoryAccessMode where
- RepositoryAccessMode' {
  - fromRepositoryAccessMode :: Text
  }
- pattern RepositoryAccessMode_Platform :: RepositoryAccessMode
- pattern RepositoryAccessMode_Vpc :: RepositoryAccessMode
newtype ResourceType where
- ResourceType' {
  - fromResourceType :: Text
  }
- pattern ResourceType_Endpoint :: ResourceType
- pattern ResourceType_Experiment :: ResourceType
- pattern ResourceType_ExperimentTrial :: ResourceType
- pattern ResourceType_ExperimentTrialComponent :: ResourceType
- pattern ResourceType_FeatureGroup :: ResourceType
- pattern ResourceType_ModelPackage :: ResourceType
- pattern ResourceType_ModelPackageGroup :: ResourceType
- pattern ResourceType_Pipeline :: ResourceType
- pattern ResourceType_PipelineExecution :: ResourceType
- pattern ResourceType_Project :: ResourceType
- pattern ResourceType_TrainingJob :: ResourceType
newtype RetentionType where
- RetentionType' {
  - fromRetentionType :: Text
  }
- pattern RetentionType_Delete :: RetentionType
- pattern RetentionType_Retain :: RetentionType
newtype RootAccess where
- RootAccess' {
  - fromRootAccess :: Text
  }
- pattern RootAccess_Disabled :: RootAccess
- pattern RootAccess_Enabled :: RootAccess
newtype RuleEvaluationStatus where
- RuleEvaluationStatus' {
  - fromRuleEvaluationStatus :: Text
  }
- pattern RuleEvaluationStatus_Error :: RuleEvaluationStatus
- pattern RuleEvaluationStatus_InProgress :: RuleEvaluationStatus
- pattern RuleEvaluationStatus_IssuesFound :: RuleEvaluationStatus
- pattern RuleEvaluationStatus_NoIssuesFound :: RuleEvaluationStatus
- pattern RuleEvaluationStatus_Stopped :: RuleEvaluationStatus
- pattern RuleEvaluationStatus_Stopping :: RuleEvaluationStatus
newtype S3DataDistribution where
- S3DataDistribution' {
  - fromS3DataDistribution :: Text
  }
- pattern S3DataDistribution_FullyReplicated :: S3DataDistribution
- pattern S3DataDistribution_ShardedByS3Key :: S3DataDistribution
newtype S3DataType where
- S3DataType' {
  - fromS3DataType :: Text
  }
- pattern S3DataType_AugmentedManifestFile :: S3DataType
- pattern S3DataType_ManifestFile :: S3DataType
- pattern S3DataType_S3Prefix :: S3DataType
newtype SagemakerServicecatalogStatus where
- SagemakerServicecatalogStatus' {
  - fromSagemakerServicecatalogStatus :: Text
  }
- pattern SagemakerServicecatalogStatus_Disabled :: SagemakerServicecatalogStatus
- pattern SagemakerServicecatalogStatus_Enabled :: SagemakerServicecatalogStatus
newtype ScheduleStatus where
- ScheduleStatus' {
  - fromScheduleStatus :: Text
  }
- pattern ScheduleStatus_Failed :: ScheduleStatus
- pattern ScheduleStatus_Pending :: ScheduleStatus
- pattern ScheduleStatus_Scheduled :: ScheduleStatus
- pattern ScheduleStatus_Stopped :: ScheduleStatus
newtype SearchSortOrder where
- SearchSortOrder' {
  - fromSearchSortOrder :: Text
  }
- pattern SearchSortOrder_Ascending :: SearchSortOrder
- pattern SearchSortOrder_Descending :: SearchSortOrder
newtype SecondaryStatus where
- SecondaryStatus' {
  - fromSecondaryStatus :: Text
  }
- pattern SecondaryStatus_Completed :: SecondaryStatus
- pattern SecondaryStatus_Downloading :: SecondaryStatus
- pattern SecondaryStatus_DownloadingTrainingImage :: SecondaryStatus
- pattern SecondaryStatus_Failed :: SecondaryStatus
- pattern SecondaryStatus_Interrupted :: SecondaryStatus
- pattern SecondaryStatus_LaunchingMLInstances :: SecondaryStatus
- pattern SecondaryStatus_MaxRuntimeExceeded :: SecondaryStatus
- pattern SecondaryStatus_MaxWaitTimeExceeded :: SecondaryStatus
- pattern SecondaryStatus_PreparingTrainingStack :: SecondaryStatus
- pattern SecondaryStatus_Restarting :: SecondaryStatus
- pattern SecondaryStatus_Starting :: SecondaryStatus
- pattern SecondaryStatus_Stopped :: SecondaryStatus
- pattern SecondaryStatus_Stopping :: SecondaryStatus
- pattern SecondaryStatus_Training :: SecondaryStatus
- pattern SecondaryStatus_Updating :: SecondaryStatus
- pattern SecondaryStatus_Uploading :: SecondaryStatus
newtype SortActionsBy where
- SortActionsBy' {
  - fromSortActionsBy :: Text
  }
- pattern SortActionsBy_CreationTime :: SortActionsBy
- pattern SortActionsBy_Name :: SortActionsBy
newtype SortArtifactsBy where
- SortArtifactsBy' {
  - fromSortArtifactsBy :: Text
  }
- pattern SortArtifactsBy_CreationTime :: SortArtifactsBy
newtype SortAssociationsBy where
- SortAssociationsBy' {
  - fromSortAssociationsBy :: Text
  }
- pattern SortAssociationsBy_CreationTime :: SortAssociationsBy
- pattern SortAssociationsBy_DestinationArn :: SortAssociationsBy
- pattern SortAssociationsBy_DestinationType :: SortAssociationsBy
- pattern SortAssociationsBy_SourceArn :: SortAssociationsBy
- pattern SortAssociationsBy_SourceType :: SortAssociationsBy
newtype SortBy where
- SortBy' {
  - fromSortBy :: Text
  }
- pattern SortBy_CreationTime :: SortBy
- pattern SortBy_Name :: SortBy
- pattern SortBy_Status :: SortBy
newtype SortContextsBy where
- SortContextsBy' {
  - fromSortContextsBy :: Text
  }
- pattern SortContextsBy_CreationTime :: SortContextsBy
- pattern SortContextsBy_Name :: SortContextsBy
newtype SortExperimentsBy where
- SortExperimentsBy' {
  - fromSortExperimentsBy :: Text
  }
- pattern SortExperimentsBy_CreationTime :: SortExperimentsBy
- pattern SortExperimentsBy_Name :: SortExperimentsBy
newtype SortOrder where
- SortOrder' {
  - fromSortOrder :: Text
  }
- pattern SortOrder_Ascending :: SortOrder
- pattern SortOrder_Descending :: SortOrder
newtype SortPipelineExecutionsBy where
- SortPipelineExecutionsBy' {
  - fromSortPipelineExecutionsBy :: Text
  }
- pattern SortPipelineExecutionsBy_CreationTime :: SortPipelineExecutionsBy
- pattern SortPipelineExecutionsBy_PipelineExecutionArn :: SortPipelineExecutionsBy
newtype SortPipelinesBy where
- SortPipelinesBy' {
  - fromSortPipelinesBy :: Text
  }
- pattern SortPipelinesBy_CreationTime :: SortPipelinesBy
- pattern SortPipelinesBy_Name :: SortPipelinesBy
newtype SortTrialComponentsBy where
- SortTrialComponentsBy' {
  - fromSortTrialComponentsBy :: Text
  }
- pattern SortTrialComponentsBy_CreationTime :: SortTrialComponentsBy
- pattern SortTrialComponentsBy_Name :: SortTrialComponentsBy
newtype SortTrialsBy where
- SortTrialsBy' {
  - fromSortTrialsBy :: Text
  }
- pattern SortTrialsBy_CreationTime :: SortTrialsBy
- pattern SortTrialsBy_Name :: SortTrialsBy
newtype SplitType where
- SplitType' {
  - fromSplitType :: Text
  }
- pattern SplitType_Line :: SplitType
- pattern SplitType_None :: SplitType
- pattern SplitType_RecordIO :: SplitType
- pattern SplitType_TFRecord :: SplitType
newtype StepStatus where
- StepStatus' {
  - fromStepStatus :: Text
  }
- pattern StepStatus_Executing :: StepStatus
- pattern StepStatus_Failed :: StepStatus
- pattern StepStatus_Starting :: StepStatus
- pattern StepStatus_Stopped :: StepStatus
- pattern StepStatus_Stopping :: StepStatus
- pattern StepStatus_Succeeded :: StepStatus
newtype StudioLifecycleConfigAppType where
- StudioLifecycleConfigAppType' {
  - fromStudioLifecycleConfigAppType :: Text
  }
- pattern StudioLifecycleConfigAppType_JupyterServer :: StudioLifecycleConfigAppType
- pattern StudioLifecycleConfigAppType_KernelGateway :: StudioLifecycleConfigAppType
newtype StudioLifecycleConfigSortKey where
- StudioLifecycleConfigSortKey' {
  - fromStudioLifecycleConfigSortKey :: Text
  }
- pattern StudioLifecycleConfigSortKey_CreationTime :: StudioLifecycleConfigSortKey
- pattern StudioLifecycleConfigSortKey_LastModifiedTime :: StudioLifecycleConfigSortKey
- pattern StudioLifecycleConfigSortKey_Name :: StudioLifecycleConfigSortKey
newtype TargetDevice where
- TargetDevice' {
  - fromTargetDevice :: Text
  }
- pattern TargetDevice_Aisage :: TargetDevice
- pattern TargetDevice_Amba_cv22 :: TargetDevice
- pattern TargetDevice_Amba_cv25 :: TargetDevice
- pattern TargetDevice_Coreml :: TargetDevice
- pattern TargetDevice_Deeplens :: TargetDevice
- pattern TargetDevice_Imx8mplus :: TargetDevice
- pattern TargetDevice_Imx8qm :: TargetDevice
- pattern TargetDevice_Jacinto_tda4vm :: TargetDevice
- pattern TargetDevice_Jetson_nano :: TargetDevice
- pattern TargetDevice_Jetson_tx1 :: TargetDevice
- pattern TargetDevice_Jetson_tx2 :: TargetDevice
- pattern TargetDevice_Jetson_xavier :: TargetDevice
- pattern TargetDevice_Lambda :: TargetDevice
- pattern TargetDevice_Ml_c4 :: TargetDevice
- pattern TargetDevice_Ml_c5 :: TargetDevice
- pattern TargetDevice_Ml_eia2 :: TargetDevice
- pattern TargetDevice_Ml_g4dn :: TargetDevice
- pattern TargetDevice_Ml_inf1 :: TargetDevice
- pattern TargetDevice_Ml_m4 :: TargetDevice
- pattern TargetDevice_Ml_m5 :: TargetDevice
- pattern TargetDevice_Ml_p2 :: TargetDevice
- pattern TargetDevice_Ml_p3 :: TargetDevice
- pattern TargetDevice_Qcs603 :: TargetDevice
- pattern TargetDevice_Qcs605 :: TargetDevice
- pattern TargetDevice_Rasp3b :: TargetDevice
- pattern TargetDevice_Rk3288 :: TargetDevice
- pattern TargetDevice_Rk3399 :: TargetDevice
- pattern TargetDevice_Sbe_c :: TargetDevice
- pattern TargetDevice_Sitara_am57x :: TargetDevice
- pattern TargetDevice_X86_win32 :: TargetDevice
- pattern TargetDevice_X86_win64 :: TargetDevice
newtype TargetPlatformAccelerator where
- TargetPlatformAccelerator' {
  - fromTargetPlatformAccelerator :: Text
  }
- pattern TargetPlatformAccelerator_INTEL_GRAPHICS :: TargetPlatformAccelerator
- pattern TargetPlatformAccelerator_MALI :: TargetPlatformAccelerator
- pattern TargetPlatformAccelerator_NVIDIA :: TargetPlatformAccelerator
newtype TargetPlatformArch where
- TargetPlatformArch' {
  - fromTargetPlatformArch :: Text
  }
- pattern TargetPlatformArch_ARM64 :: TargetPlatformArch
- pattern TargetPlatformArch_ARM_EABI :: TargetPlatformArch
- pattern TargetPlatformArch_ARM_EABIHF :: TargetPlatformArch
- pattern TargetPlatformArch_X86 :: TargetPlatformArch
- pattern TargetPlatformArch_X86_64 :: TargetPlatformArch
newtype TargetPlatformOs where
- TargetPlatformOs' {
  - fromTargetPlatformOs :: Text
  }
- pattern TargetPlatformOs_ANDROID :: TargetPlatformOs
- pattern TargetPlatformOs_LINUX :: TargetPlatformOs
newtype TrafficRoutingConfigType where
- TrafficRoutingConfigType' {
  - fromTrafficRoutingConfigType :: Text
  }
- pattern TrafficRoutingConfigType_ALL_AT_ONCE :: TrafficRoutingConfigType
- pattern TrafficRoutingConfigType_CANARY :: TrafficRoutingConfigType
newtype TrainingInputMode where
- TrainingInputMode' {
  - fromTrainingInputMode :: Text
  }
- pattern TrainingInputMode_FastFile :: TrainingInputMode
- pattern TrainingInputMode_File :: TrainingInputMode
- pattern TrainingInputMode_Pipe :: TrainingInputMode
newtype TrainingInstanceType where
- TrainingInstanceType' {
  - fromTrainingInstanceType :: Text
  }
- pattern TrainingInstanceType_Ml_c4_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c4_4xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c4_8xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c4_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5_18xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5_4xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5_9xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5n_18xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5n_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5n_4xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5n_9xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_c5n_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_g4dn_12xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_g4dn_16xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_g4dn_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_g4dn_4xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_g4dn_8xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_g4dn_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m4_10xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m4_16xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m4_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m4_4xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m4_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m5_12xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m5_24xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m5_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m5_4xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m5_large :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_m5_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p2_16xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p2_8xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p2_xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p3_16xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p3_2xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p3_8xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p3dn_24xlarge :: TrainingInstanceType
- pattern TrainingInstanceType_Ml_p4d_24xlarge :: TrainingInstanceType
newtype TrainingJobEarlyStoppingType where
- TrainingJobEarlyStoppingType' {
  - fromTrainingJobEarlyStoppingType :: Text
  }
- pattern TrainingJobEarlyStoppingType_Auto :: TrainingJobEarlyStoppingType
- pattern TrainingJobEarlyStoppingType_Off :: TrainingJobEarlyStoppingType
newtype TrainingJobSortByOptions where
- TrainingJobSortByOptions' {
  - fromTrainingJobSortByOptions :: Text
  }
- pattern TrainingJobSortByOptions_CreationTime :: TrainingJobSortByOptions
- pattern TrainingJobSortByOptions_FinalObjectiveMetricValue :: TrainingJobSortByOptions
- pattern TrainingJobSortByOptions_Name :: TrainingJobSortByOptions
- pattern TrainingJobSortByOptions_Status :: TrainingJobSortByOptions
newtype TrainingJobStatus where
- TrainingJobStatus' {
  - fromTrainingJobStatus :: Text
  }
- pattern TrainingJobStatus_Completed :: TrainingJobStatus
- pattern TrainingJobStatus_Failed :: TrainingJobStatus
- pattern TrainingJobStatus_InProgress :: TrainingJobStatus
- pattern TrainingJobStatus_Stopped :: TrainingJobStatus
- pattern TrainingJobStatus_Stopping :: TrainingJobStatus
newtype TransformInstanceType where
- TransformInstanceType' {
  - fromTransformInstanceType :: Text
  }
- pattern TransformInstanceType_Ml_c4_2xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c4_4xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c4_8xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c4_xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c5_18xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c5_2xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c5_4xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c5_9xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_c5_xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_g4dn_12xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_g4dn_16xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_g4dn_2xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_g4dn_4xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_g4dn_8xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_g4dn_xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m4_10xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m4_16xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m4_2xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m4_4xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m4_xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m5_12xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m5_24xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m5_2xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m5_4xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_m5_large :: TransformInstanceType
- pattern TransformInstanceType_Ml_m5_xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_p2_16xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_p2_8xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_p2_xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_p3_16xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_p3_2xlarge :: TransformInstanceType
- pattern TransformInstanceType_Ml_p3_8xlarge :: TransformInstanceType
newtype TransformJobStatus where
- TransformJobStatus' {
  - fromTransformJobStatus :: Text
  }
- pattern TransformJobStatus_Completed :: TransformJobStatus
- pattern TransformJobStatus_Failed :: TransformJobStatus
- pattern TransformJobStatus_InProgress :: TransformJobStatus
- pattern TransformJobStatus_Stopped :: TransformJobStatus
- pattern TransformJobStatus_Stopping :: TransformJobStatus
newtype TrialComponentPrimaryStatus where
- TrialComponentPrimaryStatus' {
  - fromTrialComponentPrimaryStatus :: Text
  }
- pattern TrialComponentPrimaryStatus_Completed :: TrialComponentPrimaryStatus
- pattern TrialComponentPrimaryStatus_Failed :: TrialComponentPrimaryStatus
- pattern TrialComponentPrimaryStatus_InProgress :: TrialComponentPrimaryStatus
- pattern TrialComponentPrimaryStatus_Stopped :: TrialComponentPrimaryStatus
- pattern TrialComponentPrimaryStatus_Stopping :: TrialComponentPrimaryStatus
newtype UserProfileSortKey where
- UserProfileSortKey' {
  - fromUserProfileSortKey :: Text
  }
- pattern UserProfileSortKey_CreationTime :: UserProfileSortKey
- pattern UserProfileSortKey_LastModifiedTime :: UserProfileSortKey
newtype UserProfileStatus where
- UserProfileStatus' {
  - fromUserProfileStatus :: Text
  }
- pattern UserProfileStatus_Delete_Failed :: UserProfileStatus
- pattern UserProfileStatus_Deleting :: UserProfileStatus
- pattern UserProfileStatus_Failed :: UserProfileStatus
- pattern UserProfileStatus_InService :: UserProfileStatus
- pattern UserProfileStatus_Pending :: UserProfileStatus
- pattern UserProfileStatus_Update_Failed :: UserProfileStatus
- pattern UserProfileStatus_Updating :: UserProfileStatus
newtype VariantPropertyType where
- VariantPropertyType' {
  - fromVariantPropertyType :: Text
  }
- pattern VariantPropertyType_DataCaptureConfig :: VariantPropertyType
- pattern VariantPropertyType_DesiredInstanceCount :: VariantPropertyType
- pattern VariantPropertyType_DesiredWeight :: VariantPropertyType
data ActionSource = ActionSource' {
- sourceType :: Maybe Text
- sourceId :: Maybe Text
- sourceUri :: Text
}
newActionSource :: Text -> ActionSource
actionSource_sourceType :: Lens' ActionSource (Maybe Text)
actionSource_sourceId :: Lens' ActionSource (Maybe Text)
actionSource_sourceUri :: Lens' ActionSource Text
data ActionSummary = ActionSummary' {
- creationTime :: Maybe POSIX
- status :: Maybe ActionStatus
- lastModifiedTime :: Maybe POSIX
- actionName :: Maybe Text
- source :: Maybe ActionSource
- actionArn :: Maybe Text
- actionType :: Maybe Text
}
newActionSummary :: ActionSummary
actionSummary_creationTime :: Lens' ActionSummary (Maybe UTCTime)
actionSummary_status :: Lens' ActionSummary (Maybe ActionStatus)
actionSummary_lastModifiedTime :: Lens' ActionSummary (Maybe UTCTime)
actionSummary_actionName :: Lens' ActionSummary (Maybe Text)
actionSummary_source :: Lens' ActionSummary (Maybe ActionSource)
actionSummary_actionArn :: Lens' ActionSummary (Maybe Text)
actionSummary_actionType :: Lens' ActionSummary (Maybe Text)
data AgentVersion = AgentVersion' {
- version :: Text
- agentCount :: Integer
}
newAgentVersion :: Text -> Integer -> AgentVersion
agentVersion_version :: Lens' AgentVersion Text
agentVersion_agentCount :: Lens' AgentVersion Integer
data Alarm = Alarm' {
- alarmName :: Maybe Text
}
newAlarm :: Alarm
alarm_alarmName :: Lens' Alarm (Maybe Text)
data AlgorithmSpecification = AlgorithmSpecification' {
- enableSageMakerMetricsTimeSeries :: Maybe Bool
- algorithmName :: Maybe Text
- trainingImage :: Maybe Text
- metricDefinitions :: Maybe [MetricDefinition]
- trainingInputMode :: TrainingInputMode
}
newAlgorithmSpecification :: TrainingInputMode -> AlgorithmSpecification
algorithmSpecification_enableSageMakerMetricsTimeSeries :: Lens' AlgorithmSpecification (Maybe Bool)
algorithmSpecification_algorithmName :: Lens' AlgorithmSpecification (Maybe Text)
algorithmSpecification_trainingImage :: Lens' AlgorithmSpecification (Maybe Text)
algorithmSpecification_metricDefinitions :: Lens' AlgorithmSpecification (Maybe [MetricDefinition])
algorithmSpecification_trainingInputMode :: Lens' AlgorithmSpecification TrainingInputMode
data AlgorithmStatusDetails = AlgorithmStatusDetails' {
- imageScanStatuses :: Maybe [AlgorithmStatusItem]
- validationStatuses :: Maybe [AlgorithmStatusItem]
}
newAlgorithmStatusDetails :: AlgorithmStatusDetails
algorithmStatusDetails_imageScanStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem])
algorithmStatusDetails_validationStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem])
data AlgorithmStatusItem = AlgorithmStatusItem' {
- failureReason :: Maybe Text
- name :: Text
- status :: DetailedAlgorithmStatus
}
newAlgorithmStatusItem :: Text -> DetailedAlgorithmStatus -> AlgorithmStatusItem
algorithmStatusItem_failureReason :: Lens' AlgorithmStatusItem (Maybe Text)
algorithmStatusItem_name :: Lens' AlgorithmStatusItem Text
algorithmStatusItem_status :: Lens' AlgorithmStatusItem DetailedAlgorithmStatus
data AlgorithmSummary = AlgorithmSummary' {
- algorithmDescription :: Maybe Text
- algorithmName :: Text
- algorithmArn :: Text
- creationTime :: POSIX
- algorithmStatus :: AlgorithmStatus
}
newAlgorithmSummary :: Text -> Text -> UTCTime -> AlgorithmStatus -> AlgorithmSummary
algorithmSummary_algorithmDescription :: Lens' AlgorithmSummary (Maybe Text)
algorithmSummary_algorithmName :: Lens' AlgorithmSummary Text
algorithmSummary_algorithmArn :: Lens' AlgorithmSummary Text
algorithmSummary_creationTime :: Lens' AlgorithmSummary UTCTime
algorithmSummary_algorithmStatus :: Lens' AlgorithmSummary AlgorithmStatus
data AlgorithmValidationProfile = AlgorithmValidationProfile' {
- transformJobDefinition :: Maybe TransformJobDefinition
- profileName :: Text
- trainingJobDefinition :: TrainingJobDefinition
}
newAlgorithmValidationProfile :: Text -> TrainingJobDefinition -> AlgorithmValidationProfile
algorithmValidationProfile_transformJobDefinition :: Lens' AlgorithmValidationProfile (Maybe TransformJobDefinition)
algorithmValidationProfile_profileName :: Lens' AlgorithmValidationProfile Text
algorithmValidationProfile_trainingJobDefinition :: Lens' AlgorithmValidationProfile TrainingJobDefinition
data AlgorithmValidationSpecification = AlgorithmValidationSpecification' {
- validationRole :: Text
- validationProfiles :: NonEmpty AlgorithmValidationProfile
}
newAlgorithmValidationSpecification :: Text -> NonEmpty AlgorithmValidationProfile -> AlgorithmValidationSpecification
algorithmValidationSpecification_validationRole :: Lens' AlgorithmValidationSpecification Text
algorithmValidationSpecification_validationProfiles :: Lens' AlgorithmValidationSpecification (NonEmpty AlgorithmValidationProfile)
data AnnotationConsolidationConfig = AnnotationConsolidationConfig' {
- annotationConsolidationLambdaArn :: Text
}
newAnnotationConsolidationConfig :: Text -> AnnotationConsolidationConfig
annotationConsolidationConfig_annotationConsolidationLambdaArn :: Lens' AnnotationConsolidationConfig Text
data AppDetails = AppDetails' {
- creationTime :: Maybe POSIX
- status :: Maybe AppStatus
- userProfileName :: Maybe Text
- appName :: Maybe Text
- domainId :: Maybe Text
- appType :: Maybe AppType
}
newAppDetails :: AppDetails
appDetails_creationTime :: Lens' AppDetails (Maybe UTCTime)
appDetails_status :: Lens' AppDetails (Maybe AppStatus)
appDetails_userProfileName :: Lens' AppDetails (Maybe Text)
appDetails_appName :: Lens' AppDetails (Maybe Text)
appDetails_domainId :: Lens' AppDetails (Maybe Text)
appDetails_appType :: Lens' AppDetails (Maybe AppType)
data AppImageConfigDetails = AppImageConfigDetails' {
- creationTime :: Maybe POSIX
- appImageConfigName :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- kernelGatewayImageConfig :: Maybe KernelGatewayImageConfig
- appImageConfigArn :: Maybe Text
}
newAppImageConfigDetails :: AppImageConfigDetails
appImageConfigDetails_creationTime :: Lens' AppImageConfigDetails (Maybe UTCTime)
appImageConfigDetails_appImageConfigName :: Lens' AppImageConfigDetails (Maybe Text)
appImageConfigDetails_lastModifiedTime :: Lens' AppImageConfigDetails (Maybe UTCTime)
appImageConfigDetails_kernelGatewayImageConfig :: Lens' AppImageConfigDetails (Maybe KernelGatewayImageConfig)
appImageConfigDetails_appImageConfigArn :: Lens' AppImageConfigDetails (Maybe Text)
data AppSpecification = AppSpecification' {
- containerArguments :: Maybe (NonEmpty Text)
- containerEntrypoint :: Maybe (NonEmpty Text)
- imageUri :: Text
}
newAppSpecification :: Text -> AppSpecification
appSpecification_containerArguments :: Lens' AppSpecification (Maybe (NonEmpty Text))
appSpecification_containerEntrypoint :: Lens' AppSpecification (Maybe (NonEmpty Text))
appSpecification_imageUri :: Lens' AppSpecification Text
data ArtifactSource = ArtifactSource' {
- sourceTypes :: Maybe [ArtifactSourceType]
- sourceUri :: Text
}
newArtifactSource :: Text -> ArtifactSource
artifactSource_sourceTypes :: Lens' ArtifactSource (Maybe [ArtifactSourceType])
artifactSource_sourceUri :: Lens' ArtifactSource Text
data ArtifactSourceType = ArtifactSourceType' {
- sourceIdType :: ArtifactSourceIdType
- value :: Text
}
newArtifactSourceType :: ArtifactSourceIdType -> Text -> ArtifactSourceType
artifactSourceType_sourceIdType :: Lens' ArtifactSourceType ArtifactSourceIdType
artifactSourceType_value :: Lens' ArtifactSourceType Text
data ArtifactSummary = ArtifactSummary' {
- creationTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- artifactName :: Maybe Text
- source :: Maybe ArtifactSource
- artifactArn :: Maybe Text
- artifactType :: Maybe Text
}
newArtifactSummary :: ArtifactSummary
artifactSummary_creationTime :: Lens' ArtifactSummary (Maybe UTCTime)
artifactSummary_lastModifiedTime :: Lens' ArtifactSummary (Maybe UTCTime)
artifactSummary_artifactName :: Lens' ArtifactSummary (Maybe Text)
artifactSummary_source :: Lens' ArtifactSummary (Maybe ArtifactSource)
artifactSummary_artifactArn :: Lens' ArtifactSummary (Maybe Text)
artifactSummary_artifactType :: Lens' ArtifactSummary (Maybe Text)
data AssociationSummary = AssociationSummary' {
- creationTime :: Maybe POSIX
- sourceName :: Maybe Text
- sourceType :: Maybe Text
- sourceArn :: Maybe Text
- createdBy :: Maybe UserContext
- associationType :: Maybe AssociationEdgeType
- destinationArn :: Maybe Text
- destinationType :: Maybe Text
- destinationName :: Maybe Text
}
newAssociationSummary :: AssociationSummary
associationSummary_creationTime :: Lens' AssociationSummary (Maybe UTCTime)
associationSummary_sourceName :: Lens' AssociationSummary (Maybe Text)
associationSummary_sourceType :: Lens' AssociationSummary (Maybe Text)
associationSummary_sourceArn :: Lens' AssociationSummary (Maybe Text)
associationSummary_createdBy :: Lens' AssociationSummary (Maybe UserContext)
associationSummary_associationType :: Lens' AssociationSummary (Maybe AssociationEdgeType)
associationSummary_destinationArn :: Lens' AssociationSummary (Maybe Text)
associationSummary_destinationType :: Lens' AssociationSummary (Maybe Text)
associationSummary_destinationName :: Lens' AssociationSummary (Maybe Text)
data AsyncInferenceClientConfig = AsyncInferenceClientConfig' {
- maxConcurrentInvocationsPerInstance :: Maybe Natural
}
newAsyncInferenceClientConfig :: AsyncInferenceClientConfig
asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance :: Lens' AsyncInferenceClientConfig (Maybe Natural)
data AsyncInferenceConfig = AsyncInferenceConfig' {
- clientConfig :: Maybe AsyncInferenceClientConfig
- outputConfig :: AsyncInferenceOutputConfig
}
newAsyncInferenceConfig :: AsyncInferenceOutputConfig -> AsyncInferenceConfig
asyncInferenceConfig_clientConfig :: Lens' AsyncInferenceConfig (Maybe AsyncInferenceClientConfig)
asyncInferenceConfig_outputConfig :: Lens' AsyncInferenceConfig AsyncInferenceOutputConfig
data AsyncInferenceNotificationConfig = AsyncInferenceNotificationConfig' {
- errorTopic :: Maybe Text
- successTopic :: Maybe Text
}
newAsyncInferenceNotificationConfig :: AsyncInferenceNotificationConfig
asyncInferenceNotificationConfig_errorTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text)
asyncInferenceNotificationConfig_successTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text)
data AsyncInferenceOutputConfig = AsyncInferenceOutputConfig' {
- notificationConfig :: Maybe AsyncInferenceNotificationConfig
- kmsKeyId :: Maybe Text
- s3OutputPath :: Text
}
newAsyncInferenceOutputConfig :: Text -> AsyncInferenceOutputConfig
asyncInferenceOutputConfig_notificationConfig :: Lens' AsyncInferenceOutputConfig (Maybe AsyncInferenceNotificationConfig)
asyncInferenceOutputConfig_kmsKeyId :: Lens' AsyncInferenceOutputConfig (Maybe Text)
asyncInferenceOutputConfig_s3OutputPath :: Lens' AsyncInferenceOutputConfig Text
data AthenaDatasetDefinition = AthenaDatasetDefinition' {
- kmsKeyId :: Maybe Text
- workGroup :: Maybe Text
- outputCompression :: Maybe AthenaResultCompressionType
- catalog :: Text
- database :: Text
- queryString :: Text
- outputS3Uri :: Text
- outputFormat :: AthenaResultFormat
}
newAthenaDatasetDefinition :: Text -> Text -> Text -> Text -> AthenaResultFormat -> AthenaDatasetDefinition
athenaDatasetDefinition_kmsKeyId :: Lens' AthenaDatasetDefinition (Maybe Text)
athenaDatasetDefinition_workGroup :: Lens' AthenaDatasetDefinition (Maybe Text)
athenaDatasetDefinition_outputCompression :: Lens' AthenaDatasetDefinition (Maybe AthenaResultCompressionType)
athenaDatasetDefinition_catalog :: Lens' AthenaDatasetDefinition Text
athenaDatasetDefinition_database :: Lens' AthenaDatasetDefinition Text
athenaDatasetDefinition_queryString :: Lens' AthenaDatasetDefinition Text
athenaDatasetDefinition_outputS3Uri :: Lens' AthenaDatasetDefinition Text
athenaDatasetDefinition_outputFormat :: Lens' AthenaDatasetDefinition AthenaResultFormat
data AutoMLCandidate = AutoMLCandidate' {
- failureReason :: Maybe Text
- inferenceContainers :: Maybe [AutoMLContainerDefinition]
- candidateProperties :: Maybe CandidateProperties
- endTime :: Maybe POSIX
- finalAutoMLJobObjectiveMetric :: Maybe FinalAutoMLJobObjectiveMetric
- candidateName :: Text
- objectiveStatus :: ObjectiveStatus
- candidateSteps :: [AutoMLCandidateStep]
- candidateStatus :: CandidateStatus
- creationTime :: POSIX
- lastModifiedTime :: POSIX
}
newAutoMLCandidate :: Text -> ObjectiveStatus -> CandidateStatus -> UTCTime -> UTCTime -> AutoMLCandidate
autoMLCandidate_failureReason :: Lens' AutoMLCandidate (Maybe Text)
autoMLCandidate_inferenceContainers :: Lens' AutoMLCandidate (Maybe [AutoMLContainerDefinition])
autoMLCandidate_candidateProperties :: Lens' AutoMLCandidate (Maybe CandidateProperties)
autoMLCandidate_endTime :: Lens' AutoMLCandidate (Maybe UTCTime)
autoMLCandidate_finalAutoMLJobObjectiveMetric :: Lens' AutoMLCandidate (Maybe FinalAutoMLJobObjectiveMetric)
autoMLCandidate_candidateName :: Lens' AutoMLCandidate Text
autoMLCandidate_objectiveStatus :: Lens' AutoMLCandidate ObjectiveStatus
autoMLCandidate_candidateSteps :: Lens' AutoMLCandidate [AutoMLCandidateStep]
autoMLCandidate_candidateStatus :: Lens' AutoMLCandidate CandidateStatus
autoMLCandidate_creationTime :: Lens' AutoMLCandidate UTCTime
autoMLCandidate_lastModifiedTime :: Lens' AutoMLCandidate UTCTime
data AutoMLCandidateStep = AutoMLCandidateStep' {
- candidateStepType :: CandidateStepType
- candidateStepArn :: Text
- candidateStepName :: Text
}
newAutoMLCandidateStep :: CandidateStepType -> Text -> Text -> AutoMLCandidateStep
autoMLCandidateStep_candidateStepType :: Lens' AutoMLCandidateStep CandidateStepType
autoMLCandidateStep_candidateStepArn :: Lens' AutoMLCandidateStep Text
autoMLCandidateStep_candidateStepName :: Lens' AutoMLCandidateStep Text
data AutoMLChannel = AutoMLChannel' {
- compressionType :: Maybe CompressionType
- dataSource :: AutoMLDataSource
- targetAttributeName :: Text
}
newAutoMLChannel :: AutoMLDataSource -> Text -> AutoMLChannel
autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType)
autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource
autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text
data AutoMLContainerDefinition = AutoMLContainerDefinition' {
- environment :: Maybe (HashMap Text Text)
- image :: Text
- modelDataUrl :: Text
}
newAutoMLContainerDefinition :: Text -> Text -> AutoMLContainerDefinition
autoMLContainerDefinition_environment :: Lens' AutoMLContainerDefinition (Maybe (HashMap Text Text))
autoMLContainerDefinition_image :: Lens' AutoMLContainerDefinition Text
autoMLContainerDefinition_modelDataUrl :: Lens' AutoMLContainerDefinition Text
data AutoMLDataSource = AutoMLDataSource' {
- s3DataSource :: AutoMLS3DataSource
}
newAutoMLDataSource :: AutoMLS3DataSource -> AutoMLDataSource
autoMLDataSource_s3DataSource :: Lens' AutoMLDataSource AutoMLS3DataSource
data AutoMLJobArtifacts = AutoMLJobArtifacts' {
- candidateDefinitionNotebookLocation :: Maybe Text
- dataExplorationNotebookLocation :: Maybe Text
}
newAutoMLJobArtifacts :: AutoMLJobArtifacts
autoMLJobArtifacts_candidateDefinitionNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text)
autoMLJobArtifacts_dataExplorationNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text)
data AutoMLJobCompletionCriteria = AutoMLJobCompletionCriteria' {
- maxCandidates :: Maybe Natural
- maxRuntimePerTrainingJobInSeconds :: Maybe Natural
- maxAutoMLJobRuntimeInSeconds :: Maybe Natural
}
newAutoMLJobCompletionCriteria :: AutoMLJobCompletionCriteria
autoMLJobCompletionCriteria_maxCandidates :: Lens' AutoMLJobCompletionCriteria (Maybe Natural)
autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural)
autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural)
data AutoMLJobConfig = AutoMLJobConfig' {
- securityConfig :: Maybe AutoMLSecurityConfig
- completionCriteria :: Maybe AutoMLJobCompletionCriteria
}
newAutoMLJobConfig :: AutoMLJobConfig
autoMLJobConfig_securityConfig :: Lens' AutoMLJobConfig (Maybe AutoMLSecurityConfig)
autoMLJobConfig_completionCriteria :: Lens' AutoMLJobConfig (Maybe AutoMLJobCompletionCriteria)
data AutoMLJobObjective = AutoMLJobObjective' {
- metricName :: AutoMLMetricEnum
}
newAutoMLJobObjective :: AutoMLMetricEnum -> AutoMLJobObjective
autoMLJobObjective_metricName :: Lens' AutoMLJobObjective AutoMLMetricEnum
data AutoMLJobSummary = AutoMLJobSummary' {
- failureReason :: Maybe Text
- partialFailureReasons :: Maybe (NonEmpty AutoMLPartialFailureReason)
- endTime :: Maybe POSIX
- autoMLJobName :: Text
- autoMLJobArn :: Text
- autoMLJobStatus :: AutoMLJobStatus
- autoMLJobSecondaryStatus :: AutoMLJobSecondaryStatus
- creationTime :: POSIX
- lastModifiedTime :: POSIX
}
newAutoMLJobSummary :: Text -> Text -> AutoMLJobStatus -> AutoMLJobSecondaryStatus -> UTCTime -> UTCTime -> AutoMLJobSummary
autoMLJobSummary_failureReason :: Lens' AutoMLJobSummary (Maybe Text)
autoMLJobSummary_partialFailureReasons :: Lens' AutoMLJobSummary (Maybe (NonEmpty AutoMLPartialFailureReason))
autoMLJobSummary_endTime :: Lens' AutoMLJobSummary (Maybe UTCTime)
autoMLJobSummary_autoMLJobName :: Lens' AutoMLJobSummary Text
autoMLJobSummary_autoMLJobArn :: Lens' AutoMLJobSummary Text
autoMLJobSummary_autoMLJobStatus :: Lens' AutoMLJobSummary AutoMLJobStatus
autoMLJobSummary_autoMLJobSecondaryStatus :: Lens' AutoMLJobSummary AutoMLJobSecondaryStatus
autoMLJobSummary_creationTime :: Lens' AutoMLJobSummary UTCTime
autoMLJobSummary_lastModifiedTime :: Lens' AutoMLJobSummary UTCTime
data AutoMLOutputDataConfig = AutoMLOutputDataConfig' {
- kmsKeyId :: Maybe Text
- s3OutputPath :: Text
}
newAutoMLOutputDataConfig :: Text -> AutoMLOutputDataConfig
autoMLOutputDataConfig_kmsKeyId :: Lens' AutoMLOutputDataConfig (Maybe Text)
autoMLOutputDataConfig_s3OutputPath :: Lens' AutoMLOutputDataConfig Text
data AutoMLPartialFailureReason = AutoMLPartialFailureReason' {
- partialFailureMessage :: Maybe Text
}
newAutoMLPartialFailureReason :: AutoMLPartialFailureReason
autoMLPartialFailureReason_partialFailureMessage :: Lens' AutoMLPartialFailureReason (Maybe Text)
data AutoMLS3DataSource = AutoMLS3DataSource' {
- s3DataType :: AutoMLS3DataType
- s3Uri :: Text
}
newAutoMLS3DataSource :: AutoMLS3DataType -> Text -> AutoMLS3DataSource
autoMLS3DataSource_s3DataType :: Lens' AutoMLS3DataSource AutoMLS3DataType
autoMLS3DataSource_s3Uri :: Lens' AutoMLS3DataSource Text
data AutoMLSecurityConfig = AutoMLSecurityConfig' {
- vpcConfig :: Maybe VpcConfig
- volumeKmsKeyId :: Maybe Text
- enableInterContainerTrafficEncryption :: Maybe Bool
}
newAutoMLSecurityConfig :: AutoMLSecurityConfig
autoMLSecurityConfig_vpcConfig :: Lens' AutoMLSecurityConfig (Maybe VpcConfig)
autoMLSecurityConfig_volumeKmsKeyId :: Lens' AutoMLSecurityConfig (Maybe Text)
autoMLSecurityConfig_enableInterContainerTrafficEncryption :: Lens' AutoMLSecurityConfig (Maybe Bool)
data AutoRollbackConfig = AutoRollbackConfig' {
- alarms :: Maybe (NonEmpty Alarm)
}
newAutoRollbackConfig :: AutoRollbackConfig
autoRollbackConfig_alarms :: Lens' AutoRollbackConfig (Maybe (NonEmpty Alarm))
data Bias = Bias' {
- report :: Maybe MetricsSource
}
newBias :: Bias
bias_report :: Lens' Bias (Maybe MetricsSource)
data BlueGreenUpdatePolicy = BlueGreenUpdatePolicy' {
- maximumExecutionTimeoutInSeconds :: Maybe Natural
- terminationWaitInSeconds :: Maybe Natural
- trafficRoutingConfiguration :: TrafficRoutingConfig
}
newBlueGreenUpdatePolicy :: TrafficRoutingConfig -> BlueGreenUpdatePolicy
blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural)
blueGreenUpdatePolicy_terminationWaitInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural)
blueGreenUpdatePolicy_trafficRoutingConfiguration :: Lens' BlueGreenUpdatePolicy TrafficRoutingConfig
data CacheHitResult = CacheHitResult' {
- sourcePipelineExecutionArn :: Maybe Text
}
newCacheHitResult :: CacheHitResult
cacheHitResult_sourcePipelineExecutionArn :: Lens' CacheHitResult (Maybe Text)
data CallbackStepMetadata = CallbackStepMetadata' {
- callbackToken :: Maybe Text
- outputParameters :: Maybe [OutputParameter]
- sqsQueueUrl :: Maybe Text
}
newCallbackStepMetadata :: CallbackStepMetadata
callbackStepMetadata_callbackToken :: Lens' CallbackStepMetadata (Maybe Text)
callbackStepMetadata_outputParameters :: Lens' CallbackStepMetadata (Maybe [OutputParameter])
callbackStepMetadata_sqsQueueUrl :: Lens' CallbackStepMetadata (Maybe Text)
data CandidateArtifactLocations = CandidateArtifactLocations' {
- explainability :: Text
}
newCandidateArtifactLocations :: Text -> CandidateArtifactLocations
candidateArtifactLocations_explainability :: Lens' CandidateArtifactLocations Text
data CandidateProperties = CandidateProperties' {
- candidateArtifactLocations :: Maybe CandidateArtifactLocations
- candidateMetrics :: Maybe [MetricDatum]
}
newCandidateProperties :: CandidateProperties
candidateProperties_candidateArtifactLocations :: Lens' CandidateProperties (Maybe CandidateArtifactLocations)
candidateProperties_candidateMetrics :: Lens' CandidateProperties (Maybe [MetricDatum])
data CapacitySize = CapacitySize' {
- type' :: CapacitySizeType
- value :: Natural
}
newCapacitySize :: CapacitySizeType -> Natural -> CapacitySize
capacitySize_type :: Lens' CapacitySize CapacitySizeType
capacitySize_value :: Lens' CapacitySize Natural
data CaptureContentTypeHeader = CaptureContentTypeHeader' {
- csvContentTypes :: Maybe (NonEmpty Text)
- jsonContentTypes :: Maybe (NonEmpty Text)
}
newCaptureContentTypeHeader :: CaptureContentTypeHeader
captureContentTypeHeader_csvContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text))
captureContentTypeHeader_jsonContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text))
data CaptureOption = CaptureOption' {
- captureMode :: CaptureMode
}
newCaptureOption :: CaptureMode -> CaptureOption
captureOption_captureMode :: Lens' CaptureOption CaptureMode
data CategoricalParameterRange = CategoricalParameterRange' {
- name :: Text
- values :: NonEmpty Text
}
newCategoricalParameterRange :: Text -> NonEmpty Text -> CategoricalParameterRange
categoricalParameterRange_name :: Lens' CategoricalParameterRange Text
categoricalParameterRange_values :: Lens' CategoricalParameterRange (NonEmpty Text)
data CategoricalParameterRangeSpecification = CategoricalParameterRangeSpecification' {
- values :: NonEmpty Text
}
newCategoricalParameterRangeSpecification :: NonEmpty Text -> CategoricalParameterRangeSpecification
categoricalParameterRangeSpecification_values :: Lens' CategoricalParameterRangeSpecification (NonEmpty Text)
data Channel = Channel' {
- shuffleConfig :: Maybe ShuffleConfig
- recordWrapperType :: Maybe RecordWrapper
- inputMode :: Maybe TrainingInputMode
- compressionType :: Maybe CompressionType
- contentType :: Maybe Text
- channelName :: Text
- dataSource :: DataSource
}
newChannel :: Text -> DataSource -> Channel
channel_shuffleConfig :: Lens' Channel (Maybe ShuffleConfig)
channel_recordWrapperType :: Lens' Channel (Maybe RecordWrapper)
channel_inputMode :: Lens' Channel (Maybe TrainingInputMode)
channel_compressionType :: Lens' Channel (Maybe CompressionType)
channel_contentType :: Lens' Channel (Maybe Text)
channel_channelName :: Lens' Channel Text
channel_dataSource :: Lens' Channel DataSource
data ChannelSpecification = ChannelSpecification' {
- supportedCompressionTypes :: Maybe [CompressionType]
- isRequired :: Maybe Bool
- description :: Maybe Text
- name :: Text
- supportedContentTypes :: [Text]
- supportedInputModes :: NonEmpty TrainingInputMode
}
newChannelSpecification :: Text -> NonEmpty TrainingInputMode -> ChannelSpecification
channelSpecification_supportedCompressionTypes :: Lens' ChannelSpecification (Maybe [CompressionType])
channelSpecification_isRequired :: Lens' ChannelSpecification (Maybe Bool)
channelSpecification_description :: Lens' ChannelSpecification (Maybe Text)
channelSpecification_name :: Lens' ChannelSpecification Text
channelSpecification_supportedContentTypes :: Lens' ChannelSpecification [Text]
channelSpecification_supportedInputModes :: Lens' ChannelSpecification (NonEmpty TrainingInputMode)
data CheckpointConfig = CheckpointConfig' {
- localPath :: Maybe Text
- s3Uri :: Text
}
newCheckpointConfig :: Text -> CheckpointConfig
checkpointConfig_localPath :: Lens' CheckpointConfig (Maybe Text)
checkpointConfig_s3Uri :: Lens' CheckpointConfig Text
data CodeRepositorySummary = CodeRepositorySummary' {
- gitConfig :: Maybe GitConfig
- codeRepositoryName :: Text
- codeRepositoryArn :: Text
- creationTime :: POSIX
- lastModifiedTime :: POSIX
}
newCodeRepositorySummary :: Text -> Text -> UTCTime -> UTCTime -> CodeRepositorySummary
codeRepositorySummary_gitConfig :: Lens' CodeRepositorySummary (Maybe GitConfig)
codeRepositorySummary_codeRepositoryName :: Lens' CodeRepositorySummary Text
codeRepositorySummary_codeRepositoryArn :: Lens' CodeRepositorySummary Text
codeRepositorySummary_creationTime :: Lens' CodeRepositorySummary UTCTime
codeRepositorySummary_lastModifiedTime :: Lens' CodeRepositorySummary UTCTime
data CognitoConfig = CognitoConfig' {
- userPool :: Text
- clientId :: Text
}
newCognitoConfig :: Text -> Text -> CognitoConfig
cognitoConfig_userPool :: Lens' CognitoConfig Text
cognitoConfig_clientId :: Lens' CognitoConfig Text
data CognitoMemberDefinition = CognitoMemberDefinition' {
- userPool :: Text
- userGroup :: Text
- clientId :: Text
}
newCognitoMemberDefinition :: Text -> Text -> Text -> CognitoMemberDefinition
cognitoMemberDefinition_userPool :: Lens' CognitoMemberDefinition Text
cognitoMemberDefinition_userGroup :: Lens' CognitoMemberDefinition Text
cognitoMemberDefinition_clientId :: Lens' CognitoMemberDefinition Text
data CollectionConfiguration = CollectionConfiguration' {
- collectionParameters :: Maybe (HashMap Text Text)
- collectionName :: Maybe Text
}
newCollectionConfiguration :: CollectionConfiguration
collectionConfiguration_collectionParameters :: Lens' CollectionConfiguration (Maybe (HashMap Text Text))
collectionConfiguration_collectionName :: Lens' CollectionConfiguration (Maybe Text)
data CompilationJobSummary = CompilationJobSummary' {
- compilationStartTime :: Maybe POSIX
- compilationTargetPlatformAccelerator :: Maybe TargetPlatformAccelerator
- compilationTargetDevice :: Maybe TargetDevice
- lastModifiedTime :: Maybe POSIX
- compilationTargetPlatformArch :: Maybe TargetPlatformArch
- compilationEndTime :: Maybe POSIX
- compilationTargetPlatformOs :: Maybe TargetPlatformOs
- compilationJobName :: Text
- compilationJobArn :: Text
- creationTime :: POSIX
- compilationJobStatus :: CompilationJobStatus
}
newCompilationJobSummary :: Text -> Text -> UTCTime -> CompilationJobStatus -> CompilationJobSummary
compilationJobSummary_compilationStartTime :: Lens' CompilationJobSummary (Maybe UTCTime)
compilationJobSummary_compilationTargetPlatformAccelerator :: Lens' CompilationJobSummary (Maybe TargetPlatformAccelerator)
compilationJobSummary_compilationTargetDevice :: Lens' CompilationJobSummary (Maybe TargetDevice)
compilationJobSummary_lastModifiedTime :: Lens' CompilationJobSummary (Maybe UTCTime)
compilationJobSummary_compilationTargetPlatformArch :: Lens' CompilationJobSummary (Maybe TargetPlatformArch)
compilationJobSummary_compilationEndTime :: Lens' CompilationJobSummary (Maybe UTCTime)
compilationJobSummary_compilationTargetPlatformOs :: Lens' CompilationJobSummary (Maybe TargetPlatformOs)
compilationJobSummary_compilationJobName :: Lens' CompilationJobSummary Text
compilationJobSummary_compilationJobArn :: Lens' CompilationJobSummary Text
compilationJobSummary_creationTime :: Lens' CompilationJobSummary UTCTime
compilationJobSummary_compilationJobStatus :: Lens' CompilationJobSummary CompilationJobStatus
data ConditionStepMetadata = ConditionStepMetadata' {
- outcome :: Maybe ConditionOutcome
}
newConditionStepMetadata :: ConditionStepMetadata
conditionStepMetadata_outcome :: Lens' ConditionStepMetadata (Maybe ConditionOutcome)
data ContainerDefinition = ContainerDefinition' {
- multiModelConfig :: Maybe MultiModelConfig
- modelDataUrl :: Maybe Text
- image :: Maybe Text
- modelPackageName :: Maybe Text
- environment :: Maybe (HashMap Text Text)
- imageConfig :: Maybe ImageConfig
- mode :: Maybe ContainerMode
- containerHostname :: Maybe Text
}
newContainerDefinition :: ContainerDefinition
containerDefinition_multiModelConfig :: Lens' ContainerDefinition (Maybe MultiModelConfig)
containerDefinition_modelDataUrl :: Lens' ContainerDefinition (Maybe Text)
containerDefinition_image :: Lens' ContainerDefinition (Maybe Text)
containerDefinition_modelPackageName :: Lens' ContainerDefinition (Maybe Text)
containerDefinition_environment :: Lens' ContainerDefinition (Maybe (HashMap Text Text))
containerDefinition_imageConfig :: Lens' ContainerDefinition (Maybe ImageConfig)
containerDefinition_mode :: Lens' ContainerDefinition (Maybe ContainerMode)
containerDefinition_containerHostname :: Lens' ContainerDefinition (Maybe Text)
data ContextSource = ContextSource' {
- sourceType :: Maybe Text
- sourceId :: Maybe Text
- sourceUri :: Text
}
newContextSource :: Text -> ContextSource
contextSource_sourceType :: Lens' ContextSource (Maybe Text)
contextSource_sourceId :: Lens' ContextSource (Maybe Text)
contextSource_sourceUri :: Lens' ContextSource Text
data ContextSummary = ContextSummary' {
- creationTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- contextType :: Maybe Text
- contextArn :: Maybe Text
- source :: Maybe ContextSource
- contextName :: Maybe Text
}
newContextSummary :: ContextSummary
contextSummary_creationTime :: Lens' ContextSummary (Maybe UTCTime)
contextSummary_lastModifiedTime :: Lens' ContextSummary (Maybe UTCTime)
contextSummary_contextType :: Lens' ContextSummary (Maybe Text)
contextSummary_contextArn :: Lens' ContextSummary (Maybe Text)
contextSummary_source :: Lens' ContextSummary (Maybe ContextSource)
contextSummary_contextName :: Lens' ContextSummary (Maybe Text)
data ContinuousParameterRange = ContinuousParameterRange' {
- scalingType :: Maybe HyperParameterScalingType
- name :: Text
- minValue :: Text
- maxValue :: Text
}
newContinuousParameterRange :: Text -> Text -> Text -> ContinuousParameterRange
continuousParameterRange_scalingType :: Lens' ContinuousParameterRange (Maybe HyperParameterScalingType)
continuousParameterRange_name :: Lens' ContinuousParameterRange Text
continuousParameterRange_minValue :: Lens' ContinuousParameterRange Text
continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Text
data ContinuousParameterRangeSpecification = ContinuousParameterRangeSpecification' {
- minValue :: Text
- maxValue :: Text
}
newContinuousParameterRangeSpecification :: Text -> Text -> ContinuousParameterRangeSpecification
continuousParameterRangeSpecification_minValue :: Lens' ContinuousParameterRangeSpecification Text
continuousParameterRangeSpecification_maxValue :: Lens' ContinuousParameterRangeSpecification Text
data CustomImage = CustomImage' {
- imageVersionNumber :: Maybe Natural
- imageName :: Text
- appImageConfigName :: Text
}
newCustomImage :: Text -> Text -> CustomImage
customImage_imageVersionNumber :: Lens' CustomImage (Maybe Natural)
customImage_imageName :: Lens' CustomImage Text
customImage_appImageConfigName :: Lens' CustomImage Text
data DataCaptureConfig = DataCaptureConfig' {
- captureContentTypeHeader :: Maybe CaptureContentTypeHeader
- kmsKeyId :: Maybe Text
- enableCapture :: Maybe Bool
- initialSamplingPercentage :: Natural
- destinationS3Uri :: Text
- captureOptions :: NonEmpty CaptureOption
}
newDataCaptureConfig :: Natural -> Text -> NonEmpty CaptureOption -> DataCaptureConfig
dataCaptureConfig_captureContentTypeHeader :: Lens' DataCaptureConfig (Maybe CaptureContentTypeHeader)
dataCaptureConfig_kmsKeyId :: Lens' DataCaptureConfig (Maybe Text)
dataCaptureConfig_enableCapture :: Lens' DataCaptureConfig (Maybe Bool)
dataCaptureConfig_initialSamplingPercentage :: Lens' DataCaptureConfig Natural
dataCaptureConfig_destinationS3Uri :: Lens' DataCaptureConfig Text
dataCaptureConfig_captureOptions :: Lens' DataCaptureConfig (NonEmpty CaptureOption)
data DataCaptureConfigSummary = DataCaptureConfigSummary' {
- enableCapture :: Bool
- captureStatus :: CaptureStatus
- currentSamplingPercentage :: Natural
- destinationS3Uri :: Text
- kmsKeyId :: Text
}
newDataCaptureConfigSummary :: Bool -> CaptureStatus -> Natural -> Text -> Text -> DataCaptureConfigSummary
dataCaptureConfigSummary_enableCapture :: Lens' DataCaptureConfigSummary Bool
dataCaptureConfigSummary_captureStatus :: Lens' DataCaptureConfigSummary CaptureStatus
dataCaptureConfigSummary_currentSamplingPercentage :: Lens' DataCaptureConfigSummary Natural
dataCaptureConfigSummary_destinationS3Uri :: Lens' DataCaptureConfigSummary Text
dataCaptureConfigSummary_kmsKeyId :: Lens' DataCaptureConfigSummary Text
data DataCatalogConfig = DataCatalogConfig' {
- tableName :: Text
- catalog :: Text
- database :: Text
}
newDataCatalogConfig :: Text -> Text -> Text -> DataCatalogConfig
dataCatalogConfig_tableName :: Lens' DataCatalogConfig Text
dataCatalogConfig_catalog :: Lens' DataCatalogConfig Text
dataCatalogConfig_database :: Lens' DataCatalogConfig Text
data DataProcessing = DataProcessing' {
- outputFilter :: Maybe Text
- joinSource :: Maybe JoinSource
- inputFilter :: Maybe Text
}
newDataProcessing :: DataProcessing
dataProcessing_outputFilter :: Lens' DataProcessing (Maybe Text)
dataProcessing_joinSource :: Lens' DataProcessing (Maybe JoinSource)
dataProcessing_inputFilter :: Lens' DataProcessing (Maybe Text)
data DataQualityAppSpecification = DataQualityAppSpecification' {
- containerArguments :: Maybe (NonEmpty Text)
- recordPreprocessorSourceUri :: Maybe Text
- environment :: Maybe (HashMap Text Text)
- containerEntrypoint :: Maybe (NonEmpty Text)
- postAnalyticsProcessorSourceUri :: Maybe Text
- imageUri :: Text
}
newDataQualityAppSpecification :: Text -> DataQualityAppSpecification
dataQualityAppSpecification_containerArguments :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text))
dataQualityAppSpecification_recordPreprocessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text)
dataQualityAppSpecification_environment :: Lens' DataQualityAppSpecification (Maybe (HashMap Text Text))
dataQualityAppSpecification_containerEntrypoint :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text))
dataQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text)
dataQualityAppSpecification_imageUri :: Lens' DataQualityAppSpecification Text
data DataQualityBaselineConfig = DataQualityBaselineConfig' {
- constraintsResource :: Maybe MonitoringConstraintsResource
- statisticsResource :: Maybe MonitoringStatisticsResource
- baseliningJobName :: Maybe Text
}
newDataQualityBaselineConfig :: DataQualityBaselineConfig
dataQualityBaselineConfig_constraintsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringConstraintsResource)
dataQualityBaselineConfig_statisticsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringStatisticsResource)
dataQualityBaselineConfig_baseliningJobName :: Lens' DataQualityBaselineConfig (Maybe Text)
data DataQualityJobInput = DataQualityJobInput' {
- endpointInput :: EndpointInput
}
newDataQualityJobInput :: EndpointInput -> DataQualityJobInput
dataQualityJobInput_endpointInput :: Lens' DataQualityJobInput EndpointInput
data DataSource = DataSource' {
- s3DataSource :: Maybe S3DataSource
- fileSystemDataSource :: Maybe FileSystemDataSource
}
newDataSource :: DataSource
dataSource_s3DataSource :: Lens' DataSource (Maybe S3DataSource)
dataSource_fileSystemDataSource :: Lens' DataSource (Maybe FileSystemDataSource)
data DatasetDefinition = DatasetDefinition' {
- redshiftDatasetDefinition :: Maybe RedshiftDatasetDefinition
- athenaDatasetDefinition :: Maybe AthenaDatasetDefinition
- localPath :: Maybe Text
- dataDistributionType :: Maybe DataDistributionType
- inputMode :: Maybe InputMode
}
newDatasetDefinition :: DatasetDefinition
datasetDefinition_redshiftDatasetDefinition :: Lens' DatasetDefinition (Maybe RedshiftDatasetDefinition)
datasetDefinition_athenaDatasetDefinition :: Lens' DatasetDefinition (Maybe AthenaDatasetDefinition)
datasetDefinition_localPath :: Lens' DatasetDefinition (Maybe Text)
datasetDefinition_dataDistributionType :: Lens' DatasetDefinition (Maybe DataDistributionType)
datasetDefinition_inputMode :: Lens' DatasetDefinition (Maybe InputMode)
data DebugHookConfig = DebugHookConfig' {
- localPath :: Maybe Text
- collectionConfigurations :: Maybe [CollectionConfiguration]
- hookParameters :: Maybe (HashMap Text Text)
- s3OutputPath :: Text
}
newDebugHookConfig :: Text -> DebugHookConfig
debugHookConfig_localPath :: Lens' DebugHookConfig (Maybe Text)
debugHookConfig_collectionConfigurations :: Lens' DebugHookConfig (Maybe [CollectionConfiguration])
debugHookConfig_hookParameters :: Lens' DebugHookConfig (Maybe (HashMap Text Text))
debugHookConfig_s3OutputPath :: Lens' DebugHookConfig Text
data DebugRuleConfiguration = DebugRuleConfiguration' {
- ruleParameters :: Maybe (HashMap Text Text)
- s3OutputPath :: Maybe Text
- localPath :: Maybe Text
- instanceType :: Maybe ProcessingInstanceType
- volumeSizeInGB :: Maybe Natural
- ruleConfigurationName :: Text
- ruleEvaluatorImage :: Text
}
newDebugRuleConfiguration :: Text -> Text -> DebugRuleConfiguration
debugRuleConfiguration_ruleParameters :: Lens' DebugRuleConfiguration (Maybe (HashMap Text Text))
debugRuleConfiguration_s3OutputPath :: Lens' DebugRuleConfiguration (Maybe Text)
debugRuleConfiguration_localPath :: Lens' DebugRuleConfiguration (Maybe Text)
debugRuleConfiguration_instanceType :: Lens' DebugRuleConfiguration (Maybe ProcessingInstanceType)
debugRuleConfiguration_volumeSizeInGB :: Lens' DebugRuleConfiguration (Maybe Natural)
debugRuleConfiguration_ruleConfigurationName :: Lens' DebugRuleConfiguration Text
debugRuleConfiguration_ruleEvaluatorImage :: Lens' DebugRuleConfiguration Text
data DebugRuleEvaluationStatus = DebugRuleEvaluationStatus' {
- lastModifiedTime :: Maybe POSIX
- statusDetails :: Maybe Text
- ruleEvaluationStatus :: Maybe RuleEvaluationStatus
- ruleEvaluationJobArn :: Maybe Text
- ruleConfigurationName :: Maybe Text
}
newDebugRuleEvaluationStatus :: DebugRuleEvaluationStatus
debugRuleEvaluationStatus_lastModifiedTime :: Lens' DebugRuleEvaluationStatus (Maybe UTCTime)
debugRuleEvaluationStatus_statusDetails :: Lens' DebugRuleEvaluationStatus (Maybe Text)
debugRuleEvaluationStatus_ruleEvaluationStatus :: Lens' DebugRuleEvaluationStatus (Maybe RuleEvaluationStatus)
debugRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' DebugRuleEvaluationStatus (Maybe Text)
debugRuleEvaluationStatus_ruleConfigurationName :: Lens' DebugRuleEvaluationStatus (Maybe Text)
data DeployedImage = DeployedImage' {
- resolvedImage :: Maybe Text
- specifiedImage :: Maybe Text
- resolutionTime :: Maybe POSIX
}
newDeployedImage :: DeployedImage
deployedImage_resolvedImage :: Lens' DeployedImage (Maybe Text)
deployedImage_specifiedImage :: Lens' DeployedImage (Maybe Text)
deployedImage_resolutionTime :: Lens' DeployedImage (Maybe UTCTime)
data DeploymentConfig = DeploymentConfig' {
- autoRollbackConfiguration :: Maybe AutoRollbackConfig
- blueGreenUpdatePolicy :: BlueGreenUpdatePolicy
}
newDeploymentConfig :: BlueGreenUpdatePolicy -> DeploymentConfig
deploymentConfig_autoRollbackConfiguration :: Lens' DeploymentConfig (Maybe AutoRollbackConfig)
deploymentConfig_blueGreenUpdatePolicy :: Lens' DeploymentConfig BlueGreenUpdatePolicy
data DesiredWeightAndCapacity = DesiredWeightAndCapacity' {
- desiredInstanceCount :: Maybe Natural
- desiredWeight :: Maybe Double
- variantName :: Text
}
newDesiredWeightAndCapacity :: Text -> DesiredWeightAndCapacity
desiredWeightAndCapacity_desiredInstanceCount :: Lens' DesiredWeightAndCapacity (Maybe Natural)
desiredWeightAndCapacity_desiredWeight :: Lens' DesiredWeightAndCapacity (Maybe Double)
desiredWeightAndCapacity_variantName :: Lens' DesiredWeightAndCapacity Text
data Device = Device' {
- description :: Maybe Text
- iotThingName :: Maybe Text
- deviceName :: Text
}
newDevice :: Text -> Device
device_description :: Lens' Device (Maybe Text)
device_iotThingName :: Lens' Device (Maybe Text)
device_deviceName :: Lens' Device Text
data DeviceFleetSummary = DeviceFleetSummary' {
- creationTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- deviceFleetArn :: Text
- deviceFleetName :: Text
}
newDeviceFleetSummary :: Text -> Text -> DeviceFleetSummary
deviceFleetSummary_creationTime :: Lens' DeviceFleetSummary (Maybe UTCTime)
deviceFleetSummary_lastModifiedTime :: Lens' DeviceFleetSummary (Maybe UTCTime)
deviceFleetSummary_deviceFleetArn :: Lens' DeviceFleetSummary Text
deviceFleetSummary_deviceFleetName :: Lens' DeviceFleetSummary Text
data DeviceStats = DeviceStats' {
- connectedDeviceCount :: Integer
- registeredDeviceCount :: Integer
}
newDeviceStats :: Integer -> Integer -> DeviceStats
deviceStats_connectedDeviceCount :: Lens' DeviceStats Integer
deviceStats_registeredDeviceCount :: Lens' DeviceStats Integer
data DeviceSummary = DeviceSummary' {
- registrationTime :: Maybe POSIX
- models :: Maybe [EdgeModelSummary]
- latestHeartbeat :: Maybe POSIX
- description :: Maybe Text
- deviceFleetName :: Maybe Text
- iotThingName :: Maybe Text
- deviceName :: Text
- deviceArn :: Text
}
newDeviceSummary :: Text -> Text -> DeviceSummary
deviceSummary_registrationTime :: Lens' DeviceSummary (Maybe UTCTime)
deviceSummary_models :: Lens' DeviceSummary (Maybe [EdgeModelSummary])
deviceSummary_latestHeartbeat :: Lens' DeviceSummary (Maybe UTCTime)
deviceSummary_description :: Lens' DeviceSummary (Maybe Text)
deviceSummary_deviceFleetName :: Lens' DeviceSummary (Maybe Text)
deviceSummary_iotThingName :: Lens' DeviceSummary (Maybe Text)
deviceSummary_deviceName :: Lens' DeviceSummary Text
deviceSummary_deviceArn :: Lens' DeviceSummary Text
data DomainDetails = DomainDetails' {
- creationTime :: Maybe POSIX
- status :: Maybe DomainStatus
- domainArn :: Maybe Text
- url :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- domainName :: Maybe Text
- domainId :: Maybe Text
}
newDomainDetails :: DomainDetails
domainDetails_creationTime :: Lens' DomainDetails (Maybe UTCTime)
domainDetails_status :: Lens' DomainDetails (Maybe DomainStatus)
domainDetails_domainArn :: Lens' DomainDetails (Maybe Text)
domainDetails_url :: Lens' DomainDetails (Maybe Text)
domainDetails_lastModifiedTime :: Lens' DomainDetails (Maybe UTCTime)
domainDetails_domainName :: Lens' DomainDetails (Maybe Text)
domainDetails_domainId :: Lens' DomainDetails (Maybe Text)
data EdgeModel = EdgeModel' {
- latestInference :: Maybe POSIX
- latestSampleTime :: Maybe POSIX
- modelName :: Text
- modelVersion :: Text
}
newEdgeModel :: Text -> Text -> EdgeModel
edgeModel_latestInference :: Lens' EdgeModel (Maybe UTCTime)
edgeModel_latestSampleTime :: Lens' EdgeModel (Maybe UTCTime)
edgeModel_modelName :: Lens' EdgeModel Text
edgeModel_modelVersion :: Lens' EdgeModel Text
data EdgeModelStat = EdgeModelStat' {
- modelName :: Text
- modelVersion :: Text
- offlineDeviceCount :: Integer
- connectedDeviceCount :: Integer
- activeDeviceCount :: Integer
- samplingDeviceCount :: Integer
}
newEdgeModelStat :: Text -> Text -> Integer -> Integer -> Integer -> Integer -> EdgeModelStat
edgeModelStat_modelName :: Lens' EdgeModelStat Text
edgeModelStat_modelVersion :: Lens' EdgeModelStat Text
edgeModelStat_offlineDeviceCount :: Lens' EdgeModelStat Integer
edgeModelStat_connectedDeviceCount :: Lens' EdgeModelStat Integer
edgeModelStat_activeDeviceCount :: Lens' EdgeModelStat Integer
edgeModelStat_samplingDeviceCount :: Lens' EdgeModelStat Integer
data EdgeModelSummary = EdgeModelSummary' {
- modelName :: Text
- modelVersion :: Text
}
newEdgeModelSummary :: Text -> Text -> EdgeModelSummary
edgeModelSummary_modelName :: Lens' EdgeModelSummary Text
edgeModelSummary_modelVersion :: Lens' EdgeModelSummary Text
data EdgeOutputConfig = EdgeOutputConfig' {
- presetDeploymentType :: Maybe EdgePresetDeploymentType
- kmsKeyId :: Maybe Text
- presetDeploymentConfig :: Maybe Text
- s3OutputLocation :: Text
}
newEdgeOutputConfig :: Text -> EdgeOutputConfig
edgeOutputConfig_presetDeploymentType :: Lens' EdgeOutputConfig (Maybe EdgePresetDeploymentType)
edgeOutputConfig_kmsKeyId :: Lens' EdgeOutputConfig (Maybe Text)
edgeOutputConfig_presetDeploymentConfig :: Lens' EdgeOutputConfig (Maybe Text)
edgeOutputConfig_s3OutputLocation :: Lens' EdgeOutputConfig Text
data EdgePackagingJobSummary = EdgePackagingJobSummary' {
- creationTime :: Maybe POSIX
- modelName :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- compilationJobName :: Maybe Text
- modelVersion :: Maybe Text
- edgePackagingJobArn :: Text
- edgePackagingJobName :: Text
- edgePackagingJobStatus :: EdgePackagingJobStatus
}
newEdgePackagingJobSummary :: Text -> Text -> EdgePackagingJobStatus -> EdgePackagingJobSummary
edgePackagingJobSummary_creationTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime)
edgePackagingJobSummary_modelName :: Lens' EdgePackagingJobSummary (Maybe Text)
edgePackagingJobSummary_lastModifiedTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime)
edgePackagingJobSummary_compilationJobName :: Lens' EdgePackagingJobSummary (Maybe Text)
edgePackagingJobSummary_modelVersion :: Lens' EdgePackagingJobSummary (Maybe Text)
edgePackagingJobSummary_edgePackagingJobArn :: Lens' EdgePackagingJobSummary Text
edgePackagingJobSummary_edgePackagingJobName :: Lens' EdgePackagingJobSummary Text
edgePackagingJobSummary_edgePackagingJobStatus :: Lens' EdgePackagingJobSummary EdgePackagingJobStatus
data EdgePresetDeploymentOutput = EdgePresetDeploymentOutput' {
- status :: Maybe EdgePresetDeploymentStatus
- artifact :: Maybe Text
- statusMessage :: Maybe Text
- type' :: EdgePresetDeploymentType
}
newEdgePresetDeploymentOutput :: EdgePresetDeploymentType -> EdgePresetDeploymentOutput
edgePresetDeploymentOutput_status :: Lens' EdgePresetDeploymentOutput (Maybe EdgePresetDeploymentStatus)
edgePresetDeploymentOutput_artifact :: Lens' EdgePresetDeploymentOutput (Maybe Text)
edgePresetDeploymentOutput_statusMessage :: Lens' EdgePresetDeploymentOutput (Maybe Text)
edgePresetDeploymentOutput_type :: Lens' EdgePresetDeploymentOutput EdgePresetDeploymentType
data Endpoint = Endpoint' {
- failureReason :: Maybe Text
- productionVariants :: Maybe (NonEmpty ProductionVariantSummary)
- monitoringSchedules :: Maybe [MonitoringSchedule]
- dataCaptureConfig :: Maybe DataCaptureConfigSummary
- tags :: Maybe [Tag]
- endpointName :: Text
- endpointArn :: Text
- endpointConfigName :: Text
- endpointStatus :: EndpointStatus
- creationTime :: POSIX
- lastModifiedTime :: POSIX
}
newEndpoint :: Text -> Text -> Text -> EndpointStatus -> UTCTime -> UTCTime -> Endpoint
endpoint_failureReason :: Lens' Endpoint (Maybe Text)
endpoint_productionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary))
endpoint_monitoringSchedules :: Lens' Endpoint (Maybe [MonitoringSchedule])
endpoint_dataCaptureConfig :: Lens' Endpoint (Maybe DataCaptureConfigSummary)
endpoint_tags :: Lens' Endpoint (Maybe [Tag])
endpoint_endpointName :: Lens' Endpoint Text
endpoint_endpointArn :: Lens' Endpoint Text
endpoint_endpointConfigName :: Lens' Endpoint Text
endpoint_endpointStatus :: Lens' Endpoint EndpointStatus
endpoint_creationTime :: Lens' Endpoint UTCTime
endpoint_lastModifiedTime :: Lens' Endpoint UTCTime
data EndpointConfigSummary = EndpointConfigSummary' {
- endpointConfigName :: Text
- endpointConfigArn :: Text
- creationTime :: POSIX
}
newEndpointConfigSummary :: Text -> Text -> UTCTime -> EndpointConfigSummary
endpointConfigSummary_endpointConfigName :: Lens' EndpointConfigSummary Text
endpointConfigSummary_endpointConfigArn :: Lens' EndpointConfigSummary Text
endpointConfigSummary_creationTime :: Lens' EndpointConfigSummary UTCTime
data EndpointInput = EndpointInput' {
- inferenceAttribute :: Maybe Text
- s3DataDistributionType :: Maybe ProcessingS3DataDistributionType
- s3InputMode :: Maybe ProcessingS3InputMode
- startTimeOffset :: Maybe Text
- featuresAttribute :: Maybe Text
- endTimeOffset :: Maybe Text
- probabilityThresholdAttribute :: Maybe Double
- probabilityAttribute :: Maybe Text
- endpointName :: Text
- localPath :: Text
}
newEndpointInput :: Text -> Text -> EndpointInput
endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text)
endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType)
endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode)
endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text)
endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text)
endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text)
endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double)
endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text)
endpointInput_endpointName :: Lens' EndpointInput Text
endpointInput_localPath :: Lens' EndpointInput Text
data EndpointSummary = EndpointSummary' {
- endpointName :: Text
- endpointArn :: Text
- creationTime :: POSIX
- lastModifiedTime :: POSIX
- endpointStatus :: EndpointStatus
}
newEndpointSummary :: Text -> Text -> UTCTime -> UTCTime -> EndpointStatus -> EndpointSummary
endpointSummary_endpointName :: Lens' EndpointSummary Text
endpointSummary_endpointArn :: Lens' EndpointSummary Text
endpointSummary_creationTime :: Lens' EndpointSummary UTCTime
endpointSummary_lastModifiedTime :: Lens' EndpointSummary UTCTime
endpointSummary_endpointStatus :: Lens' EndpointSummary EndpointStatus
data Experiment = Experiment' {
- creationTime :: Maybe POSIX
- createdBy :: Maybe UserContext
- lastModifiedTime :: Maybe POSIX
- experimentName :: Maybe Text
- experimentArn :: Maybe Text
- source :: Maybe ExperimentSource
- displayName :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- description :: Maybe Text
- tags :: Maybe [Tag]
}
newExperiment :: Experiment
experiment_creationTime :: Lens' Experiment (Maybe UTCTime)
experiment_createdBy :: Lens' Experiment (Maybe UserContext)
experiment_lastModifiedTime :: Lens' Experiment (Maybe UTCTime)
experiment_experimentName :: Lens' Experiment (Maybe Text)
experiment_experimentArn :: Lens' Experiment (Maybe Text)
experiment_source :: Lens' Experiment (Maybe ExperimentSource)
experiment_displayName :: Lens' Experiment (Maybe Text)
experiment_lastModifiedBy :: Lens' Experiment (Maybe UserContext)
experiment_description :: Lens' Experiment (Maybe Text)
experiment_tags :: Lens' Experiment (Maybe [Tag])
data ExperimentConfig = ExperimentConfig' {
- trialComponentDisplayName :: Maybe Text
- experimentName :: Maybe Text
- trialName :: Maybe Text
}
newExperimentConfig :: ExperimentConfig
experimentConfig_trialComponentDisplayName :: Lens' ExperimentConfig (Maybe Text)
experimentConfig_experimentName :: Lens' ExperimentConfig (Maybe Text)
experimentConfig_trialName :: Lens' ExperimentConfig (Maybe Text)
data ExperimentSource = ExperimentSource' {
- sourceType :: Maybe Text
- sourceArn :: Text
}
newExperimentSource :: Text -> ExperimentSource
experimentSource_sourceType :: Lens' ExperimentSource (Maybe Text)
experimentSource_sourceArn :: Lens' ExperimentSource Text
data ExperimentSummary = ExperimentSummary' {
- creationTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- experimentName :: Maybe Text
- experimentSource :: Maybe ExperimentSource
- experimentArn :: Maybe Text
- displayName :: Maybe Text
}
newExperimentSummary :: ExperimentSummary
experimentSummary_creationTime :: Lens' ExperimentSummary (Maybe UTCTime)
experimentSummary_lastModifiedTime :: Lens' ExperimentSummary (Maybe UTCTime)
experimentSummary_experimentName :: Lens' ExperimentSummary (Maybe Text)
experimentSummary_experimentSource :: Lens' ExperimentSummary (Maybe ExperimentSource)
experimentSummary_experimentArn :: Lens' ExperimentSummary (Maybe Text)
experimentSummary_displayName :: Lens' ExperimentSummary (Maybe Text)
data Explainability = Explainability' {
- report :: Maybe MetricsSource
}
newExplainability :: Explainability
explainability_report :: Lens' Explainability (Maybe MetricsSource)
data FeatureDefinition = FeatureDefinition' {
- featureType :: Maybe FeatureType
- featureName :: Maybe Text
}
newFeatureDefinition :: FeatureDefinition
featureDefinition_featureType :: Lens' FeatureDefinition (Maybe FeatureType)
featureDefinition_featureName :: Lens' FeatureDefinition (Maybe Text)
data FeatureGroup = FeatureGroup' {
- creationTime :: Maybe POSIX
- offlineStoreConfig :: Maybe OfflineStoreConfig
- failureReason :: Maybe Text
- featureGroupStatus :: Maybe FeatureGroupStatus
- featureDefinitions :: Maybe (NonEmpty FeatureDefinition)
- offlineStoreStatus :: Maybe OfflineStoreStatus
- onlineStoreConfig :: Maybe OnlineStoreConfig
- eventTimeFeatureName :: Maybe Text
- recordIdentifierFeatureName :: Maybe Text
- featureGroupArn :: Maybe Text
- featureGroupName :: Maybe Text
- description :: Maybe Text
- tags :: Maybe [Tag]
- roleArn :: Maybe Text
}
newFeatureGroup :: FeatureGroup
featureGroup_creationTime :: Lens' FeatureGroup (Maybe UTCTime)
featureGroup_offlineStoreConfig :: Lens' FeatureGroup (Maybe OfflineStoreConfig)
featureGroup_failureReason :: Lens' FeatureGroup (Maybe Text)
featureGroup_featureGroupStatus :: Lens' FeatureGroup (Maybe FeatureGroupStatus)
featureGroup_featureDefinitions :: Lens' FeatureGroup (Maybe (NonEmpty FeatureDefinition))
featureGroup_offlineStoreStatus :: Lens' FeatureGroup (Maybe OfflineStoreStatus)
featureGroup_onlineStoreConfig :: Lens' FeatureGroup (Maybe OnlineStoreConfig)
featureGroup_eventTimeFeatureName :: Lens' FeatureGroup (Maybe Text)
featureGroup_recordIdentifierFeatureName :: Lens' FeatureGroup (Maybe Text)
featureGroup_featureGroupArn :: Lens' FeatureGroup (Maybe Text)
featureGroup_featureGroupName :: Lens' FeatureGroup (Maybe Text)
featureGroup_description :: Lens' FeatureGroup (Maybe Text)
featureGroup_tags :: Lens' FeatureGroup (Maybe [Tag])
featureGroup_roleArn :: Lens' FeatureGroup (Maybe Text)
data FeatureGroupSummary = FeatureGroupSummary' {
- featureGroupStatus :: Maybe FeatureGroupStatus
- offlineStoreStatus :: Maybe OfflineStoreStatus
- featureGroupName :: Text
- featureGroupArn :: Text
- creationTime :: POSIX
}
newFeatureGroupSummary :: Text -> Text -> UTCTime -> FeatureGroupSummary
featureGroupSummary_featureGroupStatus :: Lens' FeatureGroupSummary (Maybe FeatureGroupStatus)
featureGroupSummary_offlineStoreStatus :: Lens' FeatureGroupSummary (Maybe OfflineStoreStatus)
featureGroupSummary_featureGroupName :: Lens' FeatureGroupSummary Text
featureGroupSummary_featureGroupArn :: Lens' FeatureGroupSummary Text
featureGroupSummary_creationTime :: Lens' FeatureGroupSummary UTCTime
data FileSystemConfig = FileSystemConfig' {
- defaultGid :: Maybe Natural
- mountPath :: Maybe Text
- defaultUid :: Maybe Natural
}
newFileSystemConfig :: FileSystemConfig
fileSystemConfig_defaultGid :: Lens' FileSystemConfig (Maybe Natural)
fileSystemConfig_mountPath :: Lens' FileSystemConfig (Maybe Text)
fileSystemConfig_defaultUid :: Lens' FileSystemConfig (Maybe Natural)
data FileSystemDataSource = FileSystemDataSource' {
- fileSystemId :: Text
- fileSystemAccessMode :: FileSystemAccessMode
- fileSystemType :: FileSystemType
- directoryPath :: Text
}
newFileSystemDataSource :: Text -> FileSystemAccessMode -> FileSystemType -> Text -> FileSystemDataSource
fileSystemDataSource_fileSystemId :: Lens' FileSystemDataSource Text
fileSystemDataSource_fileSystemAccessMode :: Lens' FileSystemDataSource FileSystemAccessMode
fileSystemDataSource_fileSystemType :: Lens' FileSystemDataSource FileSystemType
fileSystemDataSource_directoryPath :: Lens' FileSystemDataSource Text
data Filter = Filter' {
- operator :: Maybe Operator
- value :: Maybe Text
- name :: Text
}
newFilter :: Text -> Filter
filter_operator :: Lens' Filter (Maybe Operator)
filter_value :: Lens' Filter (Maybe Text)
filter_name :: Lens' Filter Text
data FinalAutoMLJobObjectiveMetric = FinalAutoMLJobObjectiveMetric' {
- type' :: Maybe AutoMLJobObjectiveType
- metricName :: AutoMLMetricEnum
- value :: Double
}
newFinalAutoMLJobObjectiveMetric :: AutoMLMetricEnum -> Double -> FinalAutoMLJobObjectiveMetric
finalAutoMLJobObjectiveMetric_type :: Lens' FinalAutoMLJobObjectiveMetric (Maybe AutoMLJobObjectiveType)
finalAutoMLJobObjectiveMetric_metricName :: Lens' FinalAutoMLJobObjectiveMetric AutoMLMetricEnum
finalAutoMLJobObjectiveMetric_value :: Lens' FinalAutoMLJobObjectiveMetric Double
data FinalHyperParameterTuningJobObjectiveMetric = FinalHyperParameterTuningJobObjectiveMetric' {
- type' :: Maybe HyperParameterTuningJobObjectiveType
- metricName :: Text
- value :: Double
}
newFinalHyperParameterTuningJobObjectiveMetric :: Text -> Double -> FinalHyperParameterTuningJobObjectiveMetric
finalHyperParameterTuningJobObjectiveMetric_type :: Lens' FinalHyperParameterTuningJobObjectiveMetric (Maybe HyperParameterTuningJobObjectiveType)
finalHyperParameterTuningJobObjectiveMetric_metricName :: Lens' FinalHyperParameterTuningJobObjectiveMetric Text
finalHyperParameterTuningJobObjectiveMetric_value :: Lens' FinalHyperParameterTuningJobObjectiveMetric Double
data FlowDefinitionOutputConfig = FlowDefinitionOutputConfig' {
- kmsKeyId :: Maybe Text
- s3OutputPath :: Text
}
newFlowDefinitionOutputConfig :: Text -> FlowDefinitionOutputConfig
flowDefinitionOutputConfig_kmsKeyId :: Lens' FlowDefinitionOutputConfig (Maybe Text)
flowDefinitionOutputConfig_s3OutputPath :: Lens' FlowDefinitionOutputConfig Text
data FlowDefinitionSummary = FlowDefinitionSummary' {
- failureReason :: Maybe Text
- flowDefinitionName :: Text
- flowDefinitionArn :: Text
- flowDefinitionStatus :: FlowDefinitionStatus
- creationTime :: POSIX
}
newFlowDefinitionSummary :: Text -> Text -> FlowDefinitionStatus -> UTCTime -> FlowDefinitionSummary
flowDefinitionSummary_failureReason :: Lens' FlowDefinitionSummary (Maybe Text)
flowDefinitionSummary_flowDefinitionName :: Lens' FlowDefinitionSummary Text
flowDefinitionSummary_flowDefinitionArn :: Lens' FlowDefinitionSummary Text
flowDefinitionSummary_flowDefinitionStatus :: Lens' FlowDefinitionSummary FlowDefinitionStatus
flowDefinitionSummary_creationTime :: Lens' FlowDefinitionSummary UTCTime
data GitConfig = GitConfig' {
- branch :: Maybe Text
- secretArn :: Maybe Text
- repositoryUrl :: Text
}
newGitConfig :: Text -> GitConfig
gitConfig_branch :: Lens' GitConfig (Maybe Text)
gitConfig_secretArn :: Lens' GitConfig (Maybe Text)
gitConfig_repositoryUrl :: Lens' GitConfig Text
data GitConfigForUpdate = GitConfigForUpdate' {
- secretArn :: Maybe Text
}
newGitConfigForUpdate :: GitConfigForUpdate
gitConfigForUpdate_secretArn :: Lens' GitConfigForUpdate (Maybe Text)
data HumanLoopActivationConditionsConfig = HumanLoopActivationConditionsConfig' {
- humanLoopActivationConditions :: Text
}
newHumanLoopActivationConditionsConfig :: Text -> HumanLoopActivationConditionsConfig
humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text
data HumanLoopActivationConfig = HumanLoopActivationConfig' {
- humanLoopActivationConditionsConfig :: HumanLoopActivationConditionsConfig
}
newHumanLoopActivationConfig :: HumanLoopActivationConditionsConfig -> HumanLoopActivationConfig
humanLoopActivationConfig_humanLoopActivationConditionsConfig :: Lens' HumanLoopActivationConfig HumanLoopActivationConditionsConfig
data HumanLoopConfig = HumanLoopConfig' {
- taskKeywords :: Maybe (NonEmpty Text)
- publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice
- taskTimeLimitInSeconds :: Maybe Natural
- taskAvailabilityLifetimeInSeconds :: Maybe Natural
- workteamArn :: Text
- humanTaskUiArn :: Text
- taskTitle :: Text
- taskDescription :: Text
- taskCount :: Natural
}
newHumanLoopConfig :: Text -> Text -> Text -> Text -> Natural -> HumanLoopConfig
humanLoopConfig_taskKeywords :: Lens' HumanLoopConfig (Maybe (NonEmpty Text))
humanLoopConfig_publicWorkforceTaskPrice :: Lens' HumanLoopConfig (Maybe PublicWorkforceTaskPrice)
humanLoopConfig_taskTimeLimitInSeconds :: Lens' HumanLoopConfig (Maybe Natural)
humanLoopConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanLoopConfig (Maybe Natural)
humanLoopConfig_workteamArn :: Lens' HumanLoopConfig Text
humanLoopConfig_humanTaskUiArn :: Lens' HumanLoopConfig Text
humanLoopConfig_taskTitle :: Lens' HumanLoopConfig Text
humanLoopConfig_taskDescription :: Lens' HumanLoopConfig Text
humanLoopConfig_taskCount :: Lens' HumanLoopConfig Natural
data HumanLoopRequestSource = HumanLoopRequestSource' {
- awsManagedHumanLoopRequestSource :: AwsManagedHumanLoopRequestSource
}
newHumanLoopRequestSource :: AwsManagedHumanLoopRequestSource -> HumanLoopRequestSource
humanLoopRequestSource_awsManagedHumanLoopRequestSource :: Lens' HumanLoopRequestSource AwsManagedHumanLoopRequestSource
data HumanTaskConfig = HumanTaskConfig' {
- taskKeywords :: Maybe (NonEmpty Text)
- publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice
- taskAvailabilityLifetimeInSeconds :: Maybe Natural
- maxConcurrentTaskCount :: Maybe Natural
- workteamArn :: Text
- uiConfig :: UiConfig
- preHumanTaskLambdaArn :: Text
- taskTitle :: Text
- taskDescription :: Text
- numberOfHumanWorkersPerDataObject :: Natural
- taskTimeLimitInSeconds :: Natural
- annotationConsolidationConfig :: AnnotationConsolidationConfig
}
newHumanTaskConfig :: Text -> UiConfig -> Text -> Text -> Text -> Natural -> Natural -> AnnotationConsolidationConfig -> HumanTaskConfig
humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text))
humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice)
humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural)
humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural)
humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text
humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig
humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text
humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text
humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text
humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural
humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural
humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig
data HumanTaskUiSummary = HumanTaskUiSummary' {
- humanTaskUiName :: Text
- humanTaskUiArn :: Text
- creationTime :: POSIX
}
newHumanTaskUiSummary :: Text -> Text -> UTCTime -> HumanTaskUiSummary
humanTaskUiSummary_humanTaskUiName :: Lens' HumanTaskUiSummary Text
humanTaskUiSummary_humanTaskUiArn :: Lens' HumanTaskUiSummary Text
humanTaskUiSummary_creationTime :: Lens' HumanTaskUiSummary UTCTime
data HyperParameterAlgorithmSpecification = HyperParameterAlgorithmSpecification' {
- algorithmName :: Maybe Text
- trainingImage :: Maybe Text
- metricDefinitions :: Maybe [MetricDefinition]
- trainingInputMode :: TrainingInputMode
}
newHyperParameterAlgorithmSpecification :: TrainingInputMode -> HyperParameterAlgorithmSpecification
hyperParameterAlgorithmSpecification_algorithmName :: Lens' HyperParameterAlgorithmSpecification (Maybe Text)
hyperParameterAlgorithmSpecification_trainingImage :: Lens' HyperParameterAlgorithmSpecification (Maybe Text)
hyperParameterAlgorithmSpecification_metricDefinitions :: Lens' HyperParameterAlgorithmSpecification (Maybe [MetricDefinition])
hyperParameterAlgorithmSpecification_trainingInputMode :: Lens' HyperParameterAlgorithmSpecification TrainingInputMode
data HyperParameterSpecification = HyperParameterSpecification' {
- isTunable :: Maybe Bool
- range :: Maybe ParameterRange
- defaultValue :: Maybe Text
- isRequired :: Maybe Bool
- description :: Maybe Text
- name :: Text
- type' :: ParameterType
}
newHyperParameterSpecification :: Text -> ParameterType -> HyperParameterSpecification
hyperParameterSpecification_isTunable :: Lens' HyperParameterSpecification (Maybe Bool)
hyperParameterSpecification_range :: Lens' HyperParameterSpecification (Maybe ParameterRange)
hyperParameterSpecification_defaultValue :: Lens' HyperParameterSpecification (Maybe Text)
hyperParameterSpecification_isRequired :: Lens' HyperParameterSpecification (Maybe Bool)
hyperParameterSpecification_description :: Lens' HyperParameterSpecification (Maybe Text)
hyperParameterSpecification_name :: Lens' HyperParameterSpecification Text
hyperParameterSpecification_type :: Lens' HyperParameterSpecification ParameterType
data HyperParameterTrainingJobDefinition = HyperParameterTrainingJobDefinition' {
- tuningObjective :: Maybe HyperParameterTuningJobObjective
- checkpointConfig :: Maybe CheckpointConfig
- hyperParameterRanges :: Maybe ParameterRanges
- retryStrategy :: Maybe RetryStrategy
- enableNetworkIsolation :: Maybe Bool
- staticHyperParameters :: Maybe (HashMap Text Text)
- enableManagedSpotTraining :: Maybe Bool
- inputDataConfig :: Maybe (NonEmpty Channel)
- vpcConfig :: Maybe VpcConfig
- definitionName :: Maybe Text
- enableInterContainerTrafficEncryption :: Maybe Bool
- algorithmSpecification :: HyperParameterAlgorithmSpecification
- roleArn :: Text
- outputDataConfig :: OutputDataConfig
- resourceConfig :: ResourceConfig
- stoppingCondition :: StoppingCondition
}
newHyperParameterTrainingJobDefinition :: HyperParameterAlgorithmSpecification -> Text -> OutputDataConfig -> ResourceConfig -> StoppingCondition -> HyperParameterTrainingJobDefinition
hyperParameterTrainingJobDefinition_tuningObjective :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningJobObjective)
hyperParameterTrainingJobDefinition_checkpointConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe CheckpointConfig)
hyperParameterTrainingJobDefinition_hyperParameterRanges :: Lens' HyperParameterTrainingJobDefinition (Maybe ParameterRanges)
hyperParameterTrainingJobDefinition_retryStrategy :: Lens' HyperParameterTrainingJobDefinition (Maybe RetryStrategy)
hyperParameterTrainingJobDefinition_enableNetworkIsolation :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool)
hyperParameterTrainingJobDefinition_staticHyperParameters :: Lens' HyperParameterTrainingJobDefinition (Maybe (HashMap Text Text))
hyperParameterTrainingJobDefinition_enableManagedSpotTraining :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool)
hyperParameterTrainingJobDefinition_inputDataConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe (NonEmpty Channel))
hyperParameterTrainingJobDefinition_vpcConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe VpcConfig)
hyperParameterTrainingJobDefinition_definitionName :: Lens' HyperParameterTrainingJobDefinition (Maybe Text)
hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool)
hyperParameterTrainingJobDefinition_algorithmSpecification :: Lens' HyperParameterTrainingJobDefinition HyperParameterAlgorithmSpecification
hyperParameterTrainingJobDefinition_roleArn :: Lens' HyperParameterTrainingJobDefinition Text
hyperParameterTrainingJobDefinition_outputDataConfig :: Lens' HyperParameterTrainingJobDefinition OutputDataConfig
hyperParameterTrainingJobDefinition_resourceConfig :: Lens' HyperParameterTrainingJobDefinition ResourceConfig
hyperParameterTrainingJobDefinition_stoppingCondition :: Lens' HyperParameterTrainingJobDefinition StoppingCondition
data HyperParameterTrainingJobSummary = HyperParameterTrainingJobSummary' {
- failureReason :: Maybe Text
- tuningJobName :: Maybe Text
- trainingEndTime :: Maybe POSIX
- objectiveStatus :: Maybe ObjectiveStatus
- trainingJobDefinitionName :: Maybe Text
- trainingStartTime :: Maybe POSIX
- finalHyperParameterTuningJobObjectiveMetric :: Maybe FinalHyperParameterTuningJobObjectiveMetric
- trainingJobName :: Text
- trainingJobArn :: Text
- creationTime :: POSIX
- trainingJobStatus :: TrainingJobStatus
- tunedHyperParameters :: HashMap Text Text
}
newHyperParameterTrainingJobSummary :: Text -> Text -> UTCTime -> TrainingJobStatus -> HyperParameterTrainingJobSummary
hyperParameterTrainingJobSummary_failureReason :: Lens' HyperParameterTrainingJobSummary (Maybe Text)
hyperParameterTrainingJobSummary_tuningJobName :: Lens' HyperParameterTrainingJobSummary (Maybe Text)
hyperParameterTrainingJobSummary_trainingEndTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime)
hyperParameterTrainingJobSummary_objectiveStatus :: Lens' HyperParameterTrainingJobSummary (Maybe ObjectiveStatus)
hyperParameterTrainingJobSummary_trainingJobDefinitionName :: Lens' HyperParameterTrainingJobSummary (Maybe Text)
hyperParameterTrainingJobSummary_trainingStartTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime)
hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric :: Lens' HyperParameterTrainingJobSummary (Maybe FinalHyperParameterTuningJobObjectiveMetric)
hyperParameterTrainingJobSummary_trainingJobName :: Lens' HyperParameterTrainingJobSummary Text
hyperParameterTrainingJobSummary_trainingJobArn :: Lens' HyperParameterTrainingJobSummary Text
hyperParameterTrainingJobSummary_creationTime :: Lens' HyperParameterTrainingJobSummary UTCTime
hyperParameterTrainingJobSummary_trainingJobStatus :: Lens' HyperParameterTrainingJobSummary TrainingJobStatus
hyperParameterTrainingJobSummary_tunedHyperParameters :: Lens' HyperParameterTrainingJobSummary (HashMap Text Text)
data HyperParameterTuningJobConfig = HyperParameterTuningJobConfig' {
- tuningJobCompletionCriteria :: Maybe TuningJobCompletionCriteria
- parameterRanges :: Maybe ParameterRanges
- hyperParameterTuningJobObjective :: Maybe HyperParameterTuningJobObjective
- trainingJobEarlyStoppingType :: Maybe TrainingJobEarlyStoppingType
- strategy :: HyperParameterTuningJobStrategyType
- resourceLimits :: ResourceLimits
}
newHyperParameterTuningJobConfig :: HyperParameterTuningJobStrategyType -> ResourceLimits -> HyperParameterTuningJobConfig
hyperParameterTuningJobConfig_tuningJobCompletionCriteria :: Lens' HyperParameterTuningJobConfig (Maybe TuningJobCompletionCriteria)
hyperParameterTuningJobConfig_parameterRanges :: Lens' HyperParameterTuningJobConfig (Maybe ParameterRanges)
hyperParameterTuningJobConfig_hyperParameterTuningJobObjective :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobObjective)
hyperParameterTuningJobConfig_trainingJobEarlyStoppingType :: Lens' HyperParameterTuningJobConfig (Maybe TrainingJobEarlyStoppingType)
hyperParameterTuningJobConfig_strategy :: Lens' HyperParameterTuningJobConfig HyperParameterTuningJobStrategyType
hyperParameterTuningJobConfig_resourceLimits :: Lens' HyperParameterTuningJobConfig ResourceLimits
data HyperParameterTuningJobObjective = HyperParameterTuningJobObjective' {
- type' :: HyperParameterTuningJobObjectiveType
- metricName :: Text
}
newHyperParameterTuningJobObjective :: HyperParameterTuningJobObjectiveType -> Text -> HyperParameterTuningJobObjective
hyperParameterTuningJobObjective_type :: Lens' HyperParameterTuningJobObjective HyperParameterTuningJobObjectiveType
hyperParameterTuningJobObjective_metricName :: Lens' HyperParameterTuningJobObjective Text
data HyperParameterTuningJobSummary = HyperParameterTuningJobSummary' {
- resourceLimits :: Maybe ResourceLimits
- lastModifiedTime :: Maybe POSIX
- hyperParameterTuningEndTime :: Maybe POSIX
- hyperParameterTuningJobName :: Text
- hyperParameterTuningJobArn :: Text
- hyperParameterTuningJobStatus :: HyperParameterTuningJobStatus
- strategy :: HyperParameterTuningJobStrategyType
- creationTime :: POSIX
- trainingJobStatusCounters :: TrainingJobStatusCounters
- objectiveStatusCounters :: ObjectiveStatusCounters
}
newHyperParameterTuningJobSummary :: Text -> Text -> HyperParameterTuningJobStatus -> HyperParameterTuningJobStrategyType -> UTCTime -> TrainingJobStatusCounters -> ObjectiveStatusCounters -> HyperParameterTuningJobSummary
hyperParameterTuningJobSummary_resourceLimits :: Lens' HyperParameterTuningJobSummary (Maybe ResourceLimits)
hyperParameterTuningJobSummary_lastModifiedTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime)
hyperParameterTuningJobSummary_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime)
hyperParameterTuningJobSummary_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSummary Text
hyperParameterTuningJobSummary_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSummary Text
hyperParameterTuningJobSummary_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStatus
hyperParameterTuningJobSummary_strategy :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStrategyType
hyperParameterTuningJobSummary_creationTime :: Lens' HyperParameterTuningJobSummary UTCTime
hyperParameterTuningJobSummary_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSummary TrainingJobStatusCounters
hyperParameterTuningJobSummary_objectiveStatusCounters :: Lens' HyperParameterTuningJobSummary ObjectiveStatusCounters
data HyperParameterTuningJobWarmStartConfig = HyperParameterTuningJobWarmStartConfig' {
- parentHyperParameterTuningJobs :: NonEmpty ParentHyperParameterTuningJob
- warmStartType :: HyperParameterTuningJobWarmStartType
}
newHyperParameterTuningJobWarmStartConfig :: NonEmpty ParentHyperParameterTuningJob -> HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartConfig
hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs :: Lens' HyperParameterTuningJobWarmStartConfig (NonEmpty ParentHyperParameterTuningJob)
hyperParameterTuningJobWarmStartConfig_warmStartType :: Lens' HyperParameterTuningJobWarmStartConfig HyperParameterTuningJobWarmStartType
data Image = Image' {
- failureReason :: Maybe Text
- displayName :: Maybe Text
- description :: Maybe Text
- creationTime :: POSIX
- imageArn :: Text
- imageName :: Text
- imageStatus :: ImageStatus
- lastModifiedTime :: POSIX
}
newImage :: UTCTime -> Text -> Text -> ImageStatus -> UTCTime -> Image
image_failureReason :: Lens' Image (Maybe Text)
image_displayName :: Lens' Image (Maybe Text)
image_description :: Lens' Image (Maybe Text)
image_creationTime :: Lens' Image UTCTime
image_imageArn :: Lens' Image Text
image_imageName :: Lens' Image Text
image_imageStatus :: Lens' Image ImageStatus
image_lastModifiedTime :: Lens' Image UTCTime
data ImageConfig = ImageConfig' {
- repositoryAuthConfig :: Maybe RepositoryAuthConfig
- repositoryAccessMode :: RepositoryAccessMode
}
newImageConfig :: RepositoryAccessMode -> ImageConfig
imageConfig_repositoryAuthConfig :: Lens' ImageConfig (Maybe RepositoryAuthConfig)
imageConfig_repositoryAccessMode :: Lens' ImageConfig RepositoryAccessMode
data ImageVersion = ImageVersion' {
- failureReason :: Maybe Text
- creationTime :: POSIX
- imageArn :: Text
- imageVersionArn :: Text
- imageVersionStatus :: ImageVersionStatus
- lastModifiedTime :: POSIX
- version :: Natural
}
newImageVersion :: UTCTime -> Text -> Text -> ImageVersionStatus -> UTCTime -> Natural -> ImageVersion
imageVersion_failureReason :: Lens' ImageVersion (Maybe Text)
imageVersion_creationTime :: Lens' ImageVersion UTCTime
imageVersion_imageArn :: Lens' ImageVersion Text
imageVersion_imageVersionArn :: Lens' ImageVersion Text
imageVersion_imageVersionStatus :: Lens' ImageVersion ImageVersionStatus
imageVersion_lastModifiedTime :: Lens' ImageVersion UTCTime
imageVersion_version :: Lens' ImageVersion Natural
data InferenceExecutionConfig = InferenceExecutionConfig' {
- mode :: InferenceExecutionMode
}
newInferenceExecutionConfig :: InferenceExecutionMode -> InferenceExecutionConfig
inferenceExecutionConfig_mode :: Lens' InferenceExecutionConfig InferenceExecutionMode
data InferenceSpecification = InferenceSpecification' {
- supportedRealtimeInferenceInstanceTypes :: Maybe [ProductionVariantInstanceType]
- supportedTransformInstanceTypes :: Maybe (NonEmpty TransformInstanceType)
- containers :: NonEmpty ModelPackageContainerDefinition
- supportedContentTypes :: [Text]
- supportedResponseMIMETypes :: [Text]
}
newInferenceSpecification :: NonEmpty ModelPackageContainerDefinition -> InferenceSpecification
inferenceSpecification_supportedRealtimeInferenceInstanceTypes :: Lens' InferenceSpecification (Maybe [ProductionVariantInstanceType])
inferenceSpecification_supportedTransformInstanceTypes :: Lens' InferenceSpecification (Maybe (NonEmpty TransformInstanceType))
inferenceSpecification_containers :: Lens' InferenceSpecification (NonEmpty ModelPackageContainerDefinition)
inferenceSpecification_supportedContentTypes :: Lens' InferenceSpecification [Text]
inferenceSpecification_supportedResponseMIMETypes :: Lens' InferenceSpecification [Text]
data InputConfig = InputConfig' {
- frameworkVersion :: Maybe Text
- s3Uri :: Text
- dataInputConfig :: Text
- framework :: Framework
}
newInputConfig :: Text -> Text -> Framework -> InputConfig
inputConfig_frameworkVersion :: Lens' InputConfig (Maybe Text)
inputConfig_s3Uri :: Lens' InputConfig Text
inputConfig_dataInputConfig :: Lens' InputConfig Text
inputConfig_framework :: Lens' InputConfig Framework
data IntegerParameterRange = IntegerParameterRange' {
- scalingType :: Maybe HyperParameterScalingType
- name :: Text
- minValue :: Text
- maxValue :: Text
}
newIntegerParameterRange :: Text -> Text -> Text -> IntegerParameterRange
integerParameterRange_scalingType :: Lens' IntegerParameterRange (Maybe HyperParameterScalingType)
integerParameterRange_name :: Lens' IntegerParameterRange Text
integerParameterRange_minValue :: Lens' IntegerParameterRange Text
integerParameterRange_maxValue :: Lens' IntegerParameterRange Text
data IntegerParameterRangeSpecification = IntegerParameterRangeSpecification' {
- minValue :: Text
- maxValue :: Text
}
newIntegerParameterRangeSpecification :: Text -> Text -> IntegerParameterRangeSpecification
integerParameterRangeSpecification_minValue :: Lens' IntegerParameterRangeSpecification Text
integerParameterRangeSpecification_maxValue :: Lens' IntegerParameterRangeSpecification Text
data JupyterServerAppSettings = JupyterServerAppSettings' {
- defaultResourceSpec :: Maybe ResourceSpec
- lifecycleConfigArns :: Maybe [Text]
}
newJupyterServerAppSettings :: JupyterServerAppSettings
jupyterServerAppSettings_defaultResourceSpec :: Lens' JupyterServerAppSettings (Maybe ResourceSpec)
jupyterServerAppSettings_lifecycleConfigArns :: Lens' JupyterServerAppSettings (Maybe [Text])
data KernelGatewayAppSettings = KernelGatewayAppSettings' {
- defaultResourceSpec :: Maybe ResourceSpec
- customImages :: Maybe [CustomImage]
- lifecycleConfigArns :: Maybe [Text]
}
newKernelGatewayAppSettings :: KernelGatewayAppSettings
kernelGatewayAppSettings_defaultResourceSpec :: Lens' KernelGatewayAppSettings (Maybe ResourceSpec)
kernelGatewayAppSettings_customImages :: Lens' KernelGatewayAppSettings (Maybe [CustomImage])
kernelGatewayAppSettings_lifecycleConfigArns :: Lens' KernelGatewayAppSettings (Maybe [Text])
data KernelGatewayImageConfig = KernelGatewayImageConfig' {
- fileSystemConfig :: Maybe FileSystemConfig
- kernelSpecs :: NonEmpty KernelSpec
}
newKernelGatewayImageConfig :: NonEmpty KernelSpec -> KernelGatewayImageConfig
kernelGatewayImageConfig_fileSystemConfig :: Lens' KernelGatewayImageConfig (Maybe FileSystemConfig)
kernelGatewayImageConfig_kernelSpecs :: Lens' KernelGatewayImageConfig (NonEmpty KernelSpec)
data KernelSpec = KernelSpec' {
- displayName :: Maybe Text
- name :: Text
}
newKernelSpec :: Text -> KernelSpec
kernelSpec_displayName :: Lens' KernelSpec (Maybe Text)
kernelSpec_name :: Lens' KernelSpec Text
data LabelCounters = LabelCounters' {
- machineLabeled :: Maybe Natural
- totalLabeled :: Maybe Natural
- failedNonRetryableError :: Maybe Natural
- unlabeled :: Maybe Natural
- humanLabeled :: Maybe Natural
}
newLabelCounters :: LabelCounters
labelCounters_machineLabeled :: Lens' LabelCounters (Maybe Natural)
labelCounters_totalLabeled :: Lens' LabelCounters (Maybe Natural)
labelCounters_failedNonRetryableError :: Lens' LabelCounters (Maybe Natural)
labelCounters_unlabeled :: Lens' LabelCounters (Maybe Natural)
labelCounters_humanLabeled :: Lens' LabelCounters (Maybe Natural)
data LabelCountersForWorkteam = LabelCountersForWorkteam' {
- pendingHuman :: Maybe Natural
- total :: Maybe Natural
- humanLabeled :: Maybe Natural
}
newLabelCountersForWorkteam :: LabelCountersForWorkteam
labelCountersForWorkteam_pendingHuman :: Lens' LabelCountersForWorkteam (Maybe Natural)
labelCountersForWorkteam_total :: Lens' LabelCountersForWorkteam (Maybe Natural)
labelCountersForWorkteam_humanLabeled :: Lens' LabelCountersForWorkteam (Maybe Natural)
data LabelingJobAlgorithmsConfig = LabelingJobAlgorithmsConfig' {
- labelingJobResourceConfig :: Maybe LabelingJobResourceConfig
- initialActiveLearningModelArn :: Maybe Text
- labelingJobAlgorithmSpecificationArn :: Text
}
newLabelingJobAlgorithmsConfig :: Text -> LabelingJobAlgorithmsConfig
labelingJobAlgorithmsConfig_labelingJobResourceConfig :: Lens' LabelingJobAlgorithmsConfig (Maybe LabelingJobResourceConfig)
labelingJobAlgorithmsConfig_initialActiveLearningModelArn :: Lens' LabelingJobAlgorithmsConfig (Maybe Text)
labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn :: Lens' LabelingJobAlgorithmsConfig Text
data LabelingJobDataAttributes = LabelingJobDataAttributes' {
- contentClassifiers :: Maybe [ContentClassifier]
}
newLabelingJobDataAttributes :: LabelingJobDataAttributes
labelingJobDataAttributes_contentClassifiers :: Lens' LabelingJobDataAttributes (Maybe [ContentClassifier])
data LabelingJobDataSource = LabelingJobDataSource' {
- s3DataSource :: Maybe LabelingJobS3DataSource
- snsDataSource :: Maybe LabelingJobSnsDataSource
}
newLabelingJobDataSource :: LabelingJobDataSource
labelingJobDataSource_s3DataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobS3DataSource)
labelingJobDataSource_snsDataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobSnsDataSource)
data LabelingJobForWorkteamSummary = LabelingJobForWorkteamSummary' {
- numberOfHumanWorkersPerDataObject :: Maybe Natural
- labelCounters :: Maybe LabelCountersForWorkteam
- labelingJobName :: Maybe Text
- jobReferenceCode :: Text
- workRequesterAccountId :: Text
- creationTime :: POSIX
}
newLabelingJobForWorkteamSummary :: Text -> Text -> UTCTime -> LabelingJobForWorkteamSummary
labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject :: Lens' LabelingJobForWorkteamSummary (Maybe Natural)
labelingJobForWorkteamSummary_labelCounters :: Lens' LabelingJobForWorkteamSummary (Maybe LabelCountersForWorkteam)
labelingJobForWorkteamSummary_labelingJobName :: Lens' LabelingJobForWorkteamSummary (Maybe Text)
labelingJobForWorkteamSummary_jobReferenceCode :: Lens' LabelingJobForWorkteamSummary Text
labelingJobForWorkteamSummary_workRequesterAccountId :: Lens' LabelingJobForWorkteamSummary Text
labelingJobForWorkteamSummary_creationTime :: Lens' LabelingJobForWorkteamSummary UTCTime
data LabelingJobInputConfig = LabelingJobInputConfig' {
- dataAttributes :: Maybe LabelingJobDataAttributes
- dataSource :: LabelingJobDataSource
}
newLabelingJobInputConfig :: LabelingJobDataSource -> LabelingJobInputConfig
labelingJobInputConfig_dataAttributes :: Lens' LabelingJobInputConfig (Maybe LabelingJobDataAttributes)
labelingJobInputConfig_dataSource :: Lens' LabelingJobInputConfig LabelingJobDataSource
data LabelingJobOutput = LabelingJobOutput' {
- finalActiveLearningModelArn :: Maybe Text
- outputDatasetS3Uri :: Text
}
newLabelingJobOutput :: Text -> LabelingJobOutput
labelingJobOutput_finalActiveLearningModelArn :: Lens' LabelingJobOutput (Maybe Text)
labelingJobOutput_outputDatasetS3Uri :: Lens' LabelingJobOutput Text
data LabelingJobOutputConfig = LabelingJobOutputConfig' {
- snsTopicArn :: Maybe Text
- kmsKeyId :: Maybe Text
- s3OutputPath :: Text
}
newLabelingJobOutputConfig :: Text -> LabelingJobOutputConfig
labelingJobOutputConfig_snsTopicArn :: Lens' LabelingJobOutputConfig (Maybe Text)
labelingJobOutputConfig_kmsKeyId :: Lens' LabelingJobOutputConfig (Maybe Text)
labelingJobOutputConfig_s3OutputPath :: Lens' LabelingJobOutputConfig Text
data LabelingJobResourceConfig = LabelingJobResourceConfig' {
- volumeKmsKeyId :: Maybe Text
}
newLabelingJobResourceConfig :: LabelingJobResourceConfig
labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text)
data LabelingJobS3DataSource = LabelingJobS3DataSource' {
- manifestS3Uri :: Text
}
newLabelingJobS3DataSource :: Text -> LabelingJobS3DataSource
labelingJobS3DataSource_manifestS3Uri :: Lens' LabelingJobS3DataSource Text
data LabelingJobSnsDataSource = LabelingJobSnsDataSource' {
- snsTopicArn :: Text
}
newLabelingJobSnsDataSource :: Text -> LabelingJobSnsDataSource
labelingJobSnsDataSource_snsTopicArn :: Lens' LabelingJobSnsDataSource Text
data LabelingJobStoppingConditions = LabelingJobStoppingConditions' {
- maxHumanLabeledObjectCount :: Maybe Natural
- maxPercentageOfInputDatasetLabeled :: Maybe Natural
}
newLabelingJobStoppingConditions :: LabelingJobStoppingConditions
labelingJobStoppingConditions_maxHumanLabeledObjectCount :: Lens' LabelingJobStoppingConditions (Maybe Natural)
labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled :: Lens' LabelingJobStoppingConditions (Maybe Natural)
data LabelingJobSummary = LabelingJobSummary' {
- failureReason :: Maybe Text
- annotationConsolidationLambdaArn :: Maybe Text
- inputConfig :: Maybe LabelingJobInputConfig
- labelingJobOutput :: Maybe LabelingJobOutput
- labelingJobName :: Text
- labelingJobArn :: Text
- creationTime :: POSIX
- lastModifiedTime :: POSIX
- labelingJobStatus :: LabelingJobStatus
- labelCounters :: LabelCounters
- workteamArn :: Text
- preHumanTaskLambdaArn :: Text
}
newLabelingJobSummary :: Text -> Text -> UTCTime -> UTCTime -> LabelingJobStatus -> LabelCounters -> Text -> Text -> LabelingJobSummary
labelingJobSummary_failureReason :: Lens' LabelingJobSummary (Maybe Text)
labelingJobSummary_annotationConsolidationLambdaArn :: Lens' LabelingJobSummary (Maybe Text)
labelingJobSummary_inputConfig :: Lens' LabelingJobSummary (Maybe LabelingJobInputConfig)
labelingJobSummary_labelingJobOutput :: Lens' LabelingJobSummary (Maybe LabelingJobOutput)
labelingJobSummary_labelingJobName :: Lens' LabelingJobSummary Text
labelingJobSummary_labelingJobArn :: Lens' LabelingJobSummary Text
labelingJobSummary_creationTime :: Lens' LabelingJobSummary UTCTime
labelingJobSummary_lastModifiedTime :: Lens' LabelingJobSummary UTCTime
labelingJobSummary_labelingJobStatus :: Lens' LabelingJobSummary LabelingJobStatus
labelingJobSummary_labelCounters :: Lens' LabelingJobSummary LabelCounters
labelingJobSummary_workteamArn :: Lens' LabelingJobSummary Text
labelingJobSummary_preHumanTaskLambdaArn :: Lens' LabelingJobSummary Text
data LambdaStepMetadata = LambdaStepMetadata' {
- arn :: Maybe Text
- outputParameters :: Maybe [OutputParameter]
}
newLambdaStepMetadata :: LambdaStepMetadata
lambdaStepMetadata_arn :: Lens' LambdaStepMetadata (Maybe Text)
lambdaStepMetadata_outputParameters :: Lens' LambdaStepMetadata (Maybe [OutputParameter])
data MemberDefinition = MemberDefinition' {
- oidcMemberDefinition :: Maybe OidcMemberDefinition
- cognitoMemberDefinition :: Maybe CognitoMemberDefinition
}
newMemberDefinition :: MemberDefinition
memberDefinition_oidcMemberDefinition :: Lens' MemberDefinition (Maybe OidcMemberDefinition)
memberDefinition_cognitoMemberDefinition :: Lens' MemberDefinition (Maybe CognitoMemberDefinition)
data MetadataProperties = MetadataProperties' {
- commitId :: Maybe Text
- repository :: Maybe Text
- generatedBy :: Maybe Text
- projectId :: Maybe Text
}
newMetadataProperties :: MetadataProperties
metadataProperties_commitId :: Lens' MetadataProperties (Maybe Text)
metadataProperties_repository :: Lens' MetadataProperties (Maybe Text)
metadataProperties_generatedBy :: Lens' MetadataProperties (Maybe Text)
metadataProperties_projectId :: Lens' MetadataProperties (Maybe Text)
data MetricData = MetricData' {
- metricName :: Maybe Text
- value :: Maybe Double
- timestamp :: Maybe POSIX
}
newMetricData :: MetricData
metricData_metricName :: Lens' MetricData (Maybe Text)
metricData_value :: Lens' MetricData (Maybe Double)
metricData_timestamp :: Lens' MetricData (Maybe UTCTime)
data MetricDatum = MetricDatum' {
- set :: Maybe MetricSetSource
- metricName :: Maybe AutoMLMetricEnum
- value :: Maybe Double
}
newMetricDatum :: MetricDatum
metricDatum_set :: Lens' MetricDatum (Maybe MetricSetSource)
metricDatum_metricName :: Lens' MetricDatum (Maybe AutoMLMetricEnum)
metricDatum_value :: Lens' MetricDatum (Maybe Double)
data MetricDefinition = MetricDefinition' {
- name :: Text
- regex :: Text
}
newMetricDefinition :: Text -> Text -> MetricDefinition
metricDefinition_name :: Lens' MetricDefinition Text
metricDefinition_regex :: Lens' MetricDefinition Text
data MetricsSource = MetricsSource' {
- contentDigest :: Maybe Text
- contentType :: Text
- s3Uri :: Text
}
newMetricsSource :: Text -> Text -> MetricsSource
metricsSource_contentDigest :: Lens' MetricsSource (Maybe Text)
metricsSource_contentType :: Lens' MetricsSource Text
metricsSource_s3Uri :: Lens' MetricsSource Text
data ModelArtifacts = ModelArtifacts' {
- s3ModelArtifacts :: Text
}
newModelArtifacts :: Text -> ModelArtifacts
modelArtifacts_s3ModelArtifacts :: Lens' ModelArtifacts Text
data ModelBiasAppSpecification = ModelBiasAppSpecification' {
- environment :: Maybe (HashMap Text Text)
- imageUri :: Text
- configUri :: Text
}
newModelBiasAppSpecification :: Text -> Text -> ModelBiasAppSpecification
modelBiasAppSpecification_environment :: Lens' ModelBiasAppSpecification (Maybe (HashMap Text Text))
modelBiasAppSpecification_imageUri :: Lens' ModelBiasAppSpecification Text
modelBiasAppSpecification_configUri :: Lens' ModelBiasAppSpecification Text
data ModelBiasBaselineConfig = ModelBiasBaselineConfig' {
- constraintsResource :: Maybe MonitoringConstraintsResource
- baseliningJobName :: Maybe Text
}
newModelBiasBaselineConfig :: ModelBiasBaselineConfig
modelBiasBaselineConfig_constraintsResource :: Lens' ModelBiasBaselineConfig (Maybe MonitoringConstraintsResource)
modelBiasBaselineConfig_baseliningJobName :: Lens' ModelBiasBaselineConfig (Maybe Text)
data ModelBiasJobInput = ModelBiasJobInput' {
- endpointInput :: EndpointInput
- groundTruthS3Input :: MonitoringGroundTruthS3Input
}
newModelBiasJobInput :: EndpointInput -> MonitoringGroundTruthS3Input -> ModelBiasJobInput
modelBiasJobInput_endpointInput :: Lens' ModelBiasJobInput EndpointInput
modelBiasJobInput_groundTruthS3Input :: Lens' ModelBiasJobInput MonitoringGroundTruthS3Input
data ModelClientConfig = ModelClientConfig' {
- invocationsTimeoutInSeconds :: Maybe Natural
- invocationsMaxRetries :: Maybe Natural
}
newModelClientConfig :: ModelClientConfig
modelClientConfig_invocationsTimeoutInSeconds :: Lens' ModelClientConfig (Maybe Natural)
modelClientConfig_invocationsMaxRetries :: Lens' ModelClientConfig (Maybe Natural)
data ModelDataQuality = ModelDataQuality' {
- constraints :: Maybe MetricsSource
- statistics :: Maybe MetricsSource
}
newModelDataQuality :: ModelDataQuality
modelDataQuality_constraints :: Lens' ModelDataQuality (Maybe MetricsSource)
modelDataQuality_statistics :: Lens' ModelDataQuality (Maybe MetricsSource)
data ModelDeployConfig = ModelDeployConfig' {
- endpointName :: Maybe Text
- autoGenerateEndpointName :: Maybe Bool
}
newModelDeployConfig :: ModelDeployConfig
modelDeployConfig_endpointName :: Lens' ModelDeployConfig (Maybe Text)
modelDeployConfig_autoGenerateEndpointName :: Lens' ModelDeployConfig (Maybe Bool)
data ModelDeployResult = ModelDeployResult' {
- endpointName :: Maybe Text
}
newModelDeployResult :: ModelDeployResult
modelDeployResult_endpointName :: Lens' ModelDeployResult (Maybe Text)
data ModelDigests = ModelDigests' {
- artifactDigest :: Maybe Text
}
newModelDigests :: ModelDigests
modelDigests_artifactDigest :: Lens' ModelDigests (Maybe Text)
data ModelExplainabilityAppSpecification = ModelExplainabilityAppSpecification' {
- environment :: Maybe (HashMap Text Text)
- imageUri :: Text
- configUri :: Text
}
newModelExplainabilityAppSpecification :: Text -> Text -> ModelExplainabilityAppSpecification
modelExplainabilityAppSpecification_environment :: Lens' ModelExplainabilityAppSpecification (Maybe (HashMap Text Text))
modelExplainabilityAppSpecification_imageUri :: Lens' ModelExplainabilityAppSpecification Text
modelExplainabilityAppSpecification_configUri :: Lens' ModelExplainabilityAppSpecification Text
data ModelExplainabilityBaselineConfig = ModelExplainabilityBaselineConfig' {
- constraintsResource :: Maybe MonitoringConstraintsResource
- baseliningJobName :: Maybe Text
}
newModelExplainabilityBaselineConfig :: ModelExplainabilityBaselineConfig
modelExplainabilityBaselineConfig_constraintsResource :: Lens' ModelExplainabilityBaselineConfig (Maybe MonitoringConstraintsResource)
modelExplainabilityBaselineConfig_baseliningJobName :: Lens' ModelExplainabilityBaselineConfig (Maybe Text)
data ModelExplainabilityJobInput = ModelExplainabilityJobInput' {
- endpointInput :: EndpointInput
}
newModelExplainabilityJobInput :: EndpointInput -> ModelExplainabilityJobInput
modelExplainabilityJobInput_endpointInput :: Lens' ModelExplainabilityJobInput EndpointInput
data ModelMetrics = ModelMetrics' {
- bias :: Maybe Bias
- modelDataQuality :: Maybe ModelDataQuality
- modelQuality :: Maybe ModelQuality
- explainability :: Maybe Explainability
}
newModelMetrics :: ModelMetrics
modelMetrics_bias :: Lens' ModelMetrics (Maybe Bias)
modelMetrics_modelDataQuality :: Lens' ModelMetrics (Maybe ModelDataQuality)
modelMetrics_modelQuality :: Lens' ModelMetrics (Maybe ModelQuality)
modelMetrics_explainability :: Lens' ModelMetrics (Maybe Explainability)
data ModelPackage = ModelPackage' {
- creationTime :: Maybe POSIX
- metadataProperties :: Maybe MetadataProperties
- modelApprovalStatus :: Maybe ModelApprovalStatus
- sourceAlgorithmSpecification :: Maybe SourceAlgorithmSpecification
- modelPackageName :: Maybe Text
- modelPackageArn :: Maybe Text
- modelMetrics :: Maybe ModelMetrics
- modelPackageDescription :: Maybe Text
- createdBy :: Maybe UserContext
- lastModifiedTime :: Maybe POSIX
- validationSpecification :: Maybe ModelPackageValidationSpecification
- inferenceSpecification :: Maybe InferenceSpecification
- approvalDescription :: Maybe Text
- modelPackageVersion :: Maybe Natural
- certifyForMarketplace :: Maybe Bool
- modelPackageGroupName :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- modelPackageStatusDetails :: Maybe ModelPackageStatusDetails
- tags :: Maybe [Tag]
- modelPackageStatus :: Maybe ModelPackageStatus
}
newModelPackage :: ModelPackage
modelPackage_creationTime :: Lens' ModelPackage (Maybe UTCTime)
modelPackage_metadataProperties :: Lens' ModelPackage (Maybe MetadataProperties)
modelPackage_modelApprovalStatus :: Lens' ModelPackage (Maybe ModelApprovalStatus)
modelPackage_sourceAlgorithmSpecification :: Lens' ModelPackage (Maybe SourceAlgorithmSpecification)
modelPackage_modelPackageName :: Lens' ModelPackage (Maybe Text)
modelPackage_modelPackageArn :: Lens' ModelPackage (Maybe Text)
modelPackage_modelMetrics :: Lens' ModelPackage (Maybe ModelMetrics)
modelPackage_modelPackageDescription :: Lens' ModelPackage (Maybe Text)
modelPackage_createdBy :: Lens' ModelPackage (Maybe UserContext)
modelPackage_lastModifiedTime :: Lens' ModelPackage (Maybe UTCTime)
modelPackage_validationSpecification :: Lens' ModelPackage (Maybe ModelPackageValidationSpecification)
modelPackage_inferenceSpecification :: Lens' ModelPackage (Maybe InferenceSpecification)
modelPackage_approvalDescription :: Lens' ModelPackage (Maybe Text)
modelPackage_modelPackageVersion :: Lens' ModelPackage (Maybe Natural)
modelPackage_certifyForMarketplace :: Lens' ModelPackage (Maybe Bool)
modelPackage_modelPackageGroupName :: Lens' ModelPackage (Maybe Text)
modelPackage_lastModifiedBy :: Lens' ModelPackage (Maybe UserContext)
modelPackage_modelPackageStatusDetails :: Lens' ModelPackage (Maybe ModelPackageStatusDetails)
modelPackage_tags :: Lens' ModelPackage (Maybe [Tag])
modelPackage_modelPackageStatus :: Lens' ModelPackage (Maybe ModelPackageStatus)
data ModelPackageContainerDefinition = ModelPackageContainerDefinition' {
- modelDataUrl :: Maybe Text
- environment :: Maybe (HashMap Text Text)
- imageDigest :: Maybe Text
- containerHostname :: Maybe Text
- productId :: Maybe Text
- image :: Text
}
newModelPackageContainerDefinition :: Text -> ModelPackageContainerDefinition
modelPackageContainerDefinition_modelDataUrl :: Lens' ModelPackageContainerDefinition (Maybe Text)
modelPackageContainerDefinition_environment :: Lens' ModelPackageContainerDefinition (Maybe (HashMap Text Text))
modelPackageContainerDefinition_imageDigest :: Lens' ModelPackageContainerDefinition (Maybe Text)
modelPackageContainerDefinition_containerHostname :: Lens' ModelPackageContainerDefinition (Maybe Text)
modelPackageContainerDefinition_productId :: Lens' ModelPackageContainerDefinition (Maybe Text)
modelPackageContainerDefinition_image :: Lens' ModelPackageContainerDefinition Text
data ModelPackageGroup = ModelPackageGroup' {
- creationTime :: Maybe POSIX
- modelPackageGroupDescription :: Maybe Text
- modelPackageGroupArn :: Maybe Text
- createdBy :: Maybe UserContext
- modelPackageGroupName :: Maybe Text
- modelPackageGroupStatus :: Maybe ModelPackageGroupStatus
- tags :: Maybe [Tag]
}
newModelPackageGroup :: ModelPackageGroup
modelPackageGroup_creationTime :: Lens' ModelPackageGroup (Maybe UTCTime)
modelPackageGroup_modelPackageGroupDescription :: Lens' ModelPackageGroup (Maybe Text)
modelPackageGroup_modelPackageGroupArn :: Lens' ModelPackageGroup (Maybe Text)
modelPackageGroup_createdBy :: Lens' ModelPackageGroup (Maybe UserContext)
modelPackageGroup_modelPackageGroupName :: Lens' ModelPackageGroup (Maybe Text)
modelPackageGroup_modelPackageGroupStatus :: Lens' ModelPackageGroup (Maybe ModelPackageGroupStatus)
modelPackageGroup_tags :: Lens' ModelPackageGroup (Maybe [Tag])
data ModelPackageGroupSummary = ModelPackageGroupSummary' {
- modelPackageGroupDescription :: Maybe Text
- modelPackageGroupName :: Text
- modelPackageGroupArn :: Text
- creationTime :: POSIX
- modelPackageGroupStatus :: ModelPackageGroupStatus
}
newModelPackageGroupSummary :: Text -> Text -> UTCTime -> ModelPackageGroupStatus -> ModelPackageGroupSummary
modelPackageGroupSummary_modelPackageGroupDescription :: Lens' ModelPackageGroupSummary (Maybe Text)
modelPackageGroupSummary_modelPackageGroupName :: Lens' ModelPackageGroupSummary Text
modelPackageGroupSummary_modelPackageGroupArn :: Lens' ModelPackageGroupSummary Text
modelPackageGroupSummary_creationTime :: Lens' ModelPackageGroupSummary UTCTime
modelPackageGroupSummary_modelPackageGroupStatus :: Lens' ModelPackageGroupSummary ModelPackageGroupStatus
data ModelPackageStatusDetails = ModelPackageStatusDetails' {
- imageScanStatuses :: Maybe [ModelPackageStatusItem]
- validationStatuses :: [ModelPackageStatusItem]
}
newModelPackageStatusDetails :: ModelPackageStatusDetails
modelPackageStatusDetails_imageScanStatuses :: Lens' ModelPackageStatusDetails (Maybe [ModelPackageStatusItem])
modelPackageStatusDetails_validationStatuses :: Lens' ModelPackageStatusDetails [ModelPackageStatusItem]
data ModelPackageStatusItem = ModelPackageStatusItem' {
- failureReason :: Maybe Text
- name :: Text
- status :: DetailedModelPackageStatus
}
newModelPackageStatusItem :: Text -> DetailedModelPackageStatus -> ModelPackageStatusItem
modelPackageStatusItem_failureReason :: Lens' ModelPackageStatusItem (Maybe Text)
modelPackageStatusItem_name :: Lens' ModelPackageStatusItem Text
modelPackageStatusItem_status :: Lens' ModelPackageStatusItem DetailedModelPackageStatus
data ModelPackageSummary = ModelPackageSummary' {
- modelApprovalStatus :: Maybe ModelApprovalStatus
- modelPackageDescription :: Maybe Text
- modelPackageVersion :: Maybe Natural
- modelPackageGroupName :: Maybe Text
- modelPackageName :: Text
- modelPackageArn :: Text
- creationTime :: POSIX
- modelPackageStatus :: ModelPackageStatus
}
newModelPackageSummary :: Text -> Text -> UTCTime -> ModelPackageStatus -> ModelPackageSummary
modelPackageSummary_modelApprovalStatus :: Lens' ModelPackageSummary (Maybe ModelApprovalStatus)
modelPackageSummary_modelPackageDescription :: Lens' ModelPackageSummary (Maybe Text)
modelPackageSummary_modelPackageVersion :: Lens' ModelPackageSummary (Maybe Natural)
modelPackageSummary_modelPackageGroupName :: Lens' ModelPackageSummary (Maybe Text)
modelPackageSummary_modelPackageName :: Lens' ModelPackageSummary Text
modelPackageSummary_modelPackageArn :: Lens' ModelPackageSummary Text
modelPackageSummary_creationTime :: Lens' ModelPackageSummary UTCTime
modelPackageSummary_modelPackageStatus :: Lens' ModelPackageSummary ModelPackageStatus
data ModelPackageValidationProfile = ModelPackageValidationProfile' {
- profileName :: Text
- transformJobDefinition :: TransformJobDefinition
}
newModelPackageValidationProfile :: Text -> TransformJobDefinition -> ModelPackageValidationProfile
modelPackageValidationProfile_profileName :: Lens' ModelPackageValidationProfile Text
modelPackageValidationProfile_transformJobDefinition :: Lens' ModelPackageValidationProfile TransformJobDefinition
data ModelPackageValidationSpecification = ModelPackageValidationSpecification' {
- validationRole :: Text
- validationProfiles :: NonEmpty ModelPackageValidationProfile
}
newModelPackageValidationSpecification :: Text -> NonEmpty ModelPackageValidationProfile -> ModelPackageValidationSpecification
modelPackageValidationSpecification_validationRole :: Lens' ModelPackageValidationSpecification Text
modelPackageValidationSpecification_validationProfiles :: Lens' ModelPackageValidationSpecification (NonEmpty ModelPackageValidationProfile)
data ModelQuality = ModelQuality' {
- constraints :: Maybe MetricsSource
- statistics :: Maybe MetricsSource
}
newModelQuality :: ModelQuality
modelQuality_constraints :: Lens' ModelQuality (Maybe MetricsSource)
modelQuality_statistics :: Lens' ModelQuality (Maybe MetricsSource)
data ModelQualityAppSpecification = ModelQualityAppSpecification' {
- containerArguments :: Maybe (NonEmpty Text)
- recordPreprocessorSourceUri :: Maybe Text
- environment :: Maybe (HashMap Text Text)
- problemType :: Maybe MonitoringProblemType
- containerEntrypoint :: Maybe (NonEmpty Text)
- postAnalyticsProcessorSourceUri :: Maybe Text
- imageUri :: Text
}
newModelQualityAppSpecification :: Text -> ModelQualityAppSpecification
modelQualityAppSpecification_containerArguments :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text))
modelQualityAppSpecification_recordPreprocessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text)
modelQualityAppSpecification_environment :: Lens' ModelQualityAppSpecification (Maybe (HashMap Text Text))
modelQualityAppSpecification_problemType :: Lens' ModelQualityAppSpecification (Maybe MonitoringProblemType)
modelQualityAppSpecification_containerEntrypoint :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text))
modelQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text)
modelQualityAppSpecification_imageUri :: Lens' ModelQualityAppSpecification Text
data ModelQualityBaselineConfig = ModelQualityBaselineConfig' {
- constraintsResource :: Maybe MonitoringConstraintsResource
- baseliningJobName :: Maybe Text
}
newModelQualityBaselineConfig :: ModelQualityBaselineConfig
modelQualityBaselineConfig_constraintsResource :: Lens' ModelQualityBaselineConfig (Maybe MonitoringConstraintsResource)
modelQualityBaselineConfig_baseliningJobName :: Lens' ModelQualityBaselineConfig (Maybe Text)
data ModelQualityJobInput = ModelQualityJobInput' {
- endpointInput :: EndpointInput
- groundTruthS3Input :: MonitoringGroundTruthS3Input
}
newModelQualityJobInput :: EndpointInput -> MonitoringGroundTruthS3Input -> ModelQualityJobInput
modelQualityJobInput_endpointInput :: Lens' ModelQualityJobInput EndpointInput
modelQualityJobInput_groundTruthS3Input :: Lens' ModelQualityJobInput MonitoringGroundTruthS3Input
data ModelStepMetadata = ModelStepMetadata' {
- arn :: Maybe Text
}
newModelStepMetadata :: ModelStepMetadata
modelStepMetadata_arn :: Lens' ModelStepMetadata (Maybe Text)
data ModelSummary = ModelSummary' {
- modelName :: Text
- modelArn :: Text
- creationTime :: POSIX
}
newModelSummary :: Text -> Text -> UTCTime -> ModelSummary
modelSummary_modelName :: Lens' ModelSummary Text
modelSummary_modelArn :: Lens' ModelSummary Text
modelSummary_creationTime :: Lens' ModelSummary UTCTime
data MonitoringAppSpecification = MonitoringAppSpecification' {
- containerArguments :: Maybe (NonEmpty Text)
- recordPreprocessorSourceUri :: Maybe Text
- containerEntrypoint :: Maybe (NonEmpty Text)
- postAnalyticsProcessorSourceUri :: Maybe Text
- imageUri :: Text
}
newMonitoringAppSpecification :: Text -> MonitoringAppSpecification
monitoringAppSpecification_containerArguments :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text))
monitoringAppSpecification_recordPreprocessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text)
monitoringAppSpecification_containerEntrypoint :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text))
monitoringAppSpecification_postAnalyticsProcessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text)
monitoringAppSpecification_imageUri :: Lens' MonitoringAppSpecification Text
data MonitoringBaselineConfig = MonitoringBaselineConfig' {
- constraintsResource :: Maybe MonitoringConstraintsResource
- statisticsResource :: Maybe MonitoringStatisticsResource
- baseliningJobName :: Maybe Text
}
newMonitoringBaselineConfig :: MonitoringBaselineConfig
monitoringBaselineConfig_constraintsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringConstraintsResource)
monitoringBaselineConfig_statisticsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringStatisticsResource)
monitoringBaselineConfig_baseliningJobName :: Lens' MonitoringBaselineConfig (Maybe Text)
data MonitoringClusterConfig = MonitoringClusterConfig' {
- volumeKmsKeyId :: Maybe Text
- instanceCount :: Natural
- instanceType :: ProcessingInstanceType
- volumeSizeInGB :: Natural
}
newMonitoringClusterConfig :: Natural -> ProcessingInstanceType -> Natural -> MonitoringClusterConfig
monitoringClusterConfig_volumeKmsKeyId :: Lens' MonitoringClusterConfig (Maybe Text)
monitoringClusterConfig_instanceCount :: Lens' MonitoringClusterConfig Natural
monitoringClusterConfig_instanceType :: Lens' MonitoringClusterConfig ProcessingInstanceType
monitoringClusterConfig_volumeSizeInGB :: Lens' MonitoringClusterConfig Natural
data MonitoringConstraintsResource = MonitoringConstraintsResource' {
- s3Uri :: Maybe Text
}
newMonitoringConstraintsResource :: MonitoringConstraintsResource
monitoringConstraintsResource_s3Uri :: Lens' MonitoringConstraintsResource (Maybe Text)
data MonitoringExecutionSummary = MonitoringExecutionSummary' {
- monitoringType :: Maybe MonitoringType
- failureReason :: Maybe Text
- endpointName :: Maybe Text
- processingJobArn :: Maybe Text
- monitoringJobDefinitionName :: Maybe Text
- monitoringScheduleName :: Text
- scheduledTime :: POSIX
- creationTime :: POSIX
- lastModifiedTime :: POSIX
- monitoringExecutionStatus :: ExecutionStatus
}
newMonitoringExecutionSummary :: Text -> UTCTime -> UTCTime -> UTCTime -> ExecutionStatus -> MonitoringExecutionSummary
monitoringExecutionSummary_monitoringType :: Lens' MonitoringExecutionSummary (Maybe MonitoringType)
monitoringExecutionSummary_failureReason :: Lens' MonitoringExecutionSummary (Maybe Text)
monitoringExecutionSummary_endpointName :: Lens' MonitoringExecutionSummary (Maybe Text)
monitoringExecutionSummary_processingJobArn :: Lens' MonitoringExecutionSummary (Maybe Text)
monitoringExecutionSummary_monitoringJobDefinitionName :: Lens' MonitoringExecutionSummary (Maybe Text)
monitoringExecutionSummary_monitoringScheduleName :: Lens' MonitoringExecutionSummary Text
monitoringExecutionSummary_scheduledTime :: Lens' MonitoringExecutionSummary UTCTime
monitoringExecutionSummary_creationTime :: Lens' MonitoringExecutionSummary UTCTime
monitoringExecutionSummary_lastModifiedTime :: Lens' MonitoringExecutionSummary UTCTime
monitoringExecutionSummary_monitoringExecutionStatus :: Lens' MonitoringExecutionSummary ExecutionStatus
data MonitoringGroundTruthS3Input = MonitoringGroundTruthS3Input' {
- s3Uri :: Maybe Text
}
newMonitoringGroundTruthS3Input :: MonitoringGroundTruthS3Input
monitoringGroundTruthS3Input_s3Uri :: Lens' MonitoringGroundTruthS3Input (Maybe Text)
data MonitoringInput = MonitoringInput' {
- endpointInput :: EndpointInput
}
newMonitoringInput :: EndpointInput -> MonitoringInput
monitoringInput_endpointInput :: Lens' MonitoringInput EndpointInput
data MonitoringJobDefinition = MonitoringJobDefinition' {
- environment :: Maybe (HashMap Text Text)
- stoppingCondition :: Maybe MonitoringStoppingCondition
- networkConfig :: Maybe NetworkConfig
- baselineConfig :: Maybe MonitoringBaselineConfig
- monitoringInputs :: NonEmpty MonitoringInput
- monitoringOutputConfig :: MonitoringOutputConfig
- monitoringResources :: MonitoringResources
- monitoringAppSpecification :: MonitoringAppSpecification
- roleArn :: Text
}
newMonitoringJobDefinition :: NonEmpty MonitoringInput -> MonitoringOutputConfig -> MonitoringResources -> MonitoringAppSpecification -> Text -> MonitoringJobDefinition
monitoringJobDefinition_environment :: Lens' MonitoringJobDefinition (Maybe (HashMap Text Text))
monitoringJobDefinition_stoppingCondition :: Lens' MonitoringJobDefinition (Maybe MonitoringStoppingCondition)
monitoringJobDefinition_networkConfig :: Lens' MonitoringJobDefinition (Maybe NetworkConfig)
monitoringJobDefinition_baselineConfig :: Lens' MonitoringJobDefinition (Maybe MonitoringBaselineConfig)
monitoringJobDefinition_monitoringInputs :: Lens' MonitoringJobDefinition (NonEmpty MonitoringInput)
monitoringJobDefinition_monitoringOutputConfig :: Lens' MonitoringJobDefinition MonitoringOutputConfig
monitoringJobDefinition_monitoringResources :: Lens' MonitoringJobDefinition MonitoringResources
monitoringJobDefinition_monitoringAppSpecification :: Lens' MonitoringJobDefinition MonitoringAppSpecification
monitoringJobDefinition_roleArn :: Lens' MonitoringJobDefinition Text
data MonitoringJobDefinitionSummary = MonitoringJobDefinitionSummary' {
- monitoringJobDefinitionName :: Text
- monitoringJobDefinitionArn :: Text
- creationTime :: POSIX
- endpointName :: Text
}
newMonitoringJobDefinitionSummary :: Text -> Text -> UTCTime -> Text -> MonitoringJobDefinitionSummary
monitoringJobDefinitionSummary_monitoringJobDefinitionName :: Lens' MonitoringJobDefinitionSummary Text
monitoringJobDefinitionSummary_monitoringJobDefinitionArn :: Lens' MonitoringJobDefinitionSummary Text
monitoringJobDefinitionSummary_creationTime :: Lens' MonitoringJobDefinitionSummary UTCTime
monitoringJobDefinitionSummary_endpointName :: Lens' MonitoringJobDefinitionSummary Text
data MonitoringNetworkConfig = MonitoringNetworkConfig' {
- enableNetworkIsolation :: Maybe Bool
- vpcConfig :: Maybe VpcConfig
- enableInterContainerTrafficEncryption :: Maybe Bool
}
newMonitoringNetworkConfig :: MonitoringNetworkConfig
monitoringNetworkConfig_enableNetworkIsolation :: Lens' MonitoringNetworkConfig (Maybe Bool)
monitoringNetworkConfig_vpcConfig :: Lens' MonitoringNetworkConfig (Maybe VpcConfig)
monitoringNetworkConfig_enableInterContainerTrafficEncryption :: Lens' MonitoringNetworkConfig (Maybe Bool)
data MonitoringOutput = MonitoringOutput' {
- s3Output :: MonitoringS3Output
}
newMonitoringOutput :: MonitoringS3Output -> MonitoringOutput
monitoringOutput_s3Output :: Lens' MonitoringOutput MonitoringS3Output
data MonitoringOutputConfig = MonitoringOutputConfig' {
- kmsKeyId :: Maybe Text
- monitoringOutputs :: NonEmpty MonitoringOutput
}
newMonitoringOutputConfig :: NonEmpty MonitoringOutput -> MonitoringOutputConfig
monitoringOutputConfig_kmsKeyId :: Lens' MonitoringOutputConfig (Maybe Text)
monitoringOutputConfig_monitoringOutputs :: Lens' MonitoringOutputConfig (NonEmpty MonitoringOutput)
data MonitoringResources = MonitoringResources' {
- clusterConfig :: MonitoringClusterConfig
}
newMonitoringResources :: MonitoringClusterConfig -> MonitoringResources
monitoringResources_clusterConfig :: Lens' MonitoringResources MonitoringClusterConfig
data MonitoringS3Output = MonitoringS3Output' {
- s3UploadMode :: Maybe ProcessingS3UploadMode
- s3Uri :: Text
- localPath :: Text
}
newMonitoringS3Output :: Text -> Text -> MonitoringS3Output
monitoringS3Output_s3UploadMode :: Lens' MonitoringS3Output (Maybe ProcessingS3UploadMode)
monitoringS3Output_s3Uri :: Lens' MonitoringS3Output Text
monitoringS3Output_localPath :: Lens' MonitoringS3Output Text
data MonitoringSchedule = MonitoringSchedule' {
- creationTime :: Maybe POSIX
- monitoringType :: Maybe MonitoringType
- failureReason :: Maybe Text
- monitoringScheduleArn :: Maybe Text
- endpointName :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- monitoringScheduleStatus :: Maybe ScheduleStatus
- lastMonitoringExecutionSummary :: Maybe MonitoringExecutionSummary
- monitoringScheduleConfig :: Maybe MonitoringScheduleConfig
- monitoringScheduleName :: Maybe Text
- tags :: Maybe [Tag]
}
newMonitoringSchedule :: MonitoringSchedule
monitoringSchedule_creationTime :: Lens' MonitoringSchedule (Maybe UTCTime)
monitoringSchedule_monitoringType :: Lens' MonitoringSchedule (Maybe MonitoringType)
monitoringSchedule_failureReason :: Lens' MonitoringSchedule (Maybe Text)
monitoringSchedule_monitoringScheduleArn :: Lens' MonitoringSchedule (Maybe Text)
monitoringSchedule_endpointName :: Lens' MonitoringSchedule (Maybe Text)
monitoringSchedule_lastModifiedTime :: Lens' MonitoringSchedule (Maybe UTCTime)
monitoringSchedule_monitoringScheduleStatus :: Lens' MonitoringSchedule (Maybe ScheduleStatus)
monitoringSchedule_lastMonitoringExecutionSummary :: Lens' MonitoringSchedule (Maybe MonitoringExecutionSummary)
monitoringSchedule_monitoringScheduleConfig :: Lens' MonitoringSchedule (Maybe MonitoringScheduleConfig)
monitoringSchedule_monitoringScheduleName :: Lens' MonitoringSchedule (Maybe Text)
monitoringSchedule_tags :: Lens' MonitoringSchedule (Maybe [Tag])
data MonitoringScheduleConfig = MonitoringScheduleConfig' {
- monitoringType :: Maybe MonitoringType
- scheduleConfig :: Maybe ScheduleConfig
- monitoringJobDefinition :: Maybe MonitoringJobDefinition
- monitoringJobDefinitionName :: Maybe Text
}
newMonitoringScheduleConfig :: MonitoringScheduleConfig
monitoringScheduleConfig_monitoringType :: Lens' MonitoringScheduleConfig (Maybe MonitoringType)
monitoringScheduleConfig_scheduleConfig :: Lens' MonitoringScheduleConfig (Maybe ScheduleConfig)
monitoringScheduleConfig_monitoringJobDefinition :: Lens' MonitoringScheduleConfig (Maybe MonitoringJobDefinition)
monitoringScheduleConfig_monitoringJobDefinitionName :: Lens' MonitoringScheduleConfig (Maybe Text)
data MonitoringScheduleSummary = MonitoringScheduleSummary' {
- monitoringType :: Maybe MonitoringType
- endpointName :: Maybe Text
- monitoringJobDefinitionName :: Maybe Text
- monitoringScheduleName :: Text
- monitoringScheduleArn :: Text
- creationTime :: POSIX
- lastModifiedTime :: POSIX
- monitoringScheduleStatus :: ScheduleStatus
}
newMonitoringScheduleSummary :: Text -> Text -> UTCTime -> UTCTime -> ScheduleStatus -> MonitoringScheduleSummary
monitoringScheduleSummary_monitoringType :: Lens' MonitoringScheduleSummary (Maybe MonitoringType)
monitoringScheduleSummary_endpointName :: Lens' MonitoringScheduleSummary (Maybe Text)
monitoringScheduleSummary_monitoringJobDefinitionName :: Lens' MonitoringScheduleSummary (Maybe Text)
monitoringScheduleSummary_monitoringScheduleName :: Lens' MonitoringScheduleSummary Text
monitoringScheduleSummary_monitoringScheduleArn :: Lens' MonitoringScheduleSummary Text
monitoringScheduleSummary_creationTime :: Lens' MonitoringScheduleSummary UTCTime
monitoringScheduleSummary_lastModifiedTime :: Lens' MonitoringScheduleSummary UTCTime
monitoringScheduleSummary_monitoringScheduleStatus :: Lens' MonitoringScheduleSummary ScheduleStatus
data MonitoringStatisticsResource = MonitoringStatisticsResource' {
- s3Uri :: Maybe Text
}
newMonitoringStatisticsResource :: MonitoringStatisticsResource
monitoringStatisticsResource_s3Uri :: Lens' MonitoringStatisticsResource (Maybe Text)
data MonitoringStoppingCondition = MonitoringStoppingCondition' {
- maxRuntimeInSeconds :: Natural
}
newMonitoringStoppingCondition :: Natural -> MonitoringStoppingCondition
monitoringStoppingCondition_maxRuntimeInSeconds :: Lens' MonitoringStoppingCondition Natural
data MultiModelConfig = MultiModelConfig' {
- modelCacheSetting :: Maybe ModelCacheSetting
}
newMultiModelConfig :: MultiModelConfig
multiModelConfig_modelCacheSetting :: Lens' MultiModelConfig (Maybe ModelCacheSetting)
data NeoVpcConfig = NeoVpcConfig' {
- securityGroupIds :: NonEmpty Text
- subnets :: NonEmpty Text
}
newNeoVpcConfig :: NonEmpty Text -> NonEmpty Text -> NeoVpcConfig
neoVpcConfig_securityGroupIds :: Lens' NeoVpcConfig (NonEmpty Text)
neoVpcConfig_subnets :: Lens' NeoVpcConfig (NonEmpty Text)
data NestedFilters = NestedFilters' {
- nestedPropertyName :: Text
- filters :: NonEmpty Filter
}
newNestedFilters :: Text -> NonEmpty Filter -> NestedFilters
nestedFilters_nestedPropertyName :: Lens' NestedFilters Text
nestedFilters_filters :: Lens' NestedFilters (NonEmpty Filter)
data NetworkConfig = NetworkConfig' {
- enableNetworkIsolation :: Maybe Bool
- vpcConfig :: Maybe VpcConfig
- enableInterContainerTrafficEncryption :: Maybe Bool
}
newNetworkConfig :: NetworkConfig
networkConfig_enableNetworkIsolation :: Lens' NetworkConfig (Maybe Bool)
networkConfig_vpcConfig :: Lens' NetworkConfig (Maybe VpcConfig)
networkConfig_enableInterContainerTrafficEncryption :: Lens' NetworkConfig (Maybe Bool)
data NotebookInstanceLifecycleConfigSummary = NotebookInstanceLifecycleConfigSummary' {
- creationTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- notebookInstanceLifecycleConfigName :: Text
- notebookInstanceLifecycleConfigArn :: Text
}
newNotebookInstanceLifecycleConfigSummary :: Text -> Text -> NotebookInstanceLifecycleConfigSummary
notebookInstanceLifecycleConfigSummary_creationTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime)
notebookInstanceLifecycleConfigSummary_lastModifiedTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime)
notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceLifecycleConfigSummary Text
notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn :: Lens' NotebookInstanceLifecycleConfigSummary Text
data NotebookInstanceLifecycleHook = NotebookInstanceLifecycleHook' {
- content :: Maybe Text
}
newNotebookInstanceLifecycleHook :: NotebookInstanceLifecycleHook
notebookInstanceLifecycleHook_content :: Lens' NotebookInstanceLifecycleHook (Maybe Text)
data NotebookInstanceSummary = NotebookInstanceSummary' {
- creationTime :: Maybe POSIX
- additionalCodeRepositories :: Maybe [Text]
- url :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- instanceType :: Maybe InstanceType
- notebookInstanceStatus :: Maybe NotebookInstanceStatus
- defaultCodeRepository :: Maybe Text
- notebookInstanceLifecycleConfigName :: Maybe Text
- notebookInstanceName :: Text
- notebookInstanceArn :: Text
}
newNotebookInstanceSummary :: Text -> Text -> NotebookInstanceSummary
notebookInstanceSummary_creationTime :: Lens' NotebookInstanceSummary (Maybe UTCTime)
notebookInstanceSummary_additionalCodeRepositories :: Lens' NotebookInstanceSummary (Maybe [Text])
notebookInstanceSummary_url :: Lens' NotebookInstanceSummary (Maybe Text)
notebookInstanceSummary_lastModifiedTime :: Lens' NotebookInstanceSummary (Maybe UTCTime)
notebookInstanceSummary_instanceType :: Lens' NotebookInstanceSummary (Maybe InstanceType)
notebookInstanceSummary_notebookInstanceStatus :: Lens' NotebookInstanceSummary (Maybe NotebookInstanceStatus)
notebookInstanceSummary_defaultCodeRepository :: Lens' NotebookInstanceSummary (Maybe Text)
notebookInstanceSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceSummary (Maybe Text)
notebookInstanceSummary_notebookInstanceName :: Lens' NotebookInstanceSummary Text
notebookInstanceSummary_notebookInstanceArn :: Lens' NotebookInstanceSummary Text
data NotificationConfiguration = NotificationConfiguration' {
- notificationTopicArn :: Maybe Text
}
newNotificationConfiguration :: NotificationConfiguration
notificationConfiguration_notificationTopicArn :: Lens' NotificationConfiguration (Maybe Text)
data ObjectiveStatusCounters = ObjectiveStatusCounters' {
- pending :: Maybe Natural
- succeeded :: Maybe Natural
- failed :: Maybe Natural
}
newObjectiveStatusCounters :: ObjectiveStatusCounters
objectiveStatusCounters_pending :: Lens' ObjectiveStatusCounters (Maybe Natural)
objectiveStatusCounters_succeeded :: Lens' ObjectiveStatusCounters (Maybe Natural)
objectiveStatusCounters_failed :: Lens' ObjectiveStatusCounters (Maybe Natural)
data OfflineStoreConfig = OfflineStoreConfig' {
- disableGlueTableCreation :: Maybe Bool
- dataCatalogConfig :: Maybe DataCatalogConfig
- s3StorageConfig :: S3StorageConfig
}
newOfflineStoreConfig :: S3StorageConfig -> OfflineStoreConfig
offlineStoreConfig_disableGlueTableCreation :: Lens' OfflineStoreConfig (Maybe Bool)
offlineStoreConfig_dataCatalogConfig :: Lens' OfflineStoreConfig (Maybe DataCatalogConfig)
offlineStoreConfig_s3StorageConfig :: Lens' OfflineStoreConfig S3StorageConfig
data OfflineStoreStatus = OfflineStoreStatus' {
- blockedReason :: Maybe Text
- status :: OfflineStoreStatusValue
}
newOfflineStoreStatus :: OfflineStoreStatusValue -> OfflineStoreStatus
offlineStoreStatus_blockedReason :: Lens' OfflineStoreStatus (Maybe Text)
offlineStoreStatus_status :: Lens' OfflineStoreStatus OfflineStoreStatusValue
data OidcConfig = OidcConfig' {
- clientId :: Text
- clientSecret :: Sensitive Text
- issuer :: Text
- authorizationEndpoint :: Text
- tokenEndpoint :: Text
- userInfoEndpoint :: Text
- logoutEndpoint :: Text
- jwksUri :: Text
}
newOidcConfig :: Text -> Text -> Text -> Text -> Text -> Text -> Text -> Text -> OidcConfig
oidcConfig_clientId :: Lens' OidcConfig Text
oidcConfig_clientSecret :: Lens' OidcConfig Text
oidcConfig_issuer :: Lens' OidcConfig Text
oidcConfig_authorizationEndpoint :: Lens' OidcConfig Text
oidcConfig_tokenEndpoint :: Lens' OidcConfig Text
oidcConfig_userInfoEndpoint :: Lens' OidcConfig Text
oidcConfig_logoutEndpoint :: Lens' OidcConfig Text
oidcConfig_jwksUri :: Lens' OidcConfig Text
data OidcConfigForResponse = OidcConfigForResponse' {
- clientId :: Maybe Text
- jwksUri :: Maybe Text
- userInfoEndpoint :: Maybe Text
- authorizationEndpoint :: Maybe Text
- tokenEndpoint :: Maybe Text
- issuer :: Maybe Text
- logoutEndpoint :: Maybe Text
}
newOidcConfigForResponse :: OidcConfigForResponse
oidcConfigForResponse_clientId :: Lens' OidcConfigForResponse (Maybe Text)
oidcConfigForResponse_jwksUri :: Lens' OidcConfigForResponse (Maybe Text)
oidcConfigForResponse_userInfoEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
oidcConfigForResponse_authorizationEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
oidcConfigForResponse_tokenEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
oidcConfigForResponse_issuer :: Lens' OidcConfigForResponse (Maybe Text)
oidcConfigForResponse_logoutEndpoint :: Lens' OidcConfigForResponse (Maybe Text)
data OidcMemberDefinition = OidcMemberDefinition' {
- groups :: NonEmpty Text
}
newOidcMemberDefinition :: NonEmpty Text -> OidcMemberDefinition
oidcMemberDefinition_groups :: Lens' OidcMemberDefinition (NonEmpty Text)
data OnlineStoreConfig = OnlineStoreConfig' {
- securityConfig :: Maybe OnlineStoreSecurityConfig
- enableOnlineStore :: Maybe Bool
}
newOnlineStoreConfig :: OnlineStoreConfig
onlineStoreConfig_securityConfig :: Lens' OnlineStoreConfig (Maybe OnlineStoreSecurityConfig)
onlineStoreConfig_enableOnlineStore :: Lens' OnlineStoreConfig (Maybe Bool)
data OnlineStoreSecurityConfig = OnlineStoreSecurityConfig' {
- kmsKeyId :: Maybe Text
}
newOnlineStoreSecurityConfig :: OnlineStoreSecurityConfig
onlineStoreSecurityConfig_kmsKeyId :: Lens' OnlineStoreSecurityConfig (Maybe Text)
data OutputConfig = OutputConfig' {
- targetPlatform :: Maybe TargetPlatform
- kmsKeyId :: Maybe Text
- compilerOptions :: Maybe Text
- targetDevice :: Maybe TargetDevice
- s3OutputLocation :: Text
}
newOutputConfig :: Text -> OutputConfig
outputConfig_targetPlatform :: Lens' OutputConfig (Maybe TargetPlatform)
outputConfig_kmsKeyId :: Lens' OutputConfig (Maybe Text)
outputConfig_compilerOptions :: Lens' OutputConfig (Maybe Text)
outputConfig_targetDevice :: Lens' OutputConfig (Maybe TargetDevice)
outputConfig_s3OutputLocation :: Lens' OutputConfig Text
data OutputDataConfig = OutputDataConfig' {
- kmsKeyId :: Maybe Text
- s3OutputPath :: Text
}
newOutputDataConfig :: Text -> OutputDataConfig
outputDataConfig_kmsKeyId :: Lens' OutputDataConfig (Maybe Text)
outputDataConfig_s3OutputPath :: Lens' OutputDataConfig Text
data OutputParameter = OutputParameter' {
- name :: Text
- value :: Text
}
newOutputParameter :: Text -> Text -> OutputParameter
outputParameter_name :: Lens' OutputParameter Text
outputParameter_value :: Lens' OutputParameter Text
data Parameter = Parameter' {
- name :: Text
- value :: Text
}
newParameter :: Text -> Text -> Parameter
parameter_name :: Lens' Parameter Text
parameter_value :: Lens' Parameter Text
data ParameterRange = ParameterRange' {
- categoricalParameterRangeSpecification :: Maybe CategoricalParameterRangeSpecification
- integerParameterRangeSpecification :: Maybe IntegerParameterRangeSpecification
- continuousParameterRangeSpecification :: Maybe ContinuousParameterRangeSpecification
}
newParameterRange :: ParameterRange
parameterRange_categoricalParameterRangeSpecification :: Lens' ParameterRange (Maybe CategoricalParameterRangeSpecification)
parameterRange_integerParameterRangeSpecification :: Lens' ParameterRange (Maybe IntegerParameterRangeSpecification)
parameterRange_continuousParameterRangeSpecification :: Lens' ParameterRange (Maybe ContinuousParameterRangeSpecification)
data ParameterRanges = ParameterRanges' {
- categoricalParameterRanges :: Maybe [CategoricalParameterRange]
- integerParameterRanges :: Maybe [IntegerParameterRange]
- continuousParameterRanges :: Maybe [ContinuousParameterRange]
}
newParameterRanges :: ParameterRanges
parameterRanges_categoricalParameterRanges :: Lens' ParameterRanges (Maybe [CategoricalParameterRange])
parameterRanges_integerParameterRanges :: Lens' ParameterRanges (Maybe [IntegerParameterRange])
parameterRanges_continuousParameterRanges :: Lens' ParameterRanges (Maybe [ContinuousParameterRange])
data Parent = Parent' {
- experimentName :: Maybe Text
- trialName :: Maybe Text
}
newParent :: Parent
parent_experimentName :: Lens' Parent (Maybe Text)
parent_trialName :: Lens' Parent (Maybe Text)
data ParentHyperParameterTuningJob = ParentHyperParameterTuningJob' {
- hyperParameterTuningJobName :: Maybe Text
}
newParentHyperParameterTuningJob :: ParentHyperParameterTuningJob
parentHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ParentHyperParameterTuningJob (Maybe Text)
data Pipeline = Pipeline' {
- creationTime :: Maybe POSIX
- pipelineDisplayName :: Maybe Text
- pipelineName :: Maybe Text
- createdBy :: Maybe UserContext
- lastRunTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- pipelineStatus :: Maybe PipelineStatus
- pipelineDescription :: Maybe Text
- pipelineArn :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- tags :: Maybe [Tag]
- roleArn :: Maybe Text
}
newPipeline :: Pipeline
pipeline_creationTime :: Lens' Pipeline (Maybe UTCTime)
pipeline_pipelineDisplayName :: Lens' Pipeline (Maybe Text)
pipeline_pipelineName :: Lens' Pipeline (Maybe Text)
pipeline_createdBy :: Lens' Pipeline (Maybe UserContext)
pipeline_lastRunTime :: Lens' Pipeline (Maybe UTCTime)
pipeline_lastModifiedTime :: Lens' Pipeline (Maybe UTCTime)
pipeline_pipelineStatus :: Lens' Pipeline (Maybe PipelineStatus)
pipeline_pipelineDescription :: Lens' Pipeline (Maybe Text)
pipeline_pipelineArn :: Lens' Pipeline (Maybe Text)
pipeline_lastModifiedBy :: Lens' Pipeline (Maybe UserContext)
pipeline_tags :: Lens' Pipeline (Maybe [Tag])
pipeline_roleArn :: Lens' Pipeline (Maybe Text)
data PipelineExecution = PipelineExecution' {
- creationTime :: Maybe POSIX
- pipelineExecutionStatus :: Maybe PipelineExecutionStatus
- failureReason :: Maybe Text
- pipelineExecutionArn :: Maybe Text
- pipelineParameters :: Maybe [Parameter]
- createdBy :: Maybe UserContext
- lastModifiedTime :: Maybe POSIX
- pipelineArn :: Maybe Text
- pipelineExecutionDisplayName :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- pipelineExecutionDescription :: Maybe Text
- pipelineExperimentConfig :: Maybe PipelineExperimentConfig
}
newPipelineExecution :: PipelineExecution
pipelineExecution_creationTime :: Lens' PipelineExecution (Maybe UTCTime)
pipelineExecution_pipelineExecutionStatus :: Lens' PipelineExecution (Maybe PipelineExecutionStatus)
pipelineExecution_failureReason :: Lens' PipelineExecution (Maybe Text)
pipelineExecution_pipelineExecutionArn :: Lens' PipelineExecution (Maybe Text)
pipelineExecution_pipelineParameters :: Lens' PipelineExecution (Maybe [Parameter])
pipelineExecution_createdBy :: Lens' PipelineExecution (Maybe UserContext)
pipelineExecution_lastModifiedTime :: Lens' PipelineExecution (Maybe UTCTime)
pipelineExecution_pipelineArn :: Lens' PipelineExecution (Maybe Text)
pipelineExecution_pipelineExecutionDisplayName :: Lens' PipelineExecution (Maybe Text)
pipelineExecution_lastModifiedBy :: Lens' PipelineExecution (Maybe UserContext)
pipelineExecution_pipelineExecutionDescription :: Lens' PipelineExecution (Maybe Text)
pipelineExecution_pipelineExperimentConfig :: Lens' PipelineExecution (Maybe PipelineExperimentConfig)
data PipelineExecutionStep = PipelineExecutionStep' {
- failureReason :: Maybe Text
- startTime :: Maybe POSIX
- stepName :: Maybe Text
- stepStatus :: Maybe StepStatus
- endTime :: Maybe POSIX
- metadata :: Maybe PipelineExecutionStepMetadata
- cacheHitResult :: Maybe CacheHitResult
}
newPipelineExecutionStep :: PipelineExecutionStep
pipelineExecutionStep_failureReason :: Lens' PipelineExecutionStep (Maybe Text)
pipelineExecutionStep_startTime :: Lens' PipelineExecutionStep (Maybe UTCTime)
pipelineExecutionStep_stepName :: Lens' PipelineExecutionStep (Maybe Text)
pipelineExecutionStep_stepStatus :: Lens' PipelineExecutionStep (Maybe StepStatus)
pipelineExecutionStep_endTime :: Lens' PipelineExecutionStep (Maybe UTCTime)
pipelineExecutionStep_metadata :: Lens' PipelineExecutionStep (Maybe PipelineExecutionStepMetadata)
pipelineExecutionStep_cacheHitResult :: Lens' PipelineExecutionStep (Maybe CacheHitResult)
data PipelineExecutionStepMetadata = PipelineExecutionStepMetadata' {
- trainingJob :: Maybe TrainingJobStepMetadata
- processingJob :: Maybe ProcessingJobStepMetadata
- model :: Maybe ModelStepMetadata
- lambda :: Maybe LambdaStepMetadata
- tuningJob :: Maybe TuningJobStepMetaData
- condition :: Maybe ConditionStepMetadata
- transformJob :: Maybe TransformJobStepMetadata
- registerModel :: Maybe RegisterModelStepMetadata
- callback :: Maybe CallbackStepMetadata
}
newPipelineExecutionStepMetadata :: PipelineExecutionStepMetadata
pipelineExecutionStepMetadata_trainingJob :: Lens' PipelineExecutionStepMetadata (Maybe TrainingJobStepMetadata)
pipelineExecutionStepMetadata_processingJob :: Lens' PipelineExecutionStepMetadata (Maybe ProcessingJobStepMetadata)
pipelineExecutionStepMetadata_model :: Lens' PipelineExecutionStepMetadata (Maybe ModelStepMetadata)
pipelineExecutionStepMetadata_lambda :: Lens' PipelineExecutionStepMetadata (Maybe LambdaStepMetadata)
pipelineExecutionStepMetadata_tuningJob :: Lens' PipelineExecutionStepMetadata (Maybe TuningJobStepMetaData)
pipelineExecutionStepMetadata_condition :: Lens' PipelineExecutionStepMetadata (Maybe ConditionStepMetadata)
pipelineExecutionStepMetadata_transformJob :: Lens' PipelineExecutionStepMetadata (Maybe TransformJobStepMetadata)
pipelineExecutionStepMetadata_registerModel :: Lens' PipelineExecutionStepMetadata (Maybe RegisterModelStepMetadata)
pipelineExecutionStepMetadata_callback :: Lens' PipelineExecutionStepMetadata (Maybe CallbackStepMetadata)
data PipelineExecutionSummary = PipelineExecutionSummary' {
- pipelineExecutionStatus :: Maybe PipelineExecutionStatus
- startTime :: Maybe POSIX
- pipelineExecutionArn :: Maybe Text
- pipelineExecutionDisplayName :: Maybe Text
- pipelineExecutionDescription :: Maybe Text
}
newPipelineExecutionSummary :: PipelineExecutionSummary
pipelineExecutionSummary_pipelineExecutionStatus :: Lens' PipelineExecutionSummary (Maybe PipelineExecutionStatus)
pipelineExecutionSummary_startTime :: Lens' PipelineExecutionSummary (Maybe UTCTime)
pipelineExecutionSummary_pipelineExecutionArn :: Lens' PipelineExecutionSummary (Maybe Text)
pipelineExecutionSummary_pipelineExecutionDisplayName :: Lens' PipelineExecutionSummary (Maybe Text)
pipelineExecutionSummary_pipelineExecutionDescription :: Lens' PipelineExecutionSummary (Maybe Text)
data PipelineExperimentConfig = PipelineExperimentConfig' {
- experimentName :: Maybe Text
- trialName :: Maybe Text
}
newPipelineExperimentConfig :: PipelineExperimentConfig
pipelineExperimentConfig_experimentName :: Lens' PipelineExperimentConfig (Maybe Text)
pipelineExperimentConfig_trialName :: Lens' PipelineExperimentConfig (Maybe Text)
data PipelineSummary = PipelineSummary' {
- creationTime :: Maybe POSIX
- pipelineDisplayName :: Maybe Text
- lastExecutionTime :: Maybe POSIX
- pipelineName :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- pipelineDescription :: Maybe Text
- pipelineArn :: Maybe Text
- roleArn :: Maybe Text
}
newPipelineSummary :: PipelineSummary
pipelineSummary_creationTime :: Lens' PipelineSummary (Maybe UTCTime)
pipelineSummary_pipelineDisplayName :: Lens' PipelineSummary (Maybe Text)
pipelineSummary_lastExecutionTime :: Lens' PipelineSummary (Maybe UTCTime)
pipelineSummary_pipelineName :: Lens' PipelineSummary (Maybe Text)
pipelineSummary_lastModifiedTime :: Lens' PipelineSummary (Maybe UTCTime)
pipelineSummary_pipelineDescription :: Lens' PipelineSummary (Maybe Text)
pipelineSummary_pipelineArn :: Lens' PipelineSummary (Maybe Text)
pipelineSummary_roleArn :: Lens' PipelineSummary (Maybe Text)
data ProcessingClusterConfig = ProcessingClusterConfig' {
- volumeKmsKeyId :: Maybe Text
- instanceCount :: Natural
- instanceType :: ProcessingInstanceType
- volumeSizeInGB :: Natural
}
newProcessingClusterConfig :: Natural -> ProcessingInstanceType -> Natural -> ProcessingClusterConfig
processingClusterConfig_volumeKmsKeyId :: Lens' ProcessingClusterConfig (Maybe Text)
processingClusterConfig_instanceCount :: Lens' ProcessingClusterConfig Natural
processingClusterConfig_instanceType :: Lens' ProcessingClusterConfig ProcessingInstanceType
processingClusterConfig_volumeSizeInGB :: Lens' ProcessingClusterConfig Natural
data ProcessingFeatureStoreOutput = ProcessingFeatureStoreOutput' {
- featureGroupName :: Text
}
newProcessingFeatureStoreOutput :: Text -> ProcessingFeatureStoreOutput
processingFeatureStoreOutput_featureGroupName :: Lens' ProcessingFeatureStoreOutput Text
data ProcessingInput = ProcessingInput' {
- datasetDefinition :: Maybe DatasetDefinition
- appManaged :: Maybe Bool
- s3Input :: Maybe ProcessingS3Input
- inputName :: Text
}
newProcessingInput :: Text -> ProcessingInput
processingInput_datasetDefinition :: Lens' ProcessingInput (Maybe DatasetDefinition)
processingInput_appManaged :: Lens' ProcessingInput (Maybe Bool)
processingInput_s3Input :: Lens' ProcessingInput (Maybe ProcessingS3Input)
processingInput_inputName :: Lens' ProcessingInput Text
data ProcessingJob = ProcessingJob' {
- creationTime :: Maybe POSIX
- failureReason :: Maybe Text
- monitoringScheduleArn :: Maybe Text
- appSpecification :: Maybe AppSpecification
- processingResources :: Maybe ProcessingResources
- environment :: Maybe (HashMap Text Text)
- processingJobName :: Maybe Text
- stoppingCondition :: Maybe ProcessingStoppingCondition
- experimentConfig :: Maybe ExperimentConfig
- lastModifiedTime :: Maybe POSIX
- processingInputs :: Maybe [ProcessingInput]
- networkConfig :: Maybe NetworkConfig
- autoMLJobArn :: Maybe Text
- trainingJobArn :: Maybe Text
- processingJobStatus :: Maybe ProcessingJobStatus
- exitMessage :: Maybe Text
- processingOutputConfig :: Maybe ProcessingOutputConfig
- processingStartTime :: Maybe POSIX
- processingEndTime :: Maybe POSIX
- tags :: Maybe [Tag]
- processingJobArn :: Maybe Text
- roleArn :: Maybe Text
}
newProcessingJob :: ProcessingJob
processingJob_creationTime :: Lens' ProcessingJob (Maybe UTCTime)
processingJob_failureReason :: Lens' ProcessingJob (Maybe Text)
processingJob_monitoringScheduleArn :: Lens' ProcessingJob (Maybe Text)
processingJob_appSpecification :: Lens' ProcessingJob (Maybe AppSpecification)
processingJob_processingResources :: Lens' ProcessingJob (Maybe ProcessingResources)
processingJob_environment :: Lens' ProcessingJob (Maybe (HashMap Text Text))
processingJob_processingJobName :: Lens' ProcessingJob (Maybe Text)
processingJob_stoppingCondition :: Lens' ProcessingJob (Maybe ProcessingStoppingCondition)
processingJob_experimentConfig :: Lens' ProcessingJob (Maybe ExperimentConfig)
processingJob_lastModifiedTime :: Lens' ProcessingJob (Maybe UTCTime)
processingJob_processingInputs :: Lens' ProcessingJob (Maybe [ProcessingInput])
processingJob_networkConfig :: Lens' ProcessingJob (Maybe NetworkConfig)
processingJob_autoMLJobArn :: Lens' ProcessingJob (Maybe Text)
processingJob_trainingJobArn :: Lens' ProcessingJob (Maybe Text)
processingJob_processingJobStatus :: Lens' ProcessingJob (Maybe ProcessingJobStatus)
processingJob_exitMessage :: Lens' ProcessingJob (Maybe Text)
processingJob_processingOutputConfig :: Lens' ProcessingJob (Maybe ProcessingOutputConfig)
processingJob_processingStartTime :: Lens' ProcessingJob (Maybe UTCTime)
processingJob_processingEndTime :: Lens' ProcessingJob (Maybe UTCTime)
processingJob_tags :: Lens' ProcessingJob (Maybe [Tag])
processingJob_processingJobArn :: Lens' ProcessingJob (Maybe Text)
processingJob_roleArn :: Lens' ProcessingJob (Maybe Text)
data ProcessingJobStepMetadata = ProcessingJobStepMetadata' {
- arn :: Maybe Text
}
newProcessingJobStepMetadata :: ProcessingJobStepMetadata
processingJobStepMetadata_arn :: Lens' ProcessingJobStepMetadata (Maybe Text)
data ProcessingJobSummary = ProcessingJobSummary' {
- failureReason :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- exitMessage :: Maybe Text
- processingEndTime :: Maybe POSIX
- processingJobName :: Text
- processingJobArn :: Text
- creationTime :: POSIX
- processingJobStatus :: ProcessingJobStatus
}
newProcessingJobSummary :: Text -> Text -> UTCTime -> ProcessingJobStatus -> ProcessingJobSummary
processingJobSummary_failureReason :: Lens' ProcessingJobSummary (Maybe Text)
processingJobSummary_lastModifiedTime :: Lens' ProcessingJobSummary (Maybe UTCTime)
processingJobSummary_exitMessage :: Lens' ProcessingJobSummary (Maybe Text)
processingJobSummary_processingEndTime :: Lens' ProcessingJobSummary (Maybe UTCTime)
processingJobSummary_processingJobName :: Lens' ProcessingJobSummary Text
processingJobSummary_processingJobArn :: Lens' ProcessingJobSummary Text
processingJobSummary_creationTime :: Lens' ProcessingJobSummary UTCTime
processingJobSummary_processingJobStatus :: Lens' ProcessingJobSummary ProcessingJobStatus
data ProcessingOutput = ProcessingOutput' {
- featureStoreOutput :: Maybe ProcessingFeatureStoreOutput
- s3Output :: Maybe ProcessingS3Output
- appManaged :: Maybe Bool
- outputName :: Text
}
newProcessingOutput :: Text -> ProcessingOutput
processingOutput_featureStoreOutput :: Lens' ProcessingOutput (Maybe ProcessingFeatureStoreOutput)
processingOutput_s3Output :: Lens' ProcessingOutput (Maybe ProcessingS3Output)
processingOutput_appManaged :: Lens' ProcessingOutput (Maybe Bool)
processingOutput_outputName :: Lens' ProcessingOutput Text
data ProcessingOutputConfig = ProcessingOutputConfig' {
- kmsKeyId :: Maybe Text
- outputs :: [ProcessingOutput]
}
newProcessingOutputConfig :: ProcessingOutputConfig
processingOutputConfig_kmsKeyId :: Lens' ProcessingOutputConfig (Maybe Text)
processingOutputConfig_outputs :: Lens' ProcessingOutputConfig [ProcessingOutput]
data ProcessingResources = ProcessingResources' {
- clusterConfig :: ProcessingClusterConfig
}
newProcessingResources :: ProcessingClusterConfig -> ProcessingResources
processingResources_clusterConfig :: Lens' ProcessingResources ProcessingClusterConfig
data ProcessingS3Input = ProcessingS3Input' {
- s3DataDistributionType :: Maybe ProcessingS3DataDistributionType
- s3InputMode :: Maybe ProcessingS3InputMode
- localPath :: Maybe Text
- s3CompressionType :: Maybe ProcessingS3CompressionType
- s3Uri :: Text
- s3DataType :: ProcessingS3DataType
}
newProcessingS3Input :: Text -> ProcessingS3DataType -> ProcessingS3Input
processingS3Input_s3DataDistributionType :: Lens' ProcessingS3Input (Maybe ProcessingS3DataDistributionType)
processingS3Input_s3InputMode :: Lens' ProcessingS3Input (Maybe ProcessingS3InputMode)
processingS3Input_localPath :: Lens' ProcessingS3Input (Maybe Text)
processingS3Input_s3CompressionType :: Lens' ProcessingS3Input (Maybe ProcessingS3CompressionType)
processingS3Input_s3Uri :: Lens' ProcessingS3Input Text
processingS3Input_s3DataType :: Lens' ProcessingS3Input ProcessingS3DataType
data ProcessingS3Output = ProcessingS3Output' {
- s3Uri :: Text
- localPath :: Text
- s3UploadMode :: ProcessingS3UploadMode
}
newProcessingS3Output :: Text -> Text -> ProcessingS3UploadMode -> ProcessingS3Output
processingS3Output_s3Uri :: Lens' ProcessingS3Output Text
processingS3Output_localPath :: Lens' ProcessingS3Output Text
processingS3Output_s3UploadMode :: Lens' ProcessingS3Output ProcessingS3UploadMode
data ProcessingStoppingCondition = ProcessingStoppingCondition' {
- maxRuntimeInSeconds :: Natural
}
newProcessingStoppingCondition :: Natural -> ProcessingStoppingCondition
processingStoppingCondition_maxRuntimeInSeconds :: Lens' ProcessingStoppingCondition Natural
data ProductionVariant = ProductionVariant' {
- acceleratorType :: Maybe ProductionVariantAcceleratorType
- coreDumpConfig :: Maybe ProductionVariantCoreDumpConfig
- initialVariantWeight :: Maybe Double
- variantName :: Text
- modelName :: Text
- initialInstanceCount :: Natural
- instanceType :: ProductionVariantInstanceType
}
newProductionVariant :: Text -> Text -> Natural -> ProductionVariantInstanceType -> ProductionVariant
productionVariant_acceleratorType :: Lens' ProductionVariant (Maybe ProductionVariantAcceleratorType)
productionVariant_coreDumpConfig :: Lens' ProductionVariant (Maybe ProductionVariantCoreDumpConfig)
productionVariant_initialVariantWeight :: Lens' ProductionVariant (Maybe Double)
productionVariant_variantName :: Lens' ProductionVariant Text
productionVariant_modelName :: Lens' ProductionVariant Text
productionVariant_initialInstanceCount :: Lens' ProductionVariant Natural
productionVariant_instanceType :: Lens' ProductionVariant ProductionVariantInstanceType
data ProductionVariantCoreDumpConfig = ProductionVariantCoreDumpConfig' {
- kmsKeyId :: Maybe Text
- destinationS3Uri :: Text
}
newProductionVariantCoreDumpConfig :: Text -> ProductionVariantCoreDumpConfig
productionVariantCoreDumpConfig_kmsKeyId :: Lens' ProductionVariantCoreDumpConfig (Maybe Text)
productionVariantCoreDumpConfig_destinationS3Uri :: Lens' ProductionVariantCoreDumpConfig Text
data ProductionVariantSummary = ProductionVariantSummary' {
- desiredInstanceCount :: Maybe Natural
- desiredWeight :: Maybe Double
- currentWeight :: Maybe Double
- currentInstanceCount :: Maybe Natural
- deployedImages :: Maybe [DeployedImage]
- variantName :: Text
}
newProductionVariantSummary :: Text -> ProductionVariantSummary
productionVariantSummary_desiredInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural)
productionVariantSummary_desiredWeight :: Lens' ProductionVariantSummary (Maybe Double)
productionVariantSummary_currentWeight :: Lens' ProductionVariantSummary (Maybe Double)
productionVariantSummary_currentInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural)
productionVariantSummary_deployedImages :: Lens' ProductionVariantSummary (Maybe [DeployedImage])
productionVariantSummary_variantName :: Lens' ProductionVariantSummary Text
data ProfilerConfig = ProfilerConfig' {
- profilingParameters :: Maybe (HashMap Text Text)
- profilingIntervalInMilliseconds :: Maybe Integer
- s3OutputPath :: Text
}
newProfilerConfig :: Text -> ProfilerConfig
profilerConfig_profilingParameters :: Lens' ProfilerConfig (Maybe (HashMap Text Text))
profilerConfig_profilingIntervalInMilliseconds :: Lens' ProfilerConfig (Maybe Integer)
profilerConfig_s3OutputPath :: Lens' ProfilerConfig Text
data ProfilerConfigForUpdate = ProfilerConfigForUpdate' {
- profilingParameters :: Maybe (HashMap Text Text)
- s3OutputPath :: Maybe Text
- profilingIntervalInMilliseconds :: Maybe Integer
- disableProfiler :: Maybe Bool
}
newProfilerConfigForUpdate :: ProfilerConfigForUpdate
profilerConfigForUpdate_profilingParameters :: Lens' ProfilerConfigForUpdate (Maybe (HashMap Text Text))
profilerConfigForUpdate_s3OutputPath :: Lens' ProfilerConfigForUpdate (Maybe Text)
profilerConfigForUpdate_profilingIntervalInMilliseconds :: Lens' ProfilerConfigForUpdate (Maybe Integer)
profilerConfigForUpdate_disableProfiler :: Lens' ProfilerConfigForUpdate (Maybe Bool)
data ProfilerRuleConfiguration = ProfilerRuleConfiguration' {
- ruleParameters :: Maybe (HashMap Text Text)
- s3OutputPath :: Maybe Text
- localPath :: Maybe Text
- instanceType :: Maybe ProcessingInstanceType
- volumeSizeInGB :: Maybe Natural
- ruleConfigurationName :: Text
- ruleEvaluatorImage :: Text
}
newProfilerRuleConfiguration :: Text -> Text -> ProfilerRuleConfiguration
profilerRuleConfiguration_ruleParameters :: Lens' ProfilerRuleConfiguration (Maybe (HashMap Text Text))
profilerRuleConfiguration_s3OutputPath :: Lens' ProfilerRuleConfiguration (Maybe Text)
profilerRuleConfiguration_localPath :: Lens' ProfilerRuleConfiguration (Maybe Text)
profilerRuleConfiguration_instanceType :: Lens' ProfilerRuleConfiguration (Maybe ProcessingInstanceType)
profilerRuleConfiguration_volumeSizeInGB :: Lens' ProfilerRuleConfiguration (Maybe Natural)
profilerRuleConfiguration_ruleConfigurationName :: Lens' ProfilerRuleConfiguration Text
profilerRuleConfiguration_ruleEvaluatorImage :: Lens' ProfilerRuleConfiguration Text
data ProfilerRuleEvaluationStatus = ProfilerRuleEvaluationStatus' {
- lastModifiedTime :: Maybe POSIX
- statusDetails :: Maybe Text
- ruleEvaluationStatus :: Maybe RuleEvaluationStatus
- ruleEvaluationJobArn :: Maybe Text
- ruleConfigurationName :: Maybe Text
}
newProfilerRuleEvaluationStatus :: ProfilerRuleEvaluationStatus
profilerRuleEvaluationStatus_lastModifiedTime :: Lens' ProfilerRuleEvaluationStatus (Maybe UTCTime)
profilerRuleEvaluationStatus_statusDetails :: Lens' ProfilerRuleEvaluationStatus (Maybe Text)
profilerRuleEvaluationStatus_ruleEvaluationStatus :: Lens' ProfilerRuleEvaluationStatus (Maybe RuleEvaluationStatus)
profilerRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' ProfilerRuleEvaluationStatus (Maybe Text)
profilerRuleEvaluationStatus_ruleConfigurationName :: Lens' ProfilerRuleEvaluationStatus (Maybe Text)
data Project = Project' {
- creationTime :: Maybe POSIX
- serviceCatalogProvisionedProductDetails :: Maybe ServiceCatalogProvisionedProductDetails
- createdBy :: Maybe UserContext
- projectStatus :: Maybe ProjectStatus
- projectName :: Maybe Text
- serviceCatalogProvisioningDetails :: Maybe ServiceCatalogProvisioningDetails
- projectId :: Maybe Text
- projectArn :: Maybe Text
- projectDescription :: Maybe Text
- tags :: Maybe [Tag]
}
newProject :: Project
project_creationTime :: Lens' Project (Maybe UTCTime)
project_serviceCatalogProvisionedProductDetails :: Lens' Project (Maybe ServiceCatalogProvisionedProductDetails)
project_createdBy :: Lens' Project (Maybe UserContext)
project_projectStatus :: Lens' Project (Maybe ProjectStatus)
project_projectName :: Lens' Project (Maybe Text)
project_serviceCatalogProvisioningDetails :: Lens' Project (Maybe ServiceCatalogProvisioningDetails)
project_projectId :: Lens' Project (Maybe Text)
project_projectArn :: Lens' Project (Maybe Text)
project_projectDescription :: Lens' Project (Maybe Text)
project_tags :: Lens' Project (Maybe [Tag])
data ProjectSummary = ProjectSummary' {
- projectDescription :: Maybe Text
- projectName :: Text
- projectArn :: Text
- projectId :: Text
- creationTime :: POSIX
- projectStatus :: ProjectStatus
}
newProjectSummary :: Text -> Text -> Text -> UTCTime -> ProjectStatus -> ProjectSummary
projectSummary_projectDescription :: Lens' ProjectSummary (Maybe Text)
projectSummary_projectName :: Lens' ProjectSummary Text
projectSummary_projectArn :: Lens' ProjectSummary Text
projectSummary_projectId :: Lens' ProjectSummary Text
projectSummary_creationTime :: Lens' ProjectSummary UTCTime
projectSummary_projectStatus :: Lens' ProjectSummary ProjectStatus
data PropertyNameQuery = PropertyNameQuery' {
- propertyNameHint :: Text
}
newPropertyNameQuery :: Text -> PropertyNameQuery
propertyNameQuery_propertyNameHint :: Lens' PropertyNameQuery Text
data PropertyNameSuggestion = PropertyNameSuggestion' {
- propertyName :: Maybe Text
}
newPropertyNameSuggestion :: PropertyNameSuggestion
propertyNameSuggestion_propertyName :: Lens' PropertyNameSuggestion (Maybe Text)
data ProvisioningParameter = ProvisioningParameter' {
- value :: Maybe Text
- key :: Maybe Text
}
newProvisioningParameter :: ProvisioningParameter
provisioningParameter_value :: Lens' ProvisioningParameter (Maybe Text)
provisioningParameter_key :: Lens' ProvisioningParameter (Maybe Text)
data PublicWorkforceTaskPrice = PublicWorkforceTaskPrice' {
- amountInUsd :: Maybe USD
}
newPublicWorkforceTaskPrice :: PublicWorkforceTaskPrice
publicWorkforceTaskPrice_amountInUsd :: Lens' PublicWorkforceTaskPrice (Maybe USD)
data RedshiftDatasetDefinition = RedshiftDatasetDefinition' {
- kmsKeyId :: Maybe Text
- outputCompression :: Maybe RedshiftResultCompressionType
- clusterId :: Text
- database :: Text
- dbUser :: Text
- queryString :: Text
- clusterRoleArn :: Text
- outputS3Uri :: Text
- outputFormat :: RedshiftResultFormat
}
newRedshiftDatasetDefinition :: Text -> Text -> Text -> Text -> Text -> Text -> RedshiftResultFormat -> RedshiftDatasetDefinition
redshiftDatasetDefinition_kmsKeyId :: Lens' RedshiftDatasetDefinition (Maybe Text)
redshiftDatasetDefinition_outputCompression :: Lens' RedshiftDatasetDefinition (Maybe RedshiftResultCompressionType)
redshiftDatasetDefinition_clusterId :: Lens' RedshiftDatasetDefinition Text
redshiftDatasetDefinition_database :: Lens' RedshiftDatasetDefinition Text
redshiftDatasetDefinition_dbUser :: Lens' RedshiftDatasetDefinition Text
redshiftDatasetDefinition_queryString :: Lens' RedshiftDatasetDefinition Text
redshiftDatasetDefinition_clusterRoleArn :: Lens' RedshiftDatasetDefinition Text
redshiftDatasetDefinition_outputS3Uri :: Lens' RedshiftDatasetDefinition Text
redshiftDatasetDefinition_outputFormat :: Lens' RedshiftDatasetDefinition RedshiftResultFormat
data RegisterModelStepMetadata = RegisterModelStepMetadata' {
- arn :: Maybe Text
}
newRegisterModelStepMetadata :: RegisterModelStepMetadata
registerModelStepMetadata_arn :: Lens' RegisterModelStepMetadata (Maybe Text)
data RenderableTask = RenderableTask' {
- input :: Text
}
newRenderableTask :: Text -> RenderableTask
renderableTask_input :: Lens' RenderableTask Text
data RenderingError = RenderingError' {
- code :: Text
- message :: Text
}
newRenderingError :: Text -> Text -> RenderingError
renderingError_code :: Lens' RenderingError Text
renderingError_message :: Lens' RenderingError Text
data RepositoryAuthConfig = RepositoryAuthConfig' {
- repositoryCredentialsProviderArn :: Text
}
newRepositoryAuthConfig :: Text -> RepositoryAuthConfig
repositoryAuthConfig_repositoryCredentialsProviderArn :: Lens' RepositoryAuthConfig Text
data ResolvedAttributes = ResolvedAttributes' {
- problemType :: Maybe ProblemType
- autoMLJobObjective :: Maybe AutoMLJobObjective
- completionCriteria :: Maybe AutoMLJobCompletionCriteria
}
newResolvedAttributes :: ResolvedAttributes
resolvedAttributes_problemType :: Lens' ResolvedAttributes (Maybe ProblemType)
resolvedAttributes_autoMLJobObjective :: Lens' ResolvedAttributes (Maybe AutoMLJobObjective)
resolvedAttributes_completionCriteria :: Lens' ResolvedAttributes (Maybe AutoMLJobCompletionCriteria)
data ResourceConfig = ResourceConfig' {
- volumeKmsKeyId :: Maybe Text
- instanceType :: TrainingInstanceType
- instanceCount :: Natural
- volumeSizeInGB :: Natural
}
newResourceConfig :: TrainingInstanceType -> Natural -> Natural -> ResourceConfig
resourceConfig_volumeKmsKeyId :: Lens' ResourceConfig (Maybe Text)
resourceConfig_instanceType :: Lens' ResourceConfig TrainingInstanceType
resourceConfig_instanceCount :: Lens' ResourceConfig Natural
resourceConfig_volumeSizeInGB :: Lens' ResourceConfig Natural
data ResourceLimits = ResourceLimits' {
- maxNumberOfTrainingJobs :: Natural
- maxParallelTrainingJobs :: Natural
}
newResourceLimits :: Natural -> Natural -> ResourceLimits
resourceLimits_maxNumberOfTrainingJobs :: Lens' ResourceLimits Natural
resourceLimits_maxParallelTrainingJobs :: Lens' ResourceLimits Natural
data ResourceSpec = ResourceSpec' {
- instanceType :: Maybe AppInstanceType
- sageMakerImageArn :: Maybe Text
- sageMakerImageVersionArn :: Maybe Text
- lifecycleConfigArn :: Maybe Text
}
newResourceSpec :: ResourceSpec
resourceSpec_instanceType :: Lens' ResourceSpec (Maybe AppInstanceType)
resourceSpec_sageMakerImageArn :: Lens' ResourceSpec (Maybe Text)
resourceSpec_sageMakerImageVersionArn :: Lens' ResourceSpec (Maybe Text)
resourceSpec_lifecycleConfigArn :: Lens' ResourceSpec (Maybe Text)
data RetentionPolicy = RetentionPolicy' {
- homeEfsFileSystem :: Maybe RetentionType
}
newRetentionPolicy :: RetentionPolicy
retentionPolicy_homeEfsFileSystem :: Lens' RetentionPolicy (Maybe RetentionType)
data RetryStrategy = RetryStrategy' {
- maximumRetryAttempts :: Natural
}
newRetryStrategy :: Natural -> RetryStrategy
retryStrategy_maximumRetryAttempts :: Lens' RetryStrategy Natural
data S3DataSource = S3DataSource' {
- s3DataDistributionType :: Maybe S3DataDistribution
- attributeNames :: Maybe [Text]
- s3DataType :: S3DataType
- s3Uri :: Text
}
newS3DataSource :: S3DataType -> Text -> S3DataSource
s3DataSource_s3DataDistributionType :: Lens' S3DataSource (Maybe S3DataDistribution)
s3DataSource_attributeNames :: Lens' S3DataSource (Maybe [Text])
s3DataSource_s3DataType :: Lens' S3DataSource S3DataType
s3DataSource_s3Uri :: Lens' S3DataSource Text
data S3StorageConfig = S3StorageConfig' {
- resolvedOutputS3Uri :: Maybe Text
- kmsKeyId :: Maybe Text
- s3Uri :: Text
}
newS3StorageConfig :: Text -> S3StorageConfig
s3StorageConfig_resolvedOutputS3Uri :: Lens' S3StorageConfig (Maybe Text)
s3StorageConfig_kmsKeyId :: Lens' S3StorageConfig (Maybe Text)
s3StorageConfig_s3Uri :: Lens' S3StorageConfig Text
data ScheduleConfig = ScheduleConfig' {
- scheduleExpression :: Text
}
newScheduleConfig :: Text -> ScheduleConfig
scheduleConfig_scheduleExpression :: Lens' ScheduleConfig Text
data SearchExpression = SearchExpression' {
- subExpressions :: Maybe (NonEmpty SearchExpression)
- operator :: Maybe BooleanOperator
- filters :: Maybe (NonEmpty Filter)
- nestedFilters :: Maybe (NonEmpty NestedFilters)
}
newSearchExpression :: SearchExpression
searchExpression_subExpressions :: Lens' SearchExpression (Maybe (NonEmpty SearchExpression))
searchExpression_operator :: Lens' SearchExpression (Maybe BooleanOperator)
searchExpression_filters :: Lens' SearchExpression (Maybe (NonEmpty Filter))
searchExpression_nestedFilters :: Lens' SearchExpression (Maybe (NonEmpty NestedFilters))
data SearchRecord = SearchRecord' {
- trainingJob :: Maybe TrainingJob
- trial :: Maybe Trial
- modelPackageGroup :: Maybe ModelPackageGroup
- trialComponent :: Maybe TrialComponent
- project :: Maybe Project
- pipelineExecution :: Maybe PipelineExecution
- featureGroup :: Maybe FeatureGroup
- experiment :: Maybe Experiment
- pipeline :: Maybe Pipeline
- modelPackage :: Maybe ModelPackage
- endpoint :: Maybe Endpoint
}
newSearchRecord :: SearchRecord
searchRecord_trainingJob :: Lens' SearchRecord (Maybe TrainingJob)
searchRecord_trial :: Lens' SearchRecord (Maybe Trial)
searchRecord_modelPackageGroup :: Lens' SearchRecord (Maybe ModelPackageGroup)
searchRecord_trialComponent :: Lens' SearchRecord (Maybe TrialComponent)
searchRecord_project :: Lens' SearchRecord (Maybe Project)
searchRecord_pipelineExecution :: Lens' SearchRecord (Maybe PipelineExecution)
searchRecord_featureGroup :: Lens' SearchRecord (Maybe FeatureGroup)
searchRecord_experiment :: Lens' SearchRecord (Maybe Experiment)
searchRecord_pipeline :: Lens' SearchRecord (Maybe Pipeline)
searchRecord_modelPackage :: Lens' SearchRecord (Maybe ModelPackage)
searchRecord_endpoint :: Lens' SearchRecord (Maybe Endpoint)
data SecondaryStatusTransition = SecondaryStatusTransition' {
- statusMessage :: Maybe Text
- endTime :: Maybe POSIX
- status :: SecondaryStatus
- startTime :: POSIX
}
newSecondaryStatusTransition :: SecondaryStatus -> UTCTime -> SecondaryStatusTransition
secondaryStatusTransition_statusMessage :: Lens' SecondaryStatusTransition (Maybe Text)
secondaryStatusTransition_endTime :: Lens' SecondaryStatusTransition (Maybe UTCTime)
secondaryStatusTransition_status :: Lens' SecondaryStatusTransition SecondaryStatus
secondaryStatusTransition_startTime :: Lens' SecondaryStatusTransition UTCTime
data ServiceCatalogProvisionedProductDetails = ServiceCatalogProvisionedProductDetails' {
- provisionedProductStatusMessage :: Maybe Text
- provisionedProductId :: Maybe Text
}
newServiceCatalogProvisionedProductDetails :: ServiceCatalogProvisionedProductDetails
serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text)
serviceCatalogProvisionedProductDetails_provisionedProductId :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text)
data ServiceCatalogProvisioningDetails = ServiceCatalogProvisioningDetails' {
- provisioningArtifactId :: Maybe Text
- pathId :: Maybe Text
- provisioningParameters :: Maybe [ProvisioningParameter]
- productId :: Text
}
newServiceCatalogProvisioningDetails :: Text -> ServiceCatalogProvisioningDetails
serviceCatalogProvisioningDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text)
serviceCatalogProvisioningDetails_pathId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text)
serviceCatalogProvisioningDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningDetails (Maybe [ProvisioningParameter])
serviceCatalogProvisioningDetails_productId :: Lens' ServiceCatalogProvisioningDetails Text
data SharingSettings = SharingSettings' {
- s3KmsKeyId :: Maybe Text
- s3OutputPath :: Maybe Text
- notebookOutputOption :: Maybe NotebookOutputOption
}
newSharingSettings :: SharingSettings
sharingSettings_s3KmsKeyId :: Lens' SharingSettings (Maybe Text)
sharingSettings_s3OutputPath :: Lens' SharingSettings (Maybe Text)
sharingSettings_notebookOutputOption :: Lens' SharingSettings (Maybe NotebookOutputOption)
data ShuffleConfig = ShuffleConfig' {
- seed :: Integer
}
newShuffleConfig :: Integer -> ShuffleConfig
shuffleConfig_seed :: Lens' ShuffleConfig Integer
data SourceAlgorithm = SourceAlgorithm' {
- modelDataUrl :: Maybe Text
- algorithmName :: Text
}
newSourceAlgorithm :: Text -> SourceAlgorithm
sourceAlgorithm_modelDataUrl :: Lens' SourceAlgorithm (Maybe Text)
sourceAlgorithm_algorithmName :: Lens' SourceAlgorithm Text
data SourceAlgorithmSpecification = SourceAlgorithmSpecification' {
- sourceAlgorithms :: NonEmpty SourceAlgorithm
}
newSourceAlgorithmSpecification :: NonEmpty SourceAlgorithm -> SourceAlgorithmSpecification
sourceAlgorithmSpecification_sourceAlgorithms :: Lens' SourceAlgorithmSpecification (NonEmpty SourceAlgorithm)
data SourceIpConfig = SourceIpConfig' {
- cidrs :: [Text]
}
newSourceIpConfig :: SourceIpConfig
sourceIpConfig_cidrs :: Lens' SourceIpConfig [Text]
data StoppingCondition = StoppingCondition' {
- maxWaitTimeInSeconds :: Maybe Natural
- maxRuntimeInSeconds :: Maybe Natural
}
newStoppingCondition :: StoppingCondition
stoppingCondition_maxWaitTimeInSeconds :: Lens' StoppingCondition (Maybe Natural)
stoppingCondition_maxRuntimeInSeconds :: Lens' StoppingCondition (Maybe Natural)
data StudioLifecycleConfigDetails = StudioLifecycleConfigDetails' {
- creationTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- studioLifecycleConfigArn :: Maybe Text
- studioLifecycleConfigAppType :: Maybe StudioLifecycleConfigAppType
- studioLifecycleConfigName :: Maybe Text
}
newStudioLifecycleConfigDetails :: StudioLifecycleConfigDetails
studioLifecycleConfigDetails_creationTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime)
studioLifecycleConfigDetails_lastModifiedTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime)
studioLifecycleConfigDetails_studioLifecycleConfigArn :: Lens' StudioLifecycleConfigDetails (Maybe Text)
studioLifecycleConfigDetails_studioLifecycleConfigAppType :: Lens' StudioLifecycleConfigDetails (Maybe StudioLifecycleConfigAppType)
studioLifecycleConfigDetails_studioLifecycleConfigName :: Lens' StudioLifecycleConfigDetails (Maybe Text)
data SubscribedWorkteam = SubscribedWorkteam' {
- marketplaceTitle :: Maybe Text
- sellerName :: Maybe Text
- listingId :: Maybe Text
- marketplaceDescription :: Maybe Text
- workteamArn :: Text
}
newSubscribedWorkteam :: Text -> SubscribedWorkteam
subscribedWorkteam_marketplaceTitle :: Lens' SubscribedWorkteam (Maybe Text)
subscribedWorkteam_sellerName :: Lens' SubscribedWorkteam (Maybe Text)
subscribedWorkteam_listingId :: Lens' SubscribedWorkteam (Maybe Text)
subscribedWorkteam_marketplaceDescription :: Lens' SubscribedWorkteam (Maybe Text)
subscribedWorkteam_workteamArn :: Lens' SubscribedWorkteam Text
data SuggestionQuery = SuggestionQuery' {
- propertyNameQuery :: Maybe PropertyNameQuery
}
newSuggestionQuery :: SuggestionQuery
suggestionQuery_propertyNameQuery :: Lens' SuggestionQuery (Maybe PropertyNameQuery)
data Tag = Tag' {
- key :: Text
- value :: Text
}
newTag :: Text -> Text -> Tag
tag_key :: Lens' Tag Text
tag_value :: Lens' Tag Text
data TargetPlatform = TargetPlatform' {
- accelerator :: Maybe TargetPlatformAccelerator
- os :: TargetPlatformOs
- arch :: TargetPlatformArch
}
newTargetPlatform :: TargetPlatformOs -> TargetPlatformArch -> TargetPlatform
targetPlatform_accelerator :: Lens' TargetPlatform (Maybe TargetPlatformAccelerator)
targetPlatform_os :: Lens' TargetPlatform TargetPlatformOs
targetPlatform_arch :: Lens' TargetPlatform TargetPlatformArch
data TensorBoardAppSettings = TensorBoardAppSettings' {
- defaultResourceSpec :: Maybe ResourceSpec
}
newTensorBoardAppSettings :: TensorBoardAppSettings
tensorBoardAppSettings_defaultResourceSpec :: Lens' TensorBoardAppSettings (Maybe ResourceSpec)
data TensorBoardOutputConfig = TensorBoardOutputConfig' {
- localPath :: Maybe Text
- s3OutputPath :: Text
}
newTensorBoardOutputConfig :: Text -> TensorBoardOutputConfig
tensorBoardOutputConfig_localPath :: Lens' TensorBoardOutputConfig (Maybe Text)
tensorBoardOutputConfig_s3OutputPath :: Lens' TensorBoardOutputConfig Text
data TrafficRoutingConfig = TrafficRoutingConfig' {
- canarySize :: Maybe CapacitySize
- type' :: TrafficRoutingConfigType
- waitIntervalInSeconds :: Natural
}
newTrafficRoutingConfig :: TrafficRoutingConfigType -> Natural -> TrafficRoutingConfig
trafficRoutingConfig_canarySize :: Lens' TrafficRoutingConfig (Maybe CapacitySize)
trafficRoutingConfig_type :: Lens' TrafficRoutingConfig TrafficRoutingConfigType
trafficRoutingConfig_waitIntervalInSeconds :: Lens' TrafficRoutingConfig Natural
data TrainingJob = TrainingJob' {
- creationTime :: Maybe POSIX
- labelingJobArn :: Maybe Text
- failureReason :: Maybe Text
- secondaryStatusTransitions :: Maybe [SecondaryStatusTransition]
- modelArtifacts :: Maybe ModelArtifacts
- trainingEndTime :: Maybe POSIX
- environment :: Maybe (HashMap Text Text)
- billableTimeInSeconds :: Maybe Natural
- debugHookConfig :: Maybe DebugHookConfig
- checkpointConfig :: Maybe CheckpointConfig
- retryStrategy :: Maybe RetryStrategy
- stoppingCondition :: Maybe StoppingCondition
- debugRuleEvaluationStatuses :: Maybe [DebugRuleEvaluationStatus]
- trainingJobStatus :: Maybe TrainingJobStatus
- enableNetworkIsolation :: Maybe Bool
- experimentConfig :: Maybe ExperimentConfig
- lastModifiedTime :: Maybe POSIX
- debugRuleConfigurations :: Maybe [DebugRuleConfiguration]
- enableManagedSpotTraining :: Maybe Bool
- autoMLJobArn :: Maybe Text
- hyperParameters :: Maybe (HashMap Text Text)
- inputDataConfig :: Maybe (NonEmpty Channel)
- vpcConfig :: Maybe VpcConfig
- trainingJobArn :: Maybe Text
- algorithmSpecification :: Maybe AlgorithmSpecification
- finalMetricDataList :: Maybe [MetricData]
- outputDataConfig :: Maybe OutputDataConfig
- trainingStartTime :: Maybe POSIX
- tuningJobArn :: Maybe Text
- trainingJobName :: Maybe Text
- resourceConfig :: Maybe ResourceConfig
- enableInterContainerTrafficEncryption :: Maybe Bool
- tensorBoardOutputConfig :: Maybe TensorBoardOutputConfig
- secondaryStatus :: Maybe SecondaryStatus
- tags :: Maybe [Tag]
- trainingTimeInSeconds :: Maybe Natural
- roleArn :: Maybe Text
}
newTrainingJob :: TrainingJob
trainingJob_creationTime :: Lens' TrainingJob (Maybe UTCTime)
trainingJob_labelingJobArn :: Lens' TrainingJob (Maybe Text)
trainingJob_failureReason :: Lens' TrainingJob (Maybe Text)
trainingJob_secondaryStatusTransitions :: Lens' TrainingJob (Maybe [SecondaryStatusTransition])
trainingJob_modelArtifacts :: Lens' TrainingJob (Maybe ModelArtifacts)
trainingJob_trainingEndTime :: Lens' TrainingJob (Maybe UTCTime)
trainingJob_environment :: Lens' TrainingJob (Maybe (HashMap Text Text))
trainingJob_billableTimeInSeconds :: Lens' TrainingJob (Maybe Natural)
trainingJob_debugHookConfig :: Lens' TrainingJob (Maybe DebugHookConfig)
trainingJob_checkpointConfig :: Lens' TrainingJob (Maybe CheckpointConfig)
trainingJob_retryStrategy :: Lens' TrainingJob (Maybe RetryStrategy)
trainingJob_stoppingCondition :: Lens' TrainingJob (Maybe StoppingCondition)
trainingJob_debugRuleEvaluationStatuses :: Lens' TrainingJob (Maybe [DebugRuleEvaluationStatus])
trainingJob_trainingJobStatus :: Lens' TrainingJob (Maybe TrainingJobStatus)
trainingJob_enableNetworkIsolation :: Lens' TrainingJob (Maybe Bool)
trainingJob_experimentConfig :: Lens' TrainingJob (Maybe ExperimentConfig)
trainingJob_lastModifiedTime :: Lens' TrainingJob (Maybe UTCTime)
trainingJob_debugRuleConfigurations :: Lens' TrainingJob (Maybe [DebugRuleConfiguration])
trainingJob_enableManagedSpotTraining :: Lens' TrainingJob (Maybe Bool)
trainingJob_autoMLJobArn :: Lens' TrainingJob (Maybe Text)
trainingJob_hyperParameters :: Lens' TrainingJob (Maybe (HashMap Text Text))
trainingJob_inputDataConfig :: Lens' TrainingJob (Maybe (NonEmpty Channel))
trainingJob_vpcConfig :: Lens' TrainingJob (Maybe VpcConfig)
trainingJob_trainingJobArn :: Lens' TrainingJob (Maybe Text)
trainingJob_algorithmSpecification :: Lens' TrainingJob (Maybe AlgorithmSpecification)
trainingJob_finalMetricDataList :: Lens' TrainingJob (Maybe [MetricData])
trainingJob_outputDataConfig :: Lens' TrainingJob (Maybe OutputDataConfig)
trainingJob_trainingStartTime :: Lens' TrainingJob (Maybe UTCTime)
trainingJob_tuningJobArn :: Lens' TrainingJob (Maybe Text)
trainingJob_trainingJobName :: Lens' TrainingJob (Maybe Text)
trainingJob_resourceConfig :: Lens' TrainingJob (Maybe ResourceConfig)
trainingJob_enableInterContainerTrafficEncryption :: Lens' TrainingJob (Maybe Bool)
trainingJob_tensorBoardOutputConfig :: Lens' TrainingJob (Maybe TensorBoardOutputConfig)
trainingJob_secondaryStatus :: Lens' TrainingJob (Maybe SecondaryStatus)
trainingJob_tags :: Lens' TrainingJob (Maybe [Tag])
trainingJob_trainingTimeInSeconds :: Lens' TrainingJob (Maybe Natural)
trainingJob_roleArn :: Lens' TrainingJob (Maybe Text)
data TrainingJobDefinition = TrainingJobDefinition' {
- hyperParameters :: Maybe (HashMap Text Text)
- trainingInputMode :: TrainingInputMode
- inputDataConfig :: NonEmpty Channel
- outputDataConfig :: OutputDataConfig
- resourceConfig :: ResourceConfig
- stoppingCondition :: StoppingCondition
}
newTrainingJobDefinition :: TrainingInputMode -> NonEmpty Channel -> OutputDataConfig -> ResourceConfig -> StoppingCondition -> TrainingJobDefinition
trainingJobDefinition_hyperParameters :: Lens' TrainingJobDefinition (Maybe (HashMap Text Text))
trainingJobDefinition_trainingInputMode :: Lens' TrainingJobDefinition TrainingInputMode
trainingJobDefinition_inputDataConfig :: Lens' TrainingJobDefinition (NonEmpty Channel)
trainingJobDefinition_outputDataConfig :: Lens' TrainingJobDefinition OutputDataConfig
trainingJobDefinition_resourceConfig :: Lens' TrainingJobDefinition ResourceConfig
trainingJobDefinition_stoppingCondition :: Lens' TrainingJobDefinition StoppingCondition
data TrainingJobStatusCounters = TrainingJobStatusCounters' {
- stopped :: Maybe Natural
- retryableError :: Maybe Natural
- inProgress :: Maybe Natural
- nonRetryableError :: Maybe Natural
- completed :: Maybe Natural
}
newTrainingJobStatusCounters :: TrainingJobStatusCounters
trainingJobStatusCounters_stopped :: Lens' TrainingJobStatusCounters (Maybe Natural)
trainingJobStatusCounters_retryableError :: Lens' TrainingJobStatusCounters (Maybe Natural)
trainingJobStatusCounters_inProgress :: Lens' TrainingJobStatusCounters (Maybe Natural)
trainingJobStatusCounters_nonRetryableError :: Lens' TrainingJobStatusCounters (Maybe Natural)
trainingJobStatusCounters_completed :: Lens' TrainingJobStatusCounters (Maybe Natural)
data TrainingJobStepMetadata = TrainingJobStepMetadata' {
- arn :: Maybe Text
}
newTrainingJobStepMetadata :: TrainingJobStepMetadata
trainingJobStepMetadata_arn :: Lens' TrainingJobStepMetadata (Maybe Text)
data TrainingJobSummary = TrainingJobSummary' {
- trainingEndTime :: Maybe POSIX
- lastModifiedTime :: Maybe POSIX
- trainingJobName :: Text
- trainingJobArn :: Text
- creationTime :: POSIX
- trainingJobStatus :: TrainingJobStatus
}
newTrainingJobSummary :: Text -> Text -> UTCTime -> TrainingJobStatus -> TrainingJobSummary
trainingJobSummary_trainingEndTime :: Lens' TrainingJobSummary (Maybe UTCTime)
trainingJobSummary_lastModifiedTime :: Lens' TrainingJobSummary (Maybe UTCTime)
trainingJobSummary_trainingJobName :: Lens' TrainingJobSummary Text
trainingJobSummary_trainingJobArn :: Lens' TrainingJobSummary Text
trainingJobSummary_creationTime :: Lens' TrainingJobSummary UTCTime
trainingJobSummary_trainingJobStatus :: Lens' TrainingJobSummary TrainingJobStatus
data TrainingSpecification = TrainingSpecification' {
- trainingImageDigest :: Maybe Text
- supportsDistributedTraining :: Maybe Bool
- supportedHyperParameters :: Maybe [HyperParameterSpecification]
- supportedTuningJobObjectiveMetrics :: Maybe [HyperParameterTuningJobObjective]
- metricDefinitions :: Maybe [MetricDefinition]
- trainingImage :: Text
- supportedTrainingInstanceTypes :: [TrainingInstanceType]
- trainingChannels :: NonEmpty ChannelSpecification
}
newTrainingSpecification :: Text -> NonEmpty ChannelSpecification -> TrainingSpecification
trainingSpecification_trainingImageDigest :: Lens' TrainingSpecification (Maybe Text)
trainingSpecification_supportsDistributedTraining :: Lens' TrainingSpecification (Maybe Bool)
trainingSpecification_supportedHyperParameters :: Lens' TrainingSpecification (Maybe [HyperParameterSpecification])
trainingSpecification_supportedTuningJobObjectiveMetrics :: Lens' TrainingSpecification (Maybe [HyperParameterTuningJobObjective])
trainingSpecification_metricDefinitions :: Lens' TrainingSpecification (Maybe [MetricDefinition])
trainingSpecification_trainingImage :: Lens' TrainingSpecification Text
trainingSpecification_supportedTrainingInstanceTypes :: Lens' TrainingSpecification [TrainingInstanceType]
trainingSpecification_trainingChannels :: Lens' TrainingSpecification (NonEmpty ChannelSpecification)
data TransformDataSource = TransformDataSource' {
- s3DataSource :: TransformS3DataSource
}
newTransformDataSource :: TransformS3DataSource -> TransformDataSource
transformDataSource_s3DataSource :: Lens' TransformDataSource TransformS3DataSource
data TransformInput = TransformInput' {
- splitType :: Maybe SplitType
- compressionType :: Maybe CompressionType
- contentType :: Maybe Text
- dataSource :: TransformDataSource
}
newTransformInput :: TransformDataSource -> TransformInput
transformInput_splitType :: Lens' TransformInput (Maybe SplitType)
transformInput_compressionType :: Lens' TransformInput (Maybe CompressionType)
transformInput_contentType :: Lens' TransformInput (Maybe Text)
transformInput_dataSource :: Lens' TransformInput TransformDataSource
data TransformJob = TransformJob' {
- creationTime :: Maybe POSIX
- labelingJobArn :: Maybe Text
- transformJobName :: Maybe Text
- failureReason :: Maybe Text
- modelClientConfig :: Maybe ModelClientConfig
- batchStrategy :: Maybe BatchStrategy
- maxPayloadInMB :: Maybe Natural
- environment :: Maybe (HashMap Text Text)
- transformResources :: Maybe TransformResources
- modelName :: Maybe Text
- experimentConfig :: Maybe ExperimentConfig
- transformEndTime :: Maybe POSIX
- transformStartTime :: Maybe POSIX
- autoMLJobArn :: Maybe Text
- transformJobStatus :: Maybe TransformJobStatus
- transformInput :: Maybe TransformInput
- maxConcurrentTransforms :: Maybe Natural
- transformOutput :: Maybe TransformOutput
- dataProcessing :: Maybe DataProcessing
- transformJobArn :: Maybe Text
- tags :: Maybe [Tag]
}
newTransformJob :: TransformJob
transformJob_creationTime :: Lens' TransformJob (Maybe UTCTime)
transformJob_labelingJobArn :: Lens' TransformJob (Maybe Text)
transformJob_transformJobName :: Lens' TransformJob (Maybe Text)
transformJob_failureReason :: Lens' TransformJob (Maybe Text)
transformJob_modelClientConfig :: Lens' TransformJob (Maybe ModelClientConfig)
transformJob_batchStrategy :: Lens' TransformJob (Maybe BatchStrategy)
transformJob_maxPayloadInMB :: Lens' TransformJob (Maybe Natural)
transformJob_environment :: Lens' TransformJob (Maybe (HashMap Text Text))
transformJob_transformResources :: Lens' TransformJob (Maybe TransformResources)
transformJob_modelName :: Lens' TransformJob (Maybe Text)
transformJob_experimentConfig :: Lens' TransformJob (Maybe ExperimentConfig)
transformJob_transformEndTime :: Lens' TransformJob (Maybe UTCTime)
transformJob_transformStartTime :: Lens' TransformJob (Maybe UTCTime)
transformJob_autoMLJobArn :: Lens' TransformJob (Maybe Text)
transformJob_transformJobStatus :: Lens' TransformJob (Maybe TransformJobStatus)
transformJob_transformInput :: Lens' TransformJob (Maybe TransformInput)
transformJob_maxConcurrentTransforms :: Lens' TransformJob (Maybe Natural)
transformJob_transformOutput :: Lens' TransformJob (Maybe TransformOutput)
transformJob_dataProcessing :: Lens' TransformJob (Maybe DataProcessing)
transformJob_transformJobArn :: Lens' TransformJob (Maybe Text)
transformJob_tags :: Lens' TransformJob (Maybe [Tag])
data TransformJobDefinition = TransformJobDefinition' {
- batchStrategy :: Maybe BatchStrategy
- maxPayloadInMB :: Maybe Natural
- environment :: Maybe (HashMap Text Text)
- maxConcurrentTransforms :: Maybe Natural
- transformInput :: TransformInput
- transformOutput :: TransformOutput
- transformResources :: TransformResources
}
newTransformJobDefinition :: TransformInput -> TransformOutput -> TransformResources -> TransformJobDefinition
transformJobDefinition_batchStrategy :: Lens' TransformJobDefinition (Maybe BatchStrategy)
transformJobDefinition_maxPayloadInMB :: Lens' TransformJobDefinition (Maybe Natural)
transformJobDefinition_environment :: Lens' TransformJobDefinition (Maybe (HashMap Text Text))
transformJobDefinition_maxConcurrentTransforms :: Lens' TransformJobDefinition (Maybe Natural)
transformJobDefinition_transformInput :: Lens' TransformJobDefinition TransformInput
transformJobDefinition_transformOutput :: Lens' TransformJobDefinition TransformOutput
transformJobDefinition_transformResources :: Lens' TransformJobDefinition TransformResources
data TransformJobStepMetadata = TransformJobStepMetadata' {
- arn :: Maybe Text
}
newTransformJobStepMetadata :: TransformJobStepMetadata
transformJobStepMetadata_arn :: Lens' TransformJobStepMetadata (Maybe Text)
data TransformJobSummary = TransformJobSummary' {
- failureReason :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- transformEndTime :: Maybe POSIX
- transformJobName :: Text
- transformJobArn :: Text
- creationTime :: POSIX
- transformJobStatus :: TransformJobStatus
}
newTransformJobSummary :: Text -> Text -> UTCTime -> TransformJobStatus -> TransformJobSummary
transformJobSummary_failureReason :: Lens' TransformJobSummary (Maybe Text)
transformJobSummary_lastModifiedTime :: Lens' TransformJobSummary (Maybe UTCTime)
transformJobSummary_transformEndTime :: Lens' TransformJobSummary (Maybe UTCTime)
transformJobSummary_transformJobName :: Lens' TransformJobSummary Text
transformJobSummary_transformJobArn :: Lens' TransformJobSummary Text
transformJobSummary_creationTime :: Lens' TransformJobSummary UTCTime
transformJobSummary_transformJobStatus :: Lens' TransformJobSummary TransformJobStatus
data TransformOutput = TransformOutput' {
- assembleWith :: Maybe AssemblyType
- accept :: Maybe Text
- kmsKeyId :: Maybe Text
- s3OutputPath :: Text
}
newTransformOutput :: Text -> TransformOutput
transformOutput_assembleWith :: Lens' TransformOutput (Maybe AssemblyType)
transformOutput_accept :: Lens' TransformOutput (Maybe Text)
transformOutput_kmsKeyId :: Lens' TransformOutput (Maybe Text)
transformOutput_s3OutputPath :: Lens' TransformOutput Text
data TransformResources = TransformResources' {
- volumeKmsKeyId :: Maybe Text
- instanceType :: TransformInstanceType
- instanceCount :: Natural
}
newTransformResources :: TransformInstanceType -> Natural -> TransformResources
transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text)
transformResources_instanceType :: Lens' TransformResources TransformInstanceType
transformResources_instanceCount :: Lens' TransformResources Natural
data TransformS3DataSource = TransformS3DataSource' {
- s3DataType :: S3DataType
- s3Uri :: Text
}
newTransformS3DataSource :: S3DataType -> Text -> TransformS3DataSource
transformS3DataSource_s3DataType :: Lens' TransformS3DataSource S3DataType
transformS3DataSource_s3Uri :: Lens' TransformS3DataSource Text
data Trial = Trial' {
- creationTime :: Maybe POSIX
- metadataProperties :: Maybe MetadataProperties
- trialComponentSummaries :: Maybe [TrialComponentSimpleSummary]
- trialArn :: Maybe Text
- createdBy :: Maybe UserContext
- lastModifiedTime :: Maybe POSIX
- experimentName :: Maybe Text
- source :: Maybe TrialSource
- displayName :: Maybe Text
- trialName :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- tags :: Maybe [Tag]
}
newTrial :: Trial
trial_creationTime :: Lens' Trial (Maybe UTCTime)
trial_metadataProperties :: Lens' Trial (Maybe MetadataProperties)
trial_trialComponentSummaries :: Lens' Trial (Maybe [TrialComponentSimpleSummary])
trial_trialArn :: Lens' Trial (Maybe Text)
trial_createdBy :: Lens' Trial (Maybe UserContext)
trial_lastModifiedTime :: Lens' Trial (Maybe UTCTime)
trial_experimentName :: Lens' Trial (Maybe Text)
trial_source :: Lens' Trial (Maybe TrialSource)
trial_displayName :: Lens' Trial (Maybe Text)
trial_trialName :: Lens' Trial (Maybe Text)
trial_lastModifiedBy :: Lens' Trial (Maybe UserContext)
trial_tags :: Lens' Trial (Maybe [Tag])
data TrialComponent = TrialComponent' {
- creationTime :: Maybe POSIX
- metadataProperties :: Maybe MetadataProperties
- status :: Maybe TrialComponentStatus
- sourceDetail :: Maybe TrialComponentSourceDetail
- metrics :: Maybe [TrialComponentMetricSummary]
- outputArtifacts :: Maybe (HashMap Text TrialComponentArtifact)
- startTime :: Maybe POSIX
- createdBy :: Maybe UserContext
- lastModifiedTime :: Maybe POSIX
- parents :: Maybe [Parent]
- endTime :: Maybe POSIX
- trialComponentName :: Maybe Text
- parameters :: Maybe (HashMap Text TrialComponentParameterValue)
- source :: Maybe TrialComponentSource
- displayName :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- trialComponentArn :: Maybe Text
- inputArtifacts :: Maybe (HashMap Text TrialComponentArtifact)
- tags :: Maybe [Tag]
}
newTrialComponent :: TrialComponent
trialComponent_creationTime :: Lens' TrialComponent (Maybe UTCTime)
trialComponent_metadataProperties :: Lens' TrialComponent (Maybe MetadataProperties)
trialComponent_status :: Lens' TrialComponent (Maybe TrialComponentStatus)
trialComponent_sourceDetail :: Lens' TrialComponent (Maybe TrialComponentSourceDetail)
trialComponent_metrics :: Lens' TrialComponent (Maybe [TrialComponentMetricSummary])
trialComponent_outputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact))
trialComponent_startTime :: Lens' TrialComponent (Maybe UTCTime)
trialComponent_createdBy :: Lens' TrialComponent (Maybe UserContext)
trialComponent_lastModifiedTime :: Lens' TrialComponent (Maybe UTCTime)
trialComponent_parents :: Lens' TrialComponent (Maybe [Parent])
trialComponent_endTime :: Lens' TrialComponent (Maybe UTCTime)
trialComponent_trialComponentName :: Lens' TrialComponent (Maybe Text)
trialComponent_parameters :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentParameterValue))
trialComponent_source :: Lens' TrialComponent (Maybe TrialComponentSource)
trialComponent_displayName :: Lens' TrialComponent (Maybe Text)
trialComponent_lastModifiedBy :: Lens' TrialComponent (Maybe UserContext)
trialComponent_trialComponentArn :: Lens' TrialComponent (Maybe Text)
trialComponent_inputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact))
trialComponent_tags :: Lens' TrialComponent (Maybe [Tag])
data TrialComponentArtifact = TrialComponentArtifact' {
- mediaType :: Maybe Text
- value :: Text
}
newTrialComponentArtifact :: Text -> TrialComponentArtifact
trialComponentArtifact_mediaType :: Lens' TrialComponentArtifact (Maybe Text)
trialComponentArtifact_value :: Lens' TrialComponentArtifact Text
data TrialComponentMetricSummary = TrialComponentMetricSummary' {
- max :: Maybe Double
- sourceArn :: Maybe Text
- avg :: Maybe Double
- count :: Maybe Int
- metricName :: Maybe Text
- stdDev :: Maybe Double
- min :: Maybe Double
- last :: Maybe Double
- timeStamp :: Maybe POSIX
}
newTrialComponentMetricSummary :: TrialComponentMetricSummary
trialComponentMetricSummary_max :: Lens' TrialComponentMetricSummary (Maybe Double)
trialComponentMetricSummary_sourceArn :: Lens' TrialComponentMetricSummary (Maybe Text)
trialComponentMetricSummary_avg :: Lens' TrialComponentMetricSummary (Maybe Double)
trialComponentMetricSummary_count :: Lens' TrialComponentMetricSummary (Maybe Int)
trialComponentMetricSummary_metricName :: Lens' TrialComponentMetricSummary (Maybe Text)
trialComponentMetricSummary_stdDev :: Lens' TrialComponentMetricSummary (Maybe Double)
trialComponentMetricSummary_min :: Lens' TrialComponentMetricSummary (Maybe Double)
trialComponentMetricSummary_last :: Lens' TrialComponentMetricSummary (Maybe Double)
trialComponentMetricSummary_timeStamp :: Lens' TrialComponentMetricSummary (Maybe UTCTime)
data TrialComponentParameterValue = TrialComponentParameterValue' {
- numberValue :: Maybe Double
- stringValue :: Maybe Text
}
newTrialComponentParameterValue :: TrialComponentParameterValue
trialComponentParameterValue_numberValue :: Lens' TrialComponentParameterValue (Maybe Double)
trialComponentParameterValue_stringValue :: Lens' TrialComponentParameterValue (Maybe Text)
data TrialComponentSimpleSummary = TrialComponentSimpleSummary' {
- creationTime :: Maybe POSIX
- createdBy :: Maybe UserContext
- trialComponentName :: Maybe Text
- trialComponentArn :: Maybe Text
- trialComponentSource :: Maybe TrialComponentSource
}
newTrialComponentSimpleSummary :: TrialComponentSimpleSummary
trialComponentSimpleSummary_creationTime :: Lens' TrialComponentSimpleSummary (Maybe UTCTime)
trialComponentSimpleSummary_createdBy :: Lens' TrialComponentSimpleSummary (Maybe UserContext)
trialComponentSimpleSummary_trialComponentName :: Lens' TrialComponentSimpleSummary (Maybe Text)
trialComponentSimpleSummary_trialComponentArn :: Lens' TrialComponentSimpleSummary (Maybe Text)
trialComponentSimpleSummary_trialComponentSource :: Lens' TrialComponentSimpleSummary (Maybe TrialComponentSource)
data TrialComponentSource = TrialComponentSource' {
- sourceType :: Maybe Text
- sourceArn :: Text
}
newTrialComponentSource :: Text -> TrialComponentSource
trialComponentSource_sourceType :: Lens' TrialComponentSource (Maybe Text)
trialComponentSource_sourceArn :: Lens' TrialComponentSource Text
data TrialComponentSourceDetail = TrialComponentSourceDetail' {
- trainingJob :: Maybe TrainingJob
- sourceArn :: Maybe Text
- processingJob :: Maybe ProcessingJob
- transformJob :: Maybe TransformJob
}
newTrialComponentSourceDetail :: TrialComponentSourceDetail
trialComponentSourceDetail_trainingJob :: Lens' TrialComponentSourceDetail (Maybe TrainingJob)
trialComponentSourceDetail_sourceArn :: Lens' TrialComponentSourceDetail (Maybe Text)
trialComponentSourceDetail_processingJob :: Lens' TrialComponentSourceDetail (Maybe ProcessingJob)
trialComponentSourceDetail_transformJob :: Lens' TrialComponentSourceDetail (Maybe TransformJob)
data TrialComponentStatus = TrialComponentStatus' {
- primaryStatus :: Maybe TrialComponentPrimaryStatus
- message :: Maybe Text
}
newTrialComponentStatus :: TrialComponentStatus
trialComponentStatus_primaryStatus :: Lens' TrialComponentStatus (Maybe TrialComponentPrimaryStatus)
trialComponentStatus_message :: Lens' TrialComponentStatus (Maybe Text)
data TrialComponentSummary = TrialComponentSummary' {
- creationTime :: Maybe POSIX
- status :: Maybe TrialComponentStatus
- startTime :: Maybe POSIX
- createdBy :: Maybe UserContext
- lastModifiedTime :: Maybe POSIX
- endTime :: Maybe POSIX
- trialComponentName :: Maybe Text
- displayName :: Maybe Text
- lastModifiedBy :: Maybe UserContext
- trialComponentArn :: Maybe Text
- trialComponentSource :: Maybe TrialComponentSource
}
newTrialComponentSummary :: TrialComponentSummary
trialComponentSummary_creationTime :: Lens' TrialComponentSummary (Maybe UTCTime)
trialComponentSummary_status :: Lens' TrialComponentSummary (Maybe TrialComponentStatus)
trialComponentSummary_startTime :: Lens' TrialComponentSummary (Maybe UTCTime)
trialComponentSummary_createdBy :: Lens' TrialComponentSummary (Maybe UserContext)
trialComponentSummary_lastModifiedTime :: Lens' TrialComponentSummary (Maybe UTCTime)
trialComponentSummary_endTime :: Lens' TrialComponentSummary (Maybe UTCTime)
trialComponentSummary_trialComponentName :: Lens' TrialComponentSummary (Maybe Text)
trialComponentSummary_displayName :: Lens' TrialComponentSummary (Maybe Text)
trialComponentSummary_lastModifiedBy :: Lens' TrialComponentSummary (Maybe UserContext)
trialComponentSummary_trialComponentArn :: Lens' TrialComponentSummary (Maybe Text)
trialComponentSummary_trialComponentSource :: Lens' TrialComponentSummary (Maybe TrialComponentSource)
data TrialSource = TrialSource' {
- sourceType :: Maybe Text
- sourceArn :: Text
}
newTrialSource :: Text -> TrialSource
trialSource_sourceType :: Lens' TrialSource (Maybe Text)
trialSource_sourceArn :: Lens' TrialSource Text
data TrialSummary = TrialSummary' {
- creationTime :: Maybe POSIX
- trialArn :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- trialSource :: Maybe TrialSource
- displayName :: Maybe Text
- trialName :: Maybe Text
}
newTrialSummary :: TrialSummary
trialSummary_creationTime :: Lens' TrialSummary (Maybe UTCTime)
trialSummary_trialArn :: Lens' TrialSummary (Maybe Text)
trialSummary_lastModifiedTime :: Lens' TrialSummary (Maybe UTCTime)
trialSummary_trialSource :: Lens' TrialSummary (Maybe TrialSource)
trialSummary_displayName :: Lens' TrialSummary (Maybe Text)
trialSummary_trialName :: Lens' TrialSummary (Maybe Text)
data TuningJobCompletionCriteria = TuningJobCompletionCriteria' {
- targetObjectiveMetricValue :: Double
}
newTuningJobCompletionCriteria :: Double -> TuningJobCompletionCriteria
tuningJobCompletionCriteria_targetObjectiveMetricValue :: Lens' TuningJobCompletionCriteria Double
data TuningJobStepMetaData = TuningJobStepMetaData' {
- arn :: Maybe Text
}
newTuningJobStepMetaData :: TuningJobStepMetaData
tuningJobStepMetaData_arn :: Lens' TuningJobStepMetaData (Maybe Text)
data USD = USD' {
- cents :: Maybe Natural
- dollars :: Maybe Natural
- tenthFractionsOfACent :: Maybe Natural
}
newUSD :: USD
usd_cents :: Lens' USD (Maybe Natural)
usd_dollars :: Lens' USD (Maybe Natural)
usd_tenthFractionsOfACent :: Lens' USD (Maybe Natural)
data UiConfig = UiConfig' {
- uiTemplateS3Uri :: Maybe Text
- humanTaskUiArn :: Maybe Text
}
newUiConfig :: UiConfig
uiConfig_uiTemplateS3Uri :: Lens' UiConfig (Maybe Text)
uiConfig_humanTaskUiArn :: Lens' UiConfig (Maybe Text)
data UiTemplate = UiTemplate' {
- content :: Text
}
newUiTemplate :: Text -> UiTemplate
uiTemplate_content :: Lens' UiTemplate Text
data UiTemplateInfo = UiTemplateInfo' {
- url :: Maybe Text
- contentSha256 :: Maybe Text
}
newUiTemplateInfo :: UiTemplateInfo
uiTemplateInfo_url :: Lens' UiTemplateInfo (Maybe Text)
uiTemplateInfo_contentSha256 :: Lens' UiTemplateInfo (Maybe Text)
data UserContext = UserContext' {
- userProfileName :: Maybe Text
- userProfileArn :: Maybe Text
- domainId :: Maybe Text
}
newUserContext :: UserContext
userContext_userProfileName :: Lens' UserContext (Maybe Text)
userContext_userProfileArn :: Lens' UserContext (Maybe Text)
userContext_domainId :: Lens' UserContext (Maybe Text)
data UserProfileDetails = UserProfileDetails' {
- creationTime :: Maybe POSIX
- status :: Maybe UserProfileStatus
- userProfileName :: Maybe Text
- lastModifiedTime :: Maybe POSIX
- domainId :: Maybe Text
}
newUserProfileDetails :: UserProfileDetails
userProfileDetails_creationTime :: Lens' UserProfileDetails (Maybe UTCTime)
userProfileDetails_status :: Lens' UserProfileDetails (Maybe UserProfileStatus)
userProfileDetails_userProfileName :: Lens' UserProfileDetails (Maybe Text)
userProfileDetails_lastModifiedTime :: Lens' UserProfileDetails (Maybe UTCTime)
userProfileDetails_domainId :: Lens' UserProfileDetails (Maybe Text)
data UserSettings = UserSettings' {
- tensorBoardAppSettings :: Maybe TensorBoardAppSettings
- kernelGatewayAppSettings :: Maybe KernelGatewayAppSettings
- securityGroups :: Maybe [Text]
- jupyterServerAppSettings :: Maybe JupyterServerAppSettings
- sharingSettings :: Maybe SharingSettings
- executionRole :: Maybe Text
}
newUserSettings :: UserSettings
userSettings_tensorBoardAppSettings :: Lens' UserSettings (Maybe TensorBoardAppSettings)
userSettings_kernelGatewayAppSettings :: Lens' UserSettings (Maybe KernelGatewayAppSettings)
userSettings_securityGroups :: Lens' UserSettings (Maybe [Text])
userSettings_jupyterServerAppSettings :: Lens' UserSettings (Maybe JupyterServerAppSettings)
userSettings_sharingSettings :: Lens' UserSettings (Maybe SharingSettings)
userSettings_executionRole :: Lens' UserSettings (Maybe Text)
data VariantProperty = VariantProperty' {
- variantPropertyType :: VariantPropertyType
}
newVariantProperty :: VariantPropertyType -> VariantProperty
variantProperty_variantPropertyType :: Lens' VariantProperty VariantPropertyType
data VpcConfig = VpcConfig' {
- securityGroupIds :: NonEmpty Text
- subnets :: NonEmpty Text
}
newVpcConfig :: NonEmpty Text -> NonEmpty Text -> VpcConfig
vpcConfig_securityGroupIds :: Lens' VpcConfig (NonEmpty Text)
vpcConfig_subnets :: Lens' VpcConfig (NonEmpty Text)
data Workforce = Workforce' {
- subDomain :: Maybe Text
- createDate :: Maybe POSIX
- sourceIpConfig :: Maybe SourceIpConfig
- cognitoConfig :: Maybe CognitoConfig
- lastUpdatedDate :: Maybe POSIX
- oidcConfig :: Maybe OidcConfigForResponse
- workforceName :: Text
- workforceArn :: Text
}
newWorkforce :: Text -> Text -> Workforce
workforce_subDomain :: Lens' Workforce (Maybe Text)
workforce_createDate :: Lens' Workforce (Maybe UTCTime)
workforce_sourceIpConfig :: Lens' Workforce (Maybe SourceIpConfig)
workforce_cognitoConfig :: Lens' Workforce (Maybe CognitoConfig)
workforce_lastUpdatedDate :: Lens' Workforce (Maybe UTCTime)
workforce_oidcConfig :: Lens' Workforce (Maybe OidcConfigForResponse)
workforce_workforceName :: Lens' Workforce Text
workforce_workforceArn :: Lens' Workforce Text
data Workteam = Workteam' {
- subDomain :: Maybe Text
- productListingIds :: Maybe [Text]
- notificationConfiguration :: Maybe NotificationConfiguration
- createDate :: Maybe POSIX
- workforceArn :: Maybe Text
- lastUpdatedDate :: Maybe POSIX
- workteamName :: Text
- memberDefinitions :: NonEmpty MemberDefinition
- workteamArn :: Text
- description :: Text
}
newWorkteam :: Text -> NonEmpty MemberDefinition -> Text -> Text -> Workteam
workteam_subDomain :: Lens' Workteam (Maybe Text)
workteam_productListingIds :: Lens' Workteam (Maybe [Text])
workteam_notificationConfiguration :: Lens' Workteam (Maybe NotificationConfiguration)
workteam_createDate :: Lens' Workteam (Maybe UTCTime)
workteam_workforceArn :: Lens' Workteam (Maybe Text)
workteam_lastUpdatedDate :: Lens' Workteam (Maybe UTCTime)
workteam_workteamName :: Lens' Workteam Text
workteam_memberDefinitions :: Lens' Workteam (NonEmpty MemberDefinition)
workteam_workteamArn :: Lens' Workteam Text
workteam_description :: Lens' Workteam Text

Service Configuration

defaultService :: Service Source #

API version 2017-07-24 of the Amazon SageMaker Service SDK configuration.

Errors

_ResourceLimitExceeded :: AsError a => Getting (First ServiceError) a ServiceError Source #

You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

_ResourceInUse :: AsError a => Getting (First ServiceError) a ServiceError Source #

Resource being accessed is in use.

_ConflictException :: AsError a => Getting (First ServiceError) a ServiceError Source #

There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

_ResourceNotFound :: AsError a => Getting (First ServiceError) a ServiceError Source #

Resource being access is not found.

ActionStatus

newtype ActionStatus Source #

Constructors

ActionStatus'
Fields fromActionStatus :: Text

Bundled Patterns

pattern ActionStatus_Completed :: ActionStatus
pattern ActionStatus_Failed :: ActionStatus
pattern ActionStatus_InProgress :: ActionStatus
pattern ActionStatus_Stopped :: ActionStatus
pattern ActionStatus_Stopping :: ActionStatus
pattern ActionStatus_Unknown :: ActionStatus

Instances

Instances details

Eq ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods (==) :: ActionStatus -> ActionStatus -> Bool # (/=) :: ActionStatus -> ActionStatus -> Bool #
Ord ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods compare :: ActionStatus -> ActionStatus -> Ordering # (<) :: ActionStatus -> ActionStatus -> Bool # (<=) :: ActionStatus -> ActionStatus -> Bool # (>) :: ActionStatus -> ActionStatus -> Bool # (>=) :: ActionStatus -> ActionStatus -> Bool # max :: ActionStatus -> ActionStatus -> ActionStatus # min :: ActionStatus -> ActionStatus -> ActionStatus #
Read ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods readsPrec :: Int -> ReadS ActionStatus # readList :: ReadS [ActionStatus] # readPrec :: ReadPrec ActionStatus # readListPrec :: ReadPrec [ActionStatus] #
Show ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods showsPrec :: Int -> ActionStatus -> ShowS # show :: ActionStatus -> String # showList :: [ActionStatus] -> ShowS #
Generic ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Associated Types type Rep ActionStatus :: Type -> Type # Methods from :: ActionStatus -> Rep ActionStatus x # to :: Rep ActionStatus x -> ActionStatus #
NFData ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods rnf :: ActionStatus -> () #
Hashable ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods hashWithSalt :: Int -> ActionStatus -> Int # hash :: ActionStatus -> Int #
ToJSON ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toJSON :: ActionStatus -> Value # toEncoding :: ActionStatus -> Encoding # toJSONList :: [ActionStatus] -> Value # toEncodingList :: [ActionStatus] -> Encoding #
ToJSONKey ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toJSONKey :: ToJSONKeyFunction ActionStatus # toJSONKeyList :: ToJSONKeyFunction [ActionStatus] #
FromJSON ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods parseJSON :: Value -> Parser ActionStatus # parseJSONList :: Value -> Parser [ActionStatus] #
FromJSONKey ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods fromJSONKey :: FromJSONKeyFunction ActionStatus # fromJSONKeyList :: FromJSONKeyFunction [ActionStatus] #
ToLog ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods build :: ActionStatus -> ByteStringBuilder #
ToHeader ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toHeader :: HeaderName -> ActionStatus -> [Header] #
ToQuery ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toQuery :: ActionStatus -> QueryString #
FromXML ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods parseXML :: [Node] -> Either String ActionStatus #
ToXML ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toXML :: ActionStatus -> XML #
ToByteString ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toBS :: ActionStatus -> ByteString #
FromText ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods fromText :: Text -> Either String ActionStatus #
ToText ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus Methods toText :: ActionStatus -> Text #
type Rep ActionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionStatus type Rep ActionStatus = D1 ('MetaData "ActionStatus" "Amazonka.SageMaker.Types.ActionStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ActionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromActionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AlgorithmSortBy

newtype AlgorithmSortBy Source #

Constructors

AlgorithmSortBy'
Fields fromAlgorithmSortBy :: Text

Bundled Patterns

pattern AlgorithmSortBy_CreationTime :: AlgorithmSortBy
pattern AlgorithmSortBy_Name :: AlgorithmSortBy

Instances

Instances details

Eq AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods (==) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool # (/=) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #
Ord AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods compare :: AlgorithmSortBy -> AlgorithmSortBy -> Ordering # (<) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool # (<=) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool # (>) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool # (>=) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool # max :: AlgorithmSortBy -> AlgorithmSortBy -> AlgorithmSortBy # min :: AlgorithmSortBy -> AlgorithmSortBy -> AlgorithmSortBy #
Read AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods readsPrec :: Int -> ReadS AlgorithmSortBy # readList :: ReadS [AlgorithmSortBy] # readPrec :: ReadPrec AlgorithmSortBy # readListPrec :: ReadPrec [AlgorithmSortBy] #
Show AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods showsPrec :: Int -> AlgorithmSortBy -> ShowS # show :: AlgorithmSortBy -> String # showList :: [AlgorithmSortBy] -> ShowS #
Generic AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Associated Types type Rep AlgorithmSortBy :: Type -> Type # Methods from :: AlgorithmSortBy -> Rep AlgorithmSortBy x # to :: Rep AlgorithmSortBy x -> AlgorithmSortBy #
NFData AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods rnf :: AlgorithmSortBy -> () #
Hashable AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods hashWithSalt :: Int -> AlgorithmSortBy -> Int # hash :: AlgorithmSortBy -> Int #
ToJSON AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toJSON :: AlgorithmSortBy -> Value # toEncoding :: AlgorithmSortBy -> Encoding # toJSONList :: [AlgorithmSortBy] -> Value # toEncodingList :: [AlgorithmSortBy] -> Encoding #
ToJSONKey AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toJSONKey :: ToJSONKeyFunction AlgorithmSortBy # toJSONKeyList :: ToJSONKeyFunction [AlgorithmSortBy] #
FromJSON AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods parseJSON :: Value -> Parser AlgorithmSortBy # parseJSONList :: Value -> Parser [AlgorithmSortBy] #
FromJSONKey AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods fromJSONKey :: FromJSONKeyFunction AlgorithmSortBy # fromJSONKeyList :: FromJSONKeyFunction [AlgorithmSortBy] #
ToLog AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods build :: AlgorithmSortBy -> ByteStringBuilder #
ToHeader AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toHeader :: HeaderName -> AlgorithmSortBy -> [Header] #
ToQuery AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toQuery :: AlgorithmSortBy -> QueryString #
FromXML AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods parseXML :: [Node] -> Either String AlgorithmSortBy #
ToXML AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toXML :: AlgorithmSortBy -> XML #
ToByteString AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toBS :: AlgorithmSortBy -> ByteString #
FromText AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods fromText :: Text -> Either String AlgorithmSortBy #
ToText AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy Methods toText :: AlgorithmSortBy -> Text #
type Rep AlgorithmSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSortBy type Rep AlgorithmSortBy = D1 ('MetaData "AlgorithmSortBy" "Amazonka.SageMaker.Types.AlgorithmSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AlgorithmSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAlgorithmSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AlgorithmStatus

newtype AlgorithmStatus Source #

Constructors

AlgorithmStatus'
Fields fromAlgorithmStatus :: Text

Bundled Patterns

pattern AlgorithmStatus_Completed :: AlgorithmStatus
pattern AlgorithmStatus_Deleting :: AlgorithmStatus
pattern AlgorithmStatus_Failed :: AlgorithmStatus
pattern AlgorithmStatus_InProgress :: AlgorithmStatus
pattern AlgorithmStatus_Pending :: AlgorithmStatus

Instances

Instances details

Eq AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods (==) :: AlgorithmStatus -> AlgorithmStatus -> Bool # (/=) :: AlgorithmStatus -> AlgorithmStatus -> Bool #
Ord AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods compare :: AlgorithmStatus -> AlgorithmStatus -> Ordering # (<) :: AlgorithmStatus -> AlgorithmStatus -> Bool # (<=) :: AlgorithmStatus -> AlgorithmStatus -> Bool # (>) :: AlgorithmStatus -> AlgorithmStatus -> Bool # (>=) :: AlgorithmStatus -> AlgorithmStatus -> Bool # max :: AlgorithmStatus -> AlgorithmStatus -> AlgorithmStatus # min :: AlgorithmStatus -> AlgorithmStatus -> AlgorithmStatus #
Read AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods readsPrec :: Int -> ReadS AlgorithmStatus # readList :: ReadS [AlgorithmStatus] # readPrec :: ReadPrec AlgorithmStatus # readListPrec :: ReadPrec [AlgorithmStatus] #
Show AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods showsPrec :: Int -> AlgorithmStatus -> ShowS # show :: AlgorithmStatus -> String # showList :: [AlgorithmStatus] -> ShowS #
Generic AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Associated Types type Rep AlgorithmStatus :: Type -> Type # Methods from :: AlgorithmStatus -> Rep AlgorithmStatus x # to :: Rep AlgorithmStatus x -> AlgorithmStatus #
NFData AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods rnf :: AlgorithmStatus -> () #
Hashable AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods hashWithSalt :: Int -> AlgorithmStatus -> Int # hash :: AlgorithmStatus -> Int #
ToJSON AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toJSON :: AlgorithmStatus -> Value # toEncoding :: AlgorithmStatus -> Encoding # toJSONList :: [AlgorithmStatus] -> Value # toEncodingList :: [AlgorithmStatus] -> Encoding #
ToJSONKey AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toJSONKey :: ToJSONKeyFunction AlgorithmStatus # toJSONKeyList :: ToJSONKeyFunction [AlgorithmStatus] #
FromJSON AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods parseJSON :: Value -> Parser AlgorithmStatus # parseJSONList :: Value -> Parser [AlgorithmStatus] #
FromJSONKey AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods fromJSONKey :: FromJSONKeyFunction AlgorithmStatus # fromJSONKeyList :: FromJSONKeyFunction [AlgorithmStatus] #
ToLog AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods build :: AlgorithmStatus -> ByteStringBuilder #
ToHeader AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toHeader :: HeaderName -> AlgorithmStatus -> [Header] #
ToQuery AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toQuery :: AlgorithmStatus -> QueryString #
FromXML AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods parseXML :: [Node] -> Either String AlgorithmStatus #
ToXML AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toXML :: AlgorithmStatus -> XML #
ToByteString AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toBS :: AlgorithmStatus -> ByteString #
FromText AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods fromText :: Text -> Either String AlgorithmStatus #
ToText AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus Methods toText :: AlgorithmStatus -> Text #
type Rep AlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatus type Rep AlgorithmStatus = D1 ('MetaData "AlgorithmStatus" "Amazonka.SageMaker.Types.AlgorithmStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AlgorithmStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAlgorithmStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppImageConfigSortKey

newtype AppImageConfigSortKey Source #

Constructors

AppImageConfigSortKey'
Fields fromAppImageConfigSortKey :: Text

Bundled Patterns

pattern AppImageConfigSortKey_CreationTime :: AppImageConfigSortKey
pattern AppImageConfigSortKey_LastModifiedTime :: AppImageConfigSortKey
pattern AppImageConfigSortKey_Name :: AppImageConfigSortKey

Instances

Instances details

Eq AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods (==) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool # (/=) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #
Ord AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods compare :: AppImageConfigSortKey -> AppImageConfigSortKey -> Ordering # (<) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool # (<=) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool # (>) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool # (>=) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool # max :: AppImageConfigSortKey -> AppImageConfigSortKey -> AppImageConfigSortKey # min :: AppImageConfigSortKey -> AppImageConfigSortKey -> AppImageConfigSortKey #
Read AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods readsPrec :: Int -> ReadS AppImageConfigSortKey # readList :: ReadS [AppImageConfigSortKey] # readPrec :: ReadPrec AppImageConfigSortKey # readListPrec :: ReadPrec [AppImageConfigSortKey] #
Show AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods showsPrec :: Int -> AppImageConfigSortKey -> ShowS # show :: AppImageConfigSortKey -> String # showList :: [AppImageConfigSortKey] -> ShowS #
Generic AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Associated Types type Rep AppImageConfigSortKey :: Type -> Type # Methods from :: AppImageConfigSortKey -> Rep AppImageConfigSortKey x # to :: Rep AppImageConfigSortKey x -> AppImageConfigSortKey #
NFData AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods rnf :: AppImageConfigSortKey -> () #
Hashable AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods hashWithSalt :: Int -> AppImageConfigSortKey -> Int # hash :: AppImageConfigSortKey -> Int #
ToJSON AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toJSON :: AppImageConfigSortKey -> Value # toEncoding :: AppImageConfigSortKey -> Encoding # toJSONList :: [AppImageConfigSortKey] -> Value # toEncodingList :: [AppImageConfigSortKey] -> Encoding #
ToJSONKey AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toJSONKey :: ToJSONKeyFunction AppImageConfigSortKey # toJSONKeyList :: ToJSONKeyFunction [AppImageConfigSortKey] #
FromJSON AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods parseJSON :: Value -> Parser AppImageConfigSortKey # parseJSONList :: Value -> Parser [AppImageConfigSortKey] #
FromJSONKey AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods fromJSONKey :: FromJSONKeyFunction AppImageConfigSortKey # fromJSONKeyList :: FromJSONKeyFunction [AppImageConfigSortKey] #
ToLog AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods build :: AppImageConfigSortKey -> ByteStringBuilder #
ToHeader AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toHeader :: HeaderName -> AppImageConfigSortKey -> [Header] #
ToQuery AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toQuery :: AppImageConfigSortKey -> QueryString #
FromXML AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods parseXML :: [Node] -> Either String AppImageConfigSortKey #
ToXML AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toXML :: AppImageConfigSortKey -> XML #
ToByteString AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toBS :: AppImageConfigSortKey -> ByteString #
FromText AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods fromText :: Text -> Either String AppImageConfigSortKey #
ToText AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey Methods toText :: AppImageConfigSortKey -> Text #
type Rep AppImageConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey type Rep AppImageConfigSortKey = D1 ('MetaData "AppImageConfigSortKey" "Amazonka.SageMaker.Types.AppImageConfigSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AppImageConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppImageConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppInstanceType

newtype AppInstanceType Source #

Constructors

AppInstanceType'
Fields fromAppInstanceType :: Text

Bundled Patterns

pattern AppInstanceType_Ml_c5_12xlarge :: AppInstanceType
pattern AppInstanceType_Ml_c5_18xlarge :: AppInstanceType
pattern AppInstanceType_Ml_c5_24xlarge :: AppInstanceType
pattern AppInstanceType_Ml_c5_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_c5_4xlarge :: AppInstanceType
pattern AppInstanceType_Ml_c5_9xlarge :: AppInstanceType
pattern AppInstanceType_Ml_c5_large :: AppInstanceType
pattern AppInstanceType_Ml_c5_xlarge :: AppInstanceType
pattern AppInstanceType_Ml_g4dn_12xlarge :: AppInstanceType
pattern AppInstanceType_Ml_g4dn_16xlarge :: AppInstanceType
pattern AppInstanceType_Ml_g4dn_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_g4dn_4xlarge :: AppInstanceType
pattern AppInstanceType_Ml_g4dn_8xlarge :: AppInstanceType
pattern AppInstanceType_Ml_g4dn_xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_12xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_16xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_24xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_4xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_8xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5_large :: AppInstanceType
pattern AppInstanceType_Ml_m5_xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_12xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_16xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_24xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_4xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_8xlarge :: AppInstanceType
pattern AppInstanceType_Ml_m5d_large :: AppInstanceType
pattern AppInstanceType_Ml_m5d_xlarge :: AppInstanceType
pattern AppInstanceType_Ml_p3_16xlarge :: AppInstanceType
pattern AppInstanceType_Ml_p3_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_p3_8xlarge :: AppInstanceType
pattern AppInstanceType_Ml_p3dn_24xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_12xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_16xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_24xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_4xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_8xlarge :: AppInstanceType
pattern AppInstanceType_Ml_r5_large :: AppInstanceType
pattern AppInstanceType_Ml_r5_xlarge :: AppInstanceType
pattern AppInstanceType_Ml_t3_2xlarge :: AppInstanceType
pattern AppInstanceType_Ml_t3_large :: AppInstanceType
pattern AppInstanceType_Ml_t3_medium :: AppInstanceType
pattern AppInstanceType_Ml_t3_micro :: AppInstanceType
pattern AppInstanceType_Ml_t3_small :: AppInstanceType
pattern AppInstanceType_Ml_t3_xlarge :: AppInstanceType
pattern AppInstanceType_System :: AppInstanceType

Instances

Instances details

Eq AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods (==) :: AppInstanceType -> AppInstanceType -> Bool # (/=) :: AppInstanceType -> AppInstanceType -> Bool #
Ord AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods compare :: AppInstanceType -> AppInstanceType -> Ordering # (<) :: AppInstanceType -> AppInstanceType -> Bool # (<=) :: AppInstanceType -> AppInstanceType -> Bool # (>) :: AppInstanceType -> AppInstanceType -> Bool # (>=) :: AppInstanceType -> AppInstanceType -> Bool # max :: AppInstanceType -> AppInstanceType -> AppInstanceType # min :: AppInstanceType -> AppInstanceType -> AppInstanceType #
Read AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods readsPrec :: Int -> ReadS AppInstanceType # readList :: ReadS [AppInstanceType] # readPrec :: ReadPrec AppInstanceType # readListPrec :: ReadPrec [AppInstanceType] #
Show AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods showsPrec :: Int -> AppInstanceType -> ShowS # show :: AppInstanceType -> String # showList :: [AppInstanceType] -> ShowS #
Generic AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Associated Types type Rep AppInstanceType :: Type -> Type # Methods from :: AppInstanceType -> Rep AppInstanceType x # to :: Rep AppInstanceType x -> AppInstanceType #
NFData AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods rnf :: AppInstanceType -> () #
Hashable AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods hashWithSalt :: Int -> AppInstanceType -> Int # hash :: AppInstanceType -> Int #
ToJSON AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toJSON :: AppInstanceType -> Value # toEncoding :: AppInstanceType -> Encoding # toJSONList :: [AppInstanceType] -> Value # toEncodingList :: [AppInstanceType] -> Encoding #
ToJSONKey AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toJSONKey :: ToJSONKeyFunction AppInstanceType # toJSONKeyList :: ToJSONKeyFunction [AppInstanceType] #
FromJSON AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods parseJSON :: Value -> Parser AppInstanceType # parseJSONList :: Value -> Parser [AppInstanceType] #
FromJSONKey AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods fromJSONKey :: FromJSONKeyFunction AppInstanceType # fromJSONKeyList :: FromJSONKeyFunction [AppInstanceType] #
ToLog AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods build :: AppInstanceType -> ByteStringBuilder #
ToHeader AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toHeader :: HeaderName -> AppInstanceType -> [Header] #
ToQuery AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toQuery :: AppInstanceType -> QueryString #
FromXML AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods parseXML :: [Node] -> Either String AppInstanceType #
ToXML AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toXML :: AppInstanceType -> XML #
ToByteString AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toBS :: AppInstanceType -> ByteString #
FromText AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods fromText :: Text -> Either String AppInstanceType #
ToText AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType Methods toText :: AppInstanceType -> Text #
type Rep AppInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppInstanceType type Rep AppInstanceType = D1 ('MetaData "AppInstanceType" "Amazonka.SageMaker.Types.AppInstanceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AppInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppNetworkAccessType

newtype AppNetworkAccessType Source #

Constructors

AppNetworkAccessType'
Fields fromAppNetworkAccessType :: Text

Bundled Patterns

pattern AppNetworkAccessType_PublicInternetOnly :: AppNetworkAccessType
pattern AppNetworkAccessType_VpcOnly :: AppNetworkAccessType

Instances

Instances details

Eq AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods (==) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool # (/=) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #
Ord AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods compare :: AppNetworkAccessType -> AppNetworkAccessType -> Ordering # (<) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool # (<=) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool # (>) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool # (>=) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool # max :: AppNetworkAccessType -> AppNetworkAccessType -> AppNetworkAccessType # min :: AppNetworkAccessType -> AppNetworkAccessType -> AppNetworkAccessType #
Read AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods readsPrec :: Int -> ReadS AppNetworkAccessType # readList :: ReadS [AppNetworkAccessType] # readPrec :: ReadPrec AppNetworkAccessType # readListPrec :: ReadPrec [AppNetworkAccessType] #
Show AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods showsPrec :: Int -> AppNetworkAccessType -> ShowS # show :: AppNetworkAccessType -> String # showList :: [AppNetworkAccessType] -> ShowS #
Generic AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Associated Types type Rep AppNetworkAccessType :: Type -> Type # Methods from :: AppNetworkAccessType -> Rep AppNetworkAccessType x # to :: Rep AppNetworkAccessType x -> AppNetworkAccessType #
NFData AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods rnf :: AppNetworkAccessType -> () #
Hashable AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods hashWithSalt :: Int -> AppNetworkAccessType -> Int # hash :: AppNetworkAccessType -> Int #
ToJSON AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toJSON :: AppNetworkAccessType -> Value # toEncoding :: AppNetworkAccessType -> Encoding # toJSONList :: [AppNetworkAccessType] -> Value # toEncodingList :: [AppNetworkAccessType] -> Encoding #
ToJSONKey AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toJSONKey :: ToJSONKeyFunction AppNetworkAccessType # toJSONKeyList :: ToJSONKeyFunction [AppNetworkAccessType] #
FromJSON AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods parseJSON :: Value -> Parser AppNetworkAccessType # parseJSONList :: Value -> Parser [AppNetworkAccessType] #
FromJSONKey AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods fromJSONKey :: FromJSONKeyFunction AppNetworkAccessType # fromJSONKeyList :: FromJSONKeyFunction [AppNetworkAccessType] #
ToLog AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods build :: AppNetworkAccessType -> ByteStringBuilder #
ToHeader AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toHeader :: HeaderName -> AppNetworkAccessType -> [Header] #
ToQuery AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toQuery :: AppNetworkAccessType -> QueryString #
FromXML AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods parseXML :: [Node] -> Either String AppNetworkAccessType #
ToXML AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toXML :: AppNetworkAccessType -> XML #
ToByteString AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toBS :: AppNetworkAccessType -> ByteString #
FromText AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods fromText :: Text -> Either String AppNetworkAccessType #
ToText AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType Methods toText :: AppNetworkAccessType -> Text #
type Rep AppNetworkAccessType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppNetworkAccessType type Rep AppNetworkAccessType = D1 ('MetaData "AppNetworkAccessType" "Amazonka.SageMaker.Types.AppNetworkAccessType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AppNetworkAccessType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppNetworkAccessType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppSortKey

newtype AppSortKey Source #

Constructors

AppSortKey'
Fields fromAppSortKey :: Text

Bundled Patterns

pattern AppSortKey_CreationTime :: AppSortKey

Instances

Instances details

Eq AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods (==) :: AppSortKey -> AppSortKey -> Bool # (/=) :: AppSortKey -> AppSortKey -> Bool #
Ord AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods compare :: AppSortKey -> AppSortKey -> Ordering # (<) :: AppSortKey -> AppSortKey -> Bool # (<=) :: AppSortKey -> AppSortKey -> Bool # (>) :: AppSortKey -> AppSortKey -> Bool # (>=) :: AppSortKey -> AppSortKey -> Bool # max :: AppSortKey -> AppSortKey -> AppSortKey # min :: AppSortKey -> AppSortKey -> AppSortKey #
Read AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods readsPrec :: Int -> ReadS AppSortKey # readList :: ReadS [AppSortKey] # readPrec :: ReadPrec AppSortKey # readListPrec :: ReadPrec [AppSortKey] #
Show AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods showsPrec :: Int -> AppSortKey -> ShowS # show :: AppSortKey -> String # showList :: [AppSortKey] -> ShowS #
Generic AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Associated Types type Rep AppSortKey :: Type -> Type # Methods from :: AppSortKey -> Rep AppSortKey x # to :: Rep AppSortKey x -> AppSortKey #
NFData AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods rnf :: AppSortKey -> () #
Hashable AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods hashWithSalt :: Int -> AppSortKey -> Int # hash :: AppSortKey -> Int #
ToJSON AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toJSON :: AppSortKey -> Value # toEncoding :: AppSortKey -> Encoding # toJSONList :: [AppSortKey] -> Value # toEncodingList :: [AppSortKey] -> Encoding #
ToJSONKey AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toJSONKey :: ToJSONKeyFunction AppSortKey # toJSONKeyList :: ToJSONKeyFunction [AppSortKey] #
FromJSON AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods parseJSON :: Value -> Parser AppSortKey # parseJSONList :: Value -> Parser [AppSortKey] #
FromJSONKey AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods fromJSONKey :: FromJSONKeyFunction AppSortKey # fromJSONKeyList :: FromJSONKeyFunction [AppSortKey] #
ToLog AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods build :: AppSortKey -> ByteStringBuilder #
ToHeader AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toHeader :: HeaderName -> AppSortKey -> [Header] #
ToQuery AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toQuery :: AppSortKey -> QueryString #
FromXML AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods parseXML :: [Node] -> Either String AppSortKey #
ToXML AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toXML :: AppSortKey -> XML #
ToByteString AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toBS :: AppSortKey -> ByteString #
FromText AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods fromText :: Text -> Either String AppSortKey #
ToText AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey Methods toText :: AppSortKey -> Text #
type Rep AppSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSortKey type Rep AppSortKey = D1 ('MetaData "AppSortKey" "Amazonka.SageMaker.Types.AppSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AppSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppStatus

newtype AppStatus Source #

Constructors

AppStatus'
Fields fromAppStatus :: Text

Bundled Patterns

pattern AppStatus_Deleted :: AppStatus
pattern AppStatus_Deleting :: AppStatus
pattern AppStatus_Failed :: AppStatus
pattern AppStatus_InService :: AppStatus
pattern AppStatus_Pending :: AppStatus

Instances

Instances details

Eq AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods (==) :: AppStatus -> AppStatus -> Bool # (/=) :: AppStatus -> AppStatus -> Bool #
Ord AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods compare :: AppStatus -> AppStatus -> Ordering # (<) :: AppStatus -> AppStatus -> Bool # (<=) :: AppStatus -> AppStatus -> Bool # (>) :: AppStatus -> AppStatus -> Bool # (>=) :: AppStatus -> AppStatus -> Bool # max :: AppStatus -> AppStatus -> AppStatus # min :: AppStatus -> AppStatus -> AppStatus #
Read AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods readsPrec :: Int -> ReadS AppStatus # readList :: ReadS [AppStatus] # readPrec :: ReadPrec AppStatus # readListPrec :: ReadPrec [AppStatus] #
Show AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods showsPrec :: Int -> AppStatus -> ShowS # show :: AppStatus -> String # showList :: [AppStatus] -> ShowS #
Generic AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Associated Types type Rep AppStatus :: Type -> Type # Methods from :: AppStatus -> Rep AppStatus x # to :: Rep AppStatus x -> AppStatus #
NFData AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods rnf :: AppStatus -> () #
Hashable AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods hashWithSalt :: Int -> AppStatus -> Int # hash :: AppStatus -> Int #
ToJSON AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toJSON :: AppStatus -> Value # toEncoding :: AppStatus -> Encoding # toJSONList :: [AppStatus] -> Value # toEncodingList :: [AppStatus] -> Encoding #
ToJSONKey AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toJSONKey :: ToJSONKeyFunction AppStatus # toJSONKeyList :: ToJSONKeyFunction [AppStatus] #
FromJSON AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods parseJSON :: Value -> Parser AppStatus # parseJSONList :: Value -> Parser [AppStatus] #
FromJSONKey AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods fromJSONKey :: FromJSONKeyFunction AppStatus # fromJSONKeyList :: FromJSONKeyFunction [AppStatus] #
ToLog AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods build :: AppStatus -> ByteStringBuilder #
ToHeader AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toHeader :: HeaderName -> AppStatus -> [Header] #
ToQuery AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toQuery :: AppStatus -> QueryString #
FromXML AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods parseXML :: [Node] -> Either String AppStatus #
ToXML AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toXML :: AppStatus -> XML #
ToByteString AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toBS :: AppStatus -> ByteString #
FromText AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods fromText :: Text -> Either String AppStatus #
ToText AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus Methods toText :: AppStatus -> Text #
type Rep AppStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AppStatus type Rep AppStatus = D1 ('MetaData "AppStatus" "Amazonka.SageMaker.Types.AppStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AppStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppType

newtype AppType Source #

Constructors

AppType'
Fields fromAppType :: Text

Bundled Patterns

pattern AppType_JupyterServer :: AppType
pattern AppType_KernelGateway :: AppType
pattern AppType_TensorBoard :: AppType

Instances

Instances details

Eq AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods (==) :: AppType -> AppType -> Bool # (/=) :: AppType -> AppType -> Bool #
Ord AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods compare :: AppType -> AppType -> Ordering # (<) :: AppType -> AppType -> Bool # (<=) :: AppType -> AppType -> Bool # (>) :: AppType -> AppType -> Bool # (>=) :: AppType -> AppType -> Bool # max :: AppType -> AppType -> AppType # min :: AppType -> AppType -> AppType #
Read AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods readsPrec :: Int -> ReadS AppType # readList :: ReadS [AppType] # readPrec :: ReadPrec AppType # readListPrec :: ReadPrec [AppType] #
Show AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods showsPrec :: Int -> AppType -> ShowS # show :: AppType -> String # showList :: [AppType] -> ShowS #
Generic AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Associated Types type Rep AppType :: Type -> Type # Methods from :: AppType -> Rep AppType x # to :: Rep AppType x -> AppType #
NFData AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods rnf :: AppType -> () #
Hashable AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods hashWithSalt :: Int -> AppType -> Int # hash :: AppType -> Int #
ToJSON AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toJSON :: AppType -> Value # toEncoding :: AppType -> Encoding # toJSONList :: [AppType] -> Value # toEncodingList :: [AppType] -> Encoding #
ToJSONKey AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toJSONKey :: ToJSONKeyFunction AppType # toJSONKeyList :: ToJSONKeyFunction [AppType] #
FromJSON AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods parseJSON :: Value -> Parser AppType # parseJSONList :: Value -> Parser [AppType] #
FromJSONKey AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods fromJSONKey :: FromJSONKeyFunction AppType # fromJSONKeyList :: FromJSONKeyFunction [AppType] #
ToLog AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods build :: AppType -> ByteStringBuilder #
ToHeader AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toHeader :: HeaderName -> AppType -> [Header] #
ToQuery AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toQuery :: AppType -> QueryString #
FromXML AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods parseXML :: [Node] -> Either String AppType #
ToXML AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toXML :: AppType -> XML #
ToByteString AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toBS :: AppType -> ByteString #
FromText AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods fromText :: Text -> Either String AppType #
ToText AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType Methods toText :: AppType -> Text #
type Rep AppType Source #
Instance details Defined in Amazonka.SageMaker.Types.AppType type Rep AppType = D1 ('MetaData "AppType" "Amazonka.SageMaker.Types.AppType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AppType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ArtifactSourceIdType

newtype ArtifactSourceIdType Source #

Constructors

ArtifactSourceIdType'
Fields fromArtifactSourceIdType :: Text

Bundled Patterns

pattern ArtifactSourceIdType_Custom :: ArtifactSourceIdType
pattern ArtifactSourceIdType_MD5Hash :: ArtifactSourceIdType
pattern ArtifactSourceIdType_S3ETag :: ArtifactSourceIdType
pattern ArtifactSourceIdType_S3Version :: ArtifactSourceIdType

Instances

Instances details

Eq ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods (==) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool # (/=) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #
Ord ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods compare :: ArtifactSourceIdType -> ArtifactSourceIdType -> Ordering # (<) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool # (<=) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool # (>) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool # (>=) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool # max :: ArtifactSourceIdType -> ArtifactSourceIdType -> ArtifactSourceIdType # min :: ArtifactSourceIdType -> ArtifactSourceIdType -> ArtifactSourceIdType #
Read ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods readsPrec :: Int -> ReadS ArtifactSourceIdType # readList :: ReadS [ArtifactSourceIdType] # readPrec :: ReadPrec ArtifactSourceIdType # readListPrec :: ReadPrec [ArtifactSourceIdType] #
Show ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods showsPrec :: Int -> ArtifactSourceIdType -> ShowS # show :: ArtifactSourceIdType -> String # showList :: [ArtifactSourceIdType] -> ShowS #
Generic ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Associated Types type Rep ArtifactSourceIdType :: Type -> Type # Methods from :: ArtifactSourceIdType -> Rep ArtifactSourceIdType x # to :: Rep ArtifactSourceIdType x -> ArtifactSourceIdType #
NFData ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods rnf :: ArtifactSourceIdType -> () #
Hashable ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods hashWithSalt :: Int -> ArtifactSourceIdType -> Int # hash :: ArtifactSourceIdType -> Int #
ToJSON ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toJSON :: ArtifactSourceIdType -> Value # toEncoding :: ArtifactSourceIdType -> Encoding # toJSONList :: [ArtifactSourceIdType] -> Value # toEncodingList :: [ArtifactSourceIdType] -> Encoding #
ToJSONKey ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toJSONKey :: ToJSONKeyFunction ArtifactSourceIdType # toJSONKeyList :: ToJSONKeyFunction [ArtifactSourceIdType] #
FromJSON ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods parseJSON :: Value -> Parser ArtifactSourceIdType # parseJSONList :: Value -> Parser [ArtifactSourceIdType] #
FromJSONKey ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods fromJSONKey :: FromJSONKeyFunction ArtifactSourceIdType # fromJSONKeyList :: FromJSONKeyFunction [ArtifactSourceIdType] #
ToLog ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods build :: ArtifactSourceIdType -> ByteStringBuilder #
ToHeader ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toHeader :: HeaderName -> ArtifactSourceIdType -> [Header] #
ToQuery ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toQuery :: ArtifactSourceIdType -> QueryString #
FromXML ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods parseXML :: [Node] -> Either String ArtifactSourceIdType #
ToXML ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toXML :: ArtifactSourceIdType -> XML #
ToByteString ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toBS :: ArtifactSourceIdType -> ByteString #
FromText ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods fromText :: Text -> Either String ArtifactSourceIdType #
ToText ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType Methods toText :: ArtifactSourceIdType -> Text #
type Rep ArtifactSourceIdType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType type Rep ArtifactSourceIdType = D1 ('MetaData "ArtifactSourceIdType" "Amazonka.SageMaker.Types.ArtifactSourceIdType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ArtifactSourceIdType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromArtifactSourceIdType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AssemblyType

newtype AssemblyType Source #

Constructors

AssemblyType'
Fields fromAssemblyType :: Text

Bundled Patterns

pattern AssemblyType_Line :: AssemblyType
pattern AssemblyType_None :: AssemblyType

Instances

Instances details

Eq AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods (==) :: AssemblyType -> AssemblyType -> Bool # (/=) :: AssemblyType -> AssemblyType -> Bool #
Ord AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods compare :: AssemblyType -> AssemblyType -> Ordering # (<) :: AssemblyType -> AssemblyType -> Bool # (<=) :: AssemblyType -> AssemblyType -> Bool # (>) :: AssemblyType -> AssemblyType -> Bool # (>=) :: AssemblyType -> AssemblyType -> Bool # max :: AssemblyType -> AssemblyType -> AssemblyType # min :: AssemblyType -> AssemblyType -> AssemblyType #
Read AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods readsPrec :: Int -> ReadS AssemblyType # readList :: ReadS [AssemblyType] # readPrec :: ReadPrec AssemblyType # readListPrec :: ReadPrec [AssemblyType] #
Show AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods showsPrec :: Int -> AssemblyType -> ShowS # show :: AssemblyType -> String # showList :: [AssemblyType] -> ShowS #
Generic AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Associated Types type Rep AssemblyType :: Type -> Type # Methods from :: AssemblyType -> Rep AssemblyType x # to :: Rep AssemblyType x -> AssemblyType #
NFData AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods rnf :: AssemblyType -> () #
Hashable AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods hashWithSalt :: Int -> AssemblyType -> Int # hash :: AssemblyType -> Int #
ToJSON AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toJSON :: AssemblyType -> Value # toEncoding :: AssemblyType -> Encoding # toJSONList :: [AssemblyType] -> Value # toEncodingList :: [AssemblyType] -> Encoding #
ToJSONKey AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toJSONKey :: ToJSONKeyFunction AssemblyType # toJSONKeyList :: ToJSONKeyFunction [AssemblyType] #
FromJSON AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods parseJSON :: Value -> Parser AssemblyType # parseJSONList :: Value -> Parser [AssemblyType] #
FromJSONKey AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods fromJSONKey :: FromJSONKeyFunction AssemblyType # fromJSONKeyList :: FromJSONKeyFunction [AssemblyType] #
ToLog AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods build :: AssemblyType -> ByteStringBuilder #
ToHeader AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toHeader :: HeaderName -> AssemblyType -> [Header] #
ToQuery AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toQuery :: AssemblyType -> QueryString #
FromXML AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods parseXML :: [Node] -> Either String AssemblyType #
ToXML AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toXML :: AssemblyType -> XML #
ToByteString AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toBS :: AssemblyType -> ByteString #
FromText AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods fromText :: Text -> Either String AssemblyType #
ToText AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType Methods toText :: AssemblyType -> Text #
type Rep AssemblyType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssemblyType type Rep AssemblyType = D1 ('MetaData "AssemblyType" "Amazonka.SageMaker.Types.AssemblyType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AssemblyType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAssemblyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AssociationEdgeType

newtype AssociationEdgeType Source #

Constructors

AssociationEdgeType'
Fields fromAssociationEdgeType :: Text

Bundled Patterns

pattern AssociationEdgeType_AssociatedWith :: AssociationEdgeType
pattern AssociationEdgeType_ContributedTo :: AssociationEdgeType
pattern AssociationEdgeType_DerivedFrom :: AssociationEdgeType
pattern AssociationEdgeType_Produced :: AssociationEdgeType

Instances

Instances details

Eq AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods (==) :: AssociationEdgeType -> AssociationEdgeType -> Bool # (/=) :: AssociationEdgeType -> AssociationEdgeType -> Bool #
Ord AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods compare :: AssociationEdgeType -> AssociationEdgeType -> Ordering # (<) :: AssociationEdgeType -> AssociationEdgeType -> Bool # (<=) :: AssociationEdgeType -> AssociationEdgeType -> Bool # (>) :: AssociationEdgeType -> AssociationEdgeType -> Bool # (>=) :: AssociationEdgeType -> AssociationEdgeType -> Bool # max :: AssociationEdgeType -> AssociationEdgeType -> AssociationEdgeType # min :: AssociationEdgeType -> AssociationEdgeType -> AssociationEdgeType #
Read AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods readsPrec :: Int -> ReadS AssociationEdgeType # readList :: ReadS [AssociationEdgeType] # readPrec :: ReadPrec AssociationEdgeType # readListPrec :: ReadPrec [AssociationEdgeType] #
Show AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods showsPrec :: Int -> AssociationEdgeType -> ShowS # show :: AssociationEdgeType -> String # showList :: [AssociationEdgeType] -> ShowS #
Generic AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Associated Types type Rep AssociationEdgeType :: Type -> Type # Methods from :: AssociationEdgeType -> Rep AssociationEdgeType x # to :: Rep AssociationEdgeType x -> AssociationEdgeType #
NFData AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods rnf :: AssociationEdgeType -> () #
Hashable AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods hashWithSalt :: Int -> AssociationEdgeType -> Int # hash :: AssociationEdgeType -> Int #
ToJSON AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toJSON :: AssociationEdgeType -> Value # toEncoding :: AssociationEdgeType -> Encoding # toJSONList :: [AssociationEdgeType] -> Value # toEncodingList :: [AssociationEdgeType] -> Encoding #
ToJSONKey AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toJSONKey :: ToJSONKeyFunction AssociationEdgeType # toJSONKeyList :: ToJSONKeyFunction [AssociationEdgeType] #
FromJSON AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods parseJSON :: Value -> Parser AssociationEdgeType # parseJSONList :: Value -> Parser [AssociationEdgeType] #
FromJSONKey AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods fromJSONKey :: FromJSONKeyFunction AssociationEdgeType # fromJSONKeyList :: FromJSONKeyFunction [AssociationEdgeType] #
ToLog AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods build :: AssociationEdgeType -> ByteStringBuilder #
ToHeader AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toHeader :: HeaderName -> AssociationEdgeType -> [Header] #
ToQuery AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toQuery :: AssociationEdgeType -> QueryString #
FromXML AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods parseXML :: [Node] -> Either String AssociationEdgeType #
ToXML AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toXML :: AssociationEdgeType -> XML #
ToByteString AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toBS :: AssociationEdgeType -> ByteString #
FromText AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods fromText :: Text -> Either String AssociationEdgeType #
ToText AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType Methods toText :: AssociationEdgeType -> Text #
type Rep AssociationEdgeType Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationEdgeType type Rep AssociationEdgeType = D1 ('MetaData "AssociationEdgeType" "Amazonka.SageMaker.Types.AssociationEdgeType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AssociationEdgeType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAssociationEdgeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AthenaResultCompressionType

newtype AthenaResultCompressionType Source #

The compression used for Athena query results.

Constructors

AthenaResultCompressionType'
Fields fromAthenaResultCompressionType :: Text

Bundled Patterns

pattern AthenaResultCompressionType_GZIP :: AthenaResultCompressionType
pattern AthenaResultCompressionType_SNAPPY :: AthenaResultCompressionType
pattern AthenaResultCompressionType_ZLIB :: AthenaResultCompressionType

Instances

Instances details

Eq AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods (==) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool # (/=) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #
Ord AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods compare :: AthenaResultCompressionType -> AthenaResultCompressionType -> Ordering # (<) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool # (<=) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool # (>) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool # (>=) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool # max :: AthenaResultCompressionType -> AthenaResultCompressionType -> AthenaResultCompressionType # min :: AthenaResultCompressionType -> AthenaResultCompressionType -> AthenaResultCompressionType #
Read AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods readsPrec :: Int -> ReadS AthenaResultCompressionType # readList :: ReadS [AthenaResultCompressionType] # readPrec :: ReadPrec AthenaResultCompressionType # readListPrec :: ReadPrec [AthenaResultCompressionType] #
Show AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods showsPrec :: Int -> AthenaResultCompressionType -> ShowS # show :: AthenaResultCompressionType -> String # showList :: [AthenaResultCompressionType] -> ShowS #
Generic AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Associated Types type Rep AthenaResultCompressionType :: Type -> Type # Methods from :: AthenaResultCompressionType -> Rep AthenaResultCompressionType x # to :: Rep AthenaResultCompressionType x -> AthenaResultCompressionType #
NFData AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods rnf :: AthenaResultCompressionType -> () #
Hashable AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods hashWithSalt :: Int -> AthenaResultCompressionType -> Int # hash :: AthenaResultCompressionType -> Int #
ToJSON AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toJSON :: AthenaResultCompressionType -> Value # toEncoding :: AthenaResultCompressionType -> Encoding # toJSONList :: [AthenaResultCompressionType] -> Value # toEncodingList :: [AthenaResultCompressionType] -> Encoding #
ToJSONKey AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toJSONKey :: ToJSONKeyFunction AthenaResultCompressionType # toJSONKeyList :: ToJSONKeyFunction [AthenaResultCompressionType] #
FromJSON AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods parseJSON :: Value -> Parser AthenaResultCompressionType # parseJSONList :: Value -> Parser [AthenaResultCompressionType] #
FromJSONKey AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods fromJSONKey :: FromJSONKeyFunction AthenaResultCompressionType # fromJSONKeyList :: FromJSONKeyFunction [AthenaResultCompressionType] #
ToLog AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods build :: AthenaResultCompressionType -> ByteStringBuilder #
ToHeader AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toHeader :: HeaderName -> AthenaResultCompressionType -> [Header] #
ToQuery AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toQuery :: AthenaResultCompressionType -> QueryString #
FromXML AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods parseXML :: [Node] -> Either String AthenaResultCompressionType #
ToXML AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toXML :: AthenaResultCompressionType -> XML #
ToByteString AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toBS :: AthenaResultCompressionType -> ByteString #
FromText AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods fromText :: Text -> Either String AthenaResultCompressionType #
ToText AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType Methods toText :: AthenaResultCompressionType -> Text #
type Rep AthenaResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType type Rep AthenaResultCompressionType = D1 ('MetaData "AthenaResultCompressionType" "Amazonka.SageMaker.Types.AthenaResultCompressionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AthenaResultCompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAthenaResultCompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AthenaResultFormat

newtype AthenaResultFormat Source #

The data storage format for Athena query results.

Constructors

AthenaResultFormat'
Fields fromAthenaResultFormat :: Text

Bundled Patterns

pattern AthenaResultFormat_AVRO :: AthenaResultFormat
pattern AthenaResultFormat_JSON :: AthenaResultFormat
pattern AthenaResultFormat_ORC :: AthenaResultFormat
pattern AthenaResultFormat_PARQUET :: AthenaResultFormat
pattern AthenaResultFormat_TEXTFILE :: AthenaResultFormat

Instances

Instances details

Eq AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods (==) :: AthenaResultFormat -> AthenaResultFormat -> Bool # (/=) :: AthenaResultFormat -> AthenaResultFormat -> Bool #
Ord AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods compare :: AthenaResultFormat -> AthenaResultFormat -> Ordering # (<) :: AthenaResultFormat -> AthenaResultFormat -> Bool # (<=) :: AthenaResultFormat -> AthenaResultFormat -> Bool # (>) :: AthenaResultFormat -> AthenaResultFormat -> Bool # (>=) :: AthenaResultFormat -> AthenaResultFormat -> Bool # max :: AthenaResultFormat -> AthenaResultFormat -> AthenaResultFormat # min :: AthenaResultFormat -> AthenaResultFormat -> AthenaResultFormat #
Read AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods readsPrec :: Int -> ReadS AthenaResultFormat # readList :: ReadS [AthenaResultFormat] # readPrec :: ReadPrec AthenaResultFormat # readListPrec :: ReadPrec [AthenaResultFormat] #
Show AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods showsPrec :: Int -> AthenaResultFormat -> ShowS # show :: AthenaResultFormat -> String # showList :: [AthenaResultFormat] -> ShowS #
Generic AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Associated Types type Rep AthenaResultFormat :: Type -> Type # Methods from :: AthenaResultFormat -> Rep AthenaResultFormat x # to :: Rep AthenaResultFormat x -> AthenaResultFormat #
NFData AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods rnf :: AthenaResultFormat -> () #
Hashable AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods hashWithSalt :: Int -> AthenaResultFormat -> Int # hash :: AthenaResultFormat -> Int #
ToJSON AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toJSON :: AthenaResultFormat -> Value # toEncoding :: AthenaResultFormat -> Encoding # toJSONList :: [AthenaResultFormat] -> Value # toEncodingList :: [AthenaResultFormat] -> Encoding #
ToJSONKey AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toJSONKey :: ToJSONKeyFunction AthenaResultFormat # toJSONKeyList :: ToJSONKeyFunction [AthenaResultFormat] #
FromJSON AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods parseJSON :: Value -> Parser AthenaResultFormat # parseJSONList :: Value -> Parser [AthenaResultFormat] #
FromJSONKey AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods fromJSONKey :: FromJSONKeyFunction AthenaResultFormat # fromJSONKeyList :: FromJSONKeyFunction [AthenaResultFormat] #
ToLog AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods build :: AthenaResultFormat -> ByteStringBuilder #
ToHeader AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toHeader :: HeaderName -> AthenaResultFormat -> [Header] #
ToQuery AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toQuery :: AthenaResultFormat -> QueryString #
FromXML AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods parseXML :: [Node] -> Either String AthenaResultFormat #
ToXML AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toXML :: AthenaResultFormat -> XML #
ToByteString AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toBS :: AthenaResultFormat -> ByteString #
FromText AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods fromText :: Text -> Either String AthenaResultFormat #
ToText AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat Methods toText :: AthenaResultFormat -> Text #
type Rep AthenaResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaResultFormat type Rep AthenaResultFormat = D1 ('MetaData "AthenaResultFormat" "Amazonka.SageMaker.Types.AthenaResultFormat" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AthenaResultFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAthenaResultFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AuthMode

newtype AuthMode Source #

Constructors

AuthMode'
Fields fromAuthMode :: Text

Bundled Patterns

pattern AuthMode_IAM :: AuthMode
pattern AuthMode_SSO :: AuthMode

Instances

Instances details

Eq AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods (==) :: AuthMode -> AuthMode -> Bool # (/=) :: AuthMode -> AuthMode -> Bool #
Ord AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods compare :: AuthMode -> AuthMode -> Ordering # (<) :: AuthMode -> AuthMode -> Bool # (<=) :: AuthMode -> AuthMode -> Bool # (>) :: AuthMode -> AuthMode -> Bool # (>=) :: AuthMode -> AuthMode -> Bool # max :: AuthMode -> AuthMode -> AuthMode # min :: AuthMode -> AuthMode -> AuthMode #
Read AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods readsPrec :: Int -> ReadS AuthMode # readList :: ReadS [AuthMode] # readPrec :: ReadPrec AuthMode # readListPrec :: ReadPrec [AuthMode] #
Show AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods showsPrec :: Int -> AuthMode -> ShowS # show :: AuthMode -> String # showList :: [AuthMode] -> ShowS #
Generic AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Associated Types type Rep AuthMode :: Type -> Type # Methods from :: AuthMode -> Rep AuthMode x # to :: Rep AuthMode x -> AuthMode #
NFData AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods rnf :: AuthMode -> () #
Hashable AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods hashWithSalt :: Int -> AuthMode -> Int # hash :: AuthMode -> Int #
ToJSON AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toJSON :: AuthMode -> Value # toEncoding :: AuthMode -> Encoding # toJSONList :: [AuthMode] -> Value # toEncodingList :: [AuthMode] -> Encoding #
ToJSONKey AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toJSONKey :: ToJSONKeyFunction AuthMode # toJSONKeyList :: ToJSONKeyFunction [AuthMode] #
FromJSON AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods parseJSON :: Value -> Parser AuthMode # parseJSONList :: Value -> Parser [AuthMode] #
FromJSONKey AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods fromJSONKey :: FromJSONKeyFunction AuthMode # fromJSONKeyList :: FromJSONKeyFunction [AuthMode] #
ToLog AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods build :: AuthMode -> ByteStringBuilder #
ToHeader AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toHeader :: HeaderName -> AuthMode -> [Header] #
ToQuery AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toQuery :: AuthMode -> QueryString #
FromXML AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods parseXML :: [Node] -> Either String AuthMode #
ToXML AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toXML :: AuthMode -> XML #
ToByteString AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toBS :: AuthMode -> ByteString #
FromText AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods fromText :: Text -> Either String AuthMode #
ToText AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode Methods toText :: AuthMode -> Text #
type Rep AuthMode Source #
Instance details Defined in Amazonka.SageMaker.Types.AuthMode type Rep AuthMode = D1 ('MetaData "AuthMode" "Amazonka.SageMaker.Types.AuthMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AuthMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAuthMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLJobObjectiveType

newtype AutoMLJobObjectiveType Source #

Constructors

AutoMLJobObjectiveType'
Fields fromAutoMLJobObjectiveType :: Text

Bundled Patterns

pattern AutoMLJobObjectiveType_Maximize :: AutoMLJobObjectiveType
pattern AutoMLJobObjectiveType_Minimize :: AutoMLJobObjectiveType

Instances

Instances details

Eq AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods (==) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool # (/=) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #
Ord AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods compare :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Ordering # (<) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool # (<=) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool # (>) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool # (>=) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool # max :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> AutoMLJobObjectiveType # min :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> AutoMLJobObjectiveType #
Read AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods readsPrec :: Int -> ReadS AutoMLJobObjectiveType # readList :: ReadS [AutoMLJobObjectiveType] # readPrec :: ReadPrec AutoMLJobObjectiveType # readListPrec :: ReadPrec [AutoMLJobObjectiveType] #
Show AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods showsPrec :: Int -> AutoMLJobObjectiveType -> ShowS # show :: AutoMLJobObjectiveType -> String # showList :: [AutoMLJobObjectiveType] -> ShowS #
Generic AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Associated Types type Rep AutoMLJobObjectiveType :: Type -> Type # Methods from :: AutoMLJobObjectiveType -> Rep AutoMLJobObjectiveType x # to :: Rep AutoMLJobObjectiveType x -> AutoMLJobObjectiveType #
NFData AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods rnf :: AutoMLJobObjectiveType -> () #
Hashable AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods hashWithSalt :: Int -> AutoMLJobObjectiveType -> Int # hash :: AutoMLJobObjectiveType -> Int #
ToJSON AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toJSON :: AutoMLJobObjectiveType -> Value # toEncoding :: AutoMLJobObjectiveType -> Encoding # toJSONList :: [AutoMLJobObjectiveType] -> Value # toEncodingList :: [AutoMLJobObjectiveType] -> Encoding #
ToJSONKey AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toJSONKey :: ToJSONKeyFunction AutoMLJobObjectiveType # toJSONKeyList :: ToJSONKeyFunction [AutoMLJobObjectiveType] #
FromJSON AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods parseJSON :: Value -> Parser AutoMLJobObjectiveType # parseJSONList :: Value -> Parser [AutoMLJobObjectiveType] #
FromJSONKey AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods fromJSONKey :: FromJSONKeyFunction AutoMLJobObjectiveType # fromJSONKeyList :: FromJSONKeyFunction [AutoMLJobObjectiveType] #
ToLog AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods build :: AutoMLJobObjectiveType -> ByteStringBuilder #
ToHeader AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toHeader :: HeaderName -> AutoMLJobObjectiveType -> [Header] #
ToQuery AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toQuery :: AutoMLJobObjectiveType -> QueryString #
FromXML AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods parseXML :: [Node] -> Either String AutoMLJobObjectiveType #
ToXML AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toXML :: AutoMLJobObjectiveType -> XML #
ToByteString AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toBS :: AutoMLJobObjectiveType -> ByteString #
FromText AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods fromText :: Text -> Either String AutoMLJobObjectiveType #
ToText AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType Methods toText :: AutoMLJobObjectiveType -> Text #
type Rep AutoMLJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType type Rep AutoMLJobObjectiveType = D1 ('MetaData "AutoMLJobObjectiveType" "Amazonka.SageMaker.Types.AutoMLJobObjectiveType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLJobObjectiveType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLJobObjectiveType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLJobSecondaryStatus

newtype AutoMLJobSecondaryStatus Source #

Constructors

AutoMLJobSecondaryStatus'
Fields fromAutoMLJobSecondaryStatus :: Text

Bundled Patterns

pattern AutoMLJobSecondaryStatus_AnalyzingData :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_CandidateDefinitionsGenerated :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_Completed :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_DeployingModel :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_ExplainabilityError :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_Failed :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_FeatureEngineering :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_GeneratingExplainabilityReport :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_MaxAutoMLJobRuntimeReached :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_MaxCandidatesReached :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_ModelDeploymentError :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_ModelTuning :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_Starting :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_Stopped :: AutoMLJobSecondaryStatus
pattern AutoMLJobSecondaryStatus_Stopping :: AutoMLJobSecondaryStatus

Instances

Instances details

Eq AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods (==) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool # (/=) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #
Ord AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods compare :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Ordering # (<) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool # (<=) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool # (>) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool # (>=) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool # max :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus # min :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus #
Read AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods readsPrec :: Int -> ReadS AutoMLJobSecondaryStatus # readList :: ReadS [AutoMLJobSecondaryStatus] # readPrec :: ReadPrec AutoMLJobSecondaryStatus # readListPrec :: ReadPrec [AutoMLJobSecondaryStatus] #
Show AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods showsPrec :: Int -> AutoMLJobSecondaryStatus -> ShowS # show :: AutoMLJobSecondaryStatus -> String # showList :: [AutoMLJobSecondaryStatus] -> ShowS #
Generic AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Associated Types type Rep AutoMLJobSecondaryStatus :: Type -> Type # Methods from :: AutoMLJobSecondaryStatus -> Rep AutoMLJobSecondaryStatus x # to :: Rep AutoMLJobSecondaryStatus x -> AutoMLJobSecondaryStatus #
NFData AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods rnf :: AutoMLJobSecondaryStatus -> () #
Hashable AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods hashWithSalt :: Int -> AutoMLJobSecondaryStatus -> Int # hash :: AutoMLJobSecondaryStatus -> Int #
ToJSON AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toJSON :: AutoMLJobSecondaryStatus -> Value # toEncoding :: AutoMLJobSecondaryStatus -> Encoding # toJSONList :: [AutoMLJobSecondaryStatus] -> Value # toEncodingList :: [AutoMLJobSecondaryStatus] -> Encoding #
ToJSONKey AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toJSONKey :: ToJSONKeyFunction AutoMLJobSecondaryStatus # toJSONKeyList :: ToJSONKeyFunction [AutoMLJobSecondaryStatus] #
FromJSON AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods parseJSON :: Value -> Parser AutoMLJobSecondaryStatus # parseJSONList :: Value -> Parser [AutoMLJobSecondaryStatus] #
FromJSONKey AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods fromJSONKey :: FromJSONKeyFunction AutoMLJobSecondaryStatus # fromJSONKeyList :: FromJSONKeyFunction [AutoMLJobSecondaryStatus] #
ToLog AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods build :: AutoMLJobSecondaryStatus -> ByteStringBuilder #
ToHeader AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toHeader :: HeaderName -> AutoMLJobSecondaryStatus -> [Header] #
ToQuery AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toQuery :: AutoMLJobSecondaryStatus -> QueryString #
FromXML AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods parseXML :: [Node] -> Either String AutoMLJobSecondaryStatus #
ToXML AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toXML :: AutoMLJobSecondaryStatus -> XML #
ToByteString AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toBS :: AutoMLJobSecondaryStatus -> ByteString #
FromText AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods fromText :: Text -> Either String AutoMLJobSecondaryStatus #
ToText AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus Methods toText :: AutoMLJobSecondaryStatus -> Text #
type Rep AutoMLJobSecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus type Rep AutoMLJobSecondaryStatus = D1 ('MetaData "AutoMLJobSecondaryStatus" "Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLJobSecondaryStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLJobSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLJobStatus

newtype AutoMLJobStatus Source #

Constructors

AutoMLJobStatus'
Fields fromAutoMLJobStatus :: Text

Bundled Patterns

pattern AutoMLJobStatus_Completed :: AutoMLJobStatus
pattern AutoMLJobStatus_Failed :: AutoMLJobStatus
pattern AutoMLJobStatus_InProgress :: AutoMLJobStatus
pattern AutoMLJobStatus_Stopped :: AutoMLJobStatus
pattern AutoMLJobStatus_Stopping :: AutoMLJobStatus

Instances

Instances details

Eq AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods (==) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool # (/=) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #
Ord AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods compare :: AutoMLJobStatus -> AutoMLJobStatus -> Ordering # (<) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool # (<=) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool # (>) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool # (>=) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool # max :: AutoMLJobStatus -> AutoMLJobStatus -> AutoMLJobStatus # min :: AutoMLJobStatus -> AutoMLJobStatus -> AutoMLJobStatus #
Read AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods readsPrec :: Int -> ReadS AutoMLJobStatus # readList :: ReadS [AutoMLJobStatus] # readPrec :: ReadPrec AutoMLJobStatus # readListPrec :: ReadPrec [AutoMLJobStatus] #
Show AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods showsPrec :: Int -> AutoMLJobStatus -> ShowS # show :: AutoMLJobStatus -> String # showList :: [AutoMLJobStatus] -> ShowS #
Generic AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Associated Types type Rep AutoMLJobStatus :: Type -> Type # Methods from :: AutoMLJobStatus -> Rep AutoMLJobStatus x # to :: Rep AutoMLJobStatus x -> AutoMLJobStatus #
NFData AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods rnf :: AutoMLJobStatus -> () #
Hashable AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods hashWithSalt :: Int -> AutoMLJobStatus -> Int # hash :: AutoMLJobStatus -> Int #
ToJSON AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toJSON :: AutoMLJobStatus -> Value # toEncoding :: AutoMLJobStatus -> Encoding # toJSONList :: [AutoMLJobStatus] -> Value # toEncodingList :: [AutoMLJobStatus] -> Encoding #
ToJSONKey AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toJSONKey :: ToJSONKeyFunction AutoMLJobStatus # toJSONKeyList :: ToJSONKeyFunction [AutoMLJobStatus] #
FromJSON AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods parseJSON :: Value -> Parser AutoMLJobStatus # parseJSONList :: Value -> Parser [AutoMLJobStatus] #
FromJSONKey AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods fromJSONKey :: FromJSONKeyFunction AutoMLJobStatus # fromJSONKeyList :: FromJSONKeyFunction [AutoMLJobStatus] #
ToLog AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods build :: AutoMLJobStatus -> ByteStringBuilder #
ToHeader AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toHeader :: HeaderName -> AutoMLJobStatus -> [Header] #
ToQuery AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toQuery :: AutoMLJobStatus -> QueryString #
FromXML AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods parseXML :: [Node] -> Either String AutoMLJobStatus #
ToXML AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toXML :: AutoMLJobStatus -> XML #
ToByteString AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toBS :: AutoMLJobStatus -> ByteString #
FromText AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods fromText :: Text -> Either String AutoMLJobStatus #
ToText AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus Methods toText :: AutoMLJobStatus -> Text #
type Rep AutoMLJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobStatus type Rep AutoMLJobStatus = D1 ('MetaData "AutoMLJobStatus" "Amazonka.SageMaker.Types.AutoMLJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLMetricEnum

newtype AutoMLMetricEnum Source #

Constructors

AutoMLMetricEnum'
Fields fromAutoMLMetricEnum :: Text

Bundled Patterns

pattern AutoMLMetricEnum_AUC :: AutoMLMetricEnum
pattern AutoMLMetricEnum_Accuracy :: AutoMLMetricEnum
pattern AutoMLMetricEnum_F1 :: AutoMLMetricEnum
pattern AutoMLMetricEnum_F1macro :: AutoMLMetricEnum
pattern AutoMLMetricEnum_MSE :: AutoMLMetricEnum

Instances

Instances details

Eq AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods (==) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool # (/=) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #
Ord AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods compare :: AutoMLMetricEnum -> AutoMLMetricEnum -> Ordering # (<) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool # (<=) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool # (>) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool # (>=) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool # max :: AutoMLMetricEnum -> AutoMLMetricEnum -> AutoMLMetricEnum # min :: AutoMLMetricEnum -> AutoMLMetricEnum -> AutoMLMetricEnum #
Read AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods readsPrec :: Int -> ReadS AutoMLMetricEnum # readList :: ReadS [AutoMLMetricEnum] # readPrec :: ReadPrec AutoMLMetricEnum # readListPrec :: ReadPrec [AutoMLMetricEnum] #
Show AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods showsPrec :: Int -> AutoMLMetricEnum -> ShowS # show :: AutoMLMetricEnum -> String # showList :: [AutoMLMetricEnum] -> ShowS #
Generic AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Associated Types type Rep AutoMLMetricEnum :: Type -> Type # Methods from :: AutoMLMetricEnum -> Rep AutoMLMetricEnum x # to :: Rep AutoMLMetricEnum x -> AutoMLMetricEnum #
NFData AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods rnf :: AutoMLMetricEnum -> () #
Hashable AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods hashWithSalt :: Int -> AutoMLMetricEnum -> Int # hash :: AutoMLMetricEnum -> Int #
ToJSON AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toJSON :: AutoMLMetricEnum -> Value # toEncoding :: AutoMLMetricEnum -> Encoding # toJSONList :: [AutoMLMetricEnum] -> Value # toEncodingList :: [AutoMLMetricEnum] -> Encoding #
ToJSONKey AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toJSONKey :: ToJSONKeyFunction AutoMLMetricEnum # toJSONKeyList :: ToJSONKeyFunction [AutoMLMetricEnum] #
FromJSON AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods parseJSON :: Value -> Parser AutoMLMetricEnum # parseJSONList :: Value -> Parser [AutoMLMetricEnum] #
FromJSONKey AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods fromJSONKey :: FromJSONKeyFunction AutoMLMetricEnum # fromJSONKeyList :: FromJSONKeyFunction [AutoMLMetricEnum] #
ToLog AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods build :: AutoMLMetricEnum -> ByteStringBuilder #
ToHeader AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toHeader :: HeaderName -> AutoMLMetricEnum -> [Header] #
ToQuery AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toQuery :: AutoMLMetricEnum -> QueryString #
FromXML AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods parseXML :: [Node] -> Either String AutoMLMetricEnum #
ToXML AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toXML :: AutoMLMetricEnum -> XML #
ToByteString AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toBS :: AutoMLMetricEnum -> ByteString #
FromText AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods fromText :: Text -> Either String AutoMLMetricEnum #
ToText AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum Methods toText :: AutoMLMetricEnum -> Text #
type Rep AutoMLMetricEnum Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum type Rep AutoMLMetricEnum = D1 ('MetaData "AutoMLMetricEnum" "Amazonka.SageMaker.Types.AutoMLMetricEnum" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLMetricEnum'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLMetricEnum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLS3DataType

newtype AutoMLS3DataType Source #

Constructors

AutoMLS3DataType'
Fields fromAutoMLS3DataType :: Text

Bundled Patterns

pattern AutoMLS3DataType_ManifestFile :: AutoMLS3DataType
pattern AutoMLS3DataType_S3Prefix :: AutoMLS3DataType

Instances

Instances details

Eq AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods (==) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool # (/=) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #
Ord AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods compare :: AutoMLS3DataType -> AutoMLS3DataType -> Ordering # (<) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool # (<=) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool # (>) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool # (>=) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool # max :: AutoMLS3DataType -> AutoMLS3DataType -> AutoMLS3DataType # min :: AutoMLS3DataType -> AutoMLS3DataType -> AutoMLS3DataType #
Read AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods readsPrec :: Int -> ReadS AutoMLS3DataType # readList :: ReadS [AutoMLS3DataType] # readPrec :: ReadPrec AutoMLS3DataType # readListPrec :: ReadPrec [AutoMLS3DataType] #
Show AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods showsPrec :: Int -> AutoMLS3DataType -> ShowS # show :: AutoMLS3DataType -> String # showList :: [AutoMLS3DataType] -> ShowS #
Generic AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Associated Types type Rep AutoMLS3DataType :: Type -> Type # Methods from :: AutoMLS3DataType -> Rep AutoMLS3DataType x # to :: Rep AutoMLS3DataType x -> AutoMLS3DataType #
NFData AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods rnf :: AutoMLS3DataType -> () #
Hashable AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods hashWithSalt :: Int -> AutoMLS3DataType -> Int # hash :: AutoMLS3DataType -> Int #
ToJSON AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toJSON :: AutoMLS3DataType -> Value # toEncoding :: AutoMLS3DataType -> Encoding # toJSONList :: [AutoMLS3DataType] -> Value # toEncodingList :: [AutoMLS3DataType] -> Encoding #
ToJSONKey AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toJSONKey :: ToJSONKeyFunction AutoMLS3DataType # toJSONKeyList :: ToJSONKeyFunction [AutoMLS3DataType] #
FromJSON AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods parseJSON :: Value -> Parser AutoMLS3DataType # parseJSONList :: Value -> Parser [AutoMLS3DataType] #
FromJSONKey AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods fromJSONKey :: FromJSONKeyFunction AutoMLS3DataType # fromJSONKeyList :: FromJSONKeyFunction [AutoMLS3DataType] #
ToLog AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods build :: AutoMLS3DataType -> ByteStringBuilder #
ToHeader AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toHeader :: HeaderName -> AutoMLS3DataType -> [Header] #
ToQuery AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toQuery :: AutoMLS3DataType -> QueryString #
FromXML AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods parseXML :: [Node] -> Either String AutoMLS3DataType #
ToXML AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toXML :: AutoMLS3DataType -> XML #
ToByteString AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toBS :: AutoMLS3DataType -> ByteString #
FromText AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods fromText :: Text -> Either String AutoMLS3DataType #
ToText AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType Methods toText :: AutoMLS3DataType -> Text #
type Rep AutoMLS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataType type Rep AutoMLS3DataType = D1 ('MetaData "AutoMLS3DataType" "Amazonka.SageMaker.Types.AutoMLS3DataType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLS3DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLS3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLSortBy

newtype AutoMLSortBy Source #

Constructors

AutoMLSortBy'
Fields fromAutoMLSortBy :: Text

Bundled Patterns

pattern AutoMLSortBy_CreationTime :: AutoMLSortBy
pattern AutoMLSortBy_Name :: AutoMLSortBy
pattern AutoMLSortBy_Status :: AutoMLSortBy

Instances

Instances details

Eq AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods (==) :: AutoMLSortBy -> AutoMLSortBy -> Bool # (/=) :: AutoMLSortBy -> AutoMLSortBy -> Bool #
Ord AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods compare :: AutoMLSortBy -> AutoMLSortBy -> Ordering # (<) :: AutoMLSortBy -> AutoMLSortBy -> Bool # (<=) :: AutoMLSortBy -> AutoMLSortBy -> Bool # (>) :: AutoMLSortBy -> AutoMLSortBy -> Bool # (>=) :: AutoMLSortBy -> AutoMLSortBy -> Bool # max :: AutoMLSortBy -> AutoMLSortBy -> AutoMLSortBy # min :: AutoMLSortBy -> AutoMLSortBy -> AutoMLSortBy #
Read AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods readsPrec :: Int -> ReadS AutoMLSortBy # readList :: ReadS [AutoMLSortBy] # readPrec :: ReadPrec AutoMLSortBy # readListPrec :: ReadPrec [AutoMLSortBy] #
Show AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods showsPrec :: Int -> AutoMLSortBy -> ShowS # show :: AutoMLSortBy -> String # showList :: [AutoMLSortBy] -> ShowS #
Generic AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Associated Types type Rep AutoMLSortBy :: Type -> Type # Methods from :: AutoMLSortBy -> Rep AutoMLSortBy x # to :: Rep AutoMLSortBy x -> AutoMLSortBy #
NFData AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods rnf :: AutoMLSortBy -> () #
Hashable AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods hashWithSalt :: Int -> AutoMLSortBy -> Int # hash :: AutoMLSortBy -> Int #
ToJSON AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toJSON :: AutoMLSortBy -> Value # toEncoding :: AutoMLSortBy -> Encoding # toJSONList :: [AutoMLSortBy] -> Value # toEncodingList :: [AutoMLSortBy] -> Encoding #
ToJSONKey AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toJSONKey :: ToJSONKeyFunction AutoMLSortBy # toJSONKeyList :: ToJSONKeyFunction [AutoMLSortBy] #
FromJSON AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods parseJSON :: Value -> Parser AutoMLSortBy # parseJSONList :: Value -> Parser [AutoMLSortBy] #
FromJSONKey AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods fromJSONKey :: FromJSONKeyFunction AutoMLSortBy # fromJSONKeyList :: FromJSONKeyFunction [AutoMLSortBy] #
ToLog AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods build :: AutoMLSortBy -> ByteStringBuilder #
ToHeader AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toHeader :: HeaderName -> AutoMLSortBy -> [Header] #
ToQuery AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toQuery :: AutoMLSortBy -> QueryString #
FromXML AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods parseXML :: [Node] -> Either String AutoMLSortBy #
ToXML AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toXML :: AutoMLSortBy -> XML #
ToByteString AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toBS :: AutoMLSortBy -> ByteString #
FromText AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods fromText :: Text -> Either String AutoMLSortBy #
ToText AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy Methods toText :: AutoMLSortBy -> Text #
type Rep AutoMLSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortBy type Rep AutoMLSortBy = D1 ('MetaData "AutoMLSortBy" "Amazonka.SageMaker.Types.AutoMLSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLSortOrder

newtype AutoMLSortOrder Source #

Constructors

AutoMLSortOrder'
Fields fromAutoMLSortOrder :: Text

Bundled Patterns

pattern AutoMLSortOrder_Ascending :: AutoMLSortOrder
pattern AutoMLSortOrder_Descending :: AutoMLSortOrder

Instances

Instances details

Eq AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods (==) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool # (/=) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #
Ord AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods compare :: AutoMLSortOrder -> AutoMLSortOrder -> Ordering # (<) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool # (<=) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool # (>) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool # (>=) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool # max :: AutoMLSortOrder -> AutoMLSortOrder -> AutoMLSortOrder # min :: AutoMLSortOrder -> AutoMLSortOrder -> AutoMLSortOrder #
Read AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods readsPrec :: Int -> ReadS AutoMLSortOrder # readList :: ReadS [AutoMLSortOrder] # readPrec :: ReadPrec AutoMLSortOrder # readListPrec :: ReadPrec [AutoMLSortOrder] #
Show AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods showsPrec :: Int -> AutoMLSortOrder -> ShowS # show :: AutoMLSortOrder -> String # showList :: [AutoMLSortOrder] -> ShowS #
Generic AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Associated Types type Rep AutoMLSortOrder :: Type -> Type # Methods from :: AutoMLSortOrder -> Rep AutoMLSortOrder x # to :: Rep AutoMLSortOrder x -> AutoMLSortOrder #
NFData AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods rnf :: AutoMLSortOrder -> () #
Hashable AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods hashWithSalt :: Int -> AutoMLSortOrder -> Int # hash :: AutoMLSortOrder -> Int #
ToJSON AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toJSON :: AutoMLSortOrder -> Value # toEncoding :: AutoMLSortOrder -> Encoding # toJSONList :: [AutoMLSortOrder] -> Value # toEncodingList :: [AutoMLSortOrder] -> Encoding #
ToJSONKey AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toJSONKey :: ToJSONKeyFunction AutoMLSortOrder # toJSONKeyList :: ToJSONKeyFunction [AutoMLSortOrder] #
FromJSON AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods parseJSON :: Value -> Parser AutoMLSortOrder # parseJSONList :: Value -> Parser [AutoMLSortOrder] #
FromJSONKey AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods fromJSONKey :: FromJSONKeyFunction AutoMLSortOrder # fromJSONKeyList :: FromJSONKeyFunction [AutoMLSortOrder] #
ToLog AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods build :: AutoMLSortOrder -> ByteStringBuilder #
ToHeader AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toHeader :: HeaderName -> AutoMLSortOrder -> [Header] #
ToQuery AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toQuery :: AutoMLSortOrder -> QueryString #
FromXML AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods parseXML :: [Node] -> Either String AutoMLSortOrder #
ToXML AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toXML :: AutoMLSortOrder -> XML #
ToByteString AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toBS :: AutoMLSortOrder -> ByteString #
FromText AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods fromText :: Text -> Either String AutoMLSortOrder #
ToText AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder Methods toText :: AutoMLSortOrder -> Text #
type Rep AutoMLSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSortOrder type Rep AutoMLSortOrder = D1 ('MetaData "AutoMLSortOrder" "Amazonka.SageMaker.Types.AutoMLSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AutoMLSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AwsManagedHumanLoopRequestSource

newtype AwsManagedHumanLoopRequestSource Source #

Constructors

AwsManagedHumanLoopRequestSource'
Fields fromAwsManagedHumanLoopRequestSource :: Text

Bundled Patterns

pattern AwsManagedHumanLoopRequestSource_AWS_Rekognition_DetectModerationLabels_Image_V3 :: AwsManagedHumanLoopRequestSource
pattern AwsManagedHumanLoopRequestSource_AWS_Textract_AnalyzeDocument_Forms_V1 :: AwsManagedHumanLoopRequestSource

Instances

Instances details

Eq AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods (==) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool # (/=) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #
Ord AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods compare :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Ordering # (<) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool # (<=) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool # (>) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool # (>=) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool # max :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource # min :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource #
Read AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods readsPrec :: Int -> ReadS AwsManagedHumanLoopRequestSource # readList :: ReadS [AwsManagedHumanLoopRequestSource] # readPrec :: ReadPrec AwsManagedHumanLoopRequestSource # readListPrec :: ReadPrec [AwsManagedHumanLoopRequestSource] #
Show AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods showsPrec :: Int -> AwsManagedHumanLoopRequestSource -> ShowS # show :: AwsManagedHumanLoopRequestSource -> String # showList :: [AwsManagedHumanLoopRequestSource] -> ShowS #
Generic AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Associated Types type Rep AwsManagedHumanLoopRequestSource :: Type -> Type # Methods from :: AwsManagedHumanLoopRequestSource -> Rep AwsManagedHumanLoopRequestSource x # to :: Rep AwsManagedHumanLoopRequestSource x -> AwsManagedHumanLoopRequestSource #
NFData AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods rnf :: AwsManagedHumanLoopRequestSource -> () #
Hashable AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods hashWithSalt :: Int -> AwsManagedHumanLoopRequestSource -> Int # hash :: AwsManagedHumanLoopRequestSource -> Int #
ToJSON AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toJSON :: AwsManagedHumanLoopRequestSource -> Value # toEncoding :: AwsManagedHumanLoopRequestSource -> Encoding # toJSONList :: [AwsManagedHumanLoopRequestSource] -> Value # toEncodingList :: [AwsManagedHumanLoopRequestSource] -> Encoding #
ToJSONKey AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toJSONKey :: ToJSONKeyFunction AwsManagedHumanLoopRequestSource # toJSONKeyList :: ToJSONKeyFunction [AwsManagedHumanLoopRequestSource] #
FromJSON AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods parseJSON :: Value -> Parser AwsManagedHumanLoopRequestSource # parseJSONList :: Value -> Parser [AwsManagedHumanLoopRequestSource] #
FromJSONKey AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods fromJSONKey :: FromJSONKeyFunction AwsManagedHumanLoopRequestSource # fromJSONKeyList :: FromJSONKeyFunction [AwsManagedHumanLoopRequestSource] #
ToLog AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods build :: AwsManagedHumanLoopRequestSource -> ByteStringBuilder #
ToHeader AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toHeader :: HeaderName -> AwsManagedHumanLoopRequestSource -> [Header] #
ToQuery AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toQuery :: AwsManagedHumanLoopRequestSource -> QueryString #
FromXML AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods parseXML :: [Node] -> Either String AwsManagedHumanLoopRequestSource #
ToXML AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toXML :: AwsManagedHumanLoopRequestSource -> XML #
ToByteString AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toBS :: AwsManagedHumanLoopRequestSource -> ByteString #
FromText AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods fromText :: Text -> Either String AwsManagedHumanLoopRequestSource #
ToText AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource Methods toText :: AwsManagedHumanLoopRequestSource -> Text #
type Rep AwsManagedHumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource type Rep AwsManagedHumanLoopRequestSource = D1 ('MetaData "AwsManagedHumanLoopRequestSource" "Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "AwsManagedHumanLoopRequestSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAwsManagedHumanLoopRequestSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BatchStrategy

newtype BatchStrategy Source #

Constructors

BatchStrategy'
Fields fromBatchStrategy :: Text

Bundled Patterns

pattern BatchStrategy_MultiRecord :: BatchStrategy
pattern BatchStrategy_SingleRecord :: BatchStrategy

Instances

Instances details

Eq BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods (==) :: BatchStrategy -> BatchStrategy -> Bool # (/=) :: BatchStrategy -> BatchStrategy -> Bool #
Ord BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods compare :: BatchStrategy -> BatchStrategy -> Ordering # (<) :: BatchStrategy -> BatchStrategy -> Bool # (<=) :: BatchStrategy -> BatchStrategy -> Bool # (>) :: BatchStrategy -> BatchStrategy -> Bool # (>=) :: BatchStrategy -> BatchStrategy -> Bool # max :: BatchStrategy -> BatchStrategy -> BatchStrategy # min :: BatchStrategy -> BatchStrategy -> BatchStrategy #
Read BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods readsPrec :: Int -> ReadS BatchStrategy # readList :: ReadS [BatchStrategy] # readPrec :: ReadPrec BatchStrategy # readListPrec :: ReadPrec [BatchStrategy] #
Show BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods showsPrec :: Int -> BatchStrategy -> ShowS # show :: BatchStrategy -> String # showList :: [BatchStrategy] -> ShowS #
Generic BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Associated Types type Rep BatchStrategy :: Type -> Type # Methods from :: BatchStrategy -> Rep BatchStrategy x # to :: Rep BatchStrategy x -> BatchStrategy #
NFData BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods rnf :: BatchStrategy -> () #
Hashable BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods hashWithSalt :: Int -> BatchStrategy -> Int # hash :: BatchStrategy -> Int #
ToJSON BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toJSON :: BatchStrategy -> Value # toEncoding :: BatchStrategy -> Encoding # toJSONList :: [BatchStrategy] -> Value # toEncodingList :: [BatchStrategy] -> Encoding #
ToJSONKey BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toJSONKey :: ToJSONKeyFunction BatchStrategy # toJSONKeyList :: ToJSONKeyFunction [BatchStrategy] #
FromJSON BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods parseJSON :: Value -> Parser BatchStrategy # parseJSONList :: Value -> Parser [BatchStrategy] #
FromJSONKey BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods fromJSONKey :: FromJSONKeyFunction BatchStrategy # fromJSONKeyList :: FromJSONKeyFunction [BatchStrategy] #
ToLog BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods build :: BatchStrategy -> ByteStringBuilder #
ToHeader BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toHeader :: HeaderName -> BatchStrategy -> [Header] #
ToQuery BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toQuery :: BatchStrategy -> QueryString #
FromXML BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods parseXML :: [Node] -> Either String BatchStrategy #
ToXML BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toXML :: BatchStrategy -> XML #
ToByteString BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toBS :: BatchStrategy -> ByteString #
FromText BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods fromText :: Text -> Either String BatchStrategy #
ToText BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy Methods toText :: BatchStrategy -> Text #
type Rep BatchStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.BatchStrategy type Rep BatchStrategy = D1 ('MetaData "BatchStrategy" "Amazonka.SageMaker.Types.BatchStrategy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "BatchStrategy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromBatchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BooleanOperator

newtype BooleanOperator Source #

Constructors

BooleanOperator'
Fields fromBooleanOperator :: Text

Bundled Patterns

pattern BooleanOperator_And :: BooleanOperator
pattern BooleanOperator_Or :: BooleanOperator

Instances

Instances details

Eq BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods (==) :: BooleanOperator -> BooleanOperator -> Bool # (/=) :: BooleanOperator -> BooleanOperator -> Bool #
Ord BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods compare :: BooleanOperator -> BooleanOperator -> Ordering # (<) :: BooleanOperator -> BooleanOperator -> Bool # (<=) :: BooleanOperator -> BooleanOperator -> Bool # (>) :: BooleanOperator -> BooleanOperator -> Bool # (>=) :: BooleanOperator -> BooleanOperator -> Bool # max :: BooleanOperator -> BooleanOperator -> BooleanOperator # min :: BooleanOperator -> BooleanOperator -> BooleanOperator #
Read BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods readsPrec :: Int -> ReadS BooleanOperator # readList :: ReadS [BooleanOperator] # readPrec :: ReadPrec BooleanOperator # readListPrec :: ReadPrec [BooleanOperator] #
Show BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods showsPrec :: Int -> BooleanOperator -> ShowS # show :: BooleanOperator -> String # showList :: [BooleanOperator] -> ShowS #
Generic BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Associated Types type Rep BooleanOperator :: Type -> Type # Methods from :: BooleanOperator -> Rep BooleanOperator x # to :: Rep BooleanOperator x -> BooleanOperator #
NFData BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods rnf :: BooleanOperator -> () #
Hashable BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods hashWithSalt :: Int -> BooleanOperator -> Int # hash :: BooleanOperator -> Int #
ToJSON BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toJSON :: BooleanOperator -> Value # toEncoding :: BooleanOperator -> Encoding # toJSONList :: [BooleanOperator] -> Value # toEncodingList :: [BooleanOperator] -> Encoding #
ToJSONKey BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toJSONKey :: ToJSONKeyFunction BooleanOperator # toJSONKeyList :: ToJSONKeyFunction [BooleanOperator] #
FromJSON BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods parseJSON :: Value -> Parser BooleanOperator # parseJSONList :: Value -> Parser [BooleanOperator] #
FromJSONKey BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods fromJSONKey :: FromJSONKeyFunction BooleanOperator # fromJSONKeyList :: FromJSONKeyFunction [BooleanOperator] #
ToLog BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods build :: BooleanOperator -> ByteStringBuilder #
ToHeader BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toHeader :: HeaderName -> BooleanOperator -> [Header] #
ToQuery BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toQuery :: BooleanOperator -> QueryString #
FromXML BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods parseXML :: [Node] -> Either String BooleanOperator #
ToXML BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toXML :: BooleanOperator -> XML #
ToByteString BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toBS :: BooleanOperator -> ByteString #
FromText BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods fromText :: Text -> Either String BooleanOperator #
ToText BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator Methods toText :: BooleanOperator -> Text #
type Rep BooleanOperator Source #
Instance details Defined in Amazonka.SageMaker.Types.BooleanOperator type Rep BooleanOperator = D1 ('MetaData "BooleanOperator" "Amazonka.SageMaker.Types.BooleanOperator" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "BooleanOperator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromBooleanOperator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CandidateSortBy

newtype CandidateSortBy Source #

Constructors

CandidateSortBy'
Fields fromCandidateSortBy :: Text

Bundled Patterns

pattern CandidateSortBy_CreationTime :: CandidateSortBy
pattern CandidateSortBy_FinalObjectiveMetricValue :: CandidateSortBy
pattern CandidateSortBy_Status :: CandidateSortBy

Instances

Instances details

Eq CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods (==) :: CandidateSortBy -> CandidateSortBy -> Bool # (/=) :: CandidateSortBy -> CandidateSortBy -> Bool #
Ord CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods compare :: CandidateSortBy -> CandidateSortBy -> Ordering # (<) :: CandidateSortBy -> CandidateSortBy -> Bool # (<=) :: CandidateSortBy -> CandidateSortBy -> Bool # (>) :: CandidateSortBy -> CandidateSortBy -> Bool # (>=) :: CandidateSortBy -> CandidateSortBy -> Bool # max :: CandidateSortBy -> CandidateSortBy -> CandidateSortBy # min :: CandidateSortBy -> CandidateSortBy -> CandidateSortBy #
Read CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods readsPrec :: Int -> ReadS CandidateSortBy # readList :: ReadS [CandidateSortBy] # readPrec :: ReadPrec CandidateSortBy # readListPrec :: ReadPrec [CandidateSortBy] #
Show CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods showsPrec :: Int -> CandidateSortBy -> ShowS # show :: CandidateSortBy -> String # showList :: [CandidateSortBy] -> ShowS #
Generic CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Associated Types type Rep CandidateSortBy :: Type -> Type # Methods from :: CandidateSortBy -> Rep CandidateSortBy x # to :: Rep CandidateSortBy x -> CandidateSortBy #
NFData CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods rnf :: CandidateSortBy -> () #
Hashable CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods hashWithSalt :: Int -> CandidateSortBy -> Int # hash :: CandidateSortBy -> Int #
ToJSON CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toJSON :: CandidateSortBy -> Value # toEncoding :: CandidateSortBy -> Encoding # toJSONList :: [CandidateSortBy] -> Value # toEncodingList :: [CandidateSortBy] -> Encoding #
ToJSONKey CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toJSONKey :: ToJSONKeyFunction CandidateSortBy # toJSONKeyList :: ToJSONKeyFunction [CandidateSortBy] #
FromJSON CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods parseJSON :: Value -> Parser CandidateSortBy # parseJSONList :: Value -> Parser [CandidateSortBy] #
FromJSONKey CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods fromJSONKey :: FromJSONKeyFunction CandidateSortBy # fromJSONKeyList :: FromJSONKeyFunction [CandidateSortBy] #
ToLog CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods build :: CandidateSortBy -> ByteStringBuilder #
ToHeader CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toHeader :: HeaderName -> CandidateSortBy -> [Header] #
ToQuery CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toQuery :: CandidateSortBy -> QueryString #
FromXML CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods parseXML :: [Node] -> Either String CandidateSortBy #
ToXML CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toXML :: CandidateSortBy -> XML #
ToByteString CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toBS :: CandidateSortBy -> ByteString #
FromText CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods fromText :: Text -> Either String CandidateSortBy #
ToText CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy Methods toText :: CandidateSortBy -> Text #
type Rep CandidateSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateSortBy type Rep CandidateSortBy = D1 ('MetaData "CandidateSortBy" "Amazonka.SageMaker.Types.CandidateSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CandidateSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCandidateSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CandidateStatus

newtype CandidateStatus Source #

Constructors

CandidateStatus'
Fields fromCandidateStatus :: Text

Bundled Patterns

pattern CandidateStatus_Completed :: CandidateStatus
pattern CandidateStatus_Failed :: CandidateStatus
pattern CandidateStatus_InProgress :: CandidateStatus
pattern CandidateStatus_Stopped :: CandidateStatus
pattern CandidateStatus_Stopping :: CandidateStatus

Instances

Instances details

Eq CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods (==) :: CandidateStatus -> CandidateStatus -> Bool # (/=) :: CandidateStatus -> CandidateStatus -> Bool #
Ord CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods compare :: CandidateStatus -> CandidateStatus -> Ordering # (<) :: CandidateStatus -> CandidateStatus -> Bool # (<=) :: CandidateStatus -> CandidateStatus -> Bool # (>) :: CandidateStatus -> CandidateStatus -> Bool # (>=) :: CandidateStatus -> CandidateStatus -> Bool # max :: CandidateStatus -> CandidateStatus -> CandidateStatus # min :: CandidateStatus -> CandidateStatus -> CandidateStatus #
Read CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods readsPrec :: Int -> ReadS CandidateStatus # readList :: ReadS [CandidateStatus] # readPrec :: ReadPrec CandidateStatus # readListPrec :: ReadPrec [CandidateStatus] #
Show CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods showsPrec :: Int -> CandidateStatus -> ShowS # show :: CandidateStatus -> String # showList :: [CandidateStatus] -> ShowS #
Generic CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Associated Types type Rep CandidateStatus :: Type -> Type # Methods from :: CandidateStatus -> Rep CandidateStatus x # to :: Rep CandidateStatus x -> CandidateStatus #
NFData CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods rnf :: CandidateStatus -> () #
Hashable CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods hashWithSalt :: Int -> CandidateStatus -> Int # hash :: CandidateStatus -> Int #
ToJSON CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toJSON :: CandidateStatus -> Value # toEncoding :: CandidateStatus -> Encoding # toJSONList :: [CandidateStatus] -> Value # toEncodingList :: [CandidateStatus] -> Encoding #
ToJSONKey CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toJSONKey :: ToJSONKeyFunction CandidateStatus # toJSONKeyList :: ToJSONKeyFunction [CandidateStatus] #
FromJSON CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods parseJSON :: Value -> Parser CandidateStatus # parseJSONList :: Value -> Parser [CandidateStatus] #
FromJSONKey CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods fromJSONKey :: FromJSONKeyFunction CandidateStatus # fromJSONKeyList :: FromJSONKeyFunction [CandidateStatus] #
ToLog CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods build :: CandidateStatus -> ByteStringBuilder #
ToHeader CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toHeader :: HeaderName -> CandidateStatus -> [Header] #
ToQuery CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toQuery :: CandidateStatus -> QueryString #
FromXML CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods parseXML :: [Node] -> Either String CandidateStatus #
ToXML CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toXML :: CandidateStatus -> XML #
ToByteString CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toBS :: CandidateStatus -> ByteString #
FromText CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods fromText :: Text -> Either String CandidateStatus #
ToText CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus Methods toText :: CandidateStatus -> Text #
type Rep CandidateStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStatus type Rep CandidateStatus = D1 ('MetaData "CandidateStatus" "Amazonka.SageMaker.Types.CandidateStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CandidateStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCandidateStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CandidateStepType

newtype CandidateStepType Source #

Constructors

CandidateStepType'
Fields fromCandidateStepType :: Text

Bundled Patterns

pattern CandidateStepType_AWS__SageMaker__ProcessingJob :: CandidateStepType
pattern CandidateStepType_AWS__SageMaker__TrainingJob :: CandidateStepType
pattern CandidateStepType_AWS__SageMaker__TransformJob :: CandidateStepType

Instances

Instances details

Eq CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods (==) :: CandidateStepType -> CandidateStepType -> Bool # (/=) :: CandidateStepType -> CandidateStepType -> Bool #
Ord CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods compare :: CandidateStepType -> CandidateStepType -> Ordering # (<) :: CandidateStepType -> CandidateStepType -> Bool # (<=) :: CandidateStepType -> CandidateStepType -> Bool # (>) :: CandidateStepType -> CandidateStepType -> Bool # (>=) :: CandidateStepType -> CandidateStepType -> Bool # max :: CandidateStepType -> CandidateStepType -> CandidateStepType # min :: CandidateStepType -> CandidateStepType -> CandidateStepType #
Read CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods readsPrec :: Int -> ReadS CandidateStepType # readList :: ReadS [CandidateStepType] # readPrec :: ReadPrec CandidateStepType # readListPrec :: ReadPrec [CandidateStepType] #
Show CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods showsPrec :: Int -> CandidateStepType -> ShowS # show :: CandidateStepType -> String # showList :: [CandidateStepType] -> ShowS #
Generic CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Associated Types type Rep CandidateStepType :: Type -> Type # Methods from :: CandidateStepType -> Rep CandidateStepType x # to :: Rep CandidateStepType x -> CandidateStepType #
NFData CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods rnf :: CandidateStepType -> () #
Hashable CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods hashWithSalt :: Int -> CandidateStepType -> Int # hash :: CandidateStepType -> Int #
ToJSON CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toJSON :: CandidateStepType -> Value # toEncoding :: CandidateStepType -> Encoding # toJSONList :: [CandidateStepType] -> Value # toEncodingList :: [CandidateStepType] -> Encoding #
ToJSONKey CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toJSONKey :: ToJSONKeyFunction CandidateStepType # toJSONKeyList :: ToJSONKeyFunction [CandidateStepType] #
FromJSON CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods parseJSON :: Value -> Parser CandidateStepType # parseJSONList :: Value -> Parser [CandidateStepType] #
FromJSONKey CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods fromJSONKey :: FromJSONKeyFunction CandidateStepType # fromJSONKeyList :: FromJSONKeyFunction [CandidateStepType] #
ToLog CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods build :: CandidateStepType -> ByteStringBuilder #
ToHeader CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toHeader :: HeaderName -> CandidateStepType -> [Header] #
ToQuery CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toQuery :: CandidateStepType -> QueryString #
FromXML CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods parseXML :: [Node] -> Either String CandidateStepType #
ToXML CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toXML :: CandidateStepType -> XML #
ToByteString CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toBS :: CandidateStepType -> ByteString #
FromText CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods fromText :: Text -> Either String CandidateStepType #
ToText CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType Methods toText :: CandidateStepType -> Text #
type Rep CandidateStepType Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateStepType type Rep CandidateStepType = D1 ('MetaData "CandidateStepType" "Amazonka.SageMaker.Types.CandidateStepType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CandidateStepType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCandidateStepType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CapacitySizeType

newtype CapacitySizeType Source #

Constructors

CapacitySizeType'
Fields fromCapacitySizeType :: Text

Bundled Patterns

pattern CapacitySizeType_CAPACITY_PERCENT :: CapacitySizeType
pattern CapacitySizeType_INSTANCE_COUNT :: CapacitySizeType

Instances

Instances details

Eq CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods (==) :: CapacitySizeType -> CapacitySizeType -> Bool # (/=) :: CapacitySizeType -> CapacitySizeType -> Bool #
Ord CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods compare :: CapacitySizeType -> CapacitySizeType -> Ordering # (<) :: CapacitySizeType -> CapacitySizeType -> Bool # (<=) :: CapacitySizeType -> CapacitySizeType -> Bool # (>) :: CapacitySizeType -> CapacitySizeType -> Bool # (>=) :: CapacitySizeType -> CapacitySizeType -> Bool # max :: CapacitySizeType -> CapacitySizeType -> CapacitySizeType # min :: CapacitySizeType -> CapacitySizeType -> CapacitySizeType #
Read CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods readsPrec :: Int -> ReadS CapacitySizeType # readList :: ReadS [CapacitySizeType] # readPrec :: ReadPrec CapacitySizeType # readListPrec :: ReadPrec [CapacitySizeType] #
Show CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods showsPrec :: Int -> CapacitySizeType -> ShowS # show :: CapacitySizeType -> String # showList :: [CapacitySizeType] -> ShowS #
Generic CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Associated Types type Rep CapacitySizeType :: Type -> Type # Methods from :: CapacitySizeType -> Rep CapacitySizeType x # to :: Rep CapacitySizeType x -> CapacitySizeType #
NFData CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods rnf :: CapacitySizeType -> () #
Hashable CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods hashWithSalt :: Int -> CapacitySizeType -> Int # hash :: CapacitySizeType -> Int #
ToJSON CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toJSON :: CapacitySizeType -> Value # toEncoding :: CapacitySizeType -> Encoding # toJSONList :: [CapacitySizeType] -> Value # toEncodingList :: [CapacitySizeType] -> Encoding #
ToJSONKey CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toJSONKey :: ToJSONKeyFunction CapacitySizeType # toJSONKeyList :: ToJSONKeyFunction [CapacitySizeType] #
FromJSON CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods parseJSON :: Value -> Parser CapacitySizeType # parseJSONList :: Value -> Parser [CapacitySizeType] #
FromJSONKey CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods fromJSONKey :: FromJSONKeyFunction CapacitySizeType # fromJSONKeyList :: FromJSONKeyFunction [CapacitySizeType] #
ToLog CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods build :: CapacitySizeType -> ByteStringBuilder #
ToHeader CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toHeader :: HeaderName -> CapacitySizeType -> [Header] #
ToQuery CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toQuery :: CapacitySizeType -> QueryString #
FromXML CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods parseXML :: [Node] -> Either String CapacitySizeType #
ToXML CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toXML :: CapacitySizeType -> XML #
ToByteString CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toBS :: CapacitySizeType -> ByteString #
FromText CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods fromText :: Text -> Either String CapacitySizeType #
ToText CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType Methods toText :: CapacitySizeType -> Text #
type Rep CapacitySizeType Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySizeType type Rep CapacitySizeType = D1 ('MetaData "CapacitySizeType" "Amazonka.SageMaker.Types.CapacitySizeType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CapacitySizeType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCapacitySizeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CaptureMode

newtype CaptureMode Source #

Constructors

CaptureMode'
Fields fromCaptureMode :: Text

Bundled Patterns

pattern CaptureMode_Input :: CaptureMode
pattern CaptureMode_Output :: CaptureMode

Instances

Instances details

Eq CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods (==) :: CaptureMode -> CaptureMode -> Bool # (/=) :: CaptureMode -> CaptureMode -> Bool #
Ord CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods compare :: CaptureMode -> CaptureMode -> Ordering # (<) :: CaptureMode -> CaptureMode -> Bool # (<=) :: CaptureMode -> CaptureMode -> Bool # (>) :: CaptureMode -> CaptureMode -> Bool # (>=) :: CaptureMode -> CaptureMode -> Bool # max :: CaptureMode -> CaptureMode -> CaptureMode # min :: CaptureMode -> CaptureMode -> CaptureMode #
Read CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods readsPrec :: Int -> ReadS CaptureMode # readList :: ReadS [CaptureMode] # readPrec :: ReadPrec CaptureMode # readListPrec :: ReadPrec [CaptureMode] #
Show CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods showsPrec :: Int -> CaptureMode -> ShowS # show :: CaptureMode -> String # showList :: [CaptureMode] -> ShowS #
Generic CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Associated Types type Rep CaptureMode :: Type -> Type # Methods from :: CaptureMode -> Rep CaptureMode x # to :: Rep CaptureMode x -> CaptureMode #
NFData CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods rnf :: CaptureMode -> () #
Hashable CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods hashWithSalt :: Int -> CaptureMode -> Int # hash :: CaptureMode -> Int #
ToJSON CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toJSON :: CaptureMode -> Value # toEncoding :: CaptureMode -> Encoding # toJSONList :: [CaptureMode] -> Value # toEncodingList :: [CaptureMode] -> Encoding #
ToJSONKey CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toJSONKey :: ToJSONKeyFunction CaptureMode # toJSONKeyList :: ToJSONKeyFunction [CaptureMode] #
FromJSON CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods parseJSON :: Value -> Parser CaptureMode # parseJSONList :: Value -> Parser [CaptureMode] #
FromJSONKey CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods fromJSONKey :: FromJSONKeyFunction CaptureMode # fromJSONKeyList :: FromJSONKeyFunction [CaptureMode] #
ToLog CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods build :: CaptureMode -> ByteStringBuilder #
ToHeader CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toHeader :: HeaderName -> CaptureMode -> [Header] #
ToQuery CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toQuery :: CaptureMode -> QueryString #
FromXML CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods parseXML :: [Node] -> Either String CaptureMode #
ToXML CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toXML :: CaptureMode -> XML #
ToByteString CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toBS :: CaptureMode -> ByteString #
FromText CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods fromText :: Text -> Either String CaptureMode #
ToText CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode Methods toText :: CaptureMode -> Text #
type Rep CaptureMode Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureMode type Rep CaptureMode = D1 ('MetaData "CaptureMode" "Amazonka.SageMaker.Types.CaptureMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CaptureMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCaptureMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CaptureStatus

newtype CaptureStatus Source #

Constructors

CaptureStatus'
Fields fromCaptureStatus :: Text

Bundled Patterns

pattern CaptureStatus_Started :: CaptureStatus
pattern CaptureStatus_Stopped :: CaptureStatus

Instances

Instances details

Eq CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods (==) :: CaptureStatus -> CaptureStatus -> Bool # (/=) :: CaptureStatus -> CaptureStatus -> Bool #
Ord CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods compare :: CaptureStatus -> CaptureStatus -> Ordering # (<) :: CaptureStatus -> CaptureStatus -> Bool # (<=) :: CaptureStatus -> CaptureStatus -> Bool # (>) :: CaptureStatus -> CaptureStatus -> Bool # (>=) :: CaptureStatus -> CaptureStatus -> Bool # max :: CaptureStatus -> CaptureStatus -> CaptureStatus # min :: CaptureStatus -> CaptureStatus -> CaptureStatus #
Read CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods readsPrec :: Int -> ReadS CaptureStatus # readList :: ReadS [CaptureStatus] # readPrec :: ReadPrec CaptureStatus # readListPrec :: ReadPrec [CaptureStatus] #
Show CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods showsPrec :: Int -> CaptureStatus -> ShowS # show :: CaptureStatus -> String # showList :: [CaptureStatus] -> ShowS #
Generic CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Associated Types type Rep CaptureStatus :: Type -> Type # Methods from :: CaptureStatus -> Rep CaptureStatus x # to :: Rep CaptureStatus x -> CaptureStatus #
NFData CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods rnf :: CaptureStatus -> () #
Hashable CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods hashWithSalt :: Int -> CaptureStatus -> Int # hash :: CaptureStatus -> Int #
ToJSON CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toJSON :: CaptureStatus -> Value # toEncoding :: CaptureStatus -> Encoding # toJSONList :: [CaptureStatus] -> Value # toEncodingList :: [CaptureStatus] -> Encoding #
ToJSONKey CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toJSONKey :: ToJSONKeyFunction CaptureStatus # toJSONKeyList :: ToJSONKeyFunction [CaptureStatus] #
FromJSON CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods parseJSON :: Value -> Parser CaptureStatus # parseJSONList :: Value -> Parser [CaptureStatus] #
FromJSONKey CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods fromJSONKey :: FromJSONKeyFunction CaptureStatus # fromJSONKeyList :: FromJSONKeyFunction [CaptureStatus] #
ToLog CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods build :: CaptureStatus -> ByteStringBuilder #
ToHeader CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toHeader :: HeaderName -> CaptureStatus -> [Header] #
ToQuery CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toQuery :: CaptureStatus -> QueryString #
FromXML CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods parseXML :: [Node] -> Either String CaptureStatus #
ToXML CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toXML :: CaptureStatus -> XML #
ToByteString CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toBS :: CaptureStatus -> ByteString #
FromText CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods fromText :: Text -> Either String CaptureStatus #
ToText CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus Methods toText :: CaptureStatus -> Text #
type Rep CaptureStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureStatus type Rep CaptureStatus = D1 ('MetaData "CaptureStatus" "Amazonka.SageMaker.Types.CaptureStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CaptureStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCaptureStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CodeRepositorySortBy

newtype CodeRepositorySortBy Source #

Constructors

CodeRepositorySortBy'
Fields fromCodeRepositorySortBy :: Text

Bundled Patterns

pattern CodeRepositorySortBy_CreationTime :: CodeRepositorySortBy
pattern CodeRepositorySortBy_LastModifiedTime :: CodeRepositorySortBy
pattern CodeRepositorySortBy_Name :: CodeRepositorySortBy

Instances

Instances details

Eq CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods (==) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool # (/=) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #
Ord CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods compare :: CodeRepositorySortBy -> CodeRepositorySortBy -> Ordering # (<) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool # (<=) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool # (>) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool # (>=) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool # max :: CodeRepositorySortBy -> CodeRepositorySortBy -> CodeRepositorySortBy # min :: CodeRepositorySortBy -> CodeRepositorySortBy -> CodeRepositorySortBy #
Read CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods readsPrec :: Int -> ReadS CodeRepositorySortBy # readList :: ReadS [CodeRepositorySortBy] # readPrec :: ReadPrec CodeRepositorySortBy # readListPrec :: ReadPrec [CodeRepositorySortBy] #
Show CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods showsPrec :: Int -> CodeRepositorySortBy -> ShowS # show :: CodeRepositorySortBy -> String # showList :: [CodeRepositorySortBy] -> ShowS #
Generic CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Associated Types type Rep CodeRepositorySortBy :: Type -> Type # Methods from :: CodeRepositorySortBy -> Rep CodeRepositorySortBy x # to :: Rep CodeRepositorySortBy x -> CodeRepositorySortBy #
NFData CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods rnf :: CodeRepositorySortBy -> () #
Hashable CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods hashWithSalt :: Int -> CodeRepositorySortBy -> Int # hash :: CodeRepositorySortBy -> Int #
ToJSON CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toJSON :: CodeRepositorySortBy -> Value # toEncoding :: CodeRepositorySortBy -> Encoding # toJSONList :: [CodeRepositorySortBy] -> Value # toEncodingList :: [CodeRepositorySortBy] -> Encoding #
ToJSONKey CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toJSONKey :: ToJSONKeyFunction CodeRepositorySortBy # toJSONKeyList :: ToJSONKeyFunction [CodeRepositorySortBy] #
FromJSON CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods parseJSON :: Value -> Parser CodeRepositorySortBy # parseJSONList :: Value -> Parser [CodeRepositorySortBy] #
FromJSONKey CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods fromJSONKey :: FromJSONKeyFunction CodeRepositorySortBy # fromJSONKeyList :: FromJSONKeyFunction [CodeRepositorySortBy] #
ToLog CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods build :: CodeRepositorySortBy -> ByteStringBuilder #
ToHeader CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toHeader :: HeaderName -> CodeRepositorySortBy -> [Header] #
ToQuery CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toQuery :: CodeRepositorySortBy -> QueryString #
FromXML CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods parseXML :: [Node] -> Either String CodeRepositorySortBy #
ToXML CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toXML :: CodeRepositorySortBy -> XML #
ToByteString CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toBS :: CodeRepositorySortBy -> ByteString #
FromText CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods fromText :: Text -> Either String CodeRepositorySortBy #
ToText CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy Methods toText :: CodeRepositorySortBy -> Text #
type Rep CodeRepositorySortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy type Rep CodeRepositorySortBy = D1 ('MetaData "CodeRepositorySortBy" "Amazonka.SageMaker.Types.CodeRepositorySortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CodeRepositorySortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCodeRepositorySortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CodeRepositorySortOrder

newtype CodeRepositorySortOrder Source #

Constructors

CodeRepositorySortOrder'
Fields fromCodeRepositorySortOrder :: Text

Bundled Patterns

pattern CodeRepositorySortOrder_Ascending :: CodeRepositorySortOrder
pattern CodeRepositorySortOrder_Descending :: CodeRepositorySortOrder

Instances

Instances details

Eq CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods (==) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool # (/=) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #
Ord CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods compare :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Ordering # (<) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool # (<=) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool # (>) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool # (>=) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool # max :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> CodeRepositorySortOrder # min :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> CodeRepositorySortOrder #
Read CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods readsPrec :: Int -> ReadS CodeRepositorySortOrder # readList :: ReadS [CodeRepositorySortOrder] # readPrec :: ReadPrec CodeRepositorySortOrder # readListPrec :: ReadPrec [CodeRepositorySortOrder] #
Show CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods showsPrec :: Int -> CodeRepositorySortOrder -> ShowS # show :: CodeRepositorySortOrder -> String # showList :: [CodeRepositorySortOrder] -> ShowS #
Generic CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Associated Types type Rep CodeRepositorySortOrder :: Type -> Type # Methods from :: CodeRepositorySortOrder -> Rep CodeRepositorySortOrder x # to :: Rep CodeRepositorySortOrder x -> CodeRepositorySortOrder #
NFData CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods rnf :: CodeRepositorySortOrder -> () #
Hashable CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods hashWithSalt :: Int -> CodeRepositorySortOrder -> Int # hash :: CodeRepositorySortOrder -> Int #
ToJSON CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toJSON :: CodeRepositorySortOrder -> Value # toEncoding :: CodeRepositorySortOrder -> Encoding # toJSONList :: [CodeRepositorySortOrder] -> Value # toEncodingList :: [CodeRepositorySortOrder] -> Encoding #
ToJSONKey CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toJSONKey :: ToJSONKeyFunction CodeRepositorySortOrder # toJSONKeyList :: ToJSONKeyFunction [CodeRepositorySortOrder] #
FromJSON CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods parseJSON :: Value -> Parser CodeRepositorySortOrder # parseJSONList :: Value -> Parser [CodeRepositorySortOrder] #
FromJSONKey CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods fromJSONKey :: FromJSONKeyFunction CodeRepositorySortOrder # fromJSONKeyList :: FromJSONKeyFunction [CodeRepositorySortOrder] #
ToLog CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods build :: CodeRepositorySortOrder -> ByteStringBuilder #
ToHeader CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toHeader :: HeaderName -> CodeRepositorySortOrder -> [Header] #
ToQuery CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toQuery :: CodeRepositorySortOrder -> QueryString #
FromXML CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods parseXML :: [Node] -> Either String CodeRepositorySortOrder #
ToXML CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toXML :: CodeRepositorySortOrder -> XML #
ToByteString CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toBS :: CodeRepositorySortOrder -> ByteString #
FromText CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods fromText :: Text -> Either String CodeRepositorySortOrder #
ToText CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder Methods toText :: CodeRepositorySortOrder -> Text #
type Rep CodeRepositorySortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder type Rep CodeRepositorySortOrder = D1 ('MetaData "CodeRepositorySortOrder" "Amazonka.SageMaker.Types.CodeRepositorySortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CodeRepositorySortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCodeRepositorySortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CompilationJobStatus

newtype CompilationJobStatus Source #

Constructors

CompilationJobStatus'
Fields fromCompilationJobStatus :: Text

Bundled Patterns

pattern CompilationJobStatus_COMPLETED :: CompilationJobStatus
pattern CompilationJobStatus_FAILED :: CompilationJobStatus
pattern CompilationJobStatus_INPROGRESS :: CompilationJobStatus
pattern CompilationJobStatus_STARTING :: CompilationJobStatus
pattern CompilationJobStatus_STOPPED :: CompilationJobStatus
pattern CompilationJobStatus_STOPPING :: CompilationJobStatus

Instances

Instances details

Eq CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods (==) :: CompilationJobStatus -> CompilationJobStatus -> Bool # (/=) :: CompilationJobStatus -> CompilationJobStatus -> Bool #
Ord CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods compare :: CompilationJobStatus -> CompilationJobStatus -> Ordering # (<) :: CompilationJobStatus -> CompilationJobStatus -> Bool # (<=) :: CompilationJobStatus -> CompilationJobStatus -> Bool # (>) :: CompilationJobStatus -> CompilationJobStatus -> Bool # (>=) :: CompilationJobStatus -> CompilationJobStatus -> Bool # max :: CompilationJobStatus -> CompilationJobStatus -> CompilationJobStatus # min :: CompilationJobStatus -> CompilationJobStatus -> CompilationJobStatus #
Read CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods readsPrec :: Int -> ReadS CompilationJobStatus # readList :: ReadS [CompilationJobStatus] # readPrec :: ReadPrec CompilationJobStatus # readListPrec :: ReadPrec [CompilationJobStatus] #
Show CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods showsPrec :: Int -> CompilationJobStatus -> ShowS # show :: CompilationJobStatus -> String # showList :: [CompilationJobStatus] -> ShowS #
Generic CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Associated Types type Rep CompilationJobStatus :: Type -> Type # Methods from :: CompilationJobStatus -> Rep CompilationJobStatus x # to :: Rep CompilationJobStatus x -> CompilationJobStatus #
NFData CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods rnf :: CompilationJobStatus -> () #
Hashable CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods hashWithSalt :: Int -> CompilationJobStatus -> Int # hash :: CompilationJobStatus -> Int #
ToJSON CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toJSON :: CompilationJobStatus -> Value # toEncoding :: CompilationJobStatus -> Encoding # toJSONList :: [CompilationJobStatus] -> Value # toEncodingList :: [CompilationJobStatus] -> Encoding #
ToJSONKey CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toJSONKey :: ToJSONKeyFunction CompilationJobStatus # toJSONKeyList :: ToJSONKeyFunction [CompilationJobStatus] #
FromJSON CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods parseJSON :: Value -> Parser CompilationJobStatus # parseJSONList :: Value -> Parser [CompilationJobStatus] #
FromJSONKey CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods fromJSONKey :: FromJSONKeyFunction CompilationJobStatus # fromJSONKeyList :: FromJSONKeyFunction [CompilationJobStatus] #
ToLog CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods build :: CompilationJobStatus -> ByteStringBuilder #
ToHeader CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toHeader :: HeaderName -> CompilationJobStatus -> [Header] #
ToQuery CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toQuery :: CompilationJobStatus -> QueryString #
FromXML CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods parseXML :: [Node] -> Either String CompilationJobStatus #
ToXML CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toXML :: CompilationJobStatus -> XML #
ToByteString CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toBS :: CompilationJobStatus -> ByteString #
FromText CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods fromText :: Text -> Either String CompilationJobStatus #
ToText CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus Methods toText :: CompilationJobStatus -> Text #
type Rep CompilationJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobStatus type Rep CompilationJobStatus = D1 ('MetaData "CompilationJobStatus" "Amazonka.SageMaker.Types.CompilationJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CompilationJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCompilationJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CompressionType

newtype CompressionType Source #

Constructors

CompressionType'
Fields fromCompressionType :: Text

Bundled Patterns

pattern CompressionType_Gzip :: CompressionType
pattern CompressionType_None :: CompressionType

Instances

Instances details

Eq CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods (==) :: CompressionType -> CompressionType -> Bool # (/=) :: CompressionType -> CompressionType -> Bool #
Ord CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods compare :: CompressionType -> CompressionType -> Ordering # (<) :: CompressionType -> CompressionType -> Bool # (<=) :: CompressionType -> CompressionType -> Bool # (>) :: CompressionType -> CompressionType -> Bool # (>=) :: CompressionType -> CompressionType -> Bool # max :: CompressionType -> CompressionType -> CompressionType # min :: CompressionType -> CompressionType -> CompressionType #
Read CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods readsPrec :: Int -> ReadS CompressionType # readList :: ReadS [CompressionType] # readPrec :: ReadPrec CompressionType # readListPrec :: ReadPrec [CompressionType] #
Show CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods showsPrec :: Int -> CompressionType -> ShowS # show :: CompressionType -> String # showList :: [CompressionType] -> ShowS #
Generic CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Associated Types type Rep CompressionType :: Type -> Type # Methods from :: CompressionType -> Rep CompressionType x # to :: Rep CompressionType x -> CompressionType #
NFData CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods rnf :: CompressionType -> () #
Hashable CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods hashWithSalt :: Int -> CompressionType -> Int # hash :: CompressionType -> Int #
ToJSON CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toJSON :: CompressionType -> Value # toEncoding :: CompressionType -> Encoding # toJSONList :: [CompressionType] -> Value # toEncodingList :: [CompressionType] -> Encoding #
ToJSONKey CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toJSONKey :: ToJSONKeyFunction CompressionType # toJSONKeyList :: ToJSONKeyFunction [CompressionType] #
FromJSON CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods parseJSON :: Value -> Parser CompressionType # parseJSONList :: Value -> Parser [CompressionType] #
FromJSONKey CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods fromJSONKey :: FromJSONKeyFunction CompressionType # fromJSONKeyList :: FromJSONKeyFunction [CompressionType] #
ToLog CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods build :: CompressionType -> ByteStringBuilder #
ToHeader CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toHeader :: HeaderName -> CompressionType -> [Header] #
ToQuery CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toQuery :: CompressionType -> QueryString #
FromXML CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods parseXML :: [Node] -> Either String CompressionType #
ToXML CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toXML :: CompressionType -> XML #
ToByteString CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toBS :: CompressionType -> ByteString #
FromText CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods fromText :: Text -> Either String CompressionType #
ToText CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType Methods toText :: CompressionType -> Text #
type Rep CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.CompressionType type Rep CompressionType = D1 ('MetaData "CompressionType" "Amazonka.SageMaker.Types.CompressionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "CompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ConditionOutcome

newtype ConditionOutcome Source #

Constructors

ConditionOutcome'
Fields fromConditionOutcome :: Text

Bundled Patterns

pattern ConditionOutcome_False :: ConditionOutcome
pattern ConditionOutcome_True :: ConditionOutcome

Instances

Instances details

Eq ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods (==) :: ConditionOutcome -> ConditionOutcome -> Bool # (/=) :: ConditionOutcome -> ConditionOutcome -> Bool #
Ord ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods compare :: ConditionOutcome -> ConditionOutcome -> Ordering # (<) :: ConditionOutcome -> ConditionOutcome -> Bool # (<=) :: ConditionOutcome -> ConditionOutcome -> Bool # (>) :: ConditionOutcome -> ConditionOutcome -> Bool # (>=) :: ConditionOutcome -> ConditionOutcome -> Bool # max :: ConditionOutcome -> ConditionOutcome -> ConditionOutcome # min :: ConditionOutcome -> ConditionOutcome -> ConditionOutcome #
Read ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods readsPrec :: Int -> ReadS ConditionOutcome # readList :: ReadS [ConditionOutcome] # readPrec :: ReadPrec ConditionOutcome # readListPrec :: ReadPrec [ConditionOutcome] #
Show ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods showsPrec :: Int -> ConditionOutcome -> ShowS # show :: ConditionOutcome -> String # showList :: [ConditionOutcome] -> ShowS #
Generic ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Associated Types type Rep ConditionOutcome :: Type -> Type # Methods from :: ConditionOutcome -> Rep ConditionOutcome x # to :: Rep ConditionOutcome x -> ConditionOutcome #
NFData ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods rnf :: ConditionOutcome -> () #
Hashable ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods hashWithSalt :: Int -> ConditionOutcome -> Int # hash :: ConditionOutcome -> Int #
ToJSON ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toJSON :: ConditionOutcome -> Value # toEncoding :: ConditionOutcome -> Encoding # toJSONList :: [ConditionOutcome] -> Value # toEncodingList :: [ConditionOutcome] -> Encoding #
ToJSONKey ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toJSONKey :: ToJSONKeyFunction ConditionOutcome # toJSONKeyList :: ToJSONKeyFunction [ConditionOutcome] #
FromJSON ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods parseJSON :: Value -> Parser ConditionOutcome # parseJSONList :: Value -> Parser [ConditionOutcome] #
FromJSONKey ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods fromJSONKey :: FromJSONKeyFunction ConditionOutcome # fromJSONKeyList :: FromJSONKeyFunction [ConditionOutcome] #
ToLog ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods build :: ConditionOutcome -> ByteStringBuilder #
ToHeader ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toHeader :: HeaderName -> ConditionOutcome -> [Header] #
ToQuery ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toQuery :: ConditionOutcome -> QueryString #
FromXML ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods parseXML :: [Node] -> Either String ConditionOutcome #
ToXML ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toXML :: ConditionOutcome -> XML #
ToByteString ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toBS :: ConditionOutcome -> ByteString #
FromText ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods fromText :: Text -> Either String ConditionOutcome #
ToText ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome Methods toText :: ConditionOutcome -> Text #
type Rep ConditionOutcome Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionOutcome type Rep ConditionOutcome = D1 ('MetaData "ConditionOutcome" "Amazonka.SageMaker.Types.ConditionOutcome" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ConditionOutcome'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromConditionOutcome") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContainerMode

newtype ContainerMode Source #

Constructors

ContainerMode'
Fields fromContainerMode :: Text

Bundled Patterns

pattern ContainerMode_MultiModel :: ContainerMode
pattern ContainerMode_SingleModel :: ContainerMode

Instances

Instances details

Eq ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods (==) :: ContainerMode -> ContainerMode -> Bool # (/=) :: ContainerMode -> ContainerMode -> Bool #
Ord ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods compare :: ContainerMode -> ContainerMode -> Ordering # (<) :: ContainerMode -> ContainerMode -> Bool # (<=) :: ContainerMode -> ContainerMode -> Bool # (>) :: ContainerMode -> ContainerMode -> Bool # (>=) :: ContainerMode -> ContainerMode -> Bool # max :: ContainerMode -> ContainerMode -> ContainerMode # min :: ContainerMode -> ContainerMode -> ContainerMode #
Read ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods readsPrec :: Int -> ReadS ContainerMode # readList :: ReadS [ContainerMode] # readPrec :: ReadPrec ContainerMode # readListPrec :: ReadPrec [ContainerMode] #
Show ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods showsPrec :: Int -> ContainerMode -> ShowS # show :: ContainerMode -> String # showList :: [ContainerMode] -> ShowS #
Generic ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Associated Types type Rep ContainerMode :: Type -> Type # Methods from :: ContainerMode -> Rep ContainerMode x # to :: Rep ContainerMode x -> ContainerMode #
NFData ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods rnf :: ContainerMode -> () #
Hashable ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods hashWithSalt :: Int -> ContainerMode -> Int # hash :: ContainerMode -> Int #
ToJSON ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toJSON :: ContainerMode -> Value # toEncoding :: ContainerMode -> Encoding # toJSONList :: [ContainerMode] -> Value # toEncodingList :: [ContainerMode] -> Encoding #
ToJSONKey ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toJSONKey :: ToJSONKeyFunction ContainerMode # toJSONKeyList :: ToJSONKeyFunction [ContainerMode] #
FromJSON ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods parseJSON :: Value -> Parser ContainerMode # parseJSONList :: Value -> Parser [ContainerMode] #
FromJSONKey ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods fromJSONKey :: FromJSONKeyFunction ContainerMode # fromJSONKeyList :: FromJSONKeyFunction [ContainerMode] #
ToLog ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods build :: ContainerMode -> ByteStringBuilder #
ToHeader ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toHeader :: HeaderName -> ContainerMode -> [Header] #
ToQuery ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toQuery :: ContainerMode -> QueryString #
FromXML ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods parseXML :: [Node] -> Either String ContainerMode #
ToXML ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toXML :: ContainerMode -> XML #
ToByteString ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toBS :: ContainerMode -> ByteString #
FromText ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods fromText :: Text -> Either String ContainerMode #
ToText ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode Methods toText :: ContainerMode -> Text #
type Rep ContainerMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerMode type Rep ContainerMode = D1 ('MetaData "ContainerMode" "Amazonka.SageMaker.Types.ContainerMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ContainerMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContainerMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContentClassifier

newtype ContentClassifier Source #

Constructors

ContentClassifier'
Fields fromContentClassifier :: Text

Bundled Patterns

pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier
pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier

Instances

Instances details

Eq ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods (==) :: ContentClassifier -> ContentClassifier -> Bool # (/=) :: ContentClassifier -> ContentClassifier -> Bool #
Ord ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods compare :: ContentClassifier -> ContentClassifier -> Ordering # (<) :: ContentClassifier -> ContentClassifier -> Bool # (<=) :: ContentClassifier -> ContentClassifier -> Bool # (>) :: ContentClassifier -> ContentClassifier -> Bool # (>=) :: ContentClassifier -> ContentClassifier -> Bool # max :: ContentClassifier -> ContentClassifier -> ContentClassifier # min :: ContentClassifier -> ContentClassifier -> ContentClassifier #
Read ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods readsPrec :: Int -> ReadS ContentClassifier # readList :: ReadS [ContentClassifier] # readPrec :: ReadPrec ContentClassifier # readListPrec :: ReadPrec [ContentClassifier] #
Show ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods showsPrec :: Int -> ContentClassifier -> ShowS # show :: ContentClassifier -> String # showList :: [ContentClassifier] -> ShowS #
Generic ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Associated Types type Rep ContentClassifier :: Type -> Type # Methods from :: ContentClassifier -> Rep ContentClassifier x # to :: Rep ContentClassifier x -> ContentClassifier #
NFData ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods rnf :: ContentClassifier -> () #
Hashable ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods hashWithSalt :: Int -> ContentClassifier -> Int # hash :: ContentClassifier -> Int #
ToJSON ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toJSON :: ContentClassifier -> Value # toEncoding :: ContentClassifier -> Encoding # toJSONList :: [ContentClassifier] -> Value # toEncodingList :: [ContentClassifier] -> Encoding #
ToJSONKey ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toJSONKey :: ToJSONKeyFunction ContentClassifier # toJSONKeyList :: ToJSONKeyFunction [ContentClassifier] #
FromJSON ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods parseJSON :: Value -> Parser ContentClassifier # parseJSONList :: Value -> Parser [ContentClassifier] #
FromJSONKey ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods fromJSONKey :: FromJSONKeyFunction ContentClassifier # fromJSONKeyList :: FromJSONKeyFunction [ContentClassifier] #
ToLog ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods build :: ContentClassifier -> ByteStringBuilder #
ToHeader ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toHeader :: HeaderName -> ContentClassifier -> [Header] #
ToQuery ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toQuery :: ContentClassifier -> QueryString #
FromXML ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods parseXML :: [Node] -> Either String ContentClassifier #
ToXML ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toXML :: ContentClassifier -> XML #
ToByteString ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toBS :: ContentClassifier -> ByteString #
FromText ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods fromText :: Text -> Either String ContentClassifier #
ToText ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier Methods toText :: ContentClassifier -> Text #
type Rep ContentClassifier Source #
Instance details Defined in Amazonka.SageMaker.Types.ContentClassifier type Rep ContentClassifier = D1 ('MetaData "ContentClassifier" "Amazonka.SageMaker.Types.ContentClassifier" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ContentClassifier'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentClassifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DataDistributionType

newtype DataDistributionType Source #

Constructors

DataDistributionType'
Fields fromDataDistributionType :: Text

Bundled Patterns

pattern DataDistributionType_FullyReplicated :: DataDistributionType
pattern DataDistributionType_ShardedByS3Key :: DataDistributionType

Instances

Instances details

Eq DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods (==) :: DataDistributionType -> DataDistributionType -> Bool # (/=) :: DataDistributionType -> DataDistributionType -> Bool #
Ord DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods compare :: DataDistributionType -> DataDistributionType -> Ordering # (<) :: DataDistributionType -> DataDistributionType -> Bool # (<=) :: DataDistributionType -> DataDistributionType -> Bool # (>) :: DataDistributionType -> DataDistributionType -> Bool # (>=) :: DataDistributionType -> DataDistributionType -> Bool # max :: DataDistributionType -> DataDistributionType -> DataDistributionType # min :: DataDistributionType -> DataDistributionType -> DataDistributionType #
Read DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods readsPrec :: Int -> ReadS DataDistributionType # readList :: ReadS [DataDistributionType] # readPrec :: ReadPrec DataDistributionType # readListPrec :: ReadPrec [DataDistributionType] #
Show DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods showsPrec :: Int -> DataDistributionType -> ShowS # show :: DataDistributionType -> String # showList :: [DataDistributionType] -> ShowS #
Generic DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Associated Types type Rep DataDistributionType :: Type -> Type # Methods from :: DataDistributionType -> Rep DataDistributionType x # to :: Rep DataDistributionType x -> DataDistributionType #
NFData DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods rnf :: DataDistributionType -> () #
Hashable DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods hashWithSalt :: Int -> DataDistributionType -> Int # hash :: DataDistributionType -> Int #
ToJSON DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toJSON :: DataDistributionType -> Value # toEncoding :: DataDistributionType -> Encoding # toJSONList :: [DataDistributionType] -> Value # toEncodingList :: [DataDistributionType] -> Encoding #
ToJSONKey DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toJSONKey :: ToJSONKeyFunction DataDistributionType # toJSONKeyList :: ToJSONKeyFunction [DataDistributionType] #
FromJSON DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods parseJSON :: Value -> Parser DataDistributionType # parseJSONList :: Value -> Parser [DataDistributionType] #
FromJSONKey DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods fromJSONKey :: FromJSONKeyFunction DataDistributionType # fromJSONKeyList :: FromJSONKeyFunction [DataDistributionType] #
ToLog DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods build :: DataDistributionType -> ByteStringBuilder #
ToHeader DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toHeader :: HeaderName -> DataDistributionType -> [Header] #
ToQuery DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toQuery :: DataDistributionType -> QueryString #
FromXML DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods parseXML :: [Node] -> Either String DataDistributionType #
ToXML DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toXML :: DataDistributionType -> XML #
ToByteString DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toBS :: DataDistributionType -> ByteString #
FromText DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods fromText :: Text -> Either String DataDistributionType #
ToText DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType Methods toText :: DataDistributionType -> Text #
type Rep DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.DataDistributionType type Rep DataDistributionType = D1 ('MetaData "DataDistributionType" "Amazonka.SageMaker.Types.DataDistributionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "DataDistributionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetailedAlgorithmStatus

newtype DetailedAlgorithmStatus Source #

Constructors

DetailedAlgorithmStatus'
Fields fromDetailedAlgorithmStatus :: Text

Bundled Patterns

pattern DetailedAlgorithmStatus_Completed :: DetailedAlgorithmStatus
pattern DetailedAlgorithmStatus_Failed :: DetailedAlgorithmStatus
pattern DetailedAlgorithmStatus_InProgress :: DetailedAlgorithmStatus
pattern DetailedAlgorithmStatus_NotStarted :: DetailedAlgorithmStatus

Instances

Instances details

Eq DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods (==) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool # (/=) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #
Ord DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods compare :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Ordering # (<) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool # (<=) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool # (>) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool # (>=) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool # max :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> DetailedAlgorithmStatus # min :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> DetailedAlgorithmStatus #
Read DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods readsPrec :: Int -> ReadS DetailedAlgorithmStatus # readList :: ReadS [DetailedAlgorithmStatus] # readPrec :: ReadPrec DetailedAlgorithmStatus # readListPrec :: ReadPrec [DetailedAlgorithmStatus] #
Show DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods showsPrec :: Int -> DetailedAlgorithmStatus -> ShowS # show :: DetailedAlgorithmStatus -> String # showList :: [DetailedAlgorithmStatus] -> ShowS #
Generic DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Associated Types type Rep DetailedAlgorithmStatus :: Type -> Type # Methods from :: DetailedAlgorithmStatus -> Rep DetailedAlgorithmStatus x # to :: Rep DetailedAlgorithmStatus x -> DetailedAlgorithmStatus #
NFData DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods rnf :: DetailedAlgorithmStatus -> () #
Hashable DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods hashWithSalt :: Int -> DetailedAlgorithmStatus -> Int # hash :: DetailedAlgorithmStatus -> Int #
ToJSON DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toJSON :: DetailedAlgorithmStatus -> Value # toEncoding :: DetailedAlgorithmStatus -> Encoding # toJSONList :: [DetailedAlgorithmStatus] -> Value # toEncodingList :: [DetailedAlgorithmStatus] -> Encoding #
ToJSONKey DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toJSONKey :: ToJSONKeyFunction DetailedAlgorithmStatus # toJSONKeyList :: ToJSONKeyFunction [DetailedAlgorithmStatus] #
FromJSON DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods parseJSON :: Value -> Parser DetailedAlgorithmStatus # parseJSONList :: Value -> Parser [DetailedAlgorithmStatus] #
FromJSONKey DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods fromJSONKey :: FromJSONKeyFunction DetailedAlgorithmStatus # fromJSONKeyList :: FromJSONKeyFunction [DetailedAlgorithmStatus] #
ToLog DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods build :: DetailedAlgorithmStatus -> ByteStringBuilder #
ToHeader DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toHeader :: HeaderName -> DetailedAlgorithmStatus -> [Header] #
ToQuery DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toQuery :: DetailedAlgorithmStatus -> QueryString #
FromXML DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods parseXML :: [Node] -> Either String DetailedAlgorithmStatus #
ToXML DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toXML :: DetailedAlgorithmStatus -> XML #
ToByteString DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toBS :: DetailedAlgorithmStatus -> ByteString #
FromText DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods fromText :: Text -> Either String DetailedAlgorithmStatus #
ToText DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus Methods toText :: DetailedAlgorithmStatus -> Text #
type Rep DetailedAlgorithmStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus type Rep DetailedAlgorithmStatus = D1 ('MetaData "DetailedAlgorithmStatus" "Amazonka.SageMaker.Types.DetailedAlgorithmStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "DetailedAlgorithmStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetailedAlgorithmStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetailedModelPackageStatus

newtype DetailedModelPackageStatus Source #

Constructors

DetailedModelPackageStatus'
Fields fromDetailedModelPackageStatus :: Text

Bundled Patterns

pattern DetailedModelPackageStatus_Completed :: DetailedModelPackageStatus
pattern DetailedModelPackageStatus_Failed :: DetailedModelPackageStatus
pattern DetailedModelPackageStatus_InProgress :: DetailedModelPackageStatus
pattern DetailedModelPackageStatus_NotStarted :: DetailedModelPackageStatus

Instances

Instances details

Eq DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods (==) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool # (/=) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #
Ord DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods compare :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Ordering # (<) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool # (<=) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool # (>) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool # (>=) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool # max :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> DetailedModelPackageStatus # min :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> DetailedModelPackageStatus #
Read DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods readsPrec :: Int -> ReadS DetailedModelPackageStatus # readList :: ReadS [DetailedModelPackageStatus] # readPrec :: ReadPrec DetailedModelPackageStatus # readListPrec :: ReadPrec [DetailedModelPackageStatus] #
Show DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods showsPrec :: Int -> DetailedModelPackageStatus -> ShowS # show :: DetailedModelPackageStatus -> String # showList :: [DetailedModelPackageStatus] -> ShowS #
Generic DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Associated Types type Rep DetailedModelPackageStatus :: Type -> Type # Methods from :: DetailedModelPackageStatus -> Rep DetailedModelPackageStatus x # to :: Rep DetailedModelPackageStatus x -> DetailedModelPackageStatus #
NFData DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods rnf :: DetailedModelPackageStatus -> () #
Hashable DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods hashWithSalt :: Int -> DetailedModelPackageStatus -> Int # hash :: DetailedModelPackageStatus -> Int #
ToJSON DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toJSON :: DetailedModelPackageStatus -> Value # toEncoding :: DetailedModelPackageStatus -> Encoding # toJSONList :: [DetailedModelPackageStatus] -> Value # toEncodingList :: [DetailedModelPackageStatus] -> Encoding #
ToJSONKey DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toJSONKey :: ToJSONKeyFunction DetailedModelPackageStatus # toJSONKeyList :: ToJSONKeyFunction [DetailedModelPackageStatus] #
FromJSON DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods parseJSON :: Value -> Parser DetailedModelPackageStatus # parseJSONList :: Value -> Parser [DetailedModelPackageStatus] #
FromJSONKey DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods fromJSONKey :: FromJSONKeyFunction DetailedModelPackageStatus # fromJSONKeyList :: FromJSONKeyFunction [DetailedModelPackageStatus] #
ToLog DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods build :: DetailedModelPackageStatus -> ByteStringBuilder #
ToHeader DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toHeader :: HeaderName -> DetailedModelPackageStatus -> [Header] #
ToQuery DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toQuery :: DetailedModelPackageStatus -> QueryString #
FromXML DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods parseXML :: [Node] -> Either String DetailedModelPackageStatus #
ToXML DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toXML :: DetailedModelPackageStatus -> XML #
ToByteString DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toBS :: DetailedModelPackageStatus -> ByteString #
FromText DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods fromText :: Text -> Either String DetailedModelPackageStatus #
ToText DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus Methods toText :: DetailedModelPackageStatus -> Text #
type Rep DetailedModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus type Rep DetailedModelPackageStatus = D1 ('MetaData "DetailedModelPackageStatus" "Amazonka.SageMaker.Types.DetailedModelPackageStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "DetailedModelPackageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetailedModelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DirectInternetAccess

newtype DirectInternetAccess Source #

Constructors

DirectInternetAccess'
Fields fromDirectInternetAccess :: Text

Bundled Patterns

pattern DirectInternetAccess_Disabled :: DirectInternetAccess
pattern DirectInternetAccess_Enabled :: DirectInternetAccess

Instances

Instances details

Eq DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods (==) :: DirectInternetAccess -> DirectInternetAccess -> Bool # (/=) :: DirectInternetAccess -> DirectInternetAccess -> Bool #
Ord DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods compare :: DirectInternetAccess -> DirectInternetAccess -> Ordering # (<) :: DirectInternetAccess -> DirectInternetAccess -> Bool # (<=) :: DirectInternetAccess -> DirectInternetAccess -> Bool # (>) :: DirectInternetAccess -> DirectInternetAccess -> Bool # (>=) :: DirectInternetAccess -> DirectInternetAccess -> Bool # max :: DirectInternetAccess -> DirectInternetAccess -> DirectInternetAccess # min :: DirectInternetAccess -> DirectInternetAccess -> DirectInternetAccess #
Read DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods readsPrec :: Int -> ReadS DirectInternetAccess # readList :: ReadS [DirectInternetAccess] # readPrec :: ReadPrec DirectInternetAccess # readListPrec :: ReadPrec [DirectInternetAccess] #
Show DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods showsPrec :: Int -> DirectInternetAccess -> ShowS # show :: DirectInternetAccess -> String # showList :: [DirectInternetAccess] -> ShowS #
Generic DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Associated Types type Rep DirectInternetAccess :: Type -> Type # Methods from :: DirectInternetAccess -> Rep DirectInternetAccess x # to :: Rep DirectInternetAccess x -> DirectInternetAccess #
NFData DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods rnf :: DirectInternetAccess -> () #
Hashable DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods hashWithSalt :: Int -> DirectInternetAccess -> Int # hash :: DirectInternetAccess -> Int #
ToJSON DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toJSON :: DirectInternetAccess -> Value # toEncoding :: DirectInternetAccess -> Encoding # toJSONList :: [DirectInternetAccess] -> Value # toEncodingList :: [DirectInternetAccess] -> Encoding #
ToJSONKey DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toJSONKey :: ToJSONKeyFunction DirectInternetAccess # toJSONKeyList :: ToJSONKeyFunction [DirectInternetAccess] #
FromJSON DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods parseJSON :: Value -> Parser DirectInternetAccess # parseJSONList :: Value -> Parser [DirectInternetAccess] #
FromJSONKey DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods fromJSONKey :: FromJSONKeyFunction DirectInternetAccess # fromJSONKeyList :: FromJSONKeyFunction [DirectInternetAccess] #
ToLog DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods build :: DirectInternetAccess -> ByteStringBuilder #
ToHeader DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toHeader :: HeaderName -> DirectInternetAccess -> [Header] #
ToQuery DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toQuery :: DirectInternetAccess -> QueryString #
FromXML DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods parseXML :: [Node] -> Either String DirectInternetAccess #
ToXML DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toXML :: DirectInternetAccess -> XML #
ToByteString DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toBS :: DirectInternetAccess -> ByteString #
FromText DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods fromText :: Text -> Either String DirectInternetAccess #
ToText DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess Methods toText :: DirectInternetAccess -> Text #
type Rep DirectInternetAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.DirectInternetAccess type Rep DirectInternetAccess = D1 ('MetaData "DirectInternetAccess" "Amazonka.SageMaker.Types.DirectInternetAccess" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "DirectInternetAccess'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDirectInternetAccess") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DomainStatus

newtype DomainStatus Source #

Constructors

DomainStatus'
Fields fromDomainStatus :: Text

Bundled Patterns

pattern DomainStatus_Delete_Failed :: DomainStatus
pattern DomainStatus_Deleting :: DomainStatus
pattern DomainStatus_Failed :: DomainStatus
pattern DomainStatus_InService :: DomainStatus
pattern DomainStatus_Pending :: DomainStatus
pattern DomainStatus_Update_Failed :: DomainStatus
pattern DomainStatus_Updating :: DomainStatus

Instances

Instances details

Eq DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods (==) :: DomainStatus -> DomainStatus -> Bool # (/=) :: DomainStatus -> DomainStatus -> Bool #
Ord DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods compare :: DomainStatus -> DomainStatus -> Ordering # (<) :: DomainStatus -> DomainStatus -> Bool # (<=) :: DomainStatus -> DomainStatus -> Bool # (>) :: DomainStatus -> DomainStatus -> Bool # (>=) :: DomainStatus -> DomainStatus -> Bool # max :: DomainStatus -> DomainStatus -> DomainStatus # min :: DomainStatus -> DomainStatus -> DomainStatus #
Read DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods readsPrec :: Int -> ReadS DomainStatus # readList :: ReadS [DomainStatus] # readPrec :: ReadPrec DomainStatus # readListPrec :: ReadPrec [DomainStatus] #
Show DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods showsPrec :: Int -> DomainStatus -> ShowS # show :: DomainStatus -> String # showList :: [DomainStatus] -> ShowS #
Generic DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Associated Types type Rep DomainStatus :: Type -> Type # Methods from :: DomainStatus -> Rep DomainStatus x # to :: Rep DomainStatus x -> DomainStatus #
NFData DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods rnf :: DomainStatus -> () #
Hashable DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods hashWithSalt :: Int -> DomainStatus -> Int # hash :: DomainStatus -> Int #
ToJSON DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toJSON :: DomainStatus -> Value # toEncoding :: DomainStatus -> Encoding # toJSONList :: [DomainStatus] -> Value # toEncodingList :: [DomainStatus] -> Encoding #
ToJSONKey DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toJSONKey :: ToJSONKeyFunction DomainStatus # toJSONKeyList :: ToJSONKeyFunction [DomainStatus] #
FromJSON DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods parseJSON :: Value -> Parser DomainStatus # parseJSONList :: Value -> Parser [DomainStatus] #
FromJSONKey DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods fromJSONKey :: FromJSONKeyFunction DomainStatus # fromJSONKeyList :: FromJSONKeyFunction [DomainStatus] #
ToLog DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods build :: DomainStatus -> ByteStringBuilder #
ToHeader DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toHeader :: HeaderName -> DomainStatus -> [Header] #
ToQuery DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toQuery :: DomainStatus -> QueryString #
FromXML DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods parseXML :: [Node] -> Either String DomainStatus #
ToXML DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toXML :: DomainStatus -> XML #
ToByteString DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toBS :: DomainStatus -> ByteString #
FromText DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods fromText :: Text -> Either String DomainStatus #
ToText DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus Methods toText :: DomainStatus -> Text #
type Rep DomainStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainStatus type Rep DomainStatus = D1 ('MetaData "DomainStatus" "Amazonka.SageMaker.Types.DomainStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "DomainStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDomainStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EdgePackagingJobStatus

newtype EdgePackagingJobStatus Source #

Constructors

EdgePackagingJobStatus'
Fields fromEdgePackagingJobStatus :: Text

Bundled Patterns

pattern EdgePackagingJobStatus_COMPLETED :: EdgePackagingJobStatus
pattern EdgePackagingJobStatus_FAILED :: EdgePackagingJobStatus
pattern EdgePackagingJobStatus_INPROGRESS :: EdgePackagingJobStatus
pattern EdgePackagingJobStatus_STARTING :: EdgePackagingJobStatus
pattern EdgePackagingJobStatus_STOPPED :: EdgePackagingJobStatus
pattern EdgePackagingJobStatus_STOPPING :: EdgePackagingJobStatus

Instances

Instances details

Eq EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods (==) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool # (/=) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #
Ord EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods compare :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Ordering # (<) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool # (<=) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool # (>) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool # (>=) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool # max :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> EdgePackagingJobStatus # min :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> EdgePackagingJobStatus #
Read EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods readsPrec :: Int -> ReadS EdgePackagingJobStatus # readList :: ReadS [EdgePackagingJobStatus] # readPrec :: ReadPrec EdgePackagingJobStatus # readListPrec :: ReadPrec [EdgePackagingJobStatus] #
Show EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods showsPrec :: Int -> EdgePackagingJobStatus -> ShowS # show :: EdgePackagingJobStatus -> String # showList :: [EdgePackagingJobStatus] -> ShowS #
Generic EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Associated Types type Rep EdgePackagingJobStatus :: Type -> Type # Methods from :: EdgePackagingJobStatus -> Rep EdgePackagingJobStatus x # to :: Rep EdgePackagingJobStatus x -> EdgePackagingJobStatus #
NFData EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods rnf :: EdgePackagingJobStatus -> () #
Hashable EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods hashWithSalt :: Int -> EdgePackagingJobStatus -> Int # hash :: EdgePackagingJobStatus -> Int #
ToJSON EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toJSON :: EdgePackagingJobStatus -> Value # toEncoding :: EdgePackagingJobStatus -> Encoding # toJSONList :: [EdgePackagingJobStatus] -> Value # toEncodingList :: [EdgePackagingJobStatus] -> Encoding #
ToJSONKey EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toJSONKey :: ToJSONKeyFunction EdgePackagingJobStatus # toJSONKeyList :: ToJSONKeyFunction [EdgePackagingJobStatus] #
FromJSON EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods parseJSON :: Value -> Parser EdgePackagingJobStatus # parseJSONList :: Value -> Parser [EdgePackagingJobStatus] #
FromJSONKey EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods fromJSONKey :: FromJSONKeyFunction EdgePackagingJobStatus # fromJSONKeyList :: FromJSONKeyFunction [EdgePackagingJobStatus] #
ToLog EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods build :: EdgePackagingJobStatus -> ByteStringBuilder #
ToHeader EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toHeader :: HeaderName -> EdgePackagingJobStatus -> [Header] #
ToQuery EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toQuery :: EdgePackagingJobStatus -> QueryString #
FromXML EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods parseXML :: [Node] -> Either String EdgePackagingJobStatus #
ToXML EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toXML :: EdgePackagingJobStatus -> XML #
ToByteString EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toBS :: EdgePackagingJobStatus -> ByteString #
FromText EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods fromText :: Text -> Either String EdgePackagingJobStatus #
ToText EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus Methods toText :: EdgePackagingJobStatus -> Text #
type Rep EdgePackagingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus type Rep EdgePackagingJobStatus = D1 ('MetaData "EdgePackagingJobStatus" "Amazonka.SageMaker.Types.EdgePackagingJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "EdgePackagingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEdgePackagingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EdgePresetDeploymentStatus

newtype EdgePresetDeploymentStatus Source #

Constructors

EdgePresetDeploymentStatus'
Fields fromEdgePresetDeploymentStatus :: Text

Bundled Patterns

pattern EdgePresetDeploymentStatus_COMPLETED :: EdgePresetDeploymentStatus
pattern EdgePresetDeploymentStatus_FAILED :: EdgePresetDeploymentStatus

Instances

Instances details

Eq EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods (==) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool # (/=) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #
Ord EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods compare :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Ordering # (<) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool # (<=) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool # (>) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool # (>=) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool # max :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus # min :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus #
Read EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods readsPrec :: Int -> ReadS EdgePresetDeploymentStatus # readList :: ReadS [EdgePresetDeploymentStatus] # readPrec :: ReadPrec EdgePresetDeploymentStatus # readListPrec :: ReadPrec [EdgePresetDeploymentStatus] #
Show EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods showsPrec :: Int -> EdgePresetDeploymentStatus -> ShowS # show :: EdgePresetDeploymentStatus -> String # showList :: [EdgePresetDeploymentStatus] -> ShowS #
Generic EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Associated Types type Rep EdgePresetDeploymentStatus :: Type -> Type # Methods from :: EdgePresetDeploymentStatus -> Rep EdgePresetDeploymentStatus x # to :: Rep EdgePresetDeploymentStatus x -> EdgePresetDeploymentStatus #
NFData EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods rnf :: EdgePresetDeploymentStatus -> () #
Hashable EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods hashWithSalt :: Int -> EdgePresetDeploymentStatus -> Int # hash :: EdgePresetDeploymentStatus -> Int #
ToJSON EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toJSON :: EdgePresetDeploymentStatus -> Value # toEncoding :: EdgePresetDeploymentStatus -> Encoding # toJSONList :: [EdgePresetDeploymentStatus] -> Value # toEncodingList :: [EdgePresetDeploymentStatus] -> Encoding #
ToJSONKey EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toJSONKey :: ToJSONKeyFunction EdgePresetDeploymentStatus # toJSONKeyList :: ToJSONKeyFunction [EdgePresetDeploymentStatus] #
FromJSON EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods parseJSON :: Value -> Parser EdgePresetDeploymentStatus # parseJSONList :: Value -> Parser [EdgePresetDeploymentStatus] #
FromJSONKey EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods fromJSONKey :: FromJSONKeyFunction EdgePresetDeploymentStatus # fromJSONKeyList :: FromJSONKeyFunction [EdgePresetDeploymentStatus] #
ToLog EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods build :: EdgePresetDeploymentStatus -> ByteStringBuilder #
ToHeader EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toHeader :: HeaderName -> EdgePresetDeploymentStatus -> [Header] #
ToQuery EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toQuery :: EdgePresetDeploymentStatus -> QueryString #
FromXML EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods parseXML :: [Node] -> Either String EdgePresetDeploymentStatus #
ToXML EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toXML :: EdgePresetDeploymentStatus -> XML #
ToByteString EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toBS :: EdgePresetDeploymentStatus -> ByteString #
FromText EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods fromText :: Text -> Either String EdgePresetDeploymentStatus #
ToText EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus Methods toText :: EdgePresetDeploymentStatus -> Text #
type Rep EdgePresetDeploymentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus type Rep EdgePresetDeploymentStatus = D1 ('MetaData "EdgePresetDeploymentStatus" "Amazonka.SageMaker.Types.EdgePresetDeploymentStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "EdgePresetDeploymentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEdgePresetDeploymentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EdgePresetDeploymentType

newtype EdgePresetDeploymentType Source #

Constructors

EdgePresetDeploymentType'
Fields fromEdgePresetDeploymentType :: Text

Bundled Patterns

pattern EdgePresetDeploymentType_GreengrassV2Component :: EdgePresetDeploymentType

Instances

Instances details

Eq EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods (==) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool # (/=) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #
Ord EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods compare :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Ordering # (<) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool # (<=) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool # (>) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool # (>=) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool # max :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> EdgePresetDeploymentType # min :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> EdgePresetDeploymentType #
Read EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods readsPrec :: Int -> ReadS EdgePresetDeploymentType # readList :: ReadS [EdgePresetDeploymentType] # readPrec :: ReadPrec EdgePresetDeploymentType # readListPrec :: ReadPrec [EdgePresetDeploymentType] #
Show EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods showsPrec :: Int -> EdgePresetDeploymentType -> ShowS # show :: EdgePresetDeploymentType -> String # showList :: [EdgePresetDeploymentType] -> ShowS #
Generic EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Associated Types type Rep EdgePresetDeploymentType :: Type -> Type # Methods from :: EdgePresetDeploymentType -> Rep EdgePresetDeploymentType x # to :: Rep EdgePresetDeploymentType x -> EdgePresetDeploymentType #
NFData EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods rnf :: EdgePresetDeploymentType -> () #
Hashable EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods hashWithSalt :: Int -> EdgePresetDeploymentType -> Int # hash :: EdgePresetDeploymentType -> Int #
ToJSON EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toJSON :: EdgePresetDeploymentType -> Value # toEncoding :: EdgePresetDeploymentType -> Encoding # toJSONList :: [EdgePresetDeploymentType] -> Value # toEncodingList :: [EdgePresetDeploymentType] -> Encoding #
ToJSONKey EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toJSONKey :: ToJSONKeyFunction EdgePresetDeploymentType # toJSONKeyList :: ToJSONKeyFunction [EdgePresetDeploymentType] #
FromJSON EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods parseJSON :: Value -> Parser EdgePresetDeploymentType # parseJSONList :: Value -> Parser [EdgePresetDeploymentType] #
FromJSONKey EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods fromJSONKey :: FromJSONKeyFunction EdgePresetDeploymentType # fromJSONKeyList :: FromJSONKeyFunction [EdgePresetDeploymentType] #
ToLog EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods build :: EdgePresetDeploymentType -> ByteStringBuilder #
ToHeader EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toHeader :: HeaderName -> EdgePresetDeploymentType -> [Header] #
ToQuery EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toQuery :: EdgePresetDeploymentType -> QueryString #
FromXML EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods parseXML :: [Node] -> Either String EdgePresetDeploymentType #
ToXML EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toXML :: EdgePresetDeploymentType -> XML #
ToByteString EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toBS :: EdgePresetDeploymentType -> ByteString #
FromText EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods fromText :: Text -> Either String EdgePresetDeploymentType #
ToText EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType Methods toText :: EdgePresetDeploymentType -> Text #
type Rep EdgePresetDeploymentType Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType type Rep EdgePresetDeploymentType = D1 ('MetaData "EdgePresetDeploymentType" "Amazonka.SageMaker.Types.EdgePresetDeploymentType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "EdgePresetDeploymentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEdgePresetDeploymentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EndpointConfigSortKey

newtype EndpointConfigSortKey Source #

Constructors

EndpointConfigSortKey'
Fields fromEndpointConfigSortKey :: Text

Bundled Patterns

pattern EndpointConfigSortKey_CreationTime :: EndpointConfigSortKey
pattern EndpointConfigSortKey_Name :: EndpointConfigSortKey

Instances

Instances details

Eq EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods (==) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool # (/=) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #
Ord EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods compare :: EndpointConfigSortKey -> EndpointConfigSortKey -> Ordering # (<) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool # (<=) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool # (>) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool # (>=) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool # max :: EndpointConfigSortKey -> EndpointConfigSortKey -> EndpointConfigSortKey # min :: EndpointConfigSortKey -> EndpointConfigSortKey -> EndpointConfigSortKey #
Read EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods readsPrec :: Int -> ReadS EndpointConfigSortKey # readList :: ReadS [EndpointConfigSortKey] # readPrec :: ReadPrec EndpointConfigSortKey # readListPrec :: ReadPrec [EndpointConfigSortKey] #
Show EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods showsPrec :: Int -> EndpointConfigSortKey -> ShowS # show :: EndpointConfigSortKey -> String # showList :: [EndpointConfigSortKey] -> ShowS #
Generic EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Associated Types type Rep EndpointConfigSortKey :: Type -> Type # Methods from :: EndpointConfigSortKey -> Rep EndpointConfigSortKey x # to :: Rep EndpointConfigSortKey x -> EndpointConfigSortKey #
NFData EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods rnf :: EndpointConfigSortKey -> () #
Hashable EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods hashWithSalt :: Int -> EndpointConfigSortKey -> Int # hash :: EndpointConfigSortKey -> Int #
ToJSON EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toJSON :: EndpointConfigSortKey -> Value # toEncoding :: EndpointConfigSortKey -> Encoding # toJSONList :: [EndpointConfigSortKey] -> Value # toEncodingList :: [EndpointConfigSortKey] -> Encoding #
ToJSONKey EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toJSONKey :: ToJSONKeyFunction EndpointConfigSortKey # toJSONKeyList :: ToJSONKeyFunction [EndpointConfigSortKey] #
FromJSON EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods parseJSON :: Value -> Parser EndpointConfigSortKey # parseJSONList :: Value -> Parser [EndpointConfigSortKey] #
FromJSONKey EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods fromJSONKey :: FromJSONKeyFunction EndpointConfigSortKey # fromJSONKeyList :: FromJSONKeyFunction [EndpointConfigSortKey] #
ToLog EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods build :: EndpointConfigSortKey -> ByteStringBuilder #
ToHeader EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toHeader :: HeaderName -> EndpointConfigSortKey -> [Header] #
ToQuery EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toQuery :: EndpointConfigSortKey -> QueryString #
FromXML EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods parseXML :: [Node] -> Either String EndpointConfigSortKey #
ToXML EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toXML :: EndpointConfigSortKey -> XML #
ToByteString EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toBS :: EndpointConfigSortKey -> ByteString #
FromText EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods fromText :: Text -> Either String EndpointConfigSortKey #
ToText EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey Methods toText :: EndpointConfigSortKey -> Text #
type Rep EndpointConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey type Rep EndpointConfigSortKey = D1 ('MetaData "EndpointConfigSortKey" "Amazonka.SageMaker.Types.EndpointConfigSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "EndpointConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEndpointConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EndpointSortKey

newtype EndpointSortKey Source #

Constructors

EndpointSortKey'
Fields fromEndpointSortKey :: Text

Bundled Patterns

pattern EndpointSortKey_CreationTime :: EndpointSortKey
pattern EndpointSortKey_Name :: EndpointSortKey
pattern EndpointSortKey_Status :: EndpointSortKey

Instances

Instances details

Eq EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods (==) :: EndpointSortKey -> EndpointSortKey -> Bool # (/=) :: EndpointSortKey -> EndpointSortKey -> Bool #
Ord EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods compare :: EndpointSortKey -> EndpointSortKey -> Ordering # (<) :: EndpointSortKey -> EndpointSortKey -> Bool # (<=) :: EndpointSortKey -> EndpointSortKey -> Bool # (>) :: EndpointSortKey -> EndpointSortKey -> Bool # (>=) :: EndpointSortKey -> EndpointSortKey -> Bool # max :: EndpointSortKey -> EndpointSortKey -> EndpointSortKey # min :: EndpointSortKey -> EndpointSortKey -> EndpointSortKey #
Read EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods readsPrec :: Int -> ReadS EndpointSortKey # readList :: ReadS [EndpointSortKey] # readPrec :: ReadPrec EndpointSortKey # readListPrec :: ReadPrec [EndpointSortKey] #
Show EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods showsPrec :: Int -> EndpointSortKey -> ShowS # show :: EndpointSortKey -> String # showList :: [EndpointSortKey] -> ShowS #
Generic EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Associated Types type Rep EndpointSortKey :: Type -> Type # Methods from :: EndpointSortKey -> Rep EndpointSortKey x # to :: Rep EndpointSortKey x -> EndpointSortKey #
NFData EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods rnf :: EndpointSortKey -> () #
Hashable EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods hashWithSalt :: Int -> EndpointSortKey -> Int # hash :: EndpointSortKey -> Int #
ToJSON EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toJSON :: EndpointSortKey -> Value # toEncoding :: EndpointSortKey -> Encoding # toJSONList :: [EndpointSortKey] -> Value # toEncodingList :: [EndpointSortKey] -> Encoding #
ToJSONKey EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toJSONKey :: ToJSONKeyFunction EndpointSortKey # toJSONKeyList :: ToJSONKeyFunction [EndpointSortKey] #
FromJSON EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods parseJSON :: Value -> Parser EndpointSortKey # parseJSONList :: Value -> Parser [EndpointSortKey] #
FromJSONKey EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods fromJSONKey :: FromJSONKeyFunction EndpointSortKey # fromJSONKeyList :: FromJSONKeyFunction [EndpointSortKey] #
ToLog EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods build :: EndpointSortKey -> ByteStringBuilder #
ToHeader EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toHeader :: HeaderName -> EndpointSortKey -> [Header] #
ToQuery EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toQuery :: EndpointSortKey -> QueryString #
FromXML EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods parseXML :: [Node] -> Either String EndpointSortKey #
ToXML EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toXML :: EndpointSortKey -> XML #
ToByteString EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toBS :: EndpointSortKey -> ByteString #
FromText EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods fromText :: Text -> Either String EndpointSortKey #
ToText EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey Methods toText :: EndpointSortKey -> Text #
type Rep EndpointSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSortKey type Rep EndpointSortKey = D1 ('MetaData "EndpointSortKey" "Amazonka.SageMaker.Types.EndpointSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "EndpointSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEndpointSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EndpointStatus

newtype EndpointStatus Source #

Constructors

EndpointStatus'
Fields fromEndpointStatus :: Text

Bundled Patterns

pattern EndpointStatus_Creating :: EndpointStatus
pattern EndpointStatus_Deleting :: EndpointStatus
pattern EndpointStatus_Failed :: EndpointStatus
pattern EndpointStatus_InService :: EndpointStatus
pattern EndpointStatus_OutOfService :: EndpointStatus
pattern EndpointStatus_RollingBack :: EndpointStatus
pattern EndpointStatus_SystemUpdating :: EndpointStatus
pattern EndpointStatus_Updating :: EndpointStatus

Instances

Instances details

Eq EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods (==) :: EndpointStatus -> EndpointStatus -> Bool # (/=) :: EndpointStatus -> EndpointStatus -> Bool #
Ord EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods compare :: EndpointStatus -> EndpointStatus -> Ordering # (<) :: EndpointStatus -> EndpointStatus -> Bool # (<=) :: EndpointStatus -> EndpointStatus -> Bool # (>) :: EndpointStatus -> EndpointStatus -> Bool # (>=) :: EndpointStatus -> EndpointStatus -> Bool # max :: EndpointStatus -> EndpointStatus -> EndpointStatus # min :: EndpointStatus -> EndpointStatus -> EndpointStatus #
Read EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods readsPrec :: Int -> ReadS EndpointStatus # readList :: ReadS [EndpointStatus] # readPrec :: ReadPrec EndpointStatus # readListPrec :: ReadPrec [EndpointStatus] #
Show EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods showsPrec :: Int -> EndpointStatus -> ShowS # show :: EndpointStatus -> String # showList :: [EndpointStatus] -> ShowS #
Generic EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Associated Types type Rep EndpointStatus :: Type -> Type # Methods from :: EndpointStatus -> Rep EndpointStatus x # to :: Rep EndpointStatus x -> EndpointStatus #
NFData EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods rnf :: EndpointStatus -> () #
Hashable EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods hashWithSalt :: Int -> EndpointStatus -> Int # hash :: EndpointStatus -> Int #
ToJSON EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toJSON :: EndpointStatus -> Value # toEncoding :: EndpointStatus -> Encoding # toJSONList :: [EndpointStatus] -> Value # toEncodingList :: [EndpointStatus] -> Encoding #
ToJSONKey EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toJSONKey :: ToJSONKeyFunction EndpointStatus # toJSONKeyList :: ToJSONKeyFunction [EndpointStatus] #
FromJSON EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods parseJSON :: Value -> Parser EndpointStatus # parseJSONList :: Value -> Parser [EndpointStatus] #
FromJSONKey EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods fromJSONKey :: FromJSONKeyFunction EndpointStatus # fromJSONKeyList :: FromJSONKeyFunction [EndpointStatus] #
ToLog EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods build :: EndpointStatus -> ByteStringBuilder #
ToHeader EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toHeader :: HeaderName -> EndpointStatus -> [Header] #
ToQuery EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toQuery :: EndpointStatus -> QueryString #
FromXML EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods parseXML :: [Node] -> Either String EndpointStatus #
ToXML EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toXML :: EndpointStatus -> XML #
ToByteString EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toBS :: EndpointStatus -> ByteString #
FromText EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods fromText :: Text -> Either String EndpointStatus #
ToText EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus Methods toText :: EndpointStatus -> Text #
type Rep EndpointStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointStatus type Rep EndpointStatus = D1 ('MetaData "EndpointStatus" "Amazonka.SageMaker.Types.EndpointStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "EndpointStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEndpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExecutionStatus

newtype ExecutionStatus Source #

Constructors

ExecutionStatus'
Fields fromExecutionStatus :: Text

Bundled Patterns

pattern ExecutionStatus_Completed :: ExecutionStatus
pattern ExecutionStatus_CompletedWithViolations :: ExecutionStatus
pattern ExecutionStatus_Failed :: ExecutionStatus
pattern ExecutionStatus_InProgress :: ExecutionStatus
pattern ExecutionStatus_Pending :: ExecutionStatus
pattern ExecutionStatus_Stopped :: ExecutionStatus
pattern ExecutionStatus_Stopping :: ExecutionStatus

Instances

Instances details

Eq ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods (==) :: ExecutionStatus -> ExecutionStatus -> Bool # (/=) :: ExecutionStatus -> ExecutionStatus -> Bool #
Ord ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods compare :: ExecutionStatus -> ExecutionStatus -> Ordering # (<) :: ExecutionStatus -> ExecutionStatus -> Bool # (<=) :: ExecutionStatus -> ExecutionStatus -> Bool # (>) :: ExecutionStatus -> ExecutionStatus -> Bool # (>=) :: ExecutionStatus -> ExecutionStatus -> Bool # max :: ExecutionStatus -> ExecutionStatus -> ExecutionStatus # min :: ExecutionStatus -> ExecutionStatus -> ExecutionStatus #
Read ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods readsPrec :: Int -> ReadS ExecutionStatus # readList :: ReadS [ExecutionStatus] # readPrec :: ReadPrec ExecutionStatus # readListPrec :: ReadPrec [ExecutionStatus] #
Show ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods showsPrec :: Int -> ExecutionStatus -> ShowS # show :: ExecutionStatus -> String # showList :: [ExecutionStatus] -> ShowS #
Generic ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Associated Types type Rep ExecutionStatus :: Type -> Type # Methods from :: ExecutionStatus -> Rep ExecutionStatus x # to :: Rep ExecutionStatus x -> ExecutionStatus #
NFData ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods rnf :: ExecutionStatus -> () #
Hashable ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods hashWithSalt :: Int -> ExecutionStatus -> Int # hash :: ExecutionStatus -> Int #
ToJSON ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toJSON :: ExecutionStatus -> Value # toEncoding :: ExecutionStatus -> Encoding # toJSONList :: [ExecutionStatus] -> Value # toEncodingList :: [ExecutionStatus] -> Encoding #
ToJSONKey ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toJSONKey :: ToJSONKeyFunction ExecutionStatus # toJSONKeyList :: ToJSONKeyFunction [ExecutionStatus] #
FromJSON ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods parseJSON :: Value -> Parser ExecutionStatus # parseJSONList :: Value -> Parser [ExecutionStatus] #
FromJSONKey ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods fromJSONKey :: FromJSONKeyFunction ExecutionStatus # fromJSONKeyList :: FromJSONKeyFunction [ExecutionStatus] #
ToLog ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods build :: ExecutionStatus -> ByteStringBuilder #
ToHeader ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toHeader :: HeaderName -> ExecutionStatus -> [Header] #
ToQuery ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toQuery :: ExecutionStatus -> QueryString #
FromXML ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods parseXML :: [Node] -> Either String ExecutionStatus #
ToXML ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toXML :: ExecutionStatus -> XML #
ToByteString ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toBS :: ExecutionStatus -> ByteString #
FromText ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods fromText :: Text -> Either String ExecutionStatus #
ToText ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus Methods toText :: ExecutionStatus -> Text #
type Rep ExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ExecutionStatus type Rep ExecutionStatus = D1 ('MetaData "ExecutionStatus" "Amazonka.SageMaker.Types.ExecutionStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ExecutionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureGroupSortBy

newtype FeatureGroupSortBy Source #

Constructors

FeatureGroupSortBy'
Fields fromFeatureGroupSortBy :: Text

Bundled Patterns

pattern FeatureGroupSortBy_CreationTime :: FeatureGroupSortBy
pattern FeatureGroupSortBy_FeatureGroupStatus :: FeatureGroupSortBy
pattern FeatureGroupSortBy_Name :: FeatureGroupSortBy
pattern FeatureGroupSortBy_OfflineStoreStatus :: FeatureGroupSortBy

Instances

Instances details

Eq FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods (==) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool # (/=) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #
Ord FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods compare :: FeatureGroupSortBy -> FeatureGroupSortBy -> Ordering # (<) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool # (<=) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool # (>) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool # (>=) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool # max :: FeatureGroupSortBy -> FeatureGroupSortBy -> FeatureGroupSortBy # min :: FeatureGroupSortBy -> FeatureGroupSortBy -> FeatureGroupSortBy #
Read FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods readsPrec :: Int -> ReadS FeatureGroupSortBy # readList :: ReadS [FeatureGroupSortBy] # readPrec :: ReadPrec FeatureGroupSortBy # readListPrec :: ReadPrec [FeatureGroupSortBy] #
Show FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods showsPrec :: Int -> FeatureGroupSortBy -> ShowS # show :: FeatureGroupSortBy -> String # showList :: [FeatureGroupSortBy] -> ShowS #
Generic FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Associated Types type Rep FeatureGroupSortBy :: Type -> Type # Methods from :: FeatureGroupSortBy -> Rep FeatureGroupSortBy x # to :: Rep FeatureGroupSortBy x -> FeatureGroupSortBy #
NFData FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods rnf :: FeatureGroupSortBy -> () #
Hashable FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods hashWithSalt :: Int -> FeatureGroupSortBy -> Int # hash :: FeatureGroupSortBy -> Int #
ToJSON FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toJSON :: FeatureGroupSortBy -> Value # toEncoding :: FeatureGroupSortBy -> Encoding # toJSONList :: [FeatureGroupSortBy] -> Value # toEncodingList :: [FeatureGroupSortBy] -> Encoding #
ToJSONKey FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toJSONKey :: ToJSONKeyFunction FeatureGroupSortBy # toJSONKeyList :: ToJSONKeyFunction [FeatureGroupSortBy] #
FromJSON FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods parseJSON :: Value -> Parser FeatureGroupSortBy # parseJSONList :: Value -> Parser [FeatureGroupSortBy] #
FromJSONKey FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods fromJSONKey :: FromJSONKeyFunction FeatureGroupSortBy # fromJSONKeyList :: FromJSONKeyFunction [FeatureGroupSortBy] #
ToLog FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods build :: FeatureGroupSortBy -> ByteStringBuilder #
ToHeader FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toHeader :: HeaderName -> FeatureGroupSortBy -> [Header] #
ToQuery FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toQuery :: FeatureGroupSortBy -> QueryString #
FromXML FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods parseXML :: [Node] -> Either String FeatureGroupSortBy #
ToXML FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toXML :: FeatureGroupSortBy -> XML #
ToByteString FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toBS :: FeatureGroupSortBy -> ByteString #
FromText FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods fromText :: Text -> Either String FeatureGroupSortBy #
ToText FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy Methods toText :: FeatureGroupSortBy -> Text #
type Rep FeatureGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy type Rep FeatureGroupSortBy = D1 ('MetaData "FeatureGroupSortBy" "Amazonka.SageMaker.Types.FeatureGroupSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FeatureGroupSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureGroupSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureGroupSortOrder

newtype FeatureGroupSortOrder Source #

Constructors

FeatureGroupSortOrder'
Fields fromFeatureGroupSortOrder :: Text

Bundled Patterns

pattern FeatureGroupSortOrder_Ascending :: FeatureGroupSortOrder
pattern FeatureGroupSortOrder_Descending :: FeatureGroupSortOrder

Instances

Instances details

Eq FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods (==) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool # (/=) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #
Ord FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods compare :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Ordering # (<) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool # (<=) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool # (>) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool # (>=) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool # max :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> FeatureGroupSortOrder # min :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> FeatureGroupSortOrder #
Read FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods readsPrec :: Int -> ReadS FeatureGroupSortOrder # readList :: ReadS [FeatureGroupSortOrder] # readPrec :: ReadPrec FeatureGroupSortOrder # readListPrec :: ReadPrec [FeatureGroupSortOrder] #
Show FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods showsPrec :: Int -> FeatureGroupSortOrder -> ShowS # show :: FeatureGroupSortOrder -> String # showList :: [FeatureGroupSortOrder] -> ShowS #
Generic FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Associated Types type Rep FeatureGroupSortOrder :: Type -> Type # Methods from :: FeatureGroupSortOrder -> Rep FeatureGroupSortOrder x # to :: Rep FeatureGroupSortOrder x -> FeatureGroupSortOrder #
NFData FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods rnf :: FeatureGroupSortOrder -> () #
Hashable FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods hashWithSalt :: Int -> FeatureGroupSortOrder -> Int # hash :: FeatureGroupSortOrder -> Int #
ToJSON FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toJSON :: FeatureGroupSortOrder -> Value # toEncoding :: FeatureGroupSortOrder -> Encoding # toJSONList :: [FeatureGroupSortOrder] -> Value # toEncodingList :: [FeatureGroupSortOrder] -> Encoding #
ToJSONKey FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toJSONKey :: ToJSONKeyFunction FeatureGroupSortOrder # toJSONKeyList :: ToJSONKeyFunction [FeatureGroupSortOrder] #
FromJSON FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods parseJSON :: Value -> Parser FeatureGroupSortOrder # parseJSONList :: Value -> Parser [FeatureGroupSortOrder] #
FromJSONKey FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods fromJSONKey :: FromJSONKeyFunction FeatureGroupSortOrder # fromJSONKeyList :: FromJSONKeyFunction [FeatureGroupSortOrder] #
ToLog FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods build :: FeatureGroupSortOrder -> ByteStringBuilder #
ToHeader FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toHeader :: HeaderName -> FeatureGroupSortOrder -> [Header] #
ToQuery FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toQuery :: FeatureGroupSortOrder -> QueryString #
FromXML FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods parseXML :: [Node] -> Either String FeatureGroupSortOrder #
ToXML FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toXML :: FeatureGroupSortOrder -> XML #
ToByteString FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toBS :: FeatureGroupSortOrder -> ByteString #
FromText FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods fromText :: Text -> Either String FeatureGroupSortOrder #
ToText FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder Methods toText :: FeatureGroupSortOrder -> Text #
type Rep FeatureGroupSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder type Rep FeatureGroupSortOrder = D1 ('MetaData "FeatureGroupSortOrder" "Amazonka.SageMaker.Types.FeatureGroupSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FeatureGroupSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureGroupSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureGroupStatus

newtype FeatureGroupStatus Source #

Constructors

FeatureGroupStatus'
Fields fromFeatureGroupStatus :: Text

Bundled Patterns

pattern FeatureGroupStatus_CreateFailed :: FeatureGroupStatus
pattern FeatureGroupStatus_Created :: FeatureGroupStatus
pattern FeatureGroupStatus_Creating :: FeatureGroupStatus
pattern FeatureGroupStatus_DeleteFailed :: FeatureGroupStatus
pattern FeatureGroupStatus_Deleting :: FeatureGroupStatus

Instances

Instances details

Eq FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods (==) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool # (/=) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #
Ord FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods compare :: FeatureGroupStatus -> FeatureGroupStatus -> Ordering # (<) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool # (<=) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool # (>) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool # (>=) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool # max :: FeatureGroupStatus -> FeatureGroupStatus -> FeatureGroupStatus # min :: FeatureGroupStatus -> FeatureGroupStatus -> FeatureGroupStatus #
Read FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods readsPrec :: Int -> ReadS FeatureGroupStatus # readList :: ReadS [FeatureGroupStatus] # readPrec :: ReadPrec FeatureGroupStatus # readListPrec :: ReadPrec [FeatureGroupStatus] #
Show FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods showsPrec :: Int -> FeatureGroupStatus -> ShowS # show :: FeatureGroupStatus -> String # showList :: [FeatureGroupStatus] -> ShowS #
Generic FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Associated Types type Rep FeatureGroupStatus :: Type -> Type # Methods from :: FeatureGroupStatus -> Rep FeatureGroupStatus x # to :: Rep FeatureGroupStatus x -> FeatureGroupStatus #
NFData FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods rnf :: FeatureGroupStatus -> () #
Hashable FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods hashWithSalt :: Int -> FeatureGroupStatus -> Int # hash :: FeatureGroupStatus -> Int #
ToJSON FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toJSON :: FeatureGroupStatus -> Value # toEncoding :: FeatureGroupStatus -> Encoding # toJSONList :: [FeatureGroupStatus] -> Value # toEncodingList :: [FeatureGroupStatus] -> Encoding #
ToJSONKey FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toJSONKey :: ToJSONKeyFunction FeatureGroupStatus # toJSONKeyList :: ToJSONKeyFunction [FeatureGroupStatus] #
FromJSON FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods parseJSON :: Value -> Parser FeatureGroupStatus # parseJSONList :: Value -> Parser [FeatureGroupStatus] #
FromJSONKey FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods fromJSONKey :: FromJSONKeyFunction FeatureGroupStatus # fromJSONKeyList :: FromJSONKeyFunction [FeatureGroupStatus] #
ToLog FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods build :: FeatureGroupStatus -> ByteStringBuilder #
ToHeader FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toHeader :: HeaderName -> FeatureGroupStatus -> [Header] #
ToQuery FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toQuery :: FeatureGroupStatus -> QueryString #
FromXML FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods parseXML :: [Node] -> Either String FeatureGroupStatus #
ToXML FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toXML :: FeatureGroupStatus -> XML #
ToByteString FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toBS :: FeatureGroupStatus -> ByteString #
FromText FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods fromText :: Text -> Either String FeatureGroupStatus #
ToText FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus Methods toText :: FeatureGroupStatus -> Text #
type Rep FeatureGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupStatus type Rep FeatureGroupStatus = D1 ('MetaData "FeatureGroupStatus" "Amazonka.SageMaker.Types.FeatureGroupStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FeatureGroupStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureType

newtype FeatureType Source #

Constructors

FeatureType'
Fields fromFeatureType :: Text

Bundled Patterns

pattern FeatureType_Fractional :: FeatureType
pattern FeatureType_Integral :: FeatureType
pattern FeatureType_String :: FeatureType

Instances

Instances details

Eq FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods (==) :: FeatureType -> FeatureType -> Bool # (/=) :: FeatureType -> FeatureType -> Bool #
Ord FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods compare :: FeatureType -> FeatureType -> Ordering # (<) :: FeatureType -> FeatureType -> Bool # (<=) :: FeatureType -> FeatureType -> Bool # (>) :: FeatureType -> FeatureType -> Bool # (>=) :: FeatureType -> FeatureType -> Bool # max :: FeatureType -> FeatureType -> FeatureType # min :: FeatureType -> FeatureType -> FeatureType #
Read FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods readsPrec :: Int -> ReadS FeatureType # readList :: ReadS [FeatureType] # readPrec :: ReadPrec FeatureType # readListPrec :: ReadPrec [FeatureType] #
Show FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods showsPrec :: Int -> FeatureType -> ShowS # show :: FeatureType -> String # showList :: [FeatureType] -> ShowS #
Generic FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Associated Types type Rep FeatureType :: Type -> Type # Methods from :: FeatureType -> Rep FeatureType x # to :: Rep FeatureType x -> FeatureType #
NFData FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods rnf :: FeatureType -> () #
Hashable FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods hashWithSalt :: Int -> FeatureType -> Int # hash :: FeatureType -> Int #
ToJSON FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toJSON :: FeatureType -> Value # toEncoding :: FeatureType -> Encoding # toJSONList :: [FeatureType] -> Value # toEncodingList :: [FeatureType] -> Encoding #
ToJSONKey FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toJSONKey :: ToJSONKeyFunction FeatureType # toJSONKeyList :: ToJSONKeyFunction [FeatureType] #
FromJSON FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods parseJSON :: Value -> Parser FeatureType # parseJSONList :: Value -> Parser [FeatureType] #
FromJSONKey FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods fromJSONKey :: FromJSONKeyFunction FeatureType # fromJSONKeyList :: FromJSONKeyFunction [FeatureType] #
ToLog FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods build :: FeatureType -> ByteStringBuilder #
ToHeader FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toHeader :: HeaderName -> FeatureType -> [Header] #
ToQuery FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toQuery :: FeatureType -> QueryString #
FromXML FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods parseXML :: [Node] -> Either String FeatureType #
ToXML FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toXML :: FeatureType -> XML #
ToByteString FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toBS :: FeatureType -> ByteString #
FromText FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods fromText :: Text -> Either String FeatureType #
ToText FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType Methods toText :: FeatureType -> Text #
type Rep FeatureType Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureType type Rep FeatureType = D1 ('MetaData "FeatureType" "Amazonka.SageMaker.Types.FeatureType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FeatureType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FileSystemAccessMode

newtype FileSystemAccessMode Source #

Constructors

FileSystemAccessMode'
Fields fromFileSystemAccessMode :: Text

Bundled Patterns

pattern FileSystemAccessMode_Ro :: FileSystemAccessMode
pattern FileSystemAccessMode_Rw :: FileSystemAccessMode

Instances

Instances details

Eq FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods (==) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool # (/=) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #
Ord FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods compare :: FileSystemAccessMode -> FileSystemAccessMode -> Ordering # (<) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool # (<=) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool # (>) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool # (>=) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool # max :: FileSystemAccessMode -> FileSystemAccessMode -> FileSystemAccessMode # min :: FileSystemAccessMode -> FileSystemAccessMode -> FileSystemAccessMode #
Read FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods readsPrec :: Int -> ReadS FileSystemAccessMode # readList :: ReadS [FileSystemAccessMode] # readPrec :: ReadPrec FileSystemAccessMode # readListPrec :: ReadPrec [FileSystemAccessMode] #
Show FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods showsPrec :: Int -> FileSystemAccessMode -> ShowS # show :: FileSystemAccessMode -> String # showList :: [FileSystemAccessMode] -> ShowS #
Generic FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Associated Types type Rep FileSystemAccessMode :: Type -> Type # Methods from :: FileSystemAccessMode -> Rep FileSystemAccessMode x # to :: Rep FileSystemAccessMode x -> FileSystemAccessMode #
NFData FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods rnf :: FileSystemAccessMode -> () #
Hashable FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods hashWithSalt :: Int -> FileSystemAccessMode -> Int # hash :: FileSystemAccessMode -> Int #
ToJSON FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toJSON :: FileSystemAccessMode -> Value # toEncoding :: FileSystemAccessMode -> Encoding # toJSONList :: [FileSystemAccessMode] -> Value # toEncodingList :: [FileSystemAccessMode] -> Encoding #
ToJSONKey FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toJSONKey :: ToJSONKeyFunction FileSystemAccessMode # toJSONKeyList :: ToJSONKeyFunction [FileSystemAccessMode] #
FromJSON FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods parseJSON :: Value -> Parser FileSystemAccessMode # parseJSONList :: Value -> Parser [FileSystemAccessMode] #
FromJSONKey FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods fromJSONKey :: FromJSONKeyFunction FileSystemAccessMode # fromJSONKeyList :: FromJSONKeyFunction [FileSystemAccessMode] #
ToLog FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods build :: FileSystemAccessMode -> ByteStringBuilder #
ToHeader FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toHeader :: HeaderName -> FileSystemAccessMode -> [Header] #
ToQuery FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toQuery :: FileSystemAccessMode -> QueryString #
FromXML FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods parseXML :: [Node] -> Either String FileSystemAccessMode #
ToXML FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toXML :: FileSystemAccessMode -> XML #
ToByteString FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toBS :: FileSystemAccessMode -> ByteString #
FromText FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods fromText :: Text -> Either String FileSystemAccessMode #
ToText FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode Methods toText :: FileSystemAccessMode -> Text #
type Rep FileSystemAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemAccessMode type Rep FileSystemAccessMode = D1 ('MetaData "FileSystemAccessMode" "Amazonka.SageMaker.Types.FileSystemAccessMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FileSystemAccessMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFileSystemAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FileSystemType

newtype FileSystemType Source #

Constructors

FileSystemType'
Fields fromFileSystemType :: Text

Bundled Patterns

pattern FileSystemType_EFS :: FileSystemType
pattern FileSystemType_FSxLustre :: FileSystemType

Instances

Instances details

Eq FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods (==) :: FileSystemType -> FileSystemType -> Bool # (/=) :: FileSystemType -> FileSystemType -> Bool #
Ord FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods compare :: FileSystemType -> FileSystemType -> Ordering # (<) :: FileSystemType -> FileSystemType -> Bool # (<=) :: FileSystemType -> FileSystemType -> Bool # (>) :: FileSystemType -> FileSystemType -> Bool # (>=) :: FileSystemType -> FileSystemType -> Bool # max :: FileSystemType -> FileSystemType -> FileSystemType # min :: FileSystemType -> FileSystemType -> FileSystemType #
Read FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods readsPrec :: Int -> ReadS FileSystemType # readList :: ReadS [FileSystemType] # readPrec :: ReadPrec FileSystemType # readListPrec :: ReadPrec [FileSystemType] #
Show FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods showsPrec :: Int -> FileSystemType -> ShowS # show :: FileSystemType -> String # showList :: [FileSystemType] -> ShowS #
Generic FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Associated Types type Rep FileSystemType :: Type -> Type # Methods from :: FileSystemType -> Rep FileSystemType x # to :: Rep FileSystemType x -> FileSystemType #
NFData FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods rnf :: FileSystemType -> () #
Hashable FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods hashWithSalt :: Int -> FileSystemType -> Int # hash :: FileSystemType -> Int #
ToJSON FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toJSON :: FileSystemType -> Value # toEncoding :: FileSystemType -> Encoding # toJSONList :: [FileSystemType] -> Value # toEncodingList :: [FileSystemType] -> Encoding #
ToJSONKey FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toJSONKey :: ToJSONKeyFunction FileSystemType # toJSONKeyList :: ToJSONKeyFunction [FileSystemType] #
FromJSON FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods parseJSON :: Value -> Parser FileSystemType # parseJSONList :: Value -> Parser [FileSystemType] #
FromJSONKey FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods fromJSONKey :: FromJSONKeyFunction FileSystemType # fromJSONKeyList :: FromJSONKeyFunction [FileSystemType] #
ToLog FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods build :: FileSystemType -> ByteStringBuilder #
ToHeader FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toHeader :: HeaderName -> FileSystemType -> [Header] #
ToQuery FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toQuery :: FileSystemType -> QueryString #
FromXML FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods parseXML :: [Node] -> Either String FileSystemType #
ToXML FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toXML :: FileSystemType -> XML #
ToByteString FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toBS :: FileSystemType -> ByteString #
FromText FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods fromText :: Text -> Either String FileSystemType #
ToText FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType Methods toText :: FileSystemType -> Text #
type Rep FileSystemType Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemType type Rep FileSystemType = D1 ('MetaData "FileSystemType" "Amazonka.SageMaker.Types.FileSystemType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FileSystemType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFileSystemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FlowDefinitionStatus

newtype FlowDefinitionStatus Source #

Constructors

FlowDefinitionStatus'
Fields fromFlowDefinitionStatus :: Text

Bundled Patterns

pattern FlowDefinitionStatus_Active :: FlowDefinitionStatus
pattern FlowDefinitionStatus_Deleting :: FlowDefinitionStatus
pattern FlowDefinitionStatus_Failed :: FlowDefinitionStatus
pattern FlowDefinitionStatus_Initializing :: FlowDefinitionStatus

Instances

Instances details

Eq FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods (==) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool # (/=) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #
Ord FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods compare :: FlowDefinitionStatus -> FlowDefinitionStatus -> Ordering # (<) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool # (<=) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool # (>) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool # (>=) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool # max :: FlowDefinitionStatus -> FlowDefinitionStatus -> FlowDefinitionStatus # min :: FlowDefinitionStatus -> FlowDefinitionStatus -> FlowDefinitionStatus #
Read FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods readsPrec :: Int -> ReadS FlowDefinitionStatus # readList :: ReadS [FlowDefinitionStatus] # readPrec :: ReadPrec FlowDefinitionStatus # readListPrec :: ReadPrec [FlowDefinitionStatus] #
Show FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods showsPrec :: Int -> FlowDefinitionStatus -> ShowS # show :: FlowDefinitionStatus -> String # showList :: [FlowDefinitionStatus] -> ShowS #
Generic FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Associated Types type Rep FlowDefinitionStatus :: Type -> Type # Methods from :: FlowDefinitionStatus -> Rep FlowDefinitionStatus x # to :: Rep FlowDefinitionStatus x -> FlowDefinitionStatus #
NFData FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods rnf :: FlowDefinitionStatus -> () #
Hashable FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods hashWithSalt :: Int -> FlowDefinitionStatus -> Int # hash :: FlowDefinitionStatus -> Int #
ToJSON FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toJSON :: FlowDefinitionStatus -> Value # toEncoding :: FlowDefinitionStatus -> Encoding # toJSONList :: [FlowDefinitionStatus] -> Value # toEncodingList :: [FlowDefinitionStatus] -> Encoding #
ToJSONKey FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toJSONKey :: ToJSONKeyFunction FlowDefinitionStatus # toJSONKeyList :: ToJSONKeyFunction [FlowDefinitionStatus] #
FromJSON FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods parseJSON :: Value -> Parser FlowDefinitionStatus # parseJSONList :: Value -> Parser [FlowDefinitionStatus] #
FromJSONKey FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods fromJSONKey :: FromJSONKeyFunction FlowDefinitionStatus # fromJSONKeyList :: FromJSONKeyFunction [FlowDefinitionStatus] #
ToLog FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods build :: FlowDefinitionStatus -> ByteStringBuilder #
ToHeader FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toHeader :: HeaderName -> FlowDefinitionStatus -> [Header] #
ToQuery FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toQuery :: FlowDefinitionStatus -> QueryString #
FromXML FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods parseXML :: [Node] -> Either String FlowDefinitionStatus #
ToXML FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toXML :: FlowDefinitionStatus -> XML #
ToByteString FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toBS :: FlowDefinitionStatus -> ByteString #
FromText FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods fromText :: Text -> Either String FlowDefinitionStatus #
ToText FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus Methods toText :: FlowDefinitionStatus -> Text #
type Rep FlowDefinitionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus type Rep FlowDefinitionStatus = D1 ('MetaData "FlowDefinitionStatus" "Amazonka.SageMaker.Types.FlowDefinitionStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "FlowDefinitionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFlowDefinitionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Framework

newtype Framework Source #

Constructors

Framework'
Fields fromFramework :: Text

Bundled Patterns

pattern Framework_DARKNET :: Framework
pattern Framework_KERAS :: Framework
pattern Framework_MXNET :: Framework
pattern Framework_ONNX :: Framework
pattern Framework_PYTORCH :: Framework
pattern Framework_SKLEARN :: Framework
pattern Framework_TENSORFLOW :: Framework
pattern Framework_TFLITE :: Framework
pattern Framework_XGBOOST :: Framework

Instances

Instances details

Eq Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods (==) :: Framework -> Framework -> Bool # (/=) :: Framework -> Framework -> Bool #
Ord Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods compare :: Framework -> Framework -> Ordering # (<) :: Framework -> Framework -> Bool # (<=) :: Framework -> Framework -> Bool # (>) :: Framework -> Framework -> Bool # (>=) :: Framework -> Framework -> Bool # max :: Framework -> Framework -> Framework # min :: Framework -> Framework -> Framework #
Read Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods readsPrec :: Int -> ReadS Framework # readList :: ReadS [Framework] # readPrec :: ReadPrec Framework # readListPrec :: ReadPrec [Framework] #
Show Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods showsPrec :: Int -> Framework -> ShowS # show :: Framework -> String # showList :: [Framework] -> ShowS #
Generic Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Associated Types type Rep Framework :: Type -> Type # Methods from :: Framework -> Rep Framework x # to :: Rep Framework x -> Framework #
NFData Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods rnf :: Framework -> () #
Hashable Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods hashWithSalt :: Int -> Framework -> Int # hash :: Framework -> Int #
ToJSON Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toJSON :: Framework -> Value # toEncoding :: Framework -> Encoding # toJSONList :: [Framework] -> Value # toEncodingList :: [Framework] -> Encoding #
ToJSONKey Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toJSONKey :: ToJSONKeyFunction Framework # toJSONKeyList :: ToJSONKeyFunction [Framework] #
FromJSON Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods parseJSON :: Value -> Parser Framework # parseJSONList :: Value -> Parser [Framework] #
FromJSONKey Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods fromJSONKey :: FromJSONKeyFunction Framework # fromJSONKeyList :: FromJSONKeyFunction [Framework] #
ToLog Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods build :: Framework -> ByteStringBuilder #
ToHeader Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toHeader :: HeaderName -> Framework -> [Header] #
ToQuery Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toQuery :: Framework -> QueryString #
FromXML Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods parseXML :: [Node] -> Either String Framework #
ToXML Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toXML :: Framework -> XML #
ToByteString Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toBS :: Framework -> ByteString #
FromText Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods fromText :: Text -> Either String Framework #
ToText Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework Methods toText :: Framework -> Text #
type Rep Framework Source #
Instance details Defined in Amazonka.SageMaker.Types.Framework type Rep Framework = D1 ('MetaData "Framework" "Amazonka.SageMaker.Types.Framework" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "Framework'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFramework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HumanTaskUiStatus

newtype HumanTaskUiStatus Source #

Constructors

HumanTaskUiStatus'
Fields fromHumanTaskUiStatus :: Text

Bundled Patterns

pattern HumanTaskUiStatus_Active :: HumanTaskUiStatus
pattern HumanTaskUiStatus_Deleting :: HumanTaskUiStatus

Instances

Instances details

Eq HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods (==) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool # (/=) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #
Ord HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods compare :: HumanTaskUiStatus -> HumanTaskUiStatus -> Ordering # (<) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool # (<=) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool # (>) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool # (>=) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool # max :: HumanTaskUiStatus -> HumanTaskUiStatus -> HumanTaskUiStatus # min :: HumanTaskUiStatus -> HumanTaskUiStatus -> HumanTaskUiStatus #
Read HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods readsPrec :: Int -> ReadS HumanTaskUiStatus # readList :: ReadS [HumanTaskUiStatus] # readPrec :: ReadPrec HumanTaskUiStatus # readListPrec :: ReadPrec [HumanTaskUiStatus] #
Show HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods showsPrec :: Int -> HumanTaskUiStatus -> ShowS # show :: HumanTaskUiStatus -> String # showList :: [HumanTaskUiStatus] -> ShowS #
Generic HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Associated Types type Rep HumanTaskUiStatus :: Type -> Type # Methods from :: HumanTaskUiStatus -> Rep HumanTaskUiStatus x # to :: Rep HumanTaskUiStatus x -> HumanTaskUiStatus #
NFData HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods rnf :: HumanTaskUiStatus -> () #
Hashable HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods hashWithSalt :: Int -> HumanTaskUiStatus -> Int # hash :: HumanTaskUiStatus -> Int #
ToJSON HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toJSON :: HumanTaskUiStatus -> Value # toEncoding :: HumanTaskUiStatus -> Encoding # toJSONList :: [HumanTaskUiStatus] -> Value # toEncodingList :: [HumanTaskUiStatus] -> Encoding #
ToJSONKey HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toJSONKey :: ToJSONKeyFunction HumanTaskUiStatus # toJSONKeyList :: ToJSONKeyFunction [HumanTaskUiStatus] #
FromJSON HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods parseJSON :: Value -> Parser HumanTaskUiStatus # parseJSONList :: Value -> Parser [HumanTaskUiStatus] #
FromJSONKey HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods fromJSONKey :: FromJSONKeyFunction HumanTaskUiStatus # fromJSONKeyList :: FromJSONKeyFunction [HumanTaskUiStatus] #
ToLog HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods build :: HumanTaskUiStatus -> ByteStringBuilder #
ToHeader HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toHeader :: HeaderName -> HumanTaskUiStatus -> [Header] #
ToQuery HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toQuery :: HumanTaskUiStatus -> QueryString #
FromXML HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods parseXML :: [Node] -> Either String HumanTaskUiStatus #
ToXML HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toXML :: HumanTaskUiStatus -> XML #
ToByteString HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toBS :: HumanTaskUiStatus -> ByteString #
FromText HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods fromText :: Text -> Either String HumanTaskUiStatus #
ToText HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus Methods toText :: HumanTaskUiStatus -> Text #
type Rep HumanTaskUiStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus type Rep HumanTaskUiStatus = D1 ('MetaData "HumanTaskUiStatus" "Amazonka.SageMaker.Types.HumanTaskUiStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HumanTaskUiStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHumanTaskUiStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterScalingType

newtype HyperParameterScalingType Source #

Constructors

HyperParameterScalingType'
Fields fromHyperParameterScalingType :: Text

Bundled Patterns

pattern HyperParameterScalingType_Auto :: HyperParameterScalingType
pattern HyperParameterScalingType_Linear :: HyperParameterScalingType
pattern HyperParameterScalingType_Logarithmic :: HyperParameterScalingType
pattern HyperParameterScalingType_ReverseLogarithmic :: HyperParameterScalingType

Instances

Instances details

Eq HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods (==) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool # (/=) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #
Ord HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods compare :: HyperParameterScalingType -> HyperParameterScalingType -> Ordering # (<) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool # (<=) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool # (>) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool # (>=) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool # max :: HyperParameterScalingType -> HyperParameterScalingType -> HyperParameterScalingType # min :: HyperParameterScalingType -> HyperParameterScalingType -> HyperParameterScalingType #
Read HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods readsPrec :: Int -> ReadS HyperParameterScalingType # readList :: ReadS [HyperParameterScalingType] # readPrec :: ReadPrec HyperParameterScalingType # readListPrec :: ReadPrec [HyperParameterScalingType] #
Show HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods showsPrec :: Int -> HyperParameterScalingType -> ShowS # show :: HyperParameterScalingType -> String # showList :: [HyperParameterScalingType] -> ShowS #
Generic HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Associated Types type Rep HyperParameterScalingType :: Type -> Type # Methods from :: HyperParameterScalingType -> Rep HyperParameterScalingType x # to :: Rep HyperParameterScalingType x -> HyperParameterScalingType #
NFData HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods rnf :: HyperParameterScalingType -> () #
Hashable HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods hashWithSalt :: Int -> HyperParameterScalingType -> Int # hash :: HyperParameterScalingType -> Int #
ToJSON HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toJSON :: HyperParameterScalingType -> Value # toEncoding :: HyperParameterScalingType -> Encoding # toJSONList :: [HyperParameterScalingType] -> Value # toEncodingList :: [HyperParameterScalingType] -> Encoding #
ToJSONKey HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toJSONKey :: ToJSONKeyFunction HyperParameterScalingType # toJSONKeyList :: ToJSONKeyFunction [HyperParameterScalingType] #
FromJSON HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods parseJSON :: Value -> Parser HyperParameterScalingType # parseJSONList :: Value -> Parser [HyperParameterScalingType] #
FromJSONKey HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods fromJSONKey :: FromJSONKeyFunction HyperParameterScalingType # fromJSONKeyList :: FromJSONKeyFunction [HyperParameterScalingType] #
ToLog HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods build :: HyperParameterScalingType -> ByteStringBuilder #
ToHeader HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toHeader :: HeaderName -> HyperParameterScalingType -> [Header] #
ToQuery HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toQuery :: HyperParameterScalingType -> QueryString #
FromXML HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods parseXML :: [Node] -> Either String HyperParameterScalingType #
ToXML HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toXML :: HyperParameterScalingType -> XML #
ToByteString HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toBS :: HyperParameterScalingType -> ByteString #
FromText HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods fromText :: Text -> Either String HyperParameterScalingType #
ToText HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType Methods toText :: HyperParameterScalingType -> Text #
type Rep HyperParameterScalingType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterScalingType type Rep HyperParameterScalingType = D1 ('MetaData "HyperParameterScalingType" "Amazonka.SageMaker.Types.HyperParameterScalingType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HyperParameterScalingType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterScalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobObjectiveType

newtype HyperParameterTuningJobObjectiveType Source #

Constructors

HyperParameterTuningJobObjectiveType'
Fields fromHyperParameterTuningJobObjectiveType :: Text

Bundled Patterns

pattern HyperParameterTuningJobObjectiveType_Maximize :: HyperParameterTuningJobObjectiveType
pattern HyperParameterTuningJobObjectiveType_Minimize :: HyperParameterTuningJobObjectiveType

Instances

Instances details

Eq HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods (==) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool # (/=) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #
Ord HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods compare :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Ordering # (<) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool # (<=) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool # (>) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool # (>=) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool # max :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType # min :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType #
Read HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods readsPrec :: Int -> ReadS HyperParameterTuningJobObjectiveType # readList :: ReadS [HyperParameterTuningJobObjectiveType] # readPrec :: ReadPrec HyperParameterTuningJobObjectiveType # readListPrec :: ReadPrec [HyperParameterTuningJobObjectiveType] #
Show HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods showsPrec :: Int -> HyperParameterTuningJobObjectiveType -> ShowS # show :: HyperParameterTuningJobObjectiveType -> String # showList :: [HyperParameterTuningJobObjectiveType] -> ShowS #
Generic HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Associated Types type Rep HyperParameterTuningJobObjectiveType :: Type -> Type # Methods from :: HyperParameterTuningJobObjectiveType -> Rep HyperParameterTuningJobObjectiveType x # to :: Rep HyperParameterTuningJobObjectiveType x -> HyperParameterTuningJobObjectiveType #
NFData HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods rnf :: HyperParameterTuningJobObjectiveType -> () #
Hashable HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods hashWithSalt :: Int -> HyperParameterTuningJobObjectiveType -> Int # hash :: HyperParameterTuningJobObjectiveType -> Int #
ToJSON HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toJSON :: HyperParameterTuningJobObjectiveType -> Value # toEncoding :: HyperParameterTuningJobObjectiveType -> Encoding # toJSONList :: [HyperParameterTuningJobObjectiveType] -> Value # toEncodingList :: [HyperParameterTuningJobObjectiveType] -> Encoding #
ToJSONKey HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobObjectiveType # toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobObjectiveType] #
FromJSON HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods parseJSON :: Value -> Parser HyperParameterTuningJobObjectiveType # parseJSONList :: Value -> Parser [HyperParameterTuningJobObjectiveType] #
FromJSONKey HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobObjectiveType # fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobObjectiveType] #
ToLog HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods build :: HyperParameterTuningJobObjectiveType -> ByteStringBuilder #
ToHeader HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toHeader :: HeaderName -> HyperParameterTuningJobObjectiveType -> [Header] #
ToQuery HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toQuery :: HyperParameterTuningJobObjectiveType -> QueryString #
FromXML HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods parseXML :: [Node] -> Either String HyperParameterTuningJobObjectiveType #
ToXML HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toXML :: HyperParameterTuningJobObjectiveType -> XML #
ToByteString HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toBS :: HyperParameterTuningJobObjectiveType -> ByteString #
FromText HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods fromText :: Text -> Either String HyperParameterTuningJobObjectiveType #
ToText HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType Methods toText :: HyperParameterTuningJobObjectiveType -> Text #
type Rep HyperParameterTuningJobObjectiveType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType type Rep HyperParameterTuningJobObjectiveType = D1 ('MetaData "HyperParameterTuningJobObjectiveType" "Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HyperParameterTuningJobObjectiveType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobObjectiveType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobSortByOptions

newtype HyperParameterTuningJobSortByOptions Source #

Constructors

HyperParameterTuningJobSortByOptions'
Fields fromHyperParameterTuningJobSortByOptions :: Text

Bundled Patterns

pattern HyperParameterTuningJobSortByOptions_CreationTime :: HyperParameterTuningJobSortByOptions
pattern HyperParameterTuningJobSortByOptions_Name :: HyperParameterTuningJobSortByOptions
pattern HyperParameterTuningJobSortByOptions_Status :: HyperParameterTuningJobSortByOptions

Instances

Instances details

Eq HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods (==) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool # (/=) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #
Ord HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods compare :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Ordering # (<) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool # (<=) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool # (>) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool # (>=) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool # max :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions # min :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions #
Read HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods readsPrec :: Int -> ReadS HyperParameterTuningJobSortByOptions # readList :: ReadS [HyperParameterTuningJobSortByOptions] # readPrec :: ReadPrec HyperParameterTuningJobSortByOptions # readListPrec :: ReadPrec [HyperParameterTuningJobSortByOptions] #
Show HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods showsPrec :: Int -> HyperParameterTuningJobSortByOptions -> ShowS # show :: HyperParameterTuningJobSortByOptions -> String # showList :: [HyperParameterTuningJobSortByOptions] -> ShowS #
Generic HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Associated Types type Rep HyperParameterTuningJobSortByOptions :: Type -> Type # Methods from :: HyperParameterTuningJobSortByOptions -> Rep HyperParameterTuningJobSortByOptions x # to :: Rep HyperParameterTuningJobSortByOptions x -> HyperParameterTuningJobSortByOptions #
NFData HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods rnf :: HyperParameterTuningJobSortByOptions -> () #
Hashable HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods hashWithSalt :: Int -> HyperParameterTuningJobSortByOptions -> Int # hash :: HyperParameterTuningJobSortByOptions -> Int #
ToJSON HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toJSON :: HyperParameterTuningJobSortByOptions -> Value # toEncoding :: HyperParameterTuningJobSortByOptions -> Encoding # toJSONList :: [HyperParameterTuningJobSortByOptions] -> Value # toEncodingList :: [HyperParameterTuningJobSortByOptions] -> Encoding #
ToJSONKey HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobSortByOptions # toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobSortByOptions] #
FromJSON HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods parseJSON :: Value -> Parser HyperParameterTuningJobSortByOptions # parseJSONList :: Value -> Parser [HyperParameterTuningJobSortByOptions] #
FromJSONKey HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobSortByOptions # fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobSortByOptions] #
ToLog HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods build :: HyperParameterTuningJobSortByOptions -> ByteStringBuilder #
ToHeader HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toHeader :: HeaderName -> HyperParameterTuningJobSortByOptions -> [Header] #
ToQuery HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toQuery :: HyperParameterTuningJobSortByOptions -> QueryString #
FromXML HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods parseXML :: [Node] -> Either String HyperParameterTuningJobSortByOptions #
ToXML HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toXML :: HyperParameterTuningJobSortByOptions -> XML #
ToByteString HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toBS :: HyperParameterTuningJobSortByOptions -> ByteString #
FromText HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods fromText :: Text -> Either String HyperParameterTuningJobSortByOptions #
ToText HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions Methods toText :: HyperParameterTuningJobSortByOptions -> Text #
type Rep HyperParameterTuningJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions type Rep HyperParameterTuningJobSortByOptions = D1 ('MetaData "HyperParameterTuningJobSortByOptions" "Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HyperParameterTuningJobSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobStatus

newtype HyperParameterTuningJobStatus Source #

Constructors

HyperParameterTuningJobStatus'
Fields fromHyperParameterTuningJobStatus :: Text

Bundled Patterns

pattern HyperParameterTuningJobStatus_Completed :: HyperParameterTuningJobStatus
pattern HyperParameterTuningJobStatus_Failed :: HyperParameterTuningJobStatus
pattern HyperParameterTuningJobStatus_InProgress :: HyperParameterTuningJobStatus
pattern HyperParameterTuningJobStatus_Stopped :: HyperParameterTuningJobStatus
pattern HyperParameterTuningJobStatus_Stopping :: HyperParameterTuningJobStatus

Instances

Instances details

Eq HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods (==) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool # (/=) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #
Ord HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods compare :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Ordering # (<) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool # (<=) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool # (>) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool # (>=) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool # max :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus # min :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus #
Read HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods readsPrec :: Int -> ReadS HyperParameterTuningJobStatus # readList :: ReadS [HyperParameterTuningJobStatus] # readPrec :: ReadPrec HyperParameterTuningJobStatus # readListPrec :: ReadPrec [HyperParameterTuningJobStatus] #
Show HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods showsPrec :: Int -> HyperParameterTuningJobStatus -> ShowS # show :: HyperParameterTuningJobStatus -> String # showList :: [HyperParameterTuningJobStatus] -> ShowS #
Generic HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Associated Types type Rep HyperParameterTuningJobStatus :: Type -> Type # Methods from :: HyperParameterTuningJobStatus -> Rep HyperParameterTuningJobStatus x # to :: Rep HyperParameterTuningJobStatus x -> HyperParameterTuningJobStatus #
NFData HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods rnf :: HyperParameterTuningJobStatus -> () #
Hashable HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods hashWithSalt :: Int -> HyperParameterTuningJobStatus -> Int # hash :: HyperParameterTuningJobStatus -> Int #
ToJSON HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toJSON :: HyperParameterTuningJobStatus -> Value # toEncoding :: HyperParameterTuningJobStatus -> Encoding # toJSONList :: [HyperParameterTuningJobStatus] -> Value # toEncodingList :: [HyperParameterTuningJobStatus] -> Encoding #
ToJSONKey HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobStatus # toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobStatus] #
FromJSON HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods parseJSON :: Value -> Parser HyperParameterTuningJobStatus # parseJSONList :: Value -> Parser [HyperParameterTuningJobStatus] #
FromJSONKey HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobStatus # fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobStatus] #
ToLog HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods build :: HyperParameterTuningJobStatus -> ByteStringBuilder #
ToHeader HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toHeader :: HeaderName -> HyperParameterTuningJobStatus -> [Header] #
ToQuery HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toQuery :: HyperParameterTuningJobStatus -> QueryString #
FromXML HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods parseXML :: [Node] -> Either String HyperParameterTuningJobStatus #
ToXML HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toXML :: HyperParameterTuningJobStatus -> XML #
ToByteString HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toBS :: HyperParameterTuningJobStatus -> ByteString #
FromText HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods fromText :: Text -> Either String HyperParameterTuningJobStatus #
ToText HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus Methods toText :: HyperParameterTuningJobStatus -> Text #
type Rep HyperParameterTuningJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus type Rep HyperParameterTuningJobStatus = D1 ('MetaData "HyperParameterTuningJobStatus" "Amazonka.SageMaker.Types.HyperParameterTuningJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HyperParameterTuningJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobStrategyType

newtype HyperParameterTuningJobStrategyType Source #

The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model. Currently, the only supported value is Bayesian.

Constructors

HyperParameterTuningJobStrategyType'
Fields fromHyperParameterTuningJobStrategyType :: Text

Bundled Patterns

pattern HyperParameterTuningJobStrategyType_Bayesian :: HyperParameterTuningJobStrategyType
pattern HyperParameterTuningJobStrategyType_Random :: HyperParameterTuningJobStrategyType

Instances

Instances details

Eq HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods (==) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool # (/=) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #
Ord HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods compare :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Ordering # (<) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool # (<=) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool # (>) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool # (>=) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool # max :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType # min :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType #
Read HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods readsPrec :: Int -> ReadS HyperParameterTuningJobStrategyType # readList :: ReadS [HyperParameterTuningJobStrategyType] # readPrec :: ReadPrec HyperParameterTuningJobStrategyType # readListPrec :: ReadPrec [HyperParameterTuningJobStrategyType] #
Show HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods showsPrec :: Int -> HyperParameterTuningJobStrategyType -> ShowS # show :: HyperParameterTuningJobStrategyType -> String # showList :: [HyperParameterTuningJobStrategyType] -> ShowS #
Generic HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Associated Types type Rep HyperParameterTuningJobStrategyType :: Type -> Type # Methods from :: HyperParameterTuningJobStrategyType -> Rep HyperParameterTuningJobStrategyType x # to :: Rep HyperParameterTuningJobStrategyType x -> HyperParameterTuningJobStrategyType #
NFData HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods rnf :: HyperParameterTuningJobStrategyType -> () #
Hashable HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods hashWithSalt :: Int -> HyperParameterTuningJobStrategyType -> Int # hash :: HyperParameterTuningJobStrategyType -> Int #
ToJSON HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toJSON :: HyperParameterTuningJobStrategyType -> Value # toEncoding :: HyperParameterTuningJobStrategyType -> Encoding # toJSONList :: [HyperParameterTuningJobStrategyType] -> Value # toEncodingList :: [HyperParameterTuningJobStrategyType] -> Encoding #
ToJSONKey HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobStrategyType # toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobStrategyType] #
FromJSON HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods parseJSON :: Value -> Parser HyperParameterTuningJobStrategyType # parseJSONList :: Value -> Parser [HyperParameterTuningJobStrategyType] #
FromJSONKey HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobStrategyType # fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobStrategyType] #
ToLog HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods build :: HyperParameterTuningJobStrategyType -> ByteStringBuilder #
ToHeader HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toHeader :: HeaderName -> HyperParameterTuningJobStrategyType -> [Header] #
ToQuery HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toQuery :: HyperParameterTuningJobStrategyType -> QueryString #
FromXML HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods parseXML :: [Node] -> Either String HyperParameterTuningJobStrategyType #
ToXML HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toXML :: HyperParameterTuningJobStrategyType -> XML #
ToByteString HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toBS :: HyperParameterTuningJobStrategyType -> ByteString #
FromText HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods fromText :: Text -> Either String HyperParameterTuningJobStrategyType #
ToText HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType Methods toText :: HyperParameterTuningJobStrategyType -> Text #
type Rep HyperParameterTuningJobStrategyType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType type Rep HyperParameterTuningJobStrategyType = D1 ('MetaData "HyperParameterTuningJobStrategyType" "Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HyperParameterTuningJobStrategyType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobStrategyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobWarmStartType

newtype HyperParameterTuningJobWarmStartType Source #

Constructors

HyperParameterTuningJobWarmStartType'
Fields fromHyperParameterTuningJobWarmStartType :: Text

Bundled Patterns

pattern HyperParameterTuningJobWarmStartType_IdenticalDataAndAlgorithm :: HyperParameterTuningJobWarmStartType
pattern HyperParameterTuningJobWarmStartType_TransferLearning :: HyperParameterTuningJobWarmStartType

Instances

Instances details

Eq HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods (==) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool # (/=) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #
Ord HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods compare :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Ordering # (<) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool # (<=) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool # (>) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool # (>=) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool # max :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType # min :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType #
Read HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods readsPrec :: Int -> ReadS HyperParameterTuningJobWarmStartType # readList :: ReadS [HyperParameterTuningJobWarmStartType] # readPrec :: ReadPrec HyperParameterTuningJobWarmStartType # readListPrec :: ReadPrec [HyperParameterTuningJobWarmStartType] #
Show HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods showsPrec :: Int -> HyperParameterTuningJobWarmStartType -> ShowS # show :: HyperParameterTuningJobWarmStartType -> String # showList :: [HyperParameterTuningJobWarmStartType] -> ShowS #
Generic HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Associated Types type Rep HyperParameterTuningJobWarmStartType :: Type -> Type # Methods from :: HyperParameterTuningJobWarmStartType -> Rep HyperParameterTuningJobWarmStartType x # to :: Rep HyperParameterTuningJobWarmStartType x -> HyperParameterTuningJobWarmStartType #
NFData HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods rnf :: HyperParameterTuningJobWarmStartType -> () #
Hashable HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods hashWithSalt :: Int -> HyperParameterTuningJobWarmStartType -> Int # hash :: HyperParameterTuningJobWarmStartType -> Int #
ToJSON HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toJSON :: HyperParameterTuningJobWarmStartType -> Value # toEncoding :: HyperParameterTuningJobWarmStartType -> Encoding # toJSONList :: [HyperParameterTuningJobWarmStartType] -> Value # toEncodingList :: [HyperParameterTuningJobWarmStartType] -> Encoding #
ToJSONKey HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobWarmStartType # toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobWarmStartType] #
FromJSON HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods parseJSON :: Value -> Parser HyperParameterTuningJobWarmStartType # parseJSONList :: Value -> Parser [HyperParameterTuningJobWarmStartType] #
FromJSONKey HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobWarmStartType # fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobWarmStartType] #
ToLog HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods build :: HyperParameterTuningJobWarmStartType -> ByteStringBuilder #
ToHeader HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toHeader :: HeaderName -> HyperParameterTuningJobWarmStartType -> [Header] #
ToQuery HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toQuery :: HyperParameterTuningJobWarmStartType -> QueryString #
FromXML HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods parseXML :: [Node] -> Either String HyperParameterTuningJobWarmStartType #
ToXML HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toXML :: HyperParameterTuningJobWarmStartType -> XML #
ToByteString HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toBS :: HyperParameterTuningJobWarmStartType -> ByteString #
FromText HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods fromText :: Text -> Either String HyperParameterTuningJobWarmStartType #
ToText HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType Methods toText :: HyperParameterTuningJobWarmStartType -> Text #
type Rep HyperParameterTuningJobWarmStartType Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType type Rep HyperParameterTuningJobWarmStartType = D1 ('MetaData "HyperParameterTuningJobWarmStartType" "Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "HyperParameterTuningJobWarmStartType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobWarmStartType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageSortBy

newtype ImageSortBy Source #

Constructors

ImageSortBy'
Fields fromImageSortBy :: Text

Bundled Patterns

pattern ImageSortBy_CREATION_TIME :: ImageSortBy
pattern ImageSortBy_IMAGE_NAME :: ImageSortBy
pattern ImageSortBy_LAST_MODIFIED_TIME :: ImageSortBy

Instances

Instances details

Eq ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods (==) :: ImageSortBy -> ImageSortBy -> Bool # (/=) :: ImageSortBy -> ImageSortBy -> Bool #
Ord ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods compare :: ImageSortBy -> ImageSortBy -> Ordering # (<) :: ImageSortBy -> ImageSortBy -> Bool # (<=) :: ImageSortBy -> ImageSortBy -> Bool # (>) :: ImageSortBy -> ImageSortBy -> Bool # (>=) :: ImageSortBy -> ImageSortBy -> Bool # max :: ImageSortBy -> ImageSortBy -> ImageSortBy # min :: ImageSortBy -> ImageSortBy -> ImageSortBy #
Read ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods readsPrec :: Int -> ReadS ImageSortBy # readList :: ReadS [ImageSortBy] # readPrec :: ReadPrec ImageSortBy # readListPrec :: ReadPrec [ImageSortBy] #
Show ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods showsPrec :: Int -> ImageSortBy -> ShowS # show :: ImageSortBy -> String # showList :: [ImageSortBy] -> ShowS #
Generic ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Associated Types type Rep ImageSortBy :: Type -> Type # Methods from :: ImageSortBy -> Rep ImageSortBy x # to :: Rep ImageSortBy x -> ImageSortBy #
NFData ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods rnf :: ImageSortBy -> () #
Hashable ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods hashWithSalt :: Int -> ImageSortBy -> Int # hash :: ImageSortBy -> Int #
ToJSON ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toJSON :: ImageSortBy -> Value # toEncoding :: ImageSortBy -> Encoding # toJSONList :: [ImageSortBy] -> Value # toEncodingList :: [ImageSortBy] -> Encoding #
ToJSONKey ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toJSONKey :: ToJSONKeyFunction ImageSortBy # toJSONKeyList :: ToJSONKeyFunction [ImageSortBy] #
FromJSON ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods parseJSON :: Value -> Parser ImageSortBy # parseJSONList :: Value -> Parser [ImageSortBy] #
FromJSONKey ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods fromJSONKey :: FromJSONKeyFunction ImageSortBy # fromJSONKeyList :: FromJSONKeyFunction [ImageSortBy] #
ToLog ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods build :: ImageSortBy -> ByteStringBuilder #
ToHeader ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toHeader :: HeaderName -> ImageSortBy -> [Header] #
ToQuery ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toQuery :: ImageSortBy -> QueryString #
FromXML ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods parseXML :: [Node] -> Either String ImageSortBy #
ToXML ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toXML :: ImageSortBy -> XML #
ToByteString ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toBS :: ImageSortBy -> ByteString #
FromText ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods fromText :: Text -> Either String ImageSortBy #
ToText ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy Methods toText :: ImageSortBy -> Text #
type Rep ImageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortBy type Rep ImageSortBy = D1 ('MetaData "ImageSortBy" "Amazonka.SageMaker.Types.ImageSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ImageSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageSortOrder

newtype ImageSortOrder Source #

Constructors

ImageSortOrder'
Fields fromImageSortOrder :: Text

Bundled Patterns

pattern ImageSortOrder_ASCENDING :: ImageSortOrder
pattern ImageSortOrder_DESCENDING :: ImageSortOrder

Instances

Instances details

Eq ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods (==) :: ImageSortOrder -> ImageSortOrder -> Bool # (/=) :: ImageSortOrder -> ImageSortOrder -> Bool #
Ord ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods compare :: ImageSortOrder -> ImageSortOrder -> Ordering # (<) :: ImageSortOrder -> ImageSortOrder -> Bool # (<=) :: ImageSortOrder -> ImageSortOrder -> Bool # (>) :: ImageSortOrder -> ImageSortOrder -> Bool # (>=) :: ImageSortOrder -> ImageSortOrder -> Bool # max :: ImageSortOrder -> ImageSortOrder -> ImageSortOrder # min :: ImageSortOrder -> ImageSortOrder -> ImageSortOrder #
Read ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods readsPrec :: Int -> ReadS ImageSortOrder # readList :: ReadS [ImageSortOrder] # readPrec :: ReadPrec ImageSortOrder # readListPrec :: ReadPrec [ImageSortOrder] #
Show ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods showsPrec :: Int -> ImageSortOrder -> ShowS # show :: ImageSortOrder -> String # showList :: [ImageSortOrder] -> ShowS #
Generic ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Associated Types type Rep ImageSortOrder :: Type -> Type # Methods from :: ImageSortOrder -> Rep ImageSortOrder x # to :: Rep ImageSortOrder x -> ImageSortOrder #
NFData ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods rnf :: ImageSortOrder -> () #
Hashable ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods hashWithSalt :: Int -> ImageSortOrder -> Int # hash :: ImageSortOrder -> Int #
ToJSON ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toJSON :: ImageSortOrder -> Value # toEncoding :: ImageSortOrder -> Encoding # toJSONList :: [ImageSortOrder] -> Value # toEncodingList :: [ImageSortOrder] -> Encoding #
ToJSONKey ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toJSONKey :: ToJSONKeyFunction ImageSortOrder # toJSONKeyList :: ToJSONKeyFunction [ImageSortOrder] #
FromJSON ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods parseJSON :: Value -> Parser ImageSortOrder # parseJSONList :: Value -> Parser [ImageSortOrder] #
FromJSONKey ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods fromJSONKey :: FromJSONKeyFunction ImageSortOrder # fromJSONKeyList :: FromJSONKeyFunction [ImageSortOrder] #
ToLog ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods build :: ImageSortOrder -> ByteStringBuilder #
ToHeader ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toHeader :: HeaderName -> ImageSortOrder -> [Header] #
ToQuery ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toQuery :: ImageSortOrder -> QueryString #
FromXML ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods parseXML :: [Node] -> Either String ImageSortOrder #
ToXML ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toXML :: ImageSortOrder -> XML #
ToByteString ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toBS :: ImageSortOrder -> ByteString #
FromText ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods fromText :: Text -> Either String ImageSortOrder #
ToText ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder Methods toText :: ImageSortOrder -> Text #
type Rep ImageSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageSortOrder type Rep ImageSortOrder = D1 ('MetaData "ImageSortOrder" "Amazonka.SageMaker.Types.ImageSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ImageSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageStatus

newtype ImageStatus Source #

Constructors

ImageStatus'
Fields fromImageStatus :: Text

Bundled Patterns

pattern ImageStatus_CREATED :: ImageStatus
pattern ImageStatus_CREATE_FAILED :: ImageStatus
pattern ImageStatus_CREATING :: ImageStatus
pattern ImageStatus_DELETE_FAILED :: ImageStatus
pattern ImageStatus_DELETING :: ImageStatus
pattern ImageStatus_UPDATE_FAILED :: ImageStatus
pattern ImageStatus_UPDATING :: ImageStatus

Instances

Instances details

Eq ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods (==) :: ImageStatus -> ImageStatus -> Bool # (/=) :: ImageStatus -> ImageStatus -> Bool #
Ord ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods compare :: ImageStatus -> ImageStatus -> Ordering # (<) :: ImageStatus -> ImageStatus -> Bool # (<=) :: ImageStatus -> ImageStatus -> Bool # (>) :: ImageStatus -> ImageStatus -> Bool # (>=) :: ImageStatus -> ImageStatus -> Bool # max :: ImageStatus -> ImageStatus -> ImageStatus # min :: ImageStatus -> ImageStatus -> ImageStatus #
Read ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods readsPrec :: Int -> ReadS ImageStatus # readList :: ReadS [ImageStatus] # readPrec :: ReadPrec ImageStatus # readListPrec :: ReadPrec [ImageStatus] #
Show ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods showsPrec :: Int -> ImageStatus -> ShowS # show :: ImageStatus -> String # showList :: [ImageStatus] -> ShowS #
Generic ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Associated Types type Rep ImageStatus :: Type -> Type # Methods from :: ImageStatus -> Rep ImageStatus x # to :: Rep ImageStatus x -> ImageStatus #
NFData ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods rnf :: ImageStatus -> () #
Hashable ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods hashWithSalt :: Int -> ImageStatus -> Int # hash :: ImageStatus -> Int #
ToJSON ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toJSON :: ImageStatus -> Value # toEncoding :: ImageStatus -> Encoding # toJSONList :: [ImageStatus] -> Value # toEncodingList :: [ImageStatus] -> Encoding #
ToJSONKey ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toJSONKey :: ToJSONKeyFunction ImageStatus # toJSONKeyList :: ToJSONKeyFunction [ImageStatus] #
FromJSON ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods parseJSON :: Value -> Parser ImageStatus # parseJSONList :: Value -> Parser [ImageStatus] #
FromJSONKey ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods fromJSONKey :: FromJSONKeyFunction ImageStatus # fromJSONKeyList :: FromJSONKeyFunction [ImageStatus] #
ToLog ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods build :: ImageStatus -> ByteStringBuilder #
ToHeader ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toHeader :: HeaderName -> ImageStatus -> [Header] #
ToQuery ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toQuery :: ImageStatus -> QueryString #
FromXML ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods parseXML :: [Node] -> Either String ImageStatus #
ToXML ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toXML :: ImageStatus -> XML #
ToByteString ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toBS :: ImageStatus -> ByteString #
FromText ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods fromText :: Text -> Either String ImageStatus #
ToText ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus Methods toText :: ImageStatus -> Text #
type Rep ImageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageStatus type Rep ImageStatus = D1 ('MetaData "ImageStatus" "Amazonka.SageMaker.Types.ImageStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ImageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageVersionSortBy

newtype ImageVersionSortBy Source #

Constructors

ImageVersionSortBy'
Fields fromImageVersionSortBy :: Text

Bundled Patterns

pattern ImageVersionSortBy_CREATION_TIME :: ImageVersionSortBy
pattern ImageVersionSortBy_LAST_MODIFIED_TIME :: ImageVersionSortBy
pattern ImageVersionSortBy_VERSION :: ImageVersionSortBy

Instances

Instances details

Eq ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods (==) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool # (/=) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #
Ord ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods compare :: ImageVersionSortBy -> ImageVersionSortBy -> Ordering # (<) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool # (<=) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool # (>) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool # (>=) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool # max :: ImageVersionSortBy -> ImageVersionSortBy -> ImageVersionSortBy # min :: ImageVersionSortBy -> ImageVersionSortBy -> ImageVersionSortBy #
Read ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods readsPrec :: Int -> ReadS ImageVersionSortBy # readList :: ReadS [ImageVersionSortBy] # readPrec :: ReadPrec ImageVersionSortBy # readListPrec :: ReadPrec [ImageVersionSortBy] #
Show ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods showsPrec :: Int -> ImageVersionSortBy -> ShowS # show :: ImageVersionSortBy -> String # showList :: [ImageVersionSortBy] -> ShowS #
Generic ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Associated Types type Rep ImageVersionSortBy :: Type -> Type # Methods from :: ImageVersionSortBy -> Rep ImageVersionSortBy x # to :: Rep ImageVersionSortBy x -> ImageVersionSortBy #
NFData ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods rnf :: ImageVersionSortBy -> () #
Hashable ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods hashWithSalt :: Int -> ImageVersionSortBy -> Int # hash :: ImageVersionSortBy -> Int #
ToJSON ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toJSON :: ImageVersionSortBy -> Value # toEncoding :: ImageVersionSortBy -> Encoding # toJSONList :: [ImageVersionSortBy] -> Value # toEncodingList :: [ImageVersionSortBy] -> Encoding #
ToJSONKey ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toJSONKey :: ToJSONKeyFunction ImageVersionSortBy # toJSONKeyList :: ToJSONKeyFunction [ImageVersionSortBy] #
FromJSON ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods parseJSON :: Value -> Parser ImageVersionSortBy # parseJSONList :: Value -> Parser [ImageVersionSortBy] #
FromJSONKey ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods fromJSONKey :: FromJSONKeyFunction ImageVersionSortBy # fromJSONKeyList :: FromJSONKeyFunction [ImageVersionSortBy] #
ToLog ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods build :: ImageVersionSortBy -> ByteStringBuilder #
ToHeader ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toHeader :: HeaderName -> ImageVersionSortBy -> [Header] #
ToQuery ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toQuery :: ImageVersionSortBy -> QueryString #
FromXML ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods parseXML :: [Node] -> Either String ImageVersionSortBy #
ToXML ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toXML :: ImageVersionSortBy -> XML #
ToByteString ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toBS :: ImageVersionSortBy -> ByteString #
FromText ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods fromText :: Text -> Either String ImageVersionSortBy #
ToText ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy Methods toText :: ImageVersionSortBy -> Text #
type Rep ImageVersionSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortBy type Rep ImageVersionSortBy = D1 ('MetaData "ImageVersionSortBy" "Amazonka.SageMaker.Types.ImageVersionSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ImageVersionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageVersionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageVersionSortOrder

newtype ImageVersionSortOrder Source #

Constructors

ImageVersionSortOrder'
Fields fromImageVersionSortOrder :: Text

Bundled Patterns

pattern ImageVersionSortOrder_ASCENDING :: ImageVersionSortOrder
pattern ImageVersionSortOrder_DESCENDING :: ImageVersionSortOrder

Instances

Instances details

Eq ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods (==) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool # (/=) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #
Ord ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods compare :: ImageVersionSortOrder -> ImageVersionSortOrder -> Ordering # (<) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool # (<=) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool # (>) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool # (>=) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool # max :: ImageVersionSortOrder -> ImageVersionSortOrder -> ImageVersionSortOrder # min :: ImageVersionSortOrder -> ImageVersionSortOrder -> ImageVersionSortOrder #
Read ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods readsPrec :: Int -> ReadS ImageVersionSortOrder # readList :: ReadS [ImageVersionSortOrder] # readPrec :: ReadPrec ImageVersionSortOrder # readListPrec :: ReadPrec [ImageVersionSortOrder] #
Show ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods showsPrec :: Int -> ImageVersionSortOrder -> ShowS # show :: ImageVersionSortOrder -> String # showList :: [ImageVersionSortOrder] -> ShowS #
Generic ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Associated Types type Rep ImageVersionSortOrder :: Type -> Type # Methods from :: ImageVersionSortOrder -> Rep ImageVersionSortOrder x # to :: Rep ImageVersionSortOrder x -> ImageVersionSortOrder #
NFData ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods rnf :: ImageVersionSortOrder -> () #
Hashable ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods hashWithSalt :: Int -> ImageVersionSortOrder -> Int # hash :: ImageVersionSortOrder -> Int #
ToJSON ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toJSON :: ImageVersionSortOrder -> Value # toEncoding :: ImageVersionSortOrder -> Encoding # toJSONList :: [ImageVersionSortOrder] -> Value # toEncodingList :: [ImageVersionSortOrder] -> Encoding #
ToJSONKey ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toJSONKey :: ToJSONKeyFunction ImageVersionSortOrder # toJSONKeyList :: ToJSONKeyFunction [ImageVersionSortOrder] #
FromJSON ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods parseJSON :: Value -> Parser ImageVersionSortOrder # parseJSONList :: Value -> Parser [ImageVersionSortOrder] #
FromJSONKey ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods fromJSONKey :: FromJSONKeyFunction ImageVersionSortOrder # fromJSONKeyList :: FromJSONKeyFunction [ImageVersionSortOrder] #
ToLog ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods build :: ImageVersionSortOrder -> ByteStringBuilder #
ToHeader ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toHeader :: HeaderName -> ImageVersionSortOrder -> [Header] #
ToQuery ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toQuery :: ImageVersionSortOrder -> QueryString #
FromXML ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods parseXML :: [Node] -> Either String ImageVersionSortOrder #
ToXML ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toXML :: ImageVersionSortOrder -> XML #
ToByteString ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toBS :: ImageVersionSortOrder -> ByteString #
FromText ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods fromText :: Text -> Either String ImageVersionSortOrder #
ToText ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder Methods toText :: ImageVersionSortOrder -> Text #
type Rep ImageVersionSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder type Rep ImageVersionSortOrder = D1 ('MetaData "ImageVersionSortOrder" "Amazonka.SageMaker.Types.ImageVersionSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ImageVersionSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageVersionSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageVersionStatus

newtype ImageVersionStatus Source #

Constructors

ImageVersionStatus'
Fields fromImageVersionStatus :: Text

Bundled Patterns

pattern ImageVersionStatus_CREATED :: ImageVersionStatus
pattern ImageVersionStatus_CREATE_FAILED :: ImageVersionStatus
pattern ImageVersionStatus_CREATING :: ImageVersionStatus
pattern ImageVersionStatus_DELETE_FAILED :: ImageVersionStatus
pattern ImageVersionStatus_DELETING :: ImageVersionStatus

Instances

Instances details

Eq ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods (==) :: ImageVersionStatus -> ImageVersionStatus -> Bool # (/=) :: ImageVersionStatus -> ImageVersionStatus -> Bool #
Ord ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods compare :: ImageVersionStatus -> ImageVersionStatus -> Ordering # (<) :: ImageVersionStatus -> ImageVersionStatus -> Bool # (<=) :: ImageVersionStatus -> ImageVersionStatus -> Bool # (>) :: ImageVersionStatus -> ImageVersionStatus -> Bool # (>=) :: ImageVersionStatus -> ImageVersionStatus -> Bool # max :: ImageVersionStatus -> ImageVersionStatus -> ImageVersionStatus # min :: ImageVersionStatus -> ImageVersionStatus -> ImageVersionStatus #
Read ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods readsPrec :: Int -> ReadS ImageVersionStatus # readList :: ReadS [ImageVersionStatus] # readPrec :: ReadPrec ImageVersionStatus # readListPrec :: ReadPrec [ImageVersionStatus] #
Show ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods showsPrec :: Int -> ImageVersionStatus -> ShowS # show :: ImageVersionStatus -> String # showList :: [ImageVersionStatus] -> ShowS #
Generic ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Associated Types type Rep ImageVersionStatus :: Type -> Type # Methods from :: ImageVersionStatus -> Rep ImageVersionStatus x # to :: Rep ImageVersionStatus x -> ImageVersionStatus #
NFData ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods rnf :: ImageVersionStatus -> () #
Hashable ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods hashWithSalt :: Int -> ImageVersionStatus -> Int # hash :: ImageVersionStatus -> Int #
ToJSON ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toJSON :: ImageVersionStatus -> Value # toEncoding :: ImageVersionStatus -> Encoding # toJSONList :: [ImageVersionStatus] -> Value # toEncodingList :: [ImageVersionStatus] -> Encoding #
ToJSONKey ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toJSONKey :: ToJSONKeyFunction ImageVersionStatus # toJSONKeyList :: ToJSONKeyFunction [ImageVersionStatus] #
FromJSON ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods parseJSON :: Value -> Parser ImageVersionStatus # parseJSONList :: Value -> Parser [ImageVersionStatus] #
FromJSONKey ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods fromJSONKey :: FromJSONKeyFunction ImageVersionStatus # fromJSONKeyList :: FromJSONKeyFunction [ImageVersionStatus] #
ToLog ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods build :: ImageVersionStatus -> ByteStringBuilder #
ToHeader ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toHeader :: HeaderName -> ImageVersionStatus -> [Header] #
ToQuery ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toQuery :: ImageVersionStatus -> QueryString #
FromXML ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods parseXML :: [Node] -> Either String ImageVersionStatus #
ToXML ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toXML :: ImageVersionStatus -> XML #
ToByteString ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toBS :: ImageVersionStatus -> ByteString #
FromText ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods fromText :: Text -> Either String ImageVersionStatus #
ToText ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus Methods toText :: ImageVersionStatus -> Text #
type Rep ImageVersionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersionStatus type Rep ImageVersionStatus = D1 ('MetaData "ImageVersionStatus" "Amazonka.SageMaker.Types.ImageVersionStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ImageVersionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferenceExecutionMode

newtype InferenceExecutionMode Source #

Constructors

InferenceExecutionMode'
Fields fromInferenceExecutionMode :: Text

Bundled Patterns

pattern InferenceExecutionMode_Direct :: InferenceExecutionMode
pattern InferenceExecutionMode_Serial :: InferenceExecutionMode

Instances

Instances details

Eq InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods (==) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool # (/=) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #
Ord InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods compare :: InferenceExecutionMode -> InferenceExecutionMode -> Ordering # (<) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool # (<=) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool # (>) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool # (>=) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool # max :: InferenceExecutionMode -> InferenceExecutionMode -> InferenceExecutionMode # min :: InferenceExecutionMode -> InferenceExecutionMode -> InferenceExecutionMode #
Read InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods readsPrec :: Int -> ReadS InferenceExecutionMode # readList :: ReadS [InferenceExecutionMode] # readPrec :: ReadPrec InferenceExecutionMode # readListPrec :: ReadPrec [InferenceExecutionMode] #
Show InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods showsPrec :: Int -> InferenceExecutionMode -> ShowS # show :: InferenceExecutionMode -> String # showList :: [InferenceExecutionMode] -> ShowS #
Generic InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Associated Types type Rep InferenceExecutionMode :: Type -> Type # Methods from :: InferenceExecutionMode -> Rep InferenceExecutionMode x # to :: Rep InferenceExecutionMode x -> InferenceExecutionMode #
NFData InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods rnf :: InferenceExecutionMode -> () #
Hashable InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods hashWithSalt :: Int -> InferenceExecutionMode -> Int # hash :: InferenceExecutionMode -> Int #
ToJSON InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toJSON :: InferenceExecutionMode -> Value # toEncoding :: InferenceExecutionMode -> Encoding # toJSONList :: [InferenceExecutionMode] -> Value # toEncodingList :: [InferenceExecutionMode] -> Encoding #
ToJSONKey InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toJSONKey :: ToJSONKeyFunction InferenceExecutionMode # toJSONKeyList :: ToJSONKeyFunction [InferenceExecutionMode] #
FromJSON InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods parseJSON :: Value -> Parser InferenceExecutionMode # parseJSONList :: Value -> Parser [InferenceExecutionMode] #
FromJSONKey InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods fromJSONKey :: FromJSONKeyFunction InferenceExecutionMode # fromJSONKeyList :: FromJSONKeyFunction [InferenceExecutionMode] #
ToLog InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods build :: InferenceExecutionMode -> ByteStringBuilder #
ToHeader InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toHeader :: HeaderName -> InferenceExecutionMode -> [Header] #
ToQuery InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toQuery :: InferenceExecutionMode -> QueryString #
FromXML InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods parseXML :: [Node] -> Either String InferenceExecutionMode #
ToXML InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toXML :: InferenceExecutionMode -> XML #
ToByteString InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toBS :: InferenceExecutionMode -> ByteString #
FromText InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods fromText :: Text -> Either String InferenceExecutionMode #
ToText InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode Methods toText :: InferenceExecutionMode -> Text #
type Rep InferenceExecutionMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionMode type Rep InferenceExecutionMode = D1 ('MetaData "InferenceExecutionMode" "Amazonka.SageMaker.Types.InferenceExecutionMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "InferenceExecutionMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferenceExecutionMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InputMode

newtype InputMode Source #

Constructors

InputMode'
Fields fromInputMode :: Text

Bundled Patterns

pattern InputMode_File :: InputMode
pattern InputMode_Pipe :: InputMode

Instances

Instances details

Eq InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods (==) :: InputMode -> InputMode -> Bool # (/=) :: InputMode -> InputMode -> Bool #
Ord InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods compare :: InputMode -> InputMode -> Ordering # (<) :: InputMode -> InputMode -> Bool # (<=) :: InputMode -> InputMode -> Bool # (>) :: InputMode -> InputMode -> Bool # (>=) :: InputMode -> InputMode -> Bool # max :: InputMode -> InputMode -> InputMode # min :: InputMode -> InputMode -> InputMode #
Read InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods readsPrec :: Int -> ReadS InputMode # readList :: ReadS [InputMode] # readPrec :: ReadPrec InputMode # readListPrec :: ReadPrec [InputMode] #
Show InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods showsPrec :: Int -> InputMode -> ShowS # show :: InputMode -> String # showList :: [InputMode] -> ShowS #
Generic InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Associated Types type Rep InputMode :: Type -> Type # Methods from :: InputMode -> Rep InputMode x # to :: Rep InputMode x -> InputMode #
NFData InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods rnf :: InputMode -> () #
Hashable InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods hashWithSalt :: Int -> InputMode -> Int # hash :: InputMode -> Int #
ToJSON InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toJSON :: InputMode -> Value # toEncoding :: InputMode -> Encoding # toJSONList :: [InputMode] -> Value # toEncodingList :: [InputMode] -> Encoding #
ToJSONKey InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toJSONKey :: ToJSONKeyFunction InputMode # toJSONKeyList :: ToJSONKeyFunction [InputMode] #
FromJSON InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods parseJSON :: Value -> Parser InputMode # parseJSONList :: Value -> Parser [InputMode] #
FromJSONKey InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods fromJSONKey :: FromJSONKeyFunction InputMode # fromJSONKeyList :: FromJSONKeyFunction [InputMode] #
ToLog InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods build :: InputMode -> ByteStringBuilder #
ToHeader InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toHeader :: HeaderName -> InputMode -> [Header] #
ToQuery InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toQuery :: InputMode -> QueryString #
FromXML InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods parseXML :: [Node] -> Either String InputMode #
ToXML InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toXML :: InputMode -> XML #
ToByteString InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toBS :: InputMode -> ByteString #
FromText InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods fromText :: Text -> Either String InputMode #
ToText InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode Methods toText :: InputMode -> Text #
type Rep InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.InputMode type Rep InputMode = D1 ('MetaData "InputMode" "Amazonka.SageMaker.Types.InputMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "InputMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InstanceType

newtype InstanceType Source #

Constructors

InstanceType'
Fields fromInstanceType :: Text

Bundled Patterns

pattern InstanceType_Ml_c4_2xlarge :: InstanceType
pattern InstanceType_Ml_c4_4xlarge :: InstanceType
pattern InstanceType_Ml_c4_8xlarge :: InstanceType
pattern InstanceType_Ml_c4_xlarge :: InstanceType
pattern InstanceType_Ml_c5_18xlarge :: InstanceType
pattern InstanceType_Ml_c5_2xlarge :: InstanceType
pattern InstanceType_Ml_c5_4xlarge :: InstanceType
pattern InstanceType_Ml_c5_9xlarge :: InstanceType
pattern InstanceType_Ml_c5_xlarge :: InstanceType
pattern InstanceType_Ml_c5d_18xlarge :: InstanceType
pattern InstanceType_Ml_c5d_2xlarge :: InstanceType
pattern InstanceType_Ml_c5d_4xlarge :: InstanceType
pattern InstanceType_Ml_c5d_9xlarge :: InstanceType
pattern InstanceType_Ml_c5d_xlarge :: InstanceType
pattern InstanceType_Ml_g4dn_12xlarge :: InstanceType
pattern InstanceType_Ml_g4dn_16xlarge :: InstanceType
pattern InstanceType_Ml_g4dn_2xlarge :: InstanceType
pattern InstanceType_Ml_g4dn_4xlarge :: InstanceType
pattern InstanceType_Ml_g4dn_8xlarge :: InstanceType
pattern InstanceType_Ml_g4dn_xlarge :: InstanceType
pattern InstanceType_Ml_m4_10xlarge :: InstanceType
pattern InstanceType_Ml_m4_16xlarge :: InstanceType
pattern InstanceType_Ml_m4_2xlarge :: InstanceType
pattern InstanceType_Ml_m4_4xlarge :: InstanceType
pattern InstanceType_Ml_m4_xlarge :: InstanceType
pattern InstanceType_Ml_m5_12xlarge :: InstanceType
pattern InstanceType_Ml_m5_24xlarge :: InstanceType
pattern InstanceType_Ml_m5_2xlarge :: InstanceType
pattern InstanceType_Ml_m5_4xlarge :: InstanceType
pattern InstanceType_Ml_m5_xlarge :: InstanceType
pattern InstanceType_Ml_m5d_12xlarge :: InstanceType
pattern InstanceType_Ml_m5d_16xlarge :: InstanceType
pattern InstanceType_Ml_m5d_24xlarge :: InstanceType
pattern InstanceType_Ml_m5d_2xlarge :: InstanceType
pattern InstanceType_Ml_m5d_4xlarge :: InstanceType
pattern InstanceType_Ml_m5d_8xlarge :: InstanceType
pattern InstanceType_Ml_m5d_large :: InstanceType
pattern InstanceType_Ml_m5d_xlarge :: InstanceType
pattern InstanceType_Ml_p2_16xlarge :: InstanceType
pattern InstanceType_Ml_p2_8xlarge :: InstanceType
pattern InstanceType_Ml_p2_xlarge :: InstanceType
pattern InstanceType_Ml_p3_16xlarge :: InstanceType
pattern InstanceType_Ml_p3_2xlarge :: InstanceType
pattern InstanceType_Ml_p3_8xlarge :: InstanceType
pattern InstanceType_Ml_p3dn_24xlarge :: InstanceType
pattern InstanceType_Ml_r5_12xlarge :: InstanceType
pattern InstanceType_Ml_r5_16xlarge :: InstanceType
pattern InstanceType_Ml_r5_24xlarge :: InstanceType
pattern InstanceType_Ml_r5_2xlarge :: InstanceType
pattern InstanceType_Ml_r5_4xlarge :: InstanceType
pattern InstanceType_Ml_r5_8xlarge :: InstanceType
pattern InstanceType_Ml_r5_large :: InstanceType
pattern InstanceType_Ml_r5_xlarge :: InstanceType
pattern InstanceType_Ml_t2_2xlarge :: InstanceType
pattern InstanceType_Ml_t2_large :: InstanceType
pattern InstanceType_Ml_t2_medium :: InstanceType
pattern InstanceType_Ml_t2_xlarge :: InstanceType
pattern InstanceType_Ml_t3_2xlarge :: InstanceType
pattern InstanceType_Ml_t3_large :: InstanceType
pattern InstanceType_Ml_t3_medium :: InstanceType
pattern InstanceType_Ml_t3_xlarge :: InstanceType

Instances

Instances details

Eq InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods (==) :: InstanceType -> InstanceType -> Bool # (/=) :: InstanceType -> InstanceType -> Bool #
Ord InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods compare :: InstanceType -> InstanceType -> Ordering # (<) :: InstanceType -> InstanceType -> Bool # (<=) :: InstanceType -> InstanceType -> Bool # (>) :: InstanceType -> InstanceType -> Bool # (>=) :: InstanceType -> InstanceType -> Bool # max :: InstanceType -> InstanceType -> InstanceType # min :: InstanceType -> InstanceType -> InstanceType #
Read InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods readsPrec :: Int -> ReadS InstanceType # readList :: ReadS [InstanceType] # readPrec :: ReadPrec InstanceType # readListPrec :: ReadPrec [InstanceType] #
Show InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods showsPrec :: Int -> InstanceType -> ShowS # show :: InstanceType -> String # showList :: [InstanceType] -> ShowS #
Generic InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Associated Types type Rep InstanceType :: Type -> Type # Methods from :: InstanceType -> Rep InstanceType x # to :: Rep InstanceType x -> InstanceType #
NFData InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods rnf :: InstanceType -> () #
Hashable InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods hashWithSalt :: Int -> InstanceType -> Int # hash :: InstanceType -> Int #
ToJSON InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toJSON :: InstanceType -> Value # toEncoding :: InstanceType -> Encoding # toJSONList :: [InstanceType] -> Value # toEncodingList :: [InstanceType] -> Encoding #
ToJSONKey InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toJSONKey :: ToJSONKeyFunction InstanceType # toJSONKeyList :: ToJSONKeyFunction [InstanceType] #
FromJSON InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods parseJSON :: Value -> Parser InstanceType # parseJSONList :: Value -> Parser [InstanceType] #
FromJSONKey InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods fromJSONKey :: FromJSONKeyFunction InstanceType # fromJSONKeyList :: FromJSONKeyFunction [InstanceType] #
ToLog InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods build :: InstanceType -> ByteStringBuilder #
ToHeader InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toHeader :: HeaderName -> InstanceType -> [Header] #
ToQuery InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toQuery :: InstanceType -> QueryString #
FromXML InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods parseXML :: [Node] -> Either String InstanceType #
ToXML InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toXML :: InstanceType -> XML #
ToByteString InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toBS :: InstanceType -> ByteString #
FromText InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods fromText :: Text -> Either String InstanceType #
ToText InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType Methods toText :: InstanceType -> Text #
type Rep InstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.InstanceType type Rep InstanceType = D1 ('MetaData "InstanceType" "Amazonka.SageMaker.Types.InstanceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "InstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

JoinSource

newtype JoinSource Source #

Constructors

JoinSource'
Fields fromJoinSource :: Text

Bundled Patterns

pattern JoinSource_Input :: JoinSource
pattern JoinSource_None :: JoinSource

Instances

Instances details

Eq JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods (==) :: JoinSource -> JoinSource -> Bool # (/=) :: JoinSource -> JoinSource -> Bool #
Ord JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods compare :: JoinSource -> JoinSource -> Ordering # (<) :: JoinSource -> JoinSource -> Bool # (<=) :: JoinSource -> JoinSource -> Bool # (>) :: JoinSource -> JoinSource -> Bool # (>=) :: JoinSource -> JoinSource -> Bool # max :: JoinSource -> JoinSource -> JoinSource # min :: JoinSource -> JoinSource -> JoinSource #
Read JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods readsPrec :: Int -> ReadS JoinSource # readList :: ReadS [JoinSource] # readPrec :: ReadPrec JoinSource # readListPrec :: ReadPrec [JoinSource] #
Show JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods showsPrec :: Int -> JoinSource -> ShowS # show :: JoinSource -> String # showList :: [JoinSource] -> ShowS #
Generic JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Associated Types type Rep JoinSource :: Type -> Type # Methods from :: JoinSource -> Rep JoinSource x # to :: Rep JoinSource x -> JoinSource #
NFData JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods rnf :: JoinSource -> () #
Hashable JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods hashWithSalt :: Int -> JoinSource -> Int # hash :: JoinSource -> Int #
ToJSON JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toJSON :: JoinSource -> Value # toEncoding :: JoinSource -> Encoding # toJSONList :: [JoinSource] -> Value # toEncodingList :: [JoinSource] -> Encoding #
ToJSONKey JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toJSONKey :: ToJSONKeyFunction JoinSource # toJSONKeyList :: ToJSONKeyFunction [JoinSource] #
FromJSON JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods parseJSON :: Value -> Parser JoinSource # parseJSONList :: Value -> Parser [JoinSource] #
FromJSONKey JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods fromJSONKey :: FromJSONKeyFunction JoinSource # fromJSONKeyList :: FromJSONKeyFunction [JoinSource] #
ToLog JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods build :: JoinSource -> ByteStringBuilder #
ToHeader JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toHeader :: HeaderName -> JoinSource -> [Header] #
ToQuery JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toQuery :: JoinSource -> QueryString #
FromXML JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods parseXML :: [Node] -> Either String JoinSource #
ToXML JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toXML :: JoinSource -> XML #
ToByteString JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toBS :: JoinSource -> ByteString #
FromText JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods fromText :: Text -> Either String JoinSource #
ToText JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource Methods toText :: JoinSource -> Text #
type Rep JoinSource Source #
Instance details Defined in Amazonka.SageMaker.Types.JoinSource type Rep JoinSource = D1 ('MetaData "JoinSource" "Amazonka.SageMaker.Types.JoinSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "JoinSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromJoinSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelingJobStatus

newtype LabelingJobStatus Source #

Constructors

LabelingJobStatus'
Fields fromLabelingJobStatus :: Text

Bundled Patterns

pattern LabelingJobStatus_Completed :: LabelingJobStatus
pattern LabelingJobStatus_Failed :: LabelingJobStatus
pattern LabelingJobStatus_InProgress :: LabelingJobStatus
pattern LabelingJobStatus_Initializing :: LabelingJobStatus
pattern LabelingJobStatus_Stopped :: LabelingJobStatus
pattern LabelingJobStatus_Stopping :: LabelingJobStatus

Instances

Instances details

Eq LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods (==) :: LabelingJobStatus -> LabelingJobStatus -> Bool # (/=) :: LabelingJobStatus -> LabelingJobStatus -> Bool #
Ord LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods compare :: LabelingJobStatus -> LabelingJobStatus -> Ordering # (<) :: LabelingJobStatus -> LabelingJobStatus -> Bool # (<=) :: LabelingJobStatus -> LabelingJobStatus -> Bool # (>) :: LabelingJobStatus -> LabelingJobStatus -> Bool # (>=) :: LabelingJobStatus -> LabelingJobStatus -> Bool # max :: LabelingJobStatus -> LabelingJobStatus -> LabelingJobStatus # min :: LabelingJobStatus -> LabelingJobStatus -> LabelingJobStatus #
Read LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods readsPrec :: Int -> ReadS LabelingJobStatus # readList :: ReadS [LabelingJobStatus] # readPrec :: ReadPrec LabelingJobStatus # readListPrec :: ReadPrec [LabelingJobStatus] #
Show LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods showsPrec :: Int -> LabelingJobStatus -> ShowS # show :: LabelingJobStatus -> String # showList :: [LabelingJobStatus] -> ShowS #
Generic LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Associated Types type Rep LabelingJobStatus :: Type -> Type # Methods from :: LabelingJobStatus -> Rep LabelingJobStatus x # to :: Rep LabelingJobStatus x -> LabelingJobStatus #
NFData LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods rnf :: LabelingJobStatus -> () #
Hashable LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods hashWithSalt :: Int -> LabelingJobStatus -> Int # hash :: LabelingJobStatus -> Int #
ToJSON LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toJSON :: LabelingJobStatus -> Value # toEncoding :: LabelingJobStatus -> Encoding # toJSONList :: [LabelingJobStatus] -> Value # toEncodingList :: [LabelingJobStatus] -> Encoding #
ToJSONKey LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toJSONKey :: ToJSONKeyFunction LabelingJobStatus # toJSONKeyList :: ToJSONKeyFunction [LabelingJobStatus] #
FromJSON LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods parseJSON :: Value -> Parser LabelingJobStatus # parseJSONList :: Value -> Parser [LabelingJobStatus] #
FromJSONKey LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods fromJSONKey :: FromJSONKeyFunction LabelingJobStatus # fromJSONKeyList :: FromJSONKeyFunction [LabelingJobStatus] #
ToLog LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods build :: LabelingJobStatus -> ByteStringBuilder #
ToHeader LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toHeader :: HeaderName -> LabelingJobStatus -> [Header] #
ToQuery LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toQuery :: LabelingJobStatus -> QueryString #
FromXML LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods parseXML :: [Node] -> Either String LabelingJobStatus #
ToXML LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toXML :: LabelingJobStatus -> XML #
ToByteString LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toBS :: LabelingJobStatus -> ByteString #
FromText LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods fromText :: Text -> Either String LabelingJobStatus #
ToText LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus Methods toText :: LabelingJobStatus -> Text #
type Rep LabelingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStatus type Rep LabelingJobStatus = D1 ('MetaData "LabelingJobStatus" "Amazonka.SageMaker.Types.LabelingJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "LabelingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListCompilationJobsSortBy

newtype ListCompilationJobsSortBy Source #

Constructors

ListCompilationJobsSortBy'
Fields fromListCompilationJobsSortBy :: Text

Bundled Patterns

pattern ListCompilationJobsSortBy_CreationTime :: ListCompilationJobsSortBy
pattern ListCompilationJobsSortBy_Name :: ListCompilationJobsSortBy
pattern ListCompilationJobsSortBy_Status :: ListCompilationJobsSortBy

Instances

Instances details

Eq ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods (==) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool # (/=) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #
Ord ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods compare :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Ordering # (<) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool # (<=) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool # (>) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool # (>=) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool # max :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> ListCompilationJobsSortBy # min :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> ListCompilationJobsSortBy #
Read ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods readsPrec :: Int -> ReadS ListCompilationJobsSortBy # readList :: ReadS [ListCompilationJobsSortBy] # readPrec :: ReadPrec ListCompilationJobsSortBy # readListPrec :: ReadPrec [ListCompilationJobsSortBy] #
Show ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods showsPrec :: Int -> ListCompilationJobsSortBy -> ShowS # show :: ListCompilationJobsSortBy -> String # showList :: [ListCompilationJobsSortBy] -> ShowS #
Generic ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Associated Types type Rep ListCompilationJobsSortBy :: Type -> Type # Methods from :: ListCompilationJobsSortBy -> Rep ListCompilationJobsSortBy x # to :: Rep ListCompilationJobsSortBy x -> ListCompilationJobsSortBy #
NFData ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods rnf :: ListCompilationJobsSortBy -> () #
Hashable ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods hashWithSalt :: Int -> ListCompilationJobsSortBy -> Int # hash :: ListCompilationJobsSortBy -> Int #
ToJSON ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toJSON :: ListCompilationJobsSortBy -> Value # toEncoding :: ListCompilationJobsSortBy -> Encoding # toJSONList :: [ListCompilationJobsSortBy] -> Value # toEncodingList :: [ListCompilationJobsSortBy] -> Encoding #
ToJSONKey ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toJSONKey :: ToJSONKeyFunction ListCompilationJobsSortBy # toJSONKeyList :: ToJSONKeyFunction [ListCompilationJobsSortBy] #
FromJSON ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods parseJSON :: Value -> Parser ListCompilationJobsSortBy # parseJSONList :: Value -> Parser [ListCompilationJobsSortBy] #
FromJSONKey ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods fromJSONKey :: FromJSONKeyFunction ListCompilationJobsSortBy # fromJSONKeyList :: FromJSONKeyFunction [ListCompilationJobsSortBy] #
ToLog ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods build :: ListCompilationJobsSortBy -> ByteStringBuilder #
ToHeader ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toHeader :: HeaderName -> ListCompilationJobsSortBy -> [Header] #
ToQuery ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toQuery :: ListCompilationJobsSortBy -> QueryString #
FromXML ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods parseXML :: [Node] -> Either String ListCompilationJobsSortBy #
ToXML ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toXML :: ListCompilationJobsSortBy -> XML #
ToByteString ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toBS :: ListCompilationJobsSortBy -> ByteString #
FromText ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods fromText :: Text -> Either String ListCompilationJobsSortBy #
ToText ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy Methods toText :: ListCompilationJobsSortBy -> Text #
type Rep ListCompilationJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy type Rep ListCompilationJobsSortBy = D1 ('MetaData "ListCompilationJobsSortBy" "Amazonka.SageMaker.Types.ListCompilationJobsSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ListCompilationJobsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListCompilationJobsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListDeviceFleetsSortBy

newtype ListDeviceFleetsSortBy Source #

Constructors

ListDeviceFleetsSortBy'
Fields fromListDeviceFleetsSortBy :: Text

Bundled Patterns

pattern ListDeviceFleetsSortBy_CREATION_TIME :: ListDeviceFleetsSortBy
pattern ListDeviceFleetsSortBy_LAST_MODIFIED_TIME :: ListDeviceFleetsSortBy
pattern ListDeviceFleetsSortBy_NAME :: ListDeviceFleetsSortBy

Instances

Instances details

Eq ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods (==) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool # (/=) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #
Ord ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods compare :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Ordering # (<) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool # (<=) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool # (>) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool # (>=) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool # max :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy # min :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy #
Read ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods readsPrec :: Int -> ReadS ListDeviceFleetsSortBy # readList :: ReadS [ListDeviceFleetsSortBy] # readPrec :: ReadPrec ListDeviceFleetsSortBy # readListPrec :: ReadPrec [ListDeviceFleetsSortBy] #
Show ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods showsPrec :: Int -> ListDeviceFleetsSortBy -> ShowS # show :: ListDeviceFleetsSortBy -> String # showList :: [ListDeviceFleetsSortBy] -> ShowS #
Generic ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Associated Types type Rep ListDeviceFleetsSortBy :: Type -> Type # Methods from :: ListDeviceFleetsSortBy -> Rep ListDeviceFleetsSortBy x # to :: Rep ListDeviceFleetsSortBy x -> ListDeviceFleetsSortBy #
NFData ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods rnf :: ListDeviceFleetsSortBy -> () #
Hashable ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods hashWithSalt :: Int -> ListDeviceFleetsSortBy -> Int # hash :: ListDeviceFleetsSortBy -> Int #
ToJSON ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toJSON :: ListDeviceFleetsSortBy -> Value # toEncoding :: ListDeviceFleetsSortBy -> Encoding # toJSONList :: [ListDeviceFleetsSortBy] -> Value # toEncodingList :: [ListDeviceFleetsSortBy] -> Encoding #
ToJSONKey ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toJSONKey :: ToJSONKeyFunction ListDeviceFleetsSortBy # toJSONKeyList :: ToJSONKeyFunction [ListDeviceFleetsSortBy] #
FromJSON ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods parseJSON :: Value -> Parser ListDeviceFleetsSortBy # parseJSONList :: Value -> Parser [ListDeviceFleetsSortBy] #
FromJSONKey ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods fromJSONKey :: FromJSONKeyFunction ListDeviceFleetsSortBy # fromJSONKeyList :: FromJSONKeyFunction [ListDeviceFleetsSortBy] #
ToLog ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods build :: ListDeviceFleetsSortBy -> ByteStringBuilder #
ToHeader ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toHeader :: HeaderName -> ListDeviceFleetsSortBy -> [Header] #
ToQuery ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toQuery :: ListDeviceFleetsSortBy -> QueryString #
FromXML ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods parseXML :: [Node] -> Either String ListDeviceFleetsSortBy #
ToXML ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toXML :: ListDeviceFleetsSortBy -> XML #
ToByteString ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toBS :: ListDeviceFleetsSortBy -> ByteString #
FromText ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods fromText :: Text -> Either String ListDeviceFleetsSortBy #
ToText ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy Methods toText :: ListDeviceFleetsSortBy -> Text #
type Rep ListDeviceFleetsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy type Rep ListDeviceFleetsSortBy = D1 ('MetaData "ListDeviceFleetsSortBy" "Amazonka.SageMaker.Types.ListDeviceFleetsSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ListDeviceFleetsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListDeviceFleetsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListEdgePackagingJobsSortBy

newtype ListEdgePackagingJobsSortBy Source #

Constructors

ListEdgePackagingJobsSortBy'
Fields fromListEdgePackagingJobsSortBy :: Text

Bundled Patterns

pattern ListEdgePackagingJobsSortBy_CREATION_TIME :: ListEdgePackagingJobsSortBy
pattern ListEdgePackagingJobsSortBy_LAST_MODIFIED_TIME :: ListEdgePackagingJobsSortBy
pattern ListEdgePackagingJobsSortBy_MODEL_NAME :: ListEdgePackagingJobsSortBy
pattern ListEdgePackagingJobsSortBy_NAME :: ListEdgePackagingJobsSortBy
pattern ListEdgePackagingJobsSortBy_STATUS :: ListEdgePackagingJobsSortBy

Instances

Instances details

Eq ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods (==) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool # (/=) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #
Ord ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods compare :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Ordering # (<) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool # (<=) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool # (>) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool # (>=) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool # max :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy # min :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy #
Read ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods readsPrec :: Int -> ReadS ListEdgePackagingJobsSortBy # readList :: ReadS [ListEdgePackagingJobsSortBy] # readPrec :: ReadPrec ListEdgePackagingJobsSortBy # readListPrec :: ReadPrec [ListEdgePackagingJobsSortBy] #
Show ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods showsPrec :: Int -> ListEdgePackagingJobsSortBy -> ShowS # show :: ListEdgePackagingJobsSortBy -> String # showList :: [ListEdgePackagingJobsSortBy] -> ShowS #
Generic ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Associated Types type Rep ListEdgePackagingJobsSortBy :: Type -> Type # Methods from :: ListEdgePackagingJobsSortBy -> Rep ListEdgePackagingJobsSortBy x # to :: Rep ListEdgePackagingJobsSortBy x -> ListEdgePackagingJobsSortBy #
NFData ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods rnf :: ListEdgePackagingJobsSortBy -> () #
Hashable ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods hashWithSalt :: Int -> ListEdgePackagingJobsSortBy -> Int # hash :: ListEdgePackagingJobsSortBy -> Int #
ToJSON ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toJSON :: ListEdgePackagingJobsSortBy -> Value # toEncoding :: ListEdgePackagingJobsSortBy -> Encoding # toJSONList :: [ListEdgePackagingJobsSortBy] -> Value # toEncodingList :: [ListEdgePackagingJobsSortBy] -> Encoding #
ToJSONKey ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toJSONKey :: ToJSONKeyFunction ListEdgePackagingJobsSortBy # toJSONKeyList :: ToJSONKeyFunction [ListEdgePackagingJobsSortBy] #
FromJSON ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods parseJSON :: Value -> Parser ListEdgePackagingJobsSortBy # parseJSONList :: Value -> Parser [ListEdgePackagingJobsSortBy] #
FromJSONKey ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods fromJSONKey :: FromJSONKeyFunction ListEdgePackagingJobsSortBy # fromJSONKeyList :: FromJSONKeyFunction [ListEdgePackagingJobsSortBy] #
ToLog ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods build :: ListEdgePackagingJobsSortBy -> ByteStringBuilder #
ToHeader ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toHeader :: HeaderName -> ListEdgePackagingJobsSortBy -> [Header] #
ToQuery ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toQuery :: ListEdgePackagingJobsSortBy -> QueryString #
FromXML ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods parseXML :: [Node] -> Either String ListEdgePackagingJobsSortBy #
ToXML ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toXML :: ListEdgePackagingJobsSortBy -> XML #
ToByteString ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toBS :: ListEdgePackagingJobsSortBy -> ByteString #
FromText ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods fromText :: Text -> Either String ListEdgePackagingJobsSortBy #
ToText ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy Methods toText :: ListEdgePackagingJobsSortBy -> Text #
type Rep ListEdgePackagingJobsSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy type Rep ListEdgePackagingJobsSortBy = D1 ('MetaData "ListEdgePackagingJobsSortBy" "Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ListEdgePackagingJobsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListEdgePackagingJobsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListLabelingJobsForWorkteamSortByOptions

newtype ListLabelingJobsForWorkteamSortByOptions Source #

Constructors

ListLabelingJobsForWorkteamSortByOptions'
Fields fromListLabelingJobsForWorkteamSortByOptions :: Text

Bundled Patterns

pattern ListLabelingJobsForWorkteamSortByOptions_CreationTime :: ListLabelingJobsForWorkteamSortByOptions

Instances

Instances details

Eq ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods (==) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool # (/=) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #
Ord ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods compare :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Ordering # (<) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool # (<=) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool # (>) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool # (>=) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool # max :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions # min :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions #
Read ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods readsPrec :: Int -> ReadS ListLabelingJobsForWorkteamSortByOptions # readList :: ReadS [ListLabelingJobsForWorkteamSortByOptions] # readPrec :: ReadPrec ListLabelingJobsForWorkteamSortByOptions # readListPrec :: ReadPrec [ListLabelingJobsForWorkteamSortByOptions] #
Show ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods showsPrec :: Int -> ListLabelingJobsForWorkteamSortByOptions -> ShowS # show :: ListLabelingJobsForWorkteamSortByOptions -> String # showList :: [ListLabelingJobsForWorkteamSortByOptions] -> ShowS #
Generic ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Associated Types type Rep ListLabelingJobsForWorkteamSortByOptions :: Type -> Type # Methods from :: ListLabelingJobsForWorkteamSortByOptions -> Rep ListLabelingJobsForWorkteamSortByOptions x # to :: Rep ListLabelingJobsForWorkteamSortByOptions x -> ListLabelingJobsForWorkteamSortByOptions #
NFData ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods rnf :: ListLabelingJobsForWorkteamSortByOptions -> () #
Hashable ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods hashWithSalt :: Int -> ListLabelingJobsForWorkteamSortByOptions -> Int # hash :: ListLabelingJobsForWorkteamSortByOptions -> Int #
ToJSON ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toJSON :: ListLabelingJobsForWorkteamSortByOptions -> Value # toEncoding :: ListLabelingJobsForWorkteamSortByOptions -> Encoding # toJSONList :: [ListLabelingJobsForWorkteamSortByOptions] -> Value # toEncodingList :: [ListLabelingJobsForWorkteamSortByOptions] -> Encoding #
ToJSONKey ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toJSONKey :: ToJSONKeyFunction ListLabelingJobsForWorkteamSortByOptions # toJSONKeyList :: ToJSONKeyFunction [ListLabelingJobsForWorkteamSortByOptions] #
FromJSON ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods parseJSON :: Value -> Parser ListLabelingJobsForWorkteamSortByOptions # parseJSONList :: Value -> Parser [ListLabelingJobsForWorkteamSortByOptions] #
FromJSONKey ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods fromJSONKey :: FromJSONKeyFunction ListLabelingJobsForWorkteamSortByOptions # fromJSONKeyList :: FromJSONKeyFunction [ListLabelingJobsForWorkteamSortByOptions] #
ToLog ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods build :: ListLabelingJobsForWorkteamSortByOptions -> ByteStringBuilder #
ToHeader ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toHeader :: HeaderName -> ListLabelingJobsForWorkteamSortByOptions -> [Header] #
ToQuery ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toQuery :: ListLabelingJobsForWorkteamSortByOptions -> QueryString #
FromXML ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods parseXML :: [Node] -> Either String ListLabelingJobsForWorkteamSortByOptions #
ToXML ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toXML :: ListLabelingJobsForWorkteamSortByOptions -> XML #
ToByteString ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toBS :: ListLabelingJobsForWorkteamSortByOptions -> ByteString #
FromText ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods fromText :: Text -> Either String ListLabelingJobsForWorkteamSortByOptions #
ToText ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions Methods toText :: ListLabelingJobsForWorkteamSortByOptions -> Text #
type Rep ListLabelingJobsForWorkteamSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions type Rep ListLabelingJobsForWorkteamSortByOptions = D1 ('MetaData "ListLabelingJobsForWorkteamSortByOptions" "Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ListLabelingJobsForWorkteamSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListLabelingJobsForWorkteamSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListWorkforcesSortByOptions

newtype ListWorkforcesSortByOptions Source #

Constructors

ListWorkforcesSortByOptions'
Fields fromListWorkforcesSortByOptions :: Text

Bundled Patterns

pattern ListWorkforcesSortByOptions_CreateDate :: ListWorkforcesSortByOptions
pattern ListWorkforcesSortByOptions_Name :: ListWorkforcesSortByOptions

Instances

Instances details

Eq ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods (==) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool # (/=) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #
Ord ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods compare :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Ordering # (<) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool # (<=) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool # (>) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool # (>=) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool # max :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions # min :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions #
Read ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods readsPrec :: Int -> ReadS ListWorkforcesSortByOptions # readList :: ReadS [ListWorkforcesSortByOptions] # readPrec :: ReadPrec ListWorkforcesSortByOptions # readListPrec :: ReadPrec [ListWorkforcesSortByOptions] #
Show ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods showsPrec :: Int -> ListWorkforcesSortByOptions -> ShowS # show :: ListWorkforcesSortByOptions -> String # showList :: [ListWorkforcesSortByOptions] -> ShowS #
Generic ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Associated Types type Rep ListWorkforcesSortByOptions :: Type -> Type # Methods from :: ListWorkforcesSortByOptions -> Rep ListWorkforcesSortByOptions x # to :: Rep ListWorkforcesSortByOptions x -> ListWorkforcesSortByOptions #
NFData ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods rnf :: ListWorkforcesSortByOptions -> () #
Hashable ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods hashWithSalt :: Int -> ListWorkforcesSortByOptions -> Int # hash :: ListWorkforcesSortByOptions -> Int #
ToJSON ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toJSON :: ListWorkforcesSortByOptions -> Value # toEncoding :: ListWorkforcesSortByOptions -> Encoding # toJSONList :: [ListWorkforcesSortByOptions] -> Value # toEncodingList :: [ListWorkforcesSortByOptions] -> Encoding #
ToJSONKey ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toJSONKey :: ToJSONKeyFunction ListWorkforcesSortByOptions # toJSONKeyList :: ToJSONKeyFunction [ListWorkforcesSortByOptions] #
FromJSON ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods parseJSON :: Value -> Parser ListWorkforcesSortByOptions # parseJSONList :: Value -> Parser [ListWorkforcesSortByOptions] #
FromJSONKey ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods fromJSONKey :: FromJSONKeyFunction ListWorkforcesSortByOptions # fromJSONKeyList :: FromJSONKeyFunction [ListWorkforcesSortByOptions] #
ToLog ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods build :: ListWorkforcesSortByOptions -> ByteStringBuilder #
ToHeader ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toHeader :: HeaderName -> ListWorkforcesSortByOptions -> [Header] #
ToQuery ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toQuery :: ListWorkforcesSortByOptions -> QueryString #
FromXML ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods parseXML :: [Node] -> Either String ListWorkforcesSortByOptions #
ToXML ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toXML :: ListWorkforcesSortByOptions -> XML #
ToByteString ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toBS :: ListWorkforcesSortByOptions -> ByteString #
FromText ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods fromText :: Text -> Either String ListWorkforcesSortByOptions #
ToText ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions Methods toText :: ListWorkforcesSortByOptions -> Text #
type Rep ListWorkforcesSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions type Rep ListWorkforcesSortByOptions = D1 ('MetaData "ListWorkforcesSortByOptions" "Amazonka.SageMaker.Types.ListWorkforcesSortByOptions" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ListWorkforcesSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListWorkforcesSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListWorkteamsSortByOptions

newtype ListWorkteamsSortByOptions Source #

Constructors

ListWorkteamsSortByOptions'
Fields fromListWorkteamsSortByOptions :: Text

Bundled Patterns

pattern ListWorkteamsSortByOptions_CreateDate :: ListWorkteamsSortByOptions
pattern ListWorkteamsSortByOptions_Name :: ListWorkteamsSortByOptions

Instances

Instances details

Eq ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods (==) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool # (/=) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #
Ord ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods compare :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Ordering # (<) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool # (<=) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool # (>) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool # (>=) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool # max :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions # min :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions #
Read ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods readsPrec :: Int -> ReadS ListWorkteamsSortByOptions # readList :: ReadS [ListWorkteamsSortByOptions] # readPrec :: ReadPrec ListWorkteamsSortByOptions # readListPrec :: ReadPrec [ListWorkteamsSortByOptions] #
Show ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods showsPrec :: Int -> ListWorkteamsSortByOptions -> ShowS # show :: ListWorkteamsSortByOptions -> String # showList :: [ListWorkteamsSortByOptions] -> ShowS #
Generic ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Associated Types type Rep ListWorkteamsSortByOptions :: Type -> Type # Methods from :: ListWorkteamsSortByOptions -> Rep ListWorkteamsSortByOptions x # to :: Rep ListWorkteamsSortByOptions x -> ListWorkteamsSortByOptions #
NFData ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods rnf :: ListWorkteamsSortByOptions -> () #
Hashable ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods hashWithSalt :: Int -> ListWorkteamsSortByOptions -> Int # hash :: ListWorkteamsSortByOptions -> Int #
ToJSON ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toJSON :: ListWorkteamsSortByOptions -> Value # toEncoding :: ListWorkteamsSortByOptions -> Encoding # toJSONList :: [ListWorkteamsSortByOptions] -> Value # toEncodingList :: [ListWorkteamsSortByOptions] -> Encoding #
ToJSONKey ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toJSONKey :: ToJSONKeyFunction ListWorkteamsSortByOptions # toJSONKeyList :: ToJSONKeyFunction [ListWorkteamsSortByOptions] #
FromJSON ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods parseJSON :: Value -> Parser ListWorkteamsSortByOptions # parseJSONList :: Value -> Parser [ListWorkteamsSortByOptions] #
FromJSONKey ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods fromJSONKey :: FromJSONKeyFunction ListWorkteamsSortByOptions # fromJSONKeyList :: FromJSONKeyFunction [ListWorkteamsSortByOptions] #
ToLog ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods build :: ListWorkteamsSortByOptions -> ByteStringBuilder #
ToHeader ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toHeader :: HeaderName -> ListWorkteamsSortByOptions -> [Header] #
ToQuery ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toQuery :: ListWorkteamsSortByOptions -> QueryString #
FromXML ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods parseXML :: [Node] -> Either String ListWorkteamsSortByOptions #
ToXML ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toXML :: ListWorkteamsSortByOptions -> XML #
ToByteString ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toBS :: ListWorkteamsSortByOptions -> ByteString #
FromText ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods fromText :: Text -> Either String ListWorkteamsSortByOptions #
ToText ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions Methods toText :: ListWorkteamsSortByOptions -> Text #
type Rep ListWorkteamsSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions type Rep ListWorkteamsSortByOptions = D1 ('MetaData "ListWorkteamsSortByOptions" "Amazonka.SageMaker.Types.ListWorkteamsSortByOptions" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ListWorkteamsSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListWorkteamsSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MetricSetSource

newtype MetricSetSource Source #

Constructors

MetricSetSource'
Fields fromMetricSetSource :: Text

Bundled Patterns

pattern MetricSetSource_Test :: MetricSetSource
pattern MetricSetSource_Train :: MetricSetSource
pattern MetricSetSource_Validation :: MetricSetSource

Instances

Instances details

Eq MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods (==) :: MetricSetSource -> MetricSetSource -> Bool # (/=) :: MetricSetSource -> MetricSetSource -> Bool #
Ord MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods compare :: MetricSetSource -> MetricSetSource -> Ordering # (<) :: MetricSetSource -> MetricSetSource -> Bool # (<=) :: MetricSetSource -> MetricSetSource -> Bool # (>) :: MetricSetSource -> MetricSetSource -> Bool # (>=) :: MetricSetSource -> MetricSetSource -> Bool # max :: MetricSetSource -> MetricSetSource -> MetricSetSource # min :: MetricSetSource -> MetricSetSource -> MetricSetSource #
Read MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods readsPrec :: Int -> ReadS MetricSetSource # readList :: ReadS [MetricSetSource] # readPrec :: ReadPrec MetricSetSource # readListPrec :: ReadPrec [MetricSetSource] #
Show MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods showsPrec :: Int -> MetricSetSource -> ShowS # show :: MetricSetSource -> String # showList :: [MetricSetSource] -> ShowS #
Generic MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Associated Types type Rep MetricSetSource :: Type -> Type # Methods from :: MetricSetSource -> Rep MetricSetSource x # to :: Rep MetricSetSource x -> MetricSetSource #
NFData MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods rnf :: MetricSetSource -> () #
Hashable MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods hashWithSalt :: Int -> MetricSetSource -> Int # hash :: MetricSetSource -> Int #
ToJSON MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toJSON :: MetricSetSource -> Value # toEncoding :: MetricSetSource -> Encoding # toJSONList :: [MetricSetSource] -> Value # toEncodingList :: [MetricSetSource] -> Encoding #
ToJSONKey MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toJSONKey :: ToJSONKeyFunction MetricSetSource # toJSONKeyList :: ToJSONKeyFunction [MetricSetSource] #
FromJSON MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods parseJSON :: Value -> Parser MetricSetSource # parseJSONList :: Value -> Parser [MetricSetSource] #
FromJSONKey MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods fromJSONKey :: FromJSONKeyFunction MetricSetSource # fromJSONKeyList :: FromJSONKeyFunction [MetricSetSource] #
ToLog MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods build :: MetricSetSource -> ByteStringBuilder #
ToHeader MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toHeader :: HeaderName -> MetricSetSource -> [Header] #
ToQuery MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toQuery :: MetricSetSource -> QueryString #
FromXML MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods parseXML :: [Node] -> Either String MetricSetSource #
ToXML MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toXML :: MetricSetSource -> XML #
ToByteString MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toBS :: MetricSetSource -> ByteString #
FromText MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods fromText :: Text -> Either String MetricSetSource #
ToText MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource Methods toText :: MetricSetSource -> Text #
type Rep MetricSetSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricSetSource type Rep MetricSetSource = D1 ('MetaData "MetricSetSource" "Amazonka.SageMaker.Types.MetricSetSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "MetricSetSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMetricSetSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelApprovalStatus

newtype ModelApprovalStatus Source #

Constructors

ModelApprovalStatus'
Fields fromModelApprovalStatus :: Text

Bundled Patterns

pattern ModelApprovalStatus_Approved :: ModelApprovalStatus
pattern ModelApprovalStatus_PendingManualApproval :: ModelApprovalStatus
pattern ModelApprovalStatus_Rejected :: ModelApprovalStatus

Instances

Instances details

Eq ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods (==) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool # (/=) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #
Ord ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods compare :: ModelApprovalStatus -> ModelApprovalStatus -> Ordering # (<) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool # (<=) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool # (>) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool # (>=) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool # max :: ModelApprovalStatus -> ModelApprovalStatus -> ModelApprovalStatus # min :: ModelApprovalStatus -> ModelApprovalStatus -> ModelApprovalStatus #
Read ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods readsPrec :: Int -> ReadS ModelApprovalStatus # readList :: ReadS [ModelApprovalStatus] # readPrec :: ReadPrec ModelApprovalStatus # readListPrec :: ReadPrec [ModelApprovalStatus] #
Show ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods showsPrec :: Int -> ModelApprovalStatus -> ShowS # show :: ModelApprovalStatus -> String # showList :: [ModelApprovalStatus] -> ShowS #
Generic ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Associated Types type Rep ModelApprovalStatus :: Type -> Type # Methods from :: ModelApprovalStatus -> Rep ModelApprovalStatus x # to :: Rep ModelApprovalStatus x -> ModelApprovalStatus #
NFData ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods rnf :: ModelApprovalStatus -> () #
Hashable ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods hashWithSalt :: Int -> ModelApprovalStatus -> Int # hash :: ModelApprovalStatus -> Int #
ToJSON ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toJSON :: ModelApprovalStatus -> Value # toEncoding :: ModelApprovalStatus -> Encoding # toJSONList :: [ModelApprovalStatus] -> Value # toEncodingList :: [ModelApprovalStatus] -> Encoding #
ToJSONKey ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toJSONKey :: ToJSONKeyFunction ModelApprovalStatus # toJSONKeyList :: ToJSONKeyFunction [ModelApprovalStatus] #
FromJSON ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods parseJSON :: Value -> Parser ModelApprovalStatus # parseJSONList :: Value -> Parser [ModelApprovalStatus] #
FromJSONKey ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods fromJSONKey :: FromJSONKeyFunction ModelApprovalStatus # fromJSONKeyList :: FromJSONKeyFunction [ModelApprovalStatus] #
ToLog ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods build :: ModelApprovalStatus -> ByteStringBuilder #
ToHeader ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toHeader :: HeaderName -> ModelApprovalStatus -> [Header] #
ToQuery ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toQuery :: ModelApprovalStatus -> QueryString #
FromXML ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods parseXML :: [Node] -> Either String ModelApprovalStatus #
ToXML ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toXML :: ModelApprovalStatus -> XML #
ToByteString ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toBS :: ModelApprovalStatus -> ByteString #
FromText ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods fromText :: Text -> Either String ModelApprovalStatus #
ToText ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus Methods toText :: ModelApprovalStatus -> Text #
type Rep ModelApprovalStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelApprovalStatus type Rep ModelApprovalStatus = D1 ('MetaData "ModelApprovalStatus" "Amazonka.SageMaker.Types.ModelApprovalStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelApprovalStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCacheSetting

newtype ModelCacheSetting Source #

Constructors

ModelCacheSetting'
Fields fromModelCacheSetting :: Text

Bundled Patterns

pattern ModelCacheSetting_Disabled :: ModelCacheSetting
pattern ModelCacheSetting_Enabled :: ModelCacheSetting

Instances

Instances details

Eq ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods (==) :: ModelCacheSetting -> ModelCacheSetting -> Bool # (/=) :: ModelCacheSetting -> ModelCacheSetting -> Bool #
Ord ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods compare :: ModelCacheSetting -> ModelCacheSetting -> Ordering # (<) :: ModelCacheSetting -> ModelCacheSetting -> Bool # (<=) :: ModelCacheSetting -> ModelCacheSetting -> Bool # (>) :: ModelCacheSetting -> ModelCacheSetting -> Bool # (>=) :: ModelCacheSetting -> ModelCacheSetting -> Bool # max :: ModelCacheSetting -> ModelCacheSetting -> ModelCacheSetting # min :: ModelCacheSetting -> ModelCacheSetting -> ModelCacheSetting #
Read ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods readsPrec :: Int -> ReadS ModelCacheSetting # readList :: ReadS [ModelCacheSetting] # readPrec :: ReadPrec ModelCacheSetting # readListPrec :: ReadPrec [ModelCacheSetting] #
Show ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods showsPrec :: Int -> ModelCacheSetting -> ShowS # show :: ModelCacheSetting -> String # showList :: [ModelCacheSetting] -> ShowS #
Generic ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Associated Types type Rep ModelCacheSetting :: Type -> Type # Methods from :: ModelCacheSetting -> Rep ModelCacheSetting x # to :: Rep ModelCacheSetting x -> ModelCacheSetting #
NFData ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods rnf :: ModelCacheSetting -> () #
Hashable ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods hashWithSalt :: Int -> ModelCacheSetting -> Int # hash :: ModelCacheSetting -> Int #
ToJSON ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toJSON :: ModelCacheSetting -> Value # toEncoding :: ModelCacheSetting -> Encoding # toJSONList :: [ModelCacheSetting] -> Value # toEncodingList :: [ModelCacheSetting] -> Encoding #
ToJSONKey ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toJSONKey :: ToJSONKeyFunction ModelCacheSetting # toJSONKeyList :: ToJSONKeyFunction [ModelCacheSetting] #
FromJSON ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods parseJSON :: Value -> Parser ModelCacheSetting # parseJSONList :: Value -> Parser [ModelCacheSetting] #
FromJSONKey ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods fromJSONKey :: FromJSONKeyFunction ModelCacheSetting # fromJSONKeyList :: FromJSONKeyFunction [ModelCacheSetting] #
ToLog ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods build :: ModelCacheSetting -> ByteStringBuilder #
ToHeader ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toHeader :: HeaderName -> ModelCacheSetting -> [Header] #
ToQuery ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toQuery :: ModelCacheSetting -> QueryString #
FromXML ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods parseXML :: [Node] -> Either String ModelCacheSetting #
ToXML ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toXML :: ModelCacheSetting -> XML #
ToByteString ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toBS :: ModelCacheSetting -> ByteString #
FromText ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods fromText :: Text -> Either String ModelCacheSetting #
ToText ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting Methods toText :: ModelCacheSetting -> Text #
type Rep ModelCacheSetting Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelCacheSetting type Rep ModelCacheSetting = D1 ('MetaData "ModelCacheSetting" "Amazonka.SageMaker.Types.ModelCacheSetting" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelCacheSetting'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCacheSetting") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageGroupSortBy

newtype ModelPackageGroupSortBy Source #

Constructors

ModelPackageGroupSortBy'
Fields fromModelPackageGroupSortBy :: Text

Bundled Patterns

pattern ModelPackageGroupSortBy_CreationTime :: ModelPackageGroupSortBy
pattern ModelPackageGroupSortBy_Name :: ModelPackageGroupSortBy

Instances

Instances details

Eq ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods (==) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool # (/=) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #
Ord ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods compare :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Ordering # (<) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool # (<=) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool # (>) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool # (>=) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool # max :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> ModelPackageGroupSortBy # min :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> ModelPackageGroupSortBy #
Read ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods readsPrec :: Int -> ReadS ModelPackageGroupSortBy # readList :: ReadS [ModelPackageGroupSortBy] # readPrec :: ReadPrec ModelPackageGroupSortBy # readListPrec :: ReadPrec [ModelPackageGroupSortBy] #
Show ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods showsPrec :: Int -> ModelPackageGroupSortBy -> ShowS # show :: ModelPackageGroupSortBy -> String # showList :: [ModelPackageGroupSortBy] -> ShowS #
Generic ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Associated Types type Rep ModelPackageGroupSortBy :: Type -> Type # Methods from :: ModelPackageGroupSortBy -> Rep ModelPackageGroupSortBy x # to :: Rep ModelPackageGroupSortBy x -> ModelPackageGroupSortBy #
NFData ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods rnf :: ModelPackageGroupSortBy -> () #
Hashable ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods hashWithSalt :: Int -> ModelPackageGroupSortBy -> Int # hash :: ModelPackageGroupSortBy -> Int #
ToJSON ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toJSON :: ModelPackageGroupSortBy -> Value # toEncoding :: ModelPackageGroupSortBy -> Encoding # toJSONList :: [ModelPackageGroupSortBy] -> Value # toEncodingList :: [ModelPackageGroupSortBy] -> Encoding #
ToJSONKey ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toJSONKey :: ToJSONKeyFunction ModelPackageGroupSortBy # toJSONKeyList :: ToJSONKeyFunction [ModelPackageGroupSortBy] #
FromJSON ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods parseJSON :: Value -> Parser ModelPackageGroupSortBy # parseJSONList :: Value -> Parser [ModelPackageGroupSortBy] #
FromJSONKey ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods fromJSONKey :: FromJSONKeyFunction ModelPackageGroupSortBy # fromJSONKeyList :: FromJSONKeyFunction [ModelPackageGroupSortBy] #
ToLog ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods build :: ModelPackageGroupSortBy -> ByteStringBuilder #
ToHeader ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toHeader :: HeaderName -> ModelPackageGroupSortBy -> [Header] #
ToQuery ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toQuery :: ModelPackageGroupSortBy -> QueryString #
FromXML ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods parseXML :: [Node] -> Either String ModelPackageGroupSortBy #
ToXML ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toXML :: ModelPackageGroupSortBy -> XML #
ToByteString ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toBS :: ModelPackageGroupSortBy -> ByteString #
FromText ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods fromText :: Text -> Either String ModelPackageGroupSortBy #
ToText ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy Methods toText :: ModelPackageGroupSortBy -> Text #
type Rep ModelPackageGroupSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy type Rep ModelPackageGroupSortBy = D1 ('MetaData "ModelPackageGroupSortBy" "Amazonka.SageMaker.Types.ModelPackageGroupSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelPackageGroupSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageGroupSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageGroupStatus

newtype ModelPackageGroupStatus Source #

Constructors

ModelPackageGroupStatus'
Fields fromModelPackageGroupStatus :: Text

Bundled Patterns

pattern ModelPackageGroupStatus_Completed :: ModelPackageGroupStatus
pattern ModelPackageGroupStatus_DeleteFailed :: ModelPackageGroupStatus
pattern ModelPackageGroupStatus_Deleting :: ModelPackageGroupStatus
pattern ModelPackageGroupStatus_Failed :: ModelPackageGroupStatus
pattern ModelPackageGroupStatus_InProgress :: ModelPackageGroupStatus
pattern ModelPackageGroupStatus_Pending :: ModelPackageGroupStatus

Instances

Instances details

Eq ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods (==) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool # (/=) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #
Ord ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods compare :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Ordering # (<) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool # (<=) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool # (>) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool # (>=) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool # max :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> ModelPackageGroupStatus # min :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> ModelPackageGroupStatus #
Read ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods readsPrec :: Int -> ReadS ModelPackageGroupStatus # readList :: ReadS [ModelPackageGroupStatus] # readPrec :: ReadPrec ModelPackageGroupStatus # readListPrec :: ReadPrec [ModelPackageGroupStatus] #
Show ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods showsPrec :: Int -> ModelPackageGroupStatus -> ShowS # show :: ModelPackageGroupStatus -> String # showList :: [ModelPackageGroupStatus] -> ShowS #
Generic ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Associated Types type Rep ModelPackageGroupStatus :: Type -> Type # Methods from :: ModelPackageGroupStatus -> Rep ModelPackageGroupStatus x # to :: Rep ModelPackageGroupStatus x -> ModelPackageGroupStatus #
NFData ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods rnf :: ModelPackageGroupStatus -> () #
Hashable ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods hashWithSalt :: Int -> ModelPackageGroupStatus -> Int # hash :: ModelPackageGroupStatus -> Int #
ToJSON ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toJSON :: ModelPackageGroupStatus -> Value # toEncoding :: ModelPackageGroupStatus -> Encoding # toJSONList :: [ModelPackageGroupStatus] -> Value # toEncodingList :: [ModelPackageGroupStatus] -> Encoding #
ToJSONKey ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toJSONKey :: ToJSONKeyFunction ModelPackageGroupStatus # toJSONKeyList :: ToJSONKeyFunction [ModelPackageGroupStatus] #
FromJSON ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods parseJSON :: Value -> Parser ModelPackageGroupStatus # parseJSONList :: Value -> Parser [ModelPackageGroupStatus] #
FromJSONKey ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods fromJSONKey :: FromJSONKeyFunction ModelPackageGroupStatus # fromJSONKeyList :: FromJSONKeyFunction [ModelPackageGroupStatus] #
ToLog ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods build :: ModelPackageGroupStatus -> ByteStringBuilder #
ToHeader ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toHeader :: HeaderName -> ModelPackageGroupStatus -> [Header] #
ToQuery ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toQuery :: ModelPackageGroupStatus -> QueryString #
FromXML ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods parseXML :: [Node] -> Either String ModelPackageGroupStatus #
ToXML ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toXML :: ModelPackageGroupStatus -> XML #
ToByteString ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toBS :: ModelPackageGroupStatus -> ByteString #
FromText ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods fromText :: Text -> Either String ModelPackageGroupStatus #
ToText ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus Methods toText :: ModelPackageGroupStatus -> Text #
type Rep ModelPackageGroupStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus type Rep ModelPackageGroupStatus = D1 ('MetaData "ModelPackageGroupStatus" "Amazonka.SageMaker.Types.ModelPackageGroupStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelPackageGroupStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageSortBy

newtype ModelPackageSortBy Source #

Constructors

ModelPackageSortBy'
Fields fromModelPackageSortBy :: Text

Bundled Patterns

pattern ModelPackageSortBy_CreationTime :: ModelPackageSortBy
pattern ModelPackageSortBy_Name :: ModelPackageSortBy

Instances

Instances details

Eq ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods (==) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool # (/=) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #
Ord ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods compare :: ModelPackageSortBy -> ModelPackageSortBy -> Ordering # (<) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool # (<=) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool # (>) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool # (>=) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool # max :: ModelPackageSortBy -> ModelPackageSortBy -> ModelPackageSortBy # min :: ModelPackageSortBy -> ModelPackageSortBy -> ModelPackageSortBy #
Read ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods readsPrec :: Int -> ReadS ModelPackageSortBy # readList :: ReadS [ModelPackageSortBy] # readPrec :: ReadPrec ModelPackageSortBy # readListPrec :: ReadPrec [ModelPackageSortBy] #
Show ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods showsPrec :: Int -> ModelPackageSortBy -> ShowS # show :: ModelPackageSortBy -> String # showList :: [ModelPackageSortBy] -> ShowS #
Generic ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Associated Types type Rep ModelPackageSortBy :: Type -> Type # Methods from :: ModelPackageSortBy -> Rep ModelPackageSortBy x # to :: Rep ModelPackageSortBy x -> ModelPackageSortBy #
NFData ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods rnf :: ModelPackageSortBy -> () #
Hashable ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods hashWithSalt :: Int -> ModelPackageSortBy -> Int # hash :: ModelPackageSortBy -> Int #
ToJSON ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toJSON :: ModelPackageSortBy -> Value # toEncoding :: ModelPackageSortBy -> Encoding # toJSONList :: [ModelPackageSortBy] -> Value # toEncodingList :: [ModelPackageSortBy] -> Encoding #
ToJSONKey ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toJSONKey :: ToJSONKeyFunction ModelPackageSortBy # toJSONKeyList :: ToJSONKeyFunction [ModelPackageSortBy] #
FromJSON ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods parseJSON :: Value -> Parser ModelPackageSortBy # parseJSONList :: Value -> Parser [ModelPackageSortBy] #
FromJSONKey ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods fromJSONKey :: FromJSONKeyFunction ModelPackageSortBy # fromJSONKeyList :: FromJSONKeyFunction [ModelPackageSortBy] #
ToLog ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods build :: ModelPackageSortBy -> ByteStringBuilder #
ToHeader ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toHeader :: HeaderName -> ModelPackageSortBy -> [Header] #
ToQuery ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toQuery :: ModelPackageSortBy -> QueryString #
FromXML ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods parseXML :: [Node] -> Either String ModelPackageSortBy #
ToXML ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toXML :: ModelPackageSortBy -> XML #
ToByteString ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toBS :: ModelPackageSortBy -> ByteString #
FromText ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods fromText :: Text -> Either String ModelPackageSortBy #
ToText ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy Methods toText :: ModelPackageSortBy -> Text #
type Rep ModelPackageSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSortBy type Rep ModelPackageSortBy = D1 ('MetaData "ModelPackageSortBy" "Amazonka.SageMaker.Types.ModelPackageSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelPackageSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageStatus

newtype ModelPackageStatus Source #

Constructors

ModelPackageStatus'
Fields fromModelPackageStatus :: Text

Bundled Patterns

pattern ModelPackageStatus_Completed :: ModelPackageStatus
pattern ModelPackageStatus_Deleting :: ModelPackageStatus
pattern ModelPackageStatus_Failed :: ModelPackageStatus
pattern ModelPackageStatus_InProgress :: ModelPackageStatus
pattern ModelPackageStatus_Pending :: ModelPackageStatus

Instances

Instances details

Eq ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods (==) :: ModelPackageStatus -> ModelPackageStatus -> Bool # (/=) :: ModelPackageStatus -> ModelPackageStatus -> Bool #
Ord ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods compare :: ModelPackageStatus -> ModelPackageStatus -> Ordering # (<) :: ModelPackageStatus -> ModelPackageStatus -> Bool # (<=) :: ModelPackageStatus -> ModelPackageStatus -> Bool # (>) :: ModelPackageStatus -> ModelPackageStatus -> Bool # (>=) :: ModelPackageStatus -> ModelPackageStatus -> Bool # max :: ModelPackageStatus -> ModelPackageStatus -> ModelPackageStatus # min :: ModelPackageStatus -> ModelPackageStatus -> ModelPackageStatus #
Read ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods readsPrec :: Int -> ReadS ModelPackageStatus # readList :: ReadS [ModelPackageStatus] # readPrec :: ReadPrec ModelPackageStatus # readListPrec :: ReadPrec [ModelPackageStatus] #
Show ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods showsPrec :: Int -> ModelPackageStatus -> ShowS # show :: ModelPackageStatus -> String # showList :: [ModelPackageStatus] -> ShowS #
Generic ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Associated Types type Rep ModelPackageStatus :: Type -> Type # Methods from :: ModelPackageStatus -> Rep ModelPackageStatus x # to :: Rep ModelPackageStatus x -> ModelPackageStatus #
NFData ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods rnf :: ModelPackageStatus -> () #
Hashable ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods hashWithSalt :: Int -> ModelPackageStatus -> Int # hash :: ModelPackageStatus -> Int #
ToJSON ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toJSON :: ModelPackageStatus -> Value # toEncoding :: ModelPackageStatus -> Encoding # toJSONList :: [ModelPackageStatus] -> Value # toEncodingList :: [ModelPackageStatus] -> Encoding #
ToJSONKey ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toJSONKey :: ToJSONKeyFunction ModelPackageStatus # toJSONKeyList :: ToJSONKeyFunction [ModelPackageStatus] #
FromJSON ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods parseJSON :: Value -> Parser ModelPackageStatus # parseJSONList :: Value -> Parser [ModelPackageStatus] #
FromJSONKey ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods fromJSONKey :: FromJSONKeyFunction ModelPackageStatus # fromJSONKeyList :: FromJSONKeyFunction [ModelPackageStatus] #
ToLog ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods build :: ModelPackageStatus -> ByteStringBuilder #
ToHeader ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toHeader :: HeaderName -> ModelPackageStatus -> [Header] #
ToQuery ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toQuery :: ModelPackageStatus -> QueryString #
FromXML ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods parseXML :: [Node] -> Either String ModelPackageStatus #
ToXML ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toXML :: ModelPackageStatus -> XML #
ToByteString ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toBS :: ModelPackageStatus -> ByteString #
FromText ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods fromText :: Text -> Either String ModelPackageStatus #
ToText ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus Methods toText :: ModelPackageStatus -> Text #
type Rep ModelPackageStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatus type Rep ModelPackageStatus = D1 ('MetaData "ModelPackageStatus" "Amazonka.SageMaker.Types.ModelPackageStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelPackageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageType

newtype ModelPackageType Source #

Constructors

ModelPackageType'
Fields fromModelPackageType :: Text

Bundled Patterns

pattern ModelPackageType_Both :: ModelPackageType
pattern ModelPackageType_Unversioned :: ModelPackageType
pattern ModelPackageType_Versioned :: ModelPackageType

Instances

Instances details

Eq ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods (==) :: ModelPackageType -> ModelPackageType -> Bool # (/=) :: ModelPackageType -> ModelPackageType -> Bool #
Ord ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods compare :: ModelPackageType -> ModelPackageType -> Ordering # (<) :: ModelPackageType -> ModelPackageType -> Bool # (<=) :: ModelPackageType -> ModelPackageType -> Bool # (>) :: ModelPackageType -> ModelPackageType -> Bool # (>=) :: ModelPackageType -> ModelPackageType -> Bool # max :: ModelPackageType -> ModelPackageType -> ModelPackageType # min :: ModelPackageType -> ModelPackageType -> ModelPackageType #
Read ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods readsPrec :: Int -> ReadS ModelPackageType # readList :: ReadS [ModelPackageType] # readPrec :: ReadPrec ModelPackageType # readListPrec :: ReadPrec [ModelPackageType] #
Show ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods showsPrec :: Int -> ModelPackageType -> ShowS # show :: ModelPackageType -> String # showList :: [ModelPackageType] -> ShowS #
Generic ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Associated Types type Rep ModelPackageType :: Type -> Type # Methods from :: ModelPackageType -> Rep ModelPackageType x # to :: Rep ModelPackageType x -> ModelPackageType #
NFData ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods rnf :: ModelPackageType -> () #
Hashable ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods hashWithSalt :: Int -> ModelPackageType -> Int # hash :: ModelPackageType -> Int #
ToJSON ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toJSON :: ModelPackageType -> Value # toEncoding :: ModelPackageType -> Encoding # toJSONList :: [ModelPackageType] -> Value # toEncodingList :: [ModelPackageType] -> Encoding #
ToJSONKey ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toJSONKey :: ToJSONKeyFunction ModelPackageType # toJSONKeyList :: ToJSONKeyFunction [ModelPackageType] #
FromJSON ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods parseJSON :: Value -> Parser ModelPackageType # parseJSONList :: Value -> Parser [ModelPackageType] #
FromJSONKey ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods fromJSONKey :: FromJSONKeyFunction ModelPackageType # fromJSONKeyList :: FromJSONKeyFunction [ModelPackageType] #
ToLog ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods build :: ModelPackageType -> ByteStringBuilder #
ToHeader ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toHeader :: HeaderName -> ModelPackageType -> [Header] #
ToQuery ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toQuery :: ModelPackageType -> QueryString #
FromXML ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods parseXML :: [Node] -> Either String ModelPackageType #
ToXML ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toXML :: ModelPackageType -> XML #
ToByteString ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toBS :: ModelPackageType -> ByteString #
FromText ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods fromText :: Text -> Either String ModelPackageType #
ToText ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType Methods toText :: ModelPackageType -> Text #
type Rep ModelPackageType Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageType type Rep ModelPackageType = D1 ('MetaData "ModelPackageType" "Amazonka.SageMaker.Types.ModelPackageType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelPackageType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelSortKey

newtype ModelSortKey Source #

Constructors

ModelSortKey'
Fields fromModelSortKey :: Text

Bundled Patterns

pattern ModelSortKey_CreationTime :: ModelSortKey
pattern ModelSortKey_Name :: ModelSortKey

Instances

Instances details

Eq ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods (==) :: ModelSortKey -> ModelSortKey -> Bool # (/=) :: ModelSortKey -> ModelSortKey -> Bool #
Ord ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods compare :: ModelSortKey -> ModelSortKey -> Ordering # (<) :: ModelSortKey -> ModelSortKey -> Bool # (<=) :: ModelSortKey -> ModelSortKey -> Bool # (>) :: ModelSortKey -> ModelSortKey -> Bool # (>=) :: ModelSortKey -> ModelSortKey -> Bool # max :: ModelSortKey -> ModelSortKey -> ModelSortKey # min :: ModelSortKey -> ModelSortKey -> ModelSortKey #
Read ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods readsPrec :: Int -> ReadS ModelSortKey # readList :: ReadS [ModelSortKey] # readPrec :: ReadPrec ModelSortKey # readListPrec :: ReadPrec [ModelSortKey] #
Show ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods showsPrec :: Int -> ModelSortKey -> ShowS # show :: ModelSortKey -> String # showList :: [ModelSortKey] -> ShowS #
Generic ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Associated Types type Rep ModelSortKey :: Type -> Type # Methods from :: ModelSortKey -> Rep ModelSortKey x # to :: Rep ModelSortKey x -> ModelSortKey #
NFData ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods rnf :: ModelSortKey -> () #
Hashable ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods hashWithSalt :: Int -> ModelSortKey -> Int # hash :: ModelSortKey -> Int #
ToJSON ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toJSON :: ModelSortKey -> Value # toEncoding :: ModelSortKey -> Encoding # toJSONList :: [ModelSortKey] -> Value # toEncodingList :: [ModelSortKey] -> Encoding #
ToJSONKey ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toJSONKey :: ToJSONKeyFunction ModelSortKey # toJSONKeyList :: ToJSONKeyFunction [ModelSortKey] #
FromJSON ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods parseJSON :: Value -> Parser ModelSortKey # parseJSONList :: Value -> Parser [ModelSortKey] #
FromJSONKey ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods fromJSONKey :: FromJSONKeyFunction ModelSortKey # fromJSONKeyList :: FromJSONKeyFunction [ModelSortKey] #
ToLog ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods build :: ModelSortKey -> ByteStringBuilder #
ToHeader ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toHeader :: HeaderName -> ModelSortKey -> [Header] #
ToQuery ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toQuery :: ModelSortKey -> QueryString #
FromXML ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods parseXML :: [Node] -> Either String ModelSortKey #
ToXML ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toXML :: ModelSortKey -> XML #
ToByteString ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toBS :: ModelSortKey -> ByteString #
FromText ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods fromText :: Text -> Either String ModelSortKey #
ToText ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey Methods toText :: ModelSortKey -> Text #
type Rep ModelSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSortKey type Rep ModelSortKey = D1 ('MetaData "ModelSortKey" "Amazonka.SageMaker.Types.ModelSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ModelSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringExecutionSortKey

newtype MonitoringExecutionSortKey Source #

Constructors

MonitoringExecutionSortKey'
Fields fromMonitoringExecutionSortKey :: Text

Bundled Patterns

pattern MonitoringExecutionSortKey_CreationTime :: MonitoringExecutionSortKey
pattern MonitoringExecutionSortKey_ScheduledTime :: MonitoringExecutionSortKey
pattern MonitoringExecutionSortKey_Status :: MonitoringExecutionSortKey

Instances

Instances details

Eq MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods (==) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool # (/=) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #
Ord MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods compare :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Ordering # (<) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool # (<=) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool # (>) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool # (>=) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool # max :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> MonitoringExecutionSortKey # min :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> MonitoringExecutionSortKey #
Read MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods readsPrec :: Int -> ReadS MonitoringExecutionSortKey # readList :: ReadS [MonitoringExecutionSortKey] # readPrec :: ReadPrec MonitoringExecutionSortKey # readListPrec :: ReadPrec [MonitoringExecutionSortKey] #
Show MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods showsPrec :: Int -> MonitoringExecutionSortKey -> ShowS # show :: MonitoringExecutionSortKey -> String # showList :: [MonitoringExecutionSortKey] -> ShowS #
Generic MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Associated Types type Rep MonitoringExecutionSortKey :: Type -> Type # Methods from :: MonitoringExecutionSortKey -> Rep MonitoringExecutionSortKey x # to :: Rep MonitoringExecutionSortKey x -> MonitoringExecutionSortKey #
NFData MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods rnf :: MonitoringExecutionSortKey -> () #
Hashable MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods hashWithSalt :: Int -> MonitoringExecutionSortKey -> Int # hash :: MonitoringExecutionSortKey -> Int #
ToJSON MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toJSON :: MonitoringExecutionSortKey -> Value # toEncoding :: MonitoringExecutionSortKey -> Encoding # toJSONList :: [MonitoringExecutionSortKey] -> Value # toEncodingList :: [MonitoringExecutionSortKey] -> Encoding #
ToJSONKey MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toJSONKey :: ToJSONKeyFunction MonitoringExecutionSortKey # toJSONKeyList :: ToJSONKeyFunction [MonitoringExecutionSortKey] #
FromJSON MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods parseJSON :: Value -> Parser MonitoringExecutionSortKey # parseJSONList :: Value -> Parser [MonitoringExecutionSortKey] #
FromJSONKey MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods fromJSONKey :: FromJSONKeyFunction MonitoringExecutionSortKey # fromJSONKeyList :: FromJSONKeyFunction [MonitoringExecutionSortKey] #
ToLog MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods build :: MonitoringExecutionSortKey -> ByteStringBuilder #
ToHeader MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toHeader :: HeaderName -> MonitoringExecutionSortKey -> [Header] #
ToQuery MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toQuery :: MonitoringExecutionSortKey -> QueryString #
FromXML MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods parseXML :: [Node] -> Either String MonitoringExecutionSortKey #
ToXML MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toXML :: MonitoringExecutionSortKey -> XML #
ToByteString MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toBS :: MonitoringExecutionSortKey -> ByteString #
FromText MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods fromText :: Text -> Either String MonitoringExecutionSortKey #
ToText MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey Methods toText :: MonitoringExecutionSortKey -> Text #
type Rep MonitoringExecutionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey type Rep MonitoringExecutionSortKey = D1 ('MetaData "MonitoringExecutionSortKey" "Amazonka.SageMaker.Types.MonitoringExecutionSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "MonitoringExecutionSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringExecutionSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringJobDefinitionSortKey

newtype MonitoringJobDefinitionSortKey Source #

Constructors

MonitoringJobDefinitionSortKey'
Fields fromMonitoringJobDefinitionSortKey :: Text

Bundled Patterns

pattern MonitoringJobDefinitionSortKey_CreationTime :: MonitoringJobDefinitionSortKey
pattern MonitoringJobDefinitionSortKey_Name :: MonitoringJobDefinitionSortKey

Instances

Instances details

Eq MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods (==) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool # (/=) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #
Ord MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods compare :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Ordering # (<) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool # (<=) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool # (>) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool # (>=) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool # max :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey # min :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey #
Read MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods readsPrec :: Int -> ReadS MonitoringJobDefinitionSortKey # readList :: ReadS [MonitoringJobDefinitionSortKey] # readPrec :: ReadPrec MonitoringJobDefinitionSortKey # readListPrec :: ReadPrec [MonitoringJobDefinitionSortKey] #
Show MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods showsPrec :: Int -> MonitoringJobDefinitionSortKey -> ShowS # show :: MonitoringJobDefinitionSortKey -> String # showList :: [MonitoringJobDefinitionSortKey] -> ShowS #
Generic MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Associated Types type Rep MonitoringJobDefinitionSortKey :: Type -> Type # Methods from :: MonitoringJobDefinitionSortKey -> Rep MonitoringJobDefinitionSortKey x # to :: Rep MonitoringJobDefinitionSortKey x -> MonitoringJobDefinitionSortKey #
NFData MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods rnf :: MonitoringJobDefinitionSortKey -> () #
Hashable MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods hashWithSalt :: Int -> MonitoringJobDefinitionSortKey -> Int # hash :: MonitoringJobDefinitionSortKey -> Int #
ToJSON MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toJSON :: MonitoringJobDefinitionSortKey -> Value # toEncoding :: MonitoringJobDefinitionSortKey -> Encoding # toJSONList :: [MonitoringJobDefinitionSortKey] -> Value # toEncodingList :: [MonitoringJobDefinitionSortKey] -> Encoding #
ToJSONKey MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toJSONKey :: ToJSONKeyFunction MonitoringJobDefinitionSortKey # toJSONKeyList :: ToJSONKeyFunction [MonitoringJobDefinitionSortKey] #
FromJSON MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods parseJSON :: Value -> Parser MonitoringJobDefinitionSortKey # parseJSONList :: Value -> Parser [MonitoringJobDefinitionSortKey] #
FromJSONKey MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods fromJSONKey :: FromJSONKeyFunction MonitoringJobDefinitionSortKey # fromJSONKeyList :: FromJSONKeyFunction [MonitoringJobDefinitionSortKey] #
ToLog MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods build :: MonitoringJobDefinitionSortKey -> ByteStringBuilder #
ToHeader MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toHeader :: HeaderName -> MonitoringJobDefinitionSortKey -> [Header] #
ToQuery MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toQuery :: MonitoringJobDefinitionSortKey -> QueryString #
FromXML MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods parseXML :: [Node] -> Either String MonitoringJobDefinitionSortKey #
ToXML MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toXML :: MonitoringJobDefinitionSortKey -> XML #
ToByteString MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toBS :: MonitoringJobDefinitionSortKey -> ByteString #
FromText MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods fromText :: Text -> Either String MonitoringJobDefinitionSortKey #
ToText MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey Methods toText :: MonitoringJobDefinitionSortKey -> Text #
type Rep MonitoringJobDefinitionSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey type Rep MonitoringJobDefinitionSortKey = D1 ('MetaData "MonitoringJobDefinitionSortKey" "Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "MonitoringJobDefinitionSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringJobDefinitionSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringProblemType

newtype MonitoringProblemType Source #

Constructors

MonitoringProblemType'
Fields fromMonitoringProblemType :: Text

Bundled Patterns

pattern MonitoringProblemType_BinaryClassification :: MonitoringProblemType
pattern MonitoringProblemType_MulticlassClassification :: MonitoringProblemType
pattern MonitoringProblemType_Regression :: MonitoringProblemType

Instances

Instances details

Eq MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods (==) :: MonitoringProblemType -> MonitoringProblemType -> Bool # (/=) :: MonitoringProblemType -> MonitoringProblemType -> Bool #
Ord MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods compare :: MonitoringProblemType -> MonitoringProblemType -> Ordering # (<) :: MonitoringProblemType -> MonitoringProblemType -> Bool # (<=) :: MonitoringProblemType -> MonitoringProblemType -> Bool # (>) :: MonitoringProblemType -> MonitoringProblemType -> Bool # (>=) :: MonitoringProblemType -> MonitoringProblemType -> Bool # max :: MonitoringProblemType -> MonitoringProblemType -> MonitoringProblemType # min :: MonitoringProblemType -> MonitoringProblemType -> MonitoringProblemType #
Read MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods readsPrec :: Int -> ReadS MonitoringProblemType # readList :: ReadS [MonitoringProblemType] # readPrec :: ReadPrec MonitoringProblemType # readListPrec :: ReadPrec [MonitoringProblemType] #
Show MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods showsPrec :: Int -> MonitoringProblemType -> ShowS # show :: MonitoringProblemType -> String # showList :: [MonitoringProblemType] -> ShowS #
Generic MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Associated Types type Rep MonitoringProblemType :: Type -> Type # Methods from :: MonitoringProblemType -> Rep MonitoringProblemType x # to :: Rep MonitoringProblemType x -> MonitoringProblemType #
NFData MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods rnf :: MonitoringProblemType -> () #
Hashable MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods hashWithSalt :: Int -> MonitoringProblemType -> Int # hash :: MonitoringProblemType -> Int #
ToJSON MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toJSON :: MonitoringProblemType -> Value # toEncoding :: MonitoringProblemType -> Encoding # toJSONList :: [MonitoringProblemType] -> Value # toEncodingList :: [MonitoringProblemType] -> Encoding #
ToJSONKey MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toJSONKey :: ToJSONKeyFunction MonitoringProblemType # toJSONKeyList :: ToJSONKeyFunction [MonitoringProblemType] #
FromJSON MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods parseJSON :: Value -> Parser MonitoringProblemType # parseJSONList :: Value -> Parser [MonitoringProblemType] #
FromJSONKey MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods fromJSONKey :: FromJSONKeyFunction MonitoringProblemType # fromJSONKeyList :: FromJSONKeyFunction [MonitoringProblemType] #
ToLog MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods build :: MonitoringProblemType -> ByteStringBuilder #
ToHeader MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toHeader :: HeaderName -> MonitoringProblemType -> [Header] #
ToQuery MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toQuery :: MonitoringProblemType -> QueryString #
FromXML MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods parseXML :: [Node] -> Either String MonitoringProblemType #
ToXML MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toXML :: MonitoringProblemType -> XML #
ToByteString MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toBS :: MonitoringProblemType -> ByteString #
FromText MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods fromText :: Text -> Either String MonitoringProblemType #
ToText MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType Methods toText :: MonitoringProblemType -> Text #
type Rep MonitoringProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringProblemType type Rep MonitoringProblemType = D1 ('MetaData "MonitoringProblemType" "Amazonka.SageMaker.Types.MonitoringProblemType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "MonitoringProblemType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringProblemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringScheduleSortKey

newtype MonitoringScheduleSortKey Source #

Constructors

MonitoringScheduleSortKey'
Fields fromMonitoringScheduleSortKey :: Text

Bundled Patterns

pattern MonitoringScheduleSortKey_CreationTime :: MonitoringScheduleSortKey
pattern MonitoringScheduleSortKey_Name :: MonitoringScheduleSortKey
pattern MonitoringScheduleSortKey_Status :: MonitoringScheduleSortKey

Instances

Instances details

Eq MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods (==) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool # (/=) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #
Ord MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods compare :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Ordering # (<) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool # (<=) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool # (>) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool # (>=) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool # max :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> MonitoringScheduleSortKey # min :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> MonitoringScheduleSortKey #
Read MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods readsPrec :: Int -> ReadS MonitoringScheduleSortKey # readList :: ReadS [MonitoringScheduleSortKey] # readPrec :: ReadPrec MonitoringScheduleSortKey # readListPrec :: ReadPrec [MonitoringScheduleSortKey] #
Show MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods showsPrec :: Int -> MonitoringScheduleSortKey -> ShowS # show :: MonitoringScheduleSortKey -> String # showList :: [MonitoringScheduleSortKey] -> ShowS #
Generic MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Associated Types type Rep MonitoringScheduleSortKey :: Type -> Type # Methods from :: MonitoringScheduleSortKey -> Rep MonitoringScheduleSortKey x # to :: Rep MonitoringScheduleSortKey x -> MonitoringScheduleSortKey #
NFData MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods rnf :: MonitoringScheduleSortKey -> () #
Hashable MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods hashWithSalt :: Int -> MonitoringScheduleSortKey -> Int # hash :: MonitoringScheduleSortKey -> Int #
ToJSON MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toJSON :: MonitoringScheduleSortKey -> Value # toEncoding :: MonitoringScheduleSortKey -> Encoding # toJSONList :: [MonitoringScheduleSortKey] -> Value # toEncodingList :: [MonitoringScheduleSortKey] -> Encoding #
ToJSONKey MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toJSONKey :: ToJSONKeyFunction MonitoringScheduleSortKey # toJSONKeyList :: ToJSONKeyFunction [MonitoringScheduleSortKey] #
FromJSON MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods parseJSON :: Value -> Parser MonitoringScheduleSortKey # parseJSONList :: Value -> Parser [MonitoringScheduleSortKey] #
FromJSONKey MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods fromJSONKey :: FromJSONKeyFunction MonitoringScheduleSortKey # fromJSONKeyList :: FromJSONKeyFunction [MonitoringScheduleSortKey] #
ToLog MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods build :: MonitoringScheduleSortKey -> ByteStringBuilder #
ToHeader MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toHeader :: HeaderName -> MonitoringScheduleSortKey -> [Header] #
ToQuery MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toQuery :: MonitoringScheduleSortKey -> QueryString #
FromXML MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods parseXML :: [Node] -> Either String MonitoringScheduleSortKey #
ToXML MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toXML :: MonitoringScheduleSortKey -> XML #
ToByteString MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toBS :: MonitoringScheduleSortKey -> ByteString #
FromText MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods fromText :: Text -> Either String MonitoringScheduleSortKey #
ToText MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey Methods toText :: MonitoringScheduleSortKey -> Text #
type Rep MonitoringScheduleSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey type Rep MonitoringScheduleSortKey = D1 ('MetaData "MonitoringScheduleSortKey" "Amazonka.SageMaker.Types.MonitoringScheduleSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "MonitoringScheduleSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringScheduleSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringType

newtype MonitoringType Source #

Constructors

MonitoringType'
Fields fromMonitoringType :: Text

Bundled Patterns

pattern MonitoringType_DataQuality :: MonitoringType
pattern MonitoringType_ModelBias :: MonitoringType
pattern MonitoringType_ModelExplainability :: MonitoringType
pattern MonitoringType_ModelQuality :: MonitoringType

Instances

Instances details

Eq MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods (==) :: MonitoringType -> MonitoringType -> Bool # (/=) :: MonitoringType -> MonitoringType -> Bool #
Ord MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods compare :: MonitoringType -> MonitoringType -> Ordering # (<) :: MonitoringType -> MonitoringType -> Bool # (<=) :: MonitoringType -> MonitoringType -> Bool # (>) :: MonitoringType -> MonitoringType -> Bool # (>=) :: MonitoringType -> MonitoringType -> Bool # max :: MonitoringType -> MonitoringType -> MonitoringType # min :: MonitoringType -> MonitoringType -> MonitoringType #
Read MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods readsPrec :: Int -> ReadS MonitoringType # readList :: ReadS [MonitoringType] # readPrec :: ReadPrec MonitoringType # readListPrec :: ReadPrec [MonitoringType] #
Show MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods showsPrec :: Int -> MonitoringType -> ShowS # show :: MonitoringType -> String # showList :: [MonitoringType] -> ShowS #
Generic MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Associated Types type Rep MonitoringType :: Type -> Type # Methods from :: MonitoringType -> Rep MonitoringType x # to :: Rep MonitoringType x -> MonitoringType #
NFData MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods rnf :: MonitoringType -> () #
Hashable MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods hashWithSalt :: Int -> MonitoringType -> Int # hash :: MonitoringType -> Int #
ToJSON MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toJSON :: MonitoringType -> Value # toEncoding :: MonitoringType -> Encoding # toJSONList :: [MonitoringType] -> Value # toEncodingList :: [MonitoringType] -> Encoding #
ToJSONKey MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toJSONKey :: ToJSONKeyFunction MonitoringType # toJSONKeyList :: ToJSONKeyFunction [MonitoringType] #
FromJSON MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods parseJSON :: Value -> Parser MonitoringType # parseJSONList :: Value -> Parser [MonitoringType] #
FromJSONKey MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods fromJSONKey :: FromJSONKeyFunction MonitoringType # fromJSONKeyList :: FromJSONKeyFunction [MonitoringType] #
ToLog MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods build :: MonitoringType -> ByteStringBuilder #
ToHeader MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toHeader :: HeaderName -> MonitoringType -> [Header] #
ToQuery MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toQuery :: MonitoringType -> QueryString #
FromXML MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods parseXML :: [Node] -> Either String MonitoringType #
ToXML MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toXML :: MonitoringType -> XML #
ToByteString MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toBS :: MonitoringType -> ByteString #
FromText MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods fromText :: Text -> Either String MonitoringType #
ToText MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType Methods toText :: MonitoringType -> Text #
type Rep MonitoringType Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringType type Rep MonitoringType = D1 ('MetaData "MonitoringType" "Amazonka.SageMaker.Types.MonitoringType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "MonitoringType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceAcceleratorType

newtype NotebookInstanceAcceleratorType Source #

Constructors

NotebookInstanceAcceleratorType'
Fields fromNotebookInstanceAcceleratorType :: Text

Bundled Patterns

pattern NotebookInstanceAcceleratorType_Ml_eia1_large :: NotebookInstanceAcceleratorType
pattern NotebookInstanceAcceleratorType_Ml_eia1_medium :: NotebookInstanceAcceleratorType
pattern NotebookInstanceAcceleratorType_Ml_eia1_xlarge :: NotebookInstanceAcceleratorType
pattern NotebookInstanceAcceleratorType_Ml_eia2_large :: NotebookInstanceAcceleratorType
pattern NotebookInstanceAcceleratorType_Ml_eia2_medium :: NotebookInstanceAcceleratorType
pattern NotebookInstanceAcceleratorType_Ml_eia2_xlarge :: NotebookInstanceAcceleratorType

Instances

Instances details

Eq NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods (==) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool # (/=) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #
Ord NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods compare :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Ordering # (<) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool # (<=) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool # (>) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool # (>=) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool # max :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType # min :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType #
Read NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods readsPrec :: Int -> ReadS NotebookInstanceAcceleratorType # readList :: ReadS [NotebookInstanceAcceleratorType] # readPrec :: ReadPrec NotebookInstanceAcceleratorType # readListPrec :: ReadPrec [NotebookInstanceAcceleratorType] #
Show NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods showsPrec :: Int -> NotebookInstanceAcceleratorType -> ShowS # show :: NotebookInstanceAcceleratorType -> String # showList :: [NotebookInstanceAcceleratorType] -> ShowS #
Generic NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Associated Types type Rep NotebookInstanceAcceleratorType :: Type -> Type # Methods from :: NotebookInstanceAcceleratorType -> Rep NotebookInstanceAcceleratorType x # to :: Rep NotebookInstanceAcceleratorType x -> NotebookInstanceAcceleratorType #
NFData NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods rnf :: NotebookInstanceAcceleratorType -> () #
Hashable NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods hashWithSalt :: Int -> NotebookInstanceAcceleratorType -> Int # hash :: NotebookInstanceAcceleratorType -> Int #
ToJSON NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toJSON :: NotebookInstanceAcceleratorType -> Value # toEncoding :: NotebookInstanceAcceleratorType -> Encoding # toJSONList :: [NotebookInstanceAcceleratorType] -> Value # toEncodingList :: [NotebookInstanceAcceleratorType] -> Encoding #
ToJSONKey NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toJSONKey :: ToJSONKeyFunction NotebookInstanceAcceleratorType # toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceAcceleratorType] #
FromJSON NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods parseJSON :: Value -> Parser NotebookInstanceAcceleratorType # parseJSONList :: Value -> Parser [NotebookInstanceAcceleratorType] #
FromJSONKey NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods fromJSONKey :: FromJSONKeyFunction NotebookInstanceAcceleratorType # fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceAcceleratorType] #
ToLog NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods build :: NotebookInstanceAcceleratorType -> ByteStringBuilder #
ToHeader NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toHeader :: HeaderName -> NotebookInstanceAcceleratorType -> [Header] #
ToQuery NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toQuery :: NotebookInstanceAcceleratorType -> QueryString #
FromXML NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods parseXML :: [Node] -> Either String NotebookInstanceAcceleratorType #
ToXML NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toXML :: NotebookInstanceAcceleratorType -> XML #
ToByteString NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toBS :: NotebookInstanceAcceleratorType -> ByteString #
FromText NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods fromText :: Text -> Either String NotebookInstanceAcceleratorType #
ToText NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType Methods toText :: NotebookInstanceAcceleratorType -> Text #
type Rep NotebookInstanceAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType type Rep NotebookInstanceAcceleratorType = D1 ('MetaData "NotebookInstanceAcceleratorType" "Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookInstanceAcceleratorType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceAcceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceLifecycleConfigSortKey

newtype NotebookInstanceLifecycleConfigSortKey Source #

Constructors

NotebookInstanceLifecycleConfigSortKey'
Fields fromNotebookInstanceLifecycleConfigSortKey :: Text

Bundled Patterns

pattern NotebookInstanceLifecycleConfigSortKey_CreationTime :: NotebookInstanceLifecycleConfigSortKey
pattern NotebookInstanceLifecycleConfigSortKey_LastModifiedTime :: NotebookInstanceLifecycleConfigSortKey
pattern NotebookInstanceLifecycleConfigSortKey_Name :: NotebookInstanceLifecycleConfigSortKey

Instances

Instances details

Eq NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods (==) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool # (/=) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #
Ord NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods compare :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Ordering # (<) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool # (<=) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool # (>) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool # (>=) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool # max :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey # min :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey #
Read NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods readsPrec :: Int -> ReadS NotebookInstanceLifecycleConfigSortKey # readList :: ReadS [NotebookInstanceLifecycleConfigSortKey] # readPrec :: ReadPrec NotebookInstanceLifecycleConfigSortKey # readListPrec :: ReadPrec [NotebookInstanceLifecycleConfigSortKey] #
Show NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods showsPrec :: Int -> NotebookInstanceLifecycleConfigSortKey -> ShowS # show :: NotebookInstanceLifecycleConfigSortKey -> String # showList :: [NotebookInstanceLifecycleConfigSortKey] -> ShowS #
Generic NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Associated Types type Rep NotebookInstanceLifecycleConfigSortKey :: Type -> Type # Methods from :: NotebookInstanceLifecycleConfigSortKey -> Rep NotebookInstanceLifecycleConfigSortKey x # to :: Rep NotebookInstanceLifecycleConfigSortKey x -> NotebookInstanceLifecycleConfigSortKey #
NFData NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods rnf :: NotebookInstanceLifecycleConfigSortKey -> () #
Hashable NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods hashWithSalt :: Int -> NotebookInstanceLifecycleConfigSortKey -> Int # hash :: NotebookInstanceLifecycleConfigSortKey -> Int #
ToJSON NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toJSON :: NotebookInstanceLifecycleConfigSortKey -> Value # toEncoding :: NotebookInstanceLifecycleConfigSortKey -> Encoding # toJSONList :: [NotebookInstanceLifecycleConfigSortKey] -> Value # toEncodingList :: [NotebookInstanceLifecycleConfigSortKey] -> Encoding #
ToJSONKey NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toJSONKey :: ToJSONKeyFunction NotebookInstanceLifecycleConfigSortKey # toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceLifecycleConfigSortKey] #
FromJSON NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods parseJSON :: Value -> Parser NotebookInstanceLifecycleConfigSortKey # parseJSONList :: Value -> Parser [NotebookInstanceLifecycleConfigSortKey] #
FromJSONKey NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods fromJSONKey :: FromJSONKeyFunction NotebookInstanceLifecycleConfigSortKey # fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceLifecycleConfigSortKey] #
ToLog NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods build :: NotebookInstanceLifecycleConfigSortKey -> ByteStringBuilder #
ToHeader NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toHeader :: HeaderName -> NotebookInstanceLifecycleConfigSortKey -> [Header] #
ToQuery NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toQuery :: NotebookInstanceLifecycleConfigSortKey -> QueryString #
FromXML NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods parseXML :: [Node] -> Either String NotebookInstanceLifecycleConfigSortKey #
ToXML NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toXML :: NotebookInstanceLifecycleConfigSortKey -> XML #
ToByteString NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toBS :: NotebookInstanceLifecycleConfigSortKey -> ByteString #
FromText NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods fromText :: Text -> Either String NotebookInstanceLifecycleConfigSortKey #
ToText NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey Methods toText :: NotebookInstanceLifecycleConfigSortKey -> Text #
type Rep NotebookInstanceLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey type Rep NotebookInstanceLifecycleConfigSortKey = D1 ('MetaData "NotebookInstanceLifecycleConfigSortKey" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookInstanceLifecycleConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceLifecycleConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceLifecycleConfigSortOrder

newtype NotebookInstanceLifecycleConfigSortOrder Source #

Constructors

NotebookInstanceLifecycleConfigSortOrder'
Fields fromNotebookInstanceLifecycleConfigSortOrder :: Text

Bundled Patterns

pattern NotebookInstanceLifecycleConfigSortOrder_Ascending :: NotebookInstanceLifecycleConfigSortOrder
pattern NotebookInstanceLifecycleConfigSortOrder_Descending :: NotebookInstanceLifecycleConfigSortOrder

Instances

Instances details

Eq NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods (==) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool # (/=) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #
Ord NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods compare :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Ordering # (<) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool # (<=) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool # (>) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool # (>=) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool # max :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder # min :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder #
Read NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods readsPrec :: Int -> ReadS NotebookInstanceLifecycleConfigSortOrder # readList :: ReadS [NotebookInstanceLifecycleConfigSortOrder] # readPrec :: ReadPrec NotebookInstanceLifecycleConfigSortOrder # readListPrec :: ReadPrec [NotebookInstanceLifecycleConfigSortOrder] #
Show NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods showsPrec :: Int -> NotebookInstanceLifecycleConfigSortOrder -> ShowS # show :: NotebookInstanceLifecycleConfigSortOrder -> String # showList :: [NotebookInstanceLifecycleConfigSortOrder] -> ShowS #
Generic NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Associated Types type Rep NotebookInstanceLifecycleConfigSortOrder :: Type -> Type # Methods from :: NotebookInstanceLifecycleConfigSortOrder -> Rep NotebookInstanceLifecycleConfigSortOrder x # to :: Rep NotebookInstanceLifecycleConfigSortOrder x -> NotebookInstanceLifecycleConfigSortOrder #
NFData NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods rnf :: NotebookInstanceLifecycleConfigSortOrder -> () #
Hashable NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods hashWithSalt :: Int -> NotebookInstanceLifecycleConfigSortOrder -> Int # hash :: NotebookInstanceLifecycleConfigSortOrder -> Int #
ToJSON NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toJSON :: NotebookInstanceLifecycleConfigSortOrder -> Value # toEncoding :: NotebookInstanceLifecycleConfigSortOrder -> Encoding # toJSONList :: [NotebookInstanceLifecycleConfigSortOrder] -> Value # toEncodingList :: [NotebookInstanceLifecycleConfigSortOrder] -> Encoding #
ToJSONKey NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toJSONKey :: ToJSONKeyFunction NotebookInstanceLifecycleConfigSortOrder # toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceLifecycleConfigSortOrder] #
FromJSON NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods parseJSON :: Value -> Parser NotebookInstanceLifecycleConfigSortOrder # parseJSONList :: Value -> Parser [NotebookInstanceLifecycleConfigSortOrder] #
FromJSONKey NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods fromJSONKey :: FromJSONKeyFunction NotebookInstanceLifecycleConfigSortOrder # fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceLifecycleConfigSortOrder] #
ToLog NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods build :: NotebookInstanceLifecycleConfigSortOrder -> ByteStringBuilder #
ToHeader NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toHeader :: HeaderName -> NotebookInstanceLifecycleConfigSortOrder -> [Header] #
ToQuery NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toQuery :: NotebookInstanceLifecycleConfigSortOrder -> QueryString #
FromXML NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods parseXML :: [Node] -> Either String NotebookInstanceLifecycleConfigSortOrder #
ToXML NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toXML :: NotebookInstanceLifecycleConfigSortOrder -> XML #
ToByteString NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toBS :: NotebookInstanceLifecycleConfigSortOrder -> ByteString #
FromText NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods fromText :: Text -> Either String NotebookInstanceLifecycleConfigSortOrder #
ToText NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder Methods toText :: NotebookInstanceLifecycleConfigSortOrder -> Text #
type Rep NotebookInstanceLifecycleConfigSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder type Rep NotebookInstanceLifecycleConfigSortOrder = D1 ('MetaData "NotebookInstanceLifecycleConfigSortOrder" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookInstanceLifecycleConfigSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceLifecycleConfigSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceSortKey

newtype NotebookInstanceSortKey Source #

Constructors

NotebookInstanceSortKey'
Fields fromNotebookInstanceSortKey :: Text

Bundled Patterns

pattern NotebookInstanceSortKey_CreationTime :: NotebookInstanceSortKey
pattern NotebookInstanceSortKey_Name :: NotebookInstanceSortKey
pattern NotebookInstanceSortKey_Status :: NotebookInstanceSortKey

Instances

Instances details

Eq NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods (==) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool # (/=) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #
Ord NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods compare :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Ordering # (<) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool # (<=) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool # (>) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool # (>=) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool # max :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> NotebookInstanceSortKey # min :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> NotebookInstanceSortKey #
Read NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods readsPrec :: Int -> ReadS NotebookInstanceSortKey # readList :: ReadS [NotebookInstanceSortKey] # readPrec :: ReadPrec NotebookInstanceSortKey # readListPrec :: ReadPrec [NotebookInstanceSortKey] #
Show NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods showsPrec :: Int -> NotebookInstanceSortKey -> ShowS # show :: NotebookInstanceSortKey -> String # showList :: [NotebookInstanceSortKey] -> ShowS #
Generic NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Associated Types type Rep NotebookInstanceSortKey :: Type -> Type # Methods from :: NotebookInstanceSortKey -> Rep NotebookInstanceSortKey x # to :: Rep NotebookInstanceSortKey x -> NotebookInstanceSortKey #
NFData NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods rnf :: NotebookInstanceSortKey -> () #
Hashable NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods hashWithSalt :: Int -> NotebookInstanceSortKey -> Int # hash :: NotebookInstanceSortKey -> Int #
ToJSON NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toJSON :: NotebookInstanceSortKey -> Value # toEncoding :: NotebookInstanceSortKey -> Encoding # toJSONList :: [NotebookInstanceSortKey] -> Value # toEncodingList :: [NotebookInstanceSortKey] -> Encoding #
ToJSONKey NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toJSONKey :: ToJSONKeyFunction NotebookInstanceSortKey # toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceSortKey] #
FromJSON NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods parseJSON :: Value -> Parser NotebookInstanceSortKey # parseJSONList :: Value -> Parser [NotebookInstanceSortKey] #
FromJSONKey NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods fromJSONKey :: FromJSONKeyFunction NotebookInstanceSortKey # fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceSortKey] #
ToLog NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods build :: NotebookInstanceSortKey -> ByteStringBuilder #
ToHeader NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toHeader :: HeaderName -> NotebookInstanceSortKey -> [Header] #
ToQuery NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toQuery :: NotebookInstanceSortKey -> QueryString #
FromXML NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods parseXML :: [Node] -> Either String NotebookInstanceSortKey #
ToXML NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toXML :: NotebookInstanceSortKey -> XML #
ToByteString NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toBS :: NotebookInstanceSortKey -> ByteString #
FromText NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods fromText :: Text -> Either String NotebookInstanceSortKey #
ToText NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey Methods toText :: NotebookInstanceSortKey -> Text #
type Rep NotebookInstanceSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey type Rep NotebookInstanceSortKey = D1 ('MetaData "NotebookInstanceSortKey" "Amazonka.SageMaker.Types.NotebookInstanceSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookInstanceSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceSortOrder

newtype NotebookInstanceSortOrder Source #

Constructors

NotebookInstanceSortOrder'
Fields fromNotebookInstanceSortOrder :: Text

Bundled Patterns

pattern NotebookInstanceSortOrder_Ascending :: NotebookInstanceSortOrder
pattern NotebookInstanceSortOrder_Descending :: NotebookInstanceSortOrder

Instances

Instances details

Eq NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods (==) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool # (/=) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #
Ord NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods compare :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Ordering # (<) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool # (<=) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool # (>) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool # (>=) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool # max :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> NotebookInstanceSortOrder # min :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> NotebookInstanceSortOrder #
Read NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods readsPrec :: Int -> ReadS NotebookInstanceSortOrder # readList :: ReadS [NotebookInstanceSortOrder] # readPrec :: ReadPrec NotebookInstanceSortOrder # readListPrec :: ReadPrec [NotebookInstanceSortOrder] #
Show NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods showsPrec :: Int -> NotebookInstanceSortOrder -> ShowS # show :: NotebookInstanceSortOrder -> String # showList :: [NotebookInstanceSortOrder] -> ShowS #
Generic NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Associated Types type Rep NotebookInstanceSortOrder :: Type -> Type # Methods from :: NotebookInstanceSortOrder -> Rep NotebookInstanceSortOrder x # to :: Rep NotebookInstanceSortOrder x -> NotebookInstanceSortOrder #
NFData NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods rnf :: NotebookInstanceSortOrder -> () #
Hashable NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods hashWithSalt :: Int -> NotebookInstanceSortOrder -> Int # hash :: NotebookInstanceSortOrder -> Int #
ToJSON NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toJSON :: NotebookInstanceSortOrder -> Value # toEncoding :: NotebookInstanceSortOrder -> Encoding # toJSONList :: [NotebookInstanceSortOrder] -> Value # toEncodingList :: [NotebookInstanceSortOrder] -> Encoding #
ToJSONKey NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toJSONKey :: ToJSONKeyFunction NotebookInstanceSortOrder # toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceSortOrder] #
FromJSON NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods parseJSON :: Value -> Parser NotebookInstanceSortOrder # parseJSONList :: Value -> Parser [NotebookInstanceSortOrder] #
FromJSONKey NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods fromJSONKey :: FromJSONKeyFunction NotebookInstanceSortOrder # fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceSortOrder] #
ToLog NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods build :: NotebookInstanceSortOrder -> ByteStringBuilder #
ToHeader NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toHeader :: HeaderName -> NotebookInstanceSortOrder -> [Header] #
ToQuery NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toQuery :: NotebookInstanceSortOrder -> QueryString #
FromXML NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods parseXML :: [Node] -> Either String NotebookInstanceSortOrder #
ToXML NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toXML :: NotebookInstanceSortOrder -> XML #
ToByteString NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toBS :: NotebookInstanceSortOrder -> ByteString #
FromText NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods fromText :: Text -> Either String NotebookInstanceSortOrder #
ToText NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder Methods toText :: NotebookInstanceSortOrder -> Text #
type Rep NotebookInstanceSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder type Rep NotebookInstanceSortOrder = D1 ('MetaData "NotebookInstanceSortOrder" "Amazonka.SageMaker.Types.NotebookInstanceSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookInstanceSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceStatus

newtype NotebookInstanceStatus Source #

Constructors

NotebookInstanceStatus'
Fields fromNotebookInstanceStatus :: Text

Bundled Patterns

pattern NotebookInstanceStatus_Deleting :: NotebookInstanceStatus
pattern NotebookInstanceStatus_Failed :: NotebookInstanceStatus
pattern NotebookInstanceStatus_InService :: NotebookInstanceStatus
pattern NotebookInstanceStatus_Pending :: NotebookInstanceStatus
pattern NotebookInstanceStatus_Stopped :: NotebookInstanceStatus
pattern NotebookInstanceStatus_Stopping :: NotebookInstanceStatus
pattern NotebookInstanceStatus_Updating :: NotebookInstanceStatus

Instances

Instances details

Eq NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods (==) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool # (/=) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #
Ord NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods compare :: NotebookInstanceStatus -> NotebookInstanceStatus -> Ordering # (<) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool # (<=) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool # (>) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool # (>=) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool # max :: NotebookInstanceStatus -> NotebookInstanceStatus -> NotebookInstanceStatus # min :: NotebookInstanceStatus -> NotebookInstanceStatus -> NotebookInstanceStatus #
Read NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods readsPrec :: Int -> ReadS NotebookInstanceStatus # readList :: ReadS [NotebookInstanceStatus] # readPrec :: ReadPrec NotebookInstanceStatus # readListPrec :: ReadPrec [NotebookInstanceStatus] #
Show NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods showsPrec :: Int -> NotebookInstanceStatus -> ShowS # show :: NotebookInstanceStatus -> String # showList :: [NotebookInstanceStatus] -> ShowS #
Generic NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Associated Types type Rep NotebookInstanceStatus :: Type -> Type # Methods from :: NotebookInstanceStatus -> Rep NotebookInstanceStatus x # to :: Rep NotebookInstanceStatus x -> NotebookInstanceStatus #
NFData NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods rnf :: NotebookInstanceStatus -> () #
Hashable NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods hashWithSalt :: Int -> NotebookInstanceStatus -> Int # hash :: NotebookInstanceStatus -> Int #
ToJSON NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toJSON :: NotebookInstanceStatus -> Value # toEncoding :: NotebookInstanceStatus -> Encoding # toJSONList :: [NotebookInstanceStatus] -> Value # toEncodingList :: [NotebookInstanceStatus] -> Encoding #
ToJSONKey NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toJSONKey :: ToJSONKeyFunction NotebookInstanceStatus # toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceStatus] #
FromJSON NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods parseJSON :: Value -> Parser NotebookInstanceStatus # parseJSONList :: Value -> Parser [NotebookInstanceStatus] #
FromJSONKey NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods fromJSONKey :: FromJSONKeyFunction NotebookInstanceStatus # fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceStatus] #
ToLog NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods build :: NotebookInstanceStatus -> ByteStringBuilder #
ToHeader NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toHeader :: HeaderName -> NotebookInstanceStatus -> [Header] #
ToQuery NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toQuery :: NotebookInstanceStatus -> QueryString #
FromXML NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods parseXML :: [Node] -> Either String NotebookInstanceStatus #
ToXML NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toXML :: NotebookInstanceStatus -> XML #
ToByteString NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toBS :: NotebookInstanceStatus -> ByteString #
FromText NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods fromText :: Text -> Either String NotebookInstanceStatus #
ToText NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus Methods toText :: NotebookInstanceStatus -> Text #
type Rep NotebookInstanceStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus type Rep NotebookInstanceStatus = D1 ('MetaData "NotebookInstanceStatus" "Amazonka.SageMaker.Types.NotebookInstanceStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookInstanceStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookOutputOption

newtype NotebookOutputOption Source #

Constructors

NotebookOutputOption'
Fields fromNotebookOutputOption :: Text

Bundled Patterns

pattern NotebookOutputOption_Allowed :: NotebookOutputOption
pattern NotebookOutputOption_Disabled :: NotebookOutputOption

Instances

Instances details

Eq NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods (==) :: NotebookOutputOption -> NotebookOutputOption -> Bool # (/=) :: NotebookOutputOption -> NotebookOutputOption -> Bool #
Ord NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods compare :: NotebookOutputOption -> NotebookOutputOption -> Ordering # (<) :: NotebookOutputOption -> NotebookOutputOption -> Bool # (<=) :: NotebookOutputOption -> NotebookOutputOption -> Bool # (>) :: NotebookOutputOption -> NotebookOutputOption -> Bool # (>=) :: NotebookOutputOption -> NotebookOutputOption -> Bool # max :: NotebookOutputOption -> NotebookOutputOption -> NotebookOutputOption # min :: NotebookOutputOption -> NotebookOutputOption -> NotebookOutputOption #
Read NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods readsPrec :: Int -> ReadS NotebookOutputOption # readList :: ReadS [NotebookOutputOption] # readPrec :: ReadPrec NotebookOutputOption # readListPrec :: ReadPrec [NotebookOutputOption] #
Show NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods showsPrec :: Int -> NotebookOutputOption -> ShowS # show :: NotebookOutputOption -> String # showList :: [NotebookOutputOption] -> ShowS #
Generic NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Associated Types type Rep NotebookOutputOption :: Type -> Type # Methods from :: NotebookOutputOption -> Rep NotebookOutputOption x # to :: Rep NotebookOutputOption x -> NotebookOutputOption #
NFData NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods rnf :: NotebookOutputOption -> () #
Hashable NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods hashWithSalt :: Int -> NotebookOutputOption -> Int # hash :: NotebookOutputOption -> Int #
ToJSON NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toJSON :: NotebookOutputOption -> Value # toEncoding :: NotebookOutputOption -> Encoding # toJSONList :: [NotebookOutputOption] -> Value # toEncodingList :: [NotebookOutputOption] -> Encoding #
ToJSONKey NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toJSONKey :: ToJSONKeyFunction NotebookOutputOption # toJSONKeyList :: ToJSONKeyFunction [NotebookOutputOption] #
FromJSON NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods parseJSON :: Value -> Parser NotebookOutputOption # parseJSONList :: Value -> Parser [NotebookOutputOption] #
FromJSONKey NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods fromJSONKey :: FromJSONKeyFunction NotebookOutputOption # fromJSONKeyList :: FromJSONKeyFunction [NotebookOutputOption] #
ToLog NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods build :: NotebookOutputOption -> ByteStringBuilder #
ToHeader NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toHeader :: HeaderName -> NotebookOutputOption -> [Header] #
ToQuery NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toQuery :: NotebookOutputOption -> QueryString #
FromXML NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods parseXML :: [Node] -> Either String NotebookOutputOption #
ToXML NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toXML :: NotebookOutputOption -> XML #
ToByteString NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toBS :: NotebookOutputOption -> ByteString #
FromText NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods fromText :: Text -> Either String NotebookOutputOption #
ToText NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption Methods toText :: NotebookOutputOption -> Text #
type Rep NotebookOutputOption Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookOutputOption type Rep NotebookOutputOption = D1 ('MetaData "NotebookOutputOption" "Amazonka.SageMaker.Types.NotebookOutputOption" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "NotebookOutputOption'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookOutputOption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ObjectiveStatus

newtype ObjectiveStatus Source #

Constructors

ObjectiveStatus'
Fields fromObjectiveStatus :: Text

Bundled Patterns

pattern ObjectiveStatus_Failed :: ObjectiveStatus
pattern ObjectiveStatus_Pending :: ObjectiveStatus
pattern ObjectiveStatus_Succeeded :: ObjectiveStatus

Instances

Instances details

Eq ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods (==) :: ObjectiveStatus -> ObjectiveStatus -> Bool # (/=) :: ObjectiveStatus -> ObjectiveStatus -> Bool #
Ord ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods compare :: ObjectiveStatus -> ObjectiveStatus -> Ordering # (<) :: ObjectiveStatus -> ObjectiveStatus -> Bool # (<=) :: ObjectiveStatus -> ObjectiveStatus -> Bool # (>) :: ObjectiveStatus -> ObjectiveStatus -> Bool # (>=) :: ObjectiveStatus -> ObjectiveStatus -> Bool # max :: ObjectiveStatus -> ObjectiveStatus -> ObjectiveStatus # min :: ObjectiveStatus -> ObjectiveStatus -> ObjectiveStatus #
Read ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods readsPrec :: Int -> ReadS ObjectiveStatus # readList :: ReadS [ObjectiveStatus] # readPrec :: ReadPrec ObjectiveStatus # readListPrec :: ReadPrec [ObjectiveStatus] #
Show ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods showsPrec :: Int -> ObjectiveStatus -> ShowS # show :: ObjectiveStatus -> String # showList :: [ObjectiveStatus] -> ShowS #
Generic ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Associated Types type Rep ObjectiveStatus :: Type -> Type # Methods from :: ObjectiveStatus -> Rep ObjectiveStatus x # to :: Rep ObjectiveStatus x -> ObjectiveStatus #
NFData ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods rnf :: ObjectiveStatus -> () #
Hashable ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods hashWithSalt :: Int -> ObjectiveStatus -> Int # hash :: ObjectiveStatus -> Int #
ToJSON ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toJSON :: ObjectiveStatus -> Value # toEncoding :: ObjectiveStatus -> Encoding # toJSONList :: [ObjectiveStatus] -> Value # toEncodingList :: [ObjectiveStatus] -> Encoding #
ToJSONKey ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toJSONKey :: ToJSONKeyFunction ObjectiveStatus # toJSONKeyList :: ToJSONKeyFunction [ObjectiveStatus] #
FromJSON ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods parseJSON :: Value -> Parser ObjectiveStatus # parseJSONList :: Value -> Parser [ObjectiveStatus] #
FromJSONKey ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods fromJSONKey :: FromJSONKeyFunction ObjectiveStatus # fromJSONKeyList :: FromJSONKeyFunction [ObjectiveStatus] #
ToLog ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods build :: ObjectiveStatus -> ByteStringBuilder #
ToHeader ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toHeader :: HeaderName -> ObjectiveStatus -> [Header] #
ToQuery ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toQuery :: ObjectiveStatus -> QueryString #
FromXML ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods parseXML :: [Node] -> Either String ObjectiveStatus #
ToXML ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toXML :: ObjectiveStatus -> XML #
ToByteString ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toBS :: ObjectiveStatus -> ByteString #
FromText ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods fromText :: Text -> Either String ObjectiveStatus #
ToText ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus Methods toText :: ObjectiveStatus -> Text #
type Rep ObjectiveStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatus type Rep ObjectiveStatus = D1 ('MetaData "ObjectiveStatus" "Amazonka.SageMaker.Types.ObjectiveStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ObjectiveStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromObjectiveStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

OfflineStoreStatusValue

newtype OfflineStoreStatusValue Source #

Constructors

OfflineStoreStatusValue'
Fields fromOfflineStoreStatusValue :: Text

Bundled Patterns

pattern OfflineStoreStatusValue_Active :: OfflineStoreStatusValue
pattern OfflineStoreStatusValue_Blocked :: OfflineStoreStatusValue
pattern OfflineStoreStatusValue_Disabled :: OfflineStoreStatusValue

Instances

Instances details

Eq OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods (==) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool # (/=) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #
Ord OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods compare :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Ordering # (<) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool # (<=) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool # (>) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool # (>=) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool # max :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> OfflineStoreStatusValue # min :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> OfflineStoreStatusValue #
Read OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods readsPrec :: Int -> ReadS OfflineStoreStatusValue # readList :: ReadS [OfflineStoreStatusValue] # readPrec :: ReadPrec OfflineStoreStatusValue # readListPrec :: ReadPrec [OfflineStoreStatusValue] #
Show OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods showsPrec :: Int -> OfflineStoreStatusValue -> ShowS # show :: OfflineStoreStatusValue -> String # showList :: [OfflineStoreStatusValue] -> ShowS #
Generic OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Associated Types type Rep OfflineStoreStatusValue :: Type -> Type # Methods from :: OfflineStoreStatusValue -> Rep OfflineStoreStatusValue x # to :: Rep OfflineStoreStatusValue x -> OfflineStoreStatusValue #
NFData OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods rnf :: OfflineStoreStatusValue -> () #
Hashable OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods hashWithSalt :: Int -> OfflineStoreStatusValue -> Int # hash :: OfflineStoreStatusValue -> Int #
ToJSON OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toJSON :: OfflineStoreStatusValue -> Value # toEncoding :: OfflineStoreStatusValue -> Encoding # toJSONList :: [OfflineStoreStatusValue] -> Value # toEncodingList :: [OfflineStoreStatusValue] -> Encoding #
ToJSONKey OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toJSONKey :: ToJSONKeyFunction OfflineStoreStatusValue # toJSONKeyList :: ToJSONKeyFunction [OfflineStoreStatusValue] #
FromJSON OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods parseJSON :: Value -> Parser OfflineStoreStatusValue # parseJSONList :: Value -> Parser [OfflineStoreStatusValue] #
FromJSONKey OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods fromJSONKey :: FromJSONKeyFunction OfflineStoreStatusValue # fromJSONKeyList :: FromJSONKeyFunction [OfflineStoreStatusValue] #
ToLog OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods build :: OfflineStoreStatusValue -> ByteStringBuilder #
ToHeader OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toHeader :: HeaderName -> OfflineStoreStatusValue -> [Header] #
ToQuery OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toQuery :: OfflineStoreStatusValue -> QueryString #
FromXML OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods parseXML :: [Node] -> Either String OfflineStoreStatusValue #
ToXML OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toXML :: OfflineStoreStatusValue -> XML #
ToByteString OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toBS :: OfflineStoreStatusValue -> ByteString #
FromText OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods fromText :: Text -> Either String OfflineStoreStatusValue #
ToText OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue Methods toText :: OfflineStoreStatusValue -> Text #
type Rep OfflineStoreStatusValue Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue type Rep OfflineStoreStatusValue = D1 ('MetaData "OfflineStoreStatusValue" "Amazonka.SageMaker.Types.OfflineStoreStatusValue" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "OfflineStoreStatusValue'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOfflineStoreStatusValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Operator

newtype Operator Source #

Constructors

Operator'
Fields fromOperator :: Text

Bundled Patterns

pattern Operator_Contains :: Operator
pattern Operator_Equals :: Operator
pattern Operator_Exists :: Operator
pattern Operator_GreaterThan :: Operator
pattern Operator_GreaterThanOrEqualTo :: Operator
pattern Operator_In :: Operator
pattern Operator_LessThan :: Operator
pattern Operator_LessThanOrEqualTo :: Operator
pattern Operator_NotEquals :: Operator
pattern Operator_NotExists :: Operator

Instances

Instances details

Eq Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods (==) :: Operator -> Operator -> Bool # (/=) :: Operator -> Operator -> Bool #
Ord Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods compare :: Operator -> Operator -> Ordering # (<) :: Operator -> Operator -> Bool # (<=) :: Operator -> Operator -> Bool # (>) :: Operator -> Operator -> Bool # (>=) :: Operator -> Operator -> Bool # max :: Operator -> Operator -> Operator # min :: Operator -> Operator -> Operator #
Read Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods readsPrec :: Int -> ReadS Operator # readList :: ReadS [Operator] # readPrec :: ReadPrec Operator # readListPrec :: ReadPrec [Operator] #
Show Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods showsPrec :: Int -> Operator -> ShowS # show :: Operator -> String # showList :: [Operator] -> ShowS #
Generic Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Associated Types type Rep Operator :: Type -> Type # Methods from :: Operator -> Rep Operator x # to :: Rep Operator x -> Operator #
NFData Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods rnf :: Operator -> () #
Hashable Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods hashWithSalt :: Int -> Operator -> Int # hash :: Operator -> Int #
ToJSON Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toJSON :: Operator -> Value # toEncoding :: Operator -> Encoding # toJSONList :: [Operator] -> Value # toEncodingList :: [Operator] -> Encoding #
ToJSONKey Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toJSONKey :: ToJSONKeyFunction Operator # toJSONKeyList :: ToJSONKeyFunction [Operator] #
FromJSON Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods parseJSON :: Value -> Parser Operator # parseJSONList :: Value -> Parser [Operator] #
FromJSONKey Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods fromJSONKey :: FromJSONKeyFunction Operator # fromJSONKeyList :: FromJSONKeyFunction [Operator] #
ToLog Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods build :: Operator -> ByteStringBuilder #
ToHeader Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toHeader :: HeaderName -> Operator -> [Header] #
ToQuery Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toQuery :: Operator -> QueryString #
FromXML Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods parseXML :: [Node] -> Either String Operator #
ToXML Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toXML :: Operator -> XML #
ToByteString Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toBS :: Operator -> ByteString #
FromText Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods fromText :: Text -> Either String Operator #
ToText Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator Methods toText :: Operator -> Text #
type Rep Operator Source #
Instance details Defined in Amazonka.SageMaker.Types.Operator type Rep Operator = D1 ('MetaData "Operator" "Amazonka.SageMaker.Types.Operator" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "Operator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOperator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

OrderKey

newtype OrderKey Source #

Constructors

OrderKey'
Fields fromOrderKey :: Text

Bundled Patterns

pattern OrderKey_Ascending :: OrderKey
pattern OrderKey_Descending :: OrderKey

Instances

Instances details

Eq OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods (==) :: OrderKey -> OrderKey -> Bool # (/=) :: OrderKey -> OrderKey -> Bool #
Ord OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods compare :: OrderKey -> OrderKey -> Ordering # (<) :: OrderKey -> OrderKey -> Bool # (<=) :: OrderKey -> OrderKey -> Bool # (>) :: OrderKey -> OrderKey -> Bool # (>=) :: OrderKey -> OrderKey -> Bool # max :: OrderKey -> OrderKey -> OrderKey # min :: OrderKey -> OrderKey -> OrderKey #
Read OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods readsPrec :: Int -> ReadS OrderKey # readList :: ReadS [OrderKey] # readPrec :: ReadPrec OrderKey # readListPrec :: ReadPrec [OrderKey] #
Show OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods showsPrec :: Int -> OrderKey -> ShowS # show :: OrderKey -> String # showList :: [OrderKey] -> ShowS #
Generic OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Associated Types type Rep OrderKey :: Type -> Type # Methods from :: OrderKey -> Rep OrderKey x # to :: Rep OrderKey x -> OrderKey #
NFData OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods rnf :: OrderKey -> () #
Hashable OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods hashWithSalt :: Int -> OrderKey -> Int # hash :: OrderKey -> Int #
ToJSON OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toJSON :: OrderKey -> Value # toEncoding :: OrderKey -> Encoding # toJSONList :: [OrderKey] -> Value # toEncodingList :: [OrderKey] -> Encoding #
ToJSONKey OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toJSONKey :: ToJSONKeyFunction OrderKey # toJSONKeyList :: ToJSONKeyFunction [OrderKey] #
FromJSON OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods parseJSON :: Value -> Parser OrderKey # parseJSONList :: Value -> Parser [OrderKey] #
FromJSONKey OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods fromJSONKey :: FromJSONKeyFunction OrderKey # fromJSONKeyList :: FromJSONKeyFunction [OrderKey] #
ToLog OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods build :: OrderKey -> ByteStringBuilder #
ToHeader OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toHeader :: HeaderName -> OrderKey -> [Header] #
ToQuery OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toQuery :: OrderKey -> QueryString #
FromXML OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods parseXML :: [Node] -> Either String OrderKey #
ToXML OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toXML :: OrderKey -> XML #
ToByteString OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toBS :: OrderKey -> ByteString #
FromText OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods fromText :: Text -> Either String OrderKey #
ToText OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey Methods toText :: OrderKey -> Text #
type Rep OrderKey Source #
Instance details Defined in Amazonka.SageMaker.Types.OrderKey type Rep OrderKey = D1 ('MetaData "OrderKey" "Amazonka.SageMaker.Types.OrderKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "OrderKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOrderKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ParameterType

newtype ParameterType Source #

Constructors

ParameterType'
Fields fromParameterType :: Text

Bundled Patterns

pattern ParameterType_Categorical :: ParameterType
pattern ParameterType_Continuous :: ParameterType
pattern ParameterType_FreeText :: ParameterType
pattern ParameterType_Integer :: ParameterType

Instances

Instances details

Eq ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods (==) :: ParameterType -> ParameterType -> Bool # (/=) :: ParameterType -> ParameterType -> Bool #
Ord ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods compare :: ParameterType -> ParameterType -> Ordering # (<) :: ParameterType -> ParameterType -> Bool # (<=) :: ParameterType -> ParameterType -> Bool # (>) :: ParameterType -> ParameterType -> Bool # (>=) :: ParameterType -> ParameterType -> Bool # max :: ParameterType -> ParameterType -> ParameterType # min :: ParameterType -> ParameterType -> ParameterType #
Read ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods readsPrec :: Int -> ReadS ParameterType # readList :: ReadS [ParameterType] # readPrec :: ReadPrec ParameterType # readListPrec :: ReadPrec [ParameterType] #
Show ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods showsPrec :: Int -> ParameterType -> ShowS # show :: ParameterType -> String # showList :: [ParameterType] -> ShowS #
Generic ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Associated Types type Rep ParameterType :: Type -> Type # Methods from :: ParameterType -> Rep ParameterType x # to :: Rep ParameterType x -> ParameterType #
NFData ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods rnf :: ParameterType -> () #
Hashable ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods hashWithSalt :: Int -> ParameterType -> Int # hash :: ParameterType -> Int #
ToJSON ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toJSON :: ParameterType -> Value # toEncoding :: ParameterType -> Encoding # toJSONList :: [ParameterType] -> Value # toEncodingList :: [ParameterType] -> Encoding #
ToJSONKey ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toJSONKey :: ToJSONKeyFunction ParameterType # toJSONKeyList :: ToJSONKeyFunction [ParameterType] #
FromJSON ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods parseJSON :: Value -> Parser ParameterType # parseJSONList :: Value -> Parser [ParameterType] #
FromJSONKey ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods fromJSONKey :: FromJSONKeyFunction ParameterType # fromJSONKeyList :: FromJSONKeyFunction [ParameterType] #
ToLog ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods build :: ParameterType -> ByteStringBuilder #
ToHeader ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toHeader :: HeaderName -> ParameterType -> [Header] #
ToQuery ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toQuery :: ParameterType -> QueryString #
FromXML ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods parseXML :: [Node] -> Either String ParameterType #
ToXML ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toXML :: ParameterType -> XML #
ToByteString ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toBS :: ParameterType -> ByteString #
FromText ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods fromText :: Text -> Either String ParameterType #
ToText ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType Methods toText :: ParameterType -> Text #
type Rep ParameterType Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterType type Rep ParameterType = D1 ('MetaData "ParameterType" "Amazonka.SageMaker.Types.ParameterType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ParameterType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromParameterType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PipelineExecutionStatus

newtype PipelineExecutionStatus Source #

Constructors

PipelineExecutionStatus'
Fields fromPipelineExecutionStatus :: Text

Bundled Patterns

pattern PipelineExecutionStatus_Executing :: PipelineExecutionStatus
pattern PipelineExecutionStatus_Failed :: PipelineExecutionStatus
pattern PipelineExecutionStatus_Stopped :: PipelineExecutionStatus
pattern PipelineExecutionStatus_Stopping :: PipelineExecutionStatus
pattern PipelineExecutionStatus_Succeeded :: PipelineExecutionStatus

Instances

Instances details

Eq PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods (==) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool # (/=) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #
Ord PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods compare :: PipelineExecutionStatus -> PipelineExecutionStatus -> Ordering # (<) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool # (<=) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool # (>) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool # (>=) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool # max :: PipelineExecutionStatus -> PipelineExecutionStatus -> PipelineExecutionStatus # min :: PipelineExecutionStatus -> PipelineExecutionStatus -> PipelineExecutionStatus #
Read PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods readsPrec :: Int -> ReadS PipelineExecutionStatus # readList :: ReadS [PipelineExecutionStatus] # readPrec :: ReadPrec PipelineExecutionStatus # readListPrec :: ReadPrec [PipelineExecutionStatus] #
Show PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods showsPrec :: Int -> PipelineExecutionStatus -> ShowS # show :: PipelineExecutionStatus -> String # showList :: [PipelineExecutionStatus] -> ShowS #
Generic PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Associated Types type Rep PipelineExecutionStatus :: Type -> Type # Methods from :: PipelineExecutionStatus -> Rep PipelineExecutionStatus x # to :: Rep PipelineExecutionStatus x -> PipelineExecutionStatus #
NFData PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods rnf :: PipelineExecutionStatus -> () #
Hashable PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods hashWithSalt :: Int -> PipelineExecutionStatus -> Int # hash :: PipelineExecutionStatus -> Int #
ToJSON PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toJSON :: PipelineExecutionStatus -> Value # toEncoding :: PipelineExecutionStatus -> Encoding # toJSONList :: [PipelineExecutionStatus] -> Value # toEncodingList :: [PipelineExecutionStatus] -> Encoding #
ToJSONKey PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toJSONKey :: ToJSONKeyFunction PipelineExecutionStatus # toJSONKeyList :: ToJSONKeyFunction [PipelineExecutionStatus] #
FromJSON PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods parseJSON :: Value -> Parser PipelineExecutionStatus # parseJSONList :: Value -> Parser [PipelineExecutionStatus] #
FromJSONKey PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods fromJSONKey :: FromJSONKeyFunction PipelineExecutionStatus # fromJSONKeyList :: FromJSONKeyFunction [PipelineExecutionStatus] #
ToLog PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods build :: PipelineExecutionStatus -> ByteStringBuilder #
ToHeader PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toHeader :: HeaderName -> PipelineExecutionStatus -> [Header] #
ToQuery PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toQuery :: PipelineExecutionStatus -> QueryString #
FromXML PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods parseXML :: [Node] -> Either String PipelineExecutionStatus #
ToXML PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toXML :: PipelineExecutionStatus -> XML #
ToByteString PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toBS :: PipelineExecutionStatus -> ByteString #
FromText PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods fromText :: Text -> Either String PipelineExecutionStatus #
ToText PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus Methods toText :: PipelineExecutionStatus -> Text #
type Rep PipelineExecutionStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus type Rep PipelineExecutionStatus = D1 ('MetaData "PipelineExecutionStatus" "Amazonka.SageMaker.Types.PipelineExecutionStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "PipelineExecutionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPipelineExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PipelineStatus

newtype PipelineStatus Source #

Constructors

PipelineStatus'
Fields fromPipelineStatus :: Text

Bundled Patterns

pattern PipelineStatus_Active :: PipelineStatus

Instances

Instances details

Eq PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods (==) :: PipelineStatus -> PipelineStatus -> Bool # (/=) :: PipelineStatus -> PipelineStatus -> Bool #
Ord PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods compare :: PipelineStatus -> PipelineStatus -> Ordering # (<) :: PipelineStatus -> PipelineStatus -> Bool # (<=) :: PipelineStatus -> PipelineStatus -> Bool # (>) :: PipelineStatus -> PipelineStatus -> Bool # (>=) :: PipelineStatus -> PipelineStatus -> Bool # max :: PipelineStatus -> PipelineStatus -> PipelineStatus # min :: PipelineStatus -> PipelineStatus -> PipelineStatus #
Read PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods readsPrec :: Int -> ReadS PipelineStatus # readList :: ReadS [PipelineStatus] # readPrec :: ReadPrec PipelineStatus # readListPrec :: ReadPrec [PipelineStatus] #
Show PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods showsPrec :: Int -> PipelineStatus -> ShowS # show :: PipelineStatus -> String # showList :: [PipelineStatus] -> ShowS #
Generic PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Associated Types type Rep PipelineStatus :: Type -> Type # Methods from :: PipelineStatus -> Rep PipelineStatus x # to :: Rep PipelineStatus x -> PipelineStatus #
NFData PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods rnf :: PipelineStatus -> () #
Hashable PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods hashWithSalt :: Int -> PipelineStatus -> Int # hash :: PipelineStatus -> Int #
ToJSON PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toJSON :: PipelineStatus -> Value # toEncoding :: PipelineStatus -> Encoding # toJSONList :: [PipelineStatus] -> Value # toEncodingList :: [PipelineStatus] -> Encoding #
ToJSONKey PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toJSONKey :: ToJSONKeyFunction PipelineStatus # toJSONKeyList :: ToJSONKeyFunction [PipelineStatus] #
FromJSON PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods parseJSON :: Value -> Parser PipelineStatus # parseJSONList :: Value -> Parser [PipelineStatus] #
FromJSONKey PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods fromJSONKey :: FromJSONKeyFunction PipelineStatus # fromJSONKeyList :: FromJSONKeyFunction [PipelineStatus] #
ToLog PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods build :: PipelineStatus -> ByteStringBuilder #
ToHeader PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toHeader :: HeaderName -> PipelineStatus -> [Header] #
ToQuery PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toQuery :: PipelineStatus -> QueryString #
FromXML PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods parseXML :: [Node] -> Either String PipelineStatus #
ToXML PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toXML :: PipelineStatus -> XML #
ToByteString PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toBS :: PipelineStatus -> ByteString #
FromText PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods fromText :: Text -> Either String PipelineStatus #
ToText PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus Methods toText :: PipelineStatus -> Text #
type Rep PipelineStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineStatus type Rep PipelineStatus = D1 ('MetaData "PipelineStatus" "Amazonka.SageMaker.Types.PipelineStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "PipelineStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPipelineStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProblemType

newtype ProblemType Source #

Constructors

ProblemType'
Fields fromProblemType :: Text

Bundled Patterns

pattern ProblemType_BinaryClassification :: ProblemType
pattern ProblemType_MulticlassClassification :: ProblemType
pattern ProblemType_Regression :: ProblemType

Instances

Instances details

Eq ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods (==) :: ProblemType -> ProblemType -> Bool # (/=) :: ProblemType -> ProblemType -> Bool #
Ord ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods compare :: ProblemType -> ProblemType -> Ordering # (<) :: ProblemType -> ProblemType -> Bool # (<=) :: ProblemType -> ProblemType -> Bool # (>) :: ProblemType -> ProblemType -> Bool # (>=) :: ProblemType -> ProblemType -> Bool # max :: ProblemType -> ProblemType -> ProblemType # min :: ProblemType -> ProblemType -> ProblemType #
Read ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods readsPrec :: Int -> ReadS ProblemType # readList :: ReadS [ProblemType] # readPrec :: ReadPrec ProblemType # readListPrec :: ReadPrec [ProblemType] #
Show ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods showsPrec :: Int -> ProblemType -> ShowS # show :: ProblemType -> String # showList :: [ProblemType] -> ShowS #
Generic ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Associated Types type Rep ProblemType :: Type -> Type # Methods from :: ProblemType -> Rep ProblemType x # to :: Rep ProblemType x -> ProblemType #
NFData ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods rnf :: ProblemType -> () #
Hashable ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods hashWithSalt :: Int -> ProblemType -> Int # hash :: ProblemType -> Int #
ToJSON ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toJSON :: ProblemType -> Value # toEncoding :: ProblemType -> Encoding # toJSONList :: [ProblemType] -> Value # toEncodingList :: [ProblemType] -> Encoding #
ToJSONKey ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toJSONKey :: ToJSONKeyFunction ProblemType # toJSONKeyList :: ToJSONKeyFunction [ProblemType] #
FromJSON ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods parseJSON :: Value -> Parser ProblemType # parseJSONList :: Value -> Parser [ProblemType] #
FromJSONKey ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods fromJSONKey :: FromJSONKeyFunction ProblemType # fromJSONKeyList :: FromJSONKeyFunction [ProblemType] #
ToLog ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods build :: ProblemType -> ByteStringBuilder #
ToHeader ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toHeader :: HeaderName -> ProblemType -> [Header] #
ToQuery ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toQuery :: ProblemType -> QueryString #
FromXML ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods parseXML :: [Node] -> Either String ProblemType #
ToXML ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toXML :: ProblemType -> XML #
ToByteString ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toBS :: ProblemType -> ByteString #
FromText ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods fromText :: Text -> Either String ProblemType #
ToText ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType Methods toText :: ProblemType -> Text #
type Rep ProblemType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProblemType type Rep ProblemType = D1 ('MetaData "ProblemType" "Amazonka.SageMaker.Types.ProblemType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProblemType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProblemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingInstanceType

newtype ProcessingInstanceType Source #

Constructors

ProcessingInstanceType'
Fields fromProcessingInstanceType :: Text

Bundled Patterns

pattern ProcessingInstanceType_Ml_c4_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c4_4xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c4_8xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c4_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c5_18xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c5_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c5_4xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c5_9xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_c5_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_g4dn_12xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_g4dn_16xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_g4dn_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_g4dn_4xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_g4dn_8xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_g4dn_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m4_10xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m4_16xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m4_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m4_4xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m4_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m5_12xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m5_24xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m5_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m5_4xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m5_large :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_m5_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_p2_16xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_p2_8xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_p2_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_p3_16xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_p3_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_p3_8xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_12xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_16xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_24xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_4xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_8xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_large :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_r5_xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_t3_2xlarge :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_t3_large :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_t3_medium :: ProcessingInstanceType
pattern ProcessingInstanceType_Ml_t3_xlarge :: ProcessingInstanceType

Instances

Instances details

Eq ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods (==) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool # (/=) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #
Ord ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods compare :: ProcessingInstanceType -> ProcessingInstanceType -> Ordering # (<) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool # (<=) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool # (>) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool # (>=) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool # max :: ProcessingInstanceType -> ProcessingInstanceType -> ProcessingInstanceType # min :: ProcessingInstanceType -> ProcessingInstanceType -> ProcessingInstanceType #
Read ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods readsPrec :: Int -> ReadS ProcessingInstanceType # readList :: ReadS [ProcessingInstanceType] # readPrec :: ReadPrec ProcessingInstanceType # readListPrec :: ReadPrec [ProcessingInstanceType] #
Show ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods showsPrec :: Int -> ProcessingInstanceType -> ShowS # show :: ProcessingInstanceType -> String # showList :: [ProcessingInstanceType] -> ShowS #
Generic ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Associated Types type Rep ProcessingInstanceType :: Type -> Type # Methods from :: ProcessingInstanceType -> Rep ProcessingInstanceType x # to :: Rep ProcessingInstanceType x -> ProcessingInstanceType #
NFData ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods rnf :: ProcessingInstanceType -> () #
Hashable ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods hashWithSalt :: Int -> ProcessingInstanceType -> Int # hash :: ProcessingInstanceType -> Int #
ToJSON ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toJSON :: ProcessingInstanceType -> Value # toEncoding :: ProcessingInstanceType -> Encoding # toJSONList :: [ProcessingInstanceType] -> Value # toEncodingList :: [ProcessingInstanceType] -> Encoding #
ToJSONKey ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toJSONKey :: ToJSONKeyFunction ProcessingInstanceType # toJSONKeyList :: ToJSONKeyFunction [ProcessingInstanceType] #
FromJSON ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods parseJSON :: Value -> Parser ProcessingInstanceType # parseJSONList :: Value -> Parser [ProcessingInstanceType] #
FromJSONKey ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods fromJSONKey :: FromJSONKeyFunction ProcessingInstanceType # fromJSONKeyList :: FromJSONKeyFunction [ProcessingInstanceType] #
ToLog ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods build :: ProcessingInstanceType -> ByteStringBuilder #
ToHeader ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toHeader :: HeaderName -> ProcessingInstanceType -> [Header] #
ToQuery ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toQuery :: ProcessingInstanceType -> QueryString #
FromXML ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods parseXML :: [Node] -> Either String ProcessingInstanceType #
ToXML ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toXML :: ProcessingInstanceType -> XML #
ToByteString ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toBS :: ProcessingInstanceType -> ByteString #
FromText ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods fromText :: Text -> Either String ProcessingInstanceType #
ToText ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType Methods toText :: ProcessingInstanceType -> Text #
type Rep ProcessingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInstanceType type Rep ProcessingInstanceType = D1 ('MetaData "ProcessingInstanceType" "Amazonka.SageMaker.Types.ProcessingInstanceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingJobStatus

newtype ProcessingJobStatus Source #

Constructors

ProcessingJobStatus'
Fields fromProcessingJobStatus :: Text

Bundled Patterns

pattern ProcessingJobStatus_Completed :: ProcessingJobStatus
pattern ProcessingJobStatus_Failed :: ProcessingJobStatus
pattern ProcessingJobStatus_InProgress :: ProcessingJobStatus
pattern ProcessingJobStatus_Stopped :: ProcessingJobStatus
pattern ProcessingJobStatus_Stopping :: ProcessingJobStatus

Instances

Instances details

Eq ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods (==) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool # (/=) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #
Ord ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods compare :: ProcessingJobStatus -> ProcessingJobStatus -> Ordering # (<) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool # (<=) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool # (>) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool # (>=) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool # max :: ProcessingJobStatus -> ProcessingJobStatus -> ProcessingJobStatus # min :: ProcessingJobStatus -> ProcessingJobStatus -> ProcessingJobStatus #
Read ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods readsPrec :: Int -> ReadS ProcessingJobStatus # readList :: ReadS [ProcessingJobStatus] # readPrec :: ReadPrec ProcessingJobStatus # readListPrec :: ReadPrec [ProcessingJobStatus] #
Show ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods showsPrec :: Int -> ProcessingJobStatus -> ShowS # show :: ProcessingJobStatus -> String # showList :: [ProcessingJobStatus] -> ShowS #
Generic ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Associated Types type Rep ProcessingJobStatus :: Type -> Type # Methods from :: ProcessingJobStatus -> Rep ProcessingJobStatus x # to :: Rep ProcessingJobStatus x -> ProcessingJobStatus #
NFData ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods rnf :: ProcessingJobStatus -> () #
Hashable ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods hashWithSalt :: Int -> ProcessingJobStatus -> Int # hash :: ProcessingJobStatus -> Int #
ToJSON ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toJSON :: ProcessingJobStatus -> Value # toEncoding :: ProcessingJobStatus -> Encoding # toJSONList :: [ProcessingJobStatus] -> Value # toEncodingList :: [ProcessingJobStatus] -> Encoding #
ToJSONKey ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toJSONKey :: ToJSONKeyFunction ProcessingJobStatus # toJSONKeyList :: ToJSONKeyFunction [ProcessingJobStatus] #
FromJSON ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods parseJSON :: Value -> Parser ProcessingJobStatus # parseJSONList :: Value -> Parser [ProcessingJobStatus] #
FromJSONKey ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods fromJSONKey :: FromJSONKeyFunction ProcessingJobStatus # fromJSONKeyList :: FromJSONKeyFunction [ProcessingJobStatus] #
ToLog ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods build :: ProcessingJobStatus -> ByteStringBuilder #
ToHeader ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toHeader :: HeaderName -> ProcessingJobStatus -> [Header] #
ToQuery ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toQuery :: ProcessingJobStatus -> QueryString #
FromXML ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods parseXML :: [Node] -> Either String ProcessingJobStatus #
ToXML ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toXML :: ProcessingJobStatus -> XML #
ToByteString ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toBS :: ProcessingJobStatus -> ByteString #
FromText ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods fromText :: Text -> Either String ProcessingJobStatus #
ToText ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus Methods toText :: ProcessingJobStatus -> Text #
type Rep ProcessingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStatus type Rep ProcessingJobStatus = D1 ('MetaData "ProcessingJobStatus" "Amazonka.SageMaker.Types.ProcessingJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3CompressionType

newtype ProcessingS3CompressionType Source #

Constructors

ProcessingS3CompressionType'
Fields fromProcessingS3CompressionType :: Text

Bundled Patterns

pattern ProcessingS3CompressionType_Gzip :: ProcessingS3CompressionType
pattern ProcessingS3CompressionType_None :: ProcessingS3CompressionType

Instances

Instances details

Eq ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods (==) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool # (/=) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #
Ord ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods compare :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Ordering # (<) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool # (<=) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool # (>) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool # (>=) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool # max :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> ProcessingS3CompressionType # min :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> ProcessingS3CompressionType #
Read ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods readsPrec :: Int -> ReadS ProcessingS3CompressionType # readList :: ReadS [ProcessingS3CompressionType] # readPrec :: ReadPrec ProcessingS3CompressionType # readListPrec :: ReadPrec [ProcessingS3CompressionType] #
Show ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods showsPrec :: Int -> ProcessingS3CompressionType -> ShowS # show :: ProcessingS3CompressionType -> String # showList :: [ProcessingS3CompressionType] -> ShowS #
Generic ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Associated Types type Rep ProcessingS3CompressionType :: Type -> Type # Methods from :: ProcessingS3CompressionType -> Rep ProcessingS3CompressionType x # to :: Rep ProcessingS3CompressionType x -> ProcessingS3CompressionType #
NFData ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods rnf :: ProcessingS3CompressionType -> () #
Hashable ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods hashWithSalt :: Int -> ProcessingS3CompressionType -> Int # hash :: ProcessingS3CompressionType -> Int #
ToJSON ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toJSON :: ProcessingS3CompressionType -> Value # toEncoding :: ProcessingS3CompressionType -> Encoding # toJSONList :: [ProcessingS3CompressionType] -> Value # toEncodingList :: [ProcessingS3CompressionType] -> Encoding #
ToJSONKey ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toJSONKey :: ToJSONKeyFunction ProcessingS3CompressionType # toJSONKeyList :: ToJSONKeyFunction [ProcessingS3CompressionType] #
FromJSON ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods parseJSON :: Value -> Parser ProcessingS3CompressionType # parseJSONList :: Value -> Parser [ProcessingS3CompressionType] #
FromJSONKey ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods fromJSONKey :: FromJSONKeyFunction ProcessingS3CompressionType # fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3CompressionType] #
ToLog ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods build :: ProcessingS3CompressionType -> ByteStringBuilder #
ToHeader ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toHeader :: HeaderName -> ProcessingS3CompressionType -> [Header] #
ToQuery ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toQuery :: ProcessingS3CompressionType -> QueryString #
FromXML ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods parseXML :: [Node] -> Either String ProcessingS3CompressionType #
ToXML ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toXML :: ProcessingS3CompressionType -> XML #
ToByteString ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toBS :: ProcessingS3CompressionType -> ByteString #
FromText ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods fromText :: Text -> Either String ProcessingS3CompressionType #
ToText ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType Methods toText :: ProcessingS3CompressionType -> Text #
type Rep ProcessingS3CompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType type Rep ProcessingS3CompressionType = D1 ('MetaData "ProcessingS3CompressionType" "Amazonka.SageMaker.Types.ProcessingS3CompressionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingS3CompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3CompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3DataDistributionType

newtype ProcessingS3DataDistributionType Source #

Constructors

ProcessingS3DataDistributionType'
Fields fromProcessingS3DataDistributionType :: Text

Bundled Patterns

pattern ProcessingS3DataDistributionType_FullyReplicated :: ProcessingS3DataDistributionType
pattern ProcessingS3DataDistributionType_ShardedByS3Key :: ProcessingS3DataDistributionType

Instances

Instances details

Eq ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods (==) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool # (/=) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #
Ord ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods compare :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Ordering # (<) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool # (<=) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool # (>) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool # (>=) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool # max :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType # min :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType #
Read ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods readsPrec :: Int -> ReadS ProcessingS3DataDistributionType # readList :: ReadS [ProcessingS3DataDistributionType] # readPrec :: ReadPrec ProcessingS3DataDistributionType # readListPrec :: ReadPrec [ProcessingS3DataDistributionType] #
Show ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods showsPrec :: Int -> ProcessingS3DataDistributionType -> ShowS # show :: ProcessingS3DataDistributionType -> String # showList :: [ProcessingS3DataDistributionType] -> ShowS #
Generic ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Associated Types type Rep ProcessingS3DataDistributionType :: Type -> Type # Methods from :: ProcessingS3DataDistributionType -> Rep ProcessingS3DataDistributionType x # to :: Rep ProcessingS3DataDistributionType x -> ProcessingS3DataDistributionType #
NFData ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods rnf :: ProcessingS3DataDistributionType -> () #
Hashable ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods hashWithSalt :: Int -> ProcessingS3DataDistributionType -> Int # hash :: ProcessingS3DataDistributionType -> Int #
ToJSON ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toJSON :: ProcessingS3DataDistributionType -> Value # toEncoding :: ProcessingS3DataDistributionType -> Encoding # toJSONList :: [ProcessingS3DataDistributionType] -> Value # toEncodingList :: [ProcessingS3DataDistributionType] -> Encoding #
ToJSONKey ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toJSONKey :: ToJSONKeyFunction ProcessingS3DataDistributionType # toJSONKeyList :: ToJSONKeyFunction [ProcessingS3DataDistributionType] #
FromJSON ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods parseJSON :: Value -> Parser ProcessingS3DataDistributionType # parseJSONList :: Value -> Parser [ProcessingS3DataDistributionType] #
FromJSONKey ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods fromJSONKey :: FromJSONKeyFunction ProcessingS3DataDistributionType # fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3DataDistributionType] #
ToLog ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods build :: ProcessingS3DataDistributionType -> ByteStringBuilder #
ToHeader ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toHeader :: HeaderName -> ProcessingS3DataDistributionType -> [Header] #
ToQuery ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toQuery :: ProcessingS3DataDistributionType -> QueryString #
FromXML ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods parseXML :: [Node] -> Either String ProcessingS3DataDistributionType #
ToXML ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toXML :: ProcessingS3DataDistributionType -> XML #
ToByteString ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toBS :: ProcessingS3DataDistributionType -> ByteString #
FromText ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods fromText :: Text -> Either String ProcessingS3DataDistributionType #
ToText ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType Methods toText :: ProcessingS3DataDistributionType -> Text #
type Rep ProcessingS3DataDistributionType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType type Rep ProcessingS3DataDistributionType = D1 ('MetaData "ProcessingS3DataDistributionType" "Amazonka.SageMaker.Types.ProcessingS3DataDistributionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingS3DataDistributionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3DataType

newtype ProcessingS3DataType Source #

Constructors

ProcessingS3DataType'
Fields fromProcessingS3DataType :: Text

Bundled Patterns

pattern ProcessingS3DataType_ManifestFile :: ProcessingS3DataType
pattern ProcessingS3DataType_S3Prefix :: ProcessingS3DataType

Instances

Instances details

Eq ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods (==) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool # (/=) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #
Ord ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods compare :: ProcessingS3DataType -> ProcessingS3DataType -> Ordering # (<) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool # (<=) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool # (>) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool # (>=) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool # max :: ProcessingS3DataType -> ProcessingS3DataType -> ProcessingS3DataType # min :: ProcessingS3DataType -> ProcessingS3DataType -> ProcessingS3DataType #
Read ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods readsPrec :: Int -> ReadS ProcessingS3DataType # readList :: ReadS [ProcessingS3DataType] # readPrec :: ReadPrec ProcessingS3DataType # readListPrec :: ReadPrec [ProcessingS3DataType] #
Show ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods showsPrec :: Int -> ProcessingS3DataType -> ShowS # show :: ProcessingS3DataType -> String # showList :: [ProcessingS3DataType] -> ShowS #
Generic ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Associated Types type Rep ProcessingS3DataType :: Type -> Type # Methods from :: ProcessingS3DataType -> Rep ProcessingS3DataType x # to :: Rep ProcessingS3DataType x -> ProcessingS3DataType #
NFData ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods rnf :: ProcessingS3DataType -> () #
Hashable ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods hashWithSalt :: Int -> ProcessingS3DataType -> Int # hash :: ProcessingS3DataType -> Int #
ToJSON ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toJSON :: ProcessingS3DataType -> Value # toEncoding :: ProcessingS3DataType -> Encoding # toJSONList :: [ProcessingS3DataType] -> Value # toEncodingList :: [ProcessingS3DataType] -> Encoding #
ToJSONKey ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toJSONKey :: ToJSONKeyFunction ProcessingS3DataType # toJSONKeyList :: ToJSONKeyFunction [ProcessingS3DataType] #
FromJSON ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods parseJSON :: Value -> Parser ProcessingS3DataType # parseJSONList :: Value -> Parser [ProcessingS3DataType] #
FromJSONKey ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods fromJSONKey :: FromJSONKeyFunction ProcessingS3DataType # fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3DataType] #
ToLog ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods build :: ProcessingS3DataType -> ByteStringBuilder #
ToHeader ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toHeader :: HeaderName -> ProcessingS3DataType -> [Header] #
ToQuery ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toQuery :: ProcessingS3DataType -> QueryString #
FromXML ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods parseXML :: [Node] -> Either String ProcessingS3DataType #
ToXML ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toXML :: ProcessingS3DataType -> XML #
ToByteString ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toBS :: ProcessingS3DataType -> ByteString #
FromText ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods fromText :: Text -> Either String ProcessingS3DataType #
ToText ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType Methods toText :: ProcessingS3DataType -> Text #
type Rep ProcessingS3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3DataType type Rep ProcessingS3DataType = D1 ('MetaData "ProcessingS3DataType" "Amazonka.SageMaker.Types.ProcessingS3DataType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingS3DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3InputMode

newtype ProcessingS3InputMode Source #

Constructors

ProcessingS3InputMode'
Fields fromProcessingS3InputMode :: Text

Bundled Patterns

pattern ProcessingS3InputMode_File :: ProcessingS3InputMode
pattern ProcessingS3InputMode_Pipe :: ProcessingS3InputMode

Instances

Instances details

Eq ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods (==) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool # (/=) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #
Ord ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods compare :: ProcessingS3InputMode -> ProcessingS3InputMode -> Ordering # (<) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool # (<=) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool # (>) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool # (>=) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool # max :: ProcessingS3InputMode -> ProcessingS3InputMode -> ProcessingS3InputMode # min :: ProcessingS3InputMode -> ProcessingS3InputMode -> ProcessingS3InputMode #
Read ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods readsPrec :: Int -> ReadS ProcessingS3InputMode # readList :: ReadS [ProcessingS3InputMode] # readPrec :: ReadPrec ProcessingS3InputMode # readListPrec :: ReadPrec [ProcessingS3InputMode] #
Show ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods showsPrec :: Int -> ProcessingS3InputMode -> ShowS # show :: ProcessingS3InputMode -> String # showList :: [ProcessingS3InputMode] -> ShowS #
Generic ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Associated Types type Rep ProcessingS3InputMode :: Type -> Type # Methods from :: ProcessingS3InputMode -> Rep ProcessingS3InputMode x # to :: Rep ProcessingS3InputMode x -> ProcessingS3InputMode #
NFData ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods rnf :: ProcessingS3InputMode -> () #
Hashable ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods hashWithSalt :: Int -> ProcessingS3InputMode -> Int # hash :: ProcessingS3InputMode -> Int #
ToJSON ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toJSON :: ProcessingS3InputMode -> Value # toEncoding :: ProcessingS3InputMode -> Encoding # toJSONList :: [ProcessingS3InputMode] -> Value # toEncodingList :: [ProcessingS3InputMode] -> Encoding #
ToJSONKey ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toJSONKey :: ToJSONKeyFunction ProcessingS3InputMode # toJSONKeyList :: ToJSONKeyFunction [ProcessingS3InputMode] #
FromJSON ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods parseJSON :: Value -> Parser ProcessingS3InputMode # parseJSONList :: Value -> Parser [ProcessingS3InputMode] #
FromJSONKey ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods fromJSONKey :: FromJSONKeyFunction ProcessingS3InputMode # fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3InputMode] #
ToLog ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods build :: ProcessingS3InputMode -> ByteStringBuilder #
ToHeader ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toHeader :: HeaderName -> ProcessingS3InputMode -> [Header] #
ToQuery ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toQuery :: ProcessingS3InputMode -> QueryString #
FromXML ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods parseXML :: [Node] -> Either String ProcessingS3InputMode #
ToXML ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toXML :: ProcessingS3InputMode -> XML #
ToByteString ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toBS :: ProcessingS3InputMode -> ByteString #
FromText ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods fromText :: Text -> Either String ProcessingS3InputMode #
ToText ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode Methods toText :: ProcessingS3InputMode -> Text #
type Rep ProcessingS3InputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode type Rep ProcessingS3InputMode = D1 ('MetaData "ProcessingS3InputMode" "Amazonka.SageMaker.Types.ProcessingS3InputMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingS3InputMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3UploadMode

newtype ProcessingS3UploadMode Source #

Constructors

ProcessingS3UploadMode'
Fields fromProcessingS3UploadMode :: Text

Bundled Patterns

pattern ProcessingS3UploadMode_Continuous :: ProcessingS3UploadMode
pattern ProcessingS3UploadMode_EndOfJob :: ProcessingS3UploadMode

Instances

Instances details

Eq ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods (==) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool # (/=) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #
Ord ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods compare :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Ordering # (<) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool # (<=) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool # (>) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool # (>=) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool # max :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> ProcessingS3UploadMode # min :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> ProcessingS3UploadMode #
Read ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods readsPrec :: Int -> ReadS ProcessingS3UploadMode # readList :: ReadS [ProcessingS3UploadMode] # readPrec :: ReadPrec ProcessingS3UploadMode # readListPrec :: ReadPrec [ProcessingS3UploadMode] #
Show ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods showsPrec :: Int -> ProcessingS3UploadMode -> ShowS # show :: ProcessingS3UploadMode -> String # showList :: [ProcessingS3UploadMode] -> ShowS #
Generic ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Associated Types type Rep ProcessingS3UploadMode :: Type -> Type # Methods from :: ProcessingS3UploadMode -> Rep ProcessingS3UploadMode x # to :: Rep ProcessingS3UploadMode x -> ProcessingS3UploadMode #
NFData ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods rnf :: ProcessingS3UploadMode -> () #
Hashable ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods hashWithSalt :: Int -> ProcessingS3UploadMode -> Int # hash :: ProcessingS3UploadMode -> Int #
ToJSON ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toJSON :: ProcessingS3UploadMode -> Value # toEncoding :: ProcessingS3UploadMode -> Encoding # toJSONList :: [ProcessingS3UploadMode] -> Value # toEncodingList :: [ProcessingS3UploadMode] -> Encoding #
ToJSONKey ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toJSONKey :: ToJSONKeyFunction ProcessingS3UploadMode # toJSONKeyList :: ToJSONKeyFunction [ProcessingS3UploadMode] #
FromJSON ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods parseJSON :: Value -> Parser ProcessingS3UploadMode # parseJSONList :: Value -> Parser [ProcessingS3UploadMode] #
FromJSONKey ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods fromJSONKey :: FromJSONKeyFunction ProcessingS3UploadMode # fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3UploadMode] #
ToLog ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods build :: ProcessingS3UploadMode -> ByteStringBuilder #
ToHeader ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toHeader :: HeaderName -> ProcessingS3UploadMode -> [Header] #
ToQuery ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toQuery :: ProcessingS3UploadMode -> QueryString #
FromXML ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods parseXML :: [Node] -> Either String ProcessingS3UploadMode #
ToXML ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toXML :: ProcessingS3UploadMode -> XML #
ToByteString ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toBS :: ProcessingS3UploadMode -> ByteString #
FromText ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods fromText :: Text -> Either String ProcessingS3UploadMode #
ToText ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode Methods toText :: ProcessingS3UploadMode -> Text #
type Rep ProcessingS3UploadMode Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode type Rep ProcessingS3UploadMode = D1 ('MetaData "ProcessingS3UploadMode" "Amazonka.SageMaker.Types.ProcessingS3UploadMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProcessingS3UploadMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3UploadMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProductionVariantAcceleratorType

newtype ProductionVariantAcceleratorType Source #

Constructors

ProductionVariantAcceleratorType'
Fields fromProductionVariantAcceleratorType :: Text

Bundled Patterns

pattern ProductionVariantAcceleratorType_Ml_eia1_large :: ProductionVariantAcceleratorType
pattern ProductionVariantAcceleratorType_Ml_eia1_medium :: ProductionVariantAcceleratorType
pattern ProductionVariantAcceleratorType_Ml_eia1_xlarge :: ProductionVariantAcceleratorType
pattern ProductionVariantAcceleratorType_Ml_eia2_large :: ProductionVariantAcceleratorType
pattern ProductionVariantAcceleratorType_Ml_eia2_medium :: ProductionVariantAcceleratorType
pattern ProductionVariantAcceleratorType_Ml_eia2_xlarge :: ProductionVariantAcceleratorType

Instances

Instances details

Eq ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods (==) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool # (/=) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #
Ord ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods compare :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Ordering # (<) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool # (<=) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool # (>) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool # (>=) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool # max :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType # min :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType #
Read ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods readsPrec :: Int -> ReadS ProductionVariantAcceleratorType # readList :: ReadS [ProductionVariantAcceleratorType] # readPrec :: ReadPrec ProductionVariantAcceleratorType # readListPrec :: ReadPrec [ProductionVariantAcceleratorType] #
Show ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods showsPrec :: Int -> ProductionVariantAcceleratorType -> ShowS # show :: ProductionVariantAcceleratorType -> String # showList :: [ProductionVariantAcceleratorType] -> ShowS #
Generic ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Associated Types type Rep ProductionVariantAcceleratorType :: Type -> Type # Methods from :: ProductionVariantAcceleratorType -> Rep ProductionVariantAcceleratorType x # to :: Rep ProductionVariantAcceleratorType x -> ProductionVariantAcceleratorType #
NFData ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods rnf :: ProductionVariantAcceleratorType -> () #
Hashable ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods hashWithSalt :: Int -> ProductionVariantAcceleratorType -> Int # hash :: ProductionVariantAcceleratorType -> Int #
ToJSON ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toJSON :: ProductionVariantAcceleratorType -> Value # toEncoding :: ProductionVariantAcceleratorType -> Encoding # toJSONList :: [ProductionVariantAcceleratorType] -> Value # toEncodingList :: [ProductionVariantAcceleratorType] -> Encoding #
ToJSONKey ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toJSONKey :: ToJSONKeyFunction ProductionVariantAcceleratorType # toJSONKeyList :: ToJSONKeyFunction [ProductionVariantAcceleratorType] #
FromJSON ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods parseJSON :: Value -> Parser ProductionVariantAcceleratorType # parseJSONList :: Value -> Parser [ProductionVariantAcceleratorType] #
FromJSONKey ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods fromJSONKey :: FromJSONKeyFunction ProductionVariantAcceleratorType # fromJSONKeyList :: FromJSONKeyFunction [ProductionVariantAcceleratorType] #
ToLog ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods build :: ProductionVariantAcceleratorType -> ByteStringBuilder #
ToHeader ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toHeader :: HeaderName -> ProductionVariantAcceleratorType -> [Header] #
ToQuery ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toQuery :: ProductionVariantAcceleratorType -> QueryString #
FromXML ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods parseXML :: [Node] -> Either String ProductionVariantAcceleratorType #
ToXML ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toXML :: ProductionVariantAcceleratorType -> XML #
ToByteString ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toBS :: ProductionVariantAcceleratorType -> ByteString #
FromText ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods fromText :: Text -> Either String ProductionVariantAcceleratorType #
ToText ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType Methods toText :: ProductionVariantAcceleratorType -> Text #
type Rep ProductionVariantAcceleratorType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType type Rep ProductionVariantAcceleratorType = D1 ('MetaData "ProductionVariantAcceleratorType" "Amazonka.SageMaker.Types.ProductionVariantAcceleratorType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProductionVariantAcceleratorType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProductionVariantAcceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProductionVariantInstanceType

newtype ProductionVariantInstanceType Source #

Constructors

ProductionVariantInstanceType'
Fields fromProductionVariantInstanceType :: Text

Bundled Patterns

pattern ProductionVariantInstanceType_Ml_c4_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c4_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c4_8xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c4_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c4_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5_18xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5_9xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5d_18xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5d_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5d_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5d_9xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5d_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_c5d_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_g4dn_12xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_g4dn_16xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_g4dn_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_g4dn_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_g4dn_8xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_g4dn_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_inf1_24xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_inf1_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_inf1_6xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_inf1_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m4_10xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m4_16xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m4_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m4_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m4_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5_12xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5_24xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5d_12xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5d_24xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5d_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5d_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5d_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_m5d_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_p2_16xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_p2_8xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_p2_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_p3_16xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_p3_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_p3_8xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5_12xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5_24xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5d_12xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5d_24xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5d_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5d_4xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5d_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_r5d_xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_t2_2xlarge :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_t2_large :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_t2_medium :: ProductionVariantInstanceType
pattern ProductionVariantInstanceType_Ml_t2_xlarge :: ProductionVariantInstanceType

Instances

Instances details

Eq ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods (==) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool # (/=) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #
Ord ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods compare :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Ordering # (<) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool # (<=) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool # (>) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool # (>=) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool # max :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> ProductionVariantInstanceType # min :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> ProductionVariantInstanceType #
Read ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods readsPrec :: Int -> ReadS ProductionVariantInstanceType # readList :: ReadS [ProductionVariantInstanceType] # readPrec :: ReadPrec ProductionVariantInstanceType # readListPrec :: ReadPrec [ProductionVariantInstanceType] #
Show ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods showsPrec :: Int -> ProductionVariantInstanceType -> ShowS # show :: ProductionVariantInstanceType -> String # showList :: [ProductionVariantInstanceType] -> ShowS #
Generic ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Associated Types type Rep ProductionVariantInstanceType :: Type -> Type # Methods from :: ProductionVariantInstanceType -> Rep ProductionVariantInstanceType x # to :: Rep ProductionVariantInstanceType x -> ProductionVariantInstanceType #
NFData ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods rnf :: ProductionVariantInstanceType -> () #
Hashable ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods hashWithSalt :: Int -> ProductionVariantInstanceType -> Int # hash :: ProductionVariantInstanceType -> Int #
ToJSON ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toJSON :: ProductionVariantInstanceType -> Value # toEncoding :: ProductionVariantInstanceType -> Encoding # toJSONList :: [ProductionVariantInstanceType] -> Value # toEncodingList :: [ProductionVariantInstanceType] -> Encoding #
ToJSONKey ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toJSONKey :: ToJSONKeyFunction ProductionVariantInstanceType # toJSONKeyList :: ToJSONKeyFunction [ProductionVariantInstanceType] #
FromJSON ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods parseJSON :: Value -> Parser ProductionVariantInstanceType # parseJSONList :: Value -> Parser [ProductionVariantInstanceType] #
FromJSONKey ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods fromJSONKey :: FromJSONKeyFunction ProductionVariantInstanceType # fromJSONKeyList :: FromJSONKeyFunction [ProductionVariantInstanceType] #
ToLog ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods build :: ProductionVariantInstanceType -> ByteStringBuilder #
ToHeader ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toHeader :: HeaderName -> ProductionVariantInstanceType -> [Header] #
ToQuery ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toQuery :: ProductionVariantInstanceType -> QueryString #
FromXML ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods parseXML :: [Node] -> Either String ProductionVariantInstanceType #
ToXML ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toXML :: ProductionVariantInstanceType -> XML #
ToByteString ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toBS :: ProductionVariantInstanceType -> ByteString #
FromText ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods fromText :: Text -> Either String ProductionVariantInstanceType #
ToText ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType Methods toText :: ProductionVariantInstanceType -> Text #
type Rep ProductionVariantInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType type Rep ProductionVariantInstanceType = D1 ('MetaData "ProductionVariantInstanceType" "Amazonka.SageMaker.Types.ProductionVariantInstanceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProductionVariantInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProductionVariantInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProfilingStatus

newtype ProfilingStatus Source #

Constructors

ProfilingStatus'
Fields fromProfilingStatus :: Text

Bundled Patterns

pattern ProfilingStatus_Disabled :: ProfilingStatus
pattern ProfilingStatus_Enabled :: ProfilingStatus

Instances

Instances details

Eq ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods (==) :: ProfilingStatus -> ProfilingStatus -> Bool # (/=) :: ProfilingStatus -> ProfilingStatus -> Bool #
Ord ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods compare :: ProfilingStatus -> ProfilingStatus -> Ordering # (<) :: ProfilingStatus -> ProfilingStatus -> Bool # (<=) :: ProfilingStatus -> ProfilingStatus -> Bool # (>) :: ProfilingStatus -> ProfilingStatus -> Bool # (>=) :: ProfilingStatus -> ProfilingStatus -> Bool # max :: ProfilingStatus -> ProfilingStatus -> ProfilingStatus # min :: ProfilingStatus -> ProfilingStatus -> ProfilingStatus #
Read ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods readsPrec :: Int -> ReadS ProfilingStatus # readList :: ReadS [ProfilingStatus] # readPrec :: ReadPrec ProfilingStatus # readListPrec :: ReadPrec [ProfilingStatus] #
Show ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods showsPrec :: Int -> ProfilingStatus -> ShowS # show :: ProfilingStatus -> String # showList :: [ProfilingStatus] -> ShowS #
Generic ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Associated Types type Rep ProfilingStatus :: Type -> Type # Methods from :: ProfilingStatus -> Rep ProfilingStatus x # to :: Rep ProfilingStatus x -> ProfilingStatus #
NFData ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods rnf :: ProfilingStatus -> () #
Hashable ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods hashWithSalt :: Int -> ProfilingStatus -> Int # hash :: ProfilingStatus -> Int #
ToJSON ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toJSON :: ProfilingStatus -> Value # toEncoding :: ProfilingStatus -> Encoding # toJSONList :: [ProfilingStatus] -> Value # toEncodingList :: [ProfilingStatus] -> Encoding #
ToJSONKey ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toJSONKey :: ToJSONKeyFunction ProfilingStatus # toJSONKeyList :: ToJSONKeyFunction [ProfilingStatus] #
FromJSON ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods parseJSON :: Value -> Parser ProfilingStatus # parseJSONList :: Value -> Parser [ProfilingStatus] #
FromJSONKey ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods fromJSONKey :: FromJSONKeyFunction ProfilingStatus # fromJSONKeyList :: FromJSONKeyFunction [ProfilingStatus] #
ToLog ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods build :: ProfilingStatus -> ByteStringBuilder #
ToHeader ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toHeader :: HeaderName -> ProfilingStatus -> [Header] #
ToQuery ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toQuery :: ProfilingStatus -> QueryString #
FromXML ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods parseXML :: [Node] -> Either String ProfilingStatus #
ToXML ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toXML :: ProfilingStatus -> XML #
ToByteString ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toBS :: ProfilingStatus -> ByteString #
FromText ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods fromText :: Text -> Either String ProfilingStatus #
ToText ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus Methods toText :: ProfilingStatus -> Text #
type Rep ProfilingStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilingStatus type Rep ProfilingStatus = D1 ('MetaData "ProfilingStatus" "Amazonka.SageMaker.Types.ProfilingStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProfilingStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProfilingStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectSortBy

newtype ProjectSortBy Source #

Constructors

ProjectSortBy'
Fields fromProjectSortBy :: Text

Bundled Patterns

pattern ProjectSortBy_CreationTime :: ProjectSortBy
pattern ProjectSortBy_Name :: ProjectSortBy

Instances

Instances details

Eq ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods (==) :: ProjectSortBy -> ProjectSortBy -> Bool # (/=) :: ProjectSortBy -> ProjectSortBy -> Bool #
Ord ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods compare :: ProjectSortBy -> ProjectSortBy -> Ordering # (<) :: ProjectSortBy -> ProjectSortBy -> Bool # (<=) :: ProjectSortBy -> ProjectSortBy -> Bool # (>) :: ProjectSortBy -> ProjectSortBy -> Bool # (>=) :: ProjectSortBy -> ProjectSortBy -> Bool # max :: ProjectSortBy -> ProjectSortBy -> ProjectSortBy # min :: ProjectSortBy -> ProjectSortBy -> ProjectSortBy #
Read ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods readsPrec :: Int -> ReadS ProjectSortBy # readList :: ReadS [ProjectSortBy] # readPrec :: ReadPrec ProjectSortBy # readListPrec :: ReadPrec [ProjectSortBy] #
Show ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods showsPrec :: Int -> ProjectSortBy -> ShowS # show :: ProjectSortBy -> String # showList :: [ProjectSortBy] -> ShowS #
Generic ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Associated Types type Rep ProjectSortBy :: Type -> Type # Methods from :: ProjectSortBy -> Rep ProjectSortBy x # to :: Rep ProjectSortBy x -> ProjectSortBy #
NFData ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods rnf :: ProjectSortBy -> () #
Hashable ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods hashWithSalt :: Int -> ProjectSortBy -> Int # hash :: ProjectSortBy -> Int #
ToJSON ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toJSON :: ProjectSortBy -> Value # toEncoding :: ProjectSortBy -> Encoding # toJSONList :: [ProjectSortBy] -> Value # toEncodingList :: [ProjectSortBy] -> Encoding #
ToJSONKey ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toJSONKey :: ToJSONKeyFunction ProjectSortBy # toJSONKeyList :: ToJSONKeyFunction [ProjectSortBy] #
FromJSON ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods parseJSON :: Value -> Parser ProjectSortBy # parseJSONList :: Value -> Parser [ProjectSortBy] #
FromJSONKey ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods fromJSONKey :: FromJSONKeyFunction ProjectSortBy # fromJSONKeyList :: FromJSONKeyFunction [ProjectSortBy] #
ToLog ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods build :: ProjectSortBy -> ByteStringBuilder #
ToHeader ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toHeader :: HeaderName -> ProjectSortBy -> [Header] #
ToQuery ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toQuery :: ProjectSortBy -> QueryString #
FromXML ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods parseXML :: [Node] -> Either String ProjectSortBy #
ToXML ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toXML :: ProjectSortBy -> XML #
ToByteString ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toBS :: ProjectSortBy -> ByteString #
FromText ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods fromText :: Text -> Either String ProjectSortBy #
ToText ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy Methods toText :: ProjectSortBy -> Text #
type Rep ProjectSortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortBy type Rep ProjectSortBy = D1 ('MetaData "ProjectSortBy" "Amazonka.SageMaker.Types.ProjectSortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProjectSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectSortOrder

newtype ProjectSortOrder Source #

Constructors

ProjectSortOrder'
Fields fromProjectSortOrder :: Text

Bundled Patterns

pattern ProjectSortOrder_Ascending :: ProjectSortOrder
pattern ProjectSortOrder_Descending :: ProjectSortOrder

Instances

Instances details

Eq ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods (==) :: ProjectSortOrder -> ProjectSortOrder -> Bool # (/=) :: ProjectSortOrder -> ProjectSortOrder -> Bool #
Ord ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods compare :: ProjectSortOrder -> ProjectSortOrder -> Ordering # (<) :: ProjectSortOrder -> ProjectSortOrder -> Bool # (<=) :: ProjectSortOrder -> ProjectSortOrder -> Bool # (>) :: ProjectSortOrder -> ProjectSortOrder -> Bool # (>=) :: ProjectSortOrder -> ProjectSortOrder -> Bool # max :: ProjectSortOrder -> ProjectSortOrder -> ProjectSortOrder # min :: ProjectSortOrder -> ProjectSortOrder -> ProjectSortOrder #
Read ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods readsPrec :: Int -> ReadS ProjectSortOrder # readList :: ReadS [ProjectSortOrder] # readPrec :: ReadPrec ProjectSortOrder # readListPrec :: ReadPrec [ProjectSortOrder] #
Show ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods showsPrec :: Int -> ProjectSortOrder -> ShowS # show :: ProjectSortOrder -> String # showList :: [ProjectSortOrder] -> ShowS #
Generic ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Associated Types type Rep ProjectSortOrder :: Type -> Type # Methods from :: ProjectSortOrder -> Rep ProjectSortOrder x # to :: Rep ProjectSortOrder x -> ProjectSortOrder #
NFData ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods rnf :: ProjectSortOrder -> () #
Hashable ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods hashWithSalt :: Int -> ProjectSortOrder -> Int # hash :: ProjectSortOrder -> Int #
ToJSON ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toJSON :: ProjectSortOrder -> Value # toEncoding :: ProjectSortOrder -> Encoding # toJSONList :: [ProjectSortOrder] -> Value # toEncodingList :: [ProjectSortOrder] -> Encoding #
ToJSONKey ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toJSONKey :: ToJSONKeyFunction ProjectSortOrder # toJSONKeyList :: ToJSONKeyFunction [ProjectSortOrder] #
FromJSON ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods parseJSON :: Value -> Parser ProjectSortOrder # parseJSONList :: Value -> Parser [ProjectSortOrder] #
FromJSONKey ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods fromJSONKey :: FromJSONKeyFunction ProjectSortOrder # fromJSONKeyList :: FromJSONKeyFunction [ProjectSortOrder] #
ToLog ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods build :: ProjectSortOrder -> ByteStringBuilder #
ToHeader ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toHeader :: HeaderName -> ProjectSortOrder -> [Header] #
ToQuery ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toQuery :: ProjectSortOrder -> QueryString #
FromXML ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods parseXML :: [Node] -> Either String ProjectSortOrder #
ToXML ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toXML :: ProjectSortOrder -> XML #
ToByteString ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toBS :: ProjectSortOrder -> ByteString #
FromText ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods fromText :: Text -> Either String ProjectSortOrder #
ToText ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder Methods toText :: ProjectSortOrder -> Text #
type Rep ProjectSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSortOrder type Rep ProjectSortOrder = D1 ('MetaData "ProjectSortOrder" "Amazonka.SageMaker.Types.ProjectSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProjectSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectStatus

newtype ProjectStatus Source #

Constructors

ProjectStatus'
Fields fromProjectStatus :: Text

Bundled Patterns

pattern ProjectStatus_CreateCompleted :: ProjectStatus
pattern ProjectStatus_CreateFailed :: ProjectStatus
pattern ProjectStatus_CreateInProgress :: ProjectStatus
pattern ProjectStatus_DeleteCompleted :: ProjectStatus
pattern ProjectStatus_DeleteFailed :: ProjectStatus
pattern ProjectStatus_DeleteInProgress :: ProjectStatus
pattern ProjectStatus_Pending :: ProjectStatus

Instances

Instances details

Eq ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods (==) :: ProjectStatus -> ProjectStatus -> Bool # (/=) :: ProjectStatus -> ProjectStatus -> Bool #
Ord ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods compare :: ProjectStatus -> ProjectStatus -> Ordering # (<) :: ProjectStatus -> ProjectStatus -> Bool # (<=) :: ProjectStatus -> ProjectStatus -> Bool # (>) :: ProjectStatus -> ProjectStatus -> Bool # (>=) :: ProjectStatus -> ProjectStatus -> Bool # max :: ProjectStatus -> ProjectStatus -> ProjectStatus # min :: ProjectStatus -> ProjectStatus -> ProjectStatus #
Read ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods readsPrec :: Int -> ReadS ProjectStatus # readList :: ReadS [ProjectStatus] # readPrec :: ReadPrec ProjectStatus # readListPrec :: ReadPrec [ProjectStatus] #
Show ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods showsPrec :: Int -> ProjectStatus -> ShowS # show :: ProjectStatus -> String # showList :: [ProjectStatus] -> ShowS #
Generic ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Associated Types type Rep ProjectStatus :: Type -> Type # Methods from :: ProjectStatus -> Rep ProjectStatus x # to :: Rep ProjectStatus x -> ProjectStatus #
NFData ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods rnf :: ProjectStatus -> () #
Hashable ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods hashWithSalt :: Int -> ProjectStatus -> Int # hash :: ProjectStatus -> Int #
ToJSON ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toJSON :: ProjectStatus -> Value # toEncoding :: ProjectStatus -> Encoding # toJSONList :: [ProjectStatus] -> Value # toEncodingList :: [ProjectStatus] -> Encoding #
ToJSONKey ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toJSONKey :: ToJSONKeyFunction ProjectStatus # toJSONKeyList :: ToJSONKeyFunction [ProjectStatus] #
FromJSON ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods parseJSON :: Value -> Parser ProjectStatus # parseJSONList :: Value -> Parser [ProjectStatus] #
FromJSONKey ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods fromJSONKey :: FromJSONKeyFunction ProjectStatus # fromJSONKeyList :: FromJSONKeyFunction [ProjectStatus] #
ToLog ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods build :: ProjectStatus -> ByteStringBuilder #
ToHeader ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toHeader :: HeaderName -> ProjectStatus -> [Header] #
ToQuery ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toQuery :: ProjectStatus -> QueryString #
FromXML ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods parseXML :: [Node] -> Either String ProjectStatus #
ToXML ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toXML :: ProjectStatus -> XML #
ToByteString ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toBS :: ProjectStatus -> ByteString #
FromText ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods fromText :: Text -> Either String ProjectStatus #
ToText ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus Methods toText :: ProjectStatus -> Text #
type Rep ProjectStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectStatus type Rep ProjectStatus = D1 ('MetaData "ProjectStatus" "Amazonka.SageMaker.Types.ProjectStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ProjectStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecordWrapper

newtype RecordWrapper Source #

Constructors

RecordWrapper'
Fields fromRecordWrapper :: Text

Bundled Patterns

pattern RecordWrapper_None :: RecordWrapper
pattern RecordWrapper_RecordIO :: RecordWrapper

Instances

Instances details

Eq RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods (==) :: RecordWrapper -> RecordWrapper -> Bool # (/=) :: RecordWrapper -> RecordWrapper -> Bool #
Ord RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods compare :: RecordWrapper -> RecordWrapper -> Ordering # (<) :: RecordWrapper -> RecordWrapper -> Bool # (<=) :: RecordWrapper -> RecordWrapper -> Bool # (>) :: RecordWrapper -> RecordWrapper -> Bool # (>=) :: RecordWrapper -> RecordWrapper -> Bool # max :: RecordWrapper -> RecordWrapper -> RecordWrapper # min :: RecordWrapper -> RecordWrapper -> RecordWrapper #
Read RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods readsPrec :: Int -> ReadS RecordWrapper # readList :: ReadS [RecordWrapper] # readPrec :: ReadPrec RecordWrapper # readListPrec :: ReadPrec [RecordWrapper] #
Show RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods showsPrec :: Int -> RecordWrapper -> ShowS # show :: RecordWrapper -> String # showList :: [RecordWrapper] -> ShowS #
Generic RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Associated Types type Rep RecordWrapper :: Type -> Type # Methods from :: RecordWrapper -> Rep RecordWrapper x # to :: Rep RecordWrapper x -> RecordWrapper #
NFData RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods rnf :: RecordWrapper -> () #
Hashable RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods hashWithSalt :: Int -> RecordWrapper -> Int # hash :: RecordWrapper -> Int #
ToJSON RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toJSON :: RecordWrapper -> Value # toEncoding :: RecordWrapper -> Encoding # toJSONList :: [RecordWrapper] -> Value # toEncodingList :: [RecordWrapper] -> Encoding #
ToJSONKey RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toJSONKey :: ToJSONKeyFunction RecordWrapper # toJSONKeyList :: ToJSONKeyFunction [RecordWrapper] #
FromJSON RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods parseJSON :: Value -> Parser RecordWrapper # parseJSONList :: Value -> Parser [RecordWrapper] #
FromJSONKey RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods fromJSONKey :: FromJSONKeyFunction RecordWrapper # fromJSONKeyList :: FromJSONKeyFunction [RecordWrapper] #
ToLog RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods build :: RecordWrapper -> ByteStringBuilder #
ToHeader RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toHeader :: HeaderName -> RecordWrapper -> [Header] #
ToQuery RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toQuery :: RecordWrapper -> QueryString #
FromXML RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods parseXML :: [Node] -> Either String RecordWrapper #
ToXML RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toXML :: RecordWrapper -> XML #
ToByteString RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toBS :: RecordWrapper -> ByteString #
FromText RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods fromText :: Text -> Either String RecordWrapper #
ToText RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper Methods toText :: RecordWrapper -> Text #
type Rep RecordWrapper Source #
Instance details Defined in Amazonka.SageMaker.Types.RecordWrapper type Rep RecordWrapper = D1 ('MetaData "RecordWrapper" "Amazonka.SageMaker.Types.RecordWrapper" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RecordWrapper'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecordWrapper") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RedshiftResultCompressionType

newtype RedshiftResultCompressionType Source #

The compression used for Redshift query results.

Constructors

RedshiftResultCompressionType'
Fields fromRedshiftResultCompressionType :: Text

Bundled Patterns

pattern RedshiftResultCompressionType_BZIP2 :: RedshiftResultCompressionType
pattern RedshiftResultCompressionType_GZIP :: RedshiftResultCompressionType
pattern RedshiftResultCompressionType_None :: RedshiftResultCompressionType
pattern RedshiftResultCompressionType_SNAPPY :: RedshiftResultCompressionType
pattern RedshiftResultCompressionType_ZSTD :: RedshiftResultCompressionType

Instances

Instances details

Eq RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods (==) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool # (/=) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #
Ord RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods compare :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Ordering # (<) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool # (<=) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool # (>) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool # (>=) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool # max :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> RedshiftResultCompressionType # min :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> RedshiftResultCompressionType #
Read RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods readsPrec :: Int -> ReadS RedshiftResultCompressionType # readList :: ReadS [RedshiftResultCompressionType] # readPrec :: ReadPrec RedshiftResultCompressionType # readListPrec :: ReadPrec [RedshiftResultCompressionType] #
Show RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods showsPrec :: Int -> RedshiftResultCompressionType -> ShowS # show :: RedshiftResultCompressionType -> String # showList :: [RedshiftResultCompressionType] -> ShowS #
Generic RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Associated Types type Rep RedshiftResultCompressionType :: Type -> Type # Methods from :: RedshiftResultCompressionType -> Rep RedshiftResultCompressionType x # to :: Rep RedshiftResultCompressionType x -> RedshiftResultCompressionType #
NFData RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods rnf :: RedshiftResultCompressionType -> () #
Hashable RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods hashWithSalt :: Int -> RedshiftResultCompressionType -> Int # hash :: RedshiftResultCompressionType -> Int #
ToJSON RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toJSON :: RedshiftResultCompressionType -> Value # toEncoding :: RedshiftResultCompressionType -> Encoding # toJSONList :: [RedshiftResultCompressionType] -> Value # toEncodingList :: [RedshiftResultCompressionType] -> Encoding #
ToJSONKey RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toJSONKey :: ToJSONKeyFunction RedshiftResultCompressionType # toJSONKeyList :: ToJSONKeyFunction [RedshiftResultCompressionType] #
FromJSON RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods parseJSON :: Value -> Parser RedshiftResultCompressionType # parseJSONList :: Value -> Parser [RedshiftResultCompressionType] #
FromJSONKey RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods fromJSONKey :: FromJSONKeyFunction RedshiftResultCompressionType # fromJSONKeyList :: FromJSONKeyFunction [RedshiftResultCompressionType] #
ToLog RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods build :: RedshiftResultCompressionType -> ByteStringBuilder #
ToHeader RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toHeader :: HeaderName -> RedshiftResultCompressionType -> [Header] #
ToQuery RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toQuery :: RedshiftResultCompressionType -> QueryString #
FromXML RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods parseXML :: [Node] -> Either String RedshiftResultCompressionType #
ToXML RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toXML :: RedshiftResultCompressionType -> XML #
ToByteString RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toBS :: RedshiftResultCompressionType -> ByteString #
FromText RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods fromText :: Text -> Either String RedshiftResultCompressionType #
ToText RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType Methods toText :: RedshiftResultCompressionType -> Text #
type Rep RedshiftResultCompressionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType type Rep RedshiftResultCompressionType = D1 ('MetaData "RedshiftResultCompressionType" "Amazonka.SageMaker.Types.RedshiftResultCompressionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RedshiftResultCompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRedshiftResultCompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RedshiftResultFormat

newtype RedshiftResultFormat Source #

The data storage format for Redshift query results.

Constructors

RedshiftResultFormat'
Fields fromRedshiftResultFormat :: Text

Bundled Patterns

pattern RedshiftResultFormat_CSV :: RedshiftResultFormat
pattern RedshiftResultFormat_PARQUET :: RedshiftResultFormat

Instances

Instances details

Eq RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods (==) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool # (/=) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #
Ord RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods compare :: RedshiftResultFormat -> RedshiftResultFormat -> Ordering # (<) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool # (<=) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool # (>) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool # (>=) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool # max :: RedshiftResultFormat -> RedshiftResultFormat -> RedshiftResultFormat # min :: RedshiftResultFormat -> RedshiftResultFormat -> RedshiftResultFormat #
Read RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods readsPrec :: Int -> ReadS RedshiftResultFormat # readList :: ReadS [RedshiftResultFormat] # readPrec :: ReadPrec RedshiftResultFormat # readListPrec :: ReadPrec [RedshiftResultFormat] #
Show RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods showsPrec :: Int -> RedshiftResultFormat -> ShowS # show :: RedshiftResultFormat -> String # showList :: [RedshiftResultFormat] -> ShowS #
Generic RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Associated Types type Rep RedshiftResultFormat :: Type -> Type # Methods from :: RedshiftResultFormat -> Rep RedshiftResultFormat x # to :: Rep RedshiftResultFormat x -> RedshiftResultFormat #
NFData RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods rnf :: RedshiftResultFormat -> () #
Hashable RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods hashWithSalt :: Int -> RedshiftResultFormat -> Int # hash :: RedshiftResultFormat -> Int #
ToJSON RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toJSON :: RedshiftResultFormat -> Value # toEncoding :: RedshiftResultFormat -> Encoding # toJSONList :: [RedshiftResultFormat] -> Value # toEncodingList :: [RedshiftResultFormat] -> Encoding #
ToJSONKey RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toJSONKey :: ToJSONKeyFunction RedshiftResultFormat # toJSONKeyList :: ToJSONKeyFunction [RedshiftResultFormat] #
FromJSON RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods parseJSON :: Value -> Parser RedshiftResultFormat # parseJSONList :: Value -> Parser [RedshiftResultFormat] #
FromJSONKey RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods fromJSONKey :: FromJSONKeyFunction RedshiftResultFormat # fromJSONKeyList :: FromJSONKeyFunction [RedshiftResultFormat] #
ToLog RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods build :: RedshiftResultFormat -> ByteStringBuilder #
ToHeader RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toHeader :: HeaderName -> RedshiftResultFormat -> [Header] #
ToQuery RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toQuery :: RedshiftResultFormat -> QueryString #
FromXML RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods parseXML :: [Node] -> Either String RedshiftResultFormat #
ToXML RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toXML :: RedshiftResultFormat -> XML #
ToByteString RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toBS :: RedshiftResultFormat -> ByteString #
FromText RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods fromText :: Text -> Either String RedshiftResultFormat #
ToText RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat Methods toText :: RedshiftResultFormat -> Text #
type Rep RedshiftResultFormat Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftResultFormat type Rep RedshiftResultFormat = D1 ('MetaData "RedshiftResultFormat" "Amazonka.SageMaker.Types.RedshiftResultFormat" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RedshiftResultFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRedshiftResultFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RepositoryAccessMode

newtype RepositoryAccessMode Source #

Constructors

RepositoryAccessMode'
Fields fromRepositoryAccessMode :: Text

Bundled Patterns

pattern RepositoryAccessMode_Platform :: RepositoryAccessMode
pattern RepositoryAccessMode_Vpc :: RepositoryAccessMode

Instances

Instances details

Eq RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods (==) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool # (/=) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #
Ord RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods compare :: RepositoryAccessMode -> RepositoryAccessMode -> Ordering # (<) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool # (<=) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool # (>) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool # (>=) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool # max :: RepositoryAccessMode -> RepositoryAccessMode -> RepositoryAccessMode # min :: RepositoryAccessMode -> RepositoryAccessMode -> RepositoryAccessMode #
Read RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods readsPrec :: Int -> ReadS RepositoryAccessMode # readList :: ReadS [RepositoryAccessMode] # readPrec :: ReadPrec RepositoryAccessMode # readListPrec :: ReadPrec [RepositoryAccessMode] #
Show RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods showsPrec :: Int -> RepositoryAccessMode -> ShowS # show :: RepositoryAccessMode -> String # showList :: [RepositoryAccessMode] -> ShowS #
Generic RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Associated Types type Rep RepositoryAccessMode :: Type -> Type # Methods from :: RepositoryAccessMode -> Rep RepositoryAccessMode x # to :: Rep RepositoryAccessMode x -> RepositoryAccessMode #
NFData RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods rnf :: RepositoryAccessMode -> () #
Hashable RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods hashWithSalt :: Int -> RepositoryAccessMode -> Int # hash :: RepositoryAccessMode -> Int #
ToJSON RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toJSON :: RepositoryAccessMode -> Value # toEncoding :: RepositoryAccessMode -> Encoding # toJSONList :: [RepositoryAccessMode] -> Value # toEncodingList :: [RepositoryAccessMode] -> Encoding #
ToJSONKey RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toJSONKey :: ToJSONKeyFunction RepositoryAccessMode # toJSONKeyList :: ToJSONKeyFunction [RepositoryAccessMode] #
FromJSON RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods parseJSON :: Value -> Parser RepositoryAccessMode # parseJSONList :: Value -> Parser [RepositoryAccessMode] #
FromJSONKey RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods fromJSONKey :: FromJSONKeyFunction RepositoryAccessMode # fromJSONKeyList :: FromJSONKeyFunction [RepositoryAccessMode] #
ToLog RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods build :: RepositoryAccessMode -> ByteStringBuilder #
ToHeader RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toHeader :: HeaderName -> RepositoryAccessMode -> [Header] #
ToQuery RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toQuery :: RepositoryAccessMode -> QueryString #
FromXML RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods parseXML :: [Node] -> Either String RepositoryAccessMode #
ToXML RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toXML :: RepositoryAccessMode -> XML #
ToByteString RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toBS :: RepositoryAccessMode -> ByteString #
FromText RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods fromText :: Text -> Either String RepositoryAccessMode #
ToText RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode Methods toText :: RepositoryAccessMode -> Text #
type Rep RepositoryAccessMode Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAccessMode type Rep RepositoryAccessMode = D1 ('MetaData "RepositoryAccessMode" "Amazonka.SageMaker.Types.RepositoryAccessMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RepositoryAccessMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRepositoryAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ResourceType

newtype ResourceType Source #

Constructors

ResourceType'
Fields fromResourceType :: Text

Bundled Patterns

pattern ResourceType_Endpoint :: ResourceType
pattern ResourceType_Experiment :: ResourceType
pattern ResourceType_ExperimentTrial :: ResourceType
pattern ResourceType_ExperimentTrialComponent :: ResourceType
pattern ResourceType_FeatureGroup :: ResourceType
pattern ResourceType_ModelPackage :: ResourceType
pattern ResourceType_ModelPackageGroup :: ResourceType
pattern ResourceType_Pipeline :: ResourceType
pattern ResourceType_PipelineExecution :: ResourceType
pattern ResourceType_Project :: ResourceType
pattern ResourceType_TrainingJob :: ResourceType

Instances

Instances details

Eq ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods (==) :: ResourceType -> ResourceType -> Bool # (/=) :: ResourceType -> ResourceType -> Bool #
Ord ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods compare :: ResourceType -> ResourceType -> Ordering # (<) :: ResourceType -> ResourceType -> Bool # (<=) :: ResourceType -> ResourceType -> Bool # (>) :: ResourceType -> ResourceType -> Bool # (>=) :: ResourceType -> ResourceType -> Bool # max :: ResourceType -> ResourceType -> ResourceType # min :: ResourceType -> ResourceType -> ResourceType #
Read ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods readsPrec :: Int -> ReadS ResourceType # readList :: ReadS [ResourceType] # readPrec :: ReadPrec ResourceType # readListPrec :: ReadPrec [ResourceType] #
Show ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods showsPrec :: Int -> ResourceType -> ShowS # show :: ResourceType -> String # showList :: [ResourceType] -> ShowS #
Generic ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Associated Types type Rep ResourceType :: Type -> Type # Methods from :: ResourceType -> Rep ResourceType x # to :: Rep ResourceType x -> ResourceType #
NFData ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods rnf :: ResourceType -> () #
Hashable ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods hashWithSalt :: Int -> ResourceType -> Int # hash :: ResourceType -> Int #
ToJSON ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toJSON :: ResourceType -> Value # toEncoding :: ResourceType -> Encoding # toJSONList :: [ResourceType] -> Value # toEncodingList :: [ResourceType] -> Encoding #
ToJSONKey ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toJSONKey :: ToJSONKeyFunction ResourceType # toJSONKeyList :: ToJSONKeyFunction [ResourceType] #
FromJSON ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods parseJSON :: Value -> Parser ResourceType # parseJSONList :: Value -> Parser [ResourceType] #
FromJSONKey ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods fromJSONKey :: FromJSONKeyFunction ResourceType # fromJSONKeyList :: FromJSONKeyFunction [ResourceType] #
ToLog ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods build :: ResourceType -> ByteStringBuilder #
ToHeader ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toHeader :: HeaderName -> ResourceType -> [Header] #
ToQuery ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toQuery :: ResourceType -> QueryString #
FromXML ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods parseXML :: [Node] -> Either String ResourceType #
ToXML ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toXML :: ResourceType -> XML #
ToByteString ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toBS :: ResourceType -> ByteString #
FromText ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods fromText :: Text -> Either String ResourceType #
ToText ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType Methods toText :: ResourceType -> Text #
type Rep ResourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceType type Rep ResourceType = D1 ('MetaData "ResourceType" "Amazonka.SageMaker.Types.ResourceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ResourceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromResourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RetentionType

newtype RetentionType Source #

Constructors

RetentionType'
Fields fromRetentionType :: Text

Bundled Patterns

pattern RetentionType_Delete :: RetentionType
pattern RetentionType_Retain :: RetentionType

Instances

Instances details

Eq RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods (==) :: RetentionType -> RetentionType -> Bool # (/=) :: RetentionType -> RetentionType -> Bool #
Ord RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods compare :: RetentionType -> RetentionType -> Ordering # (<) :: RetentionType -> RetentionType -> Bool # (<=) :: RetentionType -> RetentionType -> Bool # (>) :: RetentionType -> RetentionType -> Bool # (>=) :: RetentionType -> RetentionType -> Bool # max :: RetentionType -> RetentionType -> RetentionType # min :: RetentionType -> RetentionType -> RetentionType #
Read RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods readsPrec :: Int -> ReadS RetentionType # readList :: ReadS [RetentionType] # readPrec :: ReadPrec RetentionType # readListPrec :: ReadPrec [RetentionType] #
Show RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods showsPrec :: Int -> RetentionType -> ShowS # show :: RetentionType -> String # showList :: [RetentionType] -> ShowS #
Generic RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Associated Types type Rep RetentionType :: Type -> Type # Methods from :: RetentionType -> Rep RetentionType x # to :: Rep RetentionType x -> RetentionType #
NFData RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods rnf :: RetentionType -> () #
Hashable RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods hashWithSalt :: Int -> RetentionType -> Int # hash :: RetentionType -> Int #
ToJSON RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toJSON :: RetentionType -> Value # toEncoding :: RetentionType -> Encoding # toJSONList :: [RetentionType] -> Value # toEncodingList :: [RetentionType] -> Encoding #
ToJSONKey RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toJSONKey :: ToJSONKeyFunction RetentionType # toJSONKeyList :: ToJSONKeyFunction [RetentionType] #
FromJSON RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods parseJSON :: Value -> Parser RetentionType # parseJSONList :: Value -> Parser [RetentionType] #
FromJSONKey RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods fromJSONKey :: FromJSONKeyFunction RetentionType # fromJSONKeyList :: FromJSONKeyFunction [RetentionType] #
ToLog RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods build :: RetentionType -> ByteStringBuilder #
ToHeader RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toHeader :: HeaderName -> RetentionType -> [Header] #
ToQuery RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toQuery :: RetentionType -> QueryString #
FromXML RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods parseXML :: [Node] -> Either String RetentionType #
ToXML RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toXML :: RetentionType -> XML #
ToByteString RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toBS :: RetentionType -> ByteString #
FromText RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods fromText :: Text -> Either String RetentionType #
ToText RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType Methods toText :: RetentionType -> Text #
type Rep RetentionType Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionType type Rep RetentionType = D1 ('MetaData "RetentionType" "Amazonka.SageMaker.Types.RetentionType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RetentionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRetentionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RootAccess

newtype RootAccess Source #

Constructors

RootAccess'
Fields fromRootAccess :: Text

Bundled Patterns

pattern RootAccess_Disabled :: RootAccess
pattern RootAccess_Enabled :: RootAccess

Instances

Instances details

Eq RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods (==) :: RootAccess -> RootAccess -> Bool # (/=) :: RootAccess -> RootAccess -> Bool #
Ord RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods compare :: RootAccess -> RootAccess -> Ordering # (<) :: RootAccess -> RootAccess -> Bool # (<=) :: RootAccess -> RootAccess -> Bool # (>) :: RootAccess -> RootAccess -> Bool # (>=) :: RootAccess -> RootAccess -> Bool # max :: RootAccess -> RootAccess -> RootAccess # min :: RootAccess -> RootAccess -> RootAccess #
Read RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods readsPrec :: Int -> ReadS RootAccess # readList :: ReadS [RootAccess] # readPrec :: ReadPrec RootAccess # readListPrec :: ReadPrec [RootAccess] #
Show RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods showsPrec :: Int -> RootAccess -> ShowS # show :: RootAccess -> String # showList :: [RootAccess] -> ShowS #
Generic RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Associated Types type Rep RootAccess :: Type -> Type # Methods from :: RootAccess -> Rep RootAccess x # to :: Rep RootAccess x -> RootAccess #
NFData RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods rnf :: RootAccess -> () #
Hashable RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods hashWithSalt :: Int -> RootAccess -> Int # hash :: RootAccess -> Int #
ToJSON RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toJSON :: RootAccess -> Value # toEncoding :: RootAccess -> Encoding # toJSONList :: [RootAccess] -> Value # toEncodingList :: [RootAccess] -> Encoding #
ToJSONKey RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toJSONKey :: ToJSONKeyFunction RootAccess # toJSONKeyList :: ToJSONKeyFunction [RootAccess] #
FromJSON RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods parseJSON :: Value -> Parser RootAccess # parseJSONList :: Value -> Parser [RootAccess] #
FromJSONKey RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods fromJSONKey :: FromJSONKeyFunction RootAccess # fromJSONKeyList :: FromJSONKeyFunction [RootAccess] #
ToLog RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods build :: RootAccess -> ByteStringBuilder #
ToHeader RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toHeader :: HeaderName -> RootAccess -> [Header] #
ToQuery RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toQuery :: RootAccess -> QueryString #
FromXML RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods parseXML :: [Node] -> Either String RootAccess #
ToXML RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toXML :: RootAccess -> XML #
ToByteString RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toBS :: RootAccess -> ByteString #
FromText RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods fromText :: Text -> Either String RootAccess #
ToText RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess Methods toText :: RootAccess -> Text #
type Rep RootAccess Source #
Instance details Defined in Amazonka.SageMaker.Types.RootAccess type Rep RootAccess = D1 ('MetaData "RootAccess" "Amazonka.SageMaker.Types.RootAccess" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RootAccess'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRootAccess") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RuleEvaluationStatus

newtype RuleEvaluationStatus Source #

Constructors

RuleEvaluationStatus'
Fields fromRuleEvaluationStatus :: Text

Bundled Patterns

pattern RuleEvaluationStatus_Error :: RuleEvaluationStatus
pattern RuleEvaluationStatus_InProgress :: RuleEvaluationStatus
pattern RuleEvaluationStatus_IssuesFound :: RuleEvaluationStatus
pattern RuleEvaluationStatus_NoIssuesFound :: RuleEvaluationStatus
pattern RuleEvaluationStatus_Stopped :: RuleEvaluationStatus
pattern RuleEvaluationStatus_Stopping :: RuleEvaluationStatus

Instances

Instances details

Eq RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods (==) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool # (/=) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #
Ord RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods compare :: RuleEvaluationStatus -> RuleEvaluationStatus -> Ordering # (<) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool # (<=) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool # (>) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool # (>=) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool # max :: RuleEvaluationStatus -> RuleEvaluationStatus -> RuleEvaluationStatus # min :: RuleEvaluationStatus -> RuleEvaluationStatus -> RuleEvaluationStatus #
Read RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods readsPrec :: Int -> ReadS RuleEvaluationStatus # readList :: ReadS [RuleEvaluationStatus] # readPrec :: ReadPrec RuleEvaluationStatus # readListPrec :: ReadPrec [RuleEvaluationStatus] #
Show RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods showsPrec :: Int -> RuleEvaluationStatus -> ShowS # show :: RuleEvaluationStatus -> String # showList :: [RuleEvaluationStatus] -> ShowS #
Generic RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Associated Types type Rep RuleEvaluationStatus :: Type -> Type # Methods from :: RuleEvaluationStatus -> Rep RuleEvaluationStatus x # to :: Rep RuleEvaluationStatus x -> RuleEvaluationStatus #
NFData RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods rnf :: RuleEvaluationStatus -> () #
Hashable RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods hashWithSalt :: Int -> RuleEvaluationStatus -> Int # hash :: RuleEvaluationStatus -> Int #
ToJSON RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toJSON :: RuleEvaluationStatus -> Value # toEncoding :: RuleEvaluationStatus -> Encoding # toJSONList :: [RuleEvaluationStatus] -> Value # toEncodingList :: [RuleEvaluationStatus] -> Encoding #
ToJSONKey RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toJSONKey :: ToJSONKeyFunction RuleEvaluationStatus # toJSONKeyList :: ToJSONKeyFunction [RuleEvaluationStatus] #
FromJSON RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods parseJSON :: Value -> Parser RuleEvaluationStatus # parseJSONList :: Value -> Parser [RuleEvaluationStatus] #
FromJSONKey RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods fromJSONKey :: FromJSONKeyFunction RuleEvaluationStatus # fromJSONKeyList :: FromJSONKeyFunction [RuleEvaluationStatus] #
ToLog RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods build :: RuleEvaluationStatus -> ByteStringBuilder #
ToHeader RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toHeader :: HeaderName -> RuleEvaluationStatus -> [Header] #
ToQuery RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toQuery :: RuleEvaluationStatus -> QueryString #
FromXML RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods parseXML :: [Node] -> Either String RuleEvaluationStatus #
ToXML RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toXML :: RuleEvaluationStatus -> XML #
ToByteString RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toBS :: RuleEvaluationStatus -> ByteString #
FromText RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods fromText :: Text -> Either String RuleEvaluationStatus #
ToText RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus Methods toText :: RuleEvaluationStatus -> Text #
type Rep RuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus type Rep RuleEvaluationStatus = D1 ('MetaData "RuleEvaluationStatus" "Amazonka.SageMaker.Types.RuleEvaluationStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "RuleEvaluationStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRuleEvaluationStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

S3DataDistribution

newtype S3DataDistribution Source #

Constructors

S3DataDistribution'
Fields fromS3DataDistribution :: Text

Bundled Patterns

pattern S3DataDistribution_FullyReplicated :: S3DataDistribution
pattern S3DataDistribution_ShardedByS3Key :: S3DataDistribution

Instances

Instances details

Eq S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods (==) :: S3DataDistribution -> S3DataDistribution -> Bool # (/=) :: S3DataDistribution -> S3DataDistribution -> Bool #
Ord S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods compare :: S3DataDistribution -> S3DataDistribution -> Ordering # (<) :: S3DataDistribution -> S3DataDistribution -> Bool # (<=) :: S3DataDistribution -> S3DataDistribution -> Bool # (>) :: S3DataDistribution -> S3DataDistribution -> Bool # (>=) :: S3DataDistribution -> S3DataDistribution -> Bool # max :: S3DataDistribution -> S3DataDistribution -> S3DataDistribution # min :: S3DataDistribution -> S3DataDistribution -> S3DataDistribution #
Read S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods readsPrec :: Int -> ReadS S3DataDistribution # readList :: ReadS [S3DataDistribution] # readPrec :: ReadPrec S3DataDistribution # readListPrec :: ReadPrec [S3DataDistribution] #
Show S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods showsPrec :: Int -> S3DataDistribution -> ShowS # show :: S3DataDistribution -> String # showList :: [S3DataDistribution] -> ShowS #
Generic S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Associated Types type Rep S3DataDistribution :: Type -> Type # Methods from :: S3DataDistribution -> Rep S3DataDistribution x # to :: Rep S3DataDistribution x -> S3DataDistribution #
NFData S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods rnf :: S3DataDistribution -> () #
Hashable S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods hashWithSalt :: Int -> S3DataDistribution -> Int # hash :: S3DataDistribution -> Int #
ToJSON S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toJSON :: S3DataDistribution -> Value # toEncoding :: S3DataDistribution -> Encoding # toJSONList :: [S3DataDistribution] -> Value # toEncodingList :: [S3DataDistribution] -> Encoding #
ToJSONKey S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toJSONKey :: ToJSONKeyFunction S3DataDistribution # toJSONKeyList :: ToJSONKeyFunction [S3DataDistribution] #
FromJSON S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods parseJSON :: Value -> Parser S3DataDistribution # parseJSONList :: Value -> Parser [S3DataDistribution] #
FromJSONKey S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods fromJSONKey :: FromJSONKeyFunction S3DataDistribution # fromJSONKeyList :: FromJSONKeyFunction [S3DataDistribution] #
ToLog S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods build :: S3DataDistribution -> ByteStringBuilder #
ToHeader S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toHeader :: HeaderName -> S3DataDistribution -> [Header] #
ToQuery S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toQuery :: S3DataDistribution -> QueryString #
FromXML S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods parseXML :: [Node] -> Either String S3DataDistribution #
ToXML S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toXML :: S3DataDistribution -> XML #
ToByteString S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toBS :: S3DataDistribution -> ByteString #
FromText S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods fromText :: Text -> Either String S3DataDistribution #
ToText S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution Methods toText :: S3DataDistribution -> Text #
type Rep S3DataDistribution Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataDistribution type Rep S3DataDistribution = D1 ('MetaData "S3DataDistribution" "Amazonka.SageMaker.Types.S3DataDistribution" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "S3DataDistribution'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromS3DataDistribution") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

S3DataType

newtype S3DataType Source #

Constructors

S3DataType'
Fields fromS3DataType :: Text

Bundled Patterns

pattern S3DataType_AugmentedManifestFile :: S3DataType
pattern S3DataType_ManifestFile :: S3DataType
pattern S3DataType_S3Prefix :: S3DataType

Instances

Instances details

Eq S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods (==) :: S3DataType -> S3DataType -> Bool # (/=) :: S3DataType -> S3DataType -> Bool #
Ord S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods compare :: S3DataType -> S3DataType -> Ordering # (<) :: S3DataType -> S3DataType -> Bool # (<=) :: S3DataType -> S3DataType -> Bool # (>) :: S3DataType -> S3DataType -> Bool # (>=) :: S3DataType -> S3DataType -> Bool # max :: S3DataType -> S3DataType -> S3DataType # min :: S3DataType -> S3DataType -> S3DataType #
Read S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods readsPrec :: Int -> ReadS S3DataType # readList :: ReadS [S3DataType] # readPrec :: ReadPrec S3DataType # readListPrec :: ReadPrec [S3DataType] #
Show S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods showsPrec :: Int -> S3DataType -> ShowS # show :: S3DataType -> String # showList :: [S3DataType] -> ShowS #
Generic S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Associated Types type Rep S3DataType :: Type -> Type # Methods from :: S3DataType -> Rep S3DataType x # to :: Rep S3DataType x -> S3DataType #
NFData S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods rnf :: S3DataType -> () #
Hashable S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods hashWithSalt :: Int -> S3DataType -> Int # hash :: S3DataType -> Int #
ToJSON S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toJSON :: S3DataType -> Value # toEncoding :: S3DataType -> Encoding # toJSONList :: [S3DataType] -> Value # toEncodingList :: [S3DataType] -> Encoding #
ToJSONKey S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toJSONKey :: ToJSONKeyFunction S3DataType # toJSONKeyList :: ToJSONKeyFunction [S3DataType] #
FromJSON S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods parseJSON :: Value -> Parser S3DataType # parseJSONList :: Value -> Parser [S3DataType] #
FromJSONKey S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods fromJSONKey :: FromJSONKeyFunction S3DataType # fromJSONKeyList :: FromJSONKeyFunction [S3DataType] #
ToLog S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods build :: S3DataType -> ByteStringBuilder #
ToHeader S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toHeader :: HeaderName -> S3DataType -> [Header] #
ToQuery S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toQuery :: S3DataType -> QueryString #
FromXML S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods parseXML :: [Node] -> Either String S3DataType #
ToXML S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toXML :: S3DataType -> XML #
ToByteString S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toBS :: S3DataType -> ByteString #
FromText S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods fromText :: Text -> Either String S3DataType #
ToText S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType Methods toText :: S3DataType -> Text #
type Rep S3DataType Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataType type Rep S3DataType = D1 ('MetaData "S3DataType" "Amazonka.SageMaker.Types.S3DataType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "S3DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromS3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SagemakerServicecatalogStatus

newtype SagemakerServicecatalogStatus Source #

Constructors

SagemakerServicecatalogStatus'
Fields fromSagemakerServicecatalogStatus :: Text

Bundled Patterns

pattern SagemakerServicecatalogStatus_Disabled :: SagemakerServicecatalogStatus
pattern SagemakerServicecatalogStatus_Enabled :: SagemakerServicecatalogStatus

Instances

Instances details

Eq SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods (==) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool # (/=) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #
Ord SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods compare :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Ordering # (<) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool # (<=) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool # (>) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool # (>=) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool # max :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus # min :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus #
Read SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods readsPrec :: Int -> ReadS SagemakerServicecatalogStatus # readList :: ReadS [SagemakerServicecatalogStatus] # readPrec :: ReadPrec SagemakerServicecatalogStatus # readListPrec :: ReadPrec [SagemakerServicecatalogStatus] #
Show SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods showsPrec :: Int -> SagemakerServicecatalogStatus -> ShowS # show :: SagemakerServicecatalogStatus -> String # showList :: [SagemakerServicecatalogStatus] -> ShowS #
Generic SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Associated Types type Rep SagemakerServicecatalogStatus :: Type -> Type # Methods from :: SagemakerServicecatalogStatus -> Rep SagemakerServicecatalogStatus x # to :: Rep SagemakerServicecatalogStatus x -> SagemakerServicecatalogStatus #
NFData SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods rnf :: SagemakerServicecatalogStatus -> () #
Hashable SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods hashWithSalt :: Int -> SagemakerServicecatalogStatus -> Int # hash :: SagemakerServicecatalogStatus -> Int #
ToJSON SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toJSON :: SagemakerServicecatalogStatus -> Value # toEncoding :: SagemakerServicecatalogStatus -> Encoding # toJSONList :: [SagemakerServicecatalogStatus] -> Value # toEncodingList :: [SagemakerServicecatalogStatus] -> Encoding #
ToJSONKey SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toJSONKey :: ToJSONKeyFunction SagemakerServicecatalogStatus # toJSONKeyList :: ToJSONKeyFunction [SagemakerServicecatalogStatus] #
FromJSON SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods parseJSON :: Value -> Parser SagemakerServicecatalogStatus # parseJSONList :: Value -> Parser [SagemakerServicecatalogStatus] #
FromJSONKey SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods fromJSONKey :: FromJSONKeyFunction SagemakerServicecatalogStatus # fromJSONKeyList :: FromJSONKeyFunction [SagemakerServicecatalogStatus] #
ToLog SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods build :: SagemakerServicecatalogStatus -> ByteStringBuilder #
ToHeader SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toHeader :: HeaderName -> SagemakerServicecatalogStatus -> [Header] #
ToQuery SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toQuery :: SagemakerServicecatalogStatus -> QueryString #
FromXML SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods parseXML :: [Node] -> Either String SagemakerServicecatalogStatus #
ToXML SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toXML :: SagemakerServicecatalogStatus -> XML #
ToByteString SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toBS :: SagemakerServicecatalogStatus -> ByteString #
FromText SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods fromText :: Text -> Either String SagemakerServicecatalogStatus #
ToText SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus Methods toText :: SagemakerServicecatalogStatus -> Text #
type Rep SagemakerServicecatalogStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus type Rep SagemakerServicecatalogStatus = D1 ('MetaData "SagemakerServicecatalogStatus" "Amazonka.SageMaker.Types.SagemakerServicecatalogStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SagemakerServicecatalogStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSagemakerServicecatalogStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ScheduleStatus

newtype ScheduleStatus Source #

Constructors

ScheduleStatus'
Fields fromScheduleStatus :: Text

Bundled Patterns

pattern ScheduleStatus_Failed :: ScheduleStatus
pattern ScheduleStatus_Pending :: ScheduleStatus
pattern ScheduleStatus_Scheduled :: ScheduleStatus
pattern ScheduleStatus_Stopped :: ScheduleStatus

Instances

Instances details

Eq ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods (==) :: ScheduleStatus -> ScheduleStatus -> Bool # (/=) :: ScheduleStatus -> ScheduleStatus -> Bool #
Ord ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods compare :: ScheduleStatus -> ScheduleStatus -> Ordering # (<) :: ScheduleStatus -> ScheduleStatus -> Bool # (<=) :: ScheduleStatus -> ScheduleStatus -> Bool # (>) :: ScheduleStatus -> ScheduleStatus -> Bool # (>=) :: ScheduleStatus -> ScheduleStatus -> Bool # max :: ScheduleStatus -> ScheduleStatus -> ScheduleStatus # min :: ScheduleStatus -> ScheduleStatus -> ScheduleStatus #
Read ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods readsPrec :: Int -> ReadS ScheduleStatus # readList :: ReadS [ScheduleStatus] # readPrec :: ReadPrec ScheduleStatus # readListPrec :: ReadPrec [ScheduleStatus] #
Show ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods showsPrec :: Int -> ScheduleStatus -> ShowS # show :: ScheduleStatus -> String # showList :: [ScheduleStatus] -> ShowS #
Generic ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Associated Types type Rep ScheduleStatus :: Type -> Type # Methods from :: ScheduleStatus -> Rep ScheduleStatus x # to :: Rep ScheduleStatus x -> ScheduleStatus #
NFData ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods rnf :: ScheduleStatus -> () #
Hashable ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods hashWithSalt :: Int -> ScheduleStatus -> Int # hash :: ScheduleStatus -> Int #
ToJSON ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toJSON :: ScheduleStatus -> Value # toEncoding :: ScheduleStatus -> Encoding # toJSONList :: [ScheduleStatus] -> Value # toEncodingList :: [ScheduleStatus] -> Encoding #
ToJSONKey ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toJSONKey :: ToJSONKeyFunction ScheduleStatus # toJSONKeyList :: ToJSONKeyFunction [ScheduleStatus] #
FromJSON ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods parseJSON :: Value -> Parser ScheduleStatus # parseJSONList :: Value -> Parser [ScheduleStatus] #
FromJSONKey ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods fromJSONKey :: FromJSONKeyFunction ScheduleStatus # fromJSONKeyList :: FromJSONKeyFunction [ScheduleStatus] #
ToLog ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods build :: ScheduleStatus -> ByteStringBuilder #
ToHeader ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toHeader :: HeaderName -> ScheduleStatus -> [Header] #
ToQuery ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toQuery :: ScheduleStatus -> QueryString #
FromXML ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods parseXML :: [Node] -> Either String ScheduleStatus #
ToXML ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toXML :: ScheduleStatus -> XML #
ToByteString ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toBS :: ScheduleStatus -> ByteString #
FromText ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods fromText :: Text -> Either String ScheduleStatus #
ToText ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus Methods toText :: ScheduleStatus -> Text #
type Rep ScheduleStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleStatus type Rep ScheduleStatus = D1 ('MetaData "ScheduleStatus" "Amazonka.SageMaker.Types.ScheduleStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "ScheduleStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SearchSortOrder

newtype SearchSortOrder Source #

Constructors

SearchSortOrder'
Fields fromSearchSortOrder :: Text

Bundled Patterns

pattern SearchSortOrder_Ascending :: SearchSortOrder
pattern SearchSortOrder_Descending :: SearchSortOrder

Instances

Instances details

Eq SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods (==) :: SearchSortOrder -> SearchSortOrder -> Bool # (/=) :: SearchSortOrder -> SearchSortOrder -> Bool #
Ord SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods compare :: SearchSortOrder -> SearchSortOrder -> Ordering # (<) :: SearchSortOrder -> SearchSortOrder -> Bool # (<=) :: SearchSortOrder -> SearchSortOrder -> Bool # (>) :: SearchSortOrder -> SearchSortOrder -> Bool # (>=) :: SearchSortOrder -> SearchSortOrder -> Bool # max :: SearchSortOrder -> SearchSortOrder -> SearchSortOrder # min :: SearchSortOrder -> SearchSortOrder -> SearchSortOrder #
Read SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods readsPrec :: Int -> ReadS SearchSortOrder # readList :: ReadS [SearchSortOrder] # readPrec :: ReadPrec SearchSortOrder # readListPrec :: ReadPrec [SearchSortOrder] #
Show SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods showsPrec :: Int -> SearchSortOrder -> ShowS # show :: SearchSortOrder -> String # showList :: [SearchSortOrder] -> ShowS #
Generic SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Associated Types type Rep SearchSortOrder :: Type -> Type # Methods from :: SearchSortOrder -> Rep SearchSortOrder x # to :: Rep SearchSortOrder x -> SearchSortOrder #
NFData SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods rnf :: SearchSortOrder -> () #
Hashable SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods hashWithSalt :: Int -> SearchSortOrder -> Int # hash :: SearchSortOrder -> Int #
ToJSON SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toJSON :: SearchSortOrder -> Value # toEncoding :: SearchSortOrder -> Encoding # toJSONList :: [SearchSortOrder] -> Value # toEncodingList :: [SearchSortOrder] -> Encoding #
ToJSONKey SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toJSONKey :: ToJSONKeyFunction SearchSortOrder # toJSONKeyList :: ToJSONKeyFunction [SearchSortOrder] #
FromJSON SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods parseJSON :: Value -> Parser SearchSortOrder # parseJSONList :: Value -> Parser [SearchSortOrder] #
FromJSONKey SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods fromJSONKey :: FromJSONKeyFunction SearchSortOrder # fromJSONKeyList :: FromJSONKeyFunction [SearchSortOrder] #
ToLog SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods build :: SearchSortOrder -> ByteStringBuilder #
ToHeader SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toHeader :: HeaderName -> SearchSortOrder -> [Header] #
ToQuery SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toQuery :: SearchSortOrder -> QueryString #
FromXML SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods parseXML :: [Node] -> Either String SearchSortOrder #
ToXML SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toXML :: SearchSortOrder -> XML #
ToByteString SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toBS :: SearchSortOrder -> ByteString #
FromText SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods fromText :: Text -> Either String SearchSortOrder #
ToText SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder Methods toText :: SearchSortOrder -> Text #
type Rep SearchSortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchSortOrder type Rep SearchSortOrder = D1 ('MetaData "SearchSortOrder" "Amazonka.SageMaker.Types.SearchSortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SearchSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSearchSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SecondaryStatus

newtype SecondaryStatus Source #

Constructors

SecondaryStatus'
Fields fromSecondaryStatus :: Text

Bundled Patterns

pattern SecondaryStatus_Completed :: SecondaryStatus
pattern SecondaryStatus_Downloading :: SecondaryStatus
pattern SecondaryStatus_DownloadingTrainingImage :: SecondaryStatus
pattern SecondaryStatus_Failed :: SecondaryStatus
pattern SecondaryStatus_Interrupted :: SecondaryStatus
pattern SecondaryStatus_LaunchingMLInstances :: SecondaryStatus
pattern SecondaryStatus_MaxRuntimeExceeded :: SecondaryStatus
pattern SecondaryStatus_MaxWaitTimeExceeded :: SecondaryStatus
pattern SecondaryStatus_PreparingTrainingStack :: SecondaryStatus
pattern SecondaryStatus_Restarting :: SecondaryStatus
pattern SecondaryStatus_Starting :: SecondaryStatus
pattern SecondaryStatus_Stopped :: SecondaryStatus
pattern SecondaryStatus_Stopping :: SecondaryStatus
pattern SecondaryStatus_Training :: SecondaryStatus
pattern SecondaryStatus_Updating :: SecondaryStatus
pattern SecondaryStatus_Uploading :: SecondaryStatus

Instances

Instances details

Eq SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods (==) :: SecondaryStatus -> SecondaryStatus -> Bool # (/=) :: SecondaryStatus -> SecondaryStatus -> Bool #
Ord SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods compare :: SecondaryStatus -> SecondaryStatus -> Ordering # (<) :: SecondaryStatus -> SecondaryStatus -> Bool # (<=) :: SecondaryStatus -> SecondaryStatus -> Bool # (>) :: SecondaryStatus -> SecondaryStatus -> Bool # (>=) :: SecondaryStatus -> SecondaryStatus -> Bool # max :: SecondaryStatus -> SecondaryStatus -> SecondaryStatus # min :: SecondaryStatus -> SecondaryStatus -> SecondaryStatus #
Read SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods readsPrec :: Int -> ReadS SecondaryStatus # readList :: ReadS [SecondaryStatus] # readPrec :: ReadPrec SecondaryStatus # readListPrec :: ReadPrec [SecondaryStatus] #
Show SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods showsPrec :: Int -> SecondaryStatus -> ShowS # show :: SecondaryStatus -> String # showList :: [SecondaryStatus] -> ShowS #
Generic SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Associated Types type Rep SecondaryStatus :: Type -> Type # Methods from :: SecondaryStatus -> Rep SecondaryStatus x # to :: Rep SecondaryStatus x -> SecondaryStatus #
NFData SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods rnf :: SecondaryStatus -> () #
Hashable SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods hashWithSalt :: Int -> SecondaryStatus -> Int # hash :: SecondaryStatus -> Int #
ToJSON SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toJSON :: SecondaryStatus -> Value # toEncoding :: SecondaryStatus -> Encoding # toJSONList :: [SecondaryStatus] -> Value # toEncodingList :: [SecondaryStatus] -> Encoding #
ToJSONKey SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toJSONKey :: ToJSONKeyFunction SecondaryStatus # toJSONKeyList :: ToJSONKeyFunction [SecondaryStatus] #
FromJSON SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods parseJSON :: Value -> Parser SecondaryStatus # parseJSONList :: Value -> Parser [SecondaryStatus] #
FromJSONKey SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods fromJSONKey :: FromJSONKeyFunction SecondaryStatus # fromJSONKeyList :: FromJSONKeyFunction [SecondaryStatus] #
ToLog SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods build :: SecondaryStatus -> ByteStringBuilder #
ToHeader SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toHeader :: HeaderName -> SecondaryStatus -> [Header] #
ToQuery SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toQuery :: SecondaryStatus -> QueryString #
FromXML SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods parseXML :: [Node] -> Either String SecondaryStatus #
ToXML SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toXML :: SecondaryStatus -> XML #
ToByteString SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toBS :: SecondaryStatus -> ByteString #
FromText SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods fromText :: Text -> Either String SecondaryStatus #
ToText SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus Methods toText :: SecondaryStatus -> Text #
type Rep SecondaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatus type Rep SecondaryStatus = D1 ('MetaData "SecondaryStatus" "Amazonka.SageMaker.Types.SecondaryStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SecondaryStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortActionsBy

newtype SortActionsBy Source #

Constructors

SortActionsBy'
Fields fromSortActionsBy :: Text

Bundled Patterns

pattern SortActionsBy_CreationTime :: SortActionsBy
pattern SortActionsBy_Name :: SortActionsBy

Instances

Instances details

Eq SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods (==) :: SortActionsBy -> SortActionsBy -> Bool # (/=) :: SortActionsBy -> SortActionsBy -> Bool #
Ord SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods compare :: SortActionsBy -> SortActionsBy -> Ordering # (<) :: SortActionsBy -> SortActionsBy -> Bool # (<=) :: SortActionsBy -> SortActionsBy -> Bool # (>) :: SortActionsBy -> SortActionsBy -> Bool # (>=) :: SortActionsBy -> SortActionsBy -> Bool # max :: SortActionsBy -> SortActionsBy -> SortActionsBy # min :: SortActionsBy -> SortActionsBy -> SortActionsBy #
Read SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods readsPrec :: Int -> ReadS SortActionsBy # readList :: ReadS [SortActionsBy] # readPrec :: ReadPrec SortActionsBy # readListPrec :: ReadPrec [SortActionsBy] #
Show SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods showsPrec :: Int -> SortActionsBy -> ShowS # show :: SortActionsBy -> String # showList :: [SortActionsBy] -> ShowS #
Generic SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Associated Types type Rep SortActionsBy :: Type -> Type # Methods from :: SortActionsBy -> Rep SortActionsBy x # to :: Rep SortActionsBy x -> SortActionsBy #
NFData SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods rnf :: SortActionsBy -> () #
Hashable SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods hashWithSalt :: Int -> SortActionsBy -> Int # hash :: SortActionsBy -> Int #
ToJSON SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toJSON :: SortActionsBy -> Value # toEncoding :: SortActionsBy -> Encoding # toJSONList :: [SortActionsBy] -> Value # toEncodingList :: [SortActionsBy] -> Encoding #
ToJSONKey SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toJSONKey :: ToJSONKeyFunction SortActionsBy # toJSONKeyList :: ToJSONKeyFunction [SortActionsBy] #
FromJSON SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods parseJSON :: Value -> Parser SortActionsBy # parseJSONList :: Value -> Parser [SortActionsBy] #
FromJSONKey SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods fromJSONKey :: FromJSONKeyFunction SortActionsBy # fromJSONKeyList :: FromJSONKeyFunction [SortActionsBy] #
ToLog SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods build :: SortActionsBy -> ByteStringBuilder #
ToHeader SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toHeader :: HeaderName -> SortActionsBy -> [Header] #
ToQuery SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toQuery :: SortActionsBy -> QueryString #
FromXML SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods parseXML :: [Node] -> Either String SortActionsBy #
ToXML SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toXML :: SortActionsBy -> XML #
ToByteString SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toBS :: SortActionsBy -> ByteString #
FromText SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods fromText :: Text -> Either String SortActionsBy #
ToText SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy Methods toText :: SortActionsBy -> Text #
type Rep SortActionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortActionsBy type Rep SortActionsBy = D1 ('MetaData "SortActionsBy" "Amazonka.SageMaker.Types.SortActionsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortActionsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortActionsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortArtifactsBy

newtype SortArtifactsBy Source #

Constructors

SortArtifactsBy'
Fields fromSortArtifactsBy :: Text

Bundled Patterns

pattern SortArtifactsBy_CreationTime :: SortArtifactsBy

Instances

Instances details

Eq SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods (==) :: SortArtifactsBy -> SortArtifactsBy -> Bool # (/=) :: SortArtifactsBy -> SortArtifactsBy -> Bool #
Ord SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods compare :: SortArtifactsBy -> SortArtifactsBy -> Ordering # (<) :: SortArtifactsBy -> SortArtifactsBy -> Bool # (<=) :: SortArtifactsBy -> SortArtifactsBy -> Bool # (>) :: SortArtifactsBy -> SortArtifactsBy -> Bool # (>=) :: SortArtifactsBy -> SortArtifactsBy -> Bool # max :: SortArtifactsBy -> SortArtifactsBy -> SortArtifactsBy # min :: SortArtifactsBy -> SortArtifactsBy -> SortArtifactsBy #
Read SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods readsPrec :: Int -> ReadS SortArtifactsBy # readList :: ReadS [SortArtifactsBy] # readPrec :: ReadPrec SortArtifactsBy # readListPrec :: ReadPrec [SortArtifactsBy] #
Show SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods showsPrec :: Int -> SortArtifactsBy -> ShowS # show :: SortArtifactsBy -> String # showList :: [SortArtifactsBy] -> ShowS #
Generic SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Associated Types type Rep SortArtifactsBy :: Type -> Type # Methods from :: SortArtifactsBy -> Rep SortArtifactsBy x # to :: Rep SortArtifactsBy x -> SortArtifactsBy #
NFData SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods rnf :: SortArtifactsBy -> () #
Hashable SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods hashWithSalt :: Int -> SortArtifactsBy -> Int # hash :: SortArtifactsBy -> Int #
ToJSON SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toJSON :: SortArtifactsBy -> Value # toEncoding :: SortArtifactsBy -> Encoding # toJSONList :: [SortArtifactsBy] -> Value # toEncodingList :: [SortArtifactsBy] -> Encoding #
ToJSONKey SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toJSONKey :: ToJSONKeyFunction SortArtifactsBy # toJSONKeyList :: ToJSONKeyFunction [SortArtifactsBy] #
FromJSON SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods parseJSON :: Value -> Parser SortArtifactsBy # parseJSONList :: Value -> Parser [SortArtifactsBy] #
FromJSONKey SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods fromJSONKey :: FromJSONKeyFunction SortArtifactsBy # fromJSONKeyList :: FromJSONKeyFunction [SortArtifactsBy] #
ToLog SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods build :: SortArtifactsBy -> ByteStringBuilder #
ToHeader SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toHeader :: HeaderName -> SortArtifactsBy -> [Header] #
ToQuery SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toQuery :: SortArtifactsBy -> QueryString #
FromXML SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods parseXML :: [Node] -> Either String SortArtifactsBy #
ToXML SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toXML :: SortArtifactsBy -> XML #
ToByteString SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toBS :: SortArtifactsBy -> ByteString #
FromText SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods fromText :: Text -> Either String SortArtifactsBy #
ToText SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy Methods toText :: SortArtifactsBy -> Text #
type Rep SortArtifactsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortArtifactsBy type Rep SortArtifactsBy = D1 ('MetaData "SortArtifactsBy" "Amazonka.SageMaker.Types.SortArtifactsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortArtifactsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortArtifactsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortAssociationsBy

newtype SortAssociationsBy Source #

Constructors

SortAssociationsBy'
Fields fromSortAssociationsBy :: Text

Bundled Patterns

pattern SortAssociationsBy_CreationTime :: SortAssociationsBy
pattern SortAssociationsBy_DestinationArn :: SortAssociationsBy
pattern SortAssociationsBy_DestinationType :: SortAssociationsBy
pattern SortAssociationsBy_SourceArn :: SortAssociationsBy
pattern SortAssociationsBy_SourceType :: SortAssociationsBy

Instances

Instances details

Eq SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods (==) :: SortAssociationsBy -> SortAssociationsBy -> Bool # (/=) :: SortAssociationsBy -> SortAssociationsBy -> Bool #
Ord SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods compare :: SortAssociationsBy -> SortAssociationsBy -> Ordering # (<) :: SortAssociationsBy -> SortAssociationsBy -> Bool # (<=) :: SortAssociationsBy -> SortAssociationsBy -> Bool # (>) :: SortAssociationsBy -> SortAssociationsBy -> Bool # (>=) :: SortAssociationsBy -> SortAssociationsBy -> Bool # max :: SortAssociationsBy -> SortAssociationsBy -> SortAssociationsBy # min :: SortAssociationsBy -> SortAssociationsBy -> SortAssociationsBy #
Read SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods readsPrec :: Int -> ReadS SortAssociationsBy # readList :: ReadS [SortAssociationsBy] # readPrec :: ReadPrec SortAssociationsBy # readListPrec :: ReadPrec [SortAssociationsBy] #
Show SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods showsPrec :: Int -> SortAssociationsBy -> ShowS # show :: SortAssociationsBy -> String # showList :: [SortAssociationsBy] -> ShowS #
Generic SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Associated Types type Rep SortAssociationsBy :: Type -> Type # Methods from :: SortAssociationsBy -> Rep SortAssociationsBy x # to :: Rep SortAssociationsBy x -> SortAssociationsBy #
NFData SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods rnf :: SortAssociationsBy -> () #
Hashable SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods hashWithSalt :: Int -> SortAssociationsBy -> Int # hash :: SortAssociationsBy -> Int #
ToJSON SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toJSON :: SortAssociationsBy -> Value # toEncoding :: SortAssociationsBy -> Encoding # toJSONList :: [SortAssociationsBy] -> Value # toEncodingList :: [SortAssociationsBy] -> Encoding #
ToJSONKey SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toJSONKey :: ToJSONKeyFunction SortAssociationsBy # toJSONKeyList :: ToJSONKeyFunction [SortAssociationsBy] #
FromJSON SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods parseJSON :: Value -> Parser SortAssociationsBy # parseJSONList :: Value -> Parser [SortAssociationsBy] #
FromJSONKey SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods fromJSONKey :: FromJSONKeyFunction SortAssociationsBy # fromJSONKeyList :: FromJSONKeyFunction [SortAssociationsBy] #
ToLog SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods build :: SortAssociationsBy -> ByteStringBuilder #
ToHeader SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toHeader :: HeaderName -> SortAssociationsBy -> [Header] #
ToQuery SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toQuery :: SortAssociationsBy -> QueryString #
FromXML SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods parseXML :: [Node] -> Either String SortAssociationsBy #
ToXML SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toXML :: SortAssociationsBy -> XML #
ToByteString SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toBS :: SortAssociationsBy -> ByteString #
FromText SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods fromText :: Text -> Either String SortAssociationsBy #
ToText SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy Methods toText :: SortAssociationsBy -> Text #
type Rep SortAssociationsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortAssociationsBy type Rep SortAssociationsBy = D1 ('MetaData "SortAssociationsBy" "Amazonka.SageMaker.Types.SortAssociationsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortAssociationsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortAssociationsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortBy

newtype SortBy Source #

Constructors

SortBy'
Fields fromSortBy :: Text

Bundled Patterns

pattern SortBy_CreationTime :: SortBy
pattern SortBy_Name :: SortBy
pattern SortBy_Status :: SortBy

Instances

Instances details

Eq SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods (==) :: SortBy -> SortBy -> Bool # (/=) :: SortBy -> SortBy -> Bool #
Ord SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods compare :: SortBy -> SortBy -> Ordering # (<) :: SortBy -> SortBy -> Bool # (<=) :: SortBy -> SortBy -> Bool # (>) :: SortBy -> SortBy -> Bool # (>=) :: SortBy -> SortBy -> Bool # max :: SortBy -> SortBy -> SortBy # min :: SortBy -> SortBy -> SortBy #
Read SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods readsPrec :: Int -> ReadS SortBy # readList :: ReadS [SortBy] # readPrec :: ReadPrec SortBy # readListPrec :: ReadPrec [SortBy] #
Show SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods showsPrec :: Int -> SortBy -> ShowS # show :: SortBy -> String # showList :: [SortBy] -> ShowS #
Generic SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Associated Types type Rep SortBy :: Type -> Type # Methods from :: SortBy -> Rep SortBy x # to :: Rep SortBy x -> SortBy #
NFData SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods rnf :: SortBy -> () #
Hashable SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods hashWithSalt :: Int -> SortBy -> Int # hash :: SortBy -> Int #
ToJSON SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toJSON :: SortBy -> Value # toEncoding :: SortBy -> Encoding # toJSONList :: [SortBy] -> Value # toEncodingList :: [SortBy] -> Encoding #
ToJSONKey SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toJSONKey :: ToJSONKeyFunction SortBy # toJSONKeyList :: ToJSONKeyFunction [SortBy] #
FromJSON SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods parseJSON :: Value -> Parser SortBy # parseJSONList :: Value -> Parser [SortBy] #
FromJSONKey SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods fromJSONKey :: FromJSONKeyFunction SortBy # fromJSONKeyList :: FromJSONKeyFunction [SortBy] #
ToLog SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods build :: SortBy -> ByteStringBuilder #
ToHeader SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toHeader :: HeaderName -> SortBy -> [Header] #
ToQuery SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toQuery :: SortBy -> QueryString #
FromXML SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods parseXML :: [Node] -> Either String SortBy #
ToXML SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toXML :: SortBy -> XML #
ToByteString SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toBS :: SortBy -> ByteString #
FromText SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods fromText :: Text -> Either String SortBy #
ToText SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy Methods toText :: SortBy -> Text #
type Rep SortBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortBy type Rep SortBy = D1 ('MetaData "SortBy" "Amazonka.SageMaker.Types.SortBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortContextsBy

newtype SortContextsBy Source #

Constructors

SortContextsBy'
Fields fromSortContextsBy :: Text

Bundled Patterns

pattern SortContextsBy_CreationTime :: SortContextsBy
pattern SortContextsBy_Name :: SortContextsBy

Instances

Instances details

Eq SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods (==) :: SortContextsBy -> SortContextsBy -> Bool # (/=) :: SortContextsBy -> SortContextsBy -> Bool #
Ord SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods compare :: SortContextsBy -> SortContextsBy -> Ordering # (<) :: SortContextsBy -> SortContextsBy -> Bool # (<=) :: SortContextsBy -> SortContextsBy -> Bool # (>) :: SortContextsBy -> SortContextsBy -> Bool # (>=) :: SortContextsBy -> SortContextsBy -> Bool # max :: SortContextsBy -> SortContextsBy -> SortContextsBy # min :: SortContextsBy -> SortContextsBy -> SortContextsBy #
Read SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods readsPrec :: Int -> ReadS SortContextsBy # readList :: ReadS [SortContextsBy] # readPrec :: ReadPrec SortContextsBy # readListPrec :: ReadPrec [SortContextsBy] #
Show SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods showsPrec :: Int -> SortContextsBy -> ShowS # show :: SortContextsBy -> String # showList :: [SortContextsBy] -> ShowS #
Generic SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Associated Types type Rep SortContextsBy :: Type -> Type # Methods from :: SortContextsBy -> Rep SortContextsBy x # to :: Rep SortContextsBy x -> SortContextsBy #
NFData SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods rnf :: SortContextsBy -> () #
Hashable SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods hashWithSalt :: Int -> SortContextsBy -> Int # hash :: SortContextsBy -> Int #
ToJSON SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toJSON :: SortContextsBy -> Value # toEncoding :: SortContextsBy -> Encoding # toJSONList :: [SortContextsBy] -> Value # toEncodingList :: [SortContextsBy] -> Encoding #
ToJSONKey SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toJSONKey :: ToJSONKeyFunction SortContextsBy # toJSONKeyList :: ToJSONKeyFunction [SortContextsBy] #
FromJSON SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods parseJSON :: Value -> Parser SortContextsBy # parseJSONList :: Value -> Parser [SortContextsBy] #
FromJSONKey SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods fromJSONKey :: FromJSONKeyFunction SortContextsBy # fromJSONKeyList :: FromJSONKeyFunction [SortContextsBy] #
ToLog SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods build :: SortContextsBy -> ByteStringBuilder #
ToHeader SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toHeader :: HeaderName -> SortContextsBy -> [Header] #
ToQuery SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toQuery :: SortContextsBy -> QueryString #
FromXML SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods parseXML :: [Node] -> Either String SortContextsBy #
ToXML SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toXML :: SortContextsBy -> XML #
ToByteString SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toBS :: SortContextsBy -> ByteString #
FromText SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods fromText :: Text -> Either String SortContextsBy #
ToText SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy Methods toText :: SortContextsBy -> Text #
type Rep SortContextsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortContextsBy type Rep SortContextsBy = D1 ('MetaData "SortContextsBy" "Amazonka.SageMaker.Types.SortContextsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortContextsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortContextsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortExperimentsBy

newtype SortExperimentsBy Source #

Constructors

SortExperimentsBy'
Fields fromSortExperimentsBy :: Text

Bundled Patterns

pattern SortExperimentsBy_CreationTime :: SortExperimentsBy
pattern SortExperimentsBy_Name :: SortExperimentsBy

Instances

Instances details

Eq SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods (==) :: SortExperimentsBy -> SortExperimentsBy -> Bool # (/=) :: SortExperimentsBy -> SortExperimentsBy -> Bool #
Ord SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods compare :: SortExperimentsBy -> SortExperimentsBy -> Ordering # (<) :: SortExperimentsBy -> SortExperimentsBy -> Bool # (<=) :: SortExperimentsBy -> SortExperimentsBy -> Bool # (>) :: SortExperimentsBy -> SortExperimentsBy -> Bool # (>=) :: SortExperimentsBy -> SortExperimentsBy -> Bool # max :: SortExperimentsBy -> SortExperimentsBy -> SortExperimentsBy # min :: SortExperimentsBy -> SortExperimentsBy -> SortExperimentsBy #
Read SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods readsPrec :: Int -> ReadS SortExperimentsBy # readList :: ReadS [SortExperimentsBy] # readPrec :: ReadPrec SortExperimentsBy # readListPrec :: ReadPrec [SortExperimentsBy] #
Show SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods showsPrec :: Int -> SortExperimentsBy -> ShowS # show :: SortExperimentsBy -> String # showList :: [SortExperimentsBy] -> ShowS #
Generic SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Associated Types type Rep SortExperimentsBy :: Type -> Type # Methods from :: SortExperimentsBy -> Rep SortExperimentsBy x # to :: Rep SortExperimentsBy x -> SortExperimentsBy #
NFData SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods rnf :: SortExperimentsBy -> () #
Hashable SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods hashWithSalt :: Int -> SortExperimentsBy -> Int # hash :: SortExperimentsBy -> Int #
ToJSON SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toJSON :: SortExperimentsBy -> Value # toEncoding :: SortExperimentsBy -> Encoding # toJSONList :: [SortExperimentsBy] -> Value # toEncodingList :: [SortExperimentsBy] -> Encoding #
ToJSONKey SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toJSONKey :: ToJSONKeyFunction SortExperimentsBy # toJSONKeyList :: ToJSONKeyFunction [SortExperimentsBy] #
FromJSON SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods parseJSON :: Value -> Parser SortExperimentsBy # parseJSONList :: Value -> Parser [SortExperimentsBy] #
FromJSONKey SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods fromJSONKey :: FromJSONKeyFunction SortExperimentsBy # fromJSONKeyList :: FromJSONKeyFunction [SortExperimentsBy] #
ToLog SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods build :: SortExperimentsBy -> ByteStringBuilder #
ToHeader SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toHeader :: HeaderName -> SortExperimentsBy -> [Header] #
ToQuery SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toQuery :: SortExperimentsBy -> QueryString #
FromXML SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods parseXML :: [Node] -> Either String SortExperimentsBy #
ToXML SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toXML :: SortExperimentsBy -> XML #
ToByteString SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toBS :: SortExperimentsBy -> ByteString #
FromText SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods fromText :: Text -> Either String SortExperimentsBy #
ToText SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy Methods toText :: SortExperimentsBy -> Text #
type Rep SortExperimentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortExperimentsBy type Rep SortExperimentsBy = D1 ('MetaData "SortExperimentsBy" "Amazonka.SageMaker.Types.SortExperimentsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortExperimentsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortExperimentsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortOrder

newtype SortOrder Source #

Constructors

SortOrder'
Fields fromSortOrder :: Text

Bundled Patterns

pattern SortOrder_Ascending :: SortOrder
pattern SortOrder_Descending :: SortOrder

Instances

Instances details

Eq SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods (==) :: SortOrder -> SortOrder -> Bool # (/=) :: SortOrder -> SortOrder -> Bool #
Ord SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods compare :: SortOrder -> SortOrder -> Ordering # (<) :: SortOrder -> SortOrder -> Bool # (<=) :: SortOrder -> SortOrder -> Bool # (>) :: SortOrder -> SortOrder -> Bool # (>=) :: SortOrder -> SortOrder -> Bool # max :: SortOrder -> SortOrder -> SortOrder # min :: SortOrder -> SortOrder -> SortOrder #
Read SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods readsPrec :: Int -> ReadS SortOrder # readList :: ReadS [SortOrder] # readPrec :: ReadPrec SortOrder # readListPrec :: ReadPrec [SortOrder] #
Show SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods showsPrec :: Int -> SortOrder -> ShowS # show :: SortOrder -> String # showList :: [SortOrder] -> ShowS #
Generic SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Associated Types type Rep SortOrder :: Type -> Type # Methods from :: SortOrder -> Rep SortOrder x # to :: Rep SortOrder x -> SortOrder #
NFData SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods rnf :: SortOrder -> () #
Hashable SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods hashWithSalt :: Int -> SortOrder -> Int # hash :: SortOrder -> Int #
ToJSON SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toJSON :: SortOrder -> Value # toEncoding :: SortOrder -> Encoding # toJSONList :: [SortOrder] -> Value # toEncodingList :: [SortOrder] -> Encoding #
ToJSONKey SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toJSONKey :: ToJSONKeyFunction SortOrder # toJSONKeyList :: ToJSONKeyFunction [SortOrder] #
FromJSON SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods parseJSON :: Value -> Parser SortOrder # parseJSONList :: Value -> Parser [SortOrder] #
FromJSONKey SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods fromJSONKey :: FromJSONKeyFunction SortOrder # fromJSONKeyList :: FromJSONKeyFunction [SortOrder] #
ToLog SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods build :: SortOrder -> ByteStringBuilder #
ToHeader SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toHeader :: HeaderName -> SortOrder -> [Header] #
ToQuery SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toQuery :: SortOrder -> QueryString #
FromXML SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods parseXML :: [Node] -> Either String SortOrder #
ToXML SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toXML :: SortOrder -> XML #
ToByteString SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toBS :: SortOrder -> ByteString #
FromText SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods fromText :: Text -> Either String SortOrder #
ToText SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder Methods toText :: SortOrder -> Text #
type Rep SortOrder Source #
Instance details Defined in Amazonka.SageMaker.Types.SortOrder type Rep SortOrder = D1 ('MetaData "SortOrder" "Amazonka.SageMaker.Types.SortOrder" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortPipelineExecutionsBy

newtype SortPipelineExecutionsBy Source #

Constructors

SortPipelineExecutionsBy'
Fields fromSortPipelineExecutionsBy :: Text

Bundled Patterns

pattern SortPipelineExecutionsBy_CreationTime :: SortPipelineExecutionsBy
pattern SortPipelineExecutionsBy_PipelineExecutionArn :: SortPipelineExecutionsBy

Instances

Instances details

Eq SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods (==) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool # (/=) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #
Ord SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods compare :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Ordering # (<) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool # (<=) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool # (>) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool # (>=) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool # max :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> SortPipelineExecutionsBy # min :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> SortPipelineExecutionsBy #
Read SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods readsPrec :: Int -> ReadS SortPipelineExecutionsBy # readList :: ReadS [SortPipelineExecutionsBy] # readPrec :: ReadPrec SortPipelineExecutionsBy # readListPrec :: ReadPrec [SortPipelineExecutionsBy] #
Show SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods showsPrec :: Int -> SortPipelineExecutionsBy -> ShowS # show :: SortPipelineExecutionsBy -> String # showList :: [SortPipelineExecutionsBy] -> ShowS #
Generic SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Associated Types type Rep SortPipelineExecutionsBy :: Type -> Type # Methods from :: SortPipelineExecutionsBy -> Rep SortPipelineExecutionsBy x # to :: Rep SortPipelineExecutionsBy x -> SortPipelineExecutionsBy #
NFData SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods rnf :: SortPipelineExecutionsBy -> () #
Hashable SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods hashWithSalt :: Int -> SortPipelineExecutionsBy -> Int # hash :: SortPipelineExecutionsBy -> Int #
ToJSON SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toJSON :: SortPipelineExecutionsBy -> Value # toEncoding :: SortPipelineExecutionsBy -> Encoding # toJSONList :: [SortPipelineExecutionsBy] -> Value # toEncodingList :: [SortPipelineExecutionsBy] -> Encoding #
ToJSONKey SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toJSONKey :: ToJSONKeyFunction SortPipelineExecutionsBy # toJSONKeyList :: ToJSONKeyFunction [SortPipelineExecutionsBy] #
FromJSON SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods parseJSON :: Value -> Parser SortPipelineExecutionsBy # parseJSONList :: Value -> Parser [SortPipelineExecutionsBy] #
FromJSONKey SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods fromJSONKey :: FromJSONKeyFunction SortPipelineExecutionsBy # fromJSONKeyList :: FromJSONKeyFunction [SortPipelineExecutionsBy] #
ToLog SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods build :: SortPipelineExecutionsBy -> ByteStringBuilder #
ToHeader SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toHeader :: HeaderName -> SortPipelineExecutionsBy -> [Header] #
ToQuery SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toQuery :: SortPipelineExecutionsBy -> QueryString #
FromXML SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods parseXML :: [Node] -> Either String SortPipelineExecutionsBy #
ToXML SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toXML :: SortPipelineExecutionsBy -> XML #
ToByteString SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toBS :: SortPipelineExecutionsBy -> ByteString #
FromText SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods fromText :: Text -> Either String SortPipelineExecutionsBy #
ToText SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy Methods toText :: SortPipelineExecutionsBy -> Text #
type Rep SortPipelineExecutionsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy type Rep SortPipelineExecutionsBy = D1 ('MetaData "SortPipelineExecutionsBy" "Amazonka.SageMaker.Types.SortPipelineExecutionsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortPipelineExecutionsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortPipelineExecutionsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortPipelinesBy

newtype SortPipelinesBy Source #

Constructors

SortPipelinesBy'
Fields fromSortPipelinesBy :: Text

Bundled Patterns

pattern SortPipelinesBy_CreationTime :: SortPipelinesBy
pattern SortPipelinesBy_Name :: SortPipelinesBy

Instances

Instances details

Eq SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods (==) :: SortPipelinesBy -> SortPipelinesBy -> Bool # (/=) :: SortPipelinesBy -> SortPipelinesBy -> Bool #
Ord SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods compare :: SortPipelinesBy -> SortPipelinesBy -> Ordering # (<) :: SortPipelinesBy -> SortPipelinesBy -> Bool # (<=) :: SortPipelinesBy -> SortPipelinesBy -> Bool # (>) :: SortPipelinesBy -> SortPipelinesBy -> Bool # (>=) :: SortPipelinesBy -> SortPipelinesBy -> Bool # max :: SortPipelinesBy -> SortPipelinesBy -> SortPipelinesBy # min :: SortPipelinesBy -> SortPipelinesBy -> SortPipelinesBy #
Read SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods readsPrec :: Int -> ReadS SortPipelinesBy # readList :: ReadS [SortPipelinesBy] # readPrec :: ReadPrec SortPipelinesBy # readListPrec :: ReadPrec [SortPipelinesBy] #
Show SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods showsPrec :: Int -> SortPipelinesBy -> ShowS # show :: SortPipelinesBy -> String # showList :: [SortPipelinesBy] -> ShowS #
Generic SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Associated Types type Rep SortPipelinesBy :: Type -> Type # Methods from :: SortPipelinesBy -> Rep SortPipelinesBy x # to :: Rep SortPipelinesBy x -> SortPipelinesBy #
NFData SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods rnf :: SortPipelinesBy -> () #
Hashable SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods hashWithSalt :: Int -> SortPipelinesBy -> Int # hash :: SortPipelinesBy -> Int #
ToJSON SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toJSON :: SortPipelinesBy -> Value # toEncoding :: SortPipelinesBy -> Encoding # toJSONList :: [SortPipelinesBy] -> Value # toEncodingList :: [SortPipelinesBy] -> Encoding #
ToJSONKey SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toJSONKey :: ToJSONKeyFunction SortPipelinesBy # toJSONKeyList :: ToJSONKeyFunction [SortPipelinesBy] #
FromJSON SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods parseJSON :: Value -> Parser SortPipelinesBy # parseJSONList :: Value -> Parser [SortPipelinesBy] #
FromJSONKey SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods fromJSONKey :: FromJSONKeyFunction SortPipelinesBy # fromJSONKeyList :: FromJSONKeyFunction [SortPipelinesBy] #
ToLog SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods build :: SortPipelinesBy -> ByteStringBuilder #
ToHeader SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toHeader :: HeaderName -> SortPipelinesBy -> [Header] #
ToQuery SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toQuery :: SortPipelinesBy -> QueryString #
FromXML SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods parseXML :: [Node] -> Either String SortPipelinesBy #
ToXML SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toXML :: SortPipelinesBy -> XML #
ToByteString SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toBS :: SortPipelinesBy -> ByteString #
FromText SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods fromText :: Text -> Either String SortPipelinesBy #
ToText SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy Methods toText :: SortPipelinesBy -> Text #
type Rep SortPipelinesBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortPipelinesBy type Rep SortPipelinesBy = D1 ('MetaData "SortPipelinesBy" "Amazonka.SageMaker.Types.SortPipelinesBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortPipelinesBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortPipelinesBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortTrialComponentsBy

newtype SortTrialComponentsBy Source #

Constructors

SortTrialComponentsBy'
Fields fromSortTrialComponentsBy :: Text

Bundled Patterns

pattern SortTrialComponentsBy_CreationTime :: SortTrialComponentsBy
pattern SortTrialComponentsBy_Name :: SortTrialComponentsBy

Instances

Instances details

Eq SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods (==) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool # (/=) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #
Ord SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods compare :: SortTrialComponentsBy -> SortTrialComponentsBy -> Ordering # (<) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool # (<=) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool # (>) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool # (>=) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool # max :: SortTrialComponentsBy -> SortTrialComponentsBy -> SortTrialComponentsBy # min :: SortTrialComponentsBy -> SortTrialComponentsBy -> SortTrialComponentsBy #
Read SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods readsPrec :: Int -> ReadS SortTrialComponentsBy # readList :: ReadS [SortTrialComponentsBy] # readPrec :: ReadPrec SortTrialComponentsBy # readListPrec :: ReadPrec [SortTrialComponentsBy] #
Show SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods showsPrec :: Int -> SortTrialComponentsBy -> ShowS # show :: SortTrialComponentsBy -> String # showList :: [SortTrialComponentsBy] -> ShowS #
Generic SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Associated Types type Rep SortTrialComponentsBy :: Type -> Type # Methods from :: SortTrialComponentsBy -> Rep SortTrialComponentsBy x # to :: Rep SortTrialComponentsBy x -> SortTrialComponentsBy #
NFData SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods rnf :: SortTrialComponentsBy -> () #
Hashable SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods hashWithSalt :: Int -> SortTrialComponentsBy -> Int # hash :: SortTrialComponentsBy -> Int #
ToJSON SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toJSON :: SortTrialComponentsBy -> Value # toEncoding :: SortTrialComponentsBy -> Encoding # toJSONList :: [SortTrialComponentsBy] -> Value # toEncodingList :: [SortTrialComponentsBy] -> Encoding #
ToJSONKey SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toJSONKey :: ToJSONKeyFunction SortTrialComponentsBy # toJSONKeyList :: ToJSONKeyFunction [SortTrialComponentsBy] #
FromJSON SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods parseJSON :: Value -> Parser SortTrialComponentsBy # parseJSONList :: Value -> Parser [SortTrialComponentsBy] #
FromJSONKey SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods fromJSONKey :: FromJSONKeyFunction SortTrialComponentsBy # fromJSONKeyList :: FromJSONKeyFunction [SortTrialComponentsBy] #
ToLog SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods build :: SortTrialComponentsBy -> ByteStringBuilder #
ToHeader SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toHeader :: HeaderName -> SortTrialComponentsBy -> [Header] #
ToQuery SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toQuery :: SortTrialComponentsBy -> QueryString #
FromXML SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods parseXML :: [Node] -> Either String SortTrialComponentsBy #
ToXML SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toXML :: SortTrialComponentsBy -> XML #
ToByteString SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toBS :: SortTrialComponentsBy -> ByteString #
FromText SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods fromText :: Text -> Either String SortTrialComponentsBy #
ToText SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy Methods toText :: SortTrialComponentsBy -> Text #
type Rep SortTrialComponentsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy type Rep SortTrialComponentsBy = D1 ('MetaData "SortTrialComponentsBy" "Amazonka.SageMaker.Types.SortTrialComponentsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortTrialComponentsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortTrialComponentsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortTrialsBy

newtype SortTrialsBy Source #

Constructors

SortTrialsBy'
Fields fromSortTrialsBy :: Text

Bundled Patterns

pattern SortTrialsBy_CreationTime :: SortTrialsBy
pattern SortTrialsBy_Name :: SortTrialsBy

Instances

Instances details

Eq SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods (==) :: SortTrialsBy -> SortTrialsBy -> Bool # (/=) :: SortTrialsBy -> SortTrialsBy -> Bool #
Ord SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods compare :: SortTrialsBy -> SortTrialsBy -> Ordering # (<) :: SortTrialsBy -> SortTrialsBy -> Bool # (<=) :: SortTrialsBy -> SortTrialsBy -> Bool # (>) :: SortTrialsBy -> SortTrialsBy -> Bool # (>=) :: SortTrialsBy -> SortTrialsBy -> Bool # max :: SortTrialsBy -> SortTrialsBy -> SortTrialsBy # min :: SortTrialsBy -> SortTrialsBy -> SortTrialsBy #
Read SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods readsPrec :: Int -> ReadS SortTrialsBy # readList :: ReadS [SortTrialsBy] # readPrec :: ReadPrec SortTrialsBy # readListPrec :: ReadPrec [SortTrialsBy] #
Show SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods showsPrec :: Int -> SortTrialsBy -> ShowS # show :: SortTrialsBy -> String # showList :: [SortTrialsBy] -> ShowS #
Generic SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Associated Types type Rep SortTrialsBy :: Type -> Type # Methods from :: SortTrialsBy -> Rep SortTrialsBy x # to :: Rep SortTrialsBy x -> SortTrialsBy #
NFData SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods rnf :: SortTrialsBy -> () #
Hashable SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods hashWithSalt :: Int -> SortTrialsBy -> Int # hash :: SortTrialsBy -> Int #
ToJSON SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toJSON :: SortTrialsBy -> Value # toEncoding :: SortTrialsBy -> Encoding # toJSONList :: [SortTrialsBy] -> Value # toEncodingList :: [SortTrialsBy] -> Encoding #
ToJSONKey SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toJSONKey :: ToJSONKeyFunction SortTrialsBy # toJSONKeyList :: ToJSONKeyFunction [SortTrialsBy] #
FromJSON SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods parseJSON :: Value -> Parser SortTrialsBy # parseJSONList :: Value -> Parser [SortTrialsBy] #
FromJSONKey SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods fromJSONKey :: FromJSONKeyFunction SortTrialsBy # fromJSONKeyList :: FromJSONKeyFunction [SortTrialsBy] #
ToLog SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods build :: SortTrialsBy -> ByteStringBuilder #
ToHeader SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toHeader :: HeaderName -> SortTrialsBy -> [Header] #
ToQuery SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toQuery :: SortTrialsBy -> QueryString #
FromXML SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods parseXML :: [Node] -> Either String SortTrialsBy #
ToXML SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toXML :: SortTrialsBy -> XML #
ToByteString SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toBS :: SortTrialsBy -> ByteString #
FromText SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods fromText :: Text -> Either String SortTrialsBy #
ToText SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy Methods toText :: SortTrialsBy -> Text #
type Rep SortTrialsBy Source #
Instance details Defined in Amazonka.SageMaker.Types.SortTrialsBy type Rep SortTrialsBy = D1 ('MetaData "SortTrialsBy" "Amazonka.SageMaker.Types.SortTrialsBy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SortTrialsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortTrialsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SplitType

newtype SplitType Source #

Constructors

SplitType'
Fields fromSplitType :: Text

Bundled Patterns

pattern SplitType_Line :: SplitType
pattern SplitType_None :: SplitType
pattern SplitType_RecordIO :: SplitType
pattern SplitType_TFRecord :: SplitType

Instances

Instances details

Eq SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods (==) :: SplitType -> SplitType -> Bool # (/=) :: SplitType -> SplitType -> Bool #
Ord SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods compare :: SplitType -> SplitType -> Ordering # (<) :: SplitType -> SplitType -> Bool # (<=) :: SplitType -> SplitType -> Bool # (>) :: SplitType -> SplitType -> Bool # (>=) :: SplitType -> SplitType -> Bool # max :: SplitType -> SplitType -> SplitType # min :: SplitType -> SplitType -> SplitType #
Read SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods readsPrec :: Int -> ReadS SplitType # readList :: ReadS [SplitType] # readPrec :: ReadPrec SplitType # readListPrec :: ReadPrec [SplitType] #
Show SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods showsPrec :: Int -> SplitType -> ShowS # show :: SplitType -> String # showList :: [SplitType] -> ShowS #
Generic SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Associated Types type Rep SplitType :: Type -> Type # Methods from :: SplitType -> Rep SplitType x # to :: Rep SplitType x -> SplitType #
NFData SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods rnf :: SplitType -> () #
Hashable SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods hashWithSalt :: Int -> SplitType -> Int # hash :: SplitType -> Int #
ToJSON SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toJSON :: SplitType -> Value # toEncoding :: SplitType -> Encoding # toJSONList :: [SplitType] -> Value # toEncodingList :: [SplitType] -> Encoding #
ToJSONKey SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toJSONKey :: ToJSONKeyFunction SplitType # toJSONKeyList :: ToJSONKeyFunction [SplitType] #
FromJSON SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods parseJSON :: Value -> Parser SplitType # parseJSONList :: Value -> Parser [SplitType] #
FromJSONKey SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods fromJSONKey :: FromJSONKeyFunction SplitType # fromJSONKeyList :: FromJSONKeyFunction [SplitType] #
ToLog SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods build :: SplitType -> ByteStringBuilder #
ToHeader SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toHeader :: HeaderName -> SplitType -> [Header] #
ToQuery SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toQuery :: SplitType -> QueryString #
FromXML SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods parseXML :: [Node] -> Either String SplitType #
ToXML SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toXML :: SplitType -> XML #
ToByteString SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toBS :: SplitType -> ByteString #
FromText SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods fromText :: Text -> Either String SplitType #
ToText SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType Methods toText :: SplitType -> Text #
type Rep SplitType Source #
Instance details Defined in Amazonka.SageMaker.Types.SplitType type Rep SplitType = D1 ('MetaData "SplitType" "Amazonka.SageMaker.Types.SplitType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "SplitType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSplitType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StepStatus

newtype StepStatus Source #

Constructors

StepStatus'
Fields fromStepStatus :: Text

Bundled Patterns

pattern StepStatus_Executing :: StepStatus
pattern StepStatus_Failed :: StepStatus
pattern StepStatus_Starting :: StepStatus
pattern StepStatus_Stopped :: StepStatus
pattern StepStatus_Stopping :: StepStatus
pattern StepStatus_Succeeded :: StepStatus

Instances

Instances details

Eq StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods (==) :: StepStatus -> StepStatus -> Bool # (/=) :: StepStatus -> StepStatus -> Bool #
Ord StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods compare :: StepStatus -> StepStatus -> Ordering # (<) :: StepStatus -> StepStatus -> Bool # (<=) :: StepStatus -> StepStatus -> Bool # (>) :: StepStatus -> StepStatus -> Bool # (>=) :: StepStatus -> StepStatus -> Bool # max :: StepStatus -> StepStatus -> StepStatus # min :: StepStatus -> StepStatus -> StepStatus #
Read StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods readsPrec :: Int -> ReadS StepStatus # readList :: ReadS [StepStatus] # readPrec :: ReadPrec StepStatus # readListPrec :: ReadPrec [StepStatus] #
Show StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods showsPrec :: Int -> StepStatus -> ShowS # show :: StepStatus -> String # showList :: [StepStatus] -> ShowS #
Generic StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Associated Types type Rep StepStatus :: Type -> Type # Methods from :: StepStatus -> Rep StepStatus x # to :: Rep StepStatus x -> StepStatus #
NFData StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods rnf :: StepStatus -> () #
Hashable StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods hashWithSalt :: Int -> StepStatus -> Int # hash :: StepStatus -> Int #
ToJSON StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toJSON :: StepStatus -> Value # toEncoding :: StepStatus -> Encoding # toJSONList :: [StepStatus] -> Value # toEncodingList :: [StepStatus] -> Encoding #
ToJSONKey StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toJSONKey :: ToJSONKeyFunction StepStatus # toJSONKeyList :: ToJSONKeyFunction [StepStatus] #
FromJSON StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods parseJSON :: Value -> Parser StepStatus # parseJSONList :: Value -> Parser [StepStatus] #
FromJSONKey StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods fromJSONKey :: FromJSONKeyFunction StepStatus # fromJSONKeyList :: FromJSONKeyFunction [StepStatus] #
ToLog StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods build :: StepStatus -> ByteStringBuilder #
ToHeader StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toHeader :: HeaderName -> StepStatus -> [Header] #
ToQuery StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toQuery :: StepStatus -> QueryString #
FromXML StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods parseXML :: [Node] -> Either String StepStatus #
ToXML StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toXML :: StepStatus -> XML #
ToByteString StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toBS :: StepStatus -> ByteString #
FromText StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods fromText :: Text -> Either String StepStatus #
ToText StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus Methods toText :: StepStatus -> Text #
type Rep StepStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.StepStatus type Rep StepStatus = D1 ('MetaData "StepStatus" "Amazonka.SageMaker.Types.StepStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "StepStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStepStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StudioLifecycleConfigAppType

newtype StudioLifecycleConfigAppType Source #

Constructors

StudioLifecycleConfigAppType'
Fields fromStudioLifecycleConfigAppType :: Text

Bundled Patterns

pattern StudioLifecycleConfigAppType_JupyterServer :: StudioLifecycleConfigAppType
pattern StudioLifecycleConfigAppType_KernelGateway :: StudioLifecycleConfigAppType

Instances

Instances details

Eq StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods (==) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool # (/=) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #
Ord StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods compare :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Ordering # (<) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool # (<=) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool # (>) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool # (>=) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool # max :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType # min :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType #
Read StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods readsPrec :: Int -> ReadS StudioLifecycleConfigAppType # readList :: ReadS [StudioLifecycleConfigAppType] # readPrec :: ReadPrec StudioLifecycleConfigAppType # readListPrec :: ReadPrec [StudioLifecycleConfigAppType] #
Show StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods showsPrec :: Int -> StudioLifecycleConfigAppType -> ShowS # show :: StudioLifecycleConfigAppType -> String # showList :: [StudioLifecycleConfigAppType] -> ShowS #
Generic StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Associated Types type Rep StudioLifecycleConfigAppType :: Type -> Type # Methods from :: StudioLifecycleConfigAppType -> Rep StudioLifecycleConfigAppType x # to :: Rep StudioLifecycleConfigAppType x -> StudioLifecycleConfigAppType #
NFData StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods rnf :: StudioLifecycleConfigAppType -> () #
Hashable StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods hashWithSalt :: Int -> StudioLifecycleConfigAppType -> Int # hash :: StudioLifecycleConfigAppType -> Int #
ToJSON StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toJSON :: StudioLifecycleConfigAppType -> Value # toEncoding :: StudioLifecycleConfigAppType -> Encoding # toJSONList :: [StudioLifecycleConfigAppType] -> Value # toEncodingList :: [StudioLifecycleConfigAppType] -> Encoding #
ToJSONKey StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toJSONKey :: ToJSONKeyFunction StudioLifecycleConfigAppType # toJSONKeyList :: ToJSONKeyFunction [StudioLifecycleConfigAppType] #
FromJSON StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods parseJSON :: Value -> Parser StudioLifecycleConfigAppType # parseJSONList :: Value -> Parser [StudioLifecycleConfigAppType] #
FromJSONKey StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods fromJSONKey :: FromJSONKeyFunction StudioLifecycleConfigAppType # fromJSONKeyList :: FromJSONKeyFunction [StudioLifecycleConfigAppType] #
ToLog StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods build :: StudioLifecycleConfigAppType -> ByteStringBuilder #
ToHeader StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toHeader :: HeaderName -> StudioLifecycleConfigAppType -> [Header] #
ToQuery StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toQuery :: StudioLifecycleConfigAppType -> QueryString #
FromXML StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods parseXML :: [Node] -> Either String StudioLifecycleConfigAppType #
ToXML StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toXML :: StudioLifecycleConfigAppType -> XML #
ToByteString StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toBS :: StudioLifecycleConfigAppType -> ByteString #
FromText StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods fromText :: Text -> Either String StudioLifecycleConfigAppType #
ToText StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType Methods toText :: StudioLifecycleConfigAppType -> Text #
type Rep StudioLifecycleConfigAppType Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType type Rep StudioLifecycleConfigAppType = D1 ('MetaData "StudioLifecycleConfigAppType" "Amazonka.SageMaker.Types.StudioLifecycleConfigAppType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "StudioLifecycleConfigAppType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStudioLifecycleConfigAppType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StudioLifecycleConfigSortKey

newtype StudioLifecycleConfigSortKey Source #

Constructors

StudioLifecycleConfigSortKey'
Fields fromStudioLifecycleConfigSortKey :: Text

Bundled Patterns

pattern StudioLifecycleConfigSortKey_CreationTime :: StudioLifecycleConfigSortKey
pattern StudioLifecycleConfigSortKey_LastModifiedTime :: StudioLifecycleConfigSortKey
pattern StudioLifecycleConfigSortKey_Name :: StudioLifecycleConfigSortKey

Instances

Instances details

Eq StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods (==) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool # (/=) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #
Ord StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods compare :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Ordering # (<) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool # (<=) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool # (>) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool # (>=) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool # max :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey # min :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey #
Read StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods readsPrec :: Int -> ReadS StudioLifecycleConfigSortKey # readList :: ReadS [StudioLifecycleConfigSortKey] # readPrec :: ReadPrec StudioLifecycleConfigSortKey # readListPrec :: ReadPrec [StudioLifecycleConfigSortKey] #
Show StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods showsPrec :: Int -> StudioLifecycleConfigSortKey -> ShowS # show :: StudioLifecycleConfigSortKey -> String # showList :: [StudioLifecycleConfigSortKey] -> ShowS #
Generic StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Associated Types type Rep StudioLifecycleConfigSortKey :: Type -> Type # Methods from :: StudioLifecycleConfigSortKey -> Rep StudioLifecycleConfigSortKey x # to :: Rep StudioLifecycleConfigSortKey x -> StudioLifecycleConfigSortKey #
NFData StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods rnf :: StudioLifecycleConfigSortKey -> () #
Hashable StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods hashWithSalt :: Int -> StudioLifecycleConfigSortKey -> Int # hash :: StudioLifecycleConfigSortKey -> Int #
ToJSON StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toJSON :: StudioLifecycleConfigSortKey -> Value # toEncoding :: StudioLifecycleConfigSortKey -> Encoding # toJSONList :: [StudioLifecycleConfigSortKey] -> Value # toEncodingList :: [StudioLifecycleConfigSortKey] -> Encoding #
ToJSONKey StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toJSONKey :: ToJSONKeyFunction StudioLifecycleConfigSortKey # toJSONKeyList :: ToJSONKeyFunction [StudioLifecycleConfigSortKey] #
FromJSON StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods parseJSON :: Value -> Parser StudioLifecycleConfigSortKey # parseJSONList :: Value -> Parser [StudioLifecycleConfigSortKey] #
FromJSONKey StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods fromJSONKey :: FromJSONKeyFunction StudioLifecycleConfigSortKey # fromJSONKeyList :: FromJSONKeyFunction [StudioLifecycleConfigSortKey] #
ToLog StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods build :: StudioLifecycleConfigSortKey -> ByteStringBuilder #
ToHeader StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toHeader :: HeaderName -> StudioLifecycleConfigSortKey -> [Header] #
ToQuery StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toQuery :: StudioLifecycleConfigSortKey -> QueryString #
FromXML StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods parseXML :: [Node] -> Either String StudioLifecycleConfigSortKey #
ToXML StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toXML :: StudioLifecycleConfigSortKey -> XML #
ToByteString StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toBS :: StudioLifecycleConfigSortKey -> ByteString #
FromText StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods fromText :: Text -> Either String StudioLifecycleConfigSortKey #
ToText StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey Methods toText :: StudioLifecycleConfigSortKey -> Text #
type Rep StudioLifecycleConfigSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey type Rep StudioLifecycleConfigSortKey = D1 ('MetaData "StudioLifecycleConfigSortKey" "Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "StudioLifecycleConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStudioLifecycleConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetDevice

newtype TargetDevice Source #

Constructors

TargetDevice'
Fields fromTargetDevice :: Text

Bundled Patterns

pattern TargetDevice_Aisage :: TargetDevice
pattern TargetDevice_Amba_cv22 :: TargetDevice
pattern TargetDevice_Amba_cv25 :: TargetDevice
pattern TargetDevice_Coreml :: TargetDevice
pattern TargetDevice_Deeplens :: TargetDevice
pattern TargetDevice_Imx8mplus :: TargetDevice
pattern TargetDevice_Imx8qm :: TargetDevice
pattern TargetDevice_Jacinto_tda4vm :: TargetDevice
pattern TargetDevice_Jetson_nano :: TargetDevice
pattern TargetDevice_Jetson_tx1 :: TargetDevice
pattern TargetDevice_Jetson_tx2 :: TargetDevice
pattern TargetDevice_Jetson_xavier :: TargetDevice
pattern TargetDevice_Lambda :: TargetDevice
pattern TargetDevice_Ml_c4 :: TargetDevice
pattern TargetDevice_Ml_c5 :: TargetDevice
pattern TargetDevice_Ml_eia2 :: TargetDevice
pattern TargetDevice_Ml_g4dn :: TargetDevice
pattern TargetDevice_Ml_inf1 :: TargetDevice
pattern TargetDevice_Ml_m4 :: TargetDevice
pattern TargetDevice_Ml_m5 :: TargetDevice
pattern TargetDevice_Ml_p2 :: TargetDevice
pattern TargetDevice_Ml_p3 :: TargetDevice
pattern TargetDevice_Qcs603 :: TargetDevice
pattern TargetDevice_Qcs605 :: TargetDevice
pattern TargetDevice_Rasp3b :: TargetDevice
pattern TargetDevice_Rk3288 :: TargetDevice
pattern TargetDevice_Rk3399 :: TargetDevice
pattern TargetDevice_Sbe_c :: TargetDevice
pattern TargetDevice_Sitara_am57x :: TargetDevice
pattern TargetDevice_X86_win32 :: TargetDevice
pattern TargetDevice_X86_win64 :: TargetDevice

Instances

Instances details

Eq TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods (==) :: TargetDevice -> TargetDevice -> Bool # (/=) :: TargetDevice -> TargetDevice -> Bool #
Ord TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods compare :: TargetDevice -> TargetDevice -> Ordering # (<) :: TargetDevice -> TargetDevice -> Bool # (<=) :: TargetDevice -> TargetDevice -> Bool # (>) :: TargetDevice -> TargetDevice -> Bool # (>=) :: TargetDevice -> TargetDevice -> Bool # max :: TargetDevice -> TargetDevice -> TargetDevice # min :: TargetDevice -> TargetDevice -> TargetDevice #
Read TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods readsPrec :: Int -> ReadS TargetDevice # readList :: ReadS [TargetDevice] # readPrec :: ReadPrec TargetDevice # readListPrec :: ReadPrec [TargetDevice] #
Show TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods showsPrec :: Int -> TargetDevice -> ShowS # show :: TargetDevice -> String # showList :: [TargetDevice] -> ShowS #
Generic TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Associated Types type Rep TargetDevice :: Type -> Type # Methods from :: TargetDevice -> Rep TargetDevice x # to :: Rep TargetDevice x -> TargetDevice #
NFData TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods rnf :: TargetDevice -> () #
Hashable TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods hashWithSalt :: Int -> TargetDevice -> Int # hash :: TargetDevice -> Int #
ToJSON TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toJSON :: TargetDevice -> Value # toEncoding :: TargetDevice -> Encoding # toJSONList :: [TargetDevice] -> Value # toEncodingList :: [TargetDevice] -> Encoding #
ToJSONKey TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toJSONKey :: ToJSONKeyFunction TargetDevice # toJSONKeyList :: ToJSONKeyFunction [TargetDevice] #
FromJSON TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods parseJSON :: Value -> Parser TargetDevice # parseJSONList :: Value -> Parser [TargetDevice] #
FromJSONKey TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods fromJSONKey :: FromJSONKeyFunction TargetDevice # fromJSONKeyList :: FromJSONKeyFunction [TargetDevice] #
ToLog TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods build :: TargetDevice -> ByteStringBuilder #
ToHeader TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toHeader :: HeaderName -> TargetDevice -> [Header] #
ToQuery TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toQuery :: TargetDevice -> QueryString #
FromXML TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods parseXML :: [Node] -> Either String TargetDevice #
ToXML TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toXML :: TargetDevice -> XML #
ToByteString TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toBS :: TargetDevice -> ByteString #
FromText TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods fromText :: Text -> Either String TargetDevice #
ToText TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice Methods toText :: TargetDevice -> Text #
type Rep TargetDevice Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetDevice type Rep TargetDevice = D1 ('MetaData "TargetDevice" "Amazonka.SageMaker.Types.TargetDevice" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TargetDevice'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformAccelerator

newtype TargetPlatformAccelerator Source #

Constructors

TargetPlatformAccelerator'
Fields fromTargetPlatformAccelerator :: Text

Bundled Patterns

pattern TargetPlatformAccelerator_INTEL_GRAPHICS :: TargetPlatformAccelerator
pattern TargetPlatformAccelerator_MALI :: TargetPlatformAccelerator
pattern TargetPlatformAccelerator_NVIDIA :: TargetPlatformAccelerator

Instances

Instances details

Eq TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods (==) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool # (/=) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #
Ord TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods compare :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Ordering # (<) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool # (<=) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool # (>) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool # (>=) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool # max :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> TargetPlatformAccelerator # min :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> TargetPlatformAccelerator #
Read TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods readsPrec :: Int -> ReadS TargetPlatformAccelerator # readList :: ReadS [TargetPlatformAccelerator] # readPrec :: ReadPrec TargetPlatformAccelerator # readListPrec :: ReadPrec [TargetPlatformAccelerator] #
Show TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods showsPrec :: Int -> TargetPlatformAccelerator -> ShowS # show :: TargetPlatformAccelerator -> String # showList :: [TargetPlatformAccelerator] -> ShowS #
Generic TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Associated Types type Rep TargetPlatformAccelerator :: Type -> Type # Methods from :: TargetPlatformAccelerator -> Rep TargetPlatformAccelerator x # to :: Rep TargetPlatformAccelerator x -> TargetPlatformAccelerator #
NFData TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods rnf :: TargetPlatformAccelerator -> () #
Hashable TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods hashWithSalt :: Int -> TargetPlatformAccelerator -> Int # hash :: TargetPlatformAccelerator -> Int #
ToJSON TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toJSON :: TargetPlatformAccelerator -> Value # toEncoding :: TargetPlatformAccelerator -> Encoding # toJSONList :: [TargetPlatformAccelerator] -> Value # toEncodingList :: [TargetPlatformAccelerator] -> Encoding #
ToJSONKey TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toJSONKey :: ToJSONKeyFunction TargetPlatformAccelerator # toJSONKeyList :: ToJSONKeyFunction [TargetPlatformAccelerator] #
FromJSON TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods parseJSON :: Value -> Parser TargetPlatformAccelerator # parseJSONList :: Value -> Parser [TargetPlatformAccelerator] #
FromJSONKey TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods fromJSONKey :: FromJSONKeyFunction TargetPlatformAccelerator # fromJSONKeyList :: FromJSONKeyFunction [TargetPlatformAccelerator] #
ToLog TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods build :: TargetPlatformAccelerator -> ByteStringBuilder #
ToHeader TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toHeader :: HeaderName -> TargetPlatformAccelerator -> [Header] #
ToQuery TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toQuery :: TargetPlatformAccelerator -> QueryString #
FromXML TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods parseXML :: [Node] -> Either String TargetPlatformAccelerator #
ToXML TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toXML :: TargetPlatformAccelerator -> XML #
ToByteString TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toBS :: TargetPlatformAccelerator -> ByteString #
FromText TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods fromText :: Text -> Either String TargetPlatformAccelerator #
ToText TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator Methods toText :: TargetPlatformAccelerator -> Text #
type Rep TargetPlatformAccelerator Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator type Rep TargetPlatformAccelerator = D1 ('MetaData "TargetPlatformAccelerator" "Amazonka.SageMaker.Types.TargetPlatformAccelerator" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TargetPlatformAccelerator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformAccelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformArch

newtype TargetPlatformArch Source #

Constructors

TargetPlatformArch'
Fields fromTargetPlatformArch :: Text

Bundled Patterns

pattern TargetPlatformArch_ARM64 :: TargetPlatformArch
pattern TargetPlatformArch_ARM_EABI :: TargetPlatformArch
pattern TargetPlatformArch_ARM_EABIHF :: TargetPlatformArch
pattern TargetPlatformArch_X86 :: TargetPlatformArch
pattern TargetPlatformArch_X86_64 :: TargetPlatformArch

Instances

Instances details

Eq TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods (==) :: TargetPlatformArch -> TargetPlatformArch -> Bool # (/=) :: TargetPlatformArch -> TargetPlatformArch -> Bool #
Ord TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods compare :: TargetPlatformArch -> TargetPlatformArch -> Ordering # (<) :: TargetPlatformArch -> TargetPlatformArch -> Bool # (<=) :: TargetPlatformArch -> TargetPlatformArch -> Bool # (>) :: TargetPlatformArch -> TargetPlatformArch -> Bool # (>=) :: TargetPlatformArch -> TargetPlatformArch -> Bool # max :: TargetPlatformArch -> TargetPlatformArch -> TargetPlatformArch # min :: TargetPlatformArch -> TargetPlatformArch -> TargetPlatformArch #
Read TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods readsPrec :: Int -> ReadS TargetPlatformArch # readList :: ReadS [TargetPlatformArch] # readPrec :: ReadPrec TargetPlatformArch # readListPrec :: ReadPrec [TargetPlatformArch] #
Show TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods showsPrec :: Int -> TargetPlatformArch -> ShowS # show :: TargetPlatformArch -> String # showList :: [TargetPlatformArch] -> ShowS #
Generic TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Associated Types type Rep TargetPlatformArch :: Type -> Type # Methods from :: TargetPlatformArch -> Rep TargetPlatformArch x # to :: Rep TargetPlatformArch x -> TargetPlatformArch #
NFData TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods rnf :: TargetPlatformArch -> () #
Hashable TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods hashWithSalt :: Int -> TargetPlatformArch -> Int # hash :: TargetPlatformArch -> Int #
ToJSON TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toJSON :: TargetPlatformArch -> Value # toEncoding :: TargetPlatformArch -> Encoding # toJSONList :: [TargetPlatformArch] -> Value # toEncodingList :: [TargetPlatformArch] -> Encoding #
ToJSONKey TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toJSONKey :: ToJSONKeyFunction TargetPlatformArch # toJSONKeyList :: ToJSONKeyFunction [TargetPlatformArch] #
FromJSON TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods parseJSON :: Value -> Parser TargetPlatformArch # parseJSONList :: Value -> Parser [TargetPlatformArch] #
FromJSONKey TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods fromJSONKey :: FromJSONKeyFunction TargetPlatformArch # fromJSONKeyList :: FromJSONKeyFunction [TargetPlatformArch] #
ToLog TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods build :: TargetPlatformArch -> ByteStringBuilder #
ToHeader TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toHeader :: HeaderName -> TargetPlatformArch -> [Header] #
ToQuery TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toQuery :: TargetPlatformArch -> QueryString #
FromXML TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods parseXML :: [Node] -> Either String TargetPlatformArch #
ToXML TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toXML :: TargetPlatformArch -> XML #
ToByteString TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toBS :: TargetPlatformArch -> ByteString #
FromText TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods fromText :: Text -> Either String TargetPlatformArch #
ToText TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch Methods toText :: TargetPlatformArch -> Text #
type Rep TargetPlatformArch Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformArch type Rep TargetPlatformArch = D1 ('MetaData "TargetPlatformArch" "Amazonka.SageMaker.Types.TargetPlatformArch" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TargetPlatformArch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformArch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformOs

newtype TargetPlatformOs Source #

Constructors

TargetPlatformOs'
Fields fromTargetPlatformOs :: Text

Bundled Patterns

pattern TargetPlatformOs_ANDROID :: TargetPlatformOs
pattern TargetPlatformOs_LINUX :: TargetPlatformOs

Instances

Instances details

Eq TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods (==) :: TargetPlatformOs -> TargetPlatformOs -> Bool # (/=) :: TargetPlatformOs -> TargetPlatformOs -> Bool #
Ord TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods compare :: TargetPlatformOs -> TargetPlatformOs -> Ordering # (<) :: TargetPlatformOs -> TargetPlatformOs -> Bool # (<=) :: TargetPlatformOs -> TargetPlatformOs -> Bool # (>) :: TargetPlatformOs -> TargetPlatformOs -> Bool # (>=) :: TargetPlatformOs -> TargetPlatformOs -> Bool # max :: TargetPlatformOs -> TargetPlatformOs -> TargetPlatformOs # min :: TargetPlatformOs -> TargetPlatformOs -> TargetPlatformOs #
Read TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods readsPrec :: Int -> ReadS TargetPlatformOs # readList :: ReadS [TargetPlatformOs] # readPrec :: ReadPrec TargetPlatformOs # readListPrec :: ReadPrec [TargetPlatformOs] #
Show TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods showsPrec :: Int -> TargetPlatformOs -> ShowS # show :: TargetPlatformOs -> String # showList :: [TargetPlatformOs] -> ShowS #
Generic TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Associated Types type Rep TargetPlatformOs :: Type -> Type # Methods from :: TargetPlatformOs -> Rep TargetPlatformOs x # to :: Rep TargetPlatformOs x -> TargetPlatformOs #
NFData TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods rnf :: TargetPlatformOs -> () #
Hashable TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods hashWithSalt :: Int -> TargetPlatformOs -> Int # hash :: TargetPlatformOs -> Int #
ToJSON TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toJSON :: TargetPlatformOs -> Value # toEncoding :: TargetPlatformOs -> Encoding # toJSONList :: [TargetPlatformOs] -> Value # toEncodingList :: [TargetPlatformOs] -> Encoding #
ToJSONKey TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toJSONKey :: ToJSONKeyFunction TargetPlatformOs # toJSONKeyList :: ToJSONKeyFunction [TargetPlatformOs] #
FromJSON TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods parseJSON :: Value -> Parser TargetPlatformOs # parseJSONList :: Value -> Parser [TargetPlatformOs] #
FromJSONKey TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods fromJSONKey :: FromJSONKeyFunction TargetPlatformOs # fromJSONKeyList :: FromJSONKeyFunction [TargetPlatformOs] #
ToLog TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods build :: TargetPlatformOs -> ByteStringBuilder #
ToHeader TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toHeader :: HeaderName -> TargetPlatformOs -> [Header] #
ToQuery TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toQuery :: TargetPlatformOs -> QueryString #
FromXML TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods parseXML :: [Node] -> Either String TargetPlatformOs #
ToXML TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toXML :: TargetPlatformOs -> XML #
ToByteString TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toBS :: TargetPlatformOs -> ByteString #
FromText TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods fromText :: Text -> Either String TargetPlatformOs #
ToText TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs Methods toText :: TargetPlatformOs -> Text #
type Rep TargetPlatformOs Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatformOs type Rep TargetPlatformOs = D1 ('MetaData "TargetPlatformOs" "Amazonka.SageMaker.Types.TargetPlatformOs" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TargetPlatformOs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformOs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrafficRoutingConfigType

newtype TrafficRoutingConfigType Source #

Constructors

TrafficRoutingConfigType'
Fields fromTrafficRoutingConfigType :: Text

Bundled Patterns

pattern TrafficRoutingConfigType_ALL_AT_ONCE :: TrafficRoutingConfigType
pattern TrafficRoutingConfigType_CANARY :: TrafficRoutingConfigType

Instances

Instances details

Eq TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods (==) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool # (/=) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #
Ord TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods compare :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Ordering # (<) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool # (<=) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool # (>) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool # (>=) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool # max :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> TrafficRoutingConfigType # min :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> TrafficRoutingConfigType #
Read TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods readsPrec :: Int -> ReadS TrafficRoutingConfigType # readList :: ReadS [TrafficRoutingConfigType] # readPrec :: ReadPrec TrafficRoutingConfigType # readListPrec :: ReadPrec [TrafficRoutingConfigType] #
Show TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods showsPrec :: Int -> TrafficRoutingConfigType -> ShowS # show :: TrafficRoutingConfigType -> String # showList :: [TrafficRoutingConfigType] -> ShowS #
Generic TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Associated Types type Rep TrafficRoutingConfigType :: Type -> Type # Methods from :: TrafficRoutingConfigType -> Rep TrafficRoutingConfigType x # to :: Rep TrafficRoutingConfigType x -> TrafficRoutingConfigType #
NFData TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods rnf :: TrafficRoutingConfigType -> () #
Hashable TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods hashWithSalt :: Int -> TrafficRoutingConfigType -> Int # hash :: TrafficRoutingConfigType -> Int #
ToJSON TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toJSON :: TrafficRoutingConfigType -> Value # toEncoding :: TrafficRoutingConfigType -> Encoding # toJSONList :: [TrafficRoutingConfigType] -> Value # toEncodingList :: [TrafficRoutingConfigType] -> Encoding #
ToJSONKey TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toJSONKey :: ToJSONKeyFunction TrafficRoutingConfigType # toJSONKeyList :: ToJSONKeyFunction [TrafficRoutingConfigType] #
FromJSON TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods parseJSON :: Value -> Parser TrafficRoutingConfigType # parseJSONList :: Value -> Parser [TrafficRoutingConfigType] #
FromJSONKey TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods fromJSONKey :: FromJSONKeyFunction TrafficRoutingConfigType # fromJSONKeyList :: FromJSONKeyFunction [TrafficRoutingConfigType] #
ToLog TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods build :: TrafficRoutingConfigType -> ByteStringBuilder #
ToHeader TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toHeader :: HeaderName -> TrafficRoutingConfigType -> [Header] #
ToQuery TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toQuery :: TrafficRoutingConfigType -> QueryString #
FromXML TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods parseXML :: [Node] -> Either String TrafficRoutingConfigType #
ToXML TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toXML :: TrafficRoutingConfigType -> XML #
ToByteString TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toBS :: TrafficRoutingConfigType -> ByteString #
FromText TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods fromText :: Text -> Either String TrafficRoutingConfigType #
ToText TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType Methods toText :: TrafficRoutingConfigType -> Text #
type Rep TrafficRoutingConfigType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType type Rep TrafficRoutingConfigType = D1 ('MetaData "TrafficRoutingConfigType" "Amazonka.SageMaker.Types.TrafficRoutingConfigType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrafficRoutingConfigType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrafficRoutingConfigType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingInputMode

newtype TrainingInputMode Source #

The training input mode that the algorithm supports. For more information about input modes, see Algorithms.

Pipe mode

If an algorithm supports Pipe mode, Amazon SageMaker streams data directly from Amazon S3 to the container.

File mode

If an algorithm supports File mode, SageMaker downloads the training data from S3 to the provisioned ML storage volume, and mounts the directory to the Docker volume for the training container.

You must provision the ML storage volume with sufficient capacity to accommodate the data downloaded from S3. In addition to the training data, the ML storage volume also stores the output model. The algorithm container uses the ML storage volume to also store intermediate information, if any.

For distributed algorithms, training data is distributed uniformly. Your training duration is predictable if the input data objects sizes are approximately the same. SageMaker does not split the files any further for model training. If the object sizes are skewed, training won't be optimal as the data distribution is also skewed when one host in a training cluster is overloaded, thus becoming a bottleneck in training.

FastFile mode

If an algorithm supports FastFile mode, SageMaker streams data directly from S3 to the container with no code changes, and provides file system access to the data. Users can author their training script to interact with these files as if they were stored on disk.

FastFile mode works best when the data is read sequentially. Augmented manifest files aren't supported. The startup time is lower when there are fewer files in the S3 bucket provided.

Constructors

TrainingInputMode'
Fields fromTrainingInputMode :: Text

Bundled Patterns

pattern TrainingInputMode_FastFile :: TrainingInputMode
pattern TrainingInputMode_File :: TrainingInputMode
pattern TrainingInputMode_Pipe :: TrainingInputMode

Instances

Instances details

Eq TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods (==) :: TrainingInputMode -> TrainingInputMode -> Bool # (/=) :: TrainingInputMode -> TrainingInputMode -> Bool #
Ord TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods compare :: TrainingInputMode -> TrainingInputMode -> Ordering # (<) :: TrainingInputMode -> TrainingInputMode -> Bool # (<=) :: TrainingInputMode -> TrainingInputMode -> Bool # (>) :: TrainingInputMode -> TrainingInputMode -> Bool # (>=) :: TrainingInputMode -> TrainingInputMode -> Bool # max :: TrainingInputMode -> TrainingInputMode -> TrainingInputMode # min :: TrainingInputMode -> TrainingInputMode -> TrainingInputMode #
Read TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods readsPrec :: Int -> ReadS TrainingInputMode # readList :: ReadS [TrainingInputMode] # readPrec :: ReadPrec TrainingInputMode # readListPrec :: ReadPrec [TrainingInputMode] #
Show TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods showsPrec :: Int -> TrainingInputMode -> ShowS # show :: TrainingInputMode -> String # showList :: [TrainingInputMode] -> ShowS #
Generic TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Associated Types type Rep TrainingInputMode :: Type -> Type # Methods from :: TrainingInputMode -> Rep TrainingInputMode x # to :: Rep TrainingInputMode x -> TrainingInputMode #
NFData TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods rnf :: TrainingInputMode -> () #
Hashable TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods hashWithSalt :: Int -> TrainingInputMode -> Int # hash :: TrainingInputMode -> Int #
ToJSON TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toJSON :: TrainingInputMode -> Value # toEncoding :: TrainingInputMode -> Encoding # toJSONList :: [TrainingInputMode] -> Value # toEncodingList :: [TrainingInputMode] -> Encoding #
ToJSONKey TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toJSONKey :: ToJSONKeyFunction TrainingInputMode # toJSONKeyList :: ToJSONKeyFunction [TrainingInputMode] #
FromJSON TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods parseJSON :: Value -> Parser TrainingInputMode # parseJSONList :: Value -> Parser [TrainingInputMode] #
FromJSONKey TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods fromJSONKey :: FromJSONKeyFunction TrainingInputMode # fromJSONKeyList :: FromJSONKeyFunction [TrainingInputMode] #
ToLog TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods build :: TrainingInputMode -> ByteStringBuilder #
ToHeader TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toHeader :: HeaderName -> TrainingInputMode -> [Header] #
ToQuery TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toQuery :: TrainingInputMode -> QueryString #
FromXML TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods parseXML :: [Node] -> Either String TrainingInputMode #
ToXML TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toXML :: TrainingInputMode -> XML #
ToByteString TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toBS :: TrainingInputMode -> ByteString #
FromText TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods fromText :: Text -> Either String TrainingInputMode #
ToText TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode Methods toText :: TrainingInputMode -> Text #
type Rep TrainingInputMode Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInputMode type Rep TrainingInputMode = D1 ('MetaData "TrainingInputMode" "Amazonka.SageMaker.Types.TrainingInputMode" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrainingInputMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingInstanceType

newtype TrainingInstanceType Source #

Constructors

TrainingInstanceType'
Fields fromTrainingInstanceType :: Text

Bundled Patterns

pattern TrainingInstanceType_Ml_c4_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c4_4xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c4_8xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c4_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5_18xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5_4xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5_9xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5n_18xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5n_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5n_4xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5n_9xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_c5n_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_g4dn_12xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_g4dn_16xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_g4dn_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_g4dn_4xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_g4dn_8xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_g4dn_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m4_10xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m4_16xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m4_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m4_4xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m4_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m5_12xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m5_24xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m5_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m5_4xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m5_large :: TrainingInstanceType
pattern TrainingInstanceType_Ml_m5_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p2_16xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p2_8xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p2_xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p3_16xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p3_2xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p3_8xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p3dn_24xlarge :: TrainingInstanceType
pattern TrainingInstanceType_Ml_p4d_24xlarge :: TrainingInstanceType

Instances

Instances details

Eq TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods (==) :: TrainingInstanceType -> TrainingInstanceType -> Bool # (/=) :: TrainingInstanceType -> TrainingInstanceType -> Bool #
Ord TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods compare :: TrainingInstanceType -> TrainingInstanceType -> Ordering # (<) :: TrainingInstanceType -> TrainingInstanceType -> Bool # (<=) :: TrainingInstanceType -> TrainingInstanceType -> Bool # (>) :: TrainingInstanceType -> TrainingInstanceType -> Bool # (>=) :: TrainingInstanceType -> TrainingInstanceType -> Bool # max :: TrainingInstanceType -> TrainingInstanceType -> TrainingInstanceType # min :: TrainingInstanceType -> TrainingInstanceType -> TrainingInstanceType #
Read TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods readsPrec :: Int -> ReadS TrainingInstanceType # readList :: ReadS [TrainingInstanceType] # readPrec :: ReadPrec TrainingInstanceType # readListPrec :: ReadPrec [TrainingInstanceType] #
Show TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods showsPrec :: Int -> TrainingInstanceType -> ShowS # show :: TrainingInstanceType -> String # showList :: [TrainingInstanceType] -> ShowS #
Generic TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Associated Types type Rep TrainingInstanceType :: Type -> Type # Methods from :: TrainingInstanceType -> Rep TrainingInstanceType x # to :: Rep TrainingInstanceType x -> TrainingInstanceType #
NFData TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods rnf :: TrainingInstanceType -> () #
Hashable TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods hashWithSalt :: Int -> TrainingInstanceType -> Int # hash :: TrainingInstanceType -> Int #
ToJSON TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toJSON :: TrainingInstanceType -> Value # toEncoding :: TrainingInstanceType -> Encoding # toJSONList :: [TrainingInstanceType] -> Value # toEncodingList :: [TrainingInstanceType] -> Encoding #
ToJSONKey TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toJSONKey :: ToJSONKeyFunction TrainingInstanceType # toJSONKeyList :: ToJSONKeyFunction [TrainingInstanceType] #
FromJSON TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods parseJSON :: Value -> Parser TrainingInstanceType # parseJSONList :: Value -> Parser [TrainingInstanceType] #
FromJSONKey TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods fromJSONKey :: FromJSONKeyFunction TrainingInstanceType # fromJSONKeyList :: FromJSONKeyFunction [TrainingInstanceType] #
ToLog TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods build :: TrainingInstanceType -> ByteStringBuilder #
ToHeader TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toHeader :: HeaderName -> TrainingInstanceType -> [Header] #
ToQuery TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toQuery :: TrainingInstanceType -> QueryString #
FromXML TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods parseXML :: [Node] -> Either String TrainingInstanceType #
ToXML TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toXML :: TrainingInstanceType -> XML #
ToByteString TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toBS :: TrainingInstanceType -> ByteString #
FromText TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods fromText :: Text -> Either String TrainingInstanceType #
ToText TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType Methods toText :: TrainingInstanceType -> Text #
type Rep TrainingInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingInstanceType type Rep TrainingInstanceType = D1 ('MetaData "TrainingInstanceType" "Amazonka.SageMaker.Types.TrainingInstanceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrainingInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingJobEarlyStoppingType

newtype TrainingJobEarlyStoppingType Source #

Constructors

TrainingJobEarlyStoppingType'
Fields fromTrainingJobEarlyStoppingType :: Text

Bundled Patterns

pattern TrainingJobEarlyStoppingType_Auto :: TrainingJobEarlyStoppingType
pattern TrainingJobEarlyStoppingType_Off :: TrainingJobEarlyStoppingType

Instances

Instances details

Eq TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods (==) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool # (/=) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #
Ord TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods compare :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Ordering # (<) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool # (<=) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool # (>) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool # (>=) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool # max :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType # min :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType #
Read TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods readsPrec :: Int -> ReadS TrainingJobEarlyStoppingType # readList :: ReadS [TrainingJobEarlyStoppingType] # readPrec :: ReadPrec TrainingJobEarlyStoppingType # readListPrec :: ReadPrec [TrainingJobEarlyStoppingType] #
Show TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods showsPrec :: Int -> TrainingJobEarlyStoppingType -> ShowS # show :: TrainingJobEarlyStoppingType -> String # showList :: [TrainingJobEarlyStoppingType] -> ShowS #
Generic TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Associated Types type Rep TrainingJobEarlyStoppingType :: Type -> Type # Methods from :: TrainingJobEarlyStoppingType -> Rep TrainingJobEarlyStoppingType x # to :: Rep TrainingJobEarlyStoppingType x -> TrainingJobEarlyStoppingType #
NFData TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods rnf :: TrainingJobEarlyStoppingType -> () #
Hashable TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods hashWithSalt :: Int -> TrainingJobEarlyStoppingType -> Int # hash :: TrainingJobEarlyStoppingType -> Int #
ToJSON TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toJSON :: TrainingJobEarlyStoppingType -> Value # toEncoding :: TrainingJobEarlyStoppingType -> Encoding # toJSONList :: [TrainingJobEarlyStoppingType] -> Value # toEncodingList :: [TrainingJobEarlyStoppingType] -> Encoding #
ToJSONKey TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toJSONKey :: ToJSONKeyFunction TrainingJobEarlyStoppingType # toJSONKeyList :: ToJSONKeyFunction [TrainingJobEarlyStoppingType] #
FromJSON TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods parseJSON :: Value -> Parser TrainingJobEarlyStoppingType # parseJSONList :: Value -> Parser [TrainingJobEarlyStoppingType] #
FromJSONKey TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods fromJSONKey :: FromJSONKeyFunction TrainingJobEarlyStoppingType # fromJSONKeyList :: FromJSONKeyFunction [TrainingJobEarlyStoppingType] #
ToLog TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods build :: TrainingJobEarlyStoppingType -> ByteStringBuilder #
ToHeader TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toHeader :: HeaderName -> TrainingJobEarlyStoppingType -> [Header] #
ToQuery TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toQuery :: TrainingJobEarlyStoppingType -> QueryString #
FromXML TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods parseXML :: [Node] -> Either String TrainingJobEarlyStoppingType #
ToXML TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toXML :: TrainingJobEarlyStoppingType -> XML #
ToByteString TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toBS :: TrainingJobEarlyStoppingType -> ByteString #
FromText TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods fromText :: Text -> Either String TrainingJobEarlyStoppingType #
ToText TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType Methods toText :: TrainingJobEarlyStoppingType -> Text #
type Rep TrainingJobEarlyStoppingType Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType type Rep TrainingJobEarlyStoppingType = D1 ('MetaData "TrainingJobEarlyStoppingType" "Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrainingJobEarlyStoppingType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingJobEarlyStoppingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingJobSortByOptions

newtype TrainingJobSortByOptions Source #

Constructors

TrainingJobSortByOptions'
Fields fromTrainingJobSortByOptions :: Text

Bundled Patterns

pattern TrainingJobSortByOptions_CreationTime :: TrainingJobSortByOptions
pattern TrainingJobSortByOptions_FinalObjectiveMetricValue :: TrainingJobSortByOptions
pattern TrainingJobSortByOptions_Name :: TrainingJobSortByOptions
pattern TrainingJobSortByOptions_Status :: TrainingJobSortByOptions

Instances

Instances details

Eq TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods (==) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool # (/=) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #
Ord TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods compare :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Ordering # (<) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool # (<=) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool # (>) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool # (>=) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool # max :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> TrainingJobSortByOptions # min :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> TrainingJobSortByOptions #
Read TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods readsPrec :: Int -> ReadS TrainingJobSortByOptions # readList :: ReadS [TrainingJobSortByOptions] # readPrec :: ReadPrec TrainingJobSortByOptions # readListPrec :: ReadPrec [TrainingJobSortByOptions] #
Show TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods showsPrec :: Int -> TrainingJobSortByOptions -> ShowS # show :: TrainingJobSortByOptions -> String # showList :: [TrainingJobSortByOptions] -> ShowS #
Generic TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Associated Types type Rep TrainingJobSortByOptions :: Type -> Type # Methods from :: TrainingJobSortByOptions -> Rep TrainingJobSortByOptions x # to :: Rep TrainingJobSortByOptions x -> TrainingJobSortByOptions #
NFData TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods rnf :: TrainingJobSortByOptions -> () #
Hashable TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods hashWithSalt :: Int -> TrainingJobSortByOptions -> Int # hash :: TrainingJobSortByOptions -> Int #
ToJSON TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toJSON :: TrainingJobSortByOptions -> Value # toEncoding :: TrainingJobSortByOptions -> Encoding # toJSONList :: [TrainingJobSortByOptions] -> Value # toEncodingList :: [TrainingJobSortByOptions] -> Encoding #
ToJSONKey TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toJSONKey :: ToJSONKeyFunction TrainingJobSortByOptions # toJSONKeyList :: ToJSONKeyFunction [TrainingJobSortByOptions] #
FromJSON TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods parseJSON :: Value -> Parser TrainingJobSortByOptions # parseJSONList :: Value -> Parser [TrainingJobSortByOptions] #
FromJSONKey TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods fromJSONKey :: FromJSONKeyFunction TrainingJobSortByOptions # fromJSONKeyList :: FromJSONKeyFunction [TrainingJobSortByOptions] #
ToLog TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods build :: TrainingJobSortByOptions -> ByteStringBuilder #
ToHeader TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toHeader :: HeaderName -> TrainingJobSortByOptions -> [Header] #
ToQuery TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toQuery :: TrainingJobSortByOptions -> QueryString #
FromXML TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods parseXML :: [Node] -> Either String TrainingJobSortByOptions #
ToXML TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toXML :: TrainingJobSortByOptions -> XML #
ToByteString TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toBS :: TrainingJobSortByOptions -> ByteString #
FromText TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods fromText :: Text -> Either String TrainingJobSortByOptions #
ToText TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions Methods toText :: TrainingJobSortByOptions -> Text #
type Rep TrainingJobSortByOptions Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions type Rep TrainingJobSortByOptions = D1 ('MetaData "TrainingJobSortByOptions" "Amazonka.SageMaker.Types.TrainingJobSortByOptions" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrainingJobSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingJobSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingJobStatus

newtype TrainingJobStatus Source #

Constructors

TrainingJobStatus'
Fields fromTrainingJobStatus :: Text

Bundled Patterns

pattern TrainingJobStatus_Completed :: TrainingJobStatus
pattern TrainingJobStatus_Failed :: TrainingJobStatus
pattern TrainingJobStatus_InProgress :: TrainingJobStatus
pattern TrainingJobStatus_Stopped :: TrainingJobStatus
pattern TrainingJobStatus_Stopping :: TrainingJobStatus

Instances

Instances details

Eq TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods (==) :: TrainingJobStatus -> TrainingJobStatus -> Bool # (/=) :: TrainingJobStatus -> TrainingJobStatus -> Bool #
Ord TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods compare :: TrainingJobStatus -> TrainingJobStatus -> Ordering # (<) :: TrainingJobStatus -> TrainingJobStatus -> Bool # (<=) :: TrainingJobStatus -> TrainingJobStatus -> Bool # (>) :: TrainingJobStatus -> TrainingJobStatus -> Bool # (>=) :: TrainingJobStatus -> TrainingJobStatus -> Bool # max :: TrainingJobStatus -> TrainingJobStatus -> TrainingJobStatus # min :: TrainingJobStatus -> TrainingJobStatus -> TrainingJobStatus #
Read TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods readsPrec :: Int -> ReadS TrainingJobStatus # readList :: ReadS [TrainingJobStatus] # readPrec :: ReadPrec TrainingJobStatus # readListPrec :: ReadPrec [TrainingJobStatus] #
Show TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods showsPrec :: Int -> TrainingJobStatus -> ShowS # show :: TrainingJobStatus -> String # showList :: [TrainingJobStatus] -> ShowS #
Generic TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Associated Types type Rep TrainingJobStatus :: Type -> Type # Methods from :: TrainingJobStatus -> Rep TrainingJobStatus x # to :: Rep TrainingJobStatus x -> TrainingJobStatus #
NFData TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods rnf :: TrainingJobStatus -> () #
Hashable TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods hashWithSalt :: Int -> TrainingJobStatus -> Int # hash :: TrainingJobStatus -> Int #
ToJSON TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toJSON :: TrainingJobStatus -> Value # toEncoding :: TrainingJobStatus -> Encoding # toJSONList :: [TrainingJobStatus] -> Value # toEncodingList :: [TrainingJobStatus] -> Encoding #
ToJSONKey TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toJSONKey :: ToJSONKeyFunction TrainingJobStatus # toJSONKeyList :: ToJSONKeyFunction [TrainingJobStatus] #
FromJSON TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods parseJSON :: Value -> Parser TrainingJobStatus # parseJSONList :: Value -> Parser [TrainingJobStatus] #
FromJSONKey TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods fromJSONKey :: FromJSONKeyFunction TrainingJobStatus # fromJSONKeyList :: FromJSONKeyFunction [TrainingJobStatus] #
ToLog TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods build :: TrainingJobStatus -> ByteStringBuilder #
ToHeader TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toHeader :: HeaderName -> TrainingJobStatus -> [Header] #
ToQuery TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toQuery :: TrainingJobStatus -> QueryString #
FromXML TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods parseXML :: [Node] -> Either String TrainingJobStatus #
ToXML TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toXML :: TrainingJobStatus -> XML #
ToByteString TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toBS :: TrainingJobStatus -> ByteString #
FromText TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods fromText :: Text -> Either String TrainingJobStatus #
ToText TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus Methods toText :: TrainingJobStatus -> Text #
type Rep TrainingJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatus type Rep TrainingJobStatus = D1 ('MetaData "TrainingJobStatus" "Amazonka.SageMaker.Types.TrainingJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrainingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TransformInstanceType

newtype TransformInstanceType Source #

Constructors

TransformInstanceType'
Fields fromTransformInstanceType :: Text

Bundled Patterns

pattern TransformInstanceType_Ml_c4_2xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c4_4xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c4_8xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c4_xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c5_18xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c5_2xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c5_4xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c5_9xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_c5_xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_g4dn_12xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_g4dn_16xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_g4dn_2xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_g4dn_4xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_g4dn_8xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_g4dn_xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m4_10xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m4_16xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m4_2xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m4_4xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m4_xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m5_12xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m5_24xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m5_2xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m5_4xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_m5_large :: TransformInstanceType
pattern TransformInstanceType_Ml_m5_xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_p2_16xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_p2_8xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_p2_xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_p3_16xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_p3_2xlarge :: TransformInstanceType
pattern TransformInstanceType_Ml_p3_8xlarge :: TransformInstanceType

Instances

Instances details

Eq TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods (==) :: TransformInstanceType -> TransformInstanceType -> Bool # (/=) :: TransformInstanceType -> TransformInstanceType -> Bool #
Ord TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods compare :: TransformInstanceType -> TransformInstanceType -> Ordering # (<) :: TransformInstanceType -> TransformInstanceType -> Bool # (<=) :: TransformInstanceType -> TransformInstanceType -> Bool # (>) :: TransformInstanceType -> TransformInstanceType -> Bool # (>=) :: TransformInstanceType -> TransformInstanceType -> Bool # max :: TransformInstanceType -> TransformInstanceType -> TransformInstanceType # min :: TransformInstanceType -> TransformInstanceType -> TransformInstanceType #
Read TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods readsPrec :: Int -> ReadS TransformInstanceType # readList :: ReadS [TransformInstanceType] # readPrec :: ReadPrec TransformInstanceType # readListPrec :: ReadPrec [TransformInstanceType] #
Show TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods showsPrec :: Int -> TransformInstanceType -> ShowS # show :: TransformInstanceType -> String # showList :: [TransformInstanceType] -> ShowS #
Generic TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Associated Types type Rep TransformInstanceType :: Type -> Type # Methods from :: TransformInstanceType -> Rep TransformInstanceType x # to :: Rep TransformInstanceType x -> TransformInstanceType #
NFData TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods rnf :: TransformInstanceType -> () #
Hashable TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods hashWithSalt :: Int -> TransformInstanceType -> Int # hash :: TransformInstanceType -> Int #
ToJSON TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toJSON :: TransformInstanceType -> Value # toEncoding :: TransformInstanceType -> Encoding # toJSONList :: [TransformInstanceType] -> Value # toEncodingList :: [TransformInstanceType] -> Encoding #
ToJSONKey TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toJSONKey :: ToJSONKeyFunction TransformInstanceType # toJSONKeyList :: ToJSONKeyFunction [TransformInstanceType] #
FromJSON TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods parseJSON :: Value -> Parser TransformInstanceType # parseJSONList :: Value -> Parser [TransformInstanceType] #
FromJSONKey TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods fromJSONKey :: FromJSONKeyFunction TransformInstanceType # fromJSONKeyList :: FromJSONKeyFunction [TransformInstanceType] #
ToLog TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods build :: TransformInstanceType -> ByteStringBuilder #
ToHeader TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toHeader :: HeaderName -> TransformInstanceType -> [Header] #
ToQuery TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toQuery :: TransformInstanceType -> QueryString #
FromXML TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods parseXML :: [Node] -> Either String TransformInstanceType #
ToXML TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toXML :: TransformInstanceType -> XML #
ToByteString TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toBS :: TransformInstanceType -> ByteString #
FromText TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods fromText :: Text -> Either String TransformInstanceType #
ToText TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType Methods toText :: TransformInstanceType -> Text #
type Rep TransformInstanceType Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInstanceType type Rep TransformInstanceType = D1 ('MetaData "TransformInstanceType" "Amazonka.SageMaker.Types.TransformInstanceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TransformInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTransformInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TransformJobStatus

newtype TransformJobStatus Source #

Constructors

TransformJobStatus'
Fields fromTransformJobStatus :: Text

Bundled Patterns

pattern TransformJobStatus_Completed :: TransformJobStatus
pattern TransformJobStatus_Failed :: TransformJobStatus
pattern TransformJobStatus_InProgress :: TransformJobStatus
pattern TransformJobStatus_Stopped :: TransformJobStatus
pattern TransformJobStatus_Stopping :: TransformJobStatus

Instances

Instances details

Eq TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods (==) :: TransformJobStatus -> TransformJobStatus -> Bool # (/=) :: TransformJobStatus -> TransformJobStatus -> Bool #
Ord TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods compare :: TransformJobStatus -> TransformJobStatus -> Ordering # (<) :: TransformJobStatus -> TransformJobStatus -> Bool # (<=) :: TransformJobStatus -> TransformJobStatus -> Bool # (>) :: TransformJobStatus -> TransformJobStatus -> Bool # (>=) :: TransformJobStatus -> TransformJobStatus -> Bool # max :: TransformJobStatus -> TransformJobStatus -> TransformJobStatus # min :: TransformJobStatus -> TransformJobStatus -> TransformJobStatus #
Read TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods readsPrec :: Int -> ReadS TransformJobStatus # readList :: ReadS [TransformJobStatus] # readPrec :: ReadPrec TransformJobStatus # readListPrec :: ReadPrec [TransformJobStatus] #
Show TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods showsPrec :: Int -> TransformJobStatus -> ShowS # show :: TransformJobStatus -> String # showList :: [TransformJobStatus] -> ShowS #
Generic TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Associated Types type Rep TransformJobStatus :: Type -> Type # Methods from :: TransformJobStatus -> Rep TransformJobStatus x # to :: Rep TransformJobStatus x -> TransformJobStatus #
NFData TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods rnf :: TransformJobStatus -> () #
Hashable TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods hashWithSalt :: Int -> TransformJobStatus -> Int # hash :: TransformJobStatus -> Int #
ToJSON TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toJSON :: TransformJobStatus -> Value # toEncoding :: TransformJobStatus -> Encoding # toJSONList :: [TransformJobStatus] -> Value # toEncodingList :: [TransformJobStatus] -> Encoding #
ToJSONKey TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toJSONKey :: ToJSONKeyFunction TransformJobStatus # toJSONKeyList :: ToJSONKeyFunction [TransformJobStatus] #
FromJSON TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods parseJSON :: Value -> Parser TransformJobStatus # parseJSONList :: Value -> Parser [TransformJobStatus] #
FromJSONKey TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods fromJSONKey :: FromJSONKeyFunction TransformJobStatus # fromJSONKeyList :: FromJSONKeyFunction [TransformJobStatus] #
ToLog TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods build :: TransformJobStatus -> ByteStringBuilder #
ToHeader TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toHeader :: HeaderName -> TransformJobStatus -> [Header] #
ToQuery TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toQuery :: TransformJobStatus -> QueryString #
FromXML TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods parseXML :: [Node] -> Either String TransformJobStatus #
ToXML TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toXML :: TransformJobStatus -> XML #
ToByteString TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toBS :: TransformJobStatus -> ByteString #
FromText TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods fromText :: Text -> Either String TransformJobStatus #
ToText TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus Methods toText :: TransformJobStatus -> Text #
type Rep TransformJobStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStatus type Rep TransformJobStatus = D1 ('MetaData "TransformJobStatus" "Amazonka.SageMaker.Types.TransformJobStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TransformJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTransformJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrialComponentPrimaryStatus

newtype TrialComponentPrimaryStatus Source #

Constructors

TrialComponentPrimaryStatus'
Fields fromTrialComponentPrimaryStatus :: Text

Bundled Patterns

pattern TrialComponentPrimaryStatus_Completed :: TrialComponentPrimaryStatus
pattern TrialComponentPrimaryStatus_Failed :: TrialComponentPrimaryStatus
pattern TrialComponentPrimaryStatus_InProgress :: TrialComponentPrimaryStatus
pattern TrialComponentPrimaryStatus_Stopped :: TrialComponentPrimaryStatus
pattern TrialComponentPrimaryStatus_Stopping :: TrialComponentPrimaryStatus

Instances

Instances details

Eq TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods (==) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool # (/=) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #
Ord TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods compare :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Ordering # (<) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool # (<=) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool # (>) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool # (>=) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool # max :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus # min :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus #
Read TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods readsPrec :: Int -> ReadS TrialComponentPrimaryStatus # readList :: ReadS [TrialComponentPrimaryStatus] # readPrec :: ReadPrec TrialComponentPrimaryStatus # readListPrec :: ReadPrec [TrialComponentPrimaryStatus] #
Show TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods showsPrec :: Int -> TrialComponentPrimaryStatus -> ShowS # show :: TrialComponentPrimaryStatus -> String # showList :: [TrialComponentPrimaryStatus] -> ShowS #
Generic TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Associated Types type Rep TrialComponentPrimaryStatus :: Type -> Type # Methods from :: TrialComponentPrimaryStatus -> Rep TrialComponentPrimaryStatus x # to :: Rep TrialComponentPrimaryStatus x -> TrialComponentPrimaryStatus #
NFData TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods rnf :: TrialComponentPrimaryStatus -> () #
Hashable TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods hashWithSalt :: Int -> TrialComponentPrimaryStatus -> Int # hash :: TrialComponentPrimaryStatus -> Int #
ToJSON TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toJSON :: TrialComponentPrimaryStatus -> Value # toEncoding :: TrialComponentPrimaryStatus -> Encoding # toJSONList :: [TrialComponentPrimaryStatus] -> Value # toEncodingList :: [TrialComponentPrimaryStatus] -> Encoding #
ToJSONKey TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toJSONKey :: ToJSONKeyFunction TrialComponentPrimaryStatus # toJSONKeyList :: ToJSONKeyFunction [TrialComponentPrimaryStatus] #
FromJSON TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods parseJSON :: Value -> Parser TrialComponentPrimaryStatus # parseJSONList :: Value -> Parser [TrialComponentPrimaryStatus] #
FromJSONKey TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods fromJSONKey :: FromJSONKeyFunction TrialComponentPrimaryStatus # fromJSONKeyList :: FromJSONKeyFunction [TrialComponentPrimaryStatus] #
ToLog TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods build :: TrialComponentPrimaryStatus -> ByteStringBuilder #
ToHeader TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toHeader :: HeaderName -> TrialComponentPrimaryStatus -> [Header] #
ToQuery TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toQuery :: TrialComponentPrimaryStatus -> QueryString #
FromXML TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods parseXML :: [Node] -> Either String TrialComponentPrimaryStatus #
ToXML TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toXML :: TrialComponentPrimaryStatus -> XML #
ToByteString TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toBS :: TrialComponentPrimaryStatus -> ByteString #
FromText TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods fromText :: Text -> Either String TrialComponentPrimaryStatus #
ToText TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus Methods toText :: TrialComponentPrimaryStatus -> Text #
type Rep TrialComponentPrimaryStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus type Rep TrialComponentPrimaryStatus = D1 ('MetaData "TrialComponentPrimaryStatus" "Amazonka.SageMaker.Types.TrialComponentPrimaryStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "TrialComponentPrimaryStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrialComponentPrimaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

UserProfileSortKey

newtype UserProfileSortKey Source #

Constructors

UserProfileSortKey'
Fields fromUserProfileSortKey :: Text

Bundled Patterns

pattern UserProfileSortKey_CreationTime :: UserProfileSortKey
pattern UserProfileSortKey_LastModifiedTime :: UserProfileSortKey

Instances

Instances details

Eq UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods (==) :: UserProfileSortKey -> UserProfileSortKey -> Bool # (/=) :: UserProfileSortKey -> UserProfileSortKey -> Bool #
Ord UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods compare :: UserProfileSortKey -> UserProfileSortKey -> Ordering # (<) :: UserProfileSortKey -> UserProfileSortKey -> Bool # (<=) :: UserProfileSortKey -> UserProfileSortKey -> Bool # (>) :: UserProfileSortKey -> UserProfileSortKey -> Bool # (>=) :: UserProfileSortKey -> UserProfileSortKey -> Bool # max :: UserProfileSortKey -> UserProfileSortKey -> UserProfileSortKey # min :: UserProfileSortKey -> UserProfileSortKey -> UserProfileSortKey #
Read UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods readsPrec :: Int -> ReadS UserProfileSortKey # readList :: ReadS [UserProfileSortKey] # readPrec :: ReadPrec UserProfileSortKey # readListPrec :: ReadPrec [UserProfileSortKey] #
Show UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods showsPrec :: Int -> UserProfileSortKey -> ShowS # show :: UserProfileSortKey -> String # showList :: [UserProfileSortKey] -> ShowS #
Generic UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Associated Types type Rep UserProfileSortKey :: Type -> Type # Methods from :: UserProfileSortKey -> Rep UserProfileSortKey x # to :: Rep UserProfileSortKey x -> UserProfileSortKey #
NFData UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods rnf :: UserProfileSortKey -> () #
Hashable UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods hashWithSalt :: Int -> UserProfileSortKey -> Int # hash :: UserProfileSortKey -> Int #
ToJSON UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toJSON :: UserProfileSortKey -> Value # toEncoding :: UserProfileSortKey -> Encoding # toJSONList :: [UserProfileSortKey] -> Value # toEncodingList :: [UserProfileSortKey] -> Encoding #
ToJSONKey UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toJSONKey :: ToJSONKeyFunction UserProfileSortKey # toJSONKeyList :: ToJSONKeyFunction [UserProfileSortKey] #
FromJSON UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods parseJSON :: Value -> Parser UserProfileSortKey # parseJSONList :: Value -> Parser [UserProfileSortKey] #
FromJSONKey UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods fromJSONKey :: FromJSONKeyFunction UserProfileSortKey # fromJSONKeyList :: FromJSONKeyFunction [UserProfileSortKey] #
ToLog UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods build :: UserProfileSortKey -> ByteStringBuilder #
ToHeader UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toHeader :: HeaderName -> UserProfileSortKey -> [Header] #
ToQuery UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toQuery :: UserProfileSortKey -> QueryString #
FromXML UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods parseXML :: [Node] -> Either String UserProfileSortKey #
ToXML UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toXML :: UserProfileSortKey -> XML #
ToByteString UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toBS :: UserProfileSortKey -> ByteString #
FromText UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods fromText :: Text -> Either String UserProfileSortKey #
ToText UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey Methods toText :: UserProfileSortKey -> Text #
type Rep UserProfileSortKey Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileSortKey type Rep UserProfileSortKey = D1 ('MetaData "UserProfileSortKey" "Amazonka.SageMaker.Types.UserProfileSortKey" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "UserProfileSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromUserProfileSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

UserProfileStatus

newtype UserProfileStatus Source #

Constructors

UserProfileStatus'
Fields fromUserProfileStatus :: Text

Bundled Patterns

pattern UserProfileStatus_Delete_Failed :: UserProfileStatus
pattern UserProfileStatus_Deleting :: UserProfileStatus
pattern UserProfileStatus_Failed :: UserProfileStatus
pattern UserProfileStatus_InService :: UserProfileStatus
pattern UserProfileStatus_Pending :: UserProfileStatus
pattern UserProfileStatus_Update_Failed :: UserProfileStatus
pattern UserProfileStatus_Updating :: UserProfileStatus

Instances

Instances details

Eq UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods (==) :: UserProfileStatus -> UserProfileStatus -> Bool # (/=) :: UserProfileStatus -> UserProfileStatus -> Bool #
Ord UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods compare :: UserProfileStatus -> UserProfileStatus -> Ordering # (<) :: UserProfileStatus -> UserProfileStatus -> Bool # (<=) :: UserProfileStatus -> UserProfileStatus -> Bool # (>) :: UserProfileStatus -> UserProfileStatus -> Bool # (>=) :: UserProfileStatus -> UserProfileStatus -> Bool # max :: UserProfileStatus -> UserProfileStatus -> UserProfileStatus # min :: UserProfileStatus -> UserProfileStatus -> UserProfileStatus #
Read UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods readsPrec :: Int -> ReadS UserProfileStatus # readList :: ReadS [UserProfileStatus] # readPrec :: ReadPrec UserProfileStatus # readListPrec :: ReadPrec [UserProfileStatus] #
Show UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods showsPrec :: Int -> UserProfileStatus -> ShowS # show :: UserProfileStatus -> String # showList :: [UserProfileStatus] -> ShowS #
Generic UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Associated Types type Rep UserProfileStatus :: Type -> Type # Methods from :: UserProfileStatus -> Rep UserProfileStatus x # to :: Rep UserProfileStatus x -> UserProfileStatus #
NFData UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods rnf :: UserProfileStatus -> () #
Hashable UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods hashWithSalt :: Int -> UserProfileStatus -> Int # hash :: UserProfileStatus -> Int #
ToJSON UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toJSON :: UserProfileStatus -> Value # toEncoding :: UserProfileStatus -> Encoding # toJSONList :: [UserProfileStatus] -> Value # toEncodingList :: [UserProfileStatus] -> Encoding #
ToJSONKey UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toJSONKey :: ToJSONKeyFunction UserProfileStatus # toJSONKeyList :: ToJSONKeyFunction [UserProfileStatus] #
FromJSON UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods parseJSON :: Value -> Parser UserProfileStatus # parseJSONList :: Value -> Parser [UserProfileStatus] #
FromJSONKey UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods fromJSONKey :: FromJSONKeyFunction UserProfileStatus # fromJSONKeyList :: FromJSONKeyFunction [UserProfileStatus] #
ToLog UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods build :: UserProfileStatus -> ByteStringBuilder #
ToHeader UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toHeader :: HeaderName -> UserProfileStatus -> [Header] #
ToQuery UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toQuery :: UserProfileStatus -> QueryString #
FromXML UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods parseXML :: [Node] -> Either String UserProfileStatus #
ToXML UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toXML :: UserProfileStatus -> XML #
ToByteString UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toBS :: UserProfileStatus -> ByteString #
FromText UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods fromText :: Text -> Either String UserProfileStatus #
ToText UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus Methods toText :: UserProfileStatus -> Text #
type Rep UserProfileStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileStatus type Rep UserProfileStatus = D1 ('MetaData "UserProfileStatus" "Amazonka.SageMaker.Types.UserProfileStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "UserProfileStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromUserProfileStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VariantPropertyType

newtype VariantPropertyType Source #

Constructors

VariantPropertyType'
Fields fromVariantPropertyType :: Text

Bundled Patterns

pattern VariantPropertyType_DataCaptureConfig :: VariantPropertyType
pattern VariantPropertyType_DesiredInstanceCount :: VariantPropertyType
pattern VariantPropertyType_DesiredWeight :: VariantPropertyType

Instances

Instances details

Eq VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods (==) :: VariantPropertyType -> VariantPropertyType -> Bool # (/=) :: VariantPropertyType -> VariantPropertyType -> Bool #
Ord VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods compare :: VariantPropertyType -> VariantPropertyType -> Ordering # (<) :: VariantPropertyType -> VariantPropertyType -> Bool # (<=) :: VariantPropertyType -> VariantPropertyType -> Bool # (>) :: VariantPropertyType -> VariantPropertyType -> Bool # (>=) :: VariantPropertyType -> VariantPropertyType -> Bool # max :: VariantPropertyType -> VariantPropertyType -> VariantPropertyType # min :: VariantPropertyType -> VariantPropertyType -> VariantPropertyType #
Read VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods readsPrec :: Int -> ReadS VariantPropertyType # readList :: ReadS [VariantPropertyType] # readPrec :: ReadPrec VariantPropertyType # readListPrec :: ReadPrec [VariantPropertyType] #
Show VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods showsPrec :: Int -> VariantPropertyType -> ShowS # show :: VariantPropertyType -> String # showList :: [VariantPropertyType] -> ShowS #
Generic VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Associated Types type Rep VariantPropertyType :: Type -> Type # Methods from :: VariantPropertyType -> Rep VariantPropertyType x # to :: Rep VariantPropertyType x -> VariantPropertyType #
NFData VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods rnf :: VariantPropertyType -> () #
Hashable VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods hashWithSalt :: Int -> VariantPropertyType -> Int # hash :: VariantPropertyType -> Int #
ToJSON VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toJSON :: VariantPropertyType -> Value # toEncoding :: VariantPropertyType -> Encoding # toJSONList :: [VariantPropertyType] -> Value # toEncodingList :: [VariantPropertyType] -> Encoding #
ToJSONKey VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toJSONKey :: ToJSONKeyFunction VariantPropertyType # toJSONKeyList :: ToJSONKeyFunction [VariantPropertyType] #
FromJSON VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods parseJSON :: Value -> Parser VariantPropertyType # parseJSONList :: Value -> Parser [VariantPropertyType] #
FromJSONKey VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods fromJSONKey :: FromJSONKeyFunction VariantPropertyType # fromJSONKeyList :: FromJSONKeyFunction [VariantPropertyType] #
ToLog VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods build :: VariantPropertyType -> ByteStringBuilder #
ToHeader VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toHeader :: HeaderName -> VariantPropertyType -> [Header] #
ToQuery VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toQuery :: VariantPropertyType -> QueryString #
FromXML VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods parseXML :: [Node] -> Either String VariantPropertyType #
ToXML VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toXML :: VariantPropertyType -> XML #
ToByteString VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toBS :: VariantPropertyType -> ByteString #
FromText VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods fromText :: Text -> Either String VariantPropertyType #
ToText VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType Methods toText :: VariantPropertyType -> Text #
type Rep VariantPropertyType Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantPropertyType type Rep VariantPropertyType = D1 ('MetaData "VariantPropertyType" "Amazonka.SageMaker.Types.VariantPropertyType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'True) (C1 ('MetaCons "VariantPropertyType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVariantPropertyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ActionSource

data ActionSource Source #

A structure describing the source of an action.

See: newActionSource smart constructor.

Constructors

ActionSource'
Fields sourceType :: Maybe Text The type of the source. sourceId :: Maybe Text The ID of the source. sourceUri :: Text The URI of the source.

Instances

Instances details

Eq ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods (==) :: ActionSource -> ActionSource -> Bool # (/=) :: ActionSource -> ActionSource -> Bool #
Read ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods readsPrec :: Int -> ReadS ActionSource # readList :: ReadS [ActionSource] # readPrec :: ReadPrec ActionSource # readListPrec :: ReadPrec [ActionSource] #
Show ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods showsPrec :: Int -> ActionSource -> ShowS # show :: ActionSource -> String # showList :: [ActionSource] -> ShowS #
Generic ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Associated Types type Rep ActionSource :: Type -> Type # Methods from :: ActionSource -> Rep ActionSource x # to :: Rep ActionSource x -> ActionSource #
NFData ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods rnf :: ActionSource -> () #
Hashable ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods hashWithSalt :: Int -> ActionSource -> Int # hash :: ActionSource -> Int #
ToJSON ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods toJSON :: ActionSource -> Value # toEncoding :: ActionSource -> Encoding # toJSONList :: [ActionSource] -> Value # toEncodingList :: [ActionSource] -> Encoding #
FromJSON ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource Methods parseJSON :: Value -> Parser ActionSource # parseJSONList :: Value -> Parser [ActionSource] #
type Rep ActionSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSource type Rep ActionSource = D1 ('MetaData "ActionSource" "Amazonka.SageMaker.Types.ActionSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ActionSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "sourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "sourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newActionSource Source #

Arguments

:: Text	`$sel:sourceUri:ActionSource'`
-> ActionSource

Create a value of ActionSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:ActionSource', actionSource_sourceType - The type of the source.

$sel:sourceId:ActionSource', actionSource_sourceId - The ID of the source.

$sel:sourceUri:ActionSource', actionSource_sourceUri - The URI of the source.

actionSource_sourceType :: Lens' ActionSource (Maybe Text) Source #

The type of the source.

actionSource_sourceId :: Lens' ActionSource (Maybe Text) Source #

The ID of the source.

actionSource_sourceUri :: Lens' ActionSource Text Source #

The URI of the source.

ActionSummary

data ActionSummary Source #

Lists the properties of an action. An action represents an action or activity. Some examples are a workflow step and a model deployment. Generally, an action involves at least one input artifact or output artifact.

See: newActionSummary smart constructor.

Constructors

ActionSummary'

Fields

creationTime :: Maybe POSIX
When the action was created.
status :: Maybe ActionStatus
The status of the action.
lastModifiedTime :: Maybe POSIX
When the action was last modified.
actionName :: Maybe Text
The name of the action.
source :: Maybe ActionSource
The source of the action.
actionArn :: Maybe Text
The Amazon Resource Name (ARN) of the action.
actionType :: Maybe Text
The type of the action.

Instances

Instances details

Eq ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Methods (==) :: ActionSummary -> ActionSummary -> Bool # (/=) :: ActionSummary -> ActionSummary -> Bool #
Read ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Methods readsPrec :: Int -> ReadS ActionSummary # readList :: ReadS [ActionSummary] # readPrec :: ReadPrec ActionSummary # readListPrec :: ReadPrec [ActionSummary] #
Show ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Methods showsPrec :: Int -> ActionSummary -> ShowS # show :: ActionSummary -> String # showList :: [ActionSummary] -> ShowS #
Generic ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Associated Types type Rep ActionSummary :: Type -> Type # Methods from :: ActionSummary -> Rep ActionSummary x # to :: Rep ActionSummary x -> ActionSummary #
NFData ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Methods rnf :: ActionSummary -> () #
Hashable ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Methods hashWithSalt :: Int -> ActionSummary -> Int # hash :: ActionSummary -> Int #
FromJSON ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary Methods parseJSON :: Value -> Parser ActionSummary # parseJSONList :: Value -> Parser [ActionSummary] #
type Rep ActionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ActionSummary type Rep ActionSummary = D1 ('MetaData "ActionSummary" "Amazonka.SageMaker.Types.ActionSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ActionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ActionStatus)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "actionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ActionSource))) :: (S1 ('MetaSel ('Just "actionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "actionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newActionSummary :: ActionSummary Source #

Create a value of ActionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ActionSummary', actionSummary_creationTime - When the action was created.

$sel:status:ActionSummary', actionSummary_status - The status of the action.

$sel:lastModifiedTime:ActionSummary', actionSummary_lastModifiedTime - When the action was last modified.

$sel:actionName:ActionSummary', actionSummary_actionName - The name of the action.

$sel:source:ActionSummary', actionSummary_source - The source of the action.

$sel:actionArn:ActionSummary', actionSummary_actionArn - The Amazon Resource Name (ARN) of the action.

$sel:actionType:ActionSummary', actionSummary_actionType - The type of the action.

actionSummary_creationTime :: Lens' ActionSummary (Maybe UTCTime) Source #

When the action was created.

actionSummary_status :: Lens' ActionSummary (Maybe ActionStatus) Source #

The status of the action.

actionSummary_lastModifiedTime :: Lens' ActionSummary (Maybe UTCTime) Source #

When the action was last modified.

actionSummary_actionName :: Lens' ActionSummary (Maybe Text) Source #

The name of the action.

actionSummary_source :: Lens' ActionSummary (Maybe ActionSource) Source #

The source of the action.

actionSummary_actionArn :: Lens' ActionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the action.

actionSummary_actionType :: Lens' ActionSummary (Maybe Text) Source #

The type of the action.

AgentVersion

data AgentVersion Source #

Edge Manager agent version.

See: newAgentVersion smart constructor.

Constructors

AgentVersion'
Fields version :: Text Version of the agent. agentCount :: Integer The number of Edge Manager agents.

Instances

Instances details

Eq AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Methods (==) :: AgentVersion -> AgentVersion -> Bool # (/=) :: AgentVersion -> AgentVersion -> Bool #
Read AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Methods readsPrec :: Int -> ReadS AgentVersion # readList :: ReadS [AgentVersion] # readPrec :: ReadPrec AgentVersion # readListPrec :: ReadPrec [AgentVersion] #
Show AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Methods showsPrec :: Int -> AgentVersion -> ShowS # show :: AgentVersion -> String # showList :: [AgentVersion] -> ShowS #
Generic AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Associated Types type Rep AgentVersion :: Type -> Type # Methods from :: AgentVersion -> Rep AgentVersion x # to :: Rep AgentVersion x -> AgentVersion #
NFData AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Methods rnf :: AgentVersion -> () #
Hashable AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Methods hashWithSalt :: Int -> AgentVersion -> Int # hash :: AgentVersion -> Int #
FromJSON AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion Methods parseJSON :: Value -> Parser AgentVersion # parseJSONList :: Value -> Parser [AgentVersion] #
type Rep AgentVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.AgentVersion type Rep AgentVersion = D1 ('MetaData "AgentVersion" "Amazonka.SageMaker.Types.AgentVersion" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AgentVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "version") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "agentCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))

newAgentVersion Source #

Arguments

:: Text	`$sel:version:AgentVersion'`
-> Integer	`$sel:agentCount:AgentVersion'`
-> AgentVersion

Create a value of AgentVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:version:AgentVersion', agentVersion_version - Version of the agent.

$sel:agentCount:AgentVersion', agentVersion_agentCount - The number of Edge Manager agents.

agentVersion_version :: Lens' AgentVersion Text Source #

Version of the agent.

agentVersion_agentCount :: Lens' AgentVersion Integer Source #

The number of Edge Manager agents.

Alarm

data Alarm Source #

This API is not supported.

See: newAlarm smart constructor.

Constructors

Alarm'
Fields alarmName :: Maybe Text

Instances

Instances details

Eq Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods (==) :: Alarm -> Alarm -> Bool # (/=) :: Alarm -> Alarm -> Bool #
Read Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods readsPrec :: Int -> ReadS Alarm # readList :: ReadS [Alarm] # readPrec :: ReadPrec Alarm # readListPrec :: ReadPrec [Alarm] #
Show Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods showsPrec :: Int -> Alarm -> ShowS # show :: Alarm -> String # showList :: [Alarm] -> ShowS #
Generic Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Associated Types type Rep Alarm :: Type -> Type # Methods from :: Alarm -> Rep Alarm x # to :: Rep Alarm x -> Alarm #
NFData Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods rnf :: Alarm -> () #
Hashable Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods hashWithSalt :: Int -> Alarm -> Int # hash :: Alarm -> Int #
ToJSON Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods toJSON :: Alarm -> Value # toEncoding :: Alarm -> Encoding # toJSONList :: [Alarm] -> Value # toEncodingList :: [Alarm] -> Encoding #
FromJSON Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm Methods parseJSON :: Value -> Parser Alarm # parseJSONList :: Value -> Parser [Alarm] #
type Rep Alarm Source #
Instance details Defined in Amazonka.SageMaker.Types.Alarm type Rep Alarm = D1 ('MetaData "Alarm" "Amazonka.SageMaker.Types.Alarm" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Alarm'" 'PrefixI 'True) (S1 ('MetaSel ('Just "alarmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAlarm :: Alarm Source #

Create a value of Alarm with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:alarmName:Alarm', alarm_alarmName -

alarm_alarmName :: Lens' Alarm (Maybe Text) Source #

AlgorithmSpecification

data AlgorithmSpecification Source #

Specifies the training algorithm to use in a CreateTrainingJob request.

For more information about algorithms provided by Amazon SageMaker, see Algorithms. For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.

See: newAlgorithmSpecification smart constructor.

Constructors

AlgorithmSpecification'

Fields

enableSageMakerMetricsTimeSeries :: Maybe Bool
To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:
- You use one of the Amazon SageMaker built-in algorithms
- You use one of the following Prebuilt Amazon SageMaker Docker Images:
  - Tensorflow (version >= 1.15)
  - MXNet (version >= 1.6)
  - PyTorch (version >= 1.3)
- You specify at least one MetricDefinition
algorithmName :: Maybe Text
The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace. If you specify a value for this parameter, you can't specify a value for TrainingImage.
trainingImage :: Maybe Text
The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
metricDefinitions :: Maybe [MetricDefinition]
A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon SageMaker publishes each metric to Amazon CloudWatch.
trainingInputMode :: TrainingInputMode

Instances

Instances details

Eq AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods (==) :: AlgorithmSpecification -> AlgorithmSpecification -> Bool # (/=) :: AlgorithmSpecification -> AlgorithmSpecification -> Bool #
Read AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods readsPrec :: Int -> ReadS AlgorithmSpecification # readList :: ReadS [AlgorithmSpecification] # readPrec :: ReadPrec AlgorithmSpecification # readListPrec :: ReadPrec [AlgorithmSpecification] #
Show AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods showsPrec :: Int -> AlgorithmSpecification -> ShowS # show :: AlgorithmSpecification -> String # showList :: [AlgorithmSpecification] -> ShowS #
Generic AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Associated Types type Rep AlgorithmSpecification :: Type -> Type # Methods from :: AlgorithmSpecification -> Rep AlgorithmSpecification x # to :: Rep AlgorithmSpecification x -> AlgorithmSpecification #
NFData AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods rnf :: AlgorithmSpecification -> () #
Hashable AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods hashWithSalt :: Int -> AlgorithmSpecification -> Int # hash :: AlgorithmSpecification -> Int #
ToJSON AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods toJSON :: AlgorithmSpecification -> Value # toEncoding :: AlgorithmSpecification -> Encoding # toJSONList :: [AlgorithmSpecification] -> Value # toEncodingList :: [AlgorithmSpecification] -> Encoding #
FromJSON AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification Methods parseJSON :: Value -> Parser AlgorithmSpecification # parseJSONList :: Value -> Parser [AlgorithmSpecification] #
type Rep AlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSpecification type Rep AlgorithmSpecification = D1 ('MetaData "AlgorithmSpecification" "Amazonka.SageMaker.Types.AlgorithmSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AlgorithmSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "enableSageMakerMetricsTimeSeries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "trainingImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "metricDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDefinition])) :: S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInputMode)))))

newAlgorithmSpecification Source #

Arguments

:: TrainingInputMode	`$sel:trainingInputMode:AlgorithmSpecification'`
-> AlgorithmSpecification

Create a value of AlgorithmSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableSageMakerMetricsTimeSeries:AlgorithmSpecification', algorithmSpecification_enableSageMakerMetricsTimeSeries - To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:

You use one of the Amazon SageMaker built-in algorithms
You use one of the following Prebuilt Amazon SageMaker Docker Images:
- Tensorflow (version >= 1.15)
- MXNet (version >= 1.6)
- PyTorch (version >= 1.3)
You specify at least one MetricDefinition

$sel:algorithmName:AlgorithmSpecification', algorithmSpecification_algorithmName - The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace. If you specify a value for this parameter, you can't specify a value for TrainingImage.

$sel:trainingImage:AlgorithmSpecification', algorithmSpecification_trainingImage - The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

$sel:metricDefinitions:AlgorithmSpecification', algorithmSpecification_metricDefinitions - A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon SageMaker publishes each metric to Amazon CloudWatch.

$sel:trainingInputMode:AlgorithmSpecification', algorithmSpecification_trainingInputMode - Undocumented member.

algorithmSpecification_enableSageMakerMetricsTimeSeries :: Lens' AlgorithmSpecification (Maybe Bool) Source #

To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:

You use one of the Amazon SageMaker built-in algorithms
You use one of the following Prebuilt Amazon SageMaker Docker Images:
- Tensorflow (version >= 1.15)
- MXNet (version >= 1.6)
- PyTorch (version >= 1.3)
You specify at least one MetricDefinition

algorithmSpecification_algorithmName :: Lens' AlgorithmSpecification (Maybe Text) Source #

The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace. If you specify a value for this parameter, you can't specify a value for TrainingImage.

algorithmSpecification_trainingImage :: Lens' AlgorithmSpecification (Maybe Text) Source #

The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

algorithmSpecification_metricDefinitions :: Lens' AlgorithmSpecification (Maybe [MetricDefinition]) Source #

A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon SageMaker publishes each metric to Amazon CloudWatch.

algorithmSpecification_trainingInputMode :: Lens' AlgorithmSpecification TrainingInputMode Source #

Undocumented member.

AlgorithmStatusDetails

data AlgorithmStatusDetails Source #

Specifies the validation and image scan statuses of the algorithm.

See: newAlgorithmStatusDetails smart constructor.

Constructors

AlgorithmStatusDetails'
Fields imageScanStatuses :: Maybe [AlgorithmStatusItem] The status of the scan of the algorithm's Docker image container. validationStatuses :: Maybe [AlgorithmStatusItem] The status of algorithm validation.

Instances

Instances details

Eq AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Methods (==) :: AlgorithmStatusDetails -> AlgorithmStatusDetails -> Bool # (/=) :: AlgorithmStatusDetails -> AlgorithmStatusDetails -> Bool #
Read AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Methods readsPrec :: Int -> ReadS AlgorithmStatusDetails # readList :: ReadS [AlgorithmStatusDetails] # readPrec :: ReadPrec AlgorithmStatusDetails # readListPrec :: ReadPrec [AlgorithmStatusDetails] #
Show AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Methods showsPrec :: Int -> AlgorithmStatusDetails -> ShowS # show :: AlgorithmStatusDetails -> String # showList :: [AlgorithmStatusDetails] -> ShowS #
Generic AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Associated Types type Rep AlgorithmStatusDetails :: Type -> Type # Methods from :: AlgorithmStatusDetails -> Rep AlgorithmStatusDetails x # to :: Rep AlgorithmStatusDetails x -> AlgorithmStatusDetails #
NFData AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Methods rnf :: AlgorithmStatusDetails -> () #
Hashable AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Methods hashWithSalt :: Int -> AlgorithmStatusDetails -> Int # hash :: AlgorithmStatusDetails -> Int #
FromJSON AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails Methods parseJSON :: Value -> Parser AlgorithmStatusDetails # parseJSONList :: Value -> Parser [AlgorithmStatusDetails] #
type Rep AlgorithmStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails type Rep AlgorithmStatusDetails = D1 ('MetaData "AlgorithmStatusDetails" "Amazonka.SageMaker.Types.AlgorithmStatusDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AlgorithmStatusDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "imageScanStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AlgorithmStatusItem])) :*: S1 ('MetaSel ('Just "validationStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AlgorithmStatusItem]))))

newAlgorithmStatusDetails :: AlgorithmStatusDetails Source #

Create a value of AlgorithmStatusDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:imageScanStatuses:AlgorithmStatusDetails', algorithmStatusDetails_imageScanStatuses - The status of the scan of the algorithm's Docker image container.

$sel:validationStatuses:AlgorithmStatusDetails', algorithmStatusDetails_validationStatuses - The status of algorithm validation.

algorithmStatusDetails_imageScanStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem]) Source #

The status of the scan of the algorithm's Docker image container.

algorithmStatusDetails_validationStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem]) Source #

The status of algorithm validation.

AlgorithmStatusItem

data AlgorithmStatusItem Source #

Represents the overall status of an algorithm.

See: newAlgorithmStatusItem smart constructor.

Constructors

AlgorithmStatusItem'
Fields failureReason :: Maybe Text if the overall status is `Failed`, the reason for the failure. name :: Text The name of the algorithm for which the overall status is being reported. status :: DetailedAlgorithmStatus The current status.

Instances

Instances details

Eq AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Methods (==) :: AlgorithmStatusItem -> AlgorithmStatusItem -> Bool # (/=) :: AlgorithmStatusItem -> AlgorithmStatusItem -> Bool #
Read AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Methods readsPrec :: Int -> ReadS AlgorithmStatusItem # readList :: ReadS [AlgorithmStatusItem] # readPrec :: ReadPrec AlgorithmStatusItem # readListPrec :: ReadPrec [AlgorithmStatusItem] #
Show AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Methods showsPrec :: Int -> AlgorithmStatusItem -> ShowS # show :: AlgorithmStatusItem -> String # showList :: [AlgorithmStatusItem] -> ShowS #
Generic AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Associated Types type Rep AlgorithmStatusItem :: Type -> Type # Methods from :: AlgorithmStatusItem -> Rep AlgorithmStatusItem x # to :: Rep AlgorithmStatusItem x -> AlgorithmStatusItem #
NFData AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Methods rnf :: AlgorithmStatusItem -> () #
Hashable AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Methods hashWithSalt :: Int -> AlgorithmStatusItem -> Int # hash :: AlgorithmStatusItem -> Int #
FromJSON AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem Methods parseJSON :: Value -> Parser AlgorithmStatusItem # parseJSONList :: Value -> Parser [AlgorithmStatusItem] #
type Rep AlgorithmStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem type Rep AlgorithmStatusItem = D1 ('MetaData "AlgorithmStatusItem" "Amazonka.SageMaker.Types.AlgorithmStatusItem" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AlgorithmStatusItem'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DetailedAlgorithmStatus))))

newAlgorithmStatusItem Source #

Arguments

:: Text	`$sel:name:AlgorithmStatusItem'`
-> DetailedAlgorithmStatus	`$sel:status:AlgorithmStatusItem'`
-> AlgorithmStatusItem

Create a value of AlgorithmStatusItem with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:AlgorithmStatusItem', algorithmStatusItem_failureReason - if the overall status is Failed, the reason for the failure.

$sel:name:AlgorithmStatusItem', algorithmStatusItem_name - The name of the algorithm for which the overall status is being reported.

$sel:status:AlgorithmStatusItem', algorithmStatusItem_status - The current status.

algorithmStatusItem_failureReason :: Lens' AlgorithmStatusItem (Maybe Text) Source #

if the overall status is Failed, the reason for the failure.

algorithmStatusItem_name :: Lens' AlgorithmStatusItem Text Source #

The name of the algorithm for which the overall status is being reported.

algorithmStatusItem_status :: Lens' AlgorithmStatusItem DetailedAlgorithmStatus Source #

The current status.

AlgorithmSummary

data AlgorithmSummary Source #

Provides summary information about an algorithm.

See: newAlgorithmSummary smart constructor.

Constructors

AlgorithmSummary'
Fields algorithmDescription :: Maybe Text A brief description of the algorithm. algorithmName :: Text The name of the algorithm that is described by the summary. algorithmArn :: Text The Amazon Resource Name (ARN) of the algorithm. creationTime :: POSIX A timestamp that shows when the algorithm was created. algorithmStatus :: AlgorithmStatus The overall status of the algorithm.

Instances

Instances details

Eq AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Methods (==) :: AlgorithmSummary -> AlgorithmSummary -> Bool # (/=) :: AlgorithmSummary -> AlgorithmSummary -> Bool #
Read AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Methods readsPrec :: Int -> ReadS AlgorithmSummary # readList :: ReadS [AlgorithmSummary] # readPrec :: ReadPrec AlgorithmSummary # readListPrec :: ReadPrec [AlgorithmSummary] #
Show AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Methods showsPrec :: Int -> AlgorithmSummary -> ShowS # show :: AlgorithmSummary -> String # showList :: [AlgorithmSummary] -> ShowS #
Generic AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Associated Types type Rep AlgorithmSummary :: Type -> Type # Methods from :: AlgorithmSummary -> Rep AlgorithmSummary x # to :: Rep AlgorithmSummary x -> AlgorithmSummary #
NFData AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Methods rnf :: AlgorithmSummary -> () #
Hashable AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Methods hashWithSalt :: Int -> AlgorithmSummary -> Int # hash :: AlgorithmSummary -> Int #
FromJSON AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary Methods parseJSON :: Value -> Parser AlgorithmSummary # parseJSONList :: Value -> Parser [AlgorithmSummary] #
type Rep AlgorithmSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmSummary type Rep AlgorithmSummary = D1 ('MetaData "AlgorithmSummary" "Amazonka.SageMaker.Types.AlgorithmSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AlgorithmSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "algorithmDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "algorithmStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AlgorithmStatus)))))

newAlgorithmSummary Source #

Arguments

:: Text	`$sel:algorithmName:AlgorithmSummary'`
-> Text	`$sel:algorithmArn:AlgorithmSummary'`
-> UTCTime	`$sel:creationTime:AlgorithmSummary'`
-> AlgorithmStatus	`$sel:algorithmStatus:AlgorithmSummary'`
-> AlgorithmSummary

Create a value of AlgorithmSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmDescription:AlgorithmSummary', algorithmSummary_algorithmDescription - A brief description of the algorithm.

$sel:algorithmName:AlgorithmSummary', algorithmSummary_algorithmName - The name of the algorithm that is described by the summary.

$sel:algorithmArn:AlgorithmSummary', algorithmSummary_algorithmArn - The Amazon Resource Name (ARN) of the algorithm.

$sel:creationTime:AlgorithmSummary', algorithmSummary_creationTime - A timestamp that shows when the algorithm was created.

$sel:algorithmStatus:AlgorithmSummary', algorithmSummary_algorithmStatus - The overall status of the algorithm.

algorithmSummary_algorithmDescription :: Lens' AlgorithmSummary (Maybe Text) Source #

A brief description of the algorithm.

algorithmSummary_algorithmName :: Lens' AlgorithmSummary Text Source #

The name of the algorithm that is described by the summary.

algorithmSummary_algorithmArn :: Lens' AlgorithmSummary Text Source #

The Amazon Resource Name (ARN) of the algorithm.

algorithmSummary_creationTime :: Lens' AlgorithmSummary UTCTime Source #

A timestamp that shows when the algorithm was created.

algorithmSummary_algorithmStatus :: Lens' AlgorithmSummary AlgorithmStatus Source #

The overall status of the algorithm.

AlgorithmValidationProfile

data AlgorithmValidationProfile Source #

Defines a training job and a batch transform job that Amazon SageMaker runs to validate your algorithm.

The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.

See: newAlgorithmValidationProfile smart constructor.

Constructors

AlgorithmValidationProfile'

Fields

transformJobDefinition :: Maybe TransformJobDefinition
The TransformJobDefinition object that describes the transform job that Amazon SageMaker runs to validate your algorithm.
profileName :: Text
The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
trainingJobDefinition :: TrainingJobDefinition
The TrainingJobDefinition object that describes the training job that Amazon SageMaker runs to validate your algorithm.

Instances

Instances details

Eq AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods (==) :: AlgorithmValidationProfile -> AlgorithmValidationProfile -> Bool # (/=) :: AlgorithmValidationProfile -> AlgorithmValidationProfile -> Bool #
Read AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods readsPrec :: Int -> ReadS AlgorithmValidationProfile # readList :: ReadS [AlgorithmValidationProfile] # readPrec :: ReadPrec AlgorithmValidationProfile # readListPrec :: ReadPrec [AlgorithmValidationProfile] #
Show AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods showsPrec :: Int -> AlgorithmValidationProfile -> ShowS # show :: AlgorithmValidationProfile -> String # showList :: [AlgorithmValidationProfile] -> ShowS #
Generic AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Associated Types type Rep AlgorithmValidationProfile :: Type -> Type # Methods from :: AlgorithmValidationProfile -> Rep AlgorithmValidationProfile x # to :: Rep AlgorithmValidationProfile x -> AlgorithmValidationProfile #
NFData AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods rnf :: AlgorithmValidationProfile -> () #
Hashable AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods hashWithSalt :: Int -> AlgorithmValidationProfile -> Int # hash :: AlgorithmValidationProfile -> Int #
ToJSON AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods toJSON :: AlgorithmValidationProfile -> Value # toEncoding :: AlgorithmValidationProfile -> Encoding # toJSONList :: [AlgorithmValidationProfile] -> Value # toEncodingList :: [AlgorithmValidationProfile] -> Encoding #
FromJSON AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile Methods parseJSON :: Value -> Parser AlgorithmValidationProfile # parseJSONList :: Value -> Parser [AlgorithmValidationProfile] #
type Rep AlgorithmValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile type Rep AlgorithmValidationProfile = D1 ('MetaData "AlgorithmValidationProfile" "Amazonka.SageMaker.Types.AlgorithmValidationProfile" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AlgorithmValidationProfile'" 'PrefixI 'True) (S1 ('MetaSel ('Just "transformJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJobDefinition)) :: (S1 ('MetaSel ('Just "profileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "trainingJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobDefinition))))

newAlgorithmValidationProfile Source #

Arguments

:: Text	`$sel:profileName:AlgorithmValidationProfile'`
-> TrainingJobDefinition	`$sel:trainingJobDefinition:AlgorithmValidationProfile'`
-> AlgorithmValidationProfile

Create a value of AlgorithmValidationProfile with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:transformJobDefinition:AlgorithmValidationProfile', algorithmValidationProfile_transformJobDefinition - The TransformJobDefinition object that describes the transform job that Amazon SageMaker runs to validate your algorithm.

$sel:profileName:AlgorithmValidationProfile', algorithmValidationProfile_profileName - The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).

$sel:trainingJobDefinition:AlgorithmValidationProfile', algorithmValidationProfile_trainingJobDefinition - The TrainingJobDefinition object that describes the training job that Amazon SageMaker runs to validate your algorithm.

algorithmValidationProfile_transformJobDefinition :: Lens' AlgorithmValidationProfile (Maybe TransformJobDefinition) Source #

The TransformJobDefinition object that describes the transform job that Amazon SageMaker runs to validate your algorithm.

algorithmValidationProfile_profileName :: Lens' AlgorithmValidationProfile Text Source #

The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).

algorithmValidationProfile_trainingJobDefinition :: Lens' AlgorithmValidationProfile TrainingJobDefinition Source #

The TrainingJobDefinition object that describes the training job that Amazon SageMaker runs to validate your algorithm.

AlgorithmValidationSpecification

data AlgorithmValidationSpecification Source #

Specifies configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.

See: newAlgorithmValidationSpecification smart constructor.

Constructors

AlgorithmValidationSpecification'
Fields validationRole :: Text The IAM roles that Amazon SageMaker uses to run the training jobs. validationProfiles :: NonEmpty AlgorithmValidationProfile An array of `AlgorithmValidationProfile` objects, each of which specifies a training job and batch transform job that Amazon SageMaker runs to validate your algorithm.

Instances

Instances details

Eq AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods (==) :: AlgorithmValidationSpecification -> AlgorithmValidationSpecification -> Bool # (/=) :: AlgorithmValidationSpecification -> AlgorithmValidationSpecification -> Bool #
Read AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods readsPrec :: Int -> ReadS AlgorithmValidationSpecification # readList :: ReadS [AlgorithmValidationSpecification] # readPrec :: ReadPrec AlgorithmValidationSpecification # readListPrec :: ReadPrec [AlgorithmValidationSpecification] #
Show AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods showsPrec :: Int -> AlgorithmValidationSpecification -> ShowS # show :: AlgorithmValidationSpecification -> String # showList :: [AlgorithmValidationSpecification] -> ShowS #
Generic AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Associated Types type Rep AlgorithmValidationSpecification :: Type -> Type # Methods from :: AlgorithmValidationSpecification -> Rep AlgorithmValidationSpecification x # to :: Rep AlgorithmValidationSpecification x -> AlgorithmValidationSpecification #
NFData AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods rnf :: AlgorithmValidationSpecification -> () #
Hashable AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods hashWithSalt :: Int -> AlgorithmValidationSpecification -> Int # hash :: AlgorithmValidationSpecification -> Int #
ToJSON AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods toJSON :: AlgorithmValidationSpecification -> Value # toEncoding :: AlgorithmValidationSpecification -> Encoding # toJSONList :: [AlgorithmValidationSpecification] -> Value # toEncodingList :: [AlgorithmValidationSpecification] -> Encoding #
FromJSON AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification Methods parseJSON :: Value -> Parser AlgorithmValidationSpecification # parseJSONList :: Value -> Parser [AlgorithmValidationSpecification] #
type Rep AlgorithmValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification type Rep AlgorithmValidationSpecification = D1 ('MetaData "AlgorithmValidationSpecification" "Amazonka.SageMaker.Types.AlgorithmValidationSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AlgorithmValidationSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "validationRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "validationProfiles") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty AlgorithmValidationProfile))))

newAlgorithmValidationSpecification Source #

Arguments

:: Text	`$sel:validationRole:AlgorithmValidationSpecification'`
-> NonEmpty AlgorithmValidationProfile	`$sel:validationProfiles:AlgorithmValidationSpecification'`
-> AlgorithmValidationSpecification

Create a value of AlgorithmValidationSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:validationRole:AlgorithmValidationSpecification', algorithmValidationSpecification_validationRole - The IAM roles that Amazon SageMaker uses to run the training jobs.

$sel:validationProfiles:AlgorithmValidationSpecification', algorithmValidationSpecification_validationProfiles - An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch transform job that Amazon SageMaker runs to validate your algorithm.

algorithmValidationSpecification_validationRole :: Lens' AlgorithmValidationSpecification Text Source #

The IAM roles that Amazon SageMaker uses to run the training jobs.

algorithmValidationSpecification_validationProfiles :: Lens' AlgorithmValidationSpecification (NonEmpty AlgorithmValidationProfile) Source #

An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch transform job that Amazon SageMaker runs to validate your algorithm.

AnnotationConsolidationConfig

data AnnotationConsolidationConfig Source #

Configures how labels are consolidated across human workers and processes output data.

See: newAnnotationConsolidationConfig smart constructor.

Constructors

AnnotationConsolidationConfig'

Fields

annotationConsolidationLambdaArn :: Text

The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.

This parameter is required for all labeling jobs. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition

arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition

arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition

arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation

Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation

Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox

Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking

3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection

3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation

Instances

Instances details

Eq AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods (==) :: AnnotationConsolidationConfig -> AnnotationConsolidationConfig -> Bool # (/=) :: AnnotationConsolidationConfig -> AnnotationConsolidationConfig -> Bool #
Read AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods readsPrec :: Int -> ReadS AnnotationConsolidationConfig # readList :: ReadS [AnnotationConsolidationConfig] # readPrec :: ReadPrec AnnotationConsolidationConfig # readListPrec :: ReadPrec [AnnotationConsolidationConfig] #
Show AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods showsPrec :: Int -> AnnotationConsolidationConfig -> ShowS # show :: AnnotationConsolidationConfig -> String # showList :: [AnnotationConsolidationConfig] -> ShowS #
Generic AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Associated Types type Rep AnnotationConsolidationConfig :: Type -> Type # Methods from :: AnnotationConsolidationConfig -> Rep AnnotationConsolidationConfig x # to :: Rep AnnotationConsolidationConfig x -> AnnotationConsolidationConfig #
NFData AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods rnf :: AnnotationConsolidationConfig -> () #
Hashable AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods hashWithSalt :: Int -> AnnotationConsolidationConfig -> Int # hash :: AnnotationConsolidationConfig -> Int #
ToJSON AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods toJSON :: AnnotationConsolidationConfig -> Value # toEncoding :: AnnotationConsolidationConfig -> Encoding # toJSONList :: [AnnotationConsolidationConfig] -> Value # toEncodingList :: [AnnotationConsolidationConfig] -> Encoding #
FromJSON AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig Methods parseJSON :: Value -> Parser AnnotationConsolidationConfig # parseJSONList :: Value -> Parser [AnnotationConsolidationConfig] #
type Rep AnnotationConsolidationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig type Rep AnnotationConsolidationConfig = D1 ('MetaData "AnnotationConsolidationConfig" "Amazonka.SageMaker.Types.AnnotationConsolidationConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AnnotationConsolidationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "annotationConsolidationLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAnnotationConsolidationConfig Source #

Arguments

:: Text	`$sel:annotationConsolidationLambdaArn:AnnotationConsolidationConfig'`
-> AnnotationConsolidationConfig

Create a value of AnnotationConsolidationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:annotationConsolidationLambdaArn:AnnotationConsolidationConfig', annotationConsolidationConfig_annotationConsolidationLambdaArn - The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.

This parameter is required for all labeling jobs. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition

arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition

arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition

arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation

Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation

Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox

Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking

3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection

3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation

annotationConsolidationConfig_annotationConsolidationLambdaArn :: Lens' AnnotationConsolidationConfig Text Source #

The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.

This parameter is required for all labeling jobs. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition

arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition

arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition

arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition

arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation

Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation

Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox

Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking

3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection

3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.

arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation

AppDetails

data AppDetails Source #

Details about an Amazon SageMaker app.

See: newAppDetails smart constructor.

Constructors

AppDetails'
Fields creationTime :: Maybe POSIX The creation time. status :: Maybe AppStatus The status. userProfileName :: Maybe Text The user profile name. appName :: Maybe Text The name of the app. domainId :: Maybe Text The domain ID. appType :: Maybe AppType The type of app.

Instances

Instances details

Eq AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Methods (==) :: AppDetails -> AppDetails -> Bool # (/=) :: AppDetails -> AppDetails -> Bool #
Read AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Methods readsPrec :: Int -> ReadS AppDetails # readList :: ReadS [AppDetails] # readPrec :: ReadPrec AppDetails # readListPrec :: ReadPrec [AppDetails] #
Show AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Methods showsPrec :: Int -> AppDetails -> ShowS # show :: AppDetails -> String # showList :: [AppDetails] -> ShowS #
Generic AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Associated Types type Rep AppDetails :: Type -> Type # Methods from :: AppDetails -> Rep AppDetails x # to :: Rep AppDetails x -> AppDetails #
NFData AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Methods rnf :: AppDetails -> () #
Hashable AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Methods hashWithSalt :: Int -> AppDetails -> Int # hash :: AppDetails -> Int #
FromJSON AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails Methods parseJSON :: Value -> Parser AppDetails # parseJSONList :: Value -> Parser [AppDetails] #
type Rep AppDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppDetails type Rep AppDetails = D1 ('MetaData "AppDetails" "Amazonka.SageMaker.Types.AppDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AppDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppStatus)) :: S1 ('MetaSel ('Just "userProfileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "appName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "appType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppType))))))

newAppDetails :: AppDetails Source #

Create a value of AppDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:AppDetails', appDetails_creationTime - The creation time.

$sel:status:AppDetails', appDetails_status - The status.

$sel:userProfileName:AppDetails', appDetails_userProfileName - The user profile name.

$sel:appName:AppDetails', appDetails_appName - The name of the app.

$sel:domainId:AppDetails', appDetails_domainId - The domain ID.

$sel:appType:AppDetails', appDetails_appType - The type of app.

appDetails_creationTime :: Lens' AppDetails (Maybe UTCTime) Source #

The creation time.

appDetails_status :: Lens' AppDetails (Maybe AppStatus) Source #

The status.

appDetails_userProfileName :: Lens' AppDetails (Maybe Text) Source #

The user profile name.

appDetails_appName :: Lens' AppDetails (Maybe Text) Source #

The name of the app.

appDetails_domainId :: Lens' AppDetails (Maybe Text) Source #

The domain ID.

appDetails_appType :: Lens' AppDetails (Maybe AppType) Source #

The type of app.

AppImageConfigDetails

data AppImageConfigDetails Source #

The configuration for running a SageMaker image as a KernelGateway app.

See: newAppImageConfigDetails smart constructor.

Constructors

AppImageConfigDetails'

Fields

creationTime :: Maybe POSIX
When the AppImageConfig was created.
appImageConfigName :: Maybe Text
The name of the AppImageConfig. Must be unique to your account.
lastModifiedTime :: Maybe POSIX
When the AppImageConfig was last modified.
kernelGatewayImageConfig :: Maybe KernelGatewayImageConfig
The configuration for the file system and kernels in the SageMaker image.
appImageConfigArn :: Maybe Text
The Amazon Resource Name (ARN) of the AppImageConfig.

Instances

Instances details

Eq AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Methods (==) :: AppImageConfigDetails -> AppImageConfigDetails -> Bool # (/=) :: AppImageConfigDetails -> AppImageConfigDetails -> Bool #
Read AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Methods readsPrec :: Int -> ReadS AppImageConfigDetails # readList :: ReadS [AppImageConfigDetails] # readPrec :: ReadPrec AppImageConfigDetails # readListPrec :: ReadPrec [AppImageConfigDetails] #
Show AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Methods showsPrec :: Int -> AppImageConfigDetails -> ShowS # show :: AppImageConfigDetails -> String # showList :: [AppImageConfigDetails] -> ShowS #
Generic AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Associated Types type Rep AppImageConfigDetails :: Type -> Type # Methods from :: AppImageConfigDetails -> Rep AppImageConfigDetails x # to :: Rep AppImageConfigDetails x -> AppImageConfigDetails #
NFData AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Methods rnf :: AppImageConfigDetails -> () #
Hashable AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Methods hashWithSalt :: Int -> AppImageConfigDetails -> Int # hash :: AppImageConfigDetails -> Int #
FromJSON AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails Methods parseJSON :: Value -> Parser AppImageConfigDetails # parseJSONList :: Value -> Parser [AppImageConfigDetails] #
type Rep AppImageConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.AppImageConfigDetails type Rep AppImageConfigDetails = D1 ('MetaData "AppImageConfigDetails" "Amazonka.SageMaker.Types.AppImageConfigDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AppImageConfigDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "appImageConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "kernelGatewayImageConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KernelGatewayImageConfig)) :: S1 ('MetaSel ('Just "appImageConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newAppImageConfigDetails :: AppImageConfigDetails Source #

Create a value of AppImageConfigDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:AppImageConfigDetails', appImageConfigDetails_creationTime - When the AppImageConfig was created.

$sel:appImageConfigName:AppImageConfigDetails', appImageConfigDetails_appImageConfigName - The name of the AppImageConfig. Must be unique to your account.

$sel:lastModifiedTime:AppImageConfigDetails', appImageConfigDetails_lastModifiedTime - When the AppImageConfig was last modified.

$sel:kernelGatewayImageConfig:AppImageConfigDetails', appImageConfigDetails_kernelGatewayImageConfig - The configuration for the file system and kernels in the SageMaker image.

$sel:appImageConfigArn:AppImageConfigDetails', appImageConfigDetails_appImageConfigArn - The Amazon Resource Name (ARN) of the AppImageConfig.

appImageConfigDetails_creationTime :: Lens' AppImageConfigDetails (Maybe UTCTime) Source #

When the AppImageConfig was created.

appImageConfigDetails_appImageConfigName :: Lens' AppImageConfigDetails (Maybe Text) Source #

The name of the AppImageConfig. Must be unique to your account.

appImageConfigDetails_lastModifiedTime :: Lens' AppImageConfigDetails (Maybe UTCTime) Source #

When the AppImageConfig was last modified.

appImageConfigDetails_kernelGatewayImageConfig :: Lens' AppImageConfigDetails (Maybe KernelGatewayImageConfig) Source #

The configuration for the file system and kernels in the SageMaker image.

appImageConfigDetails_appImageConfigArn :: Lens' AppImageConfigDetails (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AppImageConfig.

AppSpecification

data AppSpecification Source #

Configuration to run a processing job in a specified container image.

See: newAppSpecification smart constructor.

Constructors

AppSpecification'
Fields containerArguments :: Maybe (NonEmpty Text) The arguments for a container used to run a processing job. containerEntrypoint :: Maybe (NonEmpty Text) The entrypoint for a container used to run a processing job. imageUri :: Text The container image to be run by the processing job.

Instances

Instances details

Eq AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods (==) :: AppSpecification -> AppSpecification -> Bool # (/=) :: AppSpecification -> AppSpecification -> Bool #
Read AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods readsPrec :: Int -> ReadS AppSpecification # readList :: ReadS [AppSpecification] # readPrec :: ReadPrec AppSpecification # readListPrec :: ReadPrec [AppSpecification] #
Show AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods showsPrec :: Int -> AppSpecification -> ShowS # show :: AppSpecification -> String # showList :: [AppSpecification] -> ShowS #
Generic AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Associated Types type Rep AppSpecification :: Type -> Type # Methods from :: AppSpecification -> Rep AppSpecification x # to :: Rep AppSpecification x -> AppSpecification #
NFData AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods rnf :: AppSpecification -> () #
Hashable AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods hashWithSalt :: Int -> AppSpecification -> Int # hash :: AppSpecification -> Int #
ToJSON AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods toJSON :: AppSpecification -> Value # toEncoding :: AppSpecification -> Encoding # toJSONList :: [AppSpecification] -> Value # toEncodingList :: [AppSpecification] -> Encoding #
FromJSON AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification Methods parseJSON :: Value -> Parser AppSpecification # parseJSONList :: Value -> Parser [AppSpecification] #
type Rep AppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.AppSpecification type Rep AppSpecification = D1 ('MetaData "AppSpecification" "Amazonka.SageMaker.Types.AppSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AppSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAppSpecification Source #

Arguments

:: Text	`$sel:imageUri:AppSpecification'`
-> AppSpecification

Create a value of AppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:AppSpecification', appSpecification_containerArguments - The arguments for a container used to run a processing job.

$sel:containerEntrypoint:AppSpecification', appSpecification_containerEntrypoint - The entrypoint for a container used to run a processing job.

$sel:imageUri:AppSpecification', appSpecification_imageUri - The container image to be run by the processing job.

appSpecification_containerArguments :: Lens' AppSpecification (Maybe (NonEmpty Text)) Source #

The arguments for a container used to run a processing job.

appSpecification_containerEntrypoint :: Lens' AppSpecification (Maybe (NonEmpty Text)) Source #

The entrypoint for a container used to run a processing job.

appSpecification_imageUri :: Lens' AppSpecification Text Source #

The container image to be run by the processing job.

ArtifactSource

data ArtifactSource Source #

A structure describing the source of an artifact.

See: newArtifactSource smart constructor.

Constructors

ArtifactSource'
Fields sourceTypes :: Maybe [ArtifactSourceType] A list of source types. sourceUri :: Text The URI of the source.

Instances

Instances details

Eq ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods (==) :: ArtifactSource -> ArtifactSource -> Bool # (/=) :: ArtifactSource -> ArtifactSource -> Bool #
Read ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods readsPrec :: Int -> ReadS ArtifactSource # readList :: ReadS [ArtifactSource] # readPrec :: ReadPrec ArtifactSource # readListPrec :: ReadPrec [ArtifactSource] #
Show ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods showsPrec :: Int -> ArtifactSource -> ShowS # show :: ArtifactSource -> String # showList :: [ArtifactSource] -> ShowS #
Generic ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Associated Types type Rep ArtifactSource :: Type -> Type # Methods from :: ArtifactSource -> Rep ArtifactSource x # to :: Rep ArtifactSource x -> ArtifactSource #
NFData ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods rnf :: ArtifactSource -> () #
Hashable ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods hashWithSalt :: Int -> ArtifactSource -> Int # hash :: ArtifactSource -> Int #
ToJSON ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods toJSON :: ArtifactSource -> Value # toEncoding :: ArtifactSource -> Encoding # toJSONList :: [ArtifactSource] -> Value # toEncodingList :: [ArtifactSource] -> Encoding #
FromJSON ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource Methods parseJSON :: Value -> Parser ArtifactSource # parseJSONList :: Value -> Parser [ArtifactSource] #
type Rep ArtifactSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSource type Rep ArtifactSource = D1 ('MetaData "ArtifactSource" "Amazonka.SageMaker.Types.ArtifactSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ArtifactSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ArtifactSourceType])) :*: S1 ('MetaSel ('Just "sourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newArtifactSource Source #

Arguments

:: Text	`$sel:sourceUri:ArtifactSource'`
-> ArtifactSource

Create a value of ArtifactSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceTypes:ArtifactSource', artifactSource_sourceTypes - A list of source types.

$sel:sourceUri:ArtifactSource', artifactSource_sourceUri - The URI of the source.

artifactSource_sourceTypes :: Lens' ArtifactSource (Maybe [ArtifactSourceType]) Source #

A list of source types.

artifactSource_sourceUri :: Lens' ArtifactSource Text Source #

The URI of the source.

ArtifactSourceType

data ArtifactSourceType Source #

The ID and ID type of an artifact source.

See: newArtifactSourceType smart constructor.

Constructors

ArtifactSourceType'
Fields sourceIdType :: ArtifactSourceIdType The type of ID. value :: Text The ID.

Instances

Instances details

Eq ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods (==) :: ArtifactSourceType -> ArtifactSourceType -> Bool # (/=) :: ArtifactSourceType -> ArtifactSourceType -> Bool #
Read ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods readsPrec :: Int -> ReadS ArtifactSourceType # readList :: ReadS [ArtifactSourceType] # readPrec :: ReadPrec ArtifactSourceType # readListPrec :: ReadPrec [ArtifactSourceType] #
Show ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods showsPrec :: Int -> ArtifactSourceType -> ShowS # show :: ArtifactSourceType -> String # showList :: [ArtifactSourceType] -> ShowS #
Generic ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Associated Types type Rep ArtifactSourceType :: Type -> Type # Methods from :: ArtifactSourceType -> Rep ArtifactSourceType x # to :: Rep ArtifactSourceType x -> ArtifactSourceType #
NFData ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods rnf :: ArtifactSourceType -> () #
Hashable ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods hashWithSalt :: Int -> ArtifactSourceType -> Int # hash :: ArtifactSourceType -> Int #
ToJSON ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods toJSON :: ArtifactSourceType -> Value # toEncoding :: ArtifactSourceType -> Encoding # toJSONList :: [ArtifactSourceType] -> Value # toEncodingList :: [ArtifactSourceType] -> Encoding #
FromJSON ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType Methods parseJSON :: Value -> Parser ArtifactSourceType # parseJSONList :: Value -> Parser [ArtifactSourceType] #
type Rep ArtifactSourceType Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSourceType type Rep ArtifactSourceType = D1 ('MetaData "ArtifactSourceType" "Amazonka.SageMaker.Types.ArtifactSourceType" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ArtifactSourceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceIdType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ArtifactSourceIdType) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newArtifactSourceType Source #

Arguments

:: ArtifactSourceIdType	`$sel:sourceIdType:ArtifactSourceType'`
-> Text	`$sel:value:ArtifactSourceType'`
-> ArtifactSourceType

Create a value of ArtifactSourceType with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceIdType:ArtifactSourceType', artifactSourceType_sourceIdType - The type of ID.

$sel:value:ArtifactSourceType', artifactSourceType_value - The ID.

artifactSourceType_sourceIdType :: Lens' ArtifactSourceType ArtifactSourceIdType Source #

The type of ID.

artifactSourceType_value :: Lens' ArtifactSourceType Text Source #

The ID.

ArtifactSummary

data ArtifactSummary Source #

Lists a summary of the properties of an artifact. An artifact represents a URI addressable object or data. Some examples are a dataset and a model.

See: newArtifactSummary smart constructor.

Constructors

ArtifactSummary'
Fields creationTime :: Maybe POSIX When the artifact was created. lastModifiedTime :: Maybe POSIX When the artifact was last modified. artifactName :: Maybe Text The name of the artifact. source :: Maybe ArtifactSource The source of the artifact. artifactArn :: Maybe Text The Amazon Resource Name (ARN) of the artifact. artifactType :: Maybe Text The type of the artifact.

Instances

Instances details

Eq ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Methods (==) :: ArtifactSummary -> ArtifactSummary -> Bool # (/=) :: ArtifactSummary -> ArtifactSummary -> Bool #
Read ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Methods readsPrec :: Int -> ReadS ArtifactSummary # readList :: ReadS [ArtifactSummary] # readPrec :: ReadPrec ArtifactSummary # readListPrec :: ReadPrec [ArtifactSummary] #
Show ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Methods showsPrec :: Int -> ArtifactSummary -> ShowS # show :: ArtifactSummary -> String # showList :: [ArtifactSummary] -> ShowS #
Generic ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Associated Types type Rep ArtifactSummary :: Type -> Type # Methods from :: ArtifactSummary -> Rep ArtifactSummary x # to :: Rep ArtifactSummary x -> ArtifactSummary #
NFData ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Methods rnf :: ArtifactSummary -> () #
Hashable ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Methods hashWithSalt :: Int -> ArtifactSummary -> Int # hash :: ArtifactSummary -> Int #
FromJSON ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary Methods parseJSON :: Value -> Parser ArtifactSummary # parseJSONList :: Value -> Parser [ArtifactSummary] #
type Rep ArtifactSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ArtifactSummary type Rep ArtifactSummary = D1 ('MetaData "ArtifactSummary" "Amazonka.SageMaker.Types.ArtifactSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ArtifactSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "artifactName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ArtifactSource)) :: (S1 ('MetaSel ('Just "artifactArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "artifactType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newArtifactSummary :: ArtifactSummary Source #

Create a value of ArtifactSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ArtifactSummary', artifactSummary_creationTime - When the artifact was created.

$sel:lastModifiedTime:ArtifactSummary', artifactSummary_lastModifiedTime - When the artifact was last modified.

$sel:artifactName:ArtifactSummary', artifactSummary_artifactName - The name of the artifact.

$sel:source:ArtifactSummary', artifactSummary_source - The source of the artifact.

$sel:artifactArn:ArtifactSummary', artifactSummary_artifactArn - The Amazon Resource Name (ARN) of the artifact.

$sel:artifactType:ArtifactSummary', artifactSummary_artifactType - The type of the artifact.

artifactSummary_creationTime :: Lens' ArtifactSummary (Maybe UTCTime) Source #

When the artifact was created.

artifactSummary_lastModifiedTime :: Lens' ArtifactSummary (Maybe UTCTime) Source #

When the artifact was last modified.

artifactSummary_artifactName :: Lens' ArtifactSummary (Maybe Text) Source #

The name of the artifact.

artifactSummary_source :: Lens' ArtifactSummary (Maybe ArtifactSource) Source #

The source of the artifact.

artifactSummary_artifactArn :: Lens' ArtifactSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the artifact.

artifactSummary_artifactType :: Lens' ArtifactSummary (Maybe Text) Source #

The type of the artifact.

AssociationSummary

data AssociationSummary Source #

Lists a summary of the properties of an association. An association is an entity that links other lineage or experiment entities. An example would be an association between a training job and a model.

See: newAssociationSummary smart constructor.

Constructors

AssociationSummary'

Fields

creationTime :: Maybe POSIX
When the association was created.
sourceName :: Maybe Text
The name of the source.
sourceType :: Maybe Text
The source type.
sourceArn :: Maybe Text
The ARN of the source.
createdBy :: Maybe UserContext
associationType :: Maybe AssociationEdgeType
The type of the association.
destinationArn :: Maybe Text
The Amazon Resource Name (ARN) of the destination.
destinationType :: Maybe Text
The destination type.
destinationName :: Maybe Text
The name of the destination.

Instances

Instances details

Eq AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Methods (==) :: AssociationSummary -> AssociationSummary -> Bool # (/=) :: AssociationSummary -> AssociationSummary -> Bool #
Read AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Methods readsPrec :: Int -> ReadS AssociationSummary # readList :: ReadS [AssociationSummary] # readPrec :: ReadPrec AssociationSummary # readListPrec :: ReadPrec [AssociationSummary] #
Show AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Methods showsPrec :: Int -> AssociationSummary -> ShowS # show :: AssociationSummary -> String # showList :: [AssociationSummary] -> ShowS #
Generic AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Associated Types type Rep AssociationSummary :: Type -> Type # Methods from :: AssociationSummary -> Rep AssociationSummary x # to :: Rep AssociationSummary x -> AssociationSummary #
NFData AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Methods rnf :: AssociationSummary -> () #
Hashable AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Methods hashWithSalt :: Int -> AssociationSummary -> Int # hash :: AssociationSummary -> Int #
FromJSON AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary Methods parseJSON :: Value -> Parser AssociationSummary # parseJSONList :: Value -> Parser [AssociationSummary] #
type Rep AssociationSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AssociationSummary type Rep AssociationSummary = D1 ('MetaData "AssociationSummary" "Amazonka.SageMaker.Types.AssociationSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AssociationSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "sourceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: S1 ('MetaSel ('Just "associationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AssociationEdgeType))) :: (S1 ('MetaSel ('Just "destinationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "destinationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "destinationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newAssociationSummary :: AssociationSummary Source #

Create a value of AssociationSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:AssociationSummary', associationSummary_creationTime - When the association was created.

$sel:sourceName:AssociationSummary', associationSummary_sourceName - The name of the source.

$sel:sourceType:AssociationSummary', associationSummary_sourceType - The source type.

$sel:sourceArn:AssociationSummary', associationSummary_sourceArn - The ARN of the source.

$sel:createdBy:AssociationSummary', associationSummary_createdBy - Undocumented member.

$sel:associationType:AssociationSummary', associationSummary_associationType - The type of the association.

$sel:destinationArn:AssociationSummary', associationSummary_destinationArn - The Amazon Resource Name (ARN) of the destination.

$sel:destinationType:AssociationSummary', associationSummary_destinationType - The destination type.

$sel:destinationName:AssociationSummary', associationSummary_destinationName - The name of the destination.

associationSummary_creationTime :: Lens' AssociationSummary (Maybe UTCTime) Source #

When the association was created.

associationSummary_sourceName :: Lens' AssociationSummary (Maybe Text) Source #

The name of the source.

associationSummary_sourceType :: Lens' AssociationSummary (Maybe Text) Source #

The source type.

associationSummary_sourceArn :: Lens' AssociationSummary (Maybe Text) Source #

The ARN of the source.

associationSummary_createdBy :: Lens' AssociationSummary (Maybe UserContext) Source #

Undocumented member.

associationSummary_associationType :: Lens' AssociationSummary (Maybe AssociationEdgeType) Source #

The type of the association.

associationSummary_destinationArn :: Lens' AssociationSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the destination.

associationSummary_destinationType :: Lens' AssociationSummary (Maybe Text) Source #

The destination type.

associationSummary_destinationName :: Lens' AssociationSummary (Maybe Text) Source #

The name of the destination.

AsyncInferenceClientConfig

data AsyncInferenceClientConfig Source #

Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.

See: newAsyncInferenceClientConfig smart constructor.

Constructors

AsyncInferenceClientConfig'
Fields maxConcurrentInvocationsPerInstance :: Maybe Natural The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, Amazon SageMaker will choose an optimal value for you.

Instances

Instances details

Eq AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods (==) :: AsyncInferenceClientConfig -> AsyncInferenceClientConfig -> Bool # (/=) :: AsyncInferenceClientConfig -> AsyncInferenceClientConfig -> Bool #
Read AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods readsPrec :: Int -> ReadS AsyncInferenceClientConfig # readList :: ReadS [AsyncInferenceClientConfig] # readPrec :: ReadPrec AsyncInferenceClientConfig # readListPrec :: ReadPrec [AsyncInferenceClientConfig] #
Show AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods showsPrec :: Int -> AsyncInferenceClientConfig -> ShowS # show :: AsyncInferenceClientConfig -> String # showList :: [AsyncInferenceClientConfig] -> ShowS #
Generic AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Associated Types type Rep AsyncInferenceClientConfig :: Type -> Type # Methods from :: AsyncInferenceClientConfig -> Rep AsyncInferenceClientConfig x # to :: Rep AsyncInferenceClientConfig x -> AsyncInferenceClientConfig #
NFData AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods rnf :: AsyncInferenceClientConfig -> () #
Hashable AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods hashWithSalt :: Int -> AsyncInferenceClientConfig -> Int # hash :: AsyncInferenceClientConfig -> Int #
ToJSON AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods toJSON :: AsyncInferenceClientConfig -> Value # toEncoding :: AsyncInferenceClientConfig -> Encoding # toJSONList :: [AsyncInferenceClientConfig] -> Value # toEncodingList :: [AsyncInferenceClientConfig] -> Encoding #
FromJSON AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig Methods parseJSON :: Value -> Parser AsyncInferenceClientConfig # parseJSONList :: Value -> Parser [AsyncInferenceClientConfig] #
type Rep AsyncInferenceClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig type Rep AsyncInferenceClientConfig = D1 ('MetaData "AsyncInferenceClientConfig" "Amazonka.SageMaker.Types.AsyncInferenceClientConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AsyncInferenceClientConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxConcurrentInvocationsPerInstance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newAsyncInferenceClientConfig :: AsyncInferenceClientConfig Source #

Create a value of AsyncInferenceClientConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxConcurrentInvocationsPerInstance:AsyncInferenceClientConfig', asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance - The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, Amazon SageMaker will choose an optimal value for you.

asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance :: Lens' AsyncInferenceClientConfig (Maybe Natural) Source #

The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, Amazon SageMaker will choose an optimal value for you.

AsyncInferenceConfig

data AsyncInferenceConfig Source #

Specifies configuration for how an endpoint performs asynchronous inference.

See: newAsyncInferenceConfig smart constructor.

Constructors

AsyncInferenceConfig'
Fields clientConfig :: Maybe AsyncInferenceClientConfig Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference. outputConfig :: AsyncInferenceOutputConfig Specifies the configuration for asynchronous inference invocation outputs.

Instances

Instances details

Eq AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods (==) :: AsyncInferenceConfig -> AsyncInferenceConfig -> Bool # (/=) :: AsyncInferenceConfig -> AsyncInferenceConfig -> Bool #
Read AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods readsPrec :: Int -> ReadS AsyncInferenceConfig # readList :: ReadS [AsyncInferenceConfig] # readPrec :: ReadPrec AsyncInferenceConfig # readListPrec :: ReadPrec [AsyncInferenceConfig] #
Show AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods showsPrec :: Int -> AsyncInferenceConfig -> ShowS # show :: AsyncInferenceConfig -> String # showList :: [AsyncInferenceConfig] -> ShowS #
Generic AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Associated Types type Rep AsyncInferenceConfig :: Type -> Type # Methods from :: AsyncInferenceConfig -> Rep AsyncInferenceConfig x # to :: Rep AsyncInferenceConfig x -> AsyncInferenceConfig #
NFData AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods rnf :: AsyncInferenceConfig -> () #
Hashable AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods hashWithSalt :: Int -> AsyncInferenceConfig -> Int # hash :: AsyncInferenceConfig -> Int #
ToJSON AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods toJSON :: AsyncInferenceConfig -> Value # toEncoding :: AsyncInferenceConfig -> Encoding # toJSONList :: [AsyncInferenceConfig] -> Value # toEncodingList :: [AsyncInferenceConfig] -> Encoding #
FromJSON AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig Methods parseJSON :: Value -> Parser AsyncInferenceConfig # parseJSONList :: Value -> Parser [AsyncInferenceConfig] #
type Rep AsyncInferenceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig type Rep AsyncInferenceConfig = D1 ('MetaData "AsyncInferenceConfig" "Amazonka.SageMaker.Types.AsyncInferenceConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AsyncInferenceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clientConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AsyncInferenceClientConfig)) :*: S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AsyncInferenceOutputConfig)))

newAsyncInferenceConfig Source #

Arguments

:: AsyncInferenceOutputConfig	`$sel:outputConfig:AsyncInferenceConfig'`
-> AsyncInferenceConfig

Create a value of AsyncInferenceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientConfig:AsyncInferenceConfig', asyncInferenceConfig_clientConfig - Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.

$sel:outputConfig:AsyncInferenceConfig', asyncInferenceConfig_outputConfig - Specifies the configuration for asynchronous inference invocation outputs.

asyncInferenceConfig_clientConfig :: Lens' AsyncInferenceConfig (Maybe AsyncInferenceClientConfig) Source #

Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.

asyncInferenceConfig_outputConfig :: Lens' AsyncInferenceConfig AsyncInferenceOutputConfig Source #

Specifies the configuration for asynchronous inference invocation outputs.

AsyncInferenceNotificationConfig

data AsyncInferenceNotificationConfig Source #

Specifies the configuration for notifications of inference results for asynchronous inference.

See: newAsyncInferenceNotificationConfig smart constructor.

Constructors

AsyncInferenceNotificationConfig'
Fields errorTopic :: Maybe Text Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure. successTopic :: Maybe Text Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.

Instances

Instances details

Eq AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods (==) :: AsyncInferenceNotificationConfig -> AsyncInferenceNotificationConfig -> Bool # (/=) :: AsyncInferenceNotificationConfig -> AsyncInferenceNotificationConfig -> Bool #
Read AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods readsPrec :: Int -> ReadS AsyncInferenceNotificationConfig # readList :: ReadS [AsyncInferenceNotificationConfig] # readPrec :: ReadPrec AsyncInferenceNotificationConfig # readListPrec :: ReadPrec [AsyncInferenceNotificationConfig] #
Show AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods showsPrec :: Int -> AsyncInferenceNotificationConfig -> ShowS # show :: AsyncInferenceNotificationConfig -> String # showList :: [AsyncInferenceNotificationConfig] -> ShowS #
Generic AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Associated Types type Rep AsyncInferenceNotificationConfig :: Type -> Type # Methods from :: AsyncInferenceNotificationConfig -> Rep AsyncInferenceNotificationConfig x # to :: Rep AsyncInferenceNotificationConfig x -> AsyncInferenceNotificationConfig #
NFData AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods rnf :: AsyncInferenceNotificationConfig -> () #
Hashable AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods hashWithSalt :: Int -> AsyncInferenceNotificationConfig -> Int # hash :: AsyncInferenceNotificationConfig -> Int #
ToJSON AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods toJSON :: AsyncInferenceNotificationConfig -> Value # toEncoding :: AsyncInferenceNotificationConfig -> Encoding # toJSONList :: [AsyncInferenceNotificationConfig] -> Value # toEncodingList :: [AsyncInferenceNotificationConfig] -> Encoding #
FromJSON AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig Methods parseJSON :: Value -> Parser AsyncInferenceNotificationConfig # parseJSONList :: Value -> Parser [AsyncInferenceNotificationConfig] #
type Rep AsyncInferenceNotificationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig type Rep AsyncInferenceNotificationConfig = D1 ('MetaData "AsyncInferenceNotificationConfig" "Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AsyncInferenceNotificationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "errorTopic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "successTopic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAsyncInferenceNotificationConfig :: AsyncInferenceNotificationConfig Source #

Create a value of AsyncInferenceNotificationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:errorTopic:AsyncInferenceNotificationConfig', asyncInferenceNotificationConfig_errorTopic - Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.

$sel:successTopic:AsyncInferenceNotificationConfig', asyncInferenceNotificationConfig_successTopic - Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.

asyncInferenceNotificationConfig_errorTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text) Source #

Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.

asyncInferenceNotificationConfig_successTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text) Source #

Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.

AsyncInferenceOutputConfig

data AsyncInferenceOutputConfig Source #

Specifies the configuration for asynchronous inference invocation outputs.

See: newAsyncInferenceOutputConfig smart constructor.

Constructors

AsyncInferenceOutputConfig'

Fields

notificationConfig :: Maybe AsyncInferenceNotificationConfig
Specifies the configuration for notifications of inference results for asynchronous inference.
kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
s3OutputPath :: Text
The Amazon S3 location to upload inference responses to.

Instances

Instances details

Eq AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods (==) :: AsyncInferenceOutputConfig -> AsyncInferenceOutputConfig -> Bool # (/=) :: AsyncInferenceOutputConfig -> AsyncInferenceOutputConfig -> Bool #
Read AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods readsPrec :: Int -> ReadS AsyncInferenceOutputConfig # readList :: ReadS [AsyncInferenceOutputConfig] # readPrec :: ReadPrec AsyncInferenceOutputConfig # readListPrec :: ReadPrec [AsyncInferenceOutputConfig] #
Show AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods showsPrec :: Int -> AsyncInferenceOutputConfig -> ShowS # show :: AsyncInferenceOutputConfig -> String # showList :: [AsyncInferenceOutputConfig] -> ShowS #
Generic AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Associated Types type Rep AsyncInferenceOutputConfig :: Type -> Type # Methods from :: AsyncInferenceOutputConfig -> Rep AsyncInferenceOutputConfig x # to :: Rep AsyncInferenceOutputConfig x -> AsyncInferenceOutputConfig #
NFData AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods rnf :: AsyncInferenceOutputConfig -> () #
Hashable AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods hashWithSalt :: Int -> AsyncInferenceOutputConfig -> Int # hash :: AsyncInferenceOutputConfig -> Int #
ToJSON AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods toJSON :: AsyncInferenceOutputConfig -> Value # toEncoding :: AsyncInferenceOutputConfig -> Encoding # toJSONList :: [AsyncInferenceOutputConfig] -> Value # toEncodingList :: [AsyncInferenceOutputConfig] -> Encoding #
FromJSON AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig Methods parseJSON :: Value -> Parser AsyncInferenceOutputConfig # parseJSONList :: Value -> Parser [AsyncInferenceOutputConfig] #
type Rep AsyncInferenceOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig type Rep AsyncInferenceOutputConfig = D1 ('MetaData "AsyncInferenceOutputConfig" "Amazonka.SageMaker.Types.AsyncInferenceOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AsyncInferenceOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "notificationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AsyncInferenceNotificationConfig)) :: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAsyncInferenceOutputConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:AsyncInferenceOutputConfig'`
-> AsyncInferenceOutputConfig

Create a value of AsyncInferenceOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:notificationConfig:AsyncInferenceOutputConfig', asyncInferenceOutputConfig_notificationConfig - Specifies the configuration for notifications of inference results for asynchronous inference.

$sel:kmsKeyId:AsyncInferenceOutputConfig', asyncInferenceOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the asynchronous inference output in Amazon S3.

$sel:s3OutputPath:AsyncInferenceOutputConfig', asyncInferenceOutputConfig_s3OutputPath - The Amazon S3 location to upload inference responses to.

asyncInferenceOutputConfig_notificationConfig :: Lens' AsyncInferenceOutputConfig (Maybe AsyncInferenceNotificationConfig) Source #

Specifies the configuration for notifications of inference results for asynchronous inference.

asyncInferenceOutputConfig_kmsKeyId :: Lens' AsyncInferenceOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the asynchronous inference output in Amazon S3.

asyncInferenceOutputConfig_s3OutputPath :: Lens' AsyncInferenceOutputConfig Text Source #

The Amazon S3 location to upload inference responses to.

AthenaDatasetDefinition

data AthenaDatasetDefinition Source #

Configuration for Athena Dataset Definition input.

See: newAthenaDatasetDefinition smart constructor.

Constructors

AthenaDatasetDefinition'

Fields

kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.
workGroup :: Maybe Text
outputCompression :: Maybe AthenaResultCompressionType
catalog :: Text
database :: Text
queryString :: Text
outputS3Uri :: Text
The location in Amazon S3 where Athena query results are stored.
outputFormat :: AthenaResultFormat

Instances

Instances details

Eq AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods (==) :: AthenaDatasetDefinition -> AthenaDatasetDefinition -> Bool # (/=) :: AthenaDatasetDefinition -> AthenaDatasetDefinition -> Bool #
Read AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods readsPrec :: Int -> ReadS AthenaDatasetDefinition # readList :: ReadS [AthenaDatasetDefinition] # readPrec :: ReadPrec AthenaDatasetDefinition # readListPrec :: ReadPrec [AthenaDatasetDefinition] #
Show AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods showsPrec :: Int -> AthenaDatasetDefinition -> ShowS # show :: AthenaDatasetDefinition -> String # showList :: [AthenaDatasetDefinition] -> ShowS #
Generic AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Associated Types type Rep AthenaDatasetDefinition :: Type -> Type # Methods from :: AthenaDatasetDefinition -> Rep AthenaDatasetDefinition x # to :: Rep AthenaDatasetDefinition x -> AthenaDatasetDefinition #
NFData AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods rnf :: AthenaDatasetDefinition -> () #
Hashable AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods hashWithSalt :: Int -> AthenaDatasetDefinition -> Int # hash :: AthenaDatasetDefinition -> Int #
ToJSON AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods toJSON :: AthenaDatasetDefinition -> Value # toEncoding :: AthenaDatasetDefinition -> Encoding # toJSONList :: [AthenaDatasetDefinition] -> Value # toEncodingList :: [AthenaDatasetDefinition] -> Encoding #
FromJSON AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition Methods parseJSON :: Value -> Parser AthenaDatasetDefinition # parseJSONList :: Value -> Parser [AthenaDatasetDefinition] #
type Rep AthenaDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition type Rep AthenaDatasetDefinition = D1 ('MetaData "AthenaDatasetDefinition" "Amazonka.SageMaker.Types.AthenaDatasetDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AthenaDatasetDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "workGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "outputCompression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AthenaResultCompressionType)) :: S1 ('MetaSel ('Just "catalog") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "database") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "queryString") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "outputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "outputFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AthenaResultFormat)))))

newAthenaDatasetDefinition Source #

Arguments

:: Text	`$sel:catalog:AthenaDatasetDefinition'`
-> Text	`$sel:database:AthenaDatasetDefinition'`
-> Text	`$sel:queryString:AthenaDatasetDefinition'`
-> Text	`$sel:outputS3Uri:AthenaDatasetDefinition'`
-> AthenaResultFormat	`$sel:outputFormat:AthenaDatasetDefinition'`
-> AthenaDatasetDefinition

Create a value of AthenaDatasetDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:AthenaDatasetDefinition', athenaDatasetDefinition_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.

$sel:workGroup:AthenaDatasetDefinition', athenaDatasetDefinition_workGroup - Undocumented member.

$sel:outputCompression:AthenaDatasetDefinition', athenaDatasetDefinition_outputCompression - Undocumented member.

$sel:catalog:AthenaDatasetDefinition', athenaDatasetDefinition_catalog - Undocumented member.

$sel:database:AthenaDatasetDefinition', athenaDatasetDefinition_database - Undocumented member.

$sel:queryString:AthenaDatasetDefinition', athenaDatasetDefinition_queryString - Undocumented member.

$sel:outputS3Uri:AthenaDatasetDefinition', athenaDatasetDefinition_outputS3Uri - The location in Amazon S3 where Athena query results are stored.

$sel:outputFormat:AthenaDatasetDefinition', athenaDatasetDefinition_outputFormat - Undocumented member.

athenaDatasetDefinition_kmsKeyId :: Lens' AthenaDatasetDefinition (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.

athenaDatasetDefinition_workGroup :: Lens' AthenaDatasetDefinition (Maybe Text) Source #

Undocumented member.

athenaDatasetDefinition_outputCompression :: Lens' AthenaDatasetDefinition (Maybe AthenaResultCompressionType) Source #

Undocumented member.

athenaDatasetDefinition_catalog :: Lens' AthenaDatasetDefinition Text Source #

Undocumented member.

athenaDatasetDefinition_database :: Lens' AthenaDatasetDefinition Text Source #

Undocumented member.

athenaDatasetDefinition_queryString :: Lens' AthenaDatasetDefinition Text Source #

Undocumented member.

athenaDatasetDefinition_outputS3Uri :: Lens' AthenaDatasetDefinition Text Source #

The location in Amazon S3 where Athena query results are stored.

athenaDatasetDefinition_outputFormat :: Lens' AthenaDatasetDefinition AthenaResultFormat Source #

Undocumented member.

AutoMLCandidate

data AutoMLCandidate Source #

Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.

See: newAutoMLCandidate smart constructor.

Constructors

AutoMLCandidate'

Fields

failureReason :: Maybe Text
The failure reason.
inferenceContainers :: Maybe [AutoMLContainerDefinition]
Information about the inference container definitions.
candidateProperties :: Maybe CandidateProperties
The properties of an AutoML candidate job.
endTime :: Maybe POSIX
The end time.
finalAutoMLJobObjectiveMetric :: Maybe FinalAutoMLJobObjectiveMetric
candidateName :: Text
The name of the candidate.
objectiveStatus :: ObjectiveStatus
The objective's status.
candidateSteps :: [AutoMLCandidateStep]
Information about the candidate's steps.
candidateStatus :: CandidateStatus
The candidate's status.
creationTime :: POSIX
The creation time.
lastModifiedTime :: POSIX
The last modified time.

Instances

Instances details

Eq AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Methods (==) :: AutoMLCandidate -> AutoMLCandidate -> Bool # (/=) :: AutoMLCandidate -> AutoMLCandidate -> Bool #
Read AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Methods readsPrec :: Int -> ReadS AutoMLCandidate # readList :: ReadS [AutoMLCandidate] # readPrec :: ReadPrec AutoMLCandidate # readListPrec :: ReadPrec [AutoMLCandidate] #
Show AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Methods showsPrec :: Int -> AutoMLCandidate -> ShowS # show :: AutoMLCandidate -> String # showList :: [AutoMLCandidate] -> ShowS #
Generic AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Associated Types type Rep AutoMLCandidate :: Type -> Type # Methods from :: AutoMLCandidate -> Rep AutoMLCandidate x # to :: Rep AutoMLCandidate x -> AutoMLCandidate #
NFData AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Methods rnf :: AutoMLCandidate -> () #
Hashable AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Methods hashWithSalt :: Int -> AutoMLCandidate -> Int # hash :: AutoMLCandidate -> Int #
FromJSON AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate Methods parseJSON :: Value -> Parser AutoMLCandidate # parseJSONList :: Value -> Parser [AutoMLCandidate] #
type Rep AutoMLCandidate Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidate type Rep AutoMLCandidate = D1 ('MetaData "AutoMLCandidate" "Amazonka.SageMaker.Types.AutoMLCandidate" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLCandidate'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "inferenceContainers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AutoMLContainerDefinition]))) :: (S1 ('MetaSel ('Just "candidateProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CandidateProperties)) :: (S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "finalAutoMLJobObjectiveMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FinalAutoMLJobObjectiveMetric))))) :: ((S1 ('MetaSel ('Just "candidateName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "objectiveStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ObjectiveStatus) :: S1 ('MetaSel ('Just "candidateSteps") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [AutoMLCandidateStep]))) :: (S1 ('MetaSel ('Just "candidateStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CandidateStatus) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newAutoMLCandidate Source #

Arguments

:: Text	`$sel:candidateName:AutoMLCandidate'`
-> ObjectiveStatus	`$sel:objectiveStatus:AutoMLCandidate'`
-> CandidateStatus	`$sel:candidateStatus:AutoMLCandidate'`
-> UTCTime	`$sel:creationTime:AutoMLCandidate'`
-> UTCTime	`$sel:lastModifiedTime:AutoMLCandidate'`
-> AutoMLCandidate

Create a value of AutoMLCandidate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:AutoMLCandidate', autoMLCandidate_failureReason - The failure reason.

$sel:inferenceContainers:AutoMLCandidate', autoMLCandidate_inferenceContainers - Information about the inference container definitions.

$sel:candidateProperties:AutoMLCandidate', autoMLCandidate_candidateProperties - The properties of an AutoML candidate job.

$sel:endTime:AutoMLCandidate', autoMLCandidate_endTime - The end time.

$sel:finalAutoMLJobObjectiveMetric:AutoMLCandidate', autoMLCandidate_finalAutoMLJobObjectiveMetric - Undocumented member.

$sel:candidateName:AutoMLCandidate', autoMLCandidate_candidateName - The name of the candidate.

$sel:objectiveStatus:AutoMLCandidate', autoMLCandidate_objectiveStatus - The objective's status.

$sel:candidateSteps:AutoMLCandidate', autoMLCandidate_candidateSteps - Information about the candidate's steps.

$sel:candidateStatus:AutoMLCandidate', autoMLCandidate_candidateStatus - The candidate's status.

$sel:creationTime:AutoMLCandidate', autoMLCandidate_creationTime - The creation time.

$sel:lastModifiedTime:AutoMLCandidate', autoMLCandidate_lastModifiedTime - The last modified time.

autoMLCandidate_failureReason :: Lens' AutoMLCandidate (Maybe Text) Source #

The failure reason.

autoMLCandidate_inferenceContainers :: Lens' AutoMLCandidate (Maybe [AutoMLContainerDefinition]) Source #

Information about the inference container definitions.

autoMLCandidate_candidateProperties :: Lens' AutoMLCandidate (Maybe CandidateProperties) Source #

The properties of an AutoML candidate job.

autoMLCandidate_endTime :: Lens' AutoMLCandidate (Maybe UTCTime) Source #

The end time.

autoMLCandidate_finalAutoMLJobObjectiveMetric :: Lens' AutoMLCandidate (Maybe FinalAutoMLJobObjectiveMetric) Source #

Undocumented member.

autoMLCandidate_candidateName :: Lens' AutoMLCandidate Text Source #

The name of the candidate.

autoMLCandidate_objectiveStatus :: Lens' AutoMLCandidate ObjectiveStatus Source #

The objective's status.

autoMLCandidate_candidateSteps :: Lens' AutoMLCandidate [AutoMLCandidateStep] Source #

Information about the candidate's steps.

autoMLCandidate_candidateStatus :: Lens' AutoMLCandidate CandidateStatus Source #

The candidate's status.

autoMLCandidate_creationTime :: Lens' AutoMLCandidate UTCTime Source #

The creation time.

autoMLCandidate_lastModifiedTime :: Lens' AutoMLCandidate UTCTime Source #

The last modified time.

AutoMLCandidateStep

data AutoMLCandidateStep Source #

Information about the steps for a candidate and what step it is working on.

See: newAutoMLCandidateStep smart constructor.

Constructors

AutoMLCandidateStep'
Fields candidateStepType :: CandidateStepType Whether the candidate is at the transform, training, or processing step. candidateStepArn :: Text The ARN for the candidate's step. candidateStepName :: Text The name for the candidate's step.

Instances

Instances details

Eq AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Methods (==) :: AutoMLCandidateStep -> AutoMLCandidateStep -> Bool # (/=) :: AutoMLCandidateStep -> AutoMLCandidateStep -> Bool #
Read AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Methods readsPrec :: Int -> ReadS AutoMLCandidateStep # readList :: ReadS [AutoMLCandidateStep] # readPrec :: ReadPrec AutoMLCandidateStep # readListPrec :: ReadPrec [AutoMLCandidateStep] #
Show AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Methods showsPrec :: Int -> AutoMLCandidateStep -> ShowS # show :: AutoMLCandidateStep -> String # showList :: [AutoMLCandidateStep] -> ShowS #
Generic AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Associated Types type Rep AutoMLCandidateStep :: Type -> Type # Methods from :: AutoMLCandidateStep -> Rep AutoMLCandidateStep x # to :: Rep AutoMLCandidateStep x -> AutoMLCandidateStep #
NFData AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Methods rnf :: AutoMLCandidateStep -> () #
Hashable AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Methods hashWithSalt :: Int -> AutoMLCandidateStep -> Int # hash :: AutoMLCandidateStep -> Int #
FromJSON AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep Methods parseJSON :: Value -> Parser AutoMLCandidateStep # parseJSONList :: Value -> Parser [AutoMLCandidateStep] #
type Rep AutoMLCandidateStep Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep type Rep AutoMLCandidateStep = D1 ('MetaData "AutoMLCandidateStep" "Amazonka.SageMaker.Types.AutoMLCandidateStep" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLCandidateStep'" 'PrefixI 'True) (S1 ('MetaSel ('Just "candidateStepType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CandidateStepType) :: (S1 ('MetaSel ('Just "candidateStepArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "candidateStepName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAutoMLCandidateStep Source #

Arguments

:: CandidateStepType	`$sel:candidateStepType:AutoMLCandidateStep'`
-> Text	`$sel:candidateStepArn:AutoMLCandidateStep'`
-> Text	`$sel:candidateStepName:AutoMLCandidateStep'`
-> AutoMLCandidateStep

Create a value of AutoMLCandidateStep with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateStepType:AutoMLCandidateStep', autoMLCandidateStep_candidateStepType - Whether the candidate is at the transform, training, or processing step.

$sel:candidateStepArn:AutoMLCandidateStep', autoMLCandidateStep_candidateStepArn - The ARN for the candidate's step.

$sel:candidateStepName:AutoMLCandidateStep', autoMLCandidateStep_candidateStepName - The name for the candidate's step.

autoMLCandidateStep_candidateStepType :: Lens' AutoMLCandidateStep CandidateStepType Source #

Whether the candidate is at the transform, training, or processing step.

autoMLCandidateStep_candidateStepArn :: Lens' AutoMLCandidateStep Text Source #

The ARN for the candidate's step.

autoMLCandidateStep_candidateStepName :: Lens' AutoMLCandidateStep Text Source #

The name for the candidate's step.

AutoMLChannel

data AutoMLChannel Source #

A channel is a named input source that training algorithms can consume. For more information, see .

See: newAutoMLChannel smart constructor.

Constructors

AutoMLChannel'
Fields compressionType :: Maybe CompressionType You can use `Gzip` or `None`. The default value is `None`. dataSource :: AutoMLDataSource The data source for an AutoML channel. targetAttributeName :: Text The name of the target variable in supervised learning, usually represented by 'y'.

Instances

Instances details

Eq AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods (==) :: AutoMLChannel -> AutoMLChannel -> Bool # (/=) :: AutoMLChannel -> AutoMLChannel -> Bool #
Read AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods readsPrec :: Int -> ReadS AutoMLChannel # readList :: ReadS [AutoMLChannel] # readPrec :: ReadPrec AutoMLChannel # readListPrec :: ReadPrec [AutoMLChannel] #
Show AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods showsPrec :: Int -> AutoMLChannel -> ShowS # show :: AutoMLChannel -> String # showList :: [AutoMLChannel] -> ShowS #
Generic AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Associated Types type Rep AutoMLChannel :: Type -> Type # Methods from :: AutoMLChannel -> Rep AutoMLChannel x # to :: Rep AutoMLChannel x -> AutoMLChannel #
NFData AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods rnf :: AutoMLChannel -> () #
Hashable AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods hashWithSalt :: Int -> AutoMLChannel -> Int # hash :: AutoMLChannel -> Int #
ToJSON AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods toJSON :: AutoMLChannel -> Value # toEncoding :: AutoMLChannel -> Encoding # toJSONList :: [AutoMLChannel] -> Value # toEncodingList :: [AutoMLChannel] -> Encoding #
FromJSON AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel Methods parseJSON :: Value -> Parser AutoMLChannel # parseJSONList :: Value -> Parser [AutoMLChannel] #
type Rep AutoMLChannel Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLChannel type Rep AutoMLChannel = D1 ('MetaData "AutoMLChannel" "Amazonka.SageMaker.Types.AutoMLChannel" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLChannel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "compressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CompressionType)) :: (S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLDataSource) :: S1 ('MetaSel ('Just "targetAttributeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAutoMLChannel Source #

Arguments

:: AutoMLDataSource	`$sel:dataSource:AutoMLChannel'`
-> Text	`$sel:targetAttributeName:AutoMLChannel'`
-> AutoMLChannel

Create a value of AutoMLChannel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compressionType:AutoMLChannel', autoMLChannel_compressionType - You can use Gzip or None. The default value is None.

$sel:dataSource:AutoMLChannel', autoMLChannel_dataSource - The data source for an AutoML channel.

$sel:targetAttributeName:AutoMLChannel', autoMLChannel_targetAttributeName - The name of the target variable in supervised learning, usually represented by 'y'.

autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType) Source #

You can use Gzip or None. The default value is None.

autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource Source #

The data source for an AutoML channel.

autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text Source #

The name of the target variable in supervised learning, usually represented by 'y'.

AutoMLContainerDefinition

data AutoMLContainerDefinition Source #

A list of container definitions that describe the different containers that make up an AutoML candidate. For more information, see .

See: newAutoMLContainerDefinition smart constructor.

Constructors

AutoMLContainerDefinition'
Fields environment :: Maybe (HashMap Text Text) The environment variables to set in the container. For more information, see . image :: Text The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see . modelDataUrl :: Text The location of the model artifacts. For more information, see .

Instances

Instances details

Eq AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Methods (==) :: AutoMLContainerDefinition -> AutoMLContainerDefinition -> Bool # (/=) :: AutoMLContainerDefinition -> AutoMLContainerDefinition -> Bool #
Read AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Methods readsPrec :: Int -> ReadS AutoMLContainerDefinition # readList :: ReadS [AutoMLContainerDefinition] # readPrec :: ReadPrec AutoMLContainerDefinition # readListPrec :: ReadPrec [AutoMLContainerDefinition] #
Show AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Methods showsPrec :: Int -> AutoMLContainerDefinition -> ShowS # show :: AutoMLContainerDefinition -> String # showList :: [AutoMLContainerDefinition] -> ShowS #
Generic AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Associated Types type Rep AutoMLContainerDefinition :: Type -> Type # Methods from :: AutoMLContainerDefinition -> Rep AutoMLContainerDefinition x # to :: Rep AutoMLContainerDefinition x -> AutoMLContainerDefinition #
NFData AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Methods rnf :: AutoMLContainerDefinition -> () #
Hashable AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Methods hashWithSalt :: Int -> AutoMLContainerDefinition -> Int # hash :: AutoMLContainerDefinition -> Int #
FromJSON AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition Methods parseJSON :: Value -> Parser AutoMLContainerDefinition # parseJSONList :: Value -> Parser [AutoMLContainerDefinition] #
type Rep AutoMLContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition type Rep AutoMLContainerDefinition = D1 ('MetaData "AutoMLContainerDefinition" "Amazonka.SageMaker.Types.AutoMLContainerDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLContainerDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAutoMLContainerDefinition Source #

Arguments

:: Text	`$sel:image:AutoMLContainerDefinition'`
-> Text	`$sel:modelDataUrl:AutoMLContainerDefinition'`
-> AutoMLContainerDefinition

Create a value of AutoMLContainerDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:AutoMLContainerDefinition', autoMLContainerDefinition_environment - The environment variables to set in the container. For more information, see .

$sel:image:AutoMLContainerDefinition', autoMLContainerDefinition_image - The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see .

$sel:modelDataUrl:AutoMLContainerDefinition', autoMLContainerDefinition_modelDataUrl - The location of the model artifacts. For more information, see .

autoMLContainerDefinition_environment :: Lens' AutoMLContainerDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the container. For more information, see .

autoMLContainerDefinition_image :: Lens' AutoMLContainerDefinition Text Source #

The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see .

autoMLContainerDefinition_modelDataUrl :: Lens' AutoMLContainerDefinition Text Source #

The location of the model artifacts. For more information, see .

AutoMLDataSource

data AutoMLDataSource Source #

The data source for the Autopilot job.

See: newAutoMLDataSource smart constructor.

Constructors

AutoMLDataSource'
Fields s3DataSource :: AutoMLS3DataSource The Amazon S3 location of the input data. The input data must be in CSV format and contain at least 500 rows.

Instances

Instances details

Eq AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods (==) :: AutoMLDataSource -> AutoMLDataSource -> Bool # (/=) :: AutoMLDataSource -> AutoMLDataSource -> Bool #
Read AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods readsPrec :: Int -> ReadS AutoMLDataSource # readList :: ReadS [AutoMLDataSource] # readPrec :: ReadPrec AutoMLDataSource # readListPrec :: ReadPrec [AutoMLDataSource] #
Show AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods showsPrec :: Int -> AutoMLDataSource -> ShowS # show :: AutoMLDataSource -> String # showList :: [AutoMLDataSource] -> ShowS #
Generic AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Associated Types type Rep AutoMLDataSource :: Type -> Type # Methods from :: AutoMLDataSource -> Rep AutoMLDataSource x # to :: Rep AutoMLDataSource x -> AutoMLDataSource #
NFData AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods rnf :: AutoMLDataSource -> () #
Hashable AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods hashWithSalt :: Int -> AutoMLDataSource -> Int # hash :: AutoMLDataSource -> Int #
ToJSON AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods toJSON :: AutoMLDataSource -> Value # toEncoding :: AutoMLDataSource -> Encoding # toJSONList :: [AutoMLDataSource] -> Value # toEncodingList :: [AutoMLDataSource] -> Encoding #
FromJSON AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource Methods parseJSON :: Value -> Parser AutoMLDataSource # parseJSONList :: Value -> Parser [AutoMLDataSource] #
type Rep AutoMLDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLDataSource type Rep AutoMLDataSource = D1 ('MetaData "AutoMLDataSource" "Amazonka.SageMaker.Types.AutoMLDataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLS3DataSource)))

newAutoMLDataSource Source #

Arguments

:: AutoMLS3DataSource	`$sel:s3DataSource:AutoMLDataSource'`
-> AutoMLDataSource

Create a value of AutoMLDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:AutoMLDataSource', autoMLDataSource_s3DataSource - The Amazon S3 location of the input data.

The input data must be in CSV format and contain at least 500 rows.

autoMLDataSource_s3DataSource :: Lens' AutoMLDataSource AutoMLS3DataSource Source #

The Amazon S3 location of the input data.

The input data must be in CSV format and contain at least 500 rows.

AutoMLJobArtifacts

data AutoMLJobArtifacts Source #

The artifacts that are generated during an AutoML job.

See: newAutoMLJobArtifacts smart constructor.

Constructors

AutoMLJobArtifacts'
Fields candidateDefinitionNotebookLocation :: Maybe Text The URL of the notebook location. dataExplorationNotebookLocation :: Maybe Text The URL of the notebook location.

Instances

Instances details

Eq AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Methods (==) :: AutoMLJobArtifacts -> AutoMLJobArtifacts -> Bool # (/=) :: AutoMLJobArtifacts -> AutoMLJobArtifacts -> Bool #
Read AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Methods readsPrec :: Int -> ReadS AutoMLJobArtifacts # readList :: ReadS [AutoMLJobArtifacts] # readPrec :: ReadPrec AutoMLJobArtifacts # readListPrec :: ReadPrec [AutoMLJobArtifacts] #
Show AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Methods showsPrec :: Int -> AutoMLJobArtifacts -> ShowS # show :: AutoMLJobArtifacts -> String # showList :: [AutoMLJobArtifacts] -> ShowS #
Generic AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Associated Types type Rep AutoMLJobArtifacts :: Type -> Type # Methods from :: AutoMLJobArtifacts -> Rep AutoMLJobArtifacts x # to :: Rep AutoMLJobArtifacts x -> AutoMLJobArtifacts #
NFData AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Methods rnf :: AutoMLJobArtifacts -> () #
Hashable AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Methods hashWithSalt :: Int -> AutoMLJobArtifacts -> Int # hash :: AutoMLJobArtifacts -> Int #
FromJSON AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts Methods parseJSON :: Value -> Parser AutoMLJobArtifacts # parseJSONList :: Value -> Parser [AutoMLJobArtifacts] #
type Rep AutoMLJobArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts type Rep AutoMLJobArtifacts = D1 ('MetaData "AutoMLJobArtifacts" "Amazonka.SageMaker.Types.AutoMLJobArtifacts" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLJobArtifacts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "candidateDefinitionNotebookLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "dataExplorationNotebookLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLJobArtifacts :: AutoMLJobArtifacts Source #

Create a value of AutoMLJobArtifacts with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateDefinitionNotebookLocation:AutoMLJobArtifacts', autoMLJobArtifacts_candidateDefinitionNotebookLocation - The URL of the notebook location.

$sel:dataExplorationNotebookLocation:AutoMLJobArtifacts', autoMLJobArtifacts_dataExplorationNotebookLocation - The URL of the notebook location.

autoMLJobArtifacts_candidateDefinitionNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text) Source #

The URL of the notebook location.

autoMLJobArtifacts_dataExplorationNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text) Source #

The URL of the notebook location.

AutoMLJobCompletionCriteria

data AutoMLJobCompletionCriteria Source #

How long a job is allowed to run, or how many candidates a job is allowed to generate.

See: newAutoMLJobCompletionCriteria smart constructor.

Constructors

AutoMLJobCompletionCriteria'

Fields

maxCandidates :: Maybe Natural
The maximum number of times a training job is allowed to run.
maxRuntimePerTrainingJobInSeconds :: Maybe Natural
The maximum time, in seconds, that each training job is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.
maxAutoMLJobRuntimeInSeconds :: Maybe Natural
The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

Instances

Instances details

Eq AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods (==) :: AutoMLJobCompletionCriteria -> AutoMLJobCompletionCriteria -> Bool # (/=) :: AutoMLJobCompletionCriteria -> AutoMLJobCompletionCriteria -> Bool #
Read AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods readsPrec :: Int -> ReadS AutoMLJobCompletionCriteria # readList :: ReadS [AutoMLJobCompletionCriteria] # readPrec :: ReadPrec AutoMLJobCompletionCriteria # readListPrec :: ReadPrec [AutoMLJobCompletionCriteria] #
Show AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods showsPrec :: Int -> AutoMLJobCompletionCriteria -> ShowS # show :: AutoMLJobCompletionCriteria -> String # showList :: [AutoMLJobCompletionCriteria] -> ShowS #
Generic AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Associated Types type Rep AutoMLJobCompletionCriteria :: Type -> Type # Methods from :: AutoMLJobCompletionCriteria -> Rep AutoMLJobCompletionCriteria x # to :: Rep AutoMLJobCompletionCriteria x -> AutoMLJobCompletionCriteria #
NFData AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods rnf :: AutoMLJobCompletionCriteria -> () #
Hashable AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods hashWithSalt :: Int -> AutoMLJobCompletionCriteria -> Int # hash :: AutoMLJobCompletionCriteria -> Int #
ToJSON AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods toJSON :: AutoMLJobCompletionCriteria -> Value # toEncoding :: AutoMLJobCompletionCriteria -> Encoding # toJSONList :: [AutoMLJobCompletionCriteria] -> Value # toEncodingList :: [AutoMLJobCompletionCriteria] -> Encoding #
FromJSON AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods parseJSON :: Value -> Parser AutoMLJobCompletionCriteria # parseJSONList :: Value -> Parser [AutoMLJobCompletionCriteria] #
type Rep AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria type Rep AutoMLJobCompletionCriteria = D1 ('MetaData "AutoMLJobCompletionCriteria" "Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLJobCompletionCriteria'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxCandidates") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "maxRuntimePerTrainingJobInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "maxAutoMLJobRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newAutoMLJobCompletionCriteria :: AutoMLJobCompletionCriteria Source #

Create a value of AutoMLJobCompletionCriteria with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxCandidates:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxCandidates - The maximum number of times a training job is allowed to run.

$sel:maxRuntimePerTrainingJobInSeconds:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds - The maximum time, in seconds, that each training job is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

$sel:maxAutoMLJobRuntimeInSeconds:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds - The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

autoMLJobCompletionCriteria_maxCandidates :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum number of times a training job is allowed to run.

autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum time, in seconds, that each training job is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

AutoMLJobConfig

data AutoMLJobConfig Source #

A collection of settings used for an AutoML job.

See: newAutoMLJobConfig smart constructor.

Constructors

AutoMLJobConfig'
Fields securityConfig :: Maybe AutoMLSecurityConfig The security configuration for traffic encryption or Amazon VPC settings. completionCriteria :: Maybe AutoMLJobCompletionCriteria How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

Instances

Instances details

Eq AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods (==) :: AutoMLJobConfig -> AutoMLJobConfig -> Bool # (/=) :: AutoMLJobConfig -> AutoMLJobConfig -> Bool #
Read AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods readsPrec :: Int -> ReadS AutoMLJobConfig # readList :: ReadS [AutoMLJobConfig] # readPrec :: ReadPrec AutoMLJobConfig # readListPrec :: ReadPrec [AutoMLJobConfig] #
Show AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods showsPrec :: Int -> AutoMLJobConfig -> ShowS # show :: AutoMLJobConfig -> String # showList :: [AutoMLJobConfig] -> ShowS #
Generic AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Associated Types type Rep AutoMLJobConfig :: Type -> Type # Methods from :: AutoMLJobConfig -> Rep AutoMLJobConfig x # to :: Rep AutoMLJobConfig x -> AutoMLJobConfig #
NFData AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods rnf :: AutoMLJobConfig -> () #
Hashable AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods hashWithSalt :: Int -> AutoMLJobConfig -> Int # hash :: AutoMLJobConfig -> Int #
ToJSON AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods toJSON :: AutoMLJobConfig -> Value # toEncoding :: AutoMLJobConfig -> Encoding # toJSONList :: [AutoMLJobConfig] -> Value # toEncodingList :: [AutoMLJobConfig] -> Encoding #
FromJSON AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig Methods parseJSON :: Value -> Parser AutoMLJobConfig # parseJSONList :: Value -> Parser [AutoMLJobConfig] #
type Rep AutoMLJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobConfig type Rep AutoMLJobConfig = D1 ('MetaData "AutoMLJobConfig" "Amazonka.SageMaker.Types.AutoMLJobConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLJobConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLSecurityConfig)) :*: S1 ('MetaSel ('Just "completionCriteria") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobCompletionCriteria))))

newAutoMLJobConfig :: AutoMLJobConfig Source #

Create a value of AutoMLJobConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityConfig:AutoMLJobConfig', autoMLJobConfig_securityConfig - The security configuration for traffic encryption or Amazon VPC settings.

$sel:completionCriteria:AutoMLJobConfig', autoMLJobConfig_completionCriteria - How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

autoMLJobConfig_securityConfig :: Lens' AutoMLJobConfig (Maybe AutoMLSecurityConfig) Source #

The security configuration for traffic encryption or Amazon VPC settings.

autoMLJobConfig_completionCriteria :: Lens' AutoMLJobConfig (Maybe AutoMLJobCompletionCriteria) Source #

How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

AutoMLJobObjective

data AutoMLJobObjective Source #

Specifies a metric to minimize or maximize as the objective of a job.

See: newAutoMLJobObjective smart constructor.

Constructors

AutoMLJobObjective'

Fields

metricName :: AutoMLMetricEnum
The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.
Here are the options:
- MSE: The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive: the better a model is at predicting the actual values, the smaller the MSE value is. When the data contains outliers, they tend to dominate the MSE, which might cause subpar prediction performance.
- Accuracy: The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for binary and multiclass classification. It measures how close the predicted class values are to the actual values. Accuracy values vary between zero and one: one indicates perfect accuracy and zero indicates perfect inaccuracy.
- F1: The F1 score is the harmonic mean of the precision and recall. It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class and false when they do not. Precision is the ratio of the true positive predictions to all positive predictions (including the false positives) in a data set and measures the quality of the prediction when it predicts the positive class. Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances and measures how completely a model predicts the actual class members in a data set. The standard F1 score weighs precision and recall equally. But which metric is paramount typically depends on specific aspects of a problem. F1 scores vary between zero and one: one indicates the best possible performance and zero the worst.
- AUC: The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms such as logistic regression that return probabilities. A threshold is needed to map the probabilities into classifications. The relevant curve is the receiver operating characteristic curve that plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives but more false negatives. AUC is the area under this receiver operating characteristic curve and so provides an aggregated measure of the model performance across all possible classification thresholds. The AUC score can also be interpreted as the probability that a randomly selected positive data point is more likely to be predicted positive than a randomly selected negative example. AUC scores vary between zero and one: a score of one indicates perfect accuracy and a score of one half indicates that the prediction is not better than a random classifier. Values under one half predict less accurately than a random predictor. But such consistently bad predictors can simply be inverted to obtain better than random predictors.
- F1macro: The F1macro score applies F1 scoring to multiclass classification. In this context, you have multiple classes to predict. You just calculate the precision and recall for each class as you did for the positive class in binary classification. Then, use these values to calculate the F1 score for each class and average them to obtain the F1macro score. F1macro scores vary between zero and one: one indicates the best possible performance and zero the worst.
If you do not specify a metric explicitly, the default behavior is to automatically use:
- MSE: for regression.
- F1: for binary classification
- Accuracy: for multiclass classification.

Instances

Instances details

Eq AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods (==) :: AutoMLJobObjective -> AutoMLJobObjective -> Bool # (/=) :: AutoMLJobObjective -> AutoMLJobObjective -> Bool #
Read AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods readsPrec :: Int -> ReadS AutoMLJobObjective # readList :: ReadS [AutoMLJobObjective] # readPrec :: ReadPrec AutoMLJobObjective # readListPrec :: ReadPrec [AutoMLJobObjective] #
Show AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods showsPrec :: Int -> AutoMLJobObjective -> ShowS # show :: AutoMLJobObjective -> String # showList :: [AutoMLJobObjective] -> ShowS #
Generic AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Associated Types type Rep AutoMLJobObjective :: Type -> Type # Methods from :: AutoMLJobObjective -> Rep AutoMLJobObjective x # to :: Rep AutoMLJobObjective x -> AutoMLJobObjective #
NFData AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods rnf :: AutoMLJobObjective -> () #
Hashable AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods hashWithSalt :: Int -> AutoMLJobObjective -> Int # hash :: AutoMLJobObjective -> Int #
ToJSON AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods toJSON :: AutoMLJobObjective -> Value # toEncoding :: AutoMLJobObjective -> Encoding # toJSONList :: [AutoMLJobObjective] -> Value # toEncodingList :: [AutoMLJobObjective] -> Encoding #
FromJSON AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective Methods parseJSON :: Value -> Parser AutoMLJobObjective # parseJSONList :: Value -> Parser [AutoMLJobObjective] #
type Rep AutoMLJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobObjective type Rep AutoMLJobObjective = D1 ('MetaData "AutoMLJobObjective" "Amazonka.SageMaker.Types.AutoMLJobObjective" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLJobObjective'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLMetricEnum)))

newAutoMLJobObjective Source #

Arguments

:: AutoMLMetricEnum	`$sel:metricName:AutoMLJobObjective'`
-> AutoMLJobObjective

Create a value of AutoMLJobObjective with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:AutoMLJobObjective', autoMLJobObjective_metricName - The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.

Here are the options:

MSE: The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive: the better a model is at predicting the actual values, the smaller the MSE value is. When the data contains outliers, they tend to dominate the MSE, which might cause subpar prediction performance.
Accuracy: The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for binary and multiclass classification. It measures how close the predicted class values are to the actual values. Accuracy values vary between zero and one: one indicates perfect accuracy and zero indicates perfect inaccuracy.
F1: The F1 score is the harmonic mean of the precision and recall. It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class and false when they do not. Precision is the ratio of the true positive predictions to all positive predictions (including the false positives) in a data set and measures the quality of the prediction when it predicts the positive class. Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances and measures how completely a model predicts the actual class members in a data set. The standard F1 score weighs precision and recall equally. But which metric is paramount typically depends on specific aspects of a problem. F1 scores vary between zero and one: one indicates the best possible performance and zero the worst.
AUC: The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms such as logistic regression that return probabilities. A threshold is needed to map the probabilities into classifications. The relevant curve is the receiver operating characteristic curve that plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives but more false negatives. AUC is the area under this receiver operating characteristic curve and so provides an aggregated measure of the model performance across all possible classification thresholds. The AUC score can also be interpreted as the probability that a randomly selected positive data point is more likely to be predicted positive than a randomly selected negative example. AUC scores vary between zero and one: a score of one indicates perfect accuracy and a score of one half indicates that the prediction is not better than a random classifier. Values under one half predict less accurately than a random predictor. But such consistently bad predictors can simply be inverted to obtain better than random predictors.
F1macro: The F1macro score applies F1 scoring to multiclass classification. In this context, you have multiple classes to predict. You just calculate the precision and recall for each class as you did for the positive class in binary classification. Then, use these values to calculate the F1 score for each class and average them to obtain the F1macro score. F1macro scores vary between zero and one: one indicates the best possible performance and zero the worst.

If you do not specify a metric explicitly, the default behavior is to automatically use:

MSE: for regression.
F1: for binary classification
Accuracy: for multiclass classification.

autoMLJobObjective_metricName :: Lens' AutoMLJobObjective AutoMLMetricEnum Source #

The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.

Here are the options:

MSE: The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive: the better a model is at predicting the actual values, the smaller the MSE value is. When the data contains outliers, they tend to dominate the MSE, which might cause subpar prediction performance.
Accuracy: The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for binary and multiclass classification. It measures how close the predicted class values are to the actual values. Accuracy values vary between zero and one: one indicates perfect accuracy and zero indicates perfect inaccuracy.
F1: The F1 score is the harmonic mean of the precision and recall. It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class and false when they do not. Precision is the ratio of the true positive predictions to all positive predictions (including the false positives) in a data set and measures the quality of the prediction when it predicts the positive class. Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances and measures how completely a model predicts the actual class members in a data set. The standard F1 score weighs precision and recall equally. But which metric is paramount typically depends on specific aspects of a problem. F1 scores vary between zero and one: one indicates the best possible performance and zero the worst.
AUC: The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms such as logistic regression that return probabilities. A threshold is needed to map the probabilities into classifications. The relevant curve is the receiver operating characteristic curve that plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives but more false negatives. AUC is the area under this receiver operating characteristic curve and so provides an aggregated measure of the model performance across all possible classification thresholds. The AUC score can also be interpreted as the probability that a randomly selected positive data point is more likely to be predicted positive than a randomly selected negative example. AUC scores vary between zero and one: a score of one indicates perfect accuracy and a score of one half indicates that the prediction is not better than a random classifier. Values under one half predict less accurately than a random predictor. But such consistently bad predictors can simply be inverted to obtain better than random predictors.
F1macro: The F1macro score applies F1 scoring to multiclass classification. In this context, you have multiple classes to predict. You just calculate the precision and recall for each class as you did for the positive class in binary classification. Then, use these values to calculate the F1 score for each class and average them to obtain the F1macro score. F1macro scores vary between zero and one: one indicates the best possible performance and zero the worst.

If you do not specify a metric explicitly, the default behavior is to automatically use:

MSE: for regression.
F1: for binary classification
Accuracy: for multiclass classification.

AutoMLJobSummary

data AutoMLJobSummary Source #

Provides a summary about an AutoML job.

See: newAutoMLJobSummary smart constructor.

Constructors

AutoMLJobSummary'

Fields

failureReason :: Maybe Text
The failure reason of an AutoML job.
partialFailureReasons :: Maybe (NonEmpty AutoMLPartialFailureReason)
The list of reasons for partial failures within an AutoML job.
endTime :: Maybe POSIX
The end time of an AutoML job.
autoMLJobName :: Text
The name of the AutoML job you are requesting.
autoMLJobArn :: Text
The ARN of the AutoML job.
autoMLJobStatus :: AutoMLJobStatus
The status of the AutoML job.
autoMLJobSecondaryStatus :: AutoMLJobSecondaryStatus
The secondary status of the AutoML job.
creationTime :: POSIX
When the AutoML job was created.
lastModifiedTime :: POSIX
When the AutoML job was last modified.

Instances

Instances details

Eq AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Methods (==) :: AutoMLJobSummary -> AutoMLJobSummary -> Bool # (/=) :: AutoMLJobSummary -> AutoMLJobSummary -> Bool #
Read AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Methods readsPrec :: Int -> ReadS AutoMLJobSummary # readList :: ReadS [AutoMLJobSummary] # readPrec :: ReadPrec AutoMLJobSummary # readListPrec :: ReadPrec [AutoMLJobSummary] #
Show AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Methods showsPrec :: Int -> AutoMLJobSummary -> ShowS # show :: AutoMLJobSummary -> String # showList :: [AutoMLJobSummary] -> ShowS #
Generic AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Associated Types type Rep AutoMLJobSummary :: Type -> Type # Methods from :: AutoMLJobSummary -> Rep AutoMLJobSummary x # to :: Rep AutoMLJobSummary x -> AutoMLJobSummary #
NFData AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Methods rnf :: AutoMLJobSummary -> () #
Hashable AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Methods hashWithSalt :: Int -> AutoMLJobSummary -> Int # hash :: AutoMLJobSummary -> Int #
FromJSON AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary Methods parseJSON :: Value -> Parser AutoMLJobSummary # parseJSONList :: Value -> Parser [AutoMLJobSummary] #
type Rep AutoMLJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobSummary type Rep AutoMLJobSummary = D1 ('MetaData "AutoMLJobSummary" "Amazonka.SageMaker.Types.AutoMLJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "partialFailureReasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty AutoMLPartialFailureReason)))) :: (S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "autoMLJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "autoMLJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLJobStatus)) :: (S1 ('MetaSel ('Just "autoMLJobSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLJobSecondaryStatus) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newAutoMLJobSummary Source #

Arguments

:: Text	`$sel:autoMLJobName:AutoMLJobSummary'`
-> Text	`$sel:autoMLJobArn:AutoMLJobSummary'`
-> AutoMLJobStatus	`$sel:autoMLJobStatus:AutoMLJobSummary'`
-> AutoMLJobSecondaryStatus	`$sel:autoMLJobSecondaryStatus:AutoMLJobSummary'`
-> UTCTime	`$sel:creationTime:AutoMLJobSummary'`
-> UTCTime	`$sel:lastModifiedTime:AutoMLJobSummary'`
-> AutoMLJobSummary

Create a value of AutoMLJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:AutoMLJobSummary', autoMLJobSummary_failureReason - The failure reason of an AutoML job.

$sel:partialFailureReasons:AutoMLJobSummary', autoMLJobSummary_partialFailureReasons - The list of reasons for partial failures within an AutoML job.

$sel:endTime:AutoMLJobSummary', autoMLJobSummary_endTime - The end time of an AutoML job.

$sel:autoMLJobName:AutoMLJobSummary', autoMLJobSummary_autoMLJobName - The name of the AutoML job you are requesting.

$sel:autoMLJobArn:AutoMLJobSummary', autoMLJobSummary_autoMLJobArn - The ARN of the AutoML job.

$sel:autoMLJobStatus:AutoMLJobSummary', autoMLJobSummary_autoMLJobStatus - The status of the AutoML job.

$sel:autoMLJobSecondaryStatus:AutoMLJobSummary', autoMLJobSummary_autoMLJobSecondaryStatus - The secondary status of the AutoML job.

$sel:creationTime:AutoMLJobSummary', autoMLJobSummary_creationTime - When the AutoML job was created.

$sel:lastModifiedTime:AutoMLJobSummary', autoMLJobSummary_lastModifiedTime - When the AutoML job was last modified.

autoMLJobSummary_failureReason :: Lens' AutoMLJobSummary (Maybe Text) Source #

The failure reason of an AutoML job.

autoMLJobSummary_partialFailureReasons :: Lens' AutoMLJobSummary (Maybe (NonEmpty AutoMLPartialFailureReason)) Source #

The list of reasons for partial failures within an AutoML job.

autoMLJobSummary_endTime :: Lens' AutoMLJobSummary (Maybe UTCTime) Source #

The end time of an AutoML job.

autoMLJobSummary_autoMLJobName :: Lens' AutoMLJobSummary Text Source #

The name of the AutoML job you are requesting.

autoMLJobSummary_autoMLJobArn :: Lens' AutoMLJobSummary Text Source #

The ARN of the AutoML job.

autoMLJobSummary_autoMLJobStatus :: Lens' AutoMLJobSummary AutoMLJobStatus Source #

The status of the AutoML job.

autoMLJobSummary_autoMLJobSecondaryStatus :: Lens' AutoMLJobSummary AutoMLJobSecondaryStatus Source #

The secondary status of the AutoML job.

autoMLJobSummary_creationTime :: Lens' AutoMLJobSummary UTCTime Source #

When the AutoML job was created.

autoMLJobSummary_lastModifiedTime :: Lens' AutoMLJobSummary UTCTime Source #

When the AutoML job was last modified.

AutoMLOutputDataConfig

data AutoMLOutputDataConfig Source #

The output data configuration.

See: newAutoMLOutputDataConfig smart constructor.

Constructors

AutoMLOutputDataConfig'
Fields kmsKeyId :: Maybe Text The Amazon Web Services KMS encryption key ID. s3OutputPath :: Text The Amazon S3 output path. Must be 128 characters or less.

Instances

Instances details

Eq AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods (==) :: AutoMLOutputDataConfig -> AutoMLOutputDataConfig -> Bool # (/=) :: AutoMLOutputDataConfig -> AutoMLOutputDataConfig -> Bool #
Read AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods readsPrec :: Int -> ReadS AutoMLOutputDataConfig # readList :: ReadS [AutoMLOutputDataConfig] # readPrec :: ReadPrec AutoMLOutputDataConfig # readListPrec :: ReadPrec [AutoMLOutputDataConfig] #
Show AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods showsPrec :: Int -> AutoMLOutputDataConfig -> ShowS # show :: AutoMLOutputDataConfig -> String # showList :: [AutoMLOutputDataConfig] -> ShowS #
Generic AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Associated Types type Rep AutoMLOutputDataConfig :: Type -> Type # Methods from :: AutoMLOutputDataConfig -> Rep AutoMLOutputDataConfig x # to :: Rep AutoMLOutputDataConfig x -> AutoMLOutputDataConfig #
NFData AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods rnf :: AutoMLOutputDataConfig -> () #
Hashable AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods hashWithSalt :: Int -> AutoMLOutputDataConfig -> Int # hash :: AutoMLOutputDataConfig -> Int #
ToJSON AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods toJSON :: AutoMLOutputDataConfig -> Value # toEncoding :: AutoMLOutputDataConfig -> Encoding # toJSONList :: [AutoMLOutputDataConfig] -> Value # toEncodingList :: [AutoMLOutputDataConfig] -> Encoding #
FromJSON AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig Methods parseJSON :: Value -> Parser AutoMLOutputDataConfig # parseJSONList :: Value -> Parser [AutoMLOutputDataConfig] #
type Rep AutoMLOutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig type Rep AutoMLOutputDataConfig = D1 ('MetaData "AutoMLOutputDataConfig" "Amazonka.SageMaker.Types.AutoMLOutputDataConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLOutputDataConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAutoMLOutputDataConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:AutoMLOutputDataConfig'`
-> AutoMLOutputDataConfig

Create a value of AutoMLOutputDataConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:AutoMLOutputDataConfig', autoMLOutputDataConfig_kmsKeyId - The Amazon Web Services KMS encryption key ID.

$sel:s3OutputPath:AutoMLOutputDataConfig', autoMLOutputDataConfig_s3OutputPath - The Amazon S3 output path. Must be 128 characters or less.

autoMLOutputDataConfig_kmsKeyId :: Lens' AutoMLOutputDataConfig (Maybe Text) Source #

The Amazon Web Services KMS encryption key ID.

autoMLOutputDataConfig_s3OutputPath :: Lens' AutoMLOutputDataConfig Text Source #

The Amazon S3 output path. Must be 128 characters or less.

AutoMLPartialFailureReason

data AutoMLPartialFailureReason Source #

The reason for a partial failure of an AutoML job.

See: newAutoMLPartialFailureReason smart constructor.

Constructors

AutoMLPartialFailureReason'
Fields partialFailureMessage :: Maybe Text The message containing the reason for a partial failure of an AutoML job.

Instances

Instances details

Eq AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Methods (==) :: AutoMLPartialFailureReason -> AutoMLPartialFailureReason -> Bool # (/=) :: AutoMLPartialFailureReason -> AutoMLPartialFailureReason -> Bool #
Read AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Methods readsPrec :: Int -> ReadS AutoMLPartialFailureReason # readList :: ReadS [AutoMLPartialFailureReason] # readPrec :: ReadPrec AutoMLPartialFailureReason # readListPrec :: ReadPrec [AutoMLPartialFailureReason] #
Show AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Methods showsPrec :: Int -> AutoMLPartialFailureReason -> ShowS # show :: AutoMLPartialFailureReason -> String # showList :: [AutoMLPartialFailureReason] -> ShowS #
Generic AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Associated Types type Rep AutoMLPartialFailureReason :: Type -> Type # Methods from :: AutoMLPartialFailureReason -> Rep AutoMLPartialFailureReason x # to :: Rep AutoMLPartialFailureReason x -> AutoMLPartialFailureReason #
NFData AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Methods rnf :: AutoMLPartialFailureReason -> () #
Hashable AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Methods hashWithSalt :: Int -> AutoMLPartialFailureReason -> Int # hash :: AutoMLPartialFailureReason -> Int #
FromJSON AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason Methods parseJSON :: Value -> Parser AutoMLPartialFailureReason # parseJSONList :: Value -> Parser [AutoMLPartialFailureReason] #
type Rep AutoMLPartialFailureReason Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason type Rep AutoMLPartialFailureReason = D1 ('MetaData "AutoMLPartialFailureReason" "Amazonka.SageMaker.Types.AutoMLPartialFailureReason" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLPartialFailureReason'" 'PrefixI 'True) (S1 ('MetaSel ('Just "partialFailureMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLPartialFailureReason :: AutoMLPartialFailureReason Source #

Create a value of AutoMLPartialFailureReason with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:partialFailureMessage:AutoMLPartialFailureReason', autoMLPartialFailureReason_partialFailureMessage - The message containing the reason for a partial failure of an AutoML job.

autoMLPartialFailureReason_partialFailureMessage :: Lens' AutoMLPartialFailureReason (Maybe Text) Source #

The message containing the reason for a partial failure of an AutoML job.

AutoMLS3DataSource

data AutoMLS3DataSource Source #

The Amazon S3 data source.

See: newAutoMLS3DataSource smart constructor.

Constructors

AutoMLS3DataSource'
Fields s3DataType :: AutoMLS3DataType The data type. s3Uri :: Text The URL to the Amazon S3 data source.

Instances

Instances details

Eq AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods (==) :: AutoMLS3DataSource -> AutoMLS3DataSource -> Bool # (/=) :: AutoMLS3DataSource -> AutoMLS3DataSource -> Bool #
Read AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods readsPrec :: Int -> ReadS AutoMLS3DataSource # readList :: ReadS [AutoMLS3DataSource] # readPrec :: ReadPrec AutoMLS3DataSource # readListPrec :: ReadPrec [AutoMLS3DataSource] #
Show AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods showsPrec :: Int -> AutoMLS3DataSource -> ShowS # show :: AutoMLS3DataSource -> String # showList :: [AutoMLS3DataSource] -> ShowS #
Generic AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Associated Types type Rep AutoMLS3DataSource :: Type -> Type # Methods from :: AutoMLS3DataSource -> Rep AutoMLS3DataSource x # to :: Rep AutoMLS3DataSource x -> AutoMLS3DataSource #
NFData AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods rnf :: AutoMLS3DataSource -> () #
Hashable AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods hashWithSalt :: Int -> AutoMLS3DataSource -> Int # hash :: AutoMLS3DataSource -> Int #
ToJSON AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods toJSON :: AutoMLS3DataSource -> Value # toEncoding :: AutoMLS3DataSource -> Encoding # toJSONList :: [AutoMLS3DataSource] -> Value # toEncodingList :: [AutoMLS3DataSource] -> Encoding #
FromJSON AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource Methods parseJSON :: Value -> Parser AutoMLS3DataSource # parseJSONList :: Value -> Parser [AutoMLS3DataSource] #
type Rep AutoMLS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource type Rep AutoMLS3DataSource = D1 ('MetaData "AutoMLS3DataSource" "Amazonka.SageMaker.Types.AutoMLS3DataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLS3DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLS3DataType) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAutoMLS3DataSource Source #

Arguments

:: AutoMLS3DataType	`$sel:s3DataType:AutoMLS3DataSource'`
-> Text	`$sel:s3Uri:AutoMLS3DataSource'`
-> AutoMLS3DataSource

Create a value of AutoMLS3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataType:AutoMLS3DataSource', autoMLS3DataSource_s3DataType - The data type.

$sel:s3Uri:AutoMLS3DataSource', autoMLS3DataSource_s3Uri - The URL to the Amazon S3 data source.

autoMLS3DataSource_s3DataType :: Lens' AutoMLS3DataSource AutoMLS3DataType Source #

The data type.

autoMLS3DataSource_s3Uri :: Lens' AutoMLS3DataSource Text Source #

The URL to the Amazon S3 data source.

AutoMLSecurityConfig

data AutoMLSecurityConfig Source #

Security options.

See: newAutoMLSecurityConfig smart constructor.

Constructors

AutoMLSecurityConfig'
Fields vpcConfig :: Maybe VpcConfig The VPC configuration. volumeKmsKeyId :: Maybe Text The key used to encrypt stored data. enableInterContainerTrafficEncryption :: Maybe Bool Whether to use traffic encryption between the container layers.

Instances

Instances details

Eq AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods (==) :: AutoMLSecurityConfig -> AutoMLSecurityConfig -> Bool # (/=) :: AutoMLSecurityConfig -> AutoMLSecurityConfig -> Bool #
Read AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods readsPrec :: Int -> ReadS AutoMLSecurityConfig # readList :: ReadS [AutoMLSecurityConfig] # readPrec :: ReadPrec AutoMLSecurityConfig # readListPrec :: ReadPrec [AutoMLSecurityConfig] #
Show AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods showsPrec :: Int -> AutoMLSecurityConfig -> ShowS # show :: AutoMLSecurityConfig -> String # showList :: [AutoMLSecurityConfig] -> ShowS #
Generic AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Associated Types type Rep AutoMLSecurityConfig :: Type -> Type # Methods from :: AutoMLSecurityConfig -> Rep AutoMLSecurityConfig x # to :: Rep AutoMLSecurityConfig x -> AutoMLSecurityConfig #
NFData AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods rnf :: AutoMLSecurityConfig -> () #
Hashable AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods hashWithSalt :: Int -> AutoMLSecurityConfig -> Int # hash :: AutoMLSecurityConfig -> Int #
ToJSON AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods toJSON :: AutoMLSecurityConfig -> Value # toEncoding :: AutoMLSecurityConfig -> Encoding # toJSONList :: [AutoMLSecurityConfig] -> Value # toEncodingList :: [AutoMLSecurityConfig] -> Encoding #
FromJSON AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig Methods parseJSON :: Value -> Parser AutoMLSecurityConfig # parseJSONList :: Value -> Parser [AutoMLSecurityConfig] #
type Rep AutoMLSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig type Rep AutoMLSecurityConfig = D1 ('MetaData "AutoMLSecurityConfig" "Amazonka.SageMaker.Types.AutoMLSecurityConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoMLSecurityConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)) :: (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))))

newAutoMLSecurityConfig :: AutoMLSecurityConfig Source #

Create a value of AutoMLSecurityConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:vpcConfig:AutoMLSecurityConfig', autoMLSecurityConfig_vpcConfig - The VPC configuration.

$sel:volumeKmsKeyId:AutoMLSecurityConfig', autoMLSecurityConfig_volumeKmsKeyId - The key used to encrypt stored data.

$sel:enableInterContainerTrafficEncryption:AutoMLSecurityConfig', autoMLSecurityConfig_enableInterContainerTrafficEncryption - Whether to use traffic encryption between the container layers.

autoMLSecurityConfig_vpcConfig :: Lens' AutoMLSecurityConfig (Maybe VpcConfig) Source #

The VPC configuration.

autoMLSecurityConfig_volumeKmsKeyId :: Lens' AutoMLSecurityConfig (Maybe Text) Source #

The key used to encrypt stored data.

autoMLSecurityConfig_enableInterContainerTrafficEncryption :: Lens' AutoMLSecurityConfig (Maybe Bool) Source #

Whether to use traffic encryption between the container layers.

AutoRollbackConfig

data AutoRollbackConfig Source #

Currently, the AutoRollbackConfig API is not supported.

See: newAutoRollbackConfig smart constructor.

Constructors

AutoRollbackConfig'
Fields alarms :: Maybe (NonEmpty Alarm)

Instances

Instances details

Eq AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods (==) :: AutoRollbackConfig -> AutoRollbackConfig -> Bool # (/=) :: AutoRollbackConfig -> AutoRollbackConfig -> Bool #
Read AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods readsPrec :: Int -> ReadS AutoRollbackConfig # readList :: ReadS [AutoRollbackConfig] # readPrec :: ReadPrec AutoRollbackConfig # readListPrec :: ReadPrec [AutoRollbackConfig] #
Show AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods showsPrec :: Int -> AutoRollbackConfig -> ShowS # show :: AutoRollbackConfig -> String # showList :: [AutoRollbackConfig] -> ShowS #
Generic AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Associated Types type Rep AutoRollbackConfig :: Type -> Type # Methods from :: AutoRollbackConfig -> Rep AutoRollbackConfig x # to :: Rep AutoRollbackConfig x -> AutoRollbackConfig #
NFData AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods rnf :: AutoRollbackConfig -> () #
Hashable AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods hashWithSalt :: Int -> AutoRollbackConfig -> Int # hash :: AutoRollbackConfig -> Int #
ToJSON AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods toJSON :: AutoRollbackConfig -> Value # toEncoding :: AutoRollbackConfig -> Encoding # toJSONList :: [AutoRollbackConfig] -> Value # toEncodingList :: [AutoRollbackConfig] -> Encoding #
FromJSON AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig Methods parseJSON :: Value -> Parser AutoRollbackConfig # parseJSONList :: Value -> Parser [AutoRollbackConfig] #
type Rep AutoRollbackConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoRollbackConfig type Rep AutoRollbackConfig = D1 ('MetaData "AutoRollbackConfig" "Amazonka.SageMaker.Types.AutoRollbackConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "AutoRollbackConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "alarms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Alarm)))))

newAutoRollbackConfig :: AutoRollbackConfig Source #

Create a value of AutoRollbackConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:alarms:AutoRollbackConfig', autoRollbackConfig_alarms -

autoRollbackConfig_alarms :: Lens' AutoRollbackConfig (Maybe (NonEmpty Alarm)) Source #

Bias

data Bias Source #

Contains bias metrics for a model.

See: newBias smart constructor.

Constructors

Bias'
Fields report :: Maybe MetricsSource The bias report for a model

Instances

Instances details

Eq Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods (==) :: Bias -> Bias -> Bool # (/=) :: Bias -> Bias -> Bool #
Read Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods readsPrec :: Int -> ReadS Bias # readList :: ReadS [Bias] # readPrec :: ReadPrec Bias # readListPrec :: ReadPrec [Bias] #
Show Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods showsPrec :: Int -> Bias -> ShowS # show :: Bias -> String # showList :: [Bias] -> ShowS #
Generic Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Associated Types type Rep Bias :: Type -> Type # Methods from :: Bias -> Rep Bias x # to :: Rep Bias x -> Bias #
NFData Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods rnf :: Bias -> () #
Hashable Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods hashWithSalt :: Int -> Bias -> Int # hash :: Bias -> Int #
ToJSON Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods toJSON :: Bias -> Value # toEncoding :: Bias -> Encoding # toJSONList :: [Bias] -> Value # toEncodingList :: [Bias] -> Encoding #
FromJSON Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias Methods parseJSON :: Value -> Parser Bias # parseJSONList :: Value -> Parser [Bias] #
type Rep Bias Source #
Instance details Defined in Amazonka.SageMaker.Types.Bias type Rep Bias = D1 ('MetaData "Bias" "Amazonka.SageMaker.Types.Bias" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Bias'" 'PrefixI 'True) (S1 ('MetaSel ('Just "report") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newBias :: Bias Source #

Create a value of Bias with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:report:Bias', bias_report - The bias report for a model

bias_report :: Lens' Bias (Maybe MetricsSource) Source #

The bias report for a model

BlueGreenUpdatePolicy

data BlueGreenUpdatePolicy Source #

Currently, the BlueGreenUpdatePolicy API is not supported.

See: newBlueGreenUpdatePolicy smart constructor.

Constructors

BlueGreenUpdatePolicy'
Fields maximumExecutionTimeoutInSeconds :: Maybe Natural terminationWaitInSeconds :: Maybe Natural trafficRoutingConfiguration :: TrafficRoutingConfig

Instances

Instances details

Eq BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods (==) :: BlueGreenUpdatePolicy -> BlueGreenUpdatePolicy -> Bool # (/=) :: BlueGreenUpdatePolicy -> BlueGreenUpdatePolicy -> Bool #
Read BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods readsPrec :: Int -> ReadS BlueGreenUpdatePolicy # readList :: ReadS [BlueGreenUpdatePolicy] # readPrec :: ReadPrec BlueGreenUpdatePolicy # readListPrec :: ReadPrec [BlueGreenUpdatePolicy] #
Show BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods showsPrec :: Int -> BlueGreenUpdatePolicy -> ShowS # show :: BlueGreenUpdatePolicy -> String # showList :: [BlueGreenUpdatePolicy] -> ShowS #
Generic BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Associated Types type Rep BlueGreenUpdatePolicy :: Type -> Type # Methods from :: BlueGreenUpdatePolicy -> Rep BlueGreenUpdatePolicy x # to :: Rep BlueGreenUpdatePolicy x -> BlueGreenUpdatePolicy #
NFData BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods rnf :: BlueGreenUpdatePolicy -> () #
Hashable BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods hashWithSalt :: Int -> BlueGreenUpdatePolicy -> Int # hash :: BlueGreenUpdatePolicy -> Int #
ToJSON BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods toJSON :: BlueGreenUpdatePolicy -> Value # toEncoding :: BlueGreenUpdatePolicy -> Encoding # toJSONList :: [BlueGreenUpdatePolicy] -> Value # toEncodingList :: [BlueGreenUpdatePolicy] -> Encoding #
FromJSON BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy Methods parseJSON :: Value -> Parser BlueGreenUpdatePolicy # parseJSONList :: Value -> Parser [BlueGreenUpdatePolicy] #
type Rep BlueGreenUpdatePolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy type Rep BlueGreenUpdatePolicy = D1 ('MetaData "BlueGreenUpdatePolicy" "Amazonka.SageMaker.Types.BlueGreenUpdatePolicy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "BlueGreenUpdatePolicy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maximumExecutionTimeoutInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "terminationWaitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "trafficRoutingConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrafficRoutingConfig))))

newBlueGreenUpdatePolicy Source #

Arguments

:: TrafficRoutingConfig	`$sel:trafficRoutingConfiguration:BlueGreenUpdatePolicy'`
-> BlueGreenUpdatePolicy

Create a value of BlueGreenUpdatePolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maximumExecutionTimeoutInSeconds:BlueGreenUpdatePolicy', blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds -

$sel:terminationWaitInSeconds:BlueGreenUpdatePolicy', blueGreenUpdatePolicy_terminationWaitInSeconds -

$sel:trafficRoutingConfiguration:BlueGreenUpdatePolicy', blueGreenUpdatePolicy_trafficRoutingConfiguration -

blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural) Source #

blueGreenUpdatePolicy_terminationWaitInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural) Source #

blueGreenUpdatePolicy_trafficRoutingConfiguration :: Lens' BlueGreenUpdatePolicy TrafficRoutingConfig Source #

CacheHitResult

data CacheHitResult Source #

Details on the cache hit of a pipeline execution step.

See: newCacheHitResult smart constructor.

Constructors

CacheHitResult'
Fields sourcePipelineExecutionArn :: Maybe Text The Amazon Resource Name (ARN) of the pipeline execution.

Instances

Instances details

Eq CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Methods (==) :: CacheHitResult -> CacheHitResult -> Bool # (/=) :: CacheHitResult -> CacheHitResult -> Bool #
Read CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Methods readsPrec :: Int -> ReadS CacheHitResult # readList :: ReadS [CacheHitResult] # readPrec :: ReadPrec CacheHitResult # readListPrec :: ReadPrec [CacheHitResult] #
Show CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Methods showsPrec :: Int -> CacheHitResult -> ShowS # show :: CacheHitResult -> String # showList :: [CacheHitResult] -> ShowS #
Generic CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Associated Types type Rep CacheHitResult :: Type -> Type # Methods from :: CacheHitResult -> Rep CacheHitResult x # to :: Rep CacheHitResult x -> CacheHitResult #
NFData CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Methods rnf :: CacheHitResult -> () #
Hashable CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Methods hashWithSalt :: Int -> CacheHitResult -> Int # hash :: CacheHitResult -> Int #
FromJSON CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult Methods parseJSON :: Value -> Parser CacheHitResult # parseJSONList :: Value -> Parser [CacheHitResult] #
type Rep CacheHitResult Source #
Instance details Defined in Amazonka.SageMaker.Types.CacheHitResult type Rep CacheHitResult = D1 ('MetaData "CacheHitResult" "Amazonka.SageMaker.Types.CacheHitResult" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CacheHitResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourcePipelineExecutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newCacheHitResult :: CacheHitResult Source #

Create a value of CacheHitResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourcePipelineExecutionArn:CacheHitResult', cacheHitResult_sourcePipelineExecutionArn - The Amazon Resource Name (ARN) of the pipeline execution.

cacheHitResult_sourcePipelineExecutionArn :: Lens' CacheHitResult (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline execution.

CallbackStepMetadata

data CallbackStepMetadata Source #

Metadata about a callback step.

See: newCallbackStepMetadata smart constructor.

Constructors

CallbackStepMetadata'
Fields callbackToken :: Maybe Text The pipeline generated token from the Amazon SQS queue. outputParameters :: Maybe [OutputParameter] A list of the output parameters of the callback step. sqsQueueUrl :: Maybe Text The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.

Instances

Instances details

Eq CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Methods (==) :: CallbackStepMetadata -> CallbackStepMetadata -> Bool # (/=) :: CallbackStepMetadata -> CallbackStepMetadata -> Bool #
Read CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Methods readsPrec :: Int -> ReadS CallbackStepMetadata # readList :: ReadS [CallbackStepMetadata] # readPrec :: ReadPrec CallbackStepMetadata # readListPrec :: ReadPrec [CallbackStepMetadata] #
Show CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Methods showsPrec :: Int -> CallbackStepMetadata -> ShowS # show :: CallbackStepMetadata -> String # showList :: [CallbackStepMetadata] -> ShowS #
Generic CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Associated Types type Rep CallbackStepMetadata :: Type -> Type # Methods from :: CallbackStepMetadata -> Rep CallbackStepMetadata x # to :: Rep CallbackStepMetadata x -> CallbackStepMetadata #
NFData CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Methods rnf :: CallbackStepMetadata -> () #
Hashable CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Methods hashWithSalt :: Int -> CallbackStepMetadata -> Int # hash :: CallbackStepMetadata -> Int #
FromJSON CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata Methods parseJSON :: Value -> Parser CallbackStepMetadata # parseJSONList :: Value -> Parser [CallbackStepMetadata] #
type Rep CallbackStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.CallbackStepMetadata type Rep CallbackStepMetadata = D1 ('MetaData "CallbackStepMetadata" "Amazonka.SageMaker.Types.CallbackStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CallbackStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "callbackToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "outputParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [OutputParameter])) :: S1 ('MetaSel ('Just "sqsQueueUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newCallbackStepMetadata :: CallbackStepMetadata Source #

Create a value of CallbackStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:callbackToken:CallbackStepMetadata', callbackStepMetadata_callbackToken - The pipeline generated token from the Amazon SQS queue.

$sel:outputParameters:CallbackStepMetadata', callbackStepMetadata_outputParameters - A list of the output parameters of the callback step.

$sel:sqsQueueUrl:CallbackStepMetadata', callbackStepMetadata_sqsQueueUrl - The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.

callbackStepMetadata_callbackToken :: Lens' CallbackStepMetadata (Maybe Text) Source #

The pipeline generated token from the Amazon SQS queue.

callbackStepMetadata_outputParameters :: Lens' CallbackStepMetadata (Maybe [OutputParameter]) Source #

A list of the output parameters of the callback step.

callbackStepMetadata_sqsQueueUrl :: Lens' CallbackStepMetadata (Maybe Text) Source #

The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.

CandidateArtifactLocations

data CandidateArtifactLocations Source #

The location of artifacts for an AutoML candidate job.

See: newCandidateArtifactLocations smart constructor.

Constructors

CandidateArtifactLocations'
Fields explainability :: Text The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

Instances

Instances details

Eq CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Methods (==) :: CandidateArtifactLocations -> CandidateArtifactLocations -> Bool # (/=) :: CandidateArtifactLocations -> CandidateArtifactLocations -> Bool #
Read CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Methods readsPrec :: Int -> ReadS CandidateArtifactLocations # readList :: ReadS [CandidateArtifactLocations] # readPrec :: ReadPrec CandidateArtifactLocations # readListPrec :: ReadPrec [CandidateArtifactLocations] #
Show CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Methods showsPrec :: Int -> CandidateArtifactLocations -> ShowS # show :: CandidateArtifactLocations -> String # showList :: [CandidateArtifactLocations] -> ShowS #
Generic CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Associated Types type Rep CandidateArtifactLocations :: Type -> Type # Methods from :: CandidateArtifactLocations -> Rep CandidateArtifactLocations x # to :: Rep CandidateArtifactLocations x -> CandidateArtifactLocations #
NFData CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Methods rnf :: CandidateArtifactLocations -> () #
Hashable CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Methods hashWithSalt :: Int -> CandidateArtifactLocations -> Int # hash :: CandidateArtifactLocations -> Int #
FromJSON CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations Methods parseJSON :: Value -> Parser CandidateArtifactLocations # parseJSONList :: Value -> Parser [CandidateArtifactLocations] #
type Rep CandidateArtifactLocations Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations type Rep CandidateArtifactLocations = D1 ('MetaData "CandidateArtifactLocations" "Amazonka.SageMaker.Types.CandidateArtifactLocations" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CandidateArtifactLocations'" 'PrefixI 'True) (S1 ('MetaSel ('Just "explainability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCandidateArtifactLocations Source #

Arguments

:: Text	`$sel:explainability:CandidateArtifactLocations'`
-> CandidateArtifactLocations

Create a value of CandidateArtifactLocations with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:explainability:CandidateArtifactLocations', candidateArtifactLocations_explainability - The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

candidateArtifactLocations_explainability :: Lens' CandidateArtifactLocations Text Source #

The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

CandidateProperties

data CandidateProperties Source #

The properties of an AutoML candidate job.

See: newCandidateProperties smart constructor.

Constructors

CandidateProperties'
Fields candidateArtifactLocations :: Maybe CandidateArtifactLocations The Amazon S3 prefix to the artifacts generated for an AutoML candidate. candidateMetrics :: Maybe [MetricDatum] Information about the candidate metrics for an AutoML job.

Instances

Instances details

Eq CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Methods (==) :: CandidateProperties -> CandidateProperties -> Bool # (/=) :: CandidateProperties -> CandidateProperties -> Bool #
Read CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Methods readsPrec :: Int -> ReadS CandidateProperties # readList :: ReadS [CandidateProperties] # readPrec :: ReadPrec CandidateProperties # readListPrec :: ReadPrec [CandidateProperties] #
Show CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Methods showsPrec :: Int -> CandidateProperties -> ShowS # show :: CandidateProperties -> String # showList :: [CandidateProperties] -> ShowS #
Generic CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Associated Types type Rep CandidateProperties :: Type -> Type # Methods from :: CandidateProperties -> Rep CandidateProperties x # to :: Rep CandidateProperties x -> CandidateProperties #
NFData CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Methods rnf :: CandidateProperties -> () #
Hashable CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Methods hashWithSalt :: Int -> CandidateProperties -> Int # hash :: CandidateProperties -> Int #
FromJSON CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties Methods parseJSON :: Value -> Parser CandidateProperties # parseJSONList :: Value -> Parser [CandidateProperties] #
type Rep CandidateProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.CandidateProperties type Rep CandidateProperties = D1 ('MetaData "CandidateProperties" "Amazonka.SageMaker.Types.CandidateProperties" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CandidateProperties'" 'PrefixI 'True) (S1 ('MetaSel ('Just "candidateArtifactLocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CandidateArtifactLocations)) :*: S1 ('MetaSel ('Just "candidateMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDatum]))))

newCandidateProperties :: CandidateProperties Source #

Create a value of CandidateProperties with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateArtifactLocations:CandidateProperties', candidateProperties_candidateArtifactLocations - The Amazon S3 prefix to the artifacts generated for an AutoML candidate.

$sel:candidateMetrics:CandidateProperties', candidateProperties_candidateMetrics - Information about the candidate metrics for an AutoML job.

candidateProperties_candidateArtifactLocations :: Lens' CandidateProperties (Maybe CandidateArtifactLocations) Source #

The Amazon S3 prefix to the artifacts generated for an AutoML candidate.

candidateProperties_candidateMetrics :: Lens' CandidateProperties (Maybe [MetricDatum]) Source #

Information about the candidate metrics for an AutoML job.

CapacitySize

data CapacitySize Source #

Currently, the CapacitySize API is not supported.

See: newCapacitySize smart constructor.

Constructors

CapacitySize'
Fields type' :: CapacitySizeType This API is not supported. value :: Natural

Instances

Instances details

Eq CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods (==) :: CapacitySize -> CapacitySize -> Bool # (/=) :: CapacitySize -> CapacitySize -> Bool #
Read CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods readsPrec :: Int -> ReadS CapacitySize # readList :: ReadS [CapacitySize] # readPrec :: ReadPrec CapacitySize # readListPrec :: ReadPrec [CapacitySize] #
Show CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods showsPrec :: Int -> CapacitySize -> ShowS # show :: CapacitySize -> String # showList :: [CapacitySize] -> ShowS #
Generic CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Associated Types type Rep CapacitySize :: Type -> Type # Methods from :: CapacitySize -> Rep CapacitySize x # to :: Rep CapacitySize x -> CapacitySize #
NFData CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods rnf :: CapacitySize -> () #
Hashable CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods hashWithSalt :: Int -> CapacitySize -> Int # hash :: CapacitySize -> Int #
ToJSON CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods toJSON :: CapacitySize -> Value # toEncoding :: CapacitySize -> Encoding # toJSONList :: [CapacitySize] -> Value # toEncodingList :: [CapacitySize] -> Encoding #
FromJSON CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize Methods parseJSON :: Value -> Parser CapacitySize # parseJSONList :: Value -> Parser [CapacitySize] #
type Rep CapacitySize Source #
Instance details Defined in Amazonka.SageMaker.Types.CapacitySize type Rep CapacitySize = D1 ('MetaData "CapacitySize" "Amazonka.SageMaker.Types.CapacitySize" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CapacitySize'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CapacitySizeType) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newCapacitySize Source #

Arguments

:: CapacitySizeType	`$sel:type':CapacitySize'`
-> Natural	`$sel:value:CapacitySize'`
-> CapacitySize

Create a value of CapacitySize with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':CapacitySize', capacitySize_type - This API is not supported.

$sel:value:CapacitySize', capacitySize_value -

capacitySize_type :: Lens' CapacitySize CapacitySizeType Source #

This API is not supported.

capacitySize_value :: Lens' CapacitySize Natural Source #

CaptureContentTypeHeader

data CaptureContentTypeHeader Source #

See: newCaptureContentTypeHeader smart constructor.

Constructors

CaptureContentTypeHeader'
Fields csvContentTypes :: Maybe (NonEmpty Text) jsonContentTypes :: Maybe (NonEmpty Text)

Instances

Instances details

Eq CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods (==) :: CaptureContentTypeHeader -> CaptureContentTypeHeader -> Bool # (/=) :: CaptureContentTypeHeader -> CaptureContentTypeHeader -> Bool #
Read CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods readsPrec :: Int -> ReadS CaptureContentTypeHeader # readList :: ReadS [CaptureContentTypeHeader] # readPrec :: ReadPrec CaptureContentTypeHeader # readListPrec :: ReadPrec [CaptureContentTypeHeader] #
Show CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods showsPrec :: Int -> CaptureContentTypeHeader -> ShowS # show :: CaptureContentTypeHeader -> String # showList :: [CaptureContentTypeHeader] -> ShowS #
Generic CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Associated Types type Rep CaptureContentTypeHeader :: Type -> Type # Methods from :: CaptureContentTypeHeader -> Rep CaptureContentTypeHeader x # to :: Rep CaptureContentTypeHeader x -> CaptureContentTypeHeader #
NFData CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods rnf :: CaptureContentTypeHeader -> () #
Hashable CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods hashWithSalt :: Int -> CaptureContentTypeHeader -> Int # hash :: CaptureContentTypeHeader -> Int #
ToJSON CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods toJSON :: CaptureContentTypeHeader -> Value # toEncoding :: CaptureContentTypeHeader -> Encoding # toJSONList :: [CaptureContentTypeHeader] -> Value # toEncodingList :: [CaptureContentTypeHeader] -> Encoding #
FromJSON CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader Methods parseJSON :: Value -> Parser CaptureContentTypeHeader # parseJSONList :: Value -> Parser [CaptureContentTypeHeader] #
type Rep CaptureContentTypeHeader Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader type Rep CaptureContentTypeHeader = D1 ('MetaData "CaptureContentTypeHeader" "Amazonka.SageMaker.Types.CaptureContentTypeHeader" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CaptureContentTypeHeader'" 'PrefixI 'True) (S1 ('MetaSel ('Just "csvContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "jsonContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))))

newCaptureContentTypeHeader :: CaptureContentTypeHeader Source #

Create a value of CaptureContentTypeHeader with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:csvContentTypes:CaptureContentTypeHeader', captureContentTypeHeader_csvContentTypes -

$sel:jsonContentTypes:CaptureContentTypeHeader', captureContentTypeHeader_jsonContentTypes -

captureContentTypeHeader_csvContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text)) Source #

captureContentTypeHeader_jsonContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text)) Source #

CaptureOption

data CaptureOption Source #

See: newCaptureOption smart constructor.

Constructors

CaptureOption'
Fields captureMode :: CaptureMode

Instances

Instances details

Eq CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods (==) :: CaptureOption -> CaptureOption -> Bool # (/=) :: CaptureOption -> CaptureOption -> Bool #
Read CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods readsPrec :: Int -> ReadS CaptureOption # readList :: ReadS [CaptureOption] # readPrec :: ReadPrec CaptureOption # readListPrec :: ReadPrec [CaptureOption] #
Show CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods showsPrec :: Int -> CaptureOption -> ShowS # show :: CaptureOption -> String # showList :: [CaptureOption] -> ShowS #
Generic CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Associated Types type Rep CaptureOption :: Type -> Type # Methods from :: CaptureOption -> Rep CaptureOption x # to :: Rep CaptureOption x -> CaptureOption #
NFData CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods rnf :: CaptureOption -> () #
Hashable CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods hashWithSalt :: Int -> CaptureOption -> Int # hash :: CaptureOption -> Int #
ToJSON CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods toJSON :: CaptureOption -> Value # toEncoding :: CaptureOption -> Encoding # toJSONList :: [CaptureOption] -> Value # toEncodingList :: [CaptureOption] -> Encoding #
FromJSON CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption Methods parseJSON :: Value -> Parser CaptureOption # parseJSONList :: Value -> Parser [CaptureOption] #
type Rep CaptureOption Source #
Instance details Defined in Amazonka.SageMaker.Types.CaptureOption type Rep CaptureOption = D1 ('MetaData "CaptureOption" "Amazonka.SageMaker.Types.CaptureOption" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CaptureOption'" 'PrefixI 'True) (S1 ('MetaSel ('Just "captureMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CaptureMode)))

newCaptureOption Source #

Arguments

:: CaptureMode	`$sel:captureMode:CaptureOption'`
-> CaptureOption

Create a value of CaptureOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:captureMode:CaptureOption', captureOption_captureMode -

captureOption_captureMode :: Lens' CaptureOption CaptureMode Source #

CategoricalParameterRange

data CategoricalParameterRange Source #

A list of categorical hyperparameters to tune.

See: newCategoricalParameterRange smart constructor.

Constructors

CategoricalParameterRange'
Fields name :: Text The name of the categorical hyperparameter to tune. values :: NonEmpty Text A list of the categories for the hyperparameter.

Instances

Instances details

Eq CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods (==) :: CategoricalParameterRange -> CategoricalParameterRange -> Bool # (/=) :: CategoricalParameterRange -> CategoricalParameterRange -> Bool #
Read CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods readsPrec :: Int -> ReadS CategoricalParameterRange # readList :: ReadS [CategoricalParameterRange] # readPrec :: ReadPrec CategoricalParameterRange # readListPrec :: ReadPrec [CategoricalParameterRange] #
Show CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods showsPrec :: Int -> CategoricalParameterRange -> ShowS # show :: CategoricalParameterRange -> String # showList :: [CategoricalParameterRange] -> ShowS #
Generic CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Associated Types type Rep CategoricalParameterRange :: Type -> Type # Methods from :: CategoricalParameterRange -> Rep CategoricalParameterRange x # to :: Rep CategoricalParameterRange x -> CategoricalParameterRange #
NFData CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods rnf :: CategoricalParameterRange -> () #
Hashable CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods hashWithSalt :: Int -> CategoricalParameterRange -> Int # hash :: CategoricalParameterRange -> Int #
ToJSON CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods toJSON :: CategoricalParameterRange -> Value # toEncoding :: CategoricalParameterRange -> Encoding # toJSONList :: [CategoricalParameterRange] -> Value # toEncodingList :: [CategoricalParameterRange] -> Encoding #
FromJSON CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange Methods parseJSON :: Value -> Parser CategoricalParameterRange # parseJSONList :: Value -> Parser [CategoricalParameterRange] #
type Rep CategoricalParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRange type Rep CategoricalParameterRange = D1 ('MetaData "CategoricalParameterRange" "Amazonka.SageMaker.Types.CategoricalParameterRange" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CategoricalParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newCategoricalParameterRange Source #

Arguments

:: Text	`$sel:name:CategoricalParameterRange'`
-> NonEmpty Text	`$sel:values:CategoricalParameterRange'`
-> CategoricalParameterRange

Create a value of CategoricalParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:CategoricalParameterRange', categoricalParameterRange_name - The name of the categorical hyperparameter to tune.

$sel:values:CategoricalParameterRange', categoricalParameterRange_values - A list of the categories for the hyperparameter.

categoricalParameterRange_name :: Lens' CategoricalParameterRange Text Source #

The name of the categorical hyperparameter to tune.

categoricalParameterRange_values :: Lens' CategoricalParameterRange (NonEmpty Text) Source #

A list of the categories for the hyperparameter.

CategoricalParameterRangeSpecification

data CategoricalParameterRangeSpecification Source #

Defines the possible values for a categorical hyperparameter.

See: newCategoricalParameterRangeSpecification smart constructor.

Constructors

CategoricalParameterRangeSpecification'
Fields values :: NonEmpty Text The allowed categories for the hyperparameter.

Instances

Instances details

Eq CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods (==) :: CategoricalParameterRangeSpecification -> CategoricalParameterRangeSpecification -> Bool # (/=) :: CategoricalParameterRangeSpecification -> CategoricalParameterRangeSpecification -> Bool #
Read CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods readsPrec :: Int -> ReadS CategoricalParameterRangeSpecification # readList :: ReadS [CategoricalParameterRangeSpecification] # readPrec :: ReadPrec CategoricalParameterRangeSpecification # readListPrec :: ReadPrec [CategoricalParameterRangeSpecification] #
Show CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods showsPrec :: Int -> CategoricalParameterRangeSpecification -> ShowS # show :: CategoricalParameterRangeSpecification -> String # showList :: [CategoricalParameterRangeSpecification] -> ShowS #
Generic CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Associated Types type Rep CategoricalParameterRangeSpecification :: Type -> Type # Methods from :: CategoricalParameterRangeSpecification -> Rep CategoricalParameterRangeSpecification x # to :: Rep CategoricalParameterRangeSpecification x -> CategoricalParameterRangeSpecification #
NFData CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods rnf :: CategoricalParameterRangeSpecification -> () #
Hashable CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods hashWithSalt :: Int -> CategoricalParameterRangeSpecification -> Int # hash :: CategoricalParameterRangeSpecification -> Int #
ToJSON CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods toJSON :: CategoricalParameterRangeSpecification -> Value # toEncoding :: CategoricalParameterRangeSpecification -> Encoding # toJSONList :: [CategoricalParameterRangeSpecification] -> Value # toEncodingList :: [CategoricalParameterRangeSpecification] -> Encoding #
FromJSON CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification Methods parseJSON :: Value -> Parser CategoricalParameterRangeSpecification # parseJSONList :: Value -> Parser [CategoricalParameterRangeSpecification] #
type Rep CategoricalParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification type Rep CategoricalParameterRangeSpecification = D1 ('MetaData "CategoricalParameterRangeSpecification" "Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CategoricalParameterRangeSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newCategoricalParameterRangeSpecification Source #

Arguments

:: NonEmpty Text	`$sel:values:CategoricalParameterRangeSpecification'`
-> CategoricalParameterRangeSpecification

Create a value of CategoricalParameterRangeSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:values:CategoricalParameterRangeSpecification', categoricalParameterRangeSpecification_values - The allowed categories for the hyperparameter.

categoricalParameterRangeSpecification_values :: Lens' CategoricalParameterRangeSpecification (NonEmpty Text) Source #

The allowed categories for the hyperparameter.

Channel

data Channel Source #

A channel is a named input source that training algorithms can consume.

See: newChannel smart constructor.

Constructors

Channel'

Fields

shuffleConfig :: Maybe ShuffleConfig
A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.
For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
recordWrapperType :: Maybe RecordWrapper
Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.
In File mode, leave this field unset or set it to None.
inputMode :: Maybe TrainingInputMode
(Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode, Amazon SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.
To use a model for incremental training, choose File input model.
compressionType :: Maybe CompressionType
If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.
contentType :: Maybe Text
The MIME type of the data.
channelName :: Text
The name of the channel.
dataSource :: DataSource
The location of the channel data.

Instances

Instances details

Eq Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods (==) :: Channel -> Channel -> Bool # (/=) :: Channel -> Channel -> Bool #
Read Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods readsPrec :: Int -> ReadS Channel # readList :: ReadS [Channel] # readPrec :: ReadPrec Channel # readListPrec :: ReadPrec [Channel] #
Show Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods showsPrec :: Int -> Channel -> ShowS # show :: Channel -> String # showList :: [Channel] -> ShowS #
Generic Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Associated Types type Rep Channel :: Type -> Type # Methods from :: Channel -> Rep Channel x # to :: Rep Channel x -> Channel #
NFData Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods rnf :: Channel -> () #
Hashable Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods hashWithSalt :: Int -> Channel -> Int # hash :: Channel -> Int #
ToJSON Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods toJSON :: Channel -> Value # toEncoding :: Channel -> Encoding # toJSONList :: [Channel] -> Value # toEncodingList :: [Channel] -> Encoding #
FromJSON Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel Methods parseJSON :: Value -> Parser Channel # parseJSONList :: Value -> Parser [Channel] #
type Rep Channel Source #
Instance details Defined in Amazonka.SageMaker.Types.Channel type Rep Channel = D1 ('MetaData "Channel" "Amazonka.SageMaker.Types.Channel" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Channel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "shuffleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ShuffleConfig)) :: (S1 ('MetaSel ('Just "recordWrapperType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecordWrapper)) :: S1 ('MetaSel ('Just "inputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingInputMode)))) :: ((S1 ('MetaSel ('Just "compressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CompressionType)) :: S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "channelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataSource)))))

newChannel Source #

Arguments

:: Text	`$sel:channelName:Channel'`
-> DataSource	`$sel:dataSource:Channel'`
-> Channel

Create a value of Channel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:shuffleConfig:Channel', channel_shuffleConfig - A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

$sel:recordWrapperType:Channel', channel_recordWrapperType - Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.

In File mode, leave this field unset or set it to None.

$sel:inputMode:Channel', channel_inputMode - (Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode, Amazon SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.

To use a model for incremental training, choose File input model.

$sel:compressionType:Channel', channel_compressionType - If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.

$sel:contentType:Channel', channel_contentType - The MIME type of the data.

$sel:channelName:Channel', channel_channelName - The name of the channel.

$sel:dataSource:Channel', channel_dataSource - The location of the channel data.

channel_shuffleConfig :: Lens' Channel (Maybe ShuffleConfig) Source #

A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

channel_recordWrapperType :: Lens' Channel (Maybe RecordWrapper) Source #

Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.

In File mode, leave this field unset or set it to None.

channel_inputMode :: Lens' Channel (Maybe TrainingInputMode) Source #

(Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode, Amazon SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.

To use a model for incremental training, choose File input model.

channel_compressionType :: Lens' Channel (Maybe CompressionType) Source #

If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.

channel_contentType :: Lens' Channel (Maybe Text) Source #

The MIME type of the data.

channel_channelName :: Lens' Channel Text Source #

The name of the channel.

channel_dataSource :: Lens' Channel DataSource Source #

The location of the channel data.

ChannelSpecification

data ChannelSpecification Source #

Defines a named input source, called a channel, to be used by an algorithm.

See: newChannelSpecification smart constructor.

Constructors

ChannelSpecification'

Fields

supportedCompressionTypes :: Maybe [CompressionType]
The allowed compression types, if data compression is used.
isRequired :: Maybe Bool
Indicates whether the channel is required by the algorithm.
description :: Maybe Text
A brief description of the channel.
name :: Text
The name of the channel.
supportedContentTypes :: [Text]
The supported MIME types for the data.
supportedInputModes :: NonEmpty TrainingInputMode
The allowed input mode, either FILE or PIPE.
In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.
In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

Instances

Instances details

Eq ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods (==) :: ChannelSpecification -> ChannelSpecification -> Bool # (/=) :: ChannelSpecification -> ChannelSpecification -> Bool #
Read ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods readsPrec :: Int -> ReadS ChannelSpecification # readList :: ReadS [ChannelSpecification] # readPrec :: ReadPrec ChannelSpecification # readListPrec :: ReadPrec [ChannelSpecification] #
Show ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods showsPrec :: Int -> ChannelSpecification -> ShowS # show :: ChannelSpecification -> String # showList :: [ChannelSpecification] -> ShowS #
Generic ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Associated Types type Rep ChannelSpecification :: Type -> Type # Methods from :: ChannelSpecification -> Rep ChannelSpecification x # to :: Rep ChannelSpecification x -> ChannelSpecification #
NFData ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods rnf :: ChannelSpecification -> () #
Hashable ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods hashWithSalt :: Int -> ChannelSpecification -> Int # hash :: ChannelSpecification -> Int #
ToJSON ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods toJSON :: ChannelSpecification -> Value # toEncoding :: ChannelSpecification -> Encoding # toJSONList :: [ChannelSpecification] -> Value # toEncodingList :: [ChannelSpecification] -> Encoding #
FromJSON ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification Methods parseJSON :: Value -> Parser ChannelSpecification # parseJSONList :: Value -> Parser [ChannelSpecification] #
type Rep ChannelSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ChannelSpecification type Rep ChannelSpecification = D1 ('MetaData "ChannelSpecification" "Amazonka.SageMaker.Types.ChannelSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ChannelSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "supportedCompressionTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CompressionType])) :: (S1 ('MetaSel ('Just "isRequired") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "supportedContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text]) :*: S1 ('MetaSel ('Just "supportedInputModes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty TrainingInputMode))))))

newChannelSpecification Source #

Arguments

:: Text	`$sel:name:ChannelSpecification'`
-> NonEmpty TrainingInputMode	`$sel:supportedInputModes:ChannelSpecification'`
-> ChannelSpecification

Create a value of ChannelSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:supportedCompressionTypes:ChannelSpecification', channelSpecification_supportedCompressionTypes - The allowed compression types, if data compression is used.

$sel:isRequired:ChannelSpecification', channelSpecification_isRequired - Indicates whether the channel is required by the algorithm.

$sel:description:ChannelSpecification', channelSpecification_description - A brief description of the channel.

$sel:name:ChannelSpecification', channelSpecification_name - The name of the channel.

$sel:supportedContentTypes:ChannelSpecification', channelSpecification_supportedContentTypes - The supported MIME types for the data.

$sel:supportedInputModes:ChannelSpecification', channelSpecification_supportedInputModes - The allowed input mode, either FILE or PIPE.

In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.

In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

channelSpecification_supportedCompressionTypes :: Lens' ChannelSpecification (Maybe [CompressionType]) Source #

The allowed compression types, if data compression is used.

channelSpecification_isRequired :: Lens' ChannelSpecification (Maybe Bool) Source #

Indicates whether the channel is required by the algorithm.

channelSpecification_description :: Lens' ChannelSpecification (Maybe Text) Source #

A brief description of the channel.

channelSpecification_name :: Lens' ChannelSpecification Text Source #

The name of the channel.

channelSpecification_supportedContentTypes :: Lens' ChannelSpecification [Text] Source #

The supported MIME types for the data.

channelSpecification_supportedInputModes :: Lens' ChannelSpecification (NonEmpty TrainingInputMode) Source #

The allowed input mode, either FILE or PIPE.

In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.

In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

CheckpointConfig

data CheckpointConfig Source #

Contains information about the output location for managed spot training checkpoint data.

See: newCheckpointConfig smart constructor.

Constructors

CheckpointConfig'
Fields localPath :: Maybe Text (Optional) The local directory where checkpoints are written. The default directory is `/opt/ml/checkpoints/`. s3Uri :: Text Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, `s3://bucket-name/key-name-prefix`.

Instances

Instances details

Eq CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods (==) :: CheckpointConfig -> CheckpointConfig -> Bool # (/=) :: CheckpointConfig -> CheckpointConfig -> Bool #
Read CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods readsPrec :: Int -> ReadS CheckpointConfig # readList :: ReadS [CheckpointConfig] # readPrec :: ReadPrec CheckpointConfig # readListPrec :: ReadPrec [CheckpointConfig] #
Show CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods showsPrec :: Int -> CheckpointConfig -> ShowS # show :: CheckpointConfig -> String # showList :: [CheckpointConfig] -> ShowS #
Generic CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Associated Types type Rep CheckpointConfig :: Type -> Type # Methods from :: CheckpointConfig -> Rep CheckpointConfig x # to :: Rep CheckpointConfig x -> CheckpointConfig #
NFData CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods rnf :: CheckpointConfig -> () #
Hashable CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods hashWithSalt :: Int -> CheckpointConfig -> Int # hash :: CheckpointConfig -> Int #
ToJSON CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods toJSON :: CheckpointConfig -> Value # toEncoding :: CheckpointConfig -> Encoding # toJSONList :: [CheckpointConfig] -> Value # toEncodingList :: [CheckpointConfig] -> Encoding #
FromJSON CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig Methods parseJSON :: Value -> Parser CheckpointConfig # parseJSONList :: Value -> Parser [CheckpointConfig] #
type Rep CheckpointConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CheckpointConfig type Rep CheckpointConfig = D1 ('MetaData "CheckpointConfig" "Amazonka.SageMaker.Types.CheckpointConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CheckpointConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCheckpointConfig Source #

Arguments

:: Text	`$sel:s3Uri:CheckpointConfig'`
-> CheckpointConfig

Create a value of CheckpointConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:localPath:CheckpointConfig', checkpointConfig_localPath - (Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.

$sel:s3Uri:CheckpointConfig', checkpointConfig_s3Uri - Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.

checkpointConfig_localPath :: Lens' CheckpointConfig (Maybe Text) Source #

(Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.

checkpointConfig_s3Uri :: Lens' CheckpointConfig Text Source #

Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.

CodeRepositorySummary

data CodeRepositorySummary Source #

Specifies summary information about a Git repository.

See: newCodeRepositorySummary smart constructor.

Constructors

CodeRepositorySummary'

Fields

gitConfig :: Maybe GitConfig
Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.
codeRepositoryName :: Text
The name of the Git repository.
codeRepositoryArn :: Text
The Amazon Resource Name (ARN) of the Git repository.
creationTime :: POSIX
The date and time that the Git repository was created.
lastModifiedTime :: POSIX
The date and time that the Git repository was last modified.

Instances

Instances details

Eq CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Methods (==) :: CodeRepositorySummary -> CodeRepositorySummary -> Bool # (/=) :: CodeRepositorySummary -> CodeRepositorySummary -> Bool #
Read CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Methods readsPrec :: Int -> ReadS CodeRepositorySummary # readList :: ReadS [CodeRepositorySummary] # readPrec :: ReadPrec CodeRepositorySummary # readListPrec :: ReadPrec [CodeRepositorySummary] #
Show CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Methods showsPrec :: Int -> CodeRepositorySummary -> ShowS # show :: CodeRepositorySummary -> String # showList :: [CodeRepositorySummary] -> ShowS #
Generic CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Associated Types type Rep CodeRepositorySummary :: Type -> Type # Methods from :: CodeRepositorySummary -> Rep CodeRepositorySummary x # to :: Rep CodeRepositorySummary x -> CodeRepositorySummary #
NFData CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Methods rnf :: CodeRepositorySummary -> () #
Hashable CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Methods hashWithSalt :: Int -> CodeRepositorySummary -> Int # hash :: CodeRepositorySummary -> Int #
FromJSON CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary Methods parseJSON :: Value -> Parser CodeRepositorySummary # parseJSONList :: Value -> Parser [CodeRepositorySummary] #
type Rep CodeRepositorySummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CodeRepositorySummary type Rep CodeRepositorySummary = D1 ('MetaData "CodeRepositorySummary" "Amazonka.SageMaker.Types.CodeRepositorySummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CodeRepositorySummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "gitConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GitConfig)) :: S1 ('MetaSel ('Just "codeRepositoryName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "codeRepositoryArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newCodeRepositorySummary Source #

Arguments

:: Text	`$sel:codeRepositoryName:CodeRepositorySummary'`
-> Text	`$sel:codeRepositoryArn:CodeRepositorySummary'`
-> UTCTime	`$sel:creationTime:CodeRepositorySummary'`
-> UTCTime	`$sel:lastModifiedTime:CodeRepositorySummary'`
-> CodeRepositorySummary

Create a value of CodeRepositorySummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:gitConfig:CodeRepositorySummary', codeRepositorySummary_gitConfig - Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.

$sel:codeRepositoryName:CodeRepositorySummary', codeRepositorySummary_codeRepositoryName - The name of the Git repository.

$sel:codeRepositoryArn:CodeRepositorySummary', codeRepositorySummary_codeRepositoryArn - The Amazon Resource Name (ARN) of the Git repository.

$sel:creationTime:CodeRepositorySummary', codeRepositorySummary_creationTime - The date and time that the Git repository was created.

$sel:lastModifiedTime:CodeRepositorySummary', codeRepositorySummary_lastModifiedTime - The date and time that the Git repository was last modified.

codeRepositorySummary_gitConfig :: Lens' CodeRepositorySummary (Maybe GitConfig) Source #

Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.

codeRepositorySummary_codeRepositoryName :: Lens' CodeRepositorySummary Text Source #

The name of the Git repository.

codeRepositorySummary_codeRepositoryArn :: Lens' CodeRepositorySummary Text Source #

The Amazon Resource Name (ARN) of the Git repository.

codeRepositorySummary_creationTime :: Lens' CodeRepositorySummary UTCTime Source #

The date and time that the Git repository was created.

codeRepositorySummary_lastModifiedTime :: Lens' CodeRepositorySummary UTCTime Source #

The date and time that the Git repository was last modified.

CognitoConfig

data CognitoConfig Source #

Use this parameter to configure your Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.

See: newCognitoConfig smart constructor.

Constructors

CognitoConfig'
Fields userPool :: Text A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers. clientId :: Text The client ID for your Amazon Cognito user pool.

Instances

Instances details

Eq CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods (==) :: CognitoConfig -> CognitoConfig -> Bool # (/=) :: CognitoConfig -> CognitoConfig -> Bool #
Read CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods readsPrec :: Int -> ReadS CognitoConfig # readList :: ReadS [CognitoConfig] # readPrec :: ReadPrec CognitoConfig # readListPrec :: ReadPrec [CognitoConfig] #
Show CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods showsPrec :: Int -> CognitoConfig -> ShowS # show :: CognitoConfig -> String # showList :: [CognitoConfig] -> ShowS #
Generic CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Associated Types type Rep CognitoConfig :: Type -> Type # Methods from :: CognitoConfig -> Rep CognitoConfig x # to :: Rep CognitoConfig x -> CognitoConfig #
NFData CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods rnf :: CognitoConfig -> () #
Hashable CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods hashWithSalt :: Int -> CognitoConfig -> Int # hash :: CognitoConfig -> Int #
ToJSON CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods toJSON :: CognitoConfig -> Value # toEncoding :: CognitoConfig -> Encoding # toJSONList :: [CognitoConfig] -> Value # toEncodingList :: [CognitoConfig] -> Encoding #
FromJSON CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig Methods parseJSON :: Value -> Parser CognitoConfig # parseJSONList :: Value -> Parser [CognitoConfig] #
type Rep CognitoConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoConfig type Rep CognitoConfig = D1 ('MetaData "CognitoConfig" "Amazonka.SageMaker.Types.CognitoConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CognitoConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "userPool") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCognitoConfig Source #

Arguments

:: Text	`$sel:userPool:CognitoConfig'`
-> Text	`$sel:clientId:CognitoConfig'`
-> CognitoConfig

Create a value of CognitoConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:userPool:CognitoConfig', cognitoConfig_userPool - A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.

$sel:clientId:CognitoConfig', cognitoConfig_clientId - The client ID for your Amazon Cognito user pool.

cognitoConfig_userPool :: Lens' CognitoConfig Text Source #

A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.

cognitoConfig_clientId :: Lens' CognitoConfig Text Source #

The client ID for your Amazon Cognito user pool.

CognitoMemberDefinition

data CognitoMemberDefinition Source #

Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.

See: newCognitoMemberDefinition smart constructor.

Constructors

CognitoMemberDefinition'
Fields userPool :: Text An identifier for a user pool. The user pool must be in the same region as the service that you are calling. userGroup :: Text An identifier for a user group. clientId :: Text An identifier for an application client. You must create the app client ID using Amazon Cognito.

Instances

Instances details

Eq CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods (==) :: CognitoMemberDefinition -> CognitoMemberDefinition -> Bool # (/=) :: CognitoMemberDefinition -> CognitoMemberDefinition -> Bool #
Read CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods readsPrec :: Int -> ReadS CognitoMemberDefinition # readList :: ReadS [CognitoMemberDefinition] # readPrec :: ReadPrec CognitoMemberDefinition # readListPrec :: ReadPrec [CognitoMemberDefinition] #
Show CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods showsPrec :: Int -> CognitoMemberDefinition -> ShowS # show :: CognitoMemberDefinition -> String # showList :: [CognitoMemberDefinition] -> ShowS #
Generic CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Associated Types type Rep CognitoMemberDefinition :: Type -> Type # Methods from :: CognitoMemberDefinition -> Rep CognitoMemberDefinition x # to :: Rep CognitoMemberDefinition x -> CognitoMemberDefinition #
NFData CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods rnf :: CognitoMemberDefinition -> () #
Hashable CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods hashWithSalt :: Int -> CognitoMemberDefinition -> Int # hash :: CognitoMemberDefinition -> Int #
ToJSON CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods toJSON :: CognitoMemberDefinition -> Value # toEncoding :: CognitoMemberDefinition -> Encoding # toJSONList :: [CognitoMemberDefinition] -> Value # toEncodingList :: [CognitoMemberDefinition] -> Encoding #
FromJSON CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition Methods parseJSON :: Value -> Parser CognitoMemberDefinition # parseJSONList :: Value -> Parser [CognitoMemberDefinition] #
type Rep CognitoMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition type Rep CognitoMemberDefinition = D1 ('MetaData "CognitoMemberDefinition" "Amazonka.SageMaker.Types.CognitoMemberDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CognitoMemberDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "userPool") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "userGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCognitoMemberDefinition Source #

Arguments

:: Text	`$sel:userPool:CognitoMemberDefinition'`
-> Text	`$sel:userGroup:CognitoMemberDefinition'`
-> Text	`$sel:clientId:CognitoMemberDefinition'`
-> CognitoMemberDefinition

Create a value of CognitoMemberDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:userPool:CognitoMemberDefinition', cognitoMemberDefinition_userPool - An identifier for a user pool. The user pool must be in the same region as the service that you are calling.

$sel:userGroup:CognitoMemberDefinition', cognitoMemberDefinition_userGroup - An identifier for a user group.

$sel:clientId:CognitoMemberDefinition', cognitoMemberDefinition_clientId - An identifier for an application client. You must create the app client ID using Amazon Cognito.

cognitoMemberDefinition_userPool :: Lens' CognitoMemberDefinition Text Source #

An identifier for a user pool. The user pool must be in the same region as the service that you are calling.

cognitoMemberDefinition_userGroup :: Lens' CognitoMemberDefinition Text Source #

An identifier for a user group.

cognitoMemberDefinition_clientId :: Lens' CognitoMemberDefinition Text Source #

An identifier for an application client. You must create the app client ID using Amazon Cognito.

CollectionConfiguration

data CollectionConfiguration Source #

Configuration information for the Debugger output tensor collections.

See: newCollectionConfiguration smart constructor.

Constructors

CollectionConfiguration'
Fields collectionParameters :: Maybe (HashMap Text Text) Parameter values for the tensor collection. The allowed parameters are `"name"`, `"include_regex"`, `"reduction_config"`, `"save_config"`, `"tensor_names"`, and `"save_histogram"`. collectionName :: Maybe Text The name of the tensor collection. The name must be unique relative to other rule configuration names.

Instances

Instances details

Eq CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods (==) :: CollectionConfiguration -> CollectionConfiguration -> Bool # (/=) :: CollectionConfiguration -> CollectionConfiguration -> Bool #
Read CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods readsPrec :: Int -> ReadS CollectionConfiguration # readList :: ReadS [CollectionConfiguration] # readPrec :: ReadPrec CollectionConfiguration # readListPrec :: ReadPrec [CollectionConfiguration] #
Show CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods showsPrec :: Int -> CollectionConfiguration -> ShowS # show :: CollectionConfiguration -> String # showList :: [CollectionConfiguration] -> ShowS #
Generic CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Associated Types type Rep CollectionConfiguration :: Type -> Type # Methods from :: CollectionConfiguration -> Rep CollectionConfiguration x # to :: Rep CollectionConfiguration x -> CollectionConfiguration #
NFData CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods rnf :: CollectionConfiguration -> () #
Hashable CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods hashWithSalt :: Int -> CollectionConfiguration -> Int # hash :: CollectionConfiguration -> Int #
ToJSON CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods toJSON :: CollectionConfiguration -> Value # toEncoding :: CollectionConfiguration -> Encoding # toJSONList :: [CollectionConfiguration] -> Value # toEncodingList :: [CollectionConfiguration] -> Encoding #
FromJSON CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration Methods parseJSON :: Value -> Parser CollectionConfiguration # parseJSONList :: Value -> Parser [CollectionConfiguration] #
type Rep CollectionConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.CollectionConfiguration type Rep CollectionConfiguration = D1 ('MetaData "CollectionConfiguration" "Amazonka.SageMaker.Types.CollectionConfiguration" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CollectionConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "collectionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newCollectionConfiguration :: CollectionConfiguration Source #

Create a value of CollectionConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionParameters:CollectionConfiguration', collectionConfiguration_collectionParameters - Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".

$sel:collectionName:CollectionConfiguration', collectionConfiguration_collectionName - The name of the tensor collection. The name must be unique relative to other rule configuration names.

collectionConfiguration_collectionParameters :: Lens' CollectionConfiguration (Maybe (HashMap Text Text)) Source #

Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".

collectionConfiguration_collectionName :: Lens' CollectionConfiguration (Maybe Text) Source #

The name of the tensor collection. The name must be unique relative to other rule configuration names.

CompilationJobSummary

data CompilationJobSummary Source #

A summary of a model compilation job.

See: newCompilationJobSummary smart constructor.

Constructors

CompilationJobSummary'

Fields

compilationStartTime :: Maybe POSIX
The time when the model compilation job started.
compilationTargetPlatformAccelerator :: Maybe TargetPlatformAccelerator
The type of accelerator that the model will run on after the compilation job has completed.
compilationTargetDevice :: Maybe TargetDevice
The type of device that the model will run on after the compilation job has completed.
lastModifiedTime :: Maybe POSIX
The time when the model compilation job was last modified.
compilationTargetPlatformArch :: Maybe TargetPlatformArch
The type of architecture that the model will run on after the compilation job has completed.
compilationEndTime :: Maybe POSIX
The time when the model compilation job completed.
compilationTargetPlatformOs :: Maybe TargetPlatformOs
The type of OS that the model will run on after the compilation job has completed.
compilationJobName :: Text
The name of the model compilation job that you want a summary for.
compilationJobArn :: Text
The Amazon Resource Name (ARN) of the model compilation job.
creationTime :: POSIX
The time when the model compilation job was created.
compilationJobStatus :: CompilationJobStatus
The status of the model compilation job.

Instances

Instances details

Eq CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Methods (==) :: CompilationJobSummary -> CompilationJobSummary -> Bool # (/=) :: CompilationJobSummary -> CompilationJobSummary -> Bool #
Read CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Methods readsPrec :: Int -> ReadS CompilationJobSummary # readList :: ReadS [CompilationJobSummary] # readPrec :: ReadPrec CompilationJobSummary # readListPrec :: ReadPrec [CompilationJobSummary] #
Show CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Methods showsPrec :: Int -> CompilationJobSummary -> ShowS # show :: CompilationJobSummary -> String # showList :: [CompilationJobSummary] -> ShowS #
Generic CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Associated Types type Rep CompilationJobSummary :: Type -> Type # Methods from :: CompilationJobSummary -> Rep CompilationJobSummary x # to :: Rep CompilationJobSummary x -> CompilationJobSummary #
NFData CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Methods rnf :: CompilationJobSummary -> () #
Hashable CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Methods hashWithSalt :: Int -> CompilationJobSummary -> Int # hash :: CompilationJobSummary -> Int #
FromJSON CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary Methods parseJSON :: Value -> Parser CompilationJobSummary # parseJSONList :: Value -> Parser [CompilationJobSummary] #
type Rep CompilationJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.CompilationJobSummary type Rep CompilationJobSummary = D1 ('MetaData "CompilationJobSummary" "Amazonka.SageMaker.Types.CompilationJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CompilationJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "compilationStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "compilationTargetPlatformAccelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformAccelerator))) :: (S1 ('MetaSel ('Just "compilationTargetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetDevice)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "compilationTargetPlatformArch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformArch))))) :: ((S1 ('MetaSel ('Just "compilationEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "compilationTargetPlatformOs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformOs)) :: S1 ('MetaSel ('Just "compilationJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "compilationJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "compilationJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CompilationJobStatus))))))

newCompilationJobSummary Source #

Arguments

:: Text	`$sel:compilationJobName:CompilationJobSummary'`
-> Text	`$sel:compilationJobArn:CompilationJobSummary'`
-> UTCTime	`$sel:creationTime:CompilationJobSummary'`
-> CompilationJobStatus	`$sel:compilationJobStatus:CompilationJobSummary'`
-> CompilationJobSummary

Create a value of CompilationJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compilationStartTime:CompilationJobSummary', compilationJobSummary_compilationStartTime - The time when the model compilation job started.

$sel:compilationTargetPlatformAccelerator:CompilationJobSummary', compilationJobSummary_compilationTargetPlatformAccelerator - The type of accelerator that the model will run on after the compilation job has completed.

$sel:compilationTargetDevice:CompilationJobSummary', compilationJobSummary_compilationTargetDevice - The type of device that the model will run on after the compilation job has completed.

$sel:lastModifiedTime:CompilationJobSummary', compilationJobSummary_lastModifiedTime - The time when the model compilation job was last modified.

$sel:compilationTargetPlatformArch:CompilationJobSummary', compilationJobSummary_compilationTargetPlatformArch - The type of architecture that the model will run on after the compilation job has completed.

$sel:compilationEndTime:CompilationJobSummary', compilationJobSummary_compilationEndTime - The time when the model compilation job completed.

$sel:compilationTargetPlatformOs:CompilationJobSummary', compilationJobSummary_compilationTargetPlatformOs - The type of OS that the model will run on after the compilation job has completed.

$sel:compilationJobName:CompilationJobSummary', compilationJobSummary_compilationJobName - The name of the model compilation job that you want a summary for.

$sel:compilationJobArn:CompilationJobSummary', compilationJobSummary_compilationJobArn - The Amazon Resource Name (ARN) of the model compilation job.

$sel:creationTime:CompilationJobSummary', compilationJobSummary_creationTime - The time when the model compilation job was created.

$sel:compilationJobStatus:CompilationJobSummary', compilationJobSummary_compilationJobStatus - The status of the model compilation job.

compilationJobSummary_compilationStartTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #

The time when the model compilation job started.

compilationJobSummary_compilationTargetPlatformAccelerator :: Lens' CompilationJobSummary (Maybe TargetPlatformAccelerator) Source #

The type of accelerator that the model will run on after the compilation job has completed.

compilationJobSummary_compilationTargetDevice :: Lens' CompilationJobSummary (Maybe TargetDevice) Source #

The type of device that the model will run on after the compilation job has completed.

compilationJobSummary_lastModifiedTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #

The time when the model compilation job was last modified.

compilationJobSummary_compilationTargetPlatformArch :: Lens' CompilationJobSummary (Maybe TargetPlatformArch) Source #

The type of architecture that the model will run on after the compilation job has completed.

compilationJobSummary_compilationEndTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #

The time when the model compilation job completed.

compilationJobSummary_compilationTargetPlatformOs :: Lens' CompilationJobSummary (Maybe TargetPlatformOs) Source #

The type of OS that the model will run on after the compilation job has completed.

compilationJobSummary_compilationJobName :: Lens' CompilationJobSummary Text Source #

The name of the model compilation job that you want a summary for.

compilationJobSummary_compilationJobArn :: Lens' CompilationJobSummary Text Source #

The Amazon Resource Name (ARN) of the model compilation job.

compilationJobSummary_creationTime :: Lens' CompilationJobSummary UTCTime Source #

The time when the model compilation job was created.

compilationJobSummary_compilationJobStatus :: Lens' CompilationJobSummary CompilationJobStatus Source #

The status of the model compilation job.

ConditionStepMetadata

data ConditionStepMetadata Source #

Metadata for a Condition step.

See: newConditionStepMetadata smart constructor.

Constructors

ConditionStepMetadata'
Fields outcome :: Maybe ConditionOutcome The outcome of the Condition step evaluation.

Instances

Instances details

Eq ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Methods (==) :: ConditionStepMetadata -> ConditionStepMetadata -> Bool # (/=) :: ConditionStepMetadata -> ConditionStepMetadata -> Bool #
Read ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Methods readsPrec :: Int -> ReadS ConditionStepMetadata # readList :: ReadS [ConditionStepMetadata] # readPrec :: ReadPrec ConditionStepMetadata # readListPrec :: ReadPrec [ConditionStepMetadata] #
Show ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Methods showsPrec :: Int -> ConditionStepMetadata -> ShowS # show :: ConditionStepMetadata -> String # showList :: [ConditionStepMetadata] -> ShowS #
Generic ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Associated Types type Rep ConditionStepMetadata :: Type -> Type # Methods from :: ConditionStepMetadata -> Rep ConditionStepMetadata x # to :: Rep ConditionStepMetadata x -> ConditionStepMetadata #
NFData ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Methods rnf :: ConditionStepMetadata -> () #
Hashable ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Methods hashWithSalt :: Int -> ConditionStepMetadata -> Int # hash :: ConditionStepMetadata -> Int #
FromJSON ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata Methods parseJSON :: Value -> Parser ConditionStepMetadata # parseJSONList :: Value -> Parser [ConditionStepMetadata] #
type Rep ConditionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ConditionStepMetadata type Rep ConditionStepMetadata = D1 ('MetaData "ConditionStepMetadata" "Amazonka.SageMaker.Types.ConditionStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ConditionStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "outcome") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConditionOutcome))))

newConditionStepMetadata :: ConditionStepMetadata Source #

Create a value of ConditionStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:outcome:ConditionStepMetadata', conditionStepMetadata_outcome - The outcome of the Condition step evaluation.

conditionStepMetadata_outcome :: Lens' ConditionStepMetadata (Maybe ConditionOutcome) Source #

The outcome of the Condition step evaluation.

ContainerDefinition

data ContainerDefinition Source #

Describes the container, as part of model definition.

See: newContainerDefinition smart constructor.

Constructors

ContainerDefinition'

Fields

multiModelConfig :: Maybe MultiModelConfig
Specifies additional configuration for multi-model endpoints.
modelDataUrl :: Maybe Text
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.
If you provide a value for this parameter, Amazon SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.
image :: Maybe Text
The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker
modelPackageName :: Maybe Text
The name or Amazon Resource Name (ARN) of the model package to use to create the model.
environment :: Maybe (HashMap Text Text)
The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.
imageConfig :: Maybe ImageConfig
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers
mode :: Maybe ContainerMode
Whether the container hosts a single model or multiple models.
containerHostname :: Maybe Text
This parameter is ignored for models that contain only a PrimaryContainer.
When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.

Instances

Instances details

Eq ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods (==) :: ContainerDefinition -> ContainerDefinition -> Bool # (/=) :: ContainerDefinition -> ContainerDefinition -> Bool #
Read ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods readsPrec :: Int -> ReadS ContainerDefinition # readList :: ReadS [ContainerDefinition] # readPrec :: ReadPrec ContainerDefinition # readListPrec :: ReadPrec [ContainerDefinition] #
Show ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods showsPrec :: Int -> ContainerDefinition -> ShowS # show :: ContainerDefinition -> String # showList :: [ContainerDefinition] -> ShowS #
Generic ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Associated Types type Rep ContainerDefinition :: Type -> Type # Methods from :: ContainerDefinition -> Rep ContainerDefinition x # to :: Rep ContainerDefinition x -> ContainerDefinition #
NFData ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods rnf :: ContainerDefinition -> () #
Hashable ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods hashWithSalt :: Int -> ContainerDefinition -> Int # hash :: ContainerDefinition -> Int #
ToJSON ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods toJSON :: ContainerDefinition -> Value # toEncoding :: ContainerDefinition -> Encoding # toJSONList :: [ContainerDefinition] -> Value # toEncodingList :: [ContainerDefinition] -> Encoding #
FromJSON ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition Methods parseJSON :: Value -> Parser ContainerDefinition # parseJSONList :: Value -> Parser [ContainerDefinition] #
type Rep ContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ContainerDefinition type Rep ContainerDefinition = D1 ('MetaData "ContainerDefinition" "Amazonka.SageMaker.Types.ContainerDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ContainerDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "multiModelConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MultiModelConfig)) :: S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "modelPackageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "imageConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageConfig))) :: (S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContainerMode)) :*: S1 ('MetaSel ('Just "containerHostname") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newContainerDefinition :: ContainerDefinition Source #

Create a value of ContainerDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:multiModelConfig:ContainerDefinition', containerDefinition_multiModelConfig - Specifies additional configuration for multi-model endpoints.

$sel:modelDataUrl:ContainerDefinition', containerDefinition_modelDataUrl - The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.

The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.

If you provide a value for this parameter, Amazon SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.

$sel:image:ContainerDefinition', containerDefinition_image - The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker

$sel:modelPackageName:ContainerDefinition', containerDefinition_modelPackageName - The name or Amazon Resource Name (ARN) of the model package to use to create the model.

$sel:environment:ContainerDefinition', containerDefinition_environment - The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

$sel:imageConfig:ContainerDefinition', containerDefinition_imageConfig - Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers

$sel:mode:ContainerDefinition', containerDefinition_mode - Whether the container hosts a single model or multiple models.

$sel:containerHostname:ContainerDefinition', containerDefinition_containerHostname - This parameter is ignored for models that contain only a PrimaryContainer.

When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.

containerDefinition_multiModelConfig :: Lens' ContainerDefinition (Maybe MultiModelConfig) Source #

Specifies additional configuration for multi-model endpoints.

containerDefinition_modelDataUrl :: Lens' ContainerDefinition (Maybe Text) Source #

The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.

The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.

If you provide a value for this parameter, Amazon SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.

containerDefinition_image :: Lens' ContainerDefinition (Maybe Text) Source #

The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker

containerDefinition_modelPackageName :: Lens' ContainerDefinition (Maybe Text) Source #

The name or Amazon Resource Name (ARN) of the model package to use to create the model.

containerDefinition_environment :: Lens' ContainerDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

containerDefinition_imageConfig :: Lens' ContainerDefinition (Maybe ImageConfig) Source #

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers

containerDefinition_mode :: Lens' ContainerDefinition (Maybe ContainerMode) Source #

Whether the container hosts a single model or multiple models.

containerDefinition_containerHostname :: Lens' ContainerDefinition (Maybe Text) Source #

This parameter is ignored for models that contain only a PrimaryContainer.

When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.

ContextSource

data ContextSource Source #

A structure describing the source of a context.

See: newContextSource smart constructor.

Constructors

ContextSource'
Fields sourceType :: Maybe Text The type of the source. sourceId :: Maybe Text The ID of the source. sourceUri :: Text The URI of the source.

Instances

Instances details

Eq ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods (==) :: ContextSource -> ContextSource -> Bool # (/=) :: ContextSource -> ContextSource -> Bool #
Read ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods readsPrec :: Int -> ReadS ContextSource # readList :: ReadS [ContextSource] # readPrec :: ReadPrec ContextSource # readListPrec :: ReadPrec [ContextSource] #
Show ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods showsPrec :: Int -> ContextSource -> ShowS # show :: ContextSource -> String # showList :: [ContextSource] -> ShowS #
Generic ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Associated Types type Rep ContextSource :: Type -> Type # Methods from :: ContextSource -> Rep ContextSource x # to :: Rep ContextSource x -> ContextSource #
NFData ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods rnf :: ContextSource -> () #
Hashable ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods hashWithSalt :: Int -> ContextSource -> Int # hash :: ContextSource -> Int #
ToJSON ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods toJSON :: ContextSource -> Value # toEncoding :: ContextSource -> Encoding # toJSONList :: [ContextSource] -> Value # toEncodingList :: [ContextSource] -> Encoding #
FromJSON ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource Methods parseJSON :: Value -> Parser ContextSource # parseJSONList :: Value -> Parser [ContextSource] #
type Rep ContextSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSource type Rep ContextSource = D1 ('MetaData "ContextSource" "Amazonka.SageMaker.Types.ContextSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ContextSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "sourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "sourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newContextSource Source #

Arguments

:: Text	`$sel:sourceUri:ContextSource'`
-> ContextSource

Create a value of ContextSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:ContextSource', contextSource_sourceType - The type of the source.

$sel:sourceId:ContextSource', contextSource_sourceId - The ID of the source.

$sel:sourceUri:ContextSource', contextSource_sourceUri - The URI of the source.

contextSource_sourceType :: Lens' ContextSource (Maybe Text) Source #

The type of the source.

contextSource_sourceId :: Lens' ContextSource (Maybe Text) Source #

The ID of the source.

contextSource_sourceUri :: Lens' ContextSource Text Source #

The URI of the source.

ContextSummary

data ContextSummary Source #

Lists a summary of the properties of a context. A context provides a logical grouping of other entities.

See: newContextSummary smart constructor.

Constructors

ContextSummary'
Fields creationTime :: Maybe POSIX When the context was created. lastModifiedTime :: Maybe POSIX When the context was last modified. contextType :: Maybe Text The type of the context. contextArn :: Maybe Text The Amazon Resource Name (ARN) of the context. source :: Maybe ContextSource The source of the context. contextName :: Maybe Text The name of the context.

Instances

Instances details

Eq ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Methods (==) :: ContextSummary -> ContextSummary -> Bool # (/=) :: ContextSummary -> ContextSummary -> Bool #
Read ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Methods readsPrec :: Int -> ReadS ContextSummary # readList :: ReadS [ContextSummary] # readPrec :: ReadPrec ContextSummary # readListPrec :: ReadPrec [ContextSummary] #
Show ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Methods showsPrec :: Int -> ContextSummary -> ShowS # show :: ContextSummary -> String # showList :: [ContextSummary] -> ShowS #
Generic ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Associated Types type Rep ContextSummary :: Type -> Type # Methods from :: ContextSummary -> Rep ContextSummary x # to :: Rep ContextSummary x -> ContextSummary #
NFData ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Methods rnf :: ContextSummary -> () #
Hashable ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Methods hashWithSalt :: Int -> ContextSummary -> Int # hash :: ContextSummary -> Int #
FromJSON ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary Methods parseJSON :: Value -> Parser ContextSummary # parseJSONList :: Value -> Parser [ContextSummary] #
type Rep ContextSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ContextSummary type Rep ContextSummary = D1 ('MetaData "ContextSummary" "Amazonka.SageMaker.Types.ContextSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ContextSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "contextType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "contextArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContextSource)) :*: S1 ('MetaSel ('Just "contextName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newContextSummary :: ContextSummary Source #

Create a value of ContextSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ContextSummary', contextSummary_creationTime - When the context was created.

$sel:lastModifiedTime:ContextSummary', contextSummary_lastModifiedTime - When the context was last modified.

$sel:contextType:ContextSummary', contextSummary_contextType - The type of the context.

$sel:contextArn:ContextSummary', contextSummary_contextArn - The Amazon Resource Name (ARN) of the context.

$sel:source:ContextSummary', contextSummary_source - The source of the context.

$sel:contextName:ContextSummary', contextSummary_contextName - The name of the context.

contextSummary_creationTime :: Lens' ContextSummary (Maybe UTCTime) Source #

When the context was created.

contextSummary_lastModifiedTime :: Lens' ContextSummary (Maybe UTCTime) Source #

When the context was last modified.

contextSummary_contextType :: Lens' ContextSummary (Maybe Text) Source #

The type of the context.

contextSummary_contextArn :: Lens' ContextSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the context.

contextSummary_source :: Lens' ContextSummary (Maybe ContextSource) Source #

The source of the context.

contextSummary_contextName :: Lens' ContextSummary (Maybe Text) Source #

The name of the context.

ContinuousParameterRange

data ContinuousParameterRange Source #

A list of continuous hyperparameters to tune.

See: newContinuousParameterRange smart constructor.

Constructors

ContinuousParameterRange'

Fields

scalingType :: Maybe HyperParameterScalingType
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
Auto
Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
ReverseLogarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.
name :: Text
The name of the continuous hyperparameter to tune.
minValue :: Text
The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.
maxValue :: Text
The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Instances

Instances details

Eq ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods (==) :: ContinuousParameterRange -> ContinuousParameterRange -> Bool # (/=) :: ContinuousParameterRange -> ContinuousParameterRange -> Bool #
Read ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods readsPrec :: Int -> ReadS ContinuousParameterRange # readList :: ReadS [ContinuousParameterRange] # readPrec :: ReadPrec ContinuousParameterRange # readListPrec :: ReadPrec [ContinuousParameterRange] #
Show ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods showsPrec :: Int -> ContinuousParameterRange -> ShowS # show :: ContinuousParameterRange -> String # showList :: [ContinuousParameterRange] -> ShowS #
Generic ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Associated Types type Rep ContinuousParameterRange :: Type -> Type # Methods from :: ContinuousParameterRange -> Rep ContinuousParameterRange x # to :: Rep ContinuousParameterRange x -> ContinuousParameterRange #
NFData ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods rnf :: ContinuousParameterRange -> () #
Hashable ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods hashWithSalt :: Int -> ContinuousParameterRange -> Int # hash :: ContinuousParameterRange -> Int #
ToJSON ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods toJSON :: ContinuousParameterRange -> Value # toEncoding :: ContinuousParameterRange -> Encoding # toJSONList :: [ContinuousParameterRange] -> Value # toEncodingList :: [ContinuousParameterRange] -> Encoding #
FromJSON ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange Methods parseJSON :: Value -> Parser ContinuousParameterRange # parseJSONList :: Value -> Parser [ContinuousParameterRange] #
type Rep ContinuousParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRange type Rep ContinuousParameterRange = D1 ('MetaData "ContinuousParameterRange" "Amazonka.SageMaker.Types.ContinuousParameterRange" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ContinuousParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "scalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterScalingType)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newContinuousParameterRange Source #

Arguments

:: Text	`$sel:name:ContinuousParameterRange'`
-> Text	`$sel:minValue:ContinuousParameterRange'`
-> Text	`$sel:maxValue:ContinuousParameterRange'`
-> ContinuousParameterRange

Create a value of ContinuousParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:scalingType:ContinuousParameterRange', continuousParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto: Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear: Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
ReverseLogarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

$sel:name:ContinuousParameterRange', continuousParameterRange_name - The name of the continuous hyperparameter to tune.

$sel:minValue:ContinuousParameterRange', continuousParameterRange_minValue - The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

$sel:maxValue:ContinuousParameterRange', continuousParameterRange_maxValue - The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

continuousParameterRange_scalingType :: Lens' ContinuousParameterRange (Maybe HyperParameterScalingType) Source #

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto: Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear: Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
ReverseLogarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

continuousParameterRange_name :: Lens' ContinuousParameterRange Text Source #

The name of the continuous hyperparameter to tune.

continuousParameterRange_minValue :: Lens' ContinuousParameterRange Text Source #

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Text Source #

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

ContinuousParameterRangeSpecification

data ContinuousParameterRangeSpecification Source #

Defines the possible values for a continuous hyperparameter.

See: newContinuousParameterRangeSpecification smart constructor.

Constructors

ContinuousParameterRangeSpecification'
Fields minValue :: Text The minimum floating-point value allowed. maxValue :: Text The maximum floating-point value allowed.

Instances

Instances details

Eq ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods (==) :: ContinuousParameterRangeSpecification -> ContinuousParameterRangeSpecification -> Bool # (/=) :: ContinuousParameterRangeSpecification -> ContinuousParameterRangeSpecification -> Bool #
Read ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods readsPrec :: Int -> ReadS ContinuousParameterRangeSpecification # readList :: ReadS [ContinuousParameterRangeSpecification] # readPrec :: ReadPrec ContinuousParameterRangeSpecification # readListPrec :: ReadPrec [ContinuousParameterRangeSpecification] #
Show ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods showsPrec :: Int -> ContinuousParameterRangeSpecification -> ShowS # show :: ContinuousParameterRangeSpecification -> String # showList :: [ContinuousParameterRangeSpecification] -> ShowS #
Generic ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Associated Types type Rep ContinuousParameterRangeSpecification :: Type -> Type # Methods from :: ContinuousParameterRangeSpecification -> Rep ContinuousParameterRangeSpecification x # to :: Rep ContinuousParameterRangeSpecification x -> ContinuousParameterRangeSpecification #
NFData ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods rnf :: ContinuousParameterRangeSpecification -> () #
Hashable ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods hashWithSalt :: Int -> ContinuousParameterRangeSpecification -> Int # hash :: ContinuousParameterRangeSpecification -> Int #
ToJSON ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods toJSON :: ContinuousParameterRangeSpecification -> Value # toEncoding :: ContinuousParameterRangeSpecification -> Encoding # toJSONList :: [ContinuousParameterRangeSpecification] -> Value # toEncodingList :: [ContinuousParameterRangeSpecification] -> Encoding #
FromJSON ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification Methods parseJSON :: Value -> Parser ContinuousParameterRangeSpecification # parseJSONList :: Value -> Parser [ContinuousParameterRangeSpecification] #
type Rep ContinuousParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification type Rep ContinuousParameterRangeSpecification = D1 ('MetaData "ContinuousParameterRangeSpecification" "Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ContinuousParameterRangeSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newContinuousParameterRangeSpecification Source #

Arguments

:: Text	`$sel:minValue:ContinuousParameterRangeSpecification'`
-> Text	`$sel:maxValue:ContinuousParameterRangeSpecification'`
-> ContinuousParameterRangeSpecification

Create a value of ContinuousParameterRangeSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minValue:ContinuousParameterRangeSpecification', continuousParameterRangeSpecification_minValue - The minimum floating-point value allowed.

$sel:maxValue:ContinuousParameterRangeSpecification', continuousParameterRangeSpecification_maxValue - The maximum floating-point value allowed.

continuousParameterRangeSpecification_minValue :: Lens' ContinuousParameterRangeSpecification Text Source #

The minimum floating-point value allowed.

continuousParameterRangeSpecification_maxValue :: Lens' ContinuousParameterRangeSpecification Text Source #

The maximum floating-point value allowed.

CustomImage

data CustomImage Source #

A custom SageMaker image. For more information, see Bring your own SageMaker image.

See: newCustomImage smart constructor.

Constructors

CustomImage'
Fields imageVersionNumber :: Maybe Natural The version number of the CustomImage. imageName :: Text The name of the CustomImage. Must be unique to your account. appImageConfigName :: Text The name of the AppImageConfig.

Instances

Instances details

Eq CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods (==) :: CustomImage -> CustomImage -> Bool # (/=) :: CustomImage -> CustomImage -> Bool #
Read CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods readsPrec :: Int -> ReadS CustomImage # readList :: ReadS [CustomImage] # readPrec :: ReadPrec CustomImage # readListPrec :: ReadPrec [CustomImage] #
Show CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods showsPrec :: Int -> CustomImage -> ShowS # show :: CustomImage -> String # showList :: [CustomImage] -> ShowS #
Generic CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Associated Types type Rep CustomImage :: Type -> Type # Methods from :: CustomImage -> Rep CustomImage x # to :: Rep CustomImage x -> CustomImage #
NFData CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods rnf :: CustomImage -> () #
Hashable CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods hashWithSalt :: Int -> CustomImage -> Int # hash :: CustomImage -> Int #
ToJSON CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods toJSON :: CustomImage -> Value # toEncoding :: CustomImage -> Encoding # toJSONList :: [CustomImage] -> Value # toEncodingList :: [CustomImage] -> Encoding #
FromJSON CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage Methods parseJSON :: Value -> Parser CustomImage # parseJSONList :: Value -> Parser [CustomImage] #
type Rep CustomImage Source #
Instance details Defined in Amazonka.SageMaker.Types.CustomImage type Rep CustomImage = D1 ('MetaData "CustomImage" "Amazonka.SageMaker.Types.CustomImage" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "CustomImage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "imageVersionNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "imageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "appImageConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCustomImage Source #

Arguments

:: Text	`$sel:imageName:CustomImage'`
-> Text	`$sel:appImageConfigName:CustomImage'`
-> CustomImage

Create a value of CustomImage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:imageVersionNumber:CustomImage', customImage_imageVersionNumber - The version number of the CustomImage.

$sel:imageName:CustomImage', customImage_imageName - The name of the CustomImage. Must be unique to your account.

$sel:appImageConfigName:CustomImage', customImage_appImageConfigName - The name of the AppImageConfig.

customImage_imageVersionNumber :: Lens' CustomImage (Maybe Natural) Source #

The version number of the CustomImage.

customImage_imageName :: Lens' CustomImage Text Source #

The name of the CustomImage. Must be unique to your account.

customImage_appImageConfigName :: Lens' CustomImage Text Source #

The name of the AppImageConfig.

DataCaptureConfig

data DataCaptureConfig Source #

See: newDataCaptureConfig smart constructor.

Constructors

DataCaptureConfig'
Fields captureContentTypeHeader :: Maybe CaptureContentTypeHeader kmsKeyId :: Maybe Text enableCapture :: Maybe Bool initialSamplingPercentage :: Natural destinationS3Uri :: Text captureOptions :: NonEmpty CaptureOption

Instances

Instances details

Eq DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods (==) :: DataCaptureConfig -> DataCaptureConfig -> Bool # (/=) :: DataCaptureConfig -> DataCaptureConfig -> Bool #
Read DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods readsPrec :: Int -> ReadS DataCaptureConfig # readList :: ReadS [DataCaptureConfig] # readPrec :: ReadPrec DataCaptureConfig # readListPrec :: ReadPrec [DataCaptureConfig] #
Show DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods showsPrec :: Int -> DataCaptureConfig -> ShowS # show :: DataCaptureConfig -> String # showList :: [DataCaptureConfig] -> ShowS #
Generic DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Associated Types type Rep DataCaptureConfig :: Type -> Type # Methods from :: DataCaptureConfig -> Rep DataCaptureConfig x # to :: Rep DataCaptureConfig x -> DataCaptureConfig #
NFData DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods rnf :: DataCaptureConfig -> () #
Hashable DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods hashWithSalt :: Int -> DataCaptureConfig -> Int # hash :: DataCaptureConfig -> Int #
ToJSON DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods toJSON :: DataCaptureConfig -> Value # toEncoding :: DataCaptureConfig -> Encoding # toJSONList :: [DataCaptureConfig] -> Value # toEncodingList :: [DataCaptureConfig] -> Encoding #
FromJSON DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig Methods parseJSON :: Value -> Parser DataCaptureConfig # parseJSONList :: Value -> Parser [DataCaptureConfig] #
type Rep DataCaptureConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfig type Rep DataCaptureConfig = D1 ('MetaData "DataCaptureConfig" "Amazonka.SageMaker.Types.DataCaptureConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataCaptureConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "captureContentTypeHeader") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CaptureContentTypeHeader)) :: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "enableCapture") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :: (S1 ('MetaSel ('Just "initialSamplingPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: (S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "captureOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty CaptureOption))))))

newDataCaptureConfig Source #

Arguments

:: Natural	`$sel:initialSamplingPercentage:DataCaptureConfig'`
-> Text	`$sel:destinationS3Uri:DataCaptureConfig'`
-> NonEmpty CaptureOption	`$sel:captureOptions:DataCaptureConfig'`
-> DataCaptureConfig

Create a value of DataCaptureConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:captureContentTypeHeader:DataCaptureConfig', dataCaptureConfig_captureContentTypeHeader -

$sel:kmsKeyId:DataCaptureConfig', dataCaptureConfig_kmsKeyId -

$sel:enableCapture:DataCaptureConfig', dataCaptureConfig_enableCapture -

$sel:initialSamplingPercentage:DataCaptureConfig', dataCaptureConfig_initialSamplingPercentage -

$sel:destinationS3Uri:DataCaptureConfig', dataCaptureConfig_destinationS3Uri -

$sel:captureOptions:DataCaptureConfig', dataCaptureConfig_captureOptions -

dataCaptureConfig_captureContentTypeHeader :: Lens' DataCaptureConfig (Maybe CaptureContentTypeHeader) Source #

dataCaptureConfig_kmsKeyId :: Lens' DataCaptureConfig (Maybe Text) Source #

dataCaptureConfig_enableCapture :: Lens' DataCaptureConfig (Maybe Bool) Source #

dataCaptureConfig_initialSamplingPercentage :: Lens' DataCaptureConfig Natural Source #

dataCaptureConfig_destinationS3Uri :: Lens' DataCaptureConfig Text Source #

dataCaptureConfig_captureOptions :: Lens' DataCaptureConfig (NonEmpty CaptureOption) Source #

DataCaptureConfigSummary

data DataCaptureConfigSummary Source #

See: newDataCaptureConfigSummary smart constructor.

Constructors

DataCaptureConfigSummary'
Fields enableCapture :: Bool captureStatus :: CaptureStatus currentSamplingPercentage :: Natural destinationS3Uri :: Text kmsKeyId :: Text

Instances

Instances details

Eq DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Methods (==) :: DataCaptureConfigSummary -> DataCaptureConfigSummary -> Bool # (/=) :: DataCaptureConfigSummary -> DataCaptureConfigSummary -> Bool #
Read DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Methods readsPrec :: Int -> ReadS DataCaptureConfigSummary # readList :: ReadS [DataCaptureConfigSummary] # readPrec :: ReadPrec DataCaptureConfigSummary # readListPrec :: ReadPrec [DataCaptureConfigSummary] #
Show DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Methods showsPrec :: Int -> DataCaptureConfigSummary -> ShowS # show :: DataCaptureConfigSummary -> String # showList :: [DataCaptureConfigSummary] -> ShowS #
Generic DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Associated Types type Rep DataCaptureConfigSummary :: Type -> Type # Methods from :: DataCaptureConfigSummary -> Rep DataCaptureConfigSummary x # to :: Rep DataCaptureConfigSummary x -> DataCaptureConfigSummary #
NFData DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Methods rnf :: DataCaptureConfigSummary -> () #
Hashable DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Methods hashWithSalt :: Int -> DataCaptureConfigSummary -> Int # hash :: DataCaptureConfigSummary -> Int #
FromJSON DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary Methods parseJSON :: Value -> Parser DataCaptureConfigSummary # parseJSONList :: Value -> Parser [DataCaptureConfigSummary] #
type Rep DataCaptureConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary type Rep DataCaptureConfigSummary = D1 ('MetaData "DataCaptureConfigSummary" "Amazonka.SageMaker.Types.DataCaptureConfigSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataCaptureConfigSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "enableCapture") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Bool) :: S1 ('MetaSel ('Just "captureStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CaptureStatus)) :: (S1 ('MetaSel ('Just "currentSamplingPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: (S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDataCaptureConfigSummary Source #

Arguments

:: Bool	`$sel:enableCapture:DataCaptureConfigSummary'`
-> CaptureStatus	`$sel:captureStatus:DataCaptureConfigSummary'`
-> Natural	`$sel:currentSamplingPercentage:DataCaptureConfigSummary'`
-> Text	`$sel:destinationS3Uri:DataCaptureConfigSummary'`
-> Text	`$sel:kmsKeyId:DataCaptureConfigSummary'`
-> DataCaptureConfigSummary

Create a value of DataCaptureConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableCapture:DataCaptureConfigSummary', dataCaptureConfigSummary_enableCapture -

$sel:captureStatus:DataCaptureConfigSummary', dataCaptureConfigSummary_captureStatus -

$sel:currentSamplingPercentage:DataCaptureConfigSummary', dataCaptureConfigSummary_currentSamplingPercentage -

$sel:destinationS3Uri:DataCaptureConfigSummary', dataCaptureConfigSummary_destinationS3Uri -

$sel:kmsKeyId:DataCaptureConfigSummary', dataCaptureConfigSummary_kmsKeyId -

dataCaptureConfigSummary_enableCapture :: Lens' DataCaptureConfigSummary Bool Source #

dataCaptureConfigSummary_captureStatus :: Lens' DataCaptureConfigSummary CaptureStatus Source #

dataCaptureConfigSummary_currentSamplingPercentage :: Lens' DataCaptureConfigSummary Natural Source #

dataCaptureConfigSummary_destinationS3Uri :: Lens' DataCaptureConfigSummary Text Source #

dataCaptureConfigSummary_kmsKeyId :: Lens' DataCaptureConfigSummary Text Source #

DataCatalogConfig

data DataCatalogConfig Source #

The meta data of the Glue table which serves as data catalog for the OfflineStore.

See: newDataCatalogConfig smart constructor.

Constructors

DataCatalogConfig'
Fields tableName :: Text The name of the Glue table. catalog :: Text The name of the Glue table catalog. database :: Text The name of the Glue table database.

Instances

Instances details

Eq DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods (==) :: DataCatalogConfig -> DataCatalogConfig -> Bool # (/=) :: DataCatalogConfig -> DataCatalogConfig -> Bool #
Read DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods readsPrec :: Int -> ReadS DataCatalogConfig # readList :: ReadS [DataCatalogConfig] # readPrec :: ReadPrec DataCatalogConfig # readListPrec :: ReadPrec [DataCatalogConfig] #
Show DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods showsPrec :: Int -> DataCatalogConfig -> ShowS # show :: DataCatalogConfig -> String # showList :: [DataCatalogConfig] -> ShowS #
Generic DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Associated Types type Rep DataCatalogConfig :: Type -> Type # Methods from :: DataCatalogConfig -> Rep DataCatalogConfig x # to :: Rep DataCatalogConfig x -> DataCatalogConfig #
NFData DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods rnf :: DataCatalogConfig -> () #
Hashable DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods hashWithSalt :: Int -> DataCatalogConfig -> Int # hash :: DataCatalogConfig -> Int #
ToJSON DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods toJSON :: DataCatalogConfig -> Value # toEncoding :: DataCatalogConfig -> Encoding # toJSONList :: [DataCatalogConfig] -> Value # toEncodingList :: [DataCatalogConfig] -> Encoding #
FromJSON DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig Methods parseJSON :: Value -> Parser DataCatalogConfig # parseJSONList :: Value -> Parser [DataCatalogConfig] #
type Rep DataCatalogConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataCatalogConfig type Rep DataCatalogConfig = D1 ('MetaData "DataCatalogConfig" "Amazonka.SageMaker.Types.DataCatalogConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataCatalogConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tableName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "catalog") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "database") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDataCatalogConfig Source #

Arguments

:: Text	`$sel:tableName:DataCatalogConfig'`
-> Text	`$sel:catalog:DataCatalogConfig'`
-> Text	`$sel:database:DataCatalogConfig'`
-> DataCatalogConfig

Create a value of DataCatalogConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tableName:DataCatalogConfig', dataCatalogConfig_tableName - The name of the Glue table.

$sel:catalog:DataCatalogConfig', dataCatalogConfig_catalog - The name of the Glue table catalog.

$sel:database:DataCatalogConfig', dataCatalogConfig_database - The name of the Glue table database.

dataCatalogConfig_tableName :: Lens' DataCatalogConfig Text Source #

The name of the Glue table.

dataCatalogConfig_catalog :: Lens' DataCatalogConfig Text Source #

The name of the Glue table catalog.

dataCatalogConfig_database :: Lens' DataCatalogConfig Text Source #

The name of the Glue table database.

DataProcessing

data DataProcessing Source #

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

See: newDataProcessing smart constructor.

Constructors

DataProcessing'

Fields

outputFilter :: Maybe Text
A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
joinSource :: Maybe JoinSource
Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.
For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.
For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.
For information on how joining in applied, see Workflow for Associating Inferences with Input Records.
inputFilter :: Maybe Text
A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $.
Examples: "$", "$[1:]", "$.features"

Instances

Instances details

Eq DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods (==) :: DataProcessing -> DataProcessing -> Bool # (/=) :: DataProcessing -> DataProcessing -> Bool #
Read DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods readsPrec :: Int -> ReadS DataProcessing # readList :: ReadS [DataProcessing] # readPrec :: ReadPrec DataProcessing # readListPrec :: ReadPrec [DataProcessing] #
Show DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods showsPrec :: Int -> DataProcessing -> ShowS # show :: DataProcessing -> String # showList :: [DataProcessing] -> ShowS #
Generic DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Associated Types type Rep DataProcessing :: Type -> Type # Methods from :: DataProcessing -> Rep DataProcessing x # to :: Rep DataProcessing x -> DataProcessing #
NFData DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods rnf :: DataProcessing -> () #
Hashable DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods hashWithSalt :: Int -> DataProcessing -> Int # hash :: DataProcessing -> Int #
ToJSON DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods toJSON :: DataProcessing -> Value # toEncoding :: DataProcessing -> Encoding # toJSONList :: [DataProcessing] -> Value # toEncodingList :: [DataProcessing] -> Encoding #
FromJSON DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing Methods parseJSON :: Value -> Parser DataProcessing # parseJSONList :: Value -> Parser [DataProcessing] #
type Rep DataProcessing Source #
Instance details Defined in Amazonka.SageMaker.Types.DataProcessing type Rep DataProcessing = D1 ('MetaData "DataProcessing" "Amazonka.SageMaker.Types.DataProcessing" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataProcessing'" 'PrefixI 'True) (S1 ('MetaSel ('Just "outputFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "joinSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JoinSource)) :: S1 ('MetaSel ('Just "inputFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDataProcessing :: DataProcessing Source #

Create a value of DataProcessing with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:outputFilter:DataProcessing', dataProcessing_outputFilter - A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.

Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"

$sel:joinSource:DataProcessing', dataProcessing_joinSource - Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.

For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.

For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.

For information on how joining in applied, see Workflow for Associating Inferences with Input Records.

$sel:inputFilter:DataProcessing', dataProcessing_inputFilter - A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $.

Examples: "$", "$[1:]", "$.features"

dataProcessing_outputFilter :: Lens' DataProcessing (Maybe Text) Source #

A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.

Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"

dataProcessing_joinSource :: Lens' DataProcessing (Maybe JoinSource) Source #

Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.

For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.

For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.

For information on how joining in applied, see Workflow for Associating Inferences with Input Records.

dataProcessing_inputFilter :: Lens' DataProcessing (Maybe Text) Source #

A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $.

Examples: "$", "$[1:]", "$.features"

DataQualityAppSpecification

data DataQualityAppSpecification Source #

Information about the container that a data quality monitoring job runs.

See: newDataQualityAppSpecification smart constructor.

Constructors

DataQualityAppSpecification'

Fields

containerArguments :: Maybe (NonEmpty Text)
The arguments to send to the container that the monitoring job runs.
recordPreprocessorSourceUri :: Maybe Text
An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
environment :: Maybe (HashMap Text Text)
Sets the environment variables in the container that the monitoring job runs.
containerEntrypoint :: Maybe (NonEmpty Text)
The entrypoint for a container used to run a monitoring job.
postAnalyticsProcessorSourceUri :: Maybe Text
An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
imageUri :: Text
The container image that the data quality monitoring job runs.

Instances

Instances details

Eq DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods (==) :: DataQualityAppSpecification -> DataQualityAppSpecification -> Bool # (/=) :: DataQualityAppSpecification -> DataQualityAppSpecification -> Bool #
Read DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods readsPrec :: Int -> ReadS DataQualityAppSpecification # readList :: ReadS [DataQualityAppSpecification] # readPrec :: ReadPrec DataQualityAppSpecification # readListPrec :: ReadPrec [DataQualityAppSpecification] #
Show DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods showsPrec :: Int -> DataQualityAppSpecification -> ShowS # show :: DataQualityAppSpecification -> String # showList :: [DataQualityAppSpecification] -> ShowS #
Generic DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Associated Types type Rep DataQualityAppSpecification :: Type -> Type # Methods from :: DataQualityAppSpecification -> Rep DataQualityAppSpecification x # to :: Rep DataQualityAppSpecification x -> DataQualityAppSpecification #
NFData DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods rnf :: DataQualityAppSpecification -> () #
Hashable DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods hashWithSalt :: Int -> DataQualityAppSpecification -> Int # hash :: DataQualityAppSpecification -> Int #
ToJSON DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods toJSON :: DataQualityAppSpecification -> Value # toEncoding :: DataQualityAppSpecification -> Encoding # toJSONList :: [DataQualityAppSpecification] -> Value # toEncodingList :: [DataQualityAppSpecification] -> Encoding #
FromJSON DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification Methods parseJSON :: Value -> Parser DataQualityAppSpecification # parseJSONList :: Value -> Parser [DataQualityAppSpecification] #
type Rep DataQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification type Rep DataQualityAppSpecification = D1 ('MetaData "DataQualityAppSpecification" "Amazonka.SageMaker.Types.DataQualityAppSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataQualityAppSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "recordPreprocessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :: (S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "postAnalyticsProcessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDataQualityAppSpecification Source #

Arguments

:: Text	`$sel:imageUri:DataQualityAppSpecification'`
-> DataQualityAppSpecification

Create a value of DataQualityAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:DataQualityAppSpecification', dataQualityAppSpecification_containerArguments - The arguments to send to the container that the monitoring job runs.

$sel:recordPreprocessorSourceUri:DataQualityAppSpecification', dataQualityAppSpecification_recordPreprocessorSourceUri - An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

$sel:environment:DataQualityAppSpecification', dataQualityAppSpecification_environment - Sets the environment variables in the container that the monitoring job runs.

$sel:containerEntrypoint:DataQualityAppSpecification', dataQualityAppSpecification_containerEntrypoint - The entrypoint for a container used to run a monitoring job.

$sel:postAnalyticsProcessorSourceUri:DataQualityAppSpecification', dataQualityAppSpecification_postAnalyticsProcessorSourceUri - An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

$sel:imageUri:DataQualityAppSpecification', dataQualityAppSpecification_imageUri - The container image that the data quality monitoring job runs.

dataQualityAppSpecification_containerArguments :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text)) Source #

The arguments to send to the container that the monitoring job runs.

dataQualityAppSpecification_recordPreprocessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

dataQualityAppSpecification_environment :: Lens' DataQualityAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the container that the monitoring job runs.

dataQualityAppSpecification_containerEntrypoint :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text)) Source #

The entrypoint for a container used to run a monitoring job.

dataQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

dataQualityAppSpecification_imageUri :: Lens' DataQualityAppSpecification Text Source #

The container image that the data quality monitoring job runs.

DataQualityBaselineConfig

data DataQualityBaselineConfig Source #

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

See: newDataQualityBaselineConfig smart constructor.

Constructors

DataQualityBaselineConfig'
Fields constraintsResource :: Maybe MonitoringConstraintsResource statisticsResource :: Maybe MonitoringStatisticsResource baseliningJobName :: Maybe Text The name of the job that performs baselining for the data quality monitoring job.

Instances

Instances details

Eq DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods (==) :: DataQualityBaselineConfig -> DataQualityBaselineConfig -> Bool # (/=) :: DataQualityBaselineConfig -> DataQualityBaselineConfig -> Bool #
Read DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods readsPrec :: Int -> ReadS DataQualityBaselineConfig # readList :: ReadS [DataQualityBaselineConfig] # readPrec :: ReadPrec DataQualityBaselineConfig # readListPrec :: ReadPrec [DataQualityBaselineConfig] #
Show DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods showsPrec :: Int -> DataQualityBaselineConfig -> ShowS # show :: DataQualityBaselineConfig -> String # showList :: [DataQualityBaselineConfig] -> ShowS #
Generic DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Associated Types type Rep DataQualityBaselineConfig :: Type -> Type # Methods from :: DataQualityBaselineConfig -> Rep DataQualityBaselineConfig x # to :: Rep DataQualityBaselineConfig x -> DataQualityBaselineConfig #
NFData DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods rnf :: DataQualityBaselineConfig -> () #
Hashable DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods hashWithSalt :: Int -> DataQualityBaselineConfig -> Int # hash :: DataQualityBaselineConfig -> Int #
ToJSON DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods toJSON :: DataQualityBaselineConfig -> Value # toEncoding :: DataQualityBaselineConfig -> Encoding # toJSONList :: [DataQualityBaselineConfig] -> Value # toEncodingList :: [DataQualityBaselineConfig] -> Encoding #
FromJSON DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig Methods parseJSON :: Value -> Parser DataQualityBaselineConfig # parseJSONList :: Value -> Parser [DataQualityBaselineConfig] #
type Rep DataQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig type Rep DataQualityBaselineConfig = D1 ('MetaData "DataQualityBaselineConfig" "Amazonka.SageMaker.Types.DataQualityBaselineConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataQualityBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :: (S1 ('MetaSel ('Just "statisticsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringStatisticsResource)) :: S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDataQualityBaselineConfig :: DataQualityBaselineConfig Source #

Create a value of DataQualityBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraintsResource:DataQualityBaselineConfig', dataQualityBaselineConfig_constraintsResource - Undocumented member.

$sel:statisticsResource:DataQualityBaselineConfig', dataQualityBaselineConfig_statisticsResource - Undocumented member.

$sel:baseliningJobName:DataQualityBaselineConfig', dataQualityBaselineConfig_baseliningJobName - The name of the job that performs baselining for the data quality monitoring job.

dataQualityBaselineConfig_constraintsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

dataQualityBaselineConfig_statisticsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringStatisticsResource) Source #

Undocumented member.

dataQualityBaselineConfig_baseliningJobName :: Lens' DataQualityBaselineConfig (Maybe Text) Source #

The name of the job that performs baselining for the data quality monitoring job.

DataQualityJobInput

data DataQualityJobInput Source #

The input for the data quality monitoring job. Currently endpoints are supported for input.

See: newDataQualityJobInput smart constructor.

Constructors

DataQualityJobInput'
Fields endpointInput :: EndpointInput

Instances

Instances details

Eq DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods (==) :: DataQualityJobInput -> DataQualityJobInput -> Bool # (/=) :: DataQualityJobInput -> DataQualityJobInput -> Bool #
Read DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods readsPrec :: Int -> ReadS DataQualityJobInput # readList :: ReadS [DataQualityJobInput] # readPrec :: ReadPrec DataQualityJobInput # readListPrec :: ReadPrec [DataQualityJobInput] #
Show DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods showsPrec :: Int -> DataQualityJobInput -> ShowS # show :: DataQualityJobInput -> String # showList :: [DataQualityJobInput] -> ShowS #
Generic DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Associated Types type Rep DataQualityJobInput :: Type -> Type # Methods from :: DataQualityJobInput -> Rep DataQualityJobInput x # to :: Rep DataQualityJobInput x -> DataQualityJobInput #
NFData DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods rnf :: DataQualityJobInput -> () #
Hashable DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods hashWithSalt :: Int -> DataQualityJobInput -> Int # hash :: DataQualityJobInput -> Int #
ToJSON DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods toJSON :: DataQualityJobInput -> Value # toEncoding :: DataQualityJobInput -> Encoding # toJSONList :: [DataQualityJobInput] -> Value # toEncodingList :: [DataQualityJobInput] -> Encoding #
FromJSON DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput Methods parseJSON :: Value -> Parser DataQualityJobInput # parseJSONList :: Value -> Parser [DataQualityJobInput] #
type Rep DataQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.DataQualityJobInput type Rep DataQualityJobInput = D1 ('MetaData "DataQualityJobInput" "Amazonka.SageMaker.Types.DataQualityJobInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataQualityJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointInput)))

newDataQualityJobInput Source #

Arguments

:: EndpointInput	`$sel:endpointInput:DataQualityJobInput'`
-> DataQualityJobInput

Create a value of DataQualityJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointInput:DataQualityJobInput', dataQualityJobInput_endpointInput - Undocumented member.

dataQualityJobInput_endpointInput :: Lens' DataQualityJobInput EndpointInput Source #

Undocumented member.

DataSource

data DataSource Source #

Describes the location of the channel data.

See: newDataSource smart constructor.

Constructors

DataSource'
Fields s3DataSource :: Maybe S3DataSource The S3 location of the data source that is associated with a channel. fileSystemDataSource :: Maybe FileSystemDataSource The file system that is associated with a channel.

Instances

Instances details

Eq DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods (==) :: DataSource -> DataSource -> Bool # (/=) :: DataSource -> DataSource -> Bool #
Read DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods readsPrec :: Int -> ReadS DataSource # readList :: ReadS [DataSource] # readPrec :: ReadPrec DataSource # readListPrec :: ReadPrec [DataSource] #
Show DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods showsPrec :: Int -> DataSource -> ShowS # show :: DataSource -> String # showList :: [DataSource] -> ShowS #
Generic DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Associated Types type Rep DataSource :: Type -> Type # Methods from :: DataSource -> Rep DataSource x # to :: Rep DataSource x -> DataSource #
NFData DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods rnf :: DataSource -> () #
Hashable DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods hashWithSalt :: Int -> DataSource -> Int # hash :: DataSource -> Int #
ToJSON DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods toJSON :: DataSource -> Value # toEncoding :: DataSource -> Encoding # toJSONList :: [DataSource] -> Value # toEncodingList :: [DataSource] -> Encoding #
FromJSON DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource Methods parseJSON :: Value -> Parser DataSource # parseJSONList :: Value -> Parser [DataSource] #
type Rep DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.DataSource type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.SageMaker.Types.DataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3DataSource)) :*: S1 ('MetaSel ('Just "fileSystemDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FileSystemDataSource))))

newDataSource :: DataSource Source #

Create a value of DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:DataSource', dataSource_s3DataSource - The S3 location of the data source that is associated with a channel.

$sel:fileSystemDataSource:DataSource', dataSource_fileSystemDataSource - The file system that is associated with a channel.

dataSource_s3DataSource :: Lens' DataSource (Maybe S3DataSource) Source #

The S3 location of the data source that is associated with a channel.

dataSource_fileSystemDataSource :: Lens' DataSource (Maybe FileSystemDataSource) Source #

The file system that is associated with a channel.

DatasetDefinition

data DatasetDefinition Source #

Configuration for Dataset Definition inputs. The Dataset Definition input must specify exactly one of either AthenaDatasetDefinition or RedshiftDatasetDefinition types.

See: newDatasetDefinition smart constructor.

Constructors

DatasetDefinition'

Fields

redshiftDatasetDefinition :: Maybe RedshiftDatasetDefinition
athenaDatasetDefinition :: Maybe AthenaDatasetDefinition
localPath :: Maybe Text
The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
dataDistributionType :: Maybe DataDistributionType
Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
inputMode :: Maybe InputMode
Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

Instances

Instances details

Eq DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods (==) :: DatasetDefinition -> DatasetDefinition -> Bool # (/=) :: DatasetDefinition -> DatasetDefinition -> Bool #
Read DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods readsPrec :: Int -> ReadS DatasetDefinition # readList :: ReadS [DatasetDefinition] # readPrec :: ReadPrec DatasetDefinition # readListPrec :: ReadPrec [DatasetDefinition] #
Show DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods showsPrec :: Int -> DatasetDefinition -> ShowS # show :: DatasetDefinition -> String # showList :: [DatasetDefinition] -> ShowS #
Generic DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Associated Types type Rep DatasetDefinition :: Type -> Type # Methods from :: DatasetDefinition -> Rep DatasetDefinition x # to :: Rep DatasetDefinition x -> DatasetDefinition #
NFData DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods rnf :: DatasetDefinition -> () #
Hashable DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods hashWithSalt :: Int -> DatasetDefinition -> Int # hash :: DatasetDefinition -> Int #
ToJSON DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods toJSON :: DatasetDefinition -> Value # toEncoding :: DatasetDefinition -> Encoding # toJSONList :: [DatasetDefinition] -> Value # toEncodingList :: [DatasetDefinition] -> Encoding #
FromJSON DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition Methods parseJSON :: Value -> Parser DatasetDefinition # parseJSONList :: Value -> Parser [DatasetDefinition] #
type Rep DatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.DatasetDefinition type Rep DatasetDefinition = D1 ('MetaData "DatasetDefinition" "Amazonka.SageMaker.Types.DatasetDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DatasetDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "redshiftDatasetDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RedshiftDatasetDefinition)) :: S1 ('MetaSel ('Just "athenaDatasetDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AthenaDatasetDefinition))) :: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "dataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDistributionType)) :: S1 ('MetaSel ('Just "inputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputMode))))))

newDatasetDefinition :: DatasetDefinition Source #

Create a value of DatasetDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:redshiftDatasetDefinition:DatasetDefinition', datasetDefinition_redshiftDatasetDefinition - Undocumented member.

$sel:athenaDatasetDefinition:DatasetDefinition', datasetDefinition_athenaDatasetDefinition - Undocumented member.

$sel:localPath:DatasetDefinition', datasetDefinition_localPath - The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).

$sel:dataDistributionType:DatasetDefinition', datasetDefinition_dataDistributionType - Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).

$sel:inputMode:DatasetDefinition', datasetDefinition_inputMode - Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

datasetDefinition_redshiftDatasetDefinition :: Lens' DatasetDefinition (Maybe RedshiftDatasetDefinition) Source #

Undocumented member.

datasetDefinition_athenaDatasetDefinition :: Lens' DatasetDefinition (Maybe AthenaDatasetDefinition) Source #

Undocumented member.

datasetDefinition_localPath :: Lens' DatasetDefinition (Maybe Text) Source #

The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).

datasetDefinition_dataDistributionType :: Lens' DatasetDefinition (Maybe DataDistributionType) Source #

Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).

datasetDefinition_inputMode :: Lens' DatasetDefinition (Maybe InputMode) Source #

Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

DebugHookConfig

data DebugHookConfig Source #

Configuration information for the Debugger hook parameters, metric and tensor collections, and storage paths. To learn more about how to configure the DebugHookConfig parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

See: newDebugHookConfig smart constructor.

Constructors

DebugHookConfig'

Fields

localPath :: Maybe Text
Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.
collectionConfigurations :: Maybe [CollectionConfiguration]
Configuration information for Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
hookParameters :: Maybe (HashMap Text Text)
Configuration information for the Debugger hook parameters.
s3OutputPath :: Text
Path to Amazon S3 storage location for metrics and tensors.

Instances

Instances details

Eq DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods (==) :: DebugHookConfig -> DebugHookConfig -> Bool # (/=) :: DebugHookConfig -> DebugHookConfig -> Bool #
Read DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods readsPrec :: Int -> ReadS DebugHookConfig # readList :: ReadS [DebugHookConfig] # readPrec :: ReadPrec DebugHookConfig # readListPrec :: ReadPrec [DebugHookConfig] #
Show DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods showsPrec :: Int -> DebugHookConfig -> ShowS # show :: DebugHookConfig -> String # showList :: [DebugHookConfig] -> ShowS #
Generic DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Associated Types type Rep DebugHookConfig :: Type -> Type # Methods from :: DebugHookConfig -> Rep DebugHookConfig x # to :: Rep DebugHookConfig x -> DebugHookConfig #
NFData DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods rnf :: DebugHookConfig -> () #
Hashable DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods hashWithSalt :: Int -> DebugHookConfig -> Int # hash :: DebugHookConfig -> Int #
ToJSON DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods toJSON :: DebugHookConfig -> Value # toEncoding :: DebugHookConfig -> Encoding # toJSONList :: [DebugHookConfig] -> Value # toEncodingList :: [DebugHookConfig] -> Encoding #
FromJSON DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig Methods parseJSON :: Value -> Parser DebugHookConfig # parseJSONList :: Value -> Parser [DebugHookConfig] #
type Rep DebugHookConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugHookConfig type Rep DebugHookConfig = D1 ('MetaData "DebugHookConfig" "Amazonka.SageMaker.Types.DebugHookConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DebugHookConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "collectionConfigurations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CollectionConfiguration]))) :: (S1 ('MetaSel ('Just "hookParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDebugHookConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:DebugHookConfig'`
-> DebugHookConfig

Create a value of DebugHookConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:localPath:DebugHookConfig', debugHookConfig_localPath - Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.

$sel:collectionConfigurations:DebugHookConfig', debugHookConfig_collectionConfigurations - Configuration information for Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

$sel:hookParameters:DebugHookConfig', debugHookConfig_hookParameters - Configuration information for the Debugger hook parameters.

$sel:s3OutputPath:DebugHookConfig', debugHookConfig_s3OutputPath - Path to Amazon S3 storage location for metrics and tensors.

debugHookConfig_localPath :: Lens' DebugHookConfig (Maybe Text) Source #

Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.

debugHookConfig_collectionConfigurations :: Lens' DebugHookConfig (Maybe [CollectionConfiguration]) Source #

Configuration information for Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

debugHookConfig_hookParameters :: Lens' DebugHookConfig (Maybe (HashMap Text Text)) Source #

Configuration information for the Debugger hook parameters.

debugHookConfig_s3OutputPath :: Lens' DebugHookConfig Text Source #

Path to Amazon S3 storage location for metrics and tensors.

DebugRuleConfiguration

data DebugRuleConfiguration Source #

Configuration information for SageMaker Debugger rules for debugging. To learn more about how to configure the DebugRuleConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

See: newDebugRuleConfiguration smart constructor.

Constructors

DebugRuleConfiguration'

Fields

ruleParameters :: Maybe (HashMap Text Text)
Runtime configuration for rule container.
s3OutputPath :: Maybe Text
Path to Amazon S3 storage location for rules.
localPath :: Maybe Text
Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
instanceType :: Maybe ProcessingInstanceType
The instance type to deploy a Debugger custom rule for debugging a training job.
volumeSizeInGB :: Maybe Natural
The size, in GB, of the ML storage volume attached to the processing instance.
ruleConfigurationName :: Text
The name of the rule configuration. It must be unique relative to other rule configuration names.
ruleEvaluatorImage :: Text
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

Instances

Instances details

Eq DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods (==) :: DebugRuleConfiguration -> DebugRuleConfiguration -> Bool # (/=) :: DebugRuleConfiguration -> DebugRuleConfiguration -> Bool #
Read DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods readsPrec :: Int -> ReadS DebugRuleConfiguration # readList :: ReadS [DebugRuleConfiguration] # readPrec :: ReadPrec DebugRuleConfiguration # readListPrec :: ReadPrec [DebugRuleConfiguration] #
Show DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods showsPrec :: Int -> DebugRuleConfiguration -> ShowS # show :: DebugRuleConfiguration -> String # showList :: [DebugRuleConfiguration] -> ShowS #
Generic DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Associated Types type Rep DebugRuleConfiguration :: Type -> Type # Methods from :: DebugRuleConfiguration -> Rep DebugRuleConfiguration x # to :: Rep DebugRuleConfiguration x -> DebugRuleConfiguration #
NFData DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods rnf :: DebugRuleConfiguration -> () #
Hashable DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods hashWithSalt :: Int -> DebugRuleConfiguration -> Int # hash :: DebugRuleConfiguration -> Int #
ToJSON DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods toJSON :: DebugRuleConfiguration -> Value # toEncoding :: DebugRuleConfiguration -> Encoding # toJSONList :: [DebugRuleConfiguration] -> Value # toEncodingList :: [DebugRuleConfiguration] -> Encoding #
FromJSON DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration Methods parseJSON :: Value -> Parser DebugRuleConfiguration # parseJSONList :: Value -> Parser [DebugRuleConfiguration] #
type Rep DebugRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration type Rep DebugRuleConfiguration = D1 ('MetaData "DebugRuleConfiguration" "Amazonka.SageMaker.Types.DebugRuleConfiguration" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DebugRuleConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "ruleParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingInstanceType)) :: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "ruleEvaluatorImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDebugRuleConfiguration Source #

Arguments

:: Text	`$sel:ruleConfigurationName:DebugRuleConfiguration'`
-> Text	`$sel:ruleEvaluatorImage:DebugRuleConfiguration'`
-> DebugRuleConfiguration

Create a value of DebugRuleConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:ruleParameters:DebugRuleConfiguration', debugRuleConfiguration_ruleParameters - Runtime configuration for rule container.

$sel:s3OutputPath:DebugRuleConfiguration', debugRuleConfiguration_s3OutputPath - Path to Amazon S3 storage location for rules.

$sel:localPath:DebugRuleConfiguration', debugRuleConfiguration_localPath - Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

$sel:instanceType:DebugRuleConfiguration', debugRuleConfiguration_instanceType - The instance type to deploy a Debugger custom rule for debugging a training job.

$sel:volumeSizeInGB:DebugRuleConfiguration', debugRuleConfiguration_volumeSizeInGB - The size, in GB, of the ML storage volume attached to the processing instance.

$sel:ruleConfigurationName:DebugRuleConfiguration', debugRuleConfiguration_ruleConfigurationName - The name of the rule configuration. It must be unique relative to other rule configuration names.

$sel:ruleEvaluatorImage:DebugRuleConfiguration', debugRuleConfiguration_ruleEvaluatorImage - The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

debugRuleConfiguration_ruleParameters :: Lens' DebugRuleConfiguration (Maybe (HashMap Text Text)) Source #

Runtime configuration for rule container.

debugRuleConfiguration_s3OutputPath :: Lens' DebugRuleConfiguration (Maybe Text) Source #

Path to Amazon S3 storage location for rules.

debugRuleConfiguration_localPath :: Lens' DebugRuleConfiguration (Maybe Text) Source #

Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

debugRuleConfiguration_instanceType :: Lens' DebugRuleConfiguration (Maybe ProcessingInstanceType) Source #

The instance type to deploy a Debugger custom rule for debugging a training job.

debugRuleConfiguration_volumeSizeInGB :: Lens' DebugRuleConfiguration (Maybe Natural) Source #

The size, in GB, of the ML storage volume attached to the processing instance.

debugRuleConfiguration_ruleConfigurationName :: Lens' DebugRuleConfiguration Text Source #

The name of the rule configuration. It must be unique relative to other rule configuration names.

debugRuleConfiguration_ruleEvaluatorImage :: Lens' DebugRuleConfiguration Text Source #

The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

DebugRuleEvaluationStatus

data DebugRuleEvaluationStatus Source #

Information about the status of the rule evaluation.

See: newDebugRuleEvaluationStatus smart constructor.

Constructors

DebugRuleEvaluationStatus'

Fields

lastModifiedTime :: Maybe POSIX
Timestamp when the rule evaluation status was last modified.
statusDetails :: Maybe Text
Details from the rule evaluation.
ruleEvaluationStatus :: Maybe RuleEvaluationStatus
Status of the rule evaluation.
ruleEvaluationJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the rule evaluation job.
ruleConfigurationName :: Maybe Text
The name of the rule configuration.

Instances

Instances details

Eq DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Methods (==) :: DebugRuleEvaluationStatus -> DebugRuleEvaluationStatus -> Bool # (/=) :: DebugRuleEvaluationStatus -> DebugRuleEvaluationStatus -> Bool #
Read DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Methods readsPrec :: Int -> ReadS DebugRuleEvaluationStatus # readList :: ReadS [DebugRuleEvaluationStatus] # readPrec :: ReadPrec DebugRuleEvaluationStatus # readListPrec :: ReadPrec [DebugRuleEvaluationStatus] #
Show DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Methods showsPrec :: Int -> DebugRuleEvaluationStatus -> ShowS # show :: DebugRuleEvaluationStatus -> String # showList :: [DebugRuleEvaluationStatus] -> ShowS #
Generic DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Associated Types type Rep DebugRuleEvaluationStatus :: Type -> Type # Methods from :: DebugRuleEvaluationStatus -> Rep DebugRuleEvaluationStatus x # to :: Rep DebugRuleEvaluationStatus x -> DebugRuleEvaluationStatus #
NFData DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Methods rnf :: DebugRuleEvaluationStatus -> () #
Hashable DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Methods hashWithSalt :: Int -> DebugRuleEvaluationStatus -> Int # hash :: DebugRuleEvaluationStatus -> Int #
FromJSON DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus Methods parseJSON :: Value -> Parser DebugRuleEvaluationStatus # parseJSONList :: Value -> Parser [DebugRuleEvaluationStatus] #
type Rep DebugRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus type Rep DebugRuleEvaluationStatus = D1 ('MetaData "DebugRuleEvaluationStatus" "Amazonka.SageMaker.Types.DebugRuleEvaluationStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DebugRuleEvaluationStatus'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "statusDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "ruleEvaluationStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RuleEvaluationStatus)) :: (S1 ('MetaSel ('Just "ruleEvaluationJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDebugRuleEvaluationStatus :: DebugRuleEvaluationStatus Source #

Create a value of DebugRuleEvaluationStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_lastModifiedTime - Timestamp when the rule evaluation status was last modified.

$sel:statusDetails:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_statusDetails - Details from the rule evaluation.

$sel:ruleEvaluationStatus:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_ruleEvaluationStatus - Status of the rule evaluation.

$sel:ruleEvaluationJobArn:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_ruleEvaluationJobArn - The Amazon Resource Name (ARN) of the rule evaluation job.

$sel:ruleConfigurationName:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_ruleConfigurationName - The name of the rule configuration.

debugRuleEvaluationStatus_lastModifiedTime :: Lens' DebugRuleEvaluationStatus (Maybe UTCTime) Source #

Timestamp when the rule evaluation status was last modified.

debugRuleEvaluationStatus_statusDetails :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #

Details from the rule evaluation.

debugRuleEvaluationStatus_ruleEvaluationStatus :: Lens' DebugRuleEvaluationStatus (Maybe RuleEvaluationStatus) Source #

Status of the rule evaluation.

debugRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #

The Amazon Resource Name (ARN) of the rule evaluation job.

debugRuleEvaluationStatus_ruleConfigurationName :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #

The name of the rule configuration.

DeployedImage

data DeployedImage Source #

Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.

If you used the registry/repository[:tag] form to specify the image path of the primary container when you created the model hosted in this ProductionVariant, the path resolves to a path of the form registry/repository[@digest]. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image in the Amazon ECR User Guide.

See: newDeployedImage smart constructor.

Constructors

DeployedImage'
Fields resolvedImage :: Maybe Text The specific digest path of the image hosted in this `ProductionVariant`. specifiedImage :: Maybe Text The image path you specified when you created the model. resolutionTime :: Maybe POSIX The date and time when the image path for the model resolved to the `ResolvedImage`

Instances

Instances details

Eq DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Methods (==) :: DeployedImage -> DeployedImage -> Bool # (/=) :: DeployedImage -> DeployedImage -> Bool #
Read DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Methods readsPrec :: Int -> ReadS DeployedImage # readList :: ReadS [DeployedImage] # readPrec :: ReadPrec DeployedImage # readListPrec :: ReadPrec [DeployedImage] #
Show DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Methods showsPrec :: Int -> DeployedImage -> ShowS # show :: DeployedImage -> String # showList :: [DeployedImage] -> ShowS #
Generic DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Associated Types type Rep DeployedImage :: Type -> Type # Methods from :: DeployedImage -> Rep DeployedImage x # to :: Rep DeployedImage x -> DeployedImage #
NFData DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Methods rnf :: DeployedImage -> () #
Hashable DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Methods hashWithSalt :: Int -> DeployedImage -> Int # hash :: DeployedImage -> Int #
FromJSON DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage Methods parseJSON :: Value -> Parser DeployedImage # parseJSONList :: Value -> Parser [DeployedImage] #
type Rep DeployedImage Source #
Instance details Defined in Amazonka.SageMaker.Types.DeployedImage type Rep DeployedImage = D1 ('MetaData "DeployedImage" "Amazonka.SageMaker.Types.DeployedImage" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DeployedImage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resolvedImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "specifiedImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "resolutionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))

newDeployedImage :: DeployedImage Source #

Create a value of DeployedImage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resolvedImage:DeployedImage', deployedImage_resolvedImage - The specific digest path of the image hosted in this ProductionVariant.

$sel:specifiedImage:DeployedImage', deployedImage_specifiedImage - The image path you specified when you created the model.

$sel:resolutionTime:DeployedImage', deployedImage_resolutionTime - The date and time when the image path for the model resolved to the ResolvedImage

deployedImage_resolvedImage :: Lens' DeployedImage (Maybe Text) Source #

The specific digest path of the image hosted in this ProductionVariant.

deployedImage_specifiedImage :: Lens' DeployedImage (Maybe Text) Source #

The image path you specified when you created the model.

deployedImage_resolutionTime :: Lens' DeployedImage (Maybe UTCTime) Source #

The date and time when the image path for the model resolved to the ResolvedImage

DeploymentConfig

data DeploymentConfig Source #

Currently, the DeploymentConfig API is not supported.

See: newDeploymentConfig smart constructor.

Constructors

DeploymentConfig'
Fields autoRollbackConfiguration :: Maybe AutoRollbackConfig blueGreenUpdatePolicy :: BlueGreenUpdatePolicy

Instances

Instances details

Eq DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods (==) :: DeploymentConfig -> DeploymentConfig -> Bool # (/=) :: DeploymentConfig -> DeploymentConfig -> Bool #
Read DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods readsPrec :: Int -> ReadS DeploymentConfig # readList :: ReadS [DeploymentConfig] # readPrec :: ReadPrec DeploymentConfig # readListPrec :: ReadPrec [DeploymentConfig] #
Show DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods showsPrec :: Int -> DeploymentConfig -> ShowS # show :: DeploymentConfig -> String # showList :: [DeploymentConfig] -> ShowS #
Generic DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Associated Types type Rep DeploymentConfig :: Type -> Type # Methods from :: DeploymentConfig -> Rep DeploymentConfig x # to :: Rep DeploymentConfig x -> DeploymentConfig #
NFData DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods rnf :: DeploymentConfig -> () #
Hashable DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods hashWithSalt :: Int -> DeploymentConfig -> Int # hash :: DeploymentConfig -> Int #
ToJSON DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods toJSON :: DeploymentConfig -> Value # toEncoding :: DeploymentConfig -> Encoding # toJSONList :: [DeploymentConfig] -> Value # toEncodingList :: [DeploymentConfig] -> Encoding #
FromJSON DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig Methods parseJSON :: Value -> Parser DeploymentConfig # parseJSONList :: Value -> Parser [DeploymentConfig] #
type Rep DeploymentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.DeploymentConfig type Rep DeploymentConfig = D1 ('MetaData "DeploymentConfig" "Amazonka.SageMaker.Types.DeploymentConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DeploymentConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "autoRollbackConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoRollbackConfig)) :*: S1 ('MetaSel ('Just "blueGreenUpdatePolicy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 BlueGreenUpdatePolicy)))

newDeploymentConfig Source #

Arguments

:: BlueGreenUpdatePolicy	`$sel:blueGreenUpdatePolicy:DeploymentConfig'`
-> DeploymentConfig

Create a value of DeploymentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoRollbackConfiguration:DeploymentConfig', deploymentConfig_autoRollbackConfiguration -

$sel:blueGreenUpdatePolicy:DeploymentConfig', deploymentConfig_blueGreenUpdatePolicy -

deploymentConfig_autoRollbackConfiguration :: Lens' DeploymentConfig (Maybe AutoRollbackConfig) Source #

deploymentConfig_blueGreenUpdatePolicy :: Lens' DeploymentConfig BlueGreenUpdatePolicy Source #

DesiredWeightAndCapacity

data DesiredWeightAndCapacity Source #

Specifies weight and capacity values for a production variant.

See: newDesiredWeightAndCapacity smart constructor.

Constructors

DesiredWeightAndCapacity'
Fields desiredInstanceCount :: Maybe Natural The variant's capacity. desiredWeight :: Maybe Double The variant's weight. variantName :: Text The name of the variant to update.

Instances

Instances details

Eq DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Methods (==) :: DesiredWeightAndCapacity -> DesiredWeightAndCapacity -> Bool # (/=) :: DesiredWeightAndCapacity -> DesiredWeightAndCapacity -> Bool #
Read DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Methods readsPrec :: Int -> ReadS DesiredWeightAndCapacity # readList :: ReadS [DesiredWeightAndCapacity] # readPrec :: ReadPrec DesiredWeightAndCapacity # readListPrec :: ReadPrec [DesiredWeightAndCapacity] #
Show DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Methods showsPrec :: Int -> DesiredWeightAndCapacity -> ShowS # show :: DesiredWeightAndCapacity -> String # showList :: [DesiredWeightAndCapacity] -> ShowS #
Generic DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Associated Types type Rep DesiredWeightAndCapacity :: Type -> Type # Methods from :: DesiredWeightAndCapacity -> Rep DesiredWeightAndCapacity x # to :: Rep DesiredWeightAndCapacity x -> DesiredWeightAndCapacity #
NFData DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Methods rnf :: DesiredWeightAndCapacity -> () #
Hashable DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Methods hashWithSalt :: Int -> DesiredWeightAndCapacity -> Int # hash :: DesiredWeightAndCapacity -> Int #
ToJSON DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity Methods toJSON :: DesiredWeightAndCapacity -> Value # toEncoding :: DesiredWeightAndCapacity -> Encoding # toJSONList :: [DesiredWeightAndCapacity] -> Value # toEncodingList :: [DesiredWeightAndCapacity] -> Encoding #
type Rep DesiredWeightAndCapacity Source #
Instance details Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity type Rep DesiredWeightAndCapacity = D1 ('MetaData "DesiredWeightAndCapacity" "Amazonka.SageMaker.Types.DesiredWeightAndCapacity" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DesiredWeightAndCapacity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "desiredInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "desiredWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDesiredWeightAndCapacity Source #

Arguments

:: Text	`$sel:variantName:DesiredWeightAndCapacity'`
-> DesiredWeightAndCapacity

Create a value of DesiredWeightAndCapacity with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:desiredInstanceCount:DesiredWeightAndCapacity', desiredWeightAndCapacity_desiredInstanceCount - The variant's capacity.

$sel:desiredWeight:DesiredWeightAndCapacity', desiredWeightAndCapacity_desiredWeight - The variant's weight.

$sel:variantName:DesiredWeightAndCapacity', desiredWeightAndCapacity_variantName - The name of the variant to update.

desiredWeightAndCapacity_desiredInstanceCount :: Lens' DesiredWeightAndCapacity (Maybe Natural) Source #

The variant's capacity.

desiredWeightAndCapacity_desiredWeight :: Lens' DesiredWeightAndCapacity (Maybe Double) Source #

The variant's weight.

desiredWeightAndCapacity_variantName :: Lens' DesiredWeightAndCapacity Text Source #

The name of the variant to update.

Device

data Device Source #

Information of a particular device.

See: newDevice smart constructor.

Constructors

Device'
Fields description :: Maybe Text Description of the device. iotThingName :: Maybe Text Amazon Web Services Internet of Things (IoT) object name. deviceName :: Text The name of the device.

Instances

Instances details

Eq Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Methods (==) :: Device -> Device -> Bool # (/=) :: Device -> Device -> Bool #
Read Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Methods readsPrec :: Int -> ReadS Device # readList :: ReadS [Device] # readPrec :: ReadPrec Device # readListPrec :: ReadPrec [Device] #
Show Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Methods showsPrec :: Int -> Device -> ShowS # show :: Device -> String # showList :: [Device] -> ShowS #
Generic Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Associated Types type Rep Device :: Type -> Type # Methods from :: Device -> Rep Device x # to :: Rep Device x -> Device #
NFData Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Methods rnf :: Device -> () #
Hashable Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Methods hashWithSalt :: Int -> Device -> Int # hash :: Device -> Int #
ToJSON Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device Methods toJSON :: Device -> Value # toEncoding :: Device -> Encoding # toJSONList :: [Device] -> Value # toEncodingList :: [Device] -> Encoding #
type Rep Device Source #
Instance details Defined in Amazonka.SageMaker.Types.Device type Rep Device = D1 ('MetaData "Device" "Amazonka.SageMaker.Types.Device" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Device'" 'PrefixI 'True) (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "iotThingName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "deviceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDevice Source #

Arguments

:: Text	`$sel:deviceName:Device'`
-> Device

Create a value of Device with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:description:Device', device_description - Description of the device.

$sel:iotThingName:Device', device_iotThingName - Amazon Web Services Internet of Things (IoT) object name.

$sel:deviceName:Device', device_deviceName - The name of the device.

device_description :: Lens' Device (Maybe Text) Source #

Description of the device.

device_iotThingName :: Lens' Device (Maybe Text) Source #

Amazon Web Services Internet of Things (IoT) object name.

device_deviceName :: Lens' Device Text Source #

The name of the device.

DeviceFleetSummary

data DeviceFleetSummary Source #

Summary of the device fleet.

See: newDeviceFleetSummary smart constructor.

Constructors

DeviceFleetSummary'
Fields creationTime :: Maybe POSIX Timestamp of when the device fleet was created. lastModifiedTime :: Maybe POSIX Timestamp of when the device fleet was last updated. deviceFleetArn :: Text Amazon Resource Name (ARN) of the device fleet. deviceFleetName :: Text Name of the device fleet.

Instances

Instances details

Eq DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Methods (==) :: DeviceFleetSummary -> DeviceFleetSummary -> Bool # (/=) :: DeviceFleetSummary -> DeviceFleetSummary -> Bool #
Read DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Methods readsPrec :: Int -> ReadS DeviceFleetSummary # readList :: ReadS [DeviceFleetSummary] # readPrec :: ReadPrec DeviceFleetSummary # readListPrec :: ReadPrec [DeviceFleetSummary] #
Show DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Methods showsPrec :: Int -> DeviceFleetSummary -> ShowS # show :: DeviceFleetSummary -> String # showList :: [DeviceFleetSummary] -> ShowS #
Generic DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Associated Types type Rep DeviceFleetSummary :: Type -> Type # Methods from :: DeviceFleetSummary -> Rep DeviceFleetSummary x # to :: Rep DeviceFleetSummary x -> DeviceFleetSummary #
NFData DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Methods rnf :: DeviceFleetSummary -> () #
Hashable DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Methods hashWithSalt :: Int -> DeviceFleetSummary -> Int # hash :: DeviceFleetSummary -> Int #
FromJSON DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary Methods parseJSON :: Value -> Parser DeviceFleetSummary # parseJSONList :: Value -> Parser [DeviceFleetSummary] #
type Rep DeviceFleetSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceFleetSummary type Rep DeviceFleetSummary = D1 ('MetaData "DeviceFleetSummary" "Amazonka.SageMaker.Types.DeviceFleetSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DeviceFleetSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "deviceFleetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceFleetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDeviceFleetSummary Source #

Arguments

:: Text	`$sel:deviceFleetArn:DeviceFleetSummary'`
-> Text	`$sel:deviceFleetName:DeviceFleetSummary'`
-> DeviceFleetSummary

Create a value of DeviceFleetSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:DeviceFleetSummary', deviceFleetSummary_creationTime - Timestamp of when the device fleet was created.

$sel:lastModifiedTime:DeviceFleetSummary', deviceFleetSummary_lastModifiedTime - Timestamp of when the device fleet was last updated.

$sel:deviceFleetArn:DeviceFleetSummary', deviceFleetSummary_deviceFleetArn - Amazon Resource Name (ARN) of the device fleet.

$sel:deviceFleetName:DeviceFleetSummary', deviceFleetSummary_deviceFleetName - Name of the device fleet.

deviceFleetSummary_creationTime :: Lens' DeviceFleetSummary (Maybe UTCTime) Source #

Timestamp of when the device fleet was created.

deviceFleetSummary_lastModifiedTime :: Lens' DeviceFleetSummary (Maybe UTCTime) Source #

Timestamp of when the device fleet was last updated.

deviceFleetSummary_deviceFleetArn :: Lens' DeviceFleetSummary Text Source #

Amazon Resource Name (ARN) of the device fleet.

deviceFleetSummary_deviceFleetName :: Lens' DeviceFleetSummary Text Source #

Name of the device fleet.

DeviceStats

data DeviceStats Source #

Status of devices.

See: newDeviceStats smart constructor.

Constructors

DeviceStats'
Fields connectedDeviceCount :: Integer The number of devices connected with a heartbeat. registeredDeviceCount :: Integer The number of registered devices.

Instances

Instances details

Eq DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Methods (==) :: DeviceStats -> DeviceStats -> Bool # (/=) :: DeviceStats -> DeviceStats -> Bool #
Read DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Methods readsPrec :: Int -> ReadS DeviceStats # readList :: ReadS [DeviceStats] # readPrec :: ReadPrec DeviceStats # readListPrec :: ReadPrec [DeviceStats] #
Show DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Methods showsPrec :: Int -> DeviceStats -> ShowS # show :: DeviceStats -> String # showList :: [DeviceStats] -> ShowS #
Generic DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Associated Types type Rep DeviceStats :: Type -> Type # Methods from :: DeviceStats -> Rep DeviceStats x # to :: Rep DeviceStats x -> DeviceStats #
NFData DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Methods rnf :: DeviceStats -> () #
Hashable DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Methods hashWithSalt :: Int -> DeviceStats -> Int # hash :: DeviceStats -> Int #
FromJSON DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats Methods parseJSON :: Value -> Parser DeviceStats # parseJSONList :: Value -> Parser [DeviceStats] #
type Rep DeviceStats Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceStats type Rep DeviceStats = D1 ('MetaData "DeviceStats" "Amazonka.SageMaker.Types.DeviceStats" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DeviceStats'" 'PrefixI 'True) (S1 ('MetaSel ('Just "connectedDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer) :*: S1 ('MetaSel ('Just "registeredDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))

newDeviceStats Source #

Arguments

:: Integer	`$sel:connectedDeviceCount:DeviceStats'`
-> Integer	`$sel:registeredDeviceCount:DeviceStats'`
-> DeviceStats

Create a value of DeviceStats with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:connectedDeviceCount:DeviceStats', deviceStats_connectedDeviceCount - The number of devices connected with a heartbeat.

$sel:registeredDeviceCount:DeviceStats', deviceStats_registeredDeviceCount - The number of registered devices.

deviceStats_connectedDeviceCount :: Lens' DeviceStats Integer Source #

The number of devices connected with a heartbeat.

deviceStats_registeredDeviceCount :: Lens' DeviceStats Integer Source #

The number of registered devices.

DeviceSummary

data DeviceSummary Source #

Summary of the device.

See: newDeviceSummary smart constructor.

Constructors

DeviceSummary'

Fields

registrationTime :: Maybe POSIX
The timestamp of the last registration or de-reregistration.
models :: Maybe [EdgeModelSummary]
Models on the device.
latestHeartbeat :: Maybe POSIX
The last heartbeat received from the device.
description :: Maybe Text
A description of the device.
deviceFleetName :: Maybe Text
The name of the fleet the device belongs to.
iotThingName :: Maybe Text
The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..
deviceName :: Text
The unique identifier of the device.
deviceArn :: Text
Amazon Resource Name (ARN) of the device.

Instances

Instances details

Eq DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Methods (==) :: DeviceSummary -> DeviceSummary -> Bool # (/=) :: DeviceSummary -> DeviceSummary -> Bool #
Read DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Methods readsPrec :: Int -> ReadS DeviceSummary # readList :: ReadS [DeviceSummary] # readPrec :: ReadPrec DeviceSummary # readListPrec :: ReadPrec [DeviceSummary] #
Show DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Methods showsPrec :: Int -> DeviceSummary -> ShowS # show :: DeviceSummary -> String # showList :: [DeviceSummary] -> ShowS #
Generic DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Associated Types type Rep DeviceSummary :: Type -> Type # Methods from :: DeviceSummary -> Rep DeviceSummary x # to :: Rep DeviceSummary x -> DeviceSummary #
NFData DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Methods rnf :: DeviceSummary -> () #
Hashable DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Methods hashWithSalt :: Int -> DeviceSummary -> Int # hash :: DeviceSummary -> Int #
FromJSON DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary Methods parseJSON :: Value -> Parser DeviceSummary # parseJSONList :: Value -> Parser [DeviceSummary] #
type Rep DeviceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.DeviceSummary type Rep DeviceSummary = D1 ('MetaData "DeviceSummary" "Amazonka.SageMaker.Types.DeviceSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DeviceSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "registrationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "models") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EdgeModelSummary]))) :: (S1 ('MetaSel ('Just "latestHeartbeat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "deviceFleetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "iotThingName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "deviceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDeviceSummary Source #

Arguments

:: Text	`$sel:deviceName:DeviceSummary'`
-> Text	`$sel:deviceArn:DeviceSummary'`
-> DeviceSummary

Create a value of DeviceSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:registrationTime:DeviceSummary', deviceSummary_registrationTime - The timestamp of the last registration or de-reregistration.

$sel:models:DeviceSummary', deviceSummary_models - Models on the device.

$sel:latestHeartbeat:DeviceSummary', deviceSummary_latestHeartbeat - The last heartbeat received from the device.

$sel:description:DeviceSummary', deviceSummary_description - A description of the device.

$sel:deviceFleetName:DeviceSummary', deviceSummary_deviceFleetName - The name of the fleet the device belongs to.

$sel:iotThingName:DeviceSummary', deviceSummary_iotThingName - The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..

$sel:deviceName:DeviceSummary', deviceSummary_deviceName - The unique identifier of the device.

$sel:deviceArn:DeviceSummary', deviceSummary_deviceArn - Amazon Resource Name (ARN) of the device.

deviceSummary_registrationTime :: Lens' DeviceSummary (Maybe UTCTime) Source #

The timestamp of the last registration or de-reregistration.

deviceSummary_models :: Lens' DeviceSummary (Maybe [EdgeModelSummary]) Source #

Models on the device.

deviceSummary_latestHeartbeat :: Lens' DeviceSummary (Maybe UTCTime) Source #

The last heartbeat received from the device.

deviceSummary_description :: Lens' DeviceSummary (Maybe Text) Source #

A description of the device.

deviceSummary_deviceFleetName :: Lens' DeviceSummary (Maybe Text) Source #

The name of the fleet the device belongs to.

deviceSummary_iotThingName :: Lens' DeviceSummary (Maybe Text) Source #

The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..

deviceSummary_deviceName :: Lens' DeviceSummary Text Source #

The unique identifier of the device.

deviceSummary_deviceArn :: Lens' DeviceSummary Text Source #

Amazon Resource Name (ARN) of the device.

DomainDetails

data DomainDetails Source #

The domain's details.

See: newDomainDetails smart constructor.

Constructors

DomainDetails'
Fields creationTime :: Maybe POSIX The creation time. status :: Maybe DomainStatus The status. domainArn :: Maybe Text The domain's Amazon Resource Name (ARN). url :: Maybe Text The domain's URL. lastModifiedTime :: Maybe POSIX The last modified time. domainName :: Maybe Text The domain name. domainId :: Maybe Text The domain ID.

Instances

Instances details

Eq DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Methods (==) :: DomainDetails -> DomainDetails -> Bool # (/=) :: DomainDetails -> DomainDetails -> Bool #
Read DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Methods readsPrec :: Int -> ReadS DomainDetails # readList :: ReadS [DomainDetails] # readPrec :: ReadPrec DomainDetails # readListPrec :: ReadPrec [DomainDetails] #
Show DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Methods showsPrec :: Int -> DomainDetails -> ShowS # show :: DomainDetails -> String # showList :: [DomainDetails] -> ShowS #
Generic DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Associated Types type Rep DomainDetails :: Type -> Type # Methods from :: DomainDetails -> Rep DomainDetails x # to :: Rep DomainDetails x -> DomainDetails #
NFData DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Methods rnf :: DomainDetails -> () #
Hashable DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Methods hashWithSalt :: Int -> DomainDetails -> Int # hash :: DomainDetails -> Int #
FromJSON DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails Methods parseJSON :: Value -> Parser DomainDetails # parseJSONList :: Value -> Parser [DomainDetails] #
type Rep DomainDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.DomainDetails type Rep DomainDetails = D1 ('MetaData "DomainDetails" "Amazonka.SageMaker.Types.DomainDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "DomainDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DomainStatus)) :: S1 ('MetaSel ('Just "domainArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "url") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "domainName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDomainDetails :: DomainDetails Source #

Create a value of DomainDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:DomainDetails', domainDetails_creationTime - The creation time.

$sel:status:DomainDetails', domainDetails_status - The status.

$sel:domainArn:DomainDetails', domainDetails_domainArn - The domain's Amazon Resource Name (ARN).

$sel:url:DomainDetails', domainDetails_url - The domain's URL.

$sel:lastModifiedTime:DomainDetails', domainDetails_lastModifiedTime - The last modified time.

$sel:domainName:DomainDetails', domainDetails_domainName - The domain name.

$sel:domainId:DomainDetails', domainDetails_domainId - The domain ID.

domainDetails_creationTime :: Lens' DomainDetails (Maybe UTCTime) Source #

The creation time.

domainDetails_status :: Lens' DomainDetails (Maybe DomainStatus) Source #

The status.

domainDetails_domainArn :: Lens' DomainDetails (Maybe Text) Source #

The domain's Amazon Resource Name (ARN).

domainDetails_url :: Lens' DomainDetails (Maybe Text) Source #

The domain's URL.

domainDetails_lastModifiedTime :: Lens' DomainDetails (Maybe UTCTime) Source #

The last modified time.

domainDetails_domainName :: Lens' DomainDetails (Maybe Text) Source #

The domain name.

domainDetails_domainId :: Lens' DomainDetails (Maybe Text) Source #

The domain ID.

EdgeModel

data EdgeModel Source #

The model on the edge device.

See: newEdgeModel smart constructor.

Constructors

EdgeModel'
Fields latestInference :: Maybe POSIX The timestamp of the last inference that was made. latestSampleTime :: Maybe POSIX The timestamp of the last data sample taken. modelName :: Text The name of the model. modelVersion :: Text The model version.

Instances

Instances details

Eq EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Methods (==) :: EdgeModel -> EdgeModel -> Bool # (/=) :: EdgeModel -> EdgeModel -> Bool #
Read EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Methods readsPrec :: Int -> ReadS EdgeModel # readList :: ReadS [EdgeModel] # readPrec :: ReadPrec EdgeModel # readListPrec :: ReadPrec [EdgeModel] #
Show EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Methods showsPrec :: Int -> EdgeModel -> ShowS # show :: EdgeModel -> String # showList :: [EdgeModel] -> ShowS #
Generic EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Associated Types type Rep EdgeModel :: Type -> Type # Methods from :: EdgeModel -> Rep EdgeModel x # to :: Rep EdgeModel x -> EdgeModel #
NFData EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Methods rnf :: EdgeModel -> () #
Hashable EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Methods hashWithSalt :: Int -> EdgeModel -> Int # hash :: EdgeModel -> Int #
FromJSON EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel Methods parseJSON :: Value -> Parser EdgeModel # parseJSONList :: Value -> Parser [EdgeModel] #
type Rep EdgeModel Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModel type Rep EdgeModel = D1 ('MetaData "EdgeModel" "Amazonka.SageMaker.Types.EdgeModel" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EdgeModel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "latestInference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "latestSampleTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newEdgeModel Source #

Arguments

:: Text	`$sel:modelName:EdgeModel'`
-> Text	`$sel:modelVersion:EdgeModel'`
-> EdgeModel

Create a value of EdgeModel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:latestInference:EdgeModel', edgeModel_latestInference - The timestamp of the last inference that was made.

$sel:latestSampleTime:EdgeModel', edgeModel_latestSampleTime - The timestamp of the last data sample taken.

$sel:modelName:EdgeModel', edgeModel_modelName - The name of the model.

$sel:modelVersion:EdgeModel', edgeModel_modelVersion - The model version.

edgeModel_latestInference :: Lens' EdgeModel (Maybe UTCTime) Source #

The timestamp of the last inference that was made.

edgeModel_latestSampleTime :: Lens' EdgeModel (Maybe UTCTime) Source #

The timestamp of the last data sample taken.

edgeModel_modelName :: Lens' EdgeModel Text Source #

The name of the model.

edgeModel_modelVersion :: Lens' EdgeModel Text Source #

The model version.

EdgeModelStat

data EdgeModelStat Source #

Status of edge devices with this model.

See: newEdgeModelStat smart constructor.

Constructors

EdgeModelStat'

Fields

modelName :: Text
The name of the model.
modelVersion :: Text
The model version.
offlineDeviceCount :: Integer
The number of devices that have this model version and do not have a heart beat.
connectedDeviceCount :: Integer
The number of devices that have this model version and have a heart beat.
activeDeviceCount :: Integer
The number of devices that have this model version, a heart beat, and are currently running.
samplingDeviceCount :: Integer
The number of devices with this model version and are producing sample data.

Instances

Instances details

Eq EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Methods (==) :: EdgeModelStat -> EdgeModelStat -> Bool # (/=) :: EdgeModelStat -> EdgeModelStat -> Bool #
Read EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Methods readsPrec :: Int -> ReadS EdgeModelStat # readList :: ReadS [EdgeModelStat] # readPrec :: ReadPrec EdgeModelStat # readListPrec :: ReadPrec [EdgeModelStat] #
Show EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Methods showsPrec :: Int -> EdgeModelStat -> ShowS # show :: EdgeModelStat -> String # showList :: [EdgeModelStat] -> ShowS #
Generic EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Associated Types type Rep EdgeModelStat :: Type -> Type # Methods from :: EdgeModelStat -> Rep EdgeModelStat x # to :: Rep EdgeModelStat x -> EdgeModelStat #
NFData EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Methods rnf :: EdgeModelStat -> () #
Hashable EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Methods hashWithSalt :: Int -> EdgeModelStat -> Int # hash :: EdgeModelStat -> Int #
FromJSON EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat Methods parseJSON :: Value -> Parser EdgeModelStat # parseJSONList :: Value -> Parser [EdgeModelStat] #
type Rep EdgeModelStat Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelStat type Rep EdgeModelStat = D1 ('MetaData "EdgeModelStat" "Amazonka.SageMaker.Types.EdgeModelStat" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EdgeModelStat'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "offlineDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer))) :: (S1 ('MetaSel ('Just "connectedDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer) :: (S1 ('MetaSel ('Just "activeDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer) :*: S1 ('MetaSel ('Just "samplingDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))))

newEdgeModelStat Source #

Arguments

:: Text	`$sel:modelName:EdgeModelStat'`
-> Text	`$sel:modelVersion:EdgeModelStat'`
-> Integer	`$sel:offlineDeviceCount:EdgeModelStat'`
-> Integer	`$sel:connectedDeviceCount:EdgeModelStat'`
-> Integer	`$sel:activeDeviceCount:EdgeModelStat'`
-> Integer	`$sel:samplingDeviceCount:EdgeModelStat'`
-> EdgeModelStat

Create a value of EdgeModelStat with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:EdgeModelStat', edgeModelStat_modelName - The name of the model.

$sel:modelVersion:EdgeModelStat', edgeModelStat_modelVersion - The model version.

$sel:offlineDeviceCount:EdgeModelStat', edgeModelStat_offlineDeviceCount - The number of devices that have this model version and do not have a heart beat.

$sel:connectedDeviceCount:EdgeModelStat', edgeModelStat_connectedDeviceCount - The number of devices that have this model version and have a heart beat.

$sel:activeDeviceCount:EdgeModelStat', edgeModelStat_activeDeviceCount - The number of devices that have this model version, a heart beat, and are currently running.

$sel:samplingDeviceCount:EdgeModelStat', edgeModelStat_samplingDeviceCount - The number of devices with this model version and are producing sample data.

edgeModelStat_modelName :: Lens' EdgeModelStat Text Source #

The name of the model.

edgeModelStat_modelVersion :: Lens' EdgeModelStat Text Source #

The model version.

edgeModelStat_offlineDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices that have this model version and do not have a heart beat.

edgeModelStat_connectedDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices that have this model version and have a heart beat.

edgeModelStat_activeDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices that have this model version, a heart beat, and are currently running.

edgeModelStat_samplingDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices with this model version and are producing sample data.

EdgeModelSummary

data EdgeModelSummary Source #

Summary of model on edge device.

See: newEdgeModelSummary smart constructor.

Constructors

EdgeModelSummary'
Fields modelName :: Text The name of the model. modelVersion :: Text The version model.

Instances

Instances details

Eq EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Methods (==) :: EdgeModelSummary -> EdgeModelSummary -> Bool # (/=) :: EdgeModelSummary -> EdgeModelSummary -> Bool #
Read EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Methods readsPrec :: Int -> ReadS EdgeModelSummary # readList :: ReadS [EdgeModelSummary] # readPrec :: ReadPrec EdgeModelSummary # readListPrec :: ReadPrec [EdgeModelSummary] #
Show EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Methods showsPrec :: Int -> EdgeModelSummary -> ShowS # show :: EdgeModelSummary -> String # showList :: [EdgeModelSummary] -> ShowS #
Generic EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Associated Types type Rep EdgeModelSummary :: Type -> Type # Methods from :: EdgeModelSummary -> Rep EdgeModelSummary x # to :: Rep EdgeModelSummary x -> EdgeModelSummary #
NFData EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Methods rnf :: EdgeModelSummary -> () #
Hashable EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Methods hashWithSalt :: Int -> EdgeModelSummary -> Int # hash :: EdgeModelSummary -> Int #
FromJSON EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary Methods parseJSON :: Value -> Parser EdgeModelSummary # parseJSONList :: Value -> Parser [EdgeModelSummary] #
type Rep EdgeModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeModelSummary type Rep EdgeModelSummary = D1 ('MetaData "EdgeModelSummary" "Amazonka.SageMaker.Types.EdgeModelSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EdgeModelSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newEdgeModelSummary Source #

Arguments

:: Text	`$sel:modelName:EdgeModelSummary'`
-> Text	`$sel:modelVersion:EdgeModelSummary'`
-> EdgeModelSummary

Create a value of EdgeModelSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:EdgeModelSummary', edgeModelSummary_modelName - The name of the model.

$sel:modelVersion:EdgeModelSummary', edgeModelSummary_modelVersion - The version model.

edgeModelSummary_modelName :: Lens' EdgeModelSummary Text Source #

The name of the model.

edgeModelSummary_modelVersion :: Lens' EdgeModelSummary Text Source #

The version model.

EdgeOutputConfig

data EdgeOutputConfig Source #

The output configuration.

See: newEdgeOutputConfig smart constructor.

Constructors

EdgeOutputConfig'

Fields

presetDeploymentType :: Maybe EdgePresetDeploymentType
The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.
kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.
presetDeploymentConfig :: Maybe Text
The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:
- ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
- ComponentDescription (optional) - Description of the component.
- ComponentVersion (optional) - The version of the component.
  Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.
- PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.
- PlatformArchitecture (optional) - The processor architecture for the platform.
  Supported architectures Windows include: Windows32_x86, Windows64_x64.
  Supported architectures for Linux include: Linux x86_64, Linux ARMV8.
s3OutputLocation :: Text
The Amazon Simple Storage (S3) bucker URI.

Instances

Instances details

Eq EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods (==) :: EdgeOutputConfig -> EdgeOutputConfig -> Bool # (/=) :: EdgeOutputConfig -> EdgeOutputConfig -> Bool #
Read EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods readsPrec :: Int -> ReadS EdgeOutputConfig # readList :: ReadS [EdgeOutputConfig] # readPrec :: ReadPrec EdgeOutputConfig # readListPrec :: ReadPrec [EdgeOutputConfig] #
Show EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods showsPrec :: Int -> EdgeOutputConfig -> ShowS # show :: EdgeOutputConfig -> String # showList :: [EdgeOutputConfig] -> ShowS #
Generic EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Associated Types type Rep EdgeOutputConfig :: Type -> Type # Methods from :: EdgeOutputConfig -> Rep EdgeOutputConfig x # to :: Rep EdgeOutputConfig x -> EdgeOutputConfig #
NFData EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods rnf :: EdgeOutputConfig -> () #
Hashable EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods hashWithSalt :: Int -> EdgeOutputConfig -> Int # hash :: EdgeOutputConfig -> Int #
ToJSON EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods toJSON :: EdgeOutputConfig -> Value # toEncoding :: EdgeOutputConfig -> Encoding # toJSONList :: [EdgeOutputConfig] -> Value # toEncodingList :: [EdgeOutputConfig] -> Encoding #
FromJSON EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig Methods parseJSON :: Value -> Parser EdgeOutputConfig # parseJSONList :: Value -> Parser [EdgeOutputConfig] #
type Rep EdgeOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgeOutputConfig type Rep EdgeOutputConfig = D1 ('MetaData "EdgeOutputConfig" "Amazonka.SageMaker.Types.EdgeOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EdgeOutputConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "presetDeploymentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EdgePresetDeploymentType)) :: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "presetDeploymentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newEdgeOutputConfig Source #

Arguments

:: Text	`$sel:s3OutputLocation:EdgeOutputConfig'`
-> EdgeOutputConfig

Create a value of EdgeOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:presetDeploymentType:EdgeOutputConfig', edgeOutputConfig_presetDeploymentType - The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

$sel:kmsKeyId:EdgeOutputConfig', edgeOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.

$sel:presetDeploymentConfig:EdgeOutputConfig', edgeOutputConfig_presetDeploymentConfig - The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:

ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
ComponentDescription (optional) - Description of the component.
ComponentVersion (optional) - The version of the component.
Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.
PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.
PlatformArchitecture (optional) - The processor architecture for the platform.
Supported architectures Windows include: Windows32_x86, Windows64_x64.
Supported architectures for Linux include: Linux x86_64, Linux ARMV8.

$sel:s3OutputLocation:EdgeOutputConfig', edgeOutputConfig_s3OutputLocation - The Amazon Simple Storage (S3) bucker URI.

edgeOutputConfig_presetDeploymentType :: Lens' EdgeOutputConfig (Maybe EdgePresetDeploymentType) Source #

The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

edgeOutputConfig_kmsKeyId :: Lens' EdgeOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.

edgeOutputConfig_presetDeploymentConfig :: Lens' EdgeOutputConfig (Maybe Text) Source #

The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:

ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
ComponentDescription (optional) - Description of the component.
ComponentVersion (optional) - The version of the component.
Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.
PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.
PlatformArchitecture (optional) - The processor architecture for the platform.
Supported architectures Windows include: Windows32_x86, Windows64_x64.
Supported architectures for Linux include: Linux x86_64, Linux ARMV8.

edgeOutputConfig_s3OutputLocation :: Lens' EdgeOutputConfig Text Source #

The Amazon Simple Storage (S3) bucker URI.

EdgePackagingJobSummary

data EdgePackagingJobSummary Source #

Summary of edge packaging job.

See: newEdgePackagingJobSummary smart constructor.

Constructors

EdgePackagingJobSummary'

Fields

creationTime :: Maybe POSIX
The timestamp of when the job was created.
modelName :: Maybe Text
The name of the model.
lastModifiedTime :: Maybe POSIX
The timestamp of when the edge packaging job was last updated.
compilationJobName :: Maybe Text
The name of the SageMaker Neo compilation job.
modelVersion :: Maybe Text
The version of the model.
edgePackagingJobArn :: Text
The Amazon Resource Name (ARN) of the edge packaging job.
edgePackagingJobName :: Text
The name of the edge packaging job.
edgePackagingJobStatus :: EdgePackagingJobStatus
The status of the edge packaging job.

Instances

Instances details

Eq EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Methods (==) :: EdgePackagingJobSummary -> EdgePackagingJobSummary -> Bool # (/=) :: EdgePackagingJobSummary -> EdgePackagingJobSummary -> Bool #
Read EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Methods readsPrec :: Int -> ReadS EdgePackagingJobSummary # readList :: ReadS [EdgePackagingJobSummary] # readPrec :: ReadPrec EdgePackagingJobSummary # readListPrec :: ReadPrec [EdgePackagingJobSummary] #
Show EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Methods showsPrec :: Int -> EdgePackagingJobSummary -> ShowS # show :: EdgePackagingJobSummary -> String # showList :: [EdgePackagingJobSummary] -> ShowS #
Generic EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Associated Types type Rep EdgePackagingJobSummary :: Type -> Type # Methods from :: EdgePackagingJobSummary -> Rep EdgePackagingJobSummary x # to :: Rep EdgePackagingJobSummary x -> EdgePackagingJobSummary #
NFData EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Methods rnf :: EdgePackagingJobSummary -> () #
Hashable EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Methods hashWithSalt :: Int -> EdgePackagingJobSummary -> Int # hash :: EdgePackagingJobSummary -> Int #
FromJSON EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary Methods parseJSON :: Value -> Parser EdgePackagingJobSummary # parseJSONList :: Value -> Parser [EdgePackagingJobSummary] #
type Rep EdgePackagingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary type Rep EdgePackagingJobSummary = D1 ('MetaData "EdgePackagingJobSummary" "Amazonka.SageMaker.Types.EdgePackagingJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EdgePackagingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "compilationJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "edgePackagingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "edgePackagingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "edgePackagingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EdgePackagingJobStatus)))))

newEdgePackagingJobSummary Source #

Arguments

:: Text	`$sel:edgePackagingJobArn:EdgePackagingJobSummary'`
-> Text	`$sel:edgePackagingJobName:EdgePackagingJobSummary'`
-> EdgePackagingJobStatus	`$sel:edgePackagingJobStatus:EdgePackagingJobSummary'`
-> EdgePackagingJobSummary

Create a value of EdgePackagingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:EdgePackagingJobSummary', edgePackagingJobSummary_creationTime - The timestamp of when the job was created.

$sel:modelName:EdgePackagingJobSummary', edgePackagingJobSummary_modelName - The name of the model.

$sel:lastModifiedTime:EdgePackagingJobSummary', edgePackagingJobSummary_lastModifiedTime - The timestamp of when the edge packaging job was last updated.

$sel:compilationJobName:EdgePackagingJobSummary', edgePackagingJobSummary_compilationJobName - The name of the SageMaker Neo compilation job.

$sel:modelVersion:EdgePackagingJobSummary', edgePackagingJobSummary_modelVersion - The version of the model.

$sel:edgePackagingJobArn:EdgePackagingJobSummary', edgePackagingJobSummary_edgePackagingJobArn - The Amazon Resource Name (ARN) of the edge packaging job.

$sel:edgePackagingJobName:EdgePackagingJobSummary', edgePackagingJobSummary_edgePackagingJobName - The name of the edge packaging job.

$sel:edgePackagingJobStatus:EdgePackagingJobSummary', edgePackagingJobSummary_edgePackagingJobStatus - The status of the edge packaging job.

edgePackagingJobSummary_creationTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime) Source #

The timestamp of when the job was created.

edgePackagingJobSummary_modelName :: Lens' EdgePackagingJobSummary (Maybe Text) Source #

The name of the model.

edgePackagingJobSummary_lastModifiedTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime) Source #

The timestamp of when the edge packaging job was last updated.

edgePackagingJobSummary_compilationJobName :: Lens' EdgePackagingJobSummary (Maybe Text) Source #

The name of the SageMaker Neo compilation job.

edgePackagingJobSummary_modelVersion :: Lens' EdgePackagingJobSummary (Maybe Text) Source #

The version of the model.

edgePackagingJobSummary_edgePackagingJobArn :: Lens' EdgePackagingJobSummary Text Source #

The Amazon Resource Name (ARN) of the edge packaging job.

edgePackagingJobSummary_edgePackagingJobName :: Lens' EdgePackagingJobSummary Text Source #

The name of the edge packaging job.

edgePackagingJobSummary_edgePackagingJobStatus :: Lens' EdgePackagingJobSummary EdgePackagingJobStatus Source #

The status of the edge packaging job.

EdgePresetDeploymentOutput

data EdgePresetDeploymentOutput Source #

The output of a SageMaker Edge Manager deployable resource.

See: newEdgePresetDeploymentOutput smart constructor.

Constructors

EdgePresetDeploymentOutput'

Fields

status :: Maybe EdgePresetDeploymentStatus
The status of the deployable resource.
artifact :: Maybe Text
The Amazon Resource Name (ARN) of the generated deployable resource.
statusMessage :: Maybe Text
Returns a message describing the status of the deployed resource.
type' :: EdgePresetDeploymentType
The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

Instances

Instances details

Eq EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Methods (==) :: EdgePresetDeploymentOutput -> EdgePresetDeploymentOutput -> Bool # (/=) :: EdgePresetDeploymentOutput -> EdgePresetDeploymentOutput -> Bool #
Read EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Methods readsPrec :: Int -> ReadS EdgePresetDeploymentOutput # readList :: ReadS [EdgePresetDeploymentOutput] # readPrec :: ReadPrec EdgePresetDeploymentOutput # readListPrec :: ReadPrec [EdgePresetDeploymentOutput] #
Show EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Methods showsPrec :: Int -> EdgePresetDeploymentOutput -> ShowS # show :: EdgePresetDeploymentOutput -> String # showList :: [EdgePresetDeploymentOutput] -> ShowS #
Generic EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Associated Types type Rep EdgePresetDeploymentOutput :: Type -> Type # Methods from :: EdgePresetDeploymentOutput -> Rep EdgePresetDeploymentOutput x # to :: Rep EdgePresetDeploymentOutput x -> EdgePresetDeploymentOutput #
NFData EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Methods rnf :: EdgePresetDeploymentOutput -> () #
Hashable EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Methods hashWithSalt :: Int -> EdgePresetDeploymentOutput -> Int # hash :: EdgePresetDeploymentOutput -> Int #
FromJSON EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput Methods parseJSON :: Value -> Parser EdgePresetDeploymentOutput # parseJSONList :: Value -> Parser [EdgePresetDeploymentOutput] #
type Rep EdgePresetDeploymentOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput type Rep EdgePresetDeploymentOutput = D1 ('MetaData "EdgePresetDeploymentOutput" "Amazonka.SageMaker.Types.EdgePresetDeploymentOutput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EdgePresetDeploymentOutput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EdgePresetDeploymentStatus)) :: S1 ('MetaSel ('Just "artifact") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EdgePresetDeploymentType))))

newEdgePresetDeploymentOutput Source #

Arguments

:: EdgePresetDeploymentType	`$sel:type':EdgePresetDeploymentOutput'`
-> EdgePresetDeploymentOutput

Create a value of EdgePresetDeploymentOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:status:EdgePresetDeploymentOutput', edgePresetDeploymentOutput_status - The status of the deployable resource.

$sel:artifact:EdgePresetDeploymentOutput', edgePresetDeploymentOutput_artifact - The Amazon Resource Name (ARN) of the generated deployable resource.

$sel:statusMessage:EdgePresetDeploymentOutput', edgePresetDeploymentOutput_statusMessage - Returns a message describing the status of the deployed resource.

$sel:type':EdgePresetDeploymentOutput', edgePresetDeploymentOutput_type - The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

edgePresetDeploymentOutput_status :: Lens' EdgePresetDeploymentOutput (Maybe EdgePresetDeploymentStatus) Source #

The status of the deployable resource.

edgePresetDeploymentOutput_artifact :: Lens' EdgePresetDeploymentOutput (Maybe Text) Source #

The Amazon Resource Name (ARN) of the generated deployable resource.

edgePresetDeploymentOutput_statusMessage :: Lens' EdgePresetDeploymentOutput (Maybe Text) Source #

Returns a message describing the status of the deployed resource.

edgePresetDeploymentOutput_type :: Lens' EdgePresetDeploymentOutput EdgePresetDeploymentType Source #

The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

Endpoint

data Endpoint Source #

A hosted endpoint for real-time inference.

See: newEndpoint smart constructor.

Constructors

Endpoint'

Fields

failureReason :: Maybe Text
If the endpoint failed, the reason it failed.
productionVariants :: Maybe (NonEmpty ProductionVariantSummary)
A list of the production variants hosted on the endpoint. Each production variant is a model.
monitoringSchedules :: Maybe [MonitoringSchedule]
A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.
dataCaptureConfig :: Maybe DataCaptureConfigSummary
tags :: Maybe [Tag]
A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
endpointName :: Text
The name of the endpoint.
endpointArn :: Text
The Amazon Resource Name (ARN) of the endpoint.
endpointConfigName :: Text
The endpoint configuration associated with the endpoint.
endpointStatus :: EndpointStatus
The status of the endpoint.
creationTime :: POSIX
The time that the endpoint was created.
lastModifiedTime :: POSIX
The last time the endpoint was modified.

Instances

Instances details

Eq Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Methods (==) :: Endpoint -> Endpoint -> Bool # (/=) :: Endpoint -> Endpoint -> Bool #
Read Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Methods readsPrec :: Int -> ReadS Endpoint # readList :: ReadS [Endpoint] # readPrec :: ReadPrec Endpoint # readListPrec :: ReadPrec [Endpoint] #
Show Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Methods showsPrec :: Int -> Endpoint -> ShowS # show :: Endpoint -> String # showList :: [Endpoint] -> ShowS #
Generic Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Associated Types type Rep Endpoint :: Type -> Type # Methods from :: Endpoint -> Rep Endpoint x # to :: Rep Endpoint x -> Endpoint #
NFData Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Methods rnf :: Endpoint -> () #
Hashable Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Methods hashWithSalt :: Int -> Endpoint -> Int # hash :: Endpoint -> Int #
FromJSON Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint Methods parseJSON :: Value -> Parser Endpoint # parseJSONList :: Value -> Parser [Endpoint] #
type Rep Endpoint Source #
Instance details Defined in Amazonka.SageMaker.Types.Endpoint type Rep Endpoint = D1 ('MetaData "Endpoint" "Amazonka.SageMaker.Types.Endpoint" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Endpoint'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "productionVariants") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ProductionVariantSummary)))) :: (S1 ('MetaSel ('Just "monitoringSchedules") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MonitoringSchedule])) :: (S1 ('MetaSel ('Just "dataCaptureConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataCaptureConfigSummary)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))))) :: ((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "endpointArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "endpointConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointStatus) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newEndpoint Source #

Arguments

:: Text	`$sel:endpointName:Endpoint'`
-> Text	`$sel:endpointArn:Endpoint'`
-> Text	`$sel:endpointConfigName:Endpoint'`
-> EndpointStatus	`$sel:endpointStatus:Endpoint'`
-> UTCTime	`$sel:creationTime:Endpoint'`
-> UTCTime	`$sel:lastModifiedTime:Endpoint'`
-> Endpoint

Create a value of Endpoint with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:Endpoint', endpoint_failureReason - If the endpoint failed, the reason it failed.

$sel:productionVariants:Endpoint', endpoint_productionVariants - A list of the production variants hosted on the endpoint. Each production variant is a model.

$sel:monitoringSchedules:Endpoint', endpoint_monitoringSchedules - A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.

$sel:dataCaptureConfig:Endpoint', endpoint_dataCaptureConfig - Undocumented member.

$sel:tags:Endpoint', endpoint_tags - A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

$sel:endpointName:Endpoint', endpoint_endpointName - The name of the endpoint.

$sel:endpointArn:Endpoint', endpoint_endpointArn - The Amazon Resource Name (ARN) of the endpoint.

$sel:endpointConfigName:Endpoint', endpoint_endpointConfigName - The endpoint configuration associated with the endpoint.

$sel:endpointStatus:Endpoint', endpoint_endpointStatus - The status of the endpoint.

$sel:creationTime:Endpoint', endpoint_creationTime - The time that the endpoint was created.

$sel:lastModifiedTime:Endpoint', endpoint_lastModifiedTime - The last time the endpoint was modified.

endpoint_failureReason :: Lens' Endpoint (Maybe Text) Source #

If the endpoint failed, the reason it failed.

endpoint_productionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary)) Source #

A list of the production variants hosted on the endpoint. Each production variant is a model.

endpoint_monitoringSchedules :: Lens' Endpoint (Maybe [MonitoringSchedule]) Source #

A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.

endpoint_dataCaptureConfig :: Lens' Endpoint (Maybe DataCaptureConfigSummary) Source #

Undocumented member.

endpoint_tags :: Lens' Endpoint (Maybe [Tag]) Source #

A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

endpoint_endpointName :: Lens' Endpoint Text Source #

The name of the endpoint.

endpoint_endpointArn :: Lens' Endpoint Text Source #

The Amazon Resource Name (ARN) of the endpoint.

endpoint_endpointConfigName :: Lens' Endpoint Text Source #

The endpoint configuration associated with the endpoint.

endpoint_endpointStatus :: Lens' Endpoint EndpointStatus Source #

The status of the endpoint.

endpoint_creationTime :: Lens' Endpoint UTCTime Source #

The time that the endpoint was created.

endpoint_lastModifiedTime :: Lens' Endpoint UTCTime Source #

The last time the endpoint was modified.

EndpointConfigSummary

data EndpointConfigSummary Source #

Provides summary information for an endpoint configuration.

See: newEndpointConfigSummary smart constructor.

Constructors

EndpointConfigSummary'
Fields endpointConfigName :: Text The name of the endpoint configuration. endpointConfigArn :: Text The Amazon Resource Name (ARN) of the endpoint configuration. creationTime :: POSIX A timestamp that shows when the endpoint configuration was created.

Instances

Instances details

Eq EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Methods (==) :: EndpointConfigSummary -> EndpointConfigSummary -> Bool # (/=) :: EndpointConfigSummary -> EndpointConfigSummary -> Bool #
Read EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Methods readsPrec :: Int -> ReadS EndpointConfigSummary # readList :: ReadS [EndpointConfigSummary] # readPrec :: ReadPrec EndpointConfigSummary # readListPrec :: ReadPrec [EndpointConfigSummary] #
Show EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Methods showsPrec :: Int -> EndpointConfigSummary -> ShowS # show :: EndpointConfigSummary -> String # showList :: [EndpointConfigSummary] -> ShowS #
Generic EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Associated Types type Rep EndpointConfigSummary :: Type -> Type # Methods from :: EndpointConfigSummary -> Rep EndpointConfigSummary x # to :: Rep EndpointConfigSummary x -> EndpointConfigSummary #
NFData EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Methods rnf :: EndpointConfigSummary -> () #
Hashable EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Methods hashWithSalt :: Int -> EndpointConfigSummary -> Int # hash :: EndpointConfigSummary -> Int #
FromJSON EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary Methods parseJSON :: Value -> Parser EndpointConfigSummary # parseJSONList :: Value -> Parser [EndpointConfigSummary] #
type Rep EndpointConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointConfigSummary type Rep EndpointConfigSummary = D1 ('MetaData "EndpointConfigSummary" "Amazonka.SageMaker.Types.EndpointConfigSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EndpointConfigSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "endpointConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newEndpointConfigSummary Source #

Arguments

:: Text	`$sel:endpointConfigName:EndpointConfigSummary'`
-> Text	`$sel:endpointConfigArn:EndpointConfigSummary'`
-> UTCTime	`$sel:creationTime:EndpointConfigSummary'`
-> EndpointConfigSummary

Create a value of EndpointConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointConfigName:EndpointConfigSummary', endpointConfigSummary_endpointConfigName - The name of the endpoint configuration.

$sel:endpointConfigArn:EndpointConfigSummary', endpointConfigSummary_endpointConfigArn - The Amazon Resource Name (ARN) of the endpoint configuration.

$sel:creationTime:EndpointConfigSummary', endpointConfigSummary_creationTime - A timestamp that shows when the endpoint configuration was created.

endpointConfigSummary_endpointConfigName :: Lens' EndpointConfigSummary Text Source #

The name of the endpoint configuration.

endpointConfigSummary_endpointConfigArn :: Lens' EndpointConfigSummary Text Source #

The Amazon Resource Name (ARN) of the endpoint configuration.

endpointConfigSummary_creationTime :: Lens' EndpointConfigSummary UTCTime Source #

A timestamp that shows when the endpoint configuration was created.

EndpointInput

data EndpointInput Source #

Input object for the endpoint

See: newEndpointInput smart constructor.

Constructors

EndpointInput'

Fields

inferenceAttribute :: Maybe Text
The attribute of the input data that represents the ground truth label.
s3DataDistributionType :: Maybe ProcessingS3DataDistributionType
Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated
s3InputMode :: Maybe ProcessingS3InputMode
Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
startTimeOffset :: Maybe Text
If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
featuresAttribute :: Maybe Text
The attributes of the input data that are the input features.
endTimeOffset :: Maybe Text
If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.
probabilityThresholdAttribute :: Maybe Double
The threshold for the class probability to be evaluated as a positive result.
probabilityAttribute :: Maybe Text
In a classification problem, the attribute that represents the class probability.
endpointName :: Text
An endpoint in customer's account which has enabled DataCaptureConfig enabled.
localPath :: Text
Path to the filesystem where the endpoint data is available to the container.

Instances

Instances details

Eq EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods (==) :: EndpointInput -> EndpointInput -> Bool # (/=) :: EndpointInput -> EndpointInput -> Bool #
Read EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods readsPrec :: Int -> ReadS EndpointInput # readList :: ReadS [EndpointInput] # readPrec :: ReadPrec EndpointInput # readListPrec :: ReadPrec [EndpointInput] #
Show EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods showsPrec :: Int -> EndpointInput -> ShowS # show :: EndpointInput -> String # showList :: [EndpointInput] -> ShowS #
Generic EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Associated Types type Rep EndpointInput :: Type -> Type # Methods from :: EndpointInput -> Rep EndpointInput x # to :: Rep EndpointInput x -> EndpointInput #
NFData EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods rnf :: EndpointInput -> () #
Hashable EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods hashWithSalt :: Int -> EndpointInput -> Int # hash :: EndpointInput -> Int #
ToJSON EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods toJSON :: EndpointInput -> Value # toEncoding :: EndpointInput -> Encoding # toJSONList :: [EndpointInput] -> Value # toEncodingList :: [EndpointInput] -> Encoding #
FromJSON EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput Methods parseJSON :: Value -> Parser EndpointInput # parseJSONList :: Value -> Parser [EndpointInput] #
type Rep EndpointInput Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointInput type Rep EndpointInput = D1 ('MetaData "EndpointInput" "Amazonka.SageMaker.Types.EndpointInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EndpointInput'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "inferenceAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3DataDistributionType))) :: (S1 ('MetaSel ('Just "s3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3InputMode)) :: (S1 ('MetaSel ('Just "startTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "featuresAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "endTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "probabilityThresholdAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "probabilityAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newEndpointInput Source #

Arguments

:: Text	`$sel:endpointName:EndpointInput'`
-> Text	`$sel:localPath:EndpointInput'`
-> EndpointInput

Create a value of EndpointInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:inferenceAttribute:EndpointInput', endpointInput_inferenceAttribute - The attribute of the input data that represents the ground truth label.

$sel:s3DataDistributionType:EndpointInput', endpointInput_s3DataDistributionType - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

$sel:s3InputMode:EndpointInput', endpointInput_s3InputMode - Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

$sel:startTimeOffset:EndpointInput', endpointInput_startTimeOffset - If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:featuresAttribute:EndpointInput', endpointInput_featuresAttribute - The attributes of the input data that are the input features.

$sel:endTimeOffset:EndpointInput', endpointInput_endTimeOffset - If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:probabilityThresholdAttribute:EndpointInput', endpointInput_probabilityThresholdAttribute - The threshold for the class probability to be evaluated as a positive result.

$sel:probabilityAttribute:EndpointInput', endpointInput_probabilityAttribute - In a classification problem, the attribute that represents the class probability.

$sel:endpointName:EndpointInput', endpointInput_endpointName - An endpoint in customer's account which has enabled DataCaptureConfig enabled.

$sel:localPath:EndpointInput', endpointInput_localPath - Path to the filesystem where the endpoint data is available to the container.

endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text) Source #

The attribute of the input data that represents the ground truth label.

endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType) Source #

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode) Source #

Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text) Source #

The attributes of the input data that are the input features.

endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double) Source #

The threshold for the class probability to be evaluated as a positive result.

endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text) Source #

In a classification problem, the attribute that represents the class probability.

endpointInput_endpointName :: Lens' EndpointInput Text Source #

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

endpointInput_localPath :: Lens' EndpointInput Text Source #

Path to the filesystem where the endpoint data is available to the container.

EndpointSummary

data EndpointSummary Source #

Provides summary information for an endpoint.

See: newEndpointSummary smart constructor.

Constructors

EndpointSummary'

Fields

endpointName :: Text
The name of the endpoint.
endpointArn :: Text
The Amazon Resource Name (ARN) of the endpoint.
creationTime :: POSIX
A timestamp that shows when the endpoint was created.
lastModifiedTime :: POSIX
A timestamp that shows when the endpoint was last modified.
endpointStatus :: EndpointStatus
The status of the endpoint.
- OutOfService: Endpoint is not available to take incoming requests.
- Creating: CreateEndpoint is executing.
- Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
- SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
- RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
- InService: Endpoint is available to process incoming requests.
- Deleting: DeleteEndpoint is executing.
- Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.

Instances

Instances details

Eq EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Methods (==) :: EndpointSummary -> EndpointSummary -> Bool # (/=) :: EndpointSummary -> EndpointSummary -> Bool #
Read EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Methods readsPrec :: Int -> ReadS EndpointSummary # readList :: ReadS [EndpointSummary] # readPrec :: ReadPrec EndpointSummary # readListPrec :: ReadPrec [EndpointSummary] #
Show EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Methods showsPrec :: Int -> EndpointSummary -> ShowS # show :: EndpointSummary -> String # showList :: [EndpointSummary] -> ShowS #
Generic EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Associated Types type Rep EndpointSummary :: Type -> Type # Methods from :: EndpointSummary -> Rep EndpointSummary x # to :: Rep EndpointSummary x -> EndpointSummary #
NFData EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Methods rnf :: EndpointSummary -> () #
Hashable EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Methods hashWithSalt :: Int -> EndpointSummary -> Int # hash :: EndpointSummary -> Int #
FromJSON EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary Methods parseJSON :: Value -> Parser EndpointSummary # parseJSONList :: Value -> Parser [EndpointSummary] #
type Rep EndpointSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.EndpointSummary type Rep EndpointSummary = D1 ('MetaData "EndpointSummary" "Amazonka.SageMaker.Types.EndpointSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "EndpointSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "endpointArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointStatus)))))

newEndpointSummary Source #

Arguments

:: Text	`$sel:endpointName:EndpointSummary'`
-> Text	`$sel:endpointArn:EndpointSummary'`
-> UTCTime	`$sel:creationTime:EndpointSummary'`
-> UTCTime	`$sel:lastModifiedTime:EndpointSummary'`
-> EndpointStatus	`$sel:endpointStatus:EndpointSummary'`
-> EndpointSummary

Create a value of EndpointSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:EndpointSummary', endpointSummary_endpointName - The name of the endpoint.

$sel:endpointArn:EndpointSummary', endpointSummary_endpointArn - The Amazon Resource Name (ARN) of the endpoint.

$sel:creationTime:EndpointSummary', endpointSummary_creationTime - A timestamp that shows when the endpoint was created.

$sel:lastModifiedTime:EndpointSummary', endpointSummary_lastModifiedTime - A timestamp that shows when the endpoint was last modified.

$sel:endpointStatus:EndpointSummary', endpointSummary_endpointStatus - The status of the endpoint.

OutOfService: Endpoint is not available to take incoming requests.
Creating: CreateEndpoint is executing.
Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
InService: Endpoint is available to process incoming requests.
Deleting: DeleteEndpoint is executing.
Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.

To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.

endpointSummary_endpointName :: Lens' EndpointSummary Text Source #

The name of the endpoint.

endpointSummary_endpointArn :: Lens' EndpointSummary Text Source #

The Amazon Resource Name (ARN) of the endpoint.

endpointSummary_creationTime :: Lens' EndpointSummary UTCTime Source #

A timestamp that shows when the endpoint was created.

endpointSummary_lastModifiedTime :: Lens' EndpointSummary UTCTime Source #

A timestamp that shows when the endpoint was last modified.

endpointSummary_endpointStatus :: Lens' EndpointSummary EndpointStatus Source #

The status of the endpoint.

OutOfService: Endpoint is not available to take incoming requests.
Creating: CreateEndpoint is executing.
Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
InService: Endpoint is available to process incoming requests.
Deleting: DeleteEndpoint is executing.
Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.

To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.

Experiment

data Experiment Source #

The properties of an experiment as returned by the Search API.

See: newExperiment smart constructor.

Constructors

Experiment'

Fields

creationTime :: Maybe POSIX
When the experiment was created.
createdBy :: Maybe UserContext
Who created the experiment.
lastModifiedTime :: Maybe POSIX
When the experiment was last modified.
experimentName :: Maybe Text
The name of the experiment.
experimentArn :: Maybe Text
The Amazon Resource Name (ARN) of the experiment.
source :: Maybe ExperimentSource
displayName :: Maybe Text
The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.
lastModifiedBy :: Maybe UserContext
description :: Maybe Text
The description of the experiment.
tags :: Maybe [Tag]
The list of tags that are associated with the experiment. You can use Search API to search on the tags.

Instances

Instances details

Eq Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Methods (==) :: Experiment -> Experiment -> Bool # (/=) :: Experiment -> Experiment -> Bool #
Read Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Methods readsPrec :: Int -> ReadS Experiment # readList :: ReadS [Experiment] # readPrec :: ReadPrec Experiment # readListPrec :: ReadPrec [Experiment] #
Show Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Methods showsPrec :: Int -> Experiment -> ShowS # show :: Experiment -> String # showList :: [Experiment] -> ShowS #
Generic Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Associated Types type Rep Experiment :: Type -> Type # Methods from :: Experiment -> Rep Experiment x # to :: Rep Experiment x -> Experiment #
NFData Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Methods rnf :: Experiment -> () #
Hashable Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Methods hashWithSalt :: Int -> Experiment -> Int # hash :: Experiment -> Int #
FromJSON Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment Methods parseJSON :: Value -> Parser Experiment # parseJSONList :: Value -> Parser [Experiment] #
type Rep Experiment Source #
Instance details Defined in Amazonka.SageMaker.Types.Experiment type Rep Experiment = D1 ('MetaData "Experiment" "Amazonka.SageMaker.Types.Experiment" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Experiment'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "experimentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentSource)) :: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newExperiment :: Experiment Source #

Create a value of Experiment with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:Experiment', experiment_creationTime - When the experiment was created.

$sel:createdBy:Experiment', experiment_createdBy - Who created the experiment.

$sel:lastModifiedTime:Experiment', experiment_lastModifiedTime - When the experiment was last modified.

$sel:experimentName:Experiment', experiment_experimentName - The name of the experiment.

$sel:experimentArn:Experiment', experiment_experimentArn - The Amazon Resource Name (ARN) of the experiment.

$sel:source:Experiment', experiment_source - Undocumented member.

$sel:displayName:Experiment', experiment_displayName - The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

$sel:lastModifiedBy:Experiment', experiment_lastModifiedBy - Undocumented member.

$sel:description:Experiment', experiment_description - The description of the experiment.

$sel:tags:Experiment', experiment_tags - The list of tags that are associated with the experiment. You can use Search API to search on the tags.

experiment_creationTime :: Lens' Experiment (Maybe UTCTime) Source #

When the experiment was created.

experiment_createdBy :: Lens' Experiment (Maybe UserContext) Source #

Who created the experiment.

experiment_lastModifiedTime :: Lens' Experiment (Maybe UTCTime) Source #

When the experiment was last modified.

experiment_experimentName :: Lens' Experiment (Maybe Text) Source #

The name of the experiment.

experiment_experimentArn :: Lens' Experiment (Maybe Text) Source #

The Amazon Resource Name (ARN) of the experiment.

experiment_source :: Lens' Experiment (Maybe ExperimentSource) Source #

Undocumented member.

experiment_displayName :: Lens' Experiment (Maybe Text) Source #

The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

experiment_lastModifiedBy :: Lens' Experiment (Maybe UserContext) Source #

Undocumented member.

experiment_description :: Lens' Experiment (Maybe Text) Source #

The description of the experiment.

experiment_tags :: Lens' Experiment (Maybe [Tag]) Source #

The list of tags that are associated with the experiment. You can use Search API to search on the tags.

ExperimentConfig

data ExperimentConfig Source #

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

CreateProcessingJob
CreateTrainingJob
CreateTransformJob

See: newExperimentConfig smart constructor.

Constructors

ExperimentConfig'

Fields

trialComponentDisplayName :: Maybe Text
The display name for the trial component. If this key isn't specified, the display name is the trial component name.
experimentName :: Maybe Text
The name of an existing experiment to associate the trial component with.
trialName :: Maybe Text
The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

Instances

Instances details

Eq ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods (==) :: ExperimentConfig -> ExperimentConfig -> Bool # (/=) :: ExperimentConfig -> ExperimentConfig -> Bool #
Read ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods readsPrec :: Int -> ReadS ExperimentConfig # readList :: ReadS [ExperimentConfig] # readPrec :: ReadPrec ExperimentConfig # readListPrec :: ReadPrec [ExperimentConfig] #
Show ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods showsPrec :: Int -> ExperimentConfig -> ShowS # show :: ExperimentConfig -> String # showList :: [ExperimentConfig] -> ShowS #
Generic ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Associated Types type Rep ExperimentConfig :: Type -> Type # Methods from :: ExperimentConfig -> Rep ExperimentConfig x # to :: Rep ExperimentConfig x -> ExperimentConfig #
NFData ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods rnf :: ExperimentConfig -> () #
Hashable ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods hashWithSalt :: Int -> ExperimentConfig -> Int # hash :: ExperimentConfig -> Int #
ToJSON ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods toJSON :: ExperimentConfig -> Value # toEncoding :: ExperimentConfig -> Encoding # toJSONList :: [ExperimentConfig] -> Value # toEncodingList :: [ExperimentConfig] -> Encoding #
FromJSON ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig Methods parseJSON :: Value -> Parser ExperimentConfig # parseJSONList :: Value -> Parser [ExperimentConfig] #
type Rep ExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentConfig type Rep ExperimentConfig = D1 ('MetaData "ExperimentConfig" "Amazonka.SageMaker.Types.ExperimentConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ExperimentConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "trialComponentDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newExperimentConfig :: ExperimentConfig Source #

Create a value of ExperimentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:trialComponentDisplayName:ExperimentConfig', experimentConfig_trialComponentDisplayName - The display name for the trial component. If this key isn't specified, the display name is the trial component name.

$sel:experimentName:ExperimentConfig', experimentConfig_experimentName - The name of an existing experiment to associate the trial component with.

$sel:trialName:ExperimentConfig', experimentConfig_trialName - The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

experimentConfig_trialComponentDisplayName :: Lens' ExperimentConfig (Maybe Text) Source #

The display name for the trial component. If this key isn't specified, the display name is the trial component name.

experimentConfig_experimentName :: Lens' ExperimentConfig (Maybe Text) Source #

The name of an existing experiment to associate the trial component with.

experimentConfig_trialName :: Lens' ExperimentConfig (Maybe Text) Source #

The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

ExperimentSource

data ExperimentSource Source #

The source of the experiment.

See: newExperimentSource smart constructor.

Constructors

ExperimentSource'
Fields sourceType :: Maybe Text The source type. sourceArn :: Text The Amazon Resource Name (ARN) of the source.

Instances

Instances details

Eq ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Methods (==) :: ExperimentSource -> ExperimentSource -> Bool # (/=) :: ExperimentSource -> ExperimentSource -> Bool #
Read ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Methods readsPrec :: Int -> ReadS ExperimentSource # readList :: ReadS [ExperimentSource] # readPrec :: ReadPrec ExperimentSource # readListPrec :: ReadPrec [ExperimentSource] #
Show ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Methods showsPrec :: Int -> ExperimentSource -> ShowS # show :: ExperimentSource -> String # showList :: [ExperimentSource] -> ShowS #
Generic ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Associated Types type Rep ExperimentSource :: Type -> Type # Methods from :: ExperimentSource -> Rep ExperimentSource x # to :: Rep ExperimentSource x -> ExperimentSource #
NFData ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Methods rnf :: ExperimentSource -> () #
Hashable ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Methods hashWithSalt :: Int -> ExperimentSource -> Int # hash :: ExperimentSource -> Int #
FromJSON ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource Methods parseJSON :: Value -> Parser ExperimentSource # parseJSONList :: Value -> Parser [ExperimentSource] #
type Rep ExperimentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSource type Rep ExperimentSource = D1 ('MetaData "ExperimentSource" "Amazonka.SageMaker.Types.ExperimentSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ExperimentSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newExperimentSource Source #

Arguments

:: Text	`$sel:sourceArn:ExperimentSource'`
-> ExperimentSource

Create a value of ExperimentSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:ExperimentSource', experimentSource_sourceType - The source type.

$sel:sourceArn:ExperimentSource', experimentSource_sourceArn - The Amazon Resource Name (ARN) of the source.

experimentSource_sourceType :: Lens' ExperimentSource (Maybe Text) Source #

The source type.

experimentSource_sourceArn :: Lens' ExperimentSource Text Source #

The Amazon Resource Name (ARN) of the source.

ExperimentSummary

data ExperimentSummary Source #

A summary of the properties of an experiment. To get the complete set of properties, call the DescribeExperiment API and provide the ExperimentName.

See: newExperimentSummary smart constructor.

Constructors

ExperimentSummary'

Fields

creationTime :: Maybe POSIX
When the experiment was created.
lastModifiedTime :: Maybe POSIX
When the experiment was last modified.
experimentName :: Maybe Text
The name of the experiment.
experimentSource :: Maybe ExperimentSource
experimentArn :: Maybe Text
The Amazon Resource Name (ARN) of the experiment.
displayName :: Maybe Text
The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

Instances

Instances details

Eq ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Methods (==) :: ExperimentSummary -> ExperimentSummary -> Bool # (/=) :: ExperimentSummary -> ExperimentSummary -> Bool #
Read ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Methods readsPrec :: Int -> ReadS ExperimentSummary # readList :: ReadS [ExperimentSummary] # readPrec :: ReadPrec ExperimentSummary # readListPrec :: ReadPrec [ExperimentSummary] #
Show ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Methods showsPrec :: Int -> ExperimentSummary -> ShowS # show :: ExperimentSummary -> String # showList :: [ExperimentSummary] -> ShowS #
Generic ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Associated Types type Rep ExperimentSummary :: Type -> Type # Methods from :: ExperimentSummary -> Rep ExperimentSummary x # to :: Rep ExperimentSummary x -> ExperimentSummary #
NFData ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Methods rnf :: ExperimentSummary -> () #
Hashable ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Methods hashWithSalt :: Int -> ExperimentSummary -> Int # hash :: ExperimentSummary -> Int #
FromJSON ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary Methods parseJSON :: Value -> Parser ExperimentSummary # parseJSONList :: Value -> Parser [ExperimentSummary] #
type Rep ExperimentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ExperimentSummary type Rep ExperimentSummary = D1 ('MetaData "ExperimentSummary" "Amazonka.SageMaker.Types.ExperimentSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ExperimentSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "experimentSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentSource)) :: (S1 ('MetaSel ('Just "experimentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newExperimentSummary :: ExperimentSummary Source #

Create a value of ExperimentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ExperimentSummary', experimentSummary_creationTime - When the experiment was created.

$sel:lastModifiedTime:ExperimentSummary', experimentSummary_lastModifiedTime - When the experiment was last modified.

$sel:experimentName:ExperimentSummary', experimentSummary_experimentName - The name of the experiment.

$sel:experimentSource:ExperimentSummary', experimentSummary_experimentSource - Undocumented member.

$sel:experimentArn:ExperimentSummary', experimentSummary_experimentArn - The Amazon Resource Name (ARN) of the experiment.

$sel:displayName:ExperimentSummary', experimentSummary_displayName - The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

experimentSummary_creationTime :: Lens' ExperimentSummary (Maybe UTCTime) Source #

When the experiment was created.

experimentSummary_lastModifiedTime :: Lens' ExperimentSummary (Maybe UTCTime) Source #

When the experiment was last modified.

experimentSummary_experimentName :: Lens' ExperimentSummary (Maybe Text) Source #

The name of the experiment.

experimentSummary_experimentSource :: Lens' ExperimentSummary (Maybe ExperimentSource) Source #

Undocumented member.

experimentSummary_experimentArn :: Lens' ExperimentSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the experiment.

experimentSummary_displayName :: Lens' ExperimentSummary (Maybe Text) Source #

The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

Explainability

data Explainability Source #

Contains explainability metrics for a model.

See: newExplainability smart constructor.

Constructors

Explainability'
Fields report :: Maybe MetricsSource The explainability report for a model.

Instances

Instances details

Eq Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods (==) :: Explainability -> Explainability -> Bool # (/=) :: Explainability -> Explainability -> Bool #
Read Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods readsPrec :: Int -> ReadS Explainability # readList :: ReadS [Explainability] # readPrec :: ReadPrec Explainability # readListPrec :: ReadPrec [Explainability] #
Show Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods showsPrec :: Int -> Explainability -> ShowS # show :: Explainability -> String # showList :: [Explainability] -> ShowS #
Generic Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Associated Types type Rep Explainability :: Type -> Type # Methods from :: Explainability -> Rep Explainability x # to :: Rep Explainability x -> Explainability #
NFData Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods rnf :: Explainability -> () #
Hashable Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods hashWithSalt :: Int -> Explainability -> Int # hash :: Explainability -> Int #
ToJSON Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods toJSON :: Explainability -> Value # toEncoding :: Explainability -> Encoding # toJSONList :: [Explainability] -> Value # toEncodingList :: [Explainability] -> Encoding #
FromJSON Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability Methods parseJSON :: Value -> Parser Explainability # parseJSONList :: Value -> Parser [Explainability] #
type Rep Explainability Source #
Instance details Defined in Amazonka.SageMaker.Types.Explainability type Rep Explainability = D1 ('MetaData "Explainability" "Amazonka.SageMaker.Types.Explainability" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Explainability'" 'PrefixI 'True) (S1 ('MetaSel ('Just "report") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newExplainability :: Explainability Source #

Create a value of Explainability with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:report:Explainability', explainability_report - The explainability report for a model.

explainability_report :: Lens' Explainability (Maybe MetricsSource) Source #

The explainability report for a model.

FeatureDefinition

data FeatureDefinition Source #

A list of features. You must include FeatureName and FeatureType. Valid feature FeatureTypes are Integral, Fractional and String.

See: newFeatureDefinition smart constructor.

Constructors

FeatureDefinition'
Fields featureType :: Maybe FeatureType The value type of a feature. Valid values are Integral, Fractional, or String. featureName :: Maybe Text The name of a feature. The type must be a string. `FeatureName` cannot be any of the following: `is_deleted`, `write_time`, `api_invocation_time`.

Instances

Instances details

Eq FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods (==) :: FeatureDefinition -> FeatureDefinition -> Bool # (/=) :: FeatureDefinition -> FeatureDefinition -> Bool #
Read FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods readsPrec :: Int -> ReadS FeatureDefinition # readList :: ReadS [FeatureDefinition] # readPrec :: ReadPrec FeatureDefinition # readListPrec :: ReadPrec [FeatureDefinition] #
Show FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods showsPrec :: Int -> FeatureDefinition -> ShowS # show :: FeatureDefinition -> String # showList :: [FeatureDefinition] -> ShowS #
Generic FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Associated Types type Rep FeatureDefinition :: Type -> Type # Methods from :: FeatureDefinition -> Rep FeatureDefinition x # to :: Rep FeatureDefinition x -> FeatureDefinition #
NFData FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods rnf :: FeatureDefinition -> () #
Hashable FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods hashWithSalt :: Int -> FeatureDefinition -> Int # hash :: FeatureDefinition -> Int #
ToJSON FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods toJSON :: FeatureDefinition -> Value # toEncoding :: FeatureDefinition -> Encoding # toJSONList :: [FeatureDefinition] -> Value # toEncodingList :: [FeatureDefinition] -> Encoding #
FromJSON FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition Methods parseJSON :: Value -> Parser FeatureDefinition # parseJSONList :: Value -> Parser [FeatureDefinition] #
type Rep FeatureDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureDefinition type Rep FeatureDefinition = D1 ('MetaData "FeatureDefinition" "Amazonka.SageMaker.Types.FeatureDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FeatureDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureType)) :*: S1 ('MetaSel ('Just "featureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newFeatureDefinition :: FeatureDefinition Source #

Create a value of FeatureDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureType:FeatureDefinition', featureDefinition_featureType - The value type of a feature. Valid values are Integral, Fractional, or String.

$sel:featureName:FeatureDefinition', featureDefinition_featureName - The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.

featureDefinition_featureType :: Lens' FeatureDefinition (Maybe FeatureType) Source #

The value type of a feature. Valid values are Integral, Fractional, or String.

featureDefinition_featureName :: Lens' FeatureDefinition (Maybe Text) Source #

The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.

FeatureGroup

data FeatureGroup Source #

Amazon SageMaker Feature Store stores features in a collection called Feature Group. A Feature Group can be visualized as a table which has rows, with a unique identifier for each row where each column in the table is a feature. In principle, a Feature Group is composed of features and values per features.

See: newFeatureGroup smart constructor.

Constructors

FeatureGroup'

Fields

creationTime :: Maybe POSIX
The time a FeatureGroup was created.
offlineStoreConfig :: Maybe OfflineStoreConfig
failureReason :: Maybe Text
The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.
featureGroupStatus :: Maybe FeatureGroupStatus
A FeatureGroup status.
featureDefinitions :: Maybe (NonEmpty FeatureDefinition)
A list of Features. Each Feature must include a FeatureName and a FeatureType.
Valid FeatureTypes are Integral, Fractional and String.
FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.
You can create up to 2,500 FeatureDefinitions per FeatureGroup.
offlineStoreStatus :: Maybe OfflineStoreStatus
onlineStoreConfig :: Maybe OnlineStoreConfig
eventTimeFeatureName :: Maybe Text
The name of the feature that stores the EventTime of a Record in a FeatureGroup.
A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.
recordIdentifierFeatureName :: Maybe Text
The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.
featureGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of a FeatureGroup.
featureGroupName :: Maybe Text
The name of the FeatureGroup.
description :: Maybe Text
A free form description of a FeatureGroup.
tags :: Maybe [Tag]
Tags used to define a FeatureGroup.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.

Instances

Instances details

Eq FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Methods (==) :: FeatureGroup -> FeatureGroup -> Bool # (/=) :: FeatureGroup -> FeatureGroup -> Bool #
Read FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Methods readsPrec :: Int -> ReadS FeatureGroup # readList :: ReadS [FeatureGroup] # readPrec :: ReadPrec FeatureGroup # readListPrec :: ReadPrec [FeatureGroup] #
Show FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Methods showsPrec :: Int -> FeatureGroup -> ShowS # show :: FeatureGroup -> String # showList :: [FeatureGroup] -> ShowS #
Generic FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Associated Types type Rep FeatureGroup :: Type -> Type # Methods from :: FeatureGroup -> Rep FeatureGroup x # to :: Rep FeatureGroup x -> FeatureGroup #
NFData FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Methods rnf :: FeatureGroup -> () #
Hashable FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Methods hashWithSalt :: Int -> FeatureGroup -> Int # hash :: FeatureGroup -> Int #
FromJSON FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup Methods parseJSON :: Value -> Parser FeatureGroup # parseJSONList :: Value -> Parser [FeatureGroup] #
type Rep FeatureGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroup type Rep FeatureGroup = D1 ('MetaData "FeatureGroup" "Amazonka.SageMaker.Types.FeatureGroup" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FeatureGroup'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "offlineStoreConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OfflineStoreConfig)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "featureGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureGroupStatus)) :: S1 ('MetaSel ('Just "featureDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty FeatureDefinition)))) :: (S1 ('MetaSel ('Just "offlineStoreStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OfflineStoreStatus)) :: S1 ('MetaSel ('Just "onlineStoreConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OnlineStoreConfig))))) :: ((S1 ('MetaSel ('Just "eventTimeFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "recordIdentifierFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "featureGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newFeatureGroup :: FeatureGroup Source #

Create a value of FeatureGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:FeatureGroup', featureGroup_creationTime - The time a FeatureGroup was created.

$sel:offlineStoreConfig:FeatureGroup', featureGroup_offlineStoreConfig - Undocumented member.

$sel:failureReason:FeatureGroup', featureGroup_failureReason - The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.

$sel:featureGroupStatus:FeatureGroup', featureGroup_featureGroupStatus - A FeatureGroup status.

$sel:featureDefinitions:FeatureGroup', featureGroup_featureDefinitions - A list of Features. Each Feature must include a FeatureName and a FeatureType.

Valid FeatureTypes are Integral, Fractional and String.

FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.

You can create up to 2,500 FeatureDefinitions per FeatureGroup.

$sel:offlineStoreStatus:FeatureGroup', featureGroup_offlineStoreStatus - Undocumented member.

$sel:onlineStoreConfig:FeatureGroup', featureGroup_onlineStoreConfig - Undocumented member.

$sel:eventTimeFeatureName:FeatureGroup', featureGroup_eventTimeFeatureName - The name of the feature that stores the EventTime of a Record in a FeatureGroup.

A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.

$sel:recordIdentifierFeatureName:FeatureGroup', featureGroup_recordIdentifierFeatureName - The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.

$sel:featureGroupArn:FeatureGroup', featureGroup_featureGroupArn - The Amazon Resource Name (ARN) of a FeatureGroup.

$sel:featureGroupName:FeatureGroup', featureGroup_featureGroupName - The name of the FeatureGroup.

$sel:description:FeatureGroup', featureGroup_description - A free form description of a FeatureGroup.

$sel:tags:FeatureGroup', featureGroup_tags - Tags used to define a FeatureGroup.

$sel:roleArn:FeatureGroup', featureGroup_roleArn - The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.

featureGroup_creationTime :: Lens' FeatureGroup (Maybe UTCTime) Source #

The time a FeatureGroup was created.

featureGroup_offlineStoreConfig :: Lens' FeatureGroup (Maybe OfflineStoreConfig) Source #

Undocumented member.

featureGroup_failureReason :: Lens' FeatureGroup (Maybe Text) Source #

The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.

featureGroup_featureGroupStatus :: Lens' FeatureGroup (Maybe FeatureGroupStatus) Source #

A FeatureGroup status.

featureGroup_featureDefinitions :: Lens' FeatureGroup (Maybe (NonEmpty FeatureDefinition)) Source #

A list of Features. Each Feature must include a FeatureName and a FeatureType.

Valid FeatureTypes are Integral, Fractional and String.

FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.

You can create up to 2,500 FeatureDefinitions per FeatureGroup.

featureGroup_offlineStoreStatus :: Lens' FeatureGroup (Maybe OfflineStoreStatus) Source #

Undocumented member.

featureGroup_onlineStoreConfig :: Lens' FeatureGroup (Maybe OnlineStoreConfig) Source #

Undocumented member.

featureGroup_eventTimeFeatureName :: Lens' FeatureGroup (Maybe Text) Source #

The name of the feature that stores the EventTime of a Record in a FeatureGroup.

A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.

featureGroup_recordIdentifierFeatureName :: Lens' FeatureGroup (Maybe Text) Source #

The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.

featureGroup_featureGroupArn :: Lens' FeatureGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of a FeatureGroup.

featureGroup_featureGroupName :: Lens' FeatureGroup (Maybe Text) Source #

The name of the FeatureGroup.

featureGroup_description :: Lens' FeatureGroup (Maybe Text) Source #

A free form description of a FeatureGroup.

featureGroup_tags :: Lens' FeatureGroup (Maybe [Tag]) Source #

Tags used to define a FeatureGroup.

featureGroup_roleArn :: Lens' FeatureGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.

FeatureGroupSummary

data FeatureGroupSummary Source #

The name, Arn, CreationTime, FeatureGroup values, LastUpdatedTime and EnableOnlineStorage status of a FeatureGroup.

See: newFeatureGroupSummary smart constructor.

Constructors

FeatureGroupSummary'

Fields

featureGroupStatus :: Maybe FeatureGroupStatus
The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.
offlineStoreStatus :: Maybe OfflineStoreStatus
Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.
featureGroupName :: Text
The name of FeatureGroup.
featureGroupArn :: Text
Unique identifier for the FeatureGroup.
creationTime :: POSIX
A timestamp indicating the time of creation time of the FeatureGroup.

Instances

Instances details

Eq FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Methods (==) :: FeatureGroupSummary -> FeatureGroupSummary -> Bool # (/=) :: FeatureGroupSummary -> FeatureGroupSummary -> Bool #
Read FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Methods readsPrec :: Int -> ReadS FeatureGroupSummary # readList :: ReadS [FeatureGroupSummary] # readPrec :: ReadPrec FeatureGroupSummary # readListPrec :: ReadPrec [FeatureGroupSummary] #
Show FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Methods showsPrec :: Int -> FeatureGroupSummary -> ShowS # show :: FeatureGroupSummary -> String # showList :: [FeatureGroupSummary] -> ShowS #
Generic FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Associated Types type Rep FeatureGroupSummary :: Type -> Type # Methods from :: FeatureGroupSummary -> Rep FeatureGroupSummary x # to :: Rep FeatureGroupSummary x -> FeatureGroupSummary #
NFData FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Methods rnf :: FeatureGroupSummary -> () #
Hashable FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Methods hashWithSalt :: Int -> FeatureGroupSummary -> Int # hash :: FeatureGroupSummary -> Int #
FromJSON FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary Methods parseJSON :: Value -> Parser FeatureGroupSummary # parseJSONList :: Value -> Parser [FeatureGroupSummary] #
type Rep FeatureGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FeatureGroupSummary type Rep FeatureGroupSummary = D1 ('MetaData "FeatureGroupSummary" "Amazonka.SageMaker.Types.FeatureGroupSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FeatureGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "featureGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureGroupStatus)) :: S1 ('MetaSel ('Just "offlineStoreStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OfflineStoreStatus))) :: (S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "featureGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newFeatureGroupSummary Source #

Arguments

:: Text	`$sel:featureGroupName:FeatureGroupSummary'`
-> Text	`$sel:featureGroupArn:FeatureGroupSummary'`
-> UTCTime	`$sel:creationTime:FeatureGroupSummary'`
-> FeatureGroupSummary

Create a value of FeatureGroupSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureGroupStatus:FeatureGroupSummary', featureGroupSummary_featureGroupStatus - The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.

$sel:offlineStoreStatus:FeatureGroupSummary', featureGroupSummary_offlineStoreStatus - Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.

$sel:featureGroupName:FeatureGroupSummary', featureGroupSummary_featureGroupName - The name of FeatureGroup.

$sel:featureGroupArn:FeatureGroupSummary', featureGroupSummary_featureGroupArn - Unique identifier for the FeatureGroup.

$sel:creationTime:FeatureGroupSummary', featureGroupSummary_creationTime - A timestamp indicating the time of creation time of the FeatureGroup.

featureGroupSummary_featureGroupStatus :: Lens' FeatureGroupSummary (Maybe FeatureGroupStatus) Source #

The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.

featureGroupSummary_offlineStoreStatus :: Lens' FeatureGroupSummary (Maybe OfflineStoreStatus) Source #

Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.

featureGroupSummary_featureGroupName :: Lens' FeatureGroupSummary Text Source #

The name of FeatureGroup.

featureGroupSummary_featureGroupArn :: Lens' FeatureGroupSummary Text Source #

Unique identifier for the FeatureGroup.

featureGroupSummary_creationTime :: Lens' FeatureGroupSummary UTCTime Source #

A timestamp indicating the time of creation time of the FeatureGroup.

FileSystemConfig

data FileSystemConfig Source #

The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

See: newFileSystemConfig smart constructor.

Constructors

FileSystemConfig'
Fields defaultGid :: Maybe Natural The default POSIX group ID (GID). If not specified, defaults to `100`. mountPath :: Maybe Text The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user. defaultUid :: Maybe Natural The default POSIX user ID (UID). If not specified, defaults to `1000`.

Instances

Instances details

Eq FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods (==) :: FileSystemConfig -> FileSystemConfig -> Bool # (/=) :: FileSystemConfig -> FileSystemConfig -> Bool #
Read FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods readsPrec :: Int -> ReadS FileSystemConfig # readList :: ReadS [FileSystemConfig] # readPrec :: ReadPrec FileSystemConfig # readListPrec :: ReadPrec [FileSystemConfig] #
Show FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods showsPrec :: Int -> FileSystemConfig -> ShowS # show :: FileSystemConfig -> String # showList :: [FileSystemConfig] -> ShowS #
Generic FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Associated Types type Rep FileSystemConfig :: Type -> Type # Methods from :: FileSystemConfig -> Rep FileSystemConfig x # to :: Rep FileSystemConfig x -> FileSystemConfig #
NFData FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods rnf :: FileSystemConfig -> () #
Hashable FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods hashWithSalt :: Int -> FileSystemConfig -> Int # hash :: FileSystemConfig -> Int #
ToJSON FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods toJSON :: FileSystemConfig -> Value # toEncoding :: FileSystemConfig -> Encoding # toJSONList :: [FileSystemConfig] -> Value # toEncodingList :: [FileSystemConfig] -> Encoding #
FromJSON FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig Methods parseJSON :: Value -> Parser FileSystemConfig # parseJSONList :: Value -> Parser [FileSystemConfig] #
type Rep FileSystemConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemConfig type Rep FileSystemConfig = D1 ('MetaData "FileSystemConfig" "Amazonka.SageMaker.Types.FileSystemConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FileSystemConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "defaultGid") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "mountPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "defaultUid") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newFileSystemConfig :: FileSystemConfig Source #

Create a value of FileSystemConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultGid:FileSystemConfig', fileSystemConfig_defaultGid - The default POSIX group ID (GID). If not specified, defaults to 100.

$sel:mountPath:FileSystemConfig', fileSystemConfig_mountPath - The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.

$sel:defaultUid:FileSystemConfig', fileSystemConfig_defaultUid - The default POSIX user ID (UID). If not specified, defaults to 1000.

fileSystemConfig_defaultGid :: Lens' FileSystemConfig (Maybe Natural) Source #

The default POSIX group ID (GID). If not specified, defaults to 100.

fileSystemConfig_mountPath :: Lens' FileSystemConfig (Maybe Text) Source #

The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.

fileSystemConfig_defaultUid :: Lens' FileSystemConfig (Maybe Natural) Source #

The default POSIX user ID (UID). If not specified, defaults to 1000.

FileSystemDataSource

data FileSystemDataSource Source #

Specifies a file system data source for a channel.

See: newFileSystemDataSource smart constructor.

Constructors

FileSystemDataSource'
Fields fileSystemId :: Text The file system id. fileSystemAccessMode :: FileSystemAccessMode The access mode of the mount of the directory associated with the channel. A directory can be mounted either in `ro` (read-only) or `rw` (read-write) mode. fileSystemType :: FileSystemType The file system type. directoryPath :: Text The full path to the directory to associate with the channel.

Instances

Instances details

Eq FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods (==) :: FileSystemDataSource -> FileSystemDataSource -> Bool # (/=) :: FileSystemDataSource -> FileSystemDataSource -> Bool #
Read FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods readsPrec :: Int -> ReadS FileSystemDataSource # readList :: ReadS [FileSystemDataSource] # readPrec :: ReadPrec FileSystemDataSource # readListPrec :: ReadPrec [FileSystemDataSource] #
Show FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods showsPrec :: Int -> FileSystemDataSource -> ShowS # show :: FileSystemDataSource -> String # showList :: [FileSystemDataSource] -> ShowS #
Generic FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Associated Types type Rep FileSystemDataSource :: Type -> Type # Methods from :: FileSystemDataSource -> Rep FileSystemDataSource x # to :: Rep FileSystemDataSource x -> FileSystemDataSource #
NFData FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods rnf :: FileSystemDataSource -> () #
Hashable FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods hashWithSalt :: Int -> FileSystemDataSource -> Int # hash :: FileSystemDataSource -> Int #
ToJSON FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods toJSON :: FileSystemDataSource -> Value # toEncoding :: FileSystemDataSource -> Encoding # toJSONList :: [FileSystemDataSource] -> Value # toEncodingList :: [FileSystemDataSource] -> Encoding #
FromJSON FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource Methods parseJSON :: Value -> Parser FileSystemDataSource # parseJSONList :: Value -> Parser [FileSystemDataSource] #
type Rep FileSystemDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.FileSystemDataSource type Rep FileSystemDataSource = D1 ('MetaData "FileSystemDataSource" "Amazonka.SageMaker.Types.FileSystemDataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FileSystemDataSource'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "fileSystemId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "fileSystemAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FileSystemAccessMode)) :: (S1 ('MetaSel ('Just "fileSystemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FileSystemType) :*: S1 ('MetaSel ('Just "directoryPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newFileSystemDataSource Source #

Arguments

:: Text	`$sel:fileSystemId:FileSystemDataSource'`
-> FileSystemAccessMode	`$sel:fileSystemAccessMode:FileSystemDataSource'`
-> FileSystemType	`$sel:fileSystemType:FileSystemDataSource'`
-> Text	`$sel:directoryPath:FileSystemDataSource'`
-> FileSystemDataSource

Create a value of FileSystemDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fileSystemId:FileSystemDataSource', fileSystemDataSource_fileSystemId - The file system id.

$sel:fileSystemAccessMode:FileSystemDataSource', fileSystemDataSource_fileSystemAccessMode - The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro (read-only) or rw (read-write) mode.

$sel:fileSystemType:FileSystemDataSource', fileSystemDataSource_fileSystemType - The file system type.

$sel:directoryPath:FileSystemDataSource', fileSystemDataSource_directoryPath - The full path to the directory to associate with the channel.

fileSystemDataSource_fileSystemId :: Lens' FileSystemDataSource Text Source #

The file system id.

fileSystemDataSource_fileSystemAccessMode :: Lens' FileSystemDataSource FileSystemAccessMode Source #

The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro (read-only) or rw (read-write) mode.

fileSystemDataSource_fileSystemType :: Lens' FileSystemDataSource FileSystemType Source #

The file system type.

fileSystemDataSource_directoryPath :: Lens' FileSystemDataSource Text Source #

The full path to the directory to associate with the channel.

Filter

data Filter Source #

A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value. Resources that match the statement are returned in the results from the Search API.

If you specify a Value, but not an Operator, Amazon SageMaker uses the equals operator.

In search, there are several property types:

Metrics

To define a metric filter, enter a value using the form "Metrics.<name>", where <name> is a metric name. For example, the following filter searches for training jobs with an "accuracy" metric greater than "0.9":

"Name": "Metrics.accuracy",

"Operator": "GreaterThan",

"Value": "0.9"

HyperParameters

To define a hyperparameter filter, enter a value with the form "HyperParameters.<name>". Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value is also a decimal value. If the specified Value is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a "learning_rate" hyperparameter that is less than "0.5":

 "Name": "HyperParameters.learning_rate",

 "Operator": "LessThan",

 "Value": "0.5"

Tags

To define a tag filter, enter a value with the form Tags.<key>.

See: newFilter smart constructor.

Constructors

Filter'

Fields

operator :: Maybe Operator
A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:
Equals
The value of Name equals Value.
NotEquals
The value of Name doesn't equal Value.
Exists
The Name property exists.
NotExists
The Name property does not exist.
GreaterThan
The value of Name is greater than Value. Not supported for text properties.
GreaterThanOrEqualTo
The value of Name is greater than or equal to Value. Not supported for text properties.
LessThan
The value of Name is less than Value. Not supported for text properties.
LessThanOrEqualTo
The value of Name is less than or equal to Value. Not supported for text properties.
In
The value of Name is one of the comma delimited strings in Value. Only supported for text properties.
Contains
The value of Name contains the string Value. Only supported for text properties.
A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:
- Experiment.DisplayName
- Experiment.ExperimentName
- Experiment.Tags
- Trial.DisplayName
- Trial.TrialName
- Trial.Tags
- TrialComponent.DisplayName
- TrialComponent.TrialComponentName
- TrialComponent.Tags
- TrialComponent.InputArtifacts
- TrialComponent.OutputArtifacts
A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded."
value :: Maybe Text
A value used with Name and Operator to determine which resources satisfy the filter's condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.
name :: Text
A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.

Instances

Instances details

Eq Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
Read Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Methods readsPrec :: Int -> ReadS Filter # readList :: ReadS [Filter] # readPrec :: ReadPrec Filter # readListPrec :: ReadPrec [Filter] #
Show Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Methods showsPrec :: Int -> Filter -> ShowS # show :: Filter -> String # showList :: [Filter] -> ShowS #
Generic Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Associated Types type Rep Filter :: Type -> Type # Methods from :: Filter -> Rep Filter x # to :: Rep Filter x -> Filter #
NFData Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Methods rnf :: Filter -> () #
Hashable Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Methods hashWithSalt :: Int -> Filter -> Int # hash :: Filter -> Int #
ToJSON Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter Methods toJSON :: Filter -> Value # toEncoding :: Filter -> Encoding # toJSONList :: [Filter] -> Value # toEncodingList :: [Filter] -> Encoding #
type Rep Filter Source #
Instance details Defined in Amazonka.SageMaker.Types.Filter type Rep Filter = D1 ('MetaData "Filter" "Amazonka.SageMaker.Types.Filter" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Filter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "operator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Operator)) :: (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newFilter Source #

Arguments

:: Text	`$sel:name:Filter'`
-> Filter

Create a value of Filter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:operator:Filter', filter_operator - A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:

Equals

The value of Name equals Value.

NotEquals

The value of Name doesn't equal Value.

Exists

The Name property exists.

NotExists

The Name property does not exist.

GreaterThan

The value of Name is greater than Value. Not supported for text properties.

GreaterThanOrEqualTo

The value of Name is greater than or equal to Value. Not supported for text properties.

LessThan

The value of Name is less than Value. Not supported for text properties.

LessThanOrEqualTo

The value of Name is less than or equal to Value. Not supported for text properties.

In

The value of Name is one of the comma delimited strings in Value. Only supported for text properties.

Contains

The value of Name contains the string Value. Only supported for text properties.

A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:

```
Experiment.DisplayName
```
```
Experiment.ExperimentName
```
```
Experiment.Tags
```
```
Trial.DisplayName
```
```
Trial.TrialName
```
```
Trial.Tags
```
```
TrialComponent.DisplayName
```
```
TrialComponent.TrialComponentName
```
```
TrialComponent.Tags
```
```
TrialComponent.InputArtifacts
```
```
TrialComponent.OutputArtifacts
```

A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded."

$sel:value:Filter', filter_value - A value used with Name and Operator to determine which resources satisfy the filter's condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.

$sel:name:Filter', filter_name - A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.

filter_operator :: Lens' Filter (Maybe Operator) Source #

A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:

Equals

The value of Name equals Value.

NotEquals

The value of Name doesn't equal Value.

Exists

The Name property exists.

NotExists

The Name property does not exist.

GreaterThan

The value of Name is greater than Value. Not supported for text properties.

GreaterThanOrEqualTo

The value of Name is greater than or equal to Value. Not supported for text properties.

LessThan

The value of Name is less than Value. Not supported for text properties.

LessThanOrEqualTo

The value of Name is less than or equal to Value. Not supported for text properties.

In

The value of Name is one of the comma delimited strings in Value. Only supported for text properties.

Contains

The value of Name contains the string Value. Only supported for text properties.

A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:

```
Experiment.DisplayName
```
```
Experiment.ExperimentName
```
```
Experiment.Tags
```
```
Trial.DisplayName
```
```
Trial.TrialName
```
```
Trial.Tags
```
```
TrialComponent.DisplayName
```
```
TrialComponent.TrialComponentName
```
```
TrialComponent.Tags
```
```
TrialComponent.InputArtifacts
```
```
TrialComponent.OutputArtifacts
```

A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded."

filter_value :: Lens' Filter (Maybe Text) Source #

A value used with Name and Operator to determine which resources satisfy the filter's condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.

filter_name :: Lens' Filter Text Source #

A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.

FinalAutoMLJobObjectiveMetric

data FinalAutoMLJobObjectiveMetric Source #

The best candidate result from an AutoML training job.

See: newFinalAutoMLJobObjectiveMetric smart constructor.

Constructors

FinalAutoMLJobObjectiveMetric'
Fields type' :: Maybe AutoMLJobObjectiveType The type of metric with the best result. metricName :: AutoMLMetricEnum The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName. value :: Double The value of the metric with the best result.

Instances

Instances details

Eq FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Methods (==) :: FinalAutoMLJobObjectiveMetric -> FinalAutoMLJobObjectiveMetric -> Bool # (/=) :: FinalAutoMLJobObjectiveMetric -> FinalAutoMLJobObjectiveMetric -> Bool #
Read FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Methods readsPrec :: Int -> ReadS FinalAutoMLJobObjectiveMetric # readList :: ReadS [FinalAutoMLJobObjectiveMetric] # readPrec :: ReadPrec FinalAutoMLJobObjectiveMetric # readListPrec :: ReadPrec [FinalAutoMLJobObjectiveMetric] #
Show FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Methods showsPrec :: Int -> FinalAutoMLJobObjectiveMetric -> ShowS # show :: FinalAutoMLJobObjectiveMetric -> String # showList :: [FinalAutoMLJobObjectiveMetric] -> ShowS #
Generic FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Associated Types type Rep FinalAutoMLJobObjectiveMetric :: Type -> Type # Methods from :: FinalAutoMLJobObjectiveMetric -> Rep FinalAutoMLJobObjectiveMetric x # to :: Rep FinalAutoMLJobObjectiveMetric x -> FinalAutoMLJobObjectiveMetric #
NFData FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Methods rnf :: FinalAutoMLJobObjectiveMetric -> () #
Hashable FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Methods hashWithSalt :: Int -> FinalAutoMLJobObjectiveMetric -> Int # hash :: FinalAutoMLJobObjectiveMetric -> Int #
FromJSON FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric Methods parseJSON :: Value -> Parser FinalAutoMLJobObjectiveMetric # parseJSONList :: Value -> Parser [FinalAutoMLJobObjectiveMetric] #
type Rep FinalAutoMLJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric type Rep FinalAutoMLJobObjectiveMetric = D1 ('MetaData "FinalAutoMLJobObjectiveMetric" "Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FinalAutoMLJobObjectiveMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobObjectiveType)) :: (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLMetricEnum) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double))))

newFinalAutoMLJobObjectiveMetric Source #

Arguments

:: AutoMLMetricEnum	`$sel:metricName:FinalAutoMLJobObjectiveMetric'`
-> Double	`$sel:value:FinalAutoMLJobObjectiveMetric'`
-> FinalAutoMLJobObjectiveMetric

Create a value of FinalAutoMLJobObjectiveMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':FinalAutoMLJobObjectiveMetric', finalAutoMLJobObjectiveMetric_type - The type of metric with the best result.

$sel:metricName:FinalAutoMLJobObjectiveMetric', finalAutoMLJobObjectiveMetric_metricName - The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.

$sel:value:FinalAutoMLJobObjectiveMetric', finalAutoMLJobObjectiveMetric_value - The value of the metric with the best result.

finalAutoMLJobObjectiveMetric_type :: Lens' FinalAutoMLJobObjectiveMetric (Maybe AutoMLJobObjectiveType) Source #

The type of metric with the best result.

finalAutoMLJobObjectiveMetric_metricName :: Lens' FinalAutoMLJobObjectiveMetric AutoMLMetricEnum Source #

The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.

finalAutoMLJobObjectiveMetric_value :: Lens' FinalAutoMLJobObjectiveMetric Double Source #

The value of the metric with the best result.

FinalHyperParameterTuningJobObjectiveMetric

data FinalHyperParameterTuningJobObjectiveMetric Source #

Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.

See: newFinalHyperParameterTuningJobObjectiveMetric smart constructor.

Constructors

FinalHyperParameterTuningJobObjectiveMetric'
Fields type' :: Maybe HyperParameterTuningJobObjectiveType Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize. metricName :: Text The name of the objective metric. value :: Double The value of the objective metric.

Instances

Instances details

Eq FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Methods (==) :: FinalHyperParameterTuningJobObjectiveMetric -> FinalHyperParameterTuningJobObjectiveMetric -> Bool # (/=) :: FinalHyperParameterTuningJobObjectiveMetric -> FinalHyperParameterTuningJobObjectiveMetric -> Bool #
Read FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Methods readsPrec :: Int -> ReadS FinalHyperParameterTuningJobObjectiveMetric # readList :: ReadS [FinalHyperParameterTuningJobObjectiveMetric] # readPrec :: ReadPrec FinalHyperParameterTuningJobObjectiveMetric # readListPrec :: ReadPrec [FinalHyperParameterTuningJobObjectiveMetric] #
Show FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Methods showsPrec :: Int -> FinalHyperParameterTuningJobObjectiveMetric -> ShowS # show :: FinalHyperParameterTuningJobObjectiveMetric -> String # showList :: [FinalHyperParameterTuningJobObjectiveMetric] -> ShowS #
Generic FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Associated Types type Rep FinalHyperParameterTuningJobObjectiveMetric :: Type -> Type # Methods from :: FinalHyperParameterTuningJobObjectiveMetric -> Rep FinalHyperParameterTuningJobObjectiveMetric x # to :: Rep FinalHyperParameterTuningJobObjectiveMetric x -> FinalHyperParameterTuningJobObjectiveMetric #
NFData FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Methods rnf :: FinalHyperParameterTuningJobObjectiveMetric -> () #
Hashable FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Methods hashWithSalt :: Int -> FinalHyperParameterTuningJobObjectiveMetric -> Int # hash :: FinalHyperParameterTuningJobObjectiveMetric -> Int #
FromJSON FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric Methods parseJSON :: Value -> Parser FinalHyperParameterTuningJobObjectiveMetric # parseJSONList :: Value -> Parser [FinalHyperParameterTuningJobObjectiveMetric] #
type Rep FinalHyperParameterTuningJobObjectiveMetric Source #
Instance details Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric type Rep FinalHyperParameterTuningJobObjectiveMetric = D1 ('MetaData "FinalHyperParameterTuningJobObjectiveMetric" "Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FinalHyperParameterTuningJobObjectiveMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobObjectiveType)) :: (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double))))

newFinalHyperParameterTuningJobObjectiveMetric Source #

Arguments

:: Text	`$sel:metricName:FinalHyperParameterTuningJobObjectiveMetric'`
-> Double	`$sel:value:FinalHyperParameterTuningJobObjectiveMetric'`
-> FinalHyperParameterTuningJobObjectiveMetric

Create a value of FinalHyperParameterTuningJobObjectiveMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':FinalHyperParameterTuningJobObjectiveMetric', finalHyperParameterTuningJobObjectiveMetric_type - Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.

$sel:metricName:FinalHyperParameterTuningJobObjectiveMetric', finalHyperParameterTuningJobObjectiveMetric_metricName - The name of the objective metric.

$sel:value:FinalHyperParameterTuningJobObjectiveMetric', finalHyperParameterTuningJobObjectiveMetric_value - The value of the objective metric.

finalHyperParameterTuningJobObjectiveMetric_type :: Lens' FinalHyperParameterTuningJobObjectiveMetric (Maybe HyperParameterTuningJobObjectiveType) Source #

Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.

finalHyperParameterTuningJobObjectiveMetric_metricName :: Lens' FinalHyperParameterTuningJobObjectiveMetric Text Source #

The name of the objective metric.

finalHyperParameterTuningJobObjectiveMetric_value :: Lens' FinalHyperParameterTuningJobObjectiveMetric Double Source #

The value of the objective metric.

FlowDefinitionOutputConfig

data FlowDefinitionOutputConfig Source #

Contains information about where human output will be stored.

See: newFlowDefinitionOutputConfig smart constructor.

Constructors

FlowDefinitionOutputConfig'
Fields kmsKeyId :: Maybe Text The Amazon Key Management Service (KMS) key ID for server-side encryption. s3OutputPath :: Text The Amazon S3 path where the object containing human output will be made available. To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.

Instances

Instances details

Eq FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods (==) :: FlowDefinitionOutputConfig -> FlowDefinitionOutputConfig -> Bool # (/=) :: FlowDefinitionOutputConfig -> FlowDefinitionOutputConfig -> Bool #
Read FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods readsPrec :: Int -> ReadS FlowDefinitionOutputConfig # readList :: ReadS [FlowDefinitionOutputConfig] # readPrec :: ReadPrec FlowDefinitionOutputConfig # readListPrec :: ReadPrec [FlowDefinitionOutputConfig] #
Show FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods showsPrec :: Int -> FlowDefinitionOutputConfig -> ShowS # show :: FlowDefinitionOutputConfig -> String # showList :: [FlowDefinitionOutputConfig] -> ShowS #
Generic FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Associated Types type Rep FlowDefinitionOutputConfig :: Type -> Type # Methods from :: FlowDefinitionOutputConfig -> Rep FlowDefinitionOutputConfig x # to :: Rep FlowDefinitionOutputConfig x -> FlowDefinitionOutputConfig #
NFData FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods rnf :: FlowDefinitionOutputConfig -> () #
Hashable FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods hashWithSalt :: Int -> FlowDefinitionOutputConfig -> Int # hash :: FlowDefinitionOutputConfig -> Int #
ToJSON FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods toJSON :: FlowDefinitionOutputConfig -> Value # toEncoding :: FlowDefinitionOutputConfig -> Encoding # toJSONList :: [FlowDefinitionOutputConfig] -> Value # toEncodingList :: [FlowDefinitionOutputConfig] -> Encoding #
FromJSON FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig Methods parseJSON :: Value -> Parser FlowDefinitionOutputConfig # parseJSONList :: Value -> Parser [FlowDefinitionOutputConfig] #
type Rep FlowDefinitionOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig type Rep FlowDefinitionOutputConfig = D1 ('MetaData "FlowDefinitionOutputConfig" "Amazonka.SageMaker.Types.FlowDefinitionOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FlowDefinitionOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newFlowDefinitionOutputConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:FlowDefinitionOutputConfig'`
-> FlowDefinitionOutputConfig

Create a value of FlowDefinitionOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:FlowDefinitionOutputConfig', flowDefinitionOutputConfig_kmsKeyId - The Amazon Key Management Service (KMS) key ID for server-side encryption.

$sel:s3OutputPath:FlowDefinitionOutputConfig', flowDefinitionOutputConfig_s3OutputPath - The Amazon S3 path where the object containing human output will be made available.

To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.

flowDefinitionOutputConfig_kmsKeyId :: Lens' FlowDefinitionOutputConfig (Maybe Text) Source #

The Amazon Key Management Service (KMS) key ID for server-side encryption.

flowDefinitionOutputConfig_s3OutputPath :: Lens' FlowDefinitionOutputConfig Text Source #

The Amazon S3 path where the object containing human output will be made available.

To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.

FlowDefinitionSummary

data FlowDefinitionSummary Source #

Contains summary information about the flow definition.

See: newFlowDefinitionSummary smart constructor.

Constructors

FlowDefinitionSummary'

Fields

failureReason :: Maybe Text
The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.
flowDefinitionName :: Text
The name of the flow definition.
flowDefinitionArn :: Text
The Amazon Resource Name (ARN) of the flow definition.
flowDefinitionStatus :: FlowDefinitionStatus
The status of the flow definition. Valid values:
creationTime :: POSIX
The timestamp when SageMaker created the flow definition.

Instances

Instances details

Eq FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Methods (==) :: FlowDefinitionSummary -> FlowDefinitionSummary -> Bool # (/=) :: FlowDefinitionSummary -> FlowDefinitionSummary -> Bool #
Read FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Methods readsPrec :: Int -> ReadS FlowDefinitionSummary # readList :: ReadS [FlowDefinitionSummary] # readPrec :: ReadPrec FlowDefinitionSummary # readListPrec :: ReadPrec [FlowDefinitionSummary] #
Show FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Methods showsPrec :: Int -> FlowDefinitionSummary -> ShowS # show :: FlowDefinitionSummary -> String # showList :: [FlowDefinitionSummary] -> ShowS #
Generic FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Associated Types type Rep FlowDefinitionSummary :: Type -> Type # Methods from :: FlowDefinitionSummary -> Rep FlowDefinitionSummary x # to :: Rep FlowDefinitionSummary x -> FlowDefinitionSummary #
NFData FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Methods rnf :: FlowDefinitionSummary -> () #
Hashable FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Methods hashWithSalt :: Int -> FlowDefinitionSummary -> Int # hash :: FlowDefinitionSummary -> Int #
FromJSON FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary Methods parseJSON :: Value -> Parser FlowDefinitionSummary # parseJSONList :: Value -> Parser [FlowDefinitionSummary] #
type Rep FlowDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary type Rep FlowDefinitionSummary = D1 ('MetaData "FlowDefinitionSummary" "Amazonka.SageMaker.Types.FlowDefinitionSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "FlowDefinitionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "flowDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "flowDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "flowDefinitionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FlowDefinitionStatus) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newFlowDefinitionSummary Source #

Arguments

:: Text	`$sel:flowDefinitionName:FlowDefinitionSummary'`
-> Text	`$sel:flowDefinitionArn:FlowDefinitionSummary'`
-> FlowDefinitionStatus	`$sel:flowDefinitionStatus:FlowDefinitionSummary'`
-> UTCTime	`$sel:creationTime:FlowDefinitionSummary'`
-> FlowDefinitionSummary

Create a value of FlowDefinitionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:FlowDefinitionSummary', flowDefinitionSummary_failureReason - The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.

$sel:flowDefinitionName:FlowDefinitionSummary', flowDefinitionSummary_flowDefinitionName - The name of the flow definition.

$sel:flowDefinitionArn:FlowDefinitionSummary', flowDefinitionSummary_flowDefinitionArn - The Amazon Resource Name (ARN) of the flow definition.

$sel:flowDefinitionStatus:FlowDefinitionSummary', flowDefinitionSummary_flowDefinitionStatus - The status of the flow definition. Valid values:

$sel:creationTime:FlowDefinitionSummary', flowDefinitionSummary_creationTime - The timestamp when SageMaker created the flow definition.

flowDefinitionSummary_failureReason :: Lens' FlowDefinitionSummary (Maybe Text) Source #

The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.

flowDefinitionSummary_flowDefinitionName :: Lens' FlowDefinitionSummary Text Source #

The name of the flow definition.

flowDefinitionSummary_flowDefinitionArn :: Lens' FlowDefinitionSummary Text Source #

The Amazon Resource Name (ARN) of the flow definition.

flowDefinitionSummary_flowDefinitionStatus :: Lens' FlowDefinitionSummary FlowDefinitionStatus Source #

The status of the flow definition. Valid values:

flowDefinitionSummary_creationTime :: Lens' FlowDefinitionSummary UTCTime Source #

The timestamp when SageMaker created the flow definition.

GitConfig

data GitConfig Source #

Specifies configuration details for a Git repository in your Amazon Web Services account.

See: newGitConfig smart constructor.

Constructors

GitConfig'

Fields

branch :: Maybe Text
The default branch for the Git repository.
secretArn :: Maybe Text
The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:
```
{"username": UserName, "password": Password}
```
repositoryUrl :: Text
The URL where the Git repository is located.

Instances

Instances details

Eq GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods (==) :: GitConfig -> GitConfig -> Bool # (/=) :: GitConfig -> GitConfig -> Bool #
Read GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods readsPrec :: Int -> ReadS GitConfig # readList :: ReadS [GitConfig] # readPrec :: ReadPrec GitConfig # readListPrec :: ReadPrec [GitConfig] #
Show GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods showsPrec :: Int -> GitConfig -> ShowS # show :: GitConfig -> String # showList :: [GitConfig] -> ShowS #
Generic GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Associated Types type Rep GitConfig :: Type -> Type # Methods from :: GitConfig -> Rep GitConfig x # to :: Rep GitConfig x -> GitConfig #
NFData GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods rnf :: GitConfig -> () #
Hashable GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods hashWithSalt :: Int -> GitConfig -> Int # hash :: GitConfig -> Int #
ToJSON GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods toJSON :: GitConfig -> Value # toEncoding :: GitConfig -> Encoding # toJSONList :: [GitConfig] -> Value # toEncodingList :: [GitConfig] -> Encoding #
FromJSON GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig Methods parseJSON :: Value -> Parser GitConfig # parseJSONList :: Value -> Parser [GitConfig] #
type Rep GitConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfig type Rep GitConfig = D1 ('MetaData "GitConfig" "Amazonka.SageMaker.Types.GitConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "GitConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "branch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "secretArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "repositoryUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGitConfig Source #

Arguments

:: Text	`$sel:repositoryUrl:GitConfig'`
-> GitConfig

Create a value of GitConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:branch:GitConfig', gitConfig_branch - The default branch for the Git repository.

$sel:secretArn:GitConfig', gitConfig_secretArn - The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

$sel:repositoryUrl:GitConfig', gitConfig_repositoryUrl - The URL where the Git repository is located.

gitConfig_branch :: Lens' GitConfig (Maybe Text) Source #

The default branch for the Git repository.

gitConfig_secretArn :: Lens' GitConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

gitConfig_repositoryUrl :: Lens' GitConfig Text Source #

The URL where the Git repository is located.

GitConfigForUpdate

data GitConfigForUpdate Source #

Specifies configuration details for a Git repository when the repository is updated.

See: newGitConfigForUpdate smart constructor.

Constructors

GitConfigForUpdate'
Fields secretArn :: Maybe Text The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of `AWSCURRENT` and must be in the following format: {"username": UserName, "password": Password}

Instances

Instances details

Eq GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Methods (==) :: GitConfigForUpdate -> GitConfigForUpdate -> Bool # (/=) :: GitConfigForUpdate -> GitConfigForUpdate -> Bool #
Read GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Methods readsPrec :: Int -> ReadS GitConfigForUpdate # readList :: ReadS [GitConfigForUpdate] # readPrec :: ReadPrec GitConfigForUpdate # readListPrec :: ReadPrec [GitConfigForUpdate] #
Show GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Methods showsPrec :: Int -> GitConfigForUpdate -> ShowS # show :: GitConfigForUpdate -> String # showList :: [GitConfigForUpdate] -> ShowS #
Generic GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Associated Types type Rep GitConfigForUpdate :: Type -> Type # Methods from :: GitConfigForUpdate -> Rep GitConfigForUpdate x # to :: Rep GitConfigForUpdate x -> GitConfigForUpdate #
NFData GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Methods rnf :: GitConfigForUpdate -> () #
Hashable GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Methods hashWithSalt :: Int -> GitConfigForUpdate -> Int # hash :: GitConfigForUpdate -> Int #
ToJSON GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate Methods toJSON :: GitConfigForUpdate -> Value # toEncoding :: GitConfigForUpdate -> Encoding # toJSONList :: [GitConfigForUpdate] -> Value # toEncodingList :: [GitConfigForUpdate] -> Encoding #
type Rep GitConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.GitConfigForUpdate type Rep GitConfigForUpdate = D1 ('MetaData "GitConfigForUpdate" "Amazonka.SageMaker.Types.GitConfigForUpdate" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "GitConfigForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "secretArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newGitConfigForUpdate :: GitConfigForUpdate Source #

Create a value of GitConfigForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:secretArn:GitConfigForUpdate', gitConfigForUpdate_secretArn - The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

gitConfigForUpdate_secretArn :: Lens' GitConfigForUpdate (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

HumanLoopActivationConditionsConfig

data HumanLoopActivationConditionsConfig Source #

Defines under what conditions SageMaker creates a human loop. Used within . See for the required format of activation conditions.

See: newHumanLoopActivationConditionsConfig smart constructor.

Constructors

HumanLoopActivationConditionsConfig'

Fields

humanLoopActivationConditions :: Text
JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

Instances

Instances details

Eq HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods (==) :: HumanLoopActivationConditionsConfig -> HumanLoopActivationConditionsConfig -> Bool # (/=) :: HumanLoopActivationConditionsConfig -> HumanLoopActivationConditionsConfig -> Bool #
Read HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods readsPrec :: Int -> ReadS HumanLoopActivationConditionsConfig # readList :: ReadS [HumanLoopActivationConditionsConfig] # readPrec :: ReadPrec HumanLoopActivationConditionsConfig # readListPrec :: ReadPrec [HumanLoopActivationConditionsConfig] #
Show HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods showsPrec :: Int -> HumanLoopActivationConditionsConfig -> ShowS # show :: HumanLoopActivationConditionsConfig -> String # showList :: [HumanLoopActivationConditionsConfig] -> ShowS #
Generic HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Associated Types type Rep HumanLoopActivationConditionsConfig :: Type -> Type # Methods from :: HumanLoopActivationConditionsConfig -> Rep HumanLoopActivationConditionsConfig x # to :: Rep HumanLoopActivationConditionsConfig x -> HumanLoopActivationConditionsConfig #
NFData HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods rnf :: HumanLoopActivationConditionsConfig -> () #
Hashable HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods hashWithSalt :: Int -> HumanLoopActivationConditionsConfig -> Int # hash :: HumanLoopActivationConditionsConfig -> Int #
ToJSON HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods toJSON :: HumanLoopActivationConditionsConfig -> Value # toEncoding :: HumanLoopActivationConditionsConfig -> Encoding # toJSONList :: [HumanLoopActivationConditionsConfig] -> Value # toEncodingList :: [HumanLoopActivationConditionsConfig] -> Encoding #
FromJSON HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig Methods parseJSON :: Value -> Parser HumanLoopActivationConditionsConfig # parseJSONList :: Value -> Parser [HumanLoopActivationConditionsConfig] #
type Rep HumanLoopActivationConditionsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig type Rep HumanLoopActivationConditionsConfig = D1 ('MetaData "HumanLoopActivationConditionsConfig" "Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanLoopActivationConditionsConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopActivationConditions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newHumanLoopActivationConditionsConfig Source #

Arguments

:: Text	`$sel:humanLoopActivationConditions:HumanLoopActivationConditionsConfig'`
-> HumanLoopActivationConditionsConfig

Create a value of HumanLoopActivationConditionsConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopActivationConditions:HumanLoopActivationConditionsConfig', humanLoopActivationConditionsConfig_humanLoopActivationConditions - JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text Source #

JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

HumanLoopActivationConfig

data HumanLoopActivationConfig Source #

Provides information about how and under what conditions SageMaker creates a human loop. If HumanLoopActivationConfig is not given, then all requests go to humans.

See: newHumanLoopActivationConfig smart constructor.

Constructors

HumanLoopActivationConfig'
Fields humanLoopActivationConditionsConfig :: HumanLoopActivationConditionsConfig Container structure for defining under what conditions SageMaker creates a human loop.

Instances

Instances details

Eq HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods (==) :: HumanLoopActivationConfig -> HumanLoopActivationConfig -> Bool # (/=) :: HumanLoopActivationConfig -> HumanLoopActivationConfig -> Bool #
Read HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods readsPrec :: Int -> ReadS HumanLoopActivationConfig # readList :: ReadS [HumanLoopActivationConfig] # readPrec :: ReadPrec HumanLoopActivationConfig # readListPrec :: ReadPrec [HumanLoopActivationConfig] #
Show HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods showsPrec :: Int -> HumanLoopActivationConfig -> ShowS # show :: HumanLoopActivationConfig -> String # showList :: [HumanLoopActivationConfig] -> ShowS #
Generic HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Associated Types type Rep HumanLoopActivationConfig :: Type -> Type # Methods from :: HumanLoopActivationConfig -> Rep HumanLoopActivationConfig x # to :: Rep HumanLoopActivationConfig x -> HumanLoopActivationConfig #
NFData HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods rnf :: HumanLoopActivationConfig -> () #
Hashable HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods hashWithSalt :: Int -> HumanLoopActivationConfig -> Int # hash :: HumanLoopActivationConfig -> Int #
ToJSON HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods toJSON :: HumanLoopActivationConfig -> Value # toEncoding :: HumanLoopActivationConfig -> Encoding # toJSONList :: [HumanLoopActivationConfig] -> Value # toEncodingList :: [HumanLoopActivationConfig] -> Encoding #
FromJSON HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig Methods parseJSON :: Value -> Parser HumanLoopActivationConfig # parseJSONList :: Value -> Parser [HumanLoopActivationConfig] #
type Rep HumanLoopActivationConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig type Rep HumanLoopActivationConfig = D1 ('MetaData "HumanLoopActivationConfig" "Amazonka.SageMaker.Types.HumanLoopActivationConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanLoopActivationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopActivationConditionsConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HumanLoopActivationConditionsConfig)))

newHumanLoopActivationConfig Source #

Arguments

:: HumanLoopActivationConditionsConfig	`$sel:humanLoopActivationConditionsConfig:HumanLoopActivationConfig'`
-> HumanLoopActivationConfig

Create a value of HumanLoopActivationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopActivationConditionsConfig:HumanLoopActivationConfig', humanLoopActivationConfig_humanLoopActivationConditionsConfig - Container structure for defining under what conditions SageMaker creates a human loop.

humanLoopActivationConfig_humanLoopActivationConditionsConfig :: Lens' HumanLoopActivationConfig HumanLoopActivationConditionsConfig Source #

Container structure for defining under what conditions SageMaker creates a human loop.

HumanLoopConfig

data HumanLoopConfig Source #

Describes the work to be performed by human workers.

See: newHumanLoopConfig smart constructor.

Constructors

HumanLoopConfig'

Fields

taskKeywords :: Maybe (NonEmpty Text)
Keywords used to describe the task so that workers can discover the task.
publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice
taskTimeLimitInSeconds :: Maybe Natural
The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).
taskAvailabilityLifetimeInSeconds :: Maybe Natural
The length of time that a task remains available for review by human workers.
workteamArn :: Text
Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.
humanTaskUiArn :: Text
The Amazon Resource Name (ARN) of the human task user interface.
You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.
To learn how to create a custom HTML template, see Create Custom Worker Task Template.
To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.
taskTitle :: Text
A title for the human worker task.
taskDescription :: Text
A description for the human worker task.
taskCount :: Natural
The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

Instances

Instances details

Eq HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods (==) :: HumanLoopConfig -> HumanLoopConfig -> Bool # (/=) :: HumanLoopConfig -> HumanLoopConfig -> Bool #
Read HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods readsPrec :: Int -> ReadS HumanLoopConfig # readList :: ReadS [HumanLoopConfig] # readPrec :: ReadPrec HumanLoopConfig # readListPrec :: ReadPrec [HumanLoopConfig] #
Show HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods showsPrec :: Int -> HumanLoopConfig -> ShowS # show :: HumanLoopConfig -> String # showList :: [HumanLoopConfig] -> ShowS #
Generic HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Associated Types type Rep HumanLoopConfig :: Type -> Type # Methods from :: HumanLoopConfig -> Rep HumanLoopConfig x # to :: Rep HumanLoopConfig x -> HumanLoopConfig #
NFData HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods rnf :: HumanLoopConfig -> () #
Hashable HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods hashWithSalt :: Int -> HumanLoopConfig -> Int # hash :: HumanLoopConfig -> Int #
ToJSON HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods toJSON :: HumanLoopConfig -> Value # toEncoding :: HumanLoopConfig -> Encoding # toJSONList :: [HumanLoopConfig] -> Value # toEncodingList :: [HumanLoopConfig] -> Encoding #
FromJSON HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig Methods parseJSON :: Value -> Parser HumanLoopConfig # parseJSONList :: Value -> Parser [HumanLoopConfig] #
type Rep HumanLoopConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopConfig type Rep HumanLoopConfig = D1 ('MetaData "HumanLoopConfig" "Amazonka.SageMaker.Types.HumanLoopConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanLoopConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "taskKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "publicWorkforceTaskPrice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PublicWorkforceTaskPrice))) :: (S1 ('MetaSel ('Just "taskTimeLimitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "taskAvailabilityLifetimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: ((S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "humanTaskUiArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "taskTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "taskDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "taskCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))))

newHumanLoopConfig Source #

Arguments

:: Text	`$sel:workteamArn:HumanLoopConfig'`
-> Text	`$sel:humanTaskUiArn:HumanLoopConfig'`
-> Text	`$sel:taskTitle:HumanLoopConfig'`
-> Text	`$sel:taskDescription:HumanLoopConfig'`
-> Natural	`$sel:taskCount:HumanLoopConfig'`
-> HumanLoopConfig

Create a value of HumanLoopConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:taskKeywords:HumanLoopConfig', humanLoopConfig_taskKeywords - Keywords used to describe the task so that workers can discover the task.

$sel:publicWorkforceTaskPrice:HumanLoopConfig', humanLoopConfig_publicWorkforceTaskPrice - Undocumented member.

$sel:taskTimeLimitInSeconds:HumanLoopConfig', humanLoopConfig_taskTimeLimitInSeconds - The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).

$sel:taskAvailabilityLifetimeInSeconds:HumanLoopConfig', humanLoopConfig_taskAvailabilityLifetimeInSeconds - The length of time that a task remains available for review by human workers.

$sel:workteamArn:HumanLoopConfig', humanLoopConfig_workteamArn - Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.

$sel:humanTaskUiArn:HumanLoopConfig', humanLoopConfig_humanTaskUiArn - The Amazon Resource Name (ARN) of the human task user interface.

You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.

To learn how to create a custom HTML template, see Create Custom Worker Task Template.

To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.

$sel:taskTitle:HumanLoopConfig', humanLoopConfig_taskTitle - A title for the human worker task.

$sel:taskDescription:HumanLoopConfig', humanLoopConfig_taskDescription - A description for the human worker task.

$sel:taskCount:HumanLoopConfig', humanLoopConfig_taskCount - The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

humanLoopConfig_taskKeywords :: Lens' HumanLoopConfig (Maybe (NonEmpty Text)) Source #

Keywords used to describe the task so that workers can discover the task.

humanLoopConfig_publicWorkforceTaskPrice :: Lens' HumanLoopConfig (Maybe PublicWorkforceTaskPrice) Source #

Undocumented member.

humanLoopConfig_taskTimeLimitInSeconds :: Lens' HumanLoopConfig (Maybe Natural) Source #

The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).

humanLoopConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanLoopConfig (Maybe Natural) Source #

The length of time that a task remains available for review by human workers.

humanLoopConfig_workteamArn :: Lens' HumanLoopConfig Text Source #

Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.

humanLoopConfig_humanTaskUiArn :: Lens' HumanLoopConfig Text Source #

The Amazon Resource Name (ARN) of the human task user interface.

You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.

To learn how to create a custom HTML template, see Create Custom Worker Task Template.

To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.

humanLoopConfig_taskTitle :: Lens' HumanLoopConfig Text Source #

A title for the human worker task.

humanLoopConfig_taskDescription :: Lens' HumanLoopConfig Text Source #

A description for the human worker task.

humanLoopConfig_taskCount :: Lens' HumanLoopConfig Natural Source #

The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

HumanLoopRequestSource

data HumanLoopRequestSource Source #

Container for configuring the source of human task requests.

See: newHumanLoopRequestSource smart constructor.

Constructors

HumanLoopRequestSource'
Fields awsManagedHumanLoopRequestSource :: AwsManagedHumanLoopRequestSource Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:

Instances

Instances details

Eq HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods (==) :: HumanLoopRequestSource -> HumanLoopRequestSource -> Bool # (/=) :: HumanLoopRequestSource -> HumanLoopRequestSource -> Bool #
Read HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods readsPrec :: Int -> ReadS HumanLoopRequestSource # readList :: ReadS [HumanLoopRequestSource] # readPrec :: ReadPrec HumanLoopRequestSource # readListPrec :: ReadPrec [HumanLoopRequestSource] #
Show HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods showsPrec :: Int -> HumanLoopRequestSource -> ShowS # show :: HumanLoopRequestSource -> String # showList :: [HumanLoopRequestSource] -> ShowS #
Generic HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Associated Types type Rep HumanLoopRequestSource :: Type -> Type # Methods from :: HumanLoopRequestSource -> Rep HumanLoopRequestSource x # to :: Rep HumanLoopRequestSource x -> HumanLoopRequestSource #
NFData HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods rnf :: HumanLoopRequestSource -> () #
Hashable HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods hashWithSalt :: Int -> HumanLoopRequestSource -> Int # hash :: HumanLoopRequestSource -> Int #
ToJSON HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods toJSON :: HumanLoopRequestSource -> Value # toEncoding :: HumanLoopRequestSource -> Encoding # toJSONList :: [HumanLoopRequestSource] -> Value # toEncodingList :: [HumanLoopRequestSource] -> Encoding #
FromJSON HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource Methods parseJSON :: Value -> Parser HumanLoopRequestSource # parseJSONList :: Value -> Parser [HumanLoopRequestSource] #
type Rep HumanLoopRequestSource Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource type Rep HumanLoopRequestSource = D1 ('MetaData "HumanLoopRequestSource" "Amazonka.SageMaker.Types.HumanLoopRequestSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanLoopRequestSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "awsManagedHumanLoopRequestSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AwsManagedHumanLoopRequestSource)))

newHumanLoopRequestSource Source #

Arguments

:: AwsManagedHumanLoopRequestSource	`$sel:awsManagedHumanLoopRequestSource:HumanLoopRequestSource'`
-> HumanLoopRequestSource

Create a value of HumanLoopRequestSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:awsManagedHumanLoopRequestSource:HumanLoopRequestSource', humanLoopRequestSource_awsManagedHumanLoopRequestSource - Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:

humanLoopRequestSource_awsManagedHumanLoopRequestSource :: Lens' HumanLoopRequestSource AwsManagedHumanLoopRequestSource Source #

Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:

HumanTaskConfig

data HumanTaskConfig Source #

Information required for human workers to complete a labeling task.

See: newHumanTaskConfig smart constructor.

Constructors

HumanTaskConfig'

Fields

taskKeywords :: Maybe (NonEmpty Text)
Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice
The price that you pay for each task performed by an Amazon Mechanical Turk worker.
taskAvailabilityLifetimeInSeconds :: Maybe Natural
The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.
- If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
- If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact Amazon Web Services Support.
maxConcurrentTaskCount :: Maybe Natural
Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.
workteamArn :: Text
The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
uiConfig :: UiConfig
Information about the user interface that workers use to complete the labeling task.

preHumanTaskLambdaArn :: Text

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

taskTitle :: Text
A title for the task for your human workers.
taskDescription :: Text
A description of the task for your human workers.
numberOfHumanWorkersPerDataObject :: Natural
The number of human workers that will label an object.
taskTimeLimitInSeconds :: Natural
The amount of time that a worker has to complete a task.
If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).
If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:
- For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
- For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact Amazon Web Services Support.
annotationConsolidationConfig :: AnnotationConsolidationConfig
Configures how labels are consolidated across human workers.

Instances

Instances details

Eq HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods (==) :: HumanTaskConfig -> HumanTaskConfig -> Bool # (/=) :: HumanTaskConfig -> HumanTaskConfig -> Bool #
Read HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods readsPrec :: Int -> ReadS HumanTaskConfig # readList :: ReadS [HumanTaskConfig] # readPrec :: ReadPrec HumanTaskConfig # readListPrec :: ReadPrec [HumanTaskConfig] #
Show HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods showsPrec :: Int -> HumanTaskConfig -> ShowS # show :: HumanTaskConfig -> String # showList :: [HumanTaskConfig] -> ShowS #
Generic HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Associated Types type Rep HumanTaskConfig :: Type -> Type # Methods from :: HumanTaskConfig -> Rep HumanTaskConfig x # to :: Rep HumanTaskConfig x -> HumanTaskConfig #
NFData HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods rnf :: HumanTaskConfig -> () #
Hashable HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods hashWithSalt :: Int -> HumanTaskConfig -> Int # hash :: HumanTaskConfig -> Int #
ToJSON HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods toJSON :: HumanTaskConfig -> Value # toEncoding :: HumanTaskConfig -> Encoding # toJSONList :: [HumanTaskConfig] -> Value # toEncodingList :: [HumanTaskConfig] -> Encoding #
FromJSON HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig Methods parseJSON :: Value -> Parser HumanTaskConfig # parseJSONList :: Value -> Parser [HumanTaskConfig] #
type Rep HumanTaskConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskConfig type Rep HumanTaskConfig = D1 ('MetaData "HumanTaskConfig" "Amazonka.SageMaker.Types.HumanTaskConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanTaskConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "taskKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "publicWorkforceTaskPrice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PublicWorkforceTaskPrice)) :: S1 ('MetaSel ('Just "taskAvailabilityLifetimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :: (S1 ('MetaSel ('Just "maxConcurrentTaskCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "uiConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 UiConfig)))) :: ((S1 ('MetaSel ('Just "preHumanTaskLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "taskTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "taskDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "numberOfHumanWorkersPerDataObject") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: (S1 ('MetaSel ('Just "taskTimeLimitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "annotationConsolidationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AnnotationConsolidationConfig))))))

newHumanTaskConfig Source #

Arguments

:: Text	`$sel:workteamArn:HumanTaskConfig'`
-> UiConfig	`$sel:uiConfig:HumanTaskConfig'`
-> Text	`$sel:preHumanTaskLambdaArn:HumanTaskConfig'`
-> Text	`$sel:taskTitle:HumanTaskConfig'`
-> Text	`$sel:taskDescription:HumanTaskConfig'`
-> Natural	`$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig'`
-> Natural	`$sel:taskTimeLimitInSeconds:HumanTaskConfig'`
-> AnnotationConsolidationConfig	`$sel:annotationConsolidationConfig:HumanTaskConfig'`
-> HumanTaskConfig

Create a value of HumanTaskConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:taskKeywords:HumanTaskConfig', humanTaskConfig_taskKeywords - Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

$sel:publicWorkforceTaskPrice:HumanTaskConfig', humanTaskConfig_publicWorkforceTaskPrice - The price that you pay for each task performed by an Amazon Mechanical Turk worker.

$sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig', humanTaskConfig_taskAvailabilityLifetimeInSeconds - The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact Amazon Web Services Support.

$sel:maxConcurrentTaskCount:HumanTaskConfig', humanTaskConfig_maxConcurrentTaskCount - Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.

$sel:workteamArn:HumanTaskConfig', humanTaskConfig_workteamArn - The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

$sel:uiConfig:HumanTaskConfig', humanTaskConfig_uiConfig - Information about the user interface that workers use to complete the labeling task.

$sel:preHumanTaskLambdaArn:HumanTaskConfig', humanTaskConfig_preHumanTaskLambdaArn - The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

$sel:taskTitle:HumanTaskConfig', humanTaskConfig_taskTitle - A title for the task for your human workers.

$sel:taskDescription:HumanTaskConfig', humanTaskConfig_taskDescription - A description of the task for your human workers.

$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig', humanTaskConfig_numberOfHumanWorkersPerDataObject - The number of human workers that will label an object.

$sel:taskTimeLimitInSeconds:HumanTaskConfig', humanTaskConfig_taskTimeLimitInSeconds - The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact Amazon Web Services Support.

$sel:annotationConsolidationConfig:HumanTaskConfig', humanTaskConfig_annotationConsolidationConfig - Configures how labels are consolidated across human workers.

humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text)) Source #

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice) Source #

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural) Source #

The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
If you choose a private or vendor workforce, the default value is 10 days (864,000 seconds). For most users, the maximum is also 10 days. If you want to change this limit, contact Amazon Web Services Support.

humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural) Source #

Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects.

humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text Source #

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig Source #

Information about the user interface that workers use to complete the labeling task.

humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text Source #

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition

arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition

arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition

arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition

arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation

arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text Source #

A title for the task for your human workers.

humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text Source #

A description of the task for your human workers.

humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural Source #

The number of human workers that will label an object.

humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural Source #

The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
For 3D point cloud and video frame labeling jobs, the maximum is 7 days (604,800 seconds). If you want to change these limits, contact Amazon Web Services Support.

humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig Source #

Configures how labels are consolidated across human workers.

HumanTaskUiSummary

data HumanTaskUiSummary Source #

Container for human task user interface information.

See: newHumanTaskUiSummary smart constructor.

Constructors

HumanTaskUiSummary'
Fields humanTaskUiName :: Text The name of the human task user interface. humanTaskUiArn :: Text The Amazon Resource Name (ARN) of the human task user interface. creationTime :: POSIX A timestamp when SageMaker created the human task user interface.

Instances

Instances details

Eq HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Methods (==) :: HumanTaskUiSummary -> HumanTaskUiSummary -> Bool # (/=) :: HumanTaskUiSummary -> HumanTaskUiSummary -> Bool #
Read HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Methods readsPrec :: Int -> ReadS HumanTaskUiSummary # readList :: ReadS [HumanTaskUiSummary] # readPrec :: ReadPrec HumanTaskUiSummary # readListPrec :: ReadPrec [HumanTaskUiSummary] #
Show HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Methods showsPrec :: Int -> HumanTaskUiSummary -> ShowS # show :: HumanTaskUiSummary -> String # showList :: [HumanTaskUiSummary] -> ShowS #
Generic HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Associated Types type Rep HumanTaskUiSummary :: Type -> Type # Methods from :: HumanTaskUiSummary -> Rep HumanTaskUiSummary x # to :: Rep HumanTaskUiSummary x -> HumanTaskUiSummary #
NFData HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Methods rnf :: HumanTaskUiSummary -> () #
Hashable HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Methods hashWithSalt :: Int -> HumanTaskUiSummary -> Int # hash :: HumanTaskUiSummary -> Int #
FromJSON HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary Methods parseJSON :: Value -> Parser HumanTaskUiSummary # parseJSONList :: Value -> Parser [HumanTaskUiSummary] #
type Rep HumanTaskUiSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary type Rep HumanTaskUiSummary = D1 ('MetaData "HumanTaskUiSummary" "Amazonka.SageMaker.Types.HumanTaskUiSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HumanTaskUiSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanTaskUiName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "humanTaskUiArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newHumanTaskUiSummary Source #

Arguments

:: Text	`$sel:humanTaskUiName:HumanTaskUiSummary'`
-> Text	`$sel:humanTaskUiArn:HumanTaskUiSummary'`
-> UTCTime	`$sel:creationTime:HumanTaskUiSummary'`
-> HumanTaskUiSummary

Create a value of HumanTaskUiSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanTaskUiName:HumanTaskUiSummary', humanTaskUiSummary_humanTaskUiName - The name of the human task user interface.

$sel:humanTaskUiArn:HumanTaskUiSummary', humanTaskUiSummary_humanTaskUiArn - The Amazon Resource Name (ARN) of the human task user interface.

$sel:creationTime:HumanTaskUiSummary', humanTaskUiSummary_creationTime - A timestamp when SageMaker created the human task user interface.

humanTaskUiSummary_humanTaskUiName :: Lens' HumanTaskUiSummary Text Source #

The name of the human task user interface.

humanTaskUiSummary_humanTaskUiArn :: Lens' HumanTaskUiSummary Text Source #

The Amazon Resource Name (ARN) of the human task user interface.

humanTaskUiSummary_creationTime :: Lens' HumanTaskUiSummary UTCTime Source #

A timestamp when SageMaker created the human task user interface.

HyperParameterAlgorithmSpecification

data HyperParameterAlgorithmSpecification Source #

Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.

See: newHyperParameterAlgorithmSpecification smart constructor.

Constructors

HyperParameterAlgorithmSpecification'

Fields

algorithmName :: Maybe Text
The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.
trainingImage :: Maybe Text
The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
metricDefinitions :: Maybe [MetricDefinition]
An array of MetricDefinition objects that specify the metrics that the algorithm emits.
trainingInputMode :: TrainingInputMode

Instances

Instances details

Eq HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods (==) :: HyperParameterAlgorithmSpecification -> HyperParameterAlgorithmSpecification -> Bool # (/=) :: HyperParameterAlgorithmSpecification -> HyperParameterAlgorithmSpecification -> Bool #
Read HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods readsPrec :: Int -> ReadS HyperParameterAlgorithmSpecification # readList :: ReadS [HyperParameterAlgorithmSpecification] # readPrec :: ReadPrec HyperParameterAlgorithmSpecification # readListPrec :: ReadPrec [HyperParameterAlgorithmSpecification] #
Show HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods showsPrec :: Int -> HyperParameterAlgorithmSpecification -> ShowS # show :: HyperParameterAlgorithmSpecification -> String # showList :: [HyperParameterAlgorithmSpecification] -> ShowS #
Generic HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Associated Types type Rep HyperParameterAlgorithmSpecification :: Type -> Type # Methods from :: HyperParameterAlgorithmSpecification -> Rep HyperParameterAlgorithmSpecification x # to :: Rep HyperParameterAlgorithmSpecification x -> HyperParameterAlgorithmSpecification #
NFData HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods rnf :: HyperParameterAlgorithmSpecification -> () #
Hashable HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods hashWithSalt :: Int -> HyperParameterAlgorithmSpecification -> Int # hash :: HyperParameterAlgorithmSpecification -> Int #
ToJSON HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods toJSON :: HyperParameterAlgorithmSpecification -> Value # toEncoding :: HyperParameterAlgorithmSpecification -> Encoding # toJSONList :: [HyperParameterAlgorithmSpecification] -> Value # toEncodingList :: [HyperParameterAlgorithmSpecification] -> Encoding #
FromJSON HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification Methods parseJSON :: Value -> Parser HyperParameterAlgorithmSpecification # parseJSONList :: Value -> Parser [HyperParameterAlgorithmSpecification] #
type Rep HyperParameterAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification type Rep HyperParameterAlgorithmSpecification = D1 ('MetaData "HyperParameterAlgorithmSpecification" "Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterAlgorithmSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trainingImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "metricDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDefinition])) :*: S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInputMode))))

newHyperParameterAlgorithmSpecification Source #

Arguments

:: TrainingInputMode	`$sel:trainingInputMode:HyperParameterAlgorithmSpecification'`
-> HyperParameterAlgorithmSpecification

Create a value of HyperParameterAlgorithmSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmName:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_algorithmName - The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.

$sel:trainingImage:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_trainingImage - The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

$sel:metricDefinitions:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_metricDefinitions - An array of MetricDefinition objects that specify the metrics that the algorithm emits.

$sel:trainingInputMode:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_trainingInputMode - Undocumented member.

hyperParameterAlgorithmSpecification_algorithmName :: Lens' HyperParameterAlgorithmSpecification (Maybe Text) Source #

The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.

hyperParameterAlgorithmSpecification_trainingImage :: Lens' HyperParameterAlgorithmSpecification (Maybe Text) Source #

The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

hyperParameterAlgorithmSpecification_metricDefinitions :: Lens' HyperParameterAlgorithmSpecification (Maybe [MetricDefinition]) Source #

An array of MetricDefinition objects that specify the metrics that the algorithm emits.

hyperParameterAlgorithmSpecification_trainingInputMode :: Lens' HyperParameterAlgorithmSpecification TrainingInputMode Source #

Undocumented member.

HyperParameterSpecification

data HyperParameterSpecification Source #

Defines a hyperparameter to be used by an algorithm.

See: newHyperParameterSpecification smart constructor.

Constructors

HyperParameterSpecification'

Fields

isTunable :: Maybe Bool
Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
range :: Maybe ParameterRange
The allowed range for this hyperparameter.
defaultValue :: Maybe Text
The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.
isRequired :: Maybe Bool
Indicates whether this hyperparameter is required.
description :: Maybe Text
A brief description of the hyperparameter.
name :: Text
The name of this hyperparameter. The name must be unique.
type' :: ParameterType
The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.

Instances

Instances details

Eq HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods (==) :: HyperParameterSpecification -> HyperParameterSpecification -> Bool # (/=) :: HyperParameterSpecification -> HyperParameterSpecification -> Bool #
Read HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods readsPrec :: Int -> ReadS HyperParameterSpecification # readList :: ReadS [HyperParameterSpecification] # readPrec :: ReadPrec HyperParameterSpecification # readListPrec :: ReadPrec [HyperParameterSpecification] #
Show HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods showsPrec :: Int -> HyperParameterSpecification -> ShowS # show :: HyperParameterSpecification -> String # showList :: [HyperParameterSpecification] -> ShowS #
Generic HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Associated Types type Rep HyperParameterSpecification :: Type -> Type # Methods from :: HyperParameterSpecification -> Rep HyperParameterSpecification x # to :: Rep HyperParameterSpecification x -> HyperParameterSpecification #
NFData HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods rnf :: HyperParameterSpecification -> () #
Hashable HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods hashWithSalt :: Int -> HyperParameterSpecification -> Int # hash :: HyperParameterSpecification -> Int #
ToJSON HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods toJSON :: HyperParameterSpecification -> Value # toEncoding :: HyperParameterSpecification -> Encoding # toJSONList :: [HyperParameterSpecification] -> Value # toEncodingList :: [HyperParameterSpecification] -> Encoding #
FromJSON HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification Methods parseJSON :: Value -> Parser HyperParameterSpecification # parseJSONList :: Value -> Parser [HyperParameterSpecification] #
type Rep HyperParameterSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterSpecification type Rep HyperParameterSpecification = D1 ('MetaData "HyperParameterSpecification" "Amazonka.SageMaker.Types.HyperParameterSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "isTunable") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "range") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRange)) :: S1 ('MetaSel ('Just "defaultValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "isRequired") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ParameterType)))))

newHyperParameterSpecification Source #

Arguments

:: Text	`$sel:name:HyperParameterSpecification'`
-> ParameterType	`$sel:type':HyperParameterSpecification'`
-> HyperParameterSpecification

Create a value of HyperParameterSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:isTunable:HyperParameterSpecification', hyperParameterSpecification_isTunable - Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.

$sel:range:HyperParameterSpecification', hyperParameterSpecification_range - The allowed range for this hyperparameter.

$sel:defaultValue:HyperParameterSpecification', hyperParameterSpecification_defaultValue - The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.

$sel:isRequired:HyperParameterSpecification', hyperParameterSpecification_isRequired - Indicates whether this hyperparameter is required.

$sel:description:HyperParameterSpecification', hyperParameterSpecification_description - A brief description of the hyperparameter.

$sel:name:HyperParameterSpecification', hyperParameterSpecification_name - The name of this hyperparameter. The name must be unique.

$sel:type':HyperParameterSpecification', hyperParameterSpecification_type - The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.

hyperParameterSpecification_isTunable :: Lens' HyperParameterSpecification (Maybe Bool) Source #

Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.

hyperParameterSpecification_range :: Lens' HyperParameterSpecification (Maybe ParameterRange) Source #

The allowed range for this hyperparameter.

hyperParameterSpecification_defaultValue :: Lens' HyperParameterSpecification (Maybe Text) Source #

The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.

hyperParameterSpecification_isRequired :: Lens' HyperParameterSpecification (Maybe Bool) Source #

Indicates whether this hyperparameter is required.

hyperParameterSpecification_description :: Lens' HyperParameterSpecification (Maybe Text) Source #

A brief description of the hyperparameter.

hyperParameterSpecification_name :: Lens' HyperParameterSpecification Text Source #

The name of this hyperparameter. The name must be unique.

hyperParameterSpecification_type :: Lens' HyperParameterSpecification ParameterType Source #

The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.

HyperParameterTrainingJobDefinition

data HyperParameterTrainingJobDefinition Source #

Defines the training jobs launched by a hyperparameter tuning job.

See: newHyperParameterTrainingJobDefinition smart constructor.

Constructors

HyperParameterTrainingJobDefinition'

Fields

tuningObjective :: Maybe HyperParameterTuningJobObjective
checkpointConfig :: Maybe CheckpointConfig
hyperParameterRanges :: Maybe ParameterRanges
retryStrategy :: Maybe RetryStrategy
The number of times to retry the job when the job fails due to an InternalServerError.
enableNetworkIsolation :: Maybe Bool
Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
staticHyperParameters :: Maybe (HashMap Text Text)
Specifies the values of hyperparameters that do not change for the tuning job.
enableManagedSpotTraining :: Maybe Bool
A Boolean indicating whether managed spot training is enabled (True) or not (False).
inputDataConfig :: Maybe (NonEmpty Channel)
An array of Channel objects that specify the input for the training jobs that the tuning job launches.
vpcConfig :: Maybe VpcConfig
The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
definitionName :: Maybe Text
The job definition name.
enableInterContainerTrafficEncryption :: Maybe Bool
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
algorithmSpecification :: HyperParameterAlgorithmSpecification
The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.
roleArn :: Text
The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
outputDataConfig :: OutputDataConfig
Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.
resourceConfig :: ResourceConfig
The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want Amazon SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
stoppingCondition :: StoppingCondition
Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

Instances

Instances details

Eq HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods (==) :: HyperParameterTrainingJobDefinition -> HyperParameterTrainingJobDefinition -> Bool # (/=) :: HyperParameterTrainingJobDefinition -> HyperParameterTrainingJobDefinition -> Bool #
Read HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods readsPrec :: Int -> ReadS HyperParameterTrainingJobDefinition # readList :: ReadS [HyperParameterTrainingJobDefinition] # readPrec :: ReadPrec HyperParameterTrainingJobDefinition # readListPrec :: ReadPrec [HyperParameterTrainingJobDefinition] #
Show HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods showsPrec :: Int -> HyperParameterTrainingJobDefinition -> ShowS # show :: HyperParameterTrainingJobDefinition -> String # showList :: [HyperParameterTrainingJobDefinition] -> ShowS #
Generic HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Associated Types type Rep HyperParameterTrainingJobDefinition :: Type -> Type # Methods from :: HyperParameterTrainingJobDefinition -> Rep HyperParameterTrainingJobDefinition x # to :: Rep HyperParameterTrainingJobDefinition x -> HyperParameterTrainingJobDefinition #
NFData HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods rnf :: HyperParameterTrainingJobDefinition -> () #
Hashable HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods hashWithSalt :: Int -> HyperParameterTrainingJobDefinition -> Int # hash :: HyperParameterTrainingJobDefinition -> Int #
ToJSON HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods toJSON :: HyperParameterTrainingJobDefinition -> Value # toEncoding :: HyperParameterTrainingJobDefinition -> Encoding # toJSONList :: [HyperParameterTrainingJobDefinition] -> Value # toEncodingList :: [HyperParameterTrainingJobDefinition] -> Encoding #
FromJSON HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition Methods parseJSON :: Value -> Parser HyperParameterTrainingJobDefinition # parseJSONList :: Value -> Parser [HyperParameterTrainingJobDefinition] #
type Rep HyperParameterTrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition type Rep HyperParameterTrainingJobDefinition = D1 ('MetaData "HyperParameterTrainingJobDefinition" "Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTrainingJobDefinition'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "tuningObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobObjective)) :: S1 ('MetaSel ('Just "checkpointConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CheckpointConfig))) :: (S1 ('MetaSel ('Just "hyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRanges)) :: S1 ('MetaSel ('Just "retryStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RetryStrategy)))) :: ((S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "staticHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))) :: (S1 ('MetaSel ('Just "enableManagedSpotTraining") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Channel)))))) :: (((S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)) :: S1 ('MetaSel ('Just "definitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "algorithmSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterAlgorithmSpecification))) :: ((S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputDataConfig)) :: (S1 ('MetaSel ('Just "resourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ResourceConfig) :*: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StoppingCondition))))))

newHyperParameterTrainingJobDefinition Source #

Arguments

:: HyperParameterAlgorithmSpecification	`$sel:algorithmSpecification:HyperParameterTrainingJobDefinition'`
-> Text	`$sel:roleArn:HyperParameterTrainingJobDefinition'`
-> OutputDataConfig	`$sel:outputDataConfig:HyperParameterTrainingJobDefinition'`
-> ResourceConfig	`$sel:resourceConfig:HyperParameterTrainingJobDefinition'`
-> StoppingCondition	`$sel:stoppingCondition:HyperParameterTrainingJobDefinition'`
-> HyperParameterTrainingJobDefinition

Create a value of HyperParameterTrainingJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tuningObjective:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_tuningObjective - Undocumented member.

$sel:checkpointConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_checkpointConfig - Undocumented member.

$sel:hyperParameterRanges:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_hyperParameterRanges - Undocumented member.

$sel:retryStrategy:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_retryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.

$sel:enableNetworkIsolation:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_enableNetworkIsolation - Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.

$sel:staticHyperParameters:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_staticHyperParameters - Specifies the values of hyperparameters that do not change for the tuning job.

$sel:enableManagedSpotTraining:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_enableManagedSpotTraining - A Boolean indicating whether managed spot training is enabled (True) or not (False).

$sel:inputDataConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_inputDataConfig - An array of Channel objects that specify the input for the training jobs that the tuning job launches.

$sel:vpcConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_vpcConfig - The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

$sel:definitionName:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_definitionName - The job definition name.

$sel:enableInterContainerTrafficEncryption:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption - To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

$sel:algorithmSpecification:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_algorithmSpecification - The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.

$sel:roleArn:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_roleArn - The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.

$sel:outputDataConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_outputDataConfig - Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.

$sel:resourceConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_resourceConfig - The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.

Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want Amazon SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.

$sel:stoppingCondition:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_stoppingCondition - Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

hyperParameterTrainingJobDefinition_tuningObjective :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningJobObjective) Source #

Undocumented member.

hyperParameterTrainingJobDefinition_checkpointConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe CheckpointConfig) Source #

Undocumented member.

hyperParameterTrainingJobDefinition_hyperParameterRanges :: Lens' HyperParameterTrainingJobDefinition (Maybe ParameterRanges) Source #

Undocumented member.

hyperParameterTrainingJobDefinition_retryStrategy :: Lens' HyperParameterTrainingJobDefinition (Maybe RetryStrategy) Source #

The number of times to retry the job when the job fails due to an InternalServerError.

hyperParameterTrainingJobDefinition_enableNetworkIsolation :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #

Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.

hyperParameterTrainingJobDefinition_staticHyperParameters :: Lens' HyperParameterTrainingJobDefinition (Maybe (HashMap Text Text)) Source #

Specifies the values of hyperparameters that do not change for the tuning job.

hyperParameterTrainingJobDefinition_enableManagedSpotTraining :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #

A Boolean indicating whether managed spot training is enabled (True) or not (False).

hyperParameterTrainingJobDefinition_inputDataConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe (NonEmpty Channel)) Source #

An array of Channel objects that specify the input for the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_vpcConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe VpcConfig) Source #

The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

hyperParameterTrainingJobDefinition_definitionName :: Lens' HyperParameterTrainingJobDefinition (Maybe Text) Source #

The job definition name.

hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #

To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

hyperParameterTrainingJobDefinition_algorithmSpecification :: Lens' HyperParameterTrainingJobDefinition HyperParameterAlgorithmSpecification Source #

The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_roleArn :: Lens' HyperParameterTrainingJobDefinition Text Source #

The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_outputDataConfig :: Lens' HyperParameterTrainingJobDefinition OutputDataConfig Source #

Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_resourceConfig :: Lens' HyperParameterTrainingJobDefinition ResourceConfig Source #

The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.

Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want Amazon SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.

hyperParameterTrainingJobDefinition_stoppingCondition :: Lens' HyperParameterTrainingJobDefinition StoppingCondition Source #

Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

HyperParameterTrainingJobSummary

data HyperParameterTrainingJobSummary Source #

Specifies summary information about a training job.

See: newHyperParameterTrainingJobSummary smart constructor.

Constructors

HyperParameterTrainingJobSummary'

Fields

failureReason :: Maybe Text
The reason that the training job failed.
tuningJobName :: Maybe Text
The HyperParameter tuning job that launched the training job.
trainingEndTime :: Maybe POSIX
Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
objectiveStatus :: Maybe ObjectiveStatus
The status of the objective metric for the training job:
- Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
- Pending: The training job is in progress and evaluation of its final objective metric is pending.
- Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
trainingJobDefinitionName :: Maybe Text
The training job definition name.
trainingStartTime :: Maybe POSIX
The date and time that the training job started.
finalHyperParameterTuningJobObjectiveMetric :: Maybe FinalHyperParameterTuningJobObjectiveMetric
The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
trainingJobName :: Text
The name of the training job.
trainingJobArn :: Text
The Amazon Resource Name (ARN) of the training job.
creationTime :: POSIX
The date and time that the training job was created.
trainingJobStatus :: TrainingJobStatus
The status of the training job.
tunedHyperParameters :: HashMap Text Text
A list of the hyperparameters for which you specified ranges to search.

Instances

Instances details

Eq HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Methods (==) :: HyperParameterTrainingJobSummary -> HyperParameterTrainingJobSummary -> Bool # (/=) :: HyperParameterTrainingJobSummary -> HyperParameterTrainingJobSummary -> Bool #
Read HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Methods readsPrec :: Int -> ReadS HyperParameterTrainingJobSummary # readList :: ReadS [HyperParameterTrainingJobSummary] # readPrec :: ReadPrec HyperParameterTrainingJobSummary # readListPrec :: ReadPrec [HyperParameterTrainingJobSummary] #
Show HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Methods showsPrec :: Int -> HyperParameterTrainingJobSummary -> ShowS # show :: HyperParameterTrainingJobSummary -> String # showList :: [HyperParameterTrainingJobSummary] -> ShowS #
Generic HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Associated Types type Rep HyperParameterTrainingJobSummary :: Type -> Type # Methods from :: HyperParameterTrainingJobSummary -> Rep HyperParameterTrainingJobSummary x # to :: Rep HyperParameterTrainingJobSummary x -> HyperParameterTrainingJobSummary #
NFData HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Methods rnf :: HyperParameterTrainingJobSummary -> () #
Hashable HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Methods hashWithSalt :: Int -> HyperParameterTrainingJobSummary -> Int # hash :: HyperParameterTrainingJobSummary -> Int #
FromJSON HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary Methods parseJSON :: Value -> Parser HyperParameterTrainingJobSummary # parseJSONList :: Value -> Parser [HyperParameterTrainingJobSummary] #
type Rep HyperParameterTrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary type Rep HyperParameterTrainingJobSummary = D1 ('MetaData "HyperParameterTrainingJobSummary" "Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTrainingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "tuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trainingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "objectiveStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ObjectiveStatus)) :: (S1 ('MetaSel ('Just "trainingJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trainingStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "finalHyperParameterTuningJobObjectiveMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FinalHyperParameterTuningJobObjectiveMetric)) :: (S1 ('MetaSel ('Just "trainingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: (S1 ('MetaSel ('Just "trainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatus) :*: S1 ('MetaSel ('Just "tunedHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (HashMap Text Text)))))))

newHyperParameterTrainingJobSummary Source #

Arguments

:: Text	`$sel:trainingJobName:HyperParameterTrainingJobSummary'`
-> Text	`$sel:trainingJobArn:HyperParameterTrainingJobSummary'`
-> UTCTime	`$sel:creationTime:HyperParameterTrainingJobSummary'`
-> TrainingJobStatus	`$sel:trainingJobStatus:HyperParameterTrainingJobSummary'`
-> HyperParameterTrainingJobSummary

Create a value of HyperParameterTrainingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_failureReason - The reason that the training job failed.

$sel:tuningJobName:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_tuningJobName - The HyperParameter tuning job that launched the training job.

$sel:trainingEndTime:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingEndTime - Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.

$sel:objectiveStatus:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_objectiveStatus - The status of the objective metric for the training job:

Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
Pending: The training job is in progress and evaluation of its final objective metric is pending.
Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

$sel:trainingJobDefinitionName:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobDefinitionName - The training job definition name.

$sel:trainingStartTime:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingStartTime - The date and time that the training job started.

$sel:finalHyperParameterTuningJobObjectiveMetric:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric - The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.

$sel:trainingJobName:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobName - The name of the training job.

$sel:trainingJobArn:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobArn - The Amazon Resource Name (ARN) of the training job.

$sel:creationTime:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_creationTime - The date and time that the training job was created.

$sel:trainingJobStatus:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobStatus - The status of the training job.

$sel:tunedHyperParameters:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_tunedHyperParameters - A list of the hyperparameters for which you specified ranges to search.

hyperParameterTrainingJobSummary_failureReason :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #

The reason that the training job failed.

hyperParameterTrainingJobSummary_tuningJobName :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #

The HyperParameter tuning job that launched the training job.

hyperParameterTrainingJobSummary_trainingEndTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime) Source #

Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.

hyperParameterTrainingJobSummary_objectiveStatus :: Lens' HyperParameterTrainingJobSummary (Maybe ObjectiveStatus) Source #

The status of the objective metric for the training job:

Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
Pending: The training job is in progress and evaluation of its final objective metric is pending.
Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

hyperParameterTrainingJobSummary_trainingJobDefinitionName :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #

The training job definition name.

hyperParameterTrainingJobSummary_trainingStartTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime) Source #

The date and time that the training job started.

hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric :: Lens' HyperParameterTrainingJobSummary (Maybe FinalHyperParameterTuningJobObjectiveMetric) Source #

The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.

hyperParameterTrainingJobSummary_trainingJobName :: Lens' HyperParameterTrainingJobSummary Text Source #

The name of the training job.

hyperParameterTrainingJobSummary_trainingJobArn :: Lens' HyperParameterTrainingJobSummary Text Source #

The Amazon Resource Name (ARN) of the training job.

hyperParameterTrainingJobSummary_creationTime :: Lens' HyperParameterTrainingJobSummary UTCTime Source #

The date and time that the training job was created.

hyperParameterTrainingJobSummary_trainingJobStatus :: Lens' HyperParameterTrainingJobSummary TrainingJobStatus Source #

The status of the training job.

hyperParameterTrainingJobSummary_tunedHyperParameters :: Lens' HyperParameterTrainingJobSummary (HashMap Text Text) Source #

A list of the hyperparameters for which you specified ranges to search.

HyperParameterTuningJobConfig

data HyperParameterTuningJobConfig Source #

Configures a hyperparameter tuning job.

See: newHyperParameterTuningJobConfig smart constructor.

Constructors

HyperParameterTuningJobConfig'

Fields

tuningJobCompletionCriteria :: Maybe TuningJobCompletionCriteria
The tuning job's completion criteria.
parameterRanges :: Maybe ParameterRanges
The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
hyperParameterTuningJobObjective :: Maybe HyperParameterTuningJobObjective
The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
trainingJobEarlyStoppingType :: Maybe TrainingJobEarlyStoppingType
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF):
OFF
Training jobs launched by the hyperparameter tuning job do not use early stopping.
AUTO
Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
strategy :: HyperParameterTuningJobStrategyType
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to Bayesian. To randomly search, set it to Random. For information about search strategies, see How Hyperparameter Tuning Works.
resourceLimits :: ResourceLimits
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.

Instances

Instances details

Eq HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods (==) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool # (/=) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool #
Read HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods readsPrec :: Int -> ReadS HyperParameterTuningJobConfig # readList :: ReadS [HyperParameterTuningJobConfig] # readPrec :: ReadPrec HyperParameterTuningJobConfig # readListPrec :: ReadPrec [HyperParameterTuningJobConfig] #
Show HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods showsPrec :: Int -> HyperParameterTuningJobConfig -> ShowS # show :: HyperParameterTuningJobConfig -> String # showList :: [HyperParameterTuningJobConfig] -> ShowS #
Generic HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Associated Types type Rep HyperParameterTuningJobConfig :: Type -> Type # Methods from :: HyperParameterTuningJobConfig -> Rep HyperParameterTuningJobConfig x # to :: Rep HyperParameterTuningJobConfig x -> HyperParameterTuningJobConfig #
NFData HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods rnf :: HyperParameterTuningJobConfig -> () #
Hashable HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods hashWithSalt :: Int -> HyperParameterTuningJobConfig -> Int # hash :: HyperParameterTuningJobConfig -> Int #
ToJSON HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods toJSON :: HyperParameterTuningJobConfig -> Value # toEncoding :: HyperParameterTuningJobConfig -> Encoding # toJSONList :: [HyperParameterTuningJobConfig] -> Value # toEncodingList :: [HyperParameterTuningJobConfig] -> Encoding #
FromJSON HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig Methods parseJSON :: Value -> Parser HyperParameterTuningJobConfig # parseJSONList :: Value -> Parser [HyperParameterTuningJobConfig] #
type Rep HyperParameterTuningJobConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig type Rep HyperParameterTuningJobConfig = D1 ('MetaData "HyperParameterTuningJobConfig" "Amazonka.SageMaker.Types.HyperParameterTuningJobConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTuningJobConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "tuningJobCompletionCriteria") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TuningJobCompletionCriteria)) :: (S1 ('MetaSel ('Just "parameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRanges)) :: S1 ('MetaSel ('Just "hyperParameterTuningJobObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobObjective)))) :: (S1 ('MetaSel ('Just "trainingJobEarlyStoppingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobEarlyStoppingType)) :: (S1 ('MetaSel ('Just "strategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStrategyType) :*: S1 ('MetaSel ('Just "resourceLimits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ResourceLimits)))))

newHyperParameterTuningJobConfig Source #

Arguments

:: HyperParameterTuningJobStrategyType	`$sel:strategy:HyperParameterTuningJobConfig'`
-> ResourceLimits	`$sel:resourceLimits:HyperParameterTuningJobConfig'`
-> HyperParameterTuningJobConfig

Create a value of HyperParameterTuningJobConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tuningJobCompletionCriteria:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_tuningJobCompletionCriteria - The tuning job's completion criteria.

$sel:parameterRanges:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_parameterRanges - The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.

$sel:hyperParameterTuningJobObjective:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_hyperParameterTuningJobObjective - The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.

$sel:trainingJobEarlyStoppingType:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_trainingJobEarlyStoppingType - Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF):

OFF: Training jobs launched by the hyperparameter tuning job do not use early stopping.
AUTO: Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.

$sel:strategy:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_strategy - Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to Bayesian. To randomly search, set it to Random. For information about search strategies, see How Hyperparameter Tuning Works.

$sel:resourceLimits:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_resourceLimits - The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.

hyperParameterTuningJobConfig_tuningJobCompletionCriteria :: Lens' HyperParameterTuningJobConfig (Maybe TuningJobCompletionCriteria) Source #

The tuning job's completion criteria.

hyperParameterTuningJobConfig_parameterRanges :: Lens' HyperParameterTuningJobConfig (Maybe ParameterRanges) Source #

The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.

hyperParameterTuningJobConfig_hyperParameterTuningJobObjective :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobObjective) Source #

The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.

hyperParameterTuningJobConfig_trainingJobEarlyStoppingType :: Lens' HyperParameterTuningJobConfig (Maybe TrainingJobEarlyStoppingType) Source #

Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF):

OFF: Training jobs launched by the hyperparameter tuning job do not use early stopping.
AUTO: Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.

hyperParameterTuningJobConfig_strategy :: Lens' HyperParameterTuningJobConfig HyperParameterTuningJobStrategyType Source #

Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to Bayesian. To randomly search, set it to Random. For information about search strategies, see How Hyperparameter Tuning Works.

hyperParameterTuningJobConfig_resourceLimits :: Lens' HyperParameterTuningJobConfig ResourceLimits Source #

The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.

HyperParameterTuningJobObjective

data HyperParameterTuningJobObjective Source #

Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter.

See: newHyperParameterTuningJobObjective smart constructor.

Constructors

HyperParameterTuningJobObjective'
Fields type' :: HyperParameterTuningJobObjectiveType Whether to minimize or maximize the objective metric. metricName :: Text The name of the metric to use for the objective metric.

Instances

Instances details

Eq HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods (==) :: HyperParameterTuningJobObjective -> HyperParameterTuningJobObjective -> Bool # (/=) :: HyperParameterTuningJobObjective -> HyperParameterTuningJobObjective -> Bool #
Read HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods readsPrec :: Int -> ReadS HyperParameterTuningJobObjective # readList :: ReadS [HyperParameterTuningJobObjective] # readPrec :: ReadPrec HyperParameterTuningJobObjective # readListPrec :: ReadPrec [HyperParameterTuningJobObjective] #
Show HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods showsPrec :: Int -> HyperParameterTuningJobObjective -> ShowS # show :: HyperParameterTuningJobObjective -> String # showList :: [HyperParameterTuningJobObjective] -> ShowS #
Generic HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Associated Types type Rep HyperParameterTuningJobObjective :: Type -> Type # Methods from :: HyperParameterTuningJobObjective -> Rep HyperParameterTuningJobObjective x # to :: Rep HyperParameterTuningJobObjective x -> HyperParameterTuningJobObjective #
NFData HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods rnf :: HyperParameterTuningJobObjective -> () #
Hashable HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods hashWithSalt :: Int -> HyperParameterTuningJobObjective -> Int # hash :: HyperParameterTuningJobObjective -> Int #
ToJSON HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods toJSON :: HyperParameterTuningJobObjective -> Value # toEncoding :: HyperParameterTuningJobObjective -> Encoding # toJSONList :: [HyperParameterTuningJobObjective] -> Value # toEncodingList :: [HyperParameterTuningJobObjective] -> Encoding #
FromJSON HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective Methods parseJSON :: Value -> Parser HyperParameterTuningJobObjective # parseJSONList :: Value -> Parser [HyperParameterTuningJobObjective] #
type Rep HyperParameterTuningJobObjective Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective type Rep HyperParameterTuningJobObjective = D1 ('MetaData "HyperParameterTuningJobObjective" "Amazonka.SageMaker.Types.HyperParameterTuningJobObjective" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTuningJobObjective'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobObjectiveType) :*: S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newHyperParameterTuningJobObjective Source #

Arguments

:: HyperParameterTuningJobObjectiveType	`$sel:type':HyperParameterTuningJobObjective'`
-> Text	`$sel:metricName:HyperParameterTuningJobObjective'`
-> HyperParameterTuningJobObjective

Create a value of HyperParameterTuningJobObjective with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':HyperParameterTuningJobObjective', hyperParameterTuningJobObjective_type - Whether to minimize or maximize the objective metric.

$sel:metricName:HyperParameterTuningJobObjective', hyperParameterTuningJobObjective_metricName - The name of the metric to use for the objective metric.

hyperParameterTuningJobObjective_type :: Lens' HyperParameterTuningJobObjective HyperParameterTuningJobObjectiveType Source #

Whether to minimize or maximize the objective metric.

hyperParameterTuningJobObjective_metricName :: Lens' HyperParameterTuningJobObjective Text Source #

The name of the metric to use for the objective metric.

HyperParameterTuningJobSummary

data HyperParameterTuningJobSummary Source #

Provides summary information about a hyperparameter tuning job.

See: newHyperParameterTuningJobSummary smart constructor.

Constructors

HyperParameterTuningJobSummary'

Fields

resourceLimits :: Maybe ResourceLimits
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
lastModifiedTime :: Maybe POSIX
The date and time that the tuning job was modified.
hyperParameterTuningEndTime :: Maybe POSIX
The date and time that the tuning job ended.
hyperParameterTuningJobName :: Text
The name of the tuning job.
hyperParameterTuningJobArn :: Text
The Amazon Resource Name (ARN) of the tuning job.
hyperParameterTuningJobStatus :: HyperParameterTuningJobStatus
The status of the tuning job.
strategy :: HyperParameterTuningJobStrategyType
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
creationTime :: POSIX
The date and time that the tuning job was created.
trainingJobStatusCounters :: TrainingJobStatusCounters
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
objectiveStatusCounters :: ObjectiveStatusCounters
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

Instances

Instances details

Eq HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods (==) :: HyperParameterTuningJobSummary -> HyperParameterTuningJobSummary -> Bool # (/=) :: HyperParameterTuningJobSummary -> HyperParameterTuningJobSummary -> Bool #
Read HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods readsPrec :: Int -> ReadS HyperParameterTuningJobSummary # readList :: ReadS [HyperParameterTuningJobSummary] # readPrec :: ReadPrec HyperParameterTuningJobSummary # readListPrec :: ReadPrec [HyperParameterTuningJobSummary] #
Show HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods showsPrec :: Int -> HyperParameterTuningJobSummary -> ShowS # show :: HyperParameterTuningJobSummary -> String # showList :: [HyperParameterTuningJobSummary] -> ShowS #
Generic HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Associated Types type Rep HyperParameterTuningJobSummary :: Type -> Type # Methods from :: HyperParameterTuningJobSummary -> Rep HyperParameterTuningJobSummary x # to :: Rep HyperParameterTuningJobSummary x -> HyperParameterTuningJobSummary #
NFData HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods rnf :: HyperParameterTuningJobSummary -> () #
Hashable HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods hashWithSalt :: Int -> HyperParameterTuningJobSummary -> Int # hash :: HyperParameterTuningJobSummary -> Int #
FromJSON HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods parseJSON :: Value -> Parser HyperParameterTuningJobSummary # parseJSONList :: Value -> Parser [HyperParameterTuningJobSummary] #
type Rep HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary type Rep HyperParameterTuningJobSummary = D1 ('MetaData "HyperParameterTuningJobSummary" "Amazonka.SageMaker.Types.HyperParameterTuningJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTuningJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "resourceLimits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceLimits)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "hyperParameterTuningEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "hyperParameterTuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "hyperParameterTuningJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :: ((S1 ('MetaSel ('Just "hyperParameterTuningJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStatus) :: S1 ('MetaSel ('Just "strategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStrategyType)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: (S1 ('MetaSel ('Just "trainingJobStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatusCounters) :*: S1 ('MetaSel ('Just "objectiveStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ObjectiveStatusCounters))))))

newHyperParameterTuningJobSummary Source #

Arguments

:: Text	`$sel:hyperParameterTuningJobName:HyperParameterTuningJobSummary'`
-> Text	`$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSummary'`
-> HyperParameterTuningJobStatus	`$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSummary'`
-> HyperParameterTuningJobStrategyType	`$sel:strategy:HyperParameterTuningJobSummary'`
-> UTCTime	`$sel:creationTime:HyperParameterTuningJobSummary'`
-> TrainingJobStatusCounters	`$sel:trainingJobStatusCounters:HyperParameterTuningJobSummary'`
-> ObjectiveStatusCounters	`$sel:objectiveStatusCounters:HyperParameterTuningJobSummary'`
-> HyperParameterTuningJobSummary

Create a value of HyperParameterTuningJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resourceLimits:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_resourceLimits - The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

$sel:lastModifiedTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_lastModifiedTime - The date and time that the tuning job was modified.

$sel:hyperParameterTuningEndTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningEndTime - The date and time that the tuning job ended.

$sel:hyperParameterTuningJobName:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobName - The name of the tuning job.

$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobArn - The Amazon Resource Name (ARN) of the tuning job.

$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobStatus - The status of the tuning job.

$sel:strategy:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_strategy - Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.

$sel:creationTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_creationTime - The date and time that the tuning job was created.

$sel:trainingJobStatusCounters:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_trainingJobStatusCounters - The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

$sel:objectiveStatusCounters:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_objectiveStatusCounters - The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

hyperParameterTuningJobSummary_resourceLimits :: Lens' HyperParameterTuningJobSummary (Maybe ResourceLimits) Source #

The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

hyperParameterTuningJobSummary_lastModifiedTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #

The date and time that the tuning job was modified.

hyperParameterTuningJobSummary_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #

The date and time that the tuning job ended.

hyperParameterTuningJobSummary_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSummary Text Source #

The name of the tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSummary Text Source #

The Amazon Resource Name (ARN) of the tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStatus Source #

The status of the tuning job.

hyperParameterTuningJobSummary_strategy :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStrategyType Source #

Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.

hyperParameterTuningJobSummary_creationTime :: Lens' HyperParameterTuningJobSummary UTCTime Source #

The date and time that the tuning job was created.

hyperParameterTuningJobSummary_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSummary TrainingJobStatusCounters Source #

The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

hyperParameterTuningJobSummary_objectiveStatusCounters :: Lens' HyperParameterTuningJobSummary ObjectiveStatusCounters Source #

The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

HyperParameterTuningJobWarmStartConfig

data HyperParameterTuningJobWarmStartConfig Source #

Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.

All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.

All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.

See: newHyperParameterTuningJobWarmStartConfig smart constructor.

Constructors

HyperParameterTuningJobWarmStartConfig'

Fields

parentHyperParameterTuningJobs :: NonEmpty ParentHyperParameterTuningJob
An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.
Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.
warmStartType :: HyperParameterTuningJobWarmStartType
Specifies one of the following:
IDENTICAL_DATA_AND_ALGORITHM
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
TRANSFER_LEARNING
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.

Instances

Instances details

Eq HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods (==) :: HyperParameterTuningJobWarmStartConfig -> HyperParameterTuningJobWarmStartConfig -> Bool # (/=) :: HyperParameterTuningJobWarmStartConfig -> HyperParameterTuningJobWarmStartConfig -> Bool #
Read HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods readsPrec :: Int -> ReadS HyperParameterTuningJobWarmStartConfig # readList :: ReadS [HyperParameterTuningJobWarmStartConfig] # readPrec :: ReadPrec HyperParameterTuningJobWarmStartConfig # readListPrec :: ReadPrec [HyperParameterTuningJobWarmStartConfig] #
Show HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods showsPrec :: Int -> HyperParameterTuningJobWarmStartConfig -> ShowS # show :: HyperParameterTuningJobWarmStartConfig -> String # showList :: [HyperParameterTuningJobWarmStartConfig] -> ShowS #
Generic HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Associated Types type Rep HyperParameterTuningJobWarmStartConfig :: Type -> Type # Methods from :: HyperParameterTuningJobWarmStartConfig -> Rep HyperParameterTuningJobWarmStartConfig x # to :: Rep HyperParameterTuningJobWarmStartConfig x -> HyperParameterTuningJobWarmStartConfig #
NFData HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods rnf :: HyperParameterTuningJobWarmStartConfig -> () #
Hashable HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods hashWithSalt :: Int -> HyperParameterTuningJobWarmStartConfig -> Int # hash :: HyperParameterTuningJobWarmStartConfig -> Int #
ToJSON HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods toJSON :: HyperParameterTuningJobWarmStartConfig -> Value # toEncoding :: HyperParameterTuningJobWarmStartConfig -> Encoding # toJSONList :: [HyperParameterTuningJobWarmStartConfig] -> Value # toEncodingList :: [HyperParameterTuningJobWarmStartConfig] -> Encoding #
FromJSON HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig Methods parseJSON :: Value -> Parser HyperParameterTuningJobWarmStartConfig # parseJSONList :: Value -> Parser [HyperParameterTuningJobWarmStartConfig] #
type Rep HyperParameterTuningJobWarmStartConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig type Rep HyperParameterTuningJobWarmStartConfig = D1 ('MetaData "HyperParameterTuningJobWarmStartConfig" "Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTuningJobWarmStartConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "parentHyperParameterTuningJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ParentHyperParameterTuningJob)) :*: S1 ('MetaSel ('Just "warmStartType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobWarmStartType)))

newHyperParameterTuningJobWarmStartConfig Source #

Arguments

:: NonEmpty ParentHyperParameterTuningJob	`$sel:parentHyperParameterTuningJobs:HyperParameterTuningJobWarmStartConfig'`
-> HyperParameterTuningJobWarmStartType	`$sel:warmStartType:HyperParameterTuningJobWarmStartConfig'`
-> HyperParameterTuningJobWarmStartConfig

Create a value of HyperParameterTuningJobWarmStartConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:parentHyperParameterTuningJobs:HyperParameterTuningJobWarmStartConfig', hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs - An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.

Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.

$sel:warmStartType:HyperParameterTuningJobWarmStartConfig', hyperParameterTuningJobWarmStartConfig_warmStartType - Specifies one of the following:

IDENTICAL_DATA_AND_ALGORITHM: The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
TRANSFER_LEARNING: The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.

hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs :: Lens' HyperParameterTuningJobWarmStartConfig (NonEmpty ParentHyperParameterTuningJob) Source #

An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.

Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.

hyperParameterTuningJobWarmStartConfig_warmStartType :: Lens' HyperParameterTuningJobWarmStartConfig HyperParameterTuningJobWarmStartType Source #

Specifies one of the following:

IDENTICAL_DATA_AND_ALGORITHM: The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
TRANSFER_LEARNING: The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.

Image

data Image Source #

A SageMaker image. A SageMaker image represents a set of container images that are derived from a common base container image. Each of these container images is represented by a SageMaker ImageVersion.

See: newImage smart constructor.

Constructors

Image'

Fields

failureReason :: Maybe Text
When a create, update, or delete operation fails, the reason for the failure.
displayName :: Maybe Text
The name of the image as displayed.
description :: Maybe Text
The description of the image.
creationTime :: POSIX
When the image was created.
imageArn :: Text
The Amazon Resource Name (ARN) of the image.
imageName :: Text
The name of the image.
imageStatus :: ImageStatus
The status of the image.
lastModifiedTime :: POSIX
When the image was last modified.

Instances

Instances details

Eq Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Methods (==) :: Image -> Image -> Bool # (/=) :: Image -> Image -> Bool #
Read Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Methods readsPrec :: Int -> ReadS Image # readList :: ReadS [Image] # readPrec :: ReadPrec Image # readListPrec :: ReadPrec [Image] #
Show Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Methods showsPrec :: Int -> Image -> ShowS # show :: Image -> String # showList :: [Image] -> ShowS #
Generic Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Associated Types type Rep Image :: Type -> Type # Methods from :: Image -> Rep Image x # to :: Rep Image x -> Image #
NFData Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Methods rnf :: Image -> () #
Hashable Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Methods hashWithSalt :: Int -> Image -> Int # hash :: Image -> Int #
FromJSON Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image Methods parseJSON :: Value -> Parser Image # parseJSONList :: Value -> Parser [Image] #
type Rep Image Source #
Instance details Defined in Amazonka.SageMaker.Types.Image type Rep Image = D1 ('MetaData "Image" "Amazonka.SageMaker.Types.Image" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Image'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))) :: ((S1 ('MetaSel ('Just "imageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "imageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "imageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ImageStatus) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newImage Source #

Arguments

:: UTCTime	`$sel:creationTime:Image'`
-> Text	`$sel:imageArn:Image'`
-> Text	`$sel:imageName:Image'`
-> ImageStatus	`$sel:imageStatus:Image'`
-> UTCTime	`$sel:lastModifiedTime:Image'`
-> Image

Create a value of Image with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:Image', image_failureReason - When a create, update, or delete operation fails, the reason for the failure.

$sel:displayName:Image', image_displayName - The name of the image as displayed.

$sel:description:Image', image_description - The description of the image.

$sel:creationTime:Image', image_creationTime - When the image was created.

$sel:imageArn:Image', image_imageArn - The Amazon Resource Name (ARN) of the image.

$sel:imageName:Image', image_imageName - The name of the image.

$sel:imageStatus:Image', image_imageStatus - The status of the image.

$sel:lastModifiedTime:Image', image_lastModifiedTime - When the image was last modified.

image_failureReason :: Lens' Image (Maybe Text) Source #

When a create, update, or delete operation fails, the reason for the failure.

image_displayName :: Lens' Image (Maybe Text) Source #

The name of the image as displayed.

image_description :: Lens' Image (Maybe Text) Source #

The description of the image.

image_creationTime :: Lens' Image UTCTime Source #

When the image was created.

image_imageArn :: Lens' Image Text Source #

The Amazon Resource Name (ARN) of the image.

image_imageName :: Lens' Image Text Source #

The name of the image.

image_imageStatus :: Lens' Image ImageStatus Source #

The status of the image.

image_lastModifiedTime :: Lens' Image UTCTime Source #

When the image was last modified.

ImageConfig

data ImageConfig Source #

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).

See: newImageConfig smart constructor.

Constructors

ImageConfig'

Fields

repositoryAuthConfig :: Maybe RepositoryAuthConfig
(Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.
repositoryAccessMode :: RepositoryAccessMode
Set this to one of the following values:
- Platform - The model image is hosted in Amazon ECR.
- Vpc - The model image is hosted in a private Docker registry in your VPC.

Instances

Instances details

Eq ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods (==) :: ImageConfig -> ImageConfig -> Bool # (/=) :: ImageConfig -> ImageConfig -> Bool #
Read ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods readsPrec :: Int -> ReadS ImageConfig # readList :: ReadS [ImageConfig] # readPrec :: ReadPrec ImageConfig # readListPrec :: ReadPrec [ImageConfig] #
Show ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods showsPrec :: Int -> ImageConfig -> ShowS # show :: ImageConfig -> String # showList :: [ImageConfig] -> ShowS #
Generic ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Associated Types type Rep ImageConfig :: Type -> Type # Methods from :: ImageConfig -> Rep ImageConfig x # to :: Rep ImageConfig x -> ImageConfig #
NFData ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods rnf :: ImageConfig -> () #
Hashable ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods hashWithSalt :: Int -> ImageConfig -> Int # hash :: ImageConfig -> Int #
ToJSON ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods toJSON :: ImageConfig -> Value # toEncoding :: ImageConfig -> Encoding # toJSONList :: [ImageConfig] -> Value # toEncodingList :: [ImageConfig] -> Encoding #
FromJSON ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig Methods parseJSON :: Value -> Parser ImageConfig # parseJSONList :: Value -> Parser [ImageConfig] #
type Rep ImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageConfig type Rep ImageConfig = D1 ('MetaData "ImageConfig" "Amazonka.SageMaker.Types.ImageConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ImageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "repositoryAuthConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RepositoryAuthConfig)) :*: S1 ('MetaSel ('Just "repositoryAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RepositoryAccessMode)))

newImageConfig Source #

Arguments

:: RepositoryAccessMode	`$sel:repositoryAccessMode:ImageConfig'`
-> ImageConfig

Create a value of ImageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:repositoryAuthConfig:ImageConfig', imageConfig_repositoryAuthConfig - (Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.

$sel:repositoryAccessMode:ImageConfig', imageConfig_repositoryAccessMode - Set this to one of the following values:

Platform - The model image is hosted in Amazon ECR.
Vpc - The model image is hosted in a private Docker registry in your VPC.

imageConfig_repositoryAuthConfig :: Lens' ImageConfig (Maybe RepositoryAuthConfig) Source #

(Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.

imageConfig_repositoryAccessMode :: Lens' ImageConfig RepositoryAccessMode Source #

Set this to one of the following values:

Platform - The model image is hosted in Amazon ECR.
Vpc - The model image is hosted in a private Docker registry in your VPC.

ImageVersion

data ImageVersion Source #

A version of a SageMaker Image. A version represents an existing container image.

See: newImageVersion smart constructor.

Constructors

ImageVersion'

Fields

failureReason :: Maybe Text
When a create or delete operation fails, the reason for the failure.
creationTime :: POSIX
When the version was created.
imageArn :: Text
The Amazon Resource Name (ARN) of the image the version is based on.
imageVersionArn :: Text
The ARN of the version.
imageVersionStatus :: ImageVersionStatus
The status of the version.
lastModifiedTime :: POSIX
When the version was last modified.
version :: Natural
The version number.

Instances

Instances details

Eq ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Methods (==) :: ImageVersion -> ImageVersion -> Bool # (/=) :: ImageVersion -> ImageVersion -> Bool #
Read ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Methods readsPrec :: Int -> ReadS ImageVersion # readList :: ReadS [ImageVersion] # readPrec :: ReadPrec ImageVersion # readListPrec :: ReadPrec [ImageVersion] #
Show ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Methods showsPrec :: Int -> ImageVersion -> ShowS # show :: ImageVersion -> String # showList :: [ImageVersion] -> ShowS #
Generic ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Associated Types type Rep ImageVersion :: Type -> Type # Methods from :: ImageVersion -> Rep ImageVersion x # to :: Rep ImageVersion x -> ImageVersion #
NFData ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Methods rnf :: ImageVersion -> () #
Hashable ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Methods hashWithSalt :: Int -> ImageVersion -> Int # hash :: ImageVersion -> Int #
FromJSON ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion Methods parseJSON :: Value -> Parser ImageVersion # parseJSONList :: Value -> Parser [ImageVersion] #
type Rep ImageVersion Source #
Instance details Defined in Amazonka.SageMaker.Types.ImageVersion type Rep ImageVersion = D1 ('MetaData "ImageVersion" "Amazonka.SageMaker.Types.ImageVersion" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ImageVersion'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "imageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "imageVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "imageVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ImageVersionStatus)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "version") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))))

newImageVersion Source #

Arguments

:: UTCTime	`$sel:creationTime:ImageVersion'`
-> Text	`$sel:imageArn:ImageVersion'`
-> Text	`$sel:imageVersionArn:ImageVersion'`
-> ImageVersionStatus	`$sel:imageVersionStatus:ImageVersion'`
-> UTCTime	`$sel:lastModifiedTime:ImageVersion'`
-> Natural	`$sel:version:ImageVersion'`
-> ImageVersion

Create a value of ImageVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:ImageVersion', imageVersion_failureReason - When a create or delete operation fails, the reason for the failure.

$sel:creationTime:ImageVersion', imageVersion_creationTime - When the version was created.

$sel:imageArn:ImageVersion', imageVersion_imageArn - The Amazon Resource Name (ARN) of the image the version is based on.

$sel:imageVersionArn:ImageVersion', imageVersion_imageVersionArn - The ARN of the version.

$sel:imageVersionStatus:ImageVersion', imageVersion_imageVersionStatus - The status of the version.

$sel:lastModifiedTime:ImageVersion', imageVersion_lastModifiedTime - When the version was last modified.

$sel:version:ImageVersion', imageVersion_version - The version number.

imageVersion_failureReason :: Lens' ImageVersion (Maybe Text) Source #

When a create or delete operation fails, the reason for the failure.

imageVersion_creationTime :: Lens' ImageVersion UTCTime Source #

When the version was created.

imageVersion_imageArn :: Lens' ImageVersion Text Source #

The Amazon Resource Name (ARN) of the image the version is based on.

imageVersion_imageVersionArn :: Lens' ImageVersion Text Source #

The ARN of the version.

imageVersion_imageVersionStatus :: Lens' ImageVersion ImageVersionStatus Source #

The status of the version.

imageVersion_lastModifiedTime :: Lens' ImageVersion UTCTime Source #

When the version was last modified.

imageVersion_version :: Lens' ImageVersion Natural Source #

The version number.

InferenceExecutionConfig

data InferenceExecutionConfig Source #

Specifies details about how containers in a multi-container endpoint are run.

See: newInferenceExecutionConfig smart constructor.

Constructors

InferenceExecutionConfig'
Fields mode :: InferenceExecutionMode How containers in a multi-container are run. The following values are valid. `SERIAL` - Containers run as a serial pipeline. `DIRECT` - Only the individual container that you specify is run.

Instances

Instances details

Eq InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods (==) :: InferenceExecutionConfig -> InferenceExecutionConfig -> Bool # (/=) :: InferenceExecutionConfig -> InferenceExecutionConfig -> Bool #
Read InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods readsPrec :: Int -> ReadS InferenceExecutionConfig # readList :: ReadS [InferenceExecutionConfig] # readPrec :: ReadPrec InferenceExecutionConfig # readListPrec :: ReadPrec [InferenceExecutionConfig] #
Show InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods showsPrec :: Int -> InferenceExecutionConfig -> ShowS # show :: InferenceExecutionConfig -> String # showList :: [InferenceExecutionConfig] -> ShowS #
Generic InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Associated Types type Rep InferenceExecutionConfig :: Type -> Type # Methods from :: InferenceExecutionConfig -> Rep InferenceExecutionConfig x # to :: Rep InferenceExecutionConfig x -> InferenceExecutionConfig #
NFData InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods rnf :: InferenceExecutionConfig -> () #
Hashable InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods hashWithSalt :: Int -> InferenceExecutionConfig -> Int # hash :: InferenceExecutionConfig -> Int #
ToJSON InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods toJSON :: InferenceExecutionConfig -> Value # toEncoding :: InferenceExecutionConfig -> Encoding # toJSONList :: [InferenceExecutionConfig] -> Value # toEncodingList :: [InferenceExecutionConfig] -> Encoding #
FromJSON InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig Methods parseJSON :: Value -> Parser InferenceExecutionConfig # parseJSONList :: Value -> Parser [InferenceExecutionConfig] #
type Rep InferenceExecutionConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig type Rep InferenceExecutionConfig = D1 ('MetaData "InferenceExecutionConfig" "Amazonka.SageMaker.Types.InferenceExecutionConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "InferenceExecutionConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceExecutionMode)))

newInferenceExecutionConfig Source #

Arguments

:: InferenceExecutionMode	`$sel:mode:InferenceExecutionConfig'`
-> InferenceExecutionConfig

Create a value of InferenceExecutionConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:mode:InferenceExecutionConfig', inferenceExecutionConfig_mode - How containers in a multi-container are run. The following values are valid.

SERIAL - Containers run as a serial pipeline.
DIRECT - Only the individual container that you specify is run.

inferenceExecutionConfig_mode :: Lens' InferenceExecutionConfig InferenceExecutionMode Source #

How containers in a multi-container are run. The following values are valid.

SERIAL - Containers run as a serial pipeline.
DIRECT - Only the individual container that you specify is run.

InferenceSpecification

data InferenceSpecification Source #

Defines how to perform inference generation after a training job is run.

See: newInferenceSpecification smart constructor.

Constructors

InferenceSpecification'

Fields

supportedRealtimeInferenceInstanceTypes :: Maybe [ProductionVariantInstanceType]
A list of the instance types that are used to generate inferences in real-time.
This parameter is required for unversioned models, and optional for versioned models.
supportedTransformInstanceTypes :: Maybe (NonEmpty TransformInstanceType)
A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
This parameter is required for unversioned models, and optional for versioned models.
containers :: NonEmpty ModelPackageContainerDefinition
The Amazon ECR registry path of the Docker image that contains the inference code.
supportedContentTypes :: [Text]
The supported MIME types for the input data.
supportedResponseMIMETypes :: [Text]
The supported MIME types for the output data.

Instances

Instances details

Eq InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods (==) :: InferenceSpecification -> InferenceSpecification -> Bool # (/=) :: InferenceSpecification -> InferenceSpecification -> Bool #
Read InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods readsPrec :: Int -> ReadS InferenceSpecification # readList :: ReadS [InferenceSpecification] # readPrec :: ReadPrec InferenceSpecification # readListPrec :: ReadPrec [InferenceSpecification] #
Show InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods showsPrec :: Int -> InferenceSpecification -> ShowS # show :: InferenceSpecification -> String # showList :: [InferenceSpecification] -> ShowS #
Generic InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Associated Types type Rep InferenceSpecification :: Type -> Type # Methods from :: InferenceSpecification -> Rep InferenceSpecification x # to :: Rep InferenceSpecification x -> InferenceSpecification #
NFData InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods rnf :: InferenceSpecification -> () #
Hashable InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods hashWithSalt :: Int -> InferenceSpecification -> Int # hash :: InferenceSpecification -> Int #
ToJSON InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods toJSON :: InferenceSpecification -> Value # toEncoding :: InferenceSpecification -> Encoding # toJSONList :: [InferenceSpecification] -> Value # toEncodingList :: [InferenceSpecification] -> Encoding #
FromJSON InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification Methods parseJSON :: Value -> Parser InferenceSpecification # parseJSONList :: Value -> Parser [InferenceSpecification] #
type Rep InferenceSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.InferenceSpecification type Rep InferenceSpecification = D1 ('MetaData "InferenceSpecification" "Amazonka.SageMaker.Types.InferenceSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "InferenceSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "supportedRealtimeInferenceInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProductionVariantInstanceType])) :: S1 ('MetaSel ('Just "supportedTransformInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty TransformInstanceType)))) :: (S1 ('MetaSel ('Just "containers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ModelPackageContainerDefinition)) :: (S1 ('MetaSel ('Just "supportedContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text]) :: S1 ('MetaSel ('Just "supportedResponseMIMETypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))))

newInferenceSpecification Source #

Arguments

:: NonEmpty ModelPackageContainerDefinition	`$sel:containers:InferenceSpecification'`
-> InferenceSpecification

Create a value of InferenceSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:supportedRealtimeInferenceInstanceTypes:InferenceSpecification', inferenceSpecification_supportedRealtimeInferenceInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

This parameter is required for unversioned models, and optional for versioned models.

$sel:supportedTransformInstanceTypes:InferenceSpecification', inferenceSpecification_supportedTransformInstanceTypes - A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

This parameter is required for unversioned models, and optional for versioned models.

$sel:containers:InferenceSpecification', inferenceSpecification_containers - The Amazon ECR registry path of the Docker image that contains the inference code.

$sel:supportedContentTypes:InferenceSpecification', inferenceSpecification_supportedContentTypes - The supported MIME types for the input data.

$sel:supportedResponseMIMETypes:InferenceSpecification', inferenceSpecification_supportedResponseMIMETypes - The supported MIME types for the output data.

inferenceSpecification_supportedRealtimeInferenceInstanceTypes :: Lens' InferenceSpecification (Maybe [ProductionVariantInstanceType]) Source #

A list of the instance types that are used to generate inferences in real-time.

This parameter is required for unversioned models, and optional for versioned models.

inferenceSpecification_supportedTransformInstanceTypes :: Lens' InferenceSpecification (Maybe (NonEmpty TransformInstanceType)) Source #

A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

This parameter is required for unversioned models, and optional for versioned models.

inferenceSpecification_containers :: Lens' InferenceSpecification (NonEmpty ModelPackageContainerDefinition) Source #

The Amazon ECR registry path of the Docker image that contains the inference code.

inferenceSpecification_supportedContentTypes :: Lens' InferenceSpecification [Text] Source #

The supported MIME types for the input data.

inferenceSpecification_supportedResponseMIMETypes :: Lens' InferenceSpecification [Text] Source #

The supported MIME types for the output data.

InputConfig

data InputConfig Source #

Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

See: newInputConfig smart constructor.

Constructors

InputConfig'

Fields

frameworkVersion :: Maybe Text
Specifies the framework version to use.
This API field is only supported for PyTorch framework versions 1.4, 1.5, and 1.6 for cloud instance target devices: ml_c4, ml_c5, ml_m4, ml_m5, ml_p2, ml_p3, and ml_g4dn.
s3Uri :: Text
The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
dataInputConfig :: Text
Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.
- TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
  - Examples for one input:
    - If using the console, {"input":[1,1024,1024,3]}
    - If using the CLI, {\"input\":[1,1024,1024,3]}
  - Examples for two inputs:
    - If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
    - If using the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
- KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.
  - Examples for one input:
    - If using the console, {"input_1":[1,3,224,224]}
    - If using the CLI, {\"input_1\":[1,3,224,224]}
  - Examples for two inputs:
    - If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
    - If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}
- MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
  - Examples for one input:
    - If using the console, {"data":[1,3,1024,1024]}
    - If using the CLI, {\"data\":[1,3,1024,1024]}
  - Examples for two inputs:
    - If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
    - If using the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
- PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
  - Examples for one input in dictionary format:
    - If using the console, {"input0":[1,3,224,224]}
    - If using the CLI, {\"input0\":[1,3,224,224]}
  - Example for one input in list format: [[1,3,224,224]]
  - Examples for two inputs in dictionary format:
    - If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
    - If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
  - Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
- XGBOOST: input data name and shape are not needed.
DataInputConfig supports the following parameters for CoreML OutputConfig$TargetDevice (ML Model format):
- shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:
  - Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
  - Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
- default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
- type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
- bias: If the input type is an Image, you need to provide the bias vector.
- scale: If the input type is an Image, you need to provide a scale factor.
CoreML ClassifierConfig parameters can be specified using OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:
- Tensor type input:
  - ```
  "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}
```
- Tensor type input without input name (PyTorch):
  - ```
  "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]
```
- Image type input:
  - ```
  "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
```
- ```
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
```
- Image type input without input name (PyTorch):
  - ```
  "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
```
- ```
"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}
```
Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.
- For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:
  - ```
  "DataInputConfig": {"inputs": [1, 224, 224, 3]}
```
- ```
"CompilerOptions": {"signature_def_key": "serving_custom"}
```
- For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:
  - ```
  "DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
```
- ```
"CompilerOptions": {"output_names": ["output_tensor:0"]}
```
framework :: Framework
Identifies the framework in which the model was trained. For example: TENSORFLOW.

Instances

Instances details

Eq InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods (==) :: InputConfig -> InputConfig -> Bool # (/=) :: InputConfig -> InputConfig -> Bool #
Read InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods readsPrec :: Int -> ReadS InputConfig # readList :: ReadS [InputConfig] # readPrec :: ReadPrec InputConfig # readListPrec :: ReadPrec [InputConfig] #
Show InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods showsPrec :: Int -> InputConfig -> ShowS # show :: InputConfig -> String # showList :: [InputConfig] -> ShowS #
Generic InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Associated Types type Rep InputConfig :: Type -> Type # Methods from :: InputConfig -> Rep InputConfig x # to :: Rep InputConfig x -> InputConfig #
NFData InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods rnf :: InputConfig -> () #
Hashable InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods hashWithSalt :: Int -> InputConfig -> Int # hash :: InputConfig -> Int #
ToJSON InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods toJSON :: InputConfig -> Value # toEncoding :: InputConfig -> Encoding # toJSONList :: [InputConfig] -> Value # toEncodingList :: [InputConfig] -> Encoding #
FromJSON InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig Methods parseJSON :: Value -> Parser InputConfig # parseJSONList :: Value -> Parser [InputConfig] #
type Rep InputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.InputConfig type Rep InputConfig = D1 ('MetaData "InputConfig" "Amazonka.SageMaker.Types.InputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "InputConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "frameworkVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "dataInputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "framework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Framework))))

newInputConfig Source #

Arguments

:: Text	`$sel:s3Uri:InputConfig'`
-> Text	`$sel:dataInputConfig:InputConfig'`
-> Framework	`$sel:framework:InputConfig'`
-> InputConfig

Create a value of InputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:frameworkVersion:InputConfig', inputConfig_frameworkVersion - Specifies the framework version to use.

This API field is only supported for PyTorch framework versions 1.4, 1.5, and 1.6 for cloud instance target devices: ml_c4, ml_c5, ml_m4, ml_m5, ml_p2, ml_p3, and ml_g4dn.

$sel:s3Uri:InputConfig', inputConfig_s3Uri - The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

$sel:dataInputConfig:InputConfig', inputConfig_dataInputConfig - Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.

TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
- Examples for one input:
  - If using the console, {"input":[1,1024,1024,3]}
  - If using the CLI, {\"input\":[1,1024,1024,3]}
- Examples for two inputs:
  - If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
  - If using the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.
- Examples for one input:
  - If using the console, {"input_1":[1,3,224,224]}
  - If using the CLI, {\"input_1\":[1,3,224,224]}
- Examples for two inputs:
  - If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
  - If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}
MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
- Examples for one input:
  - If using the console, {"data":[1,3,1024,1024]}
  - If using the CLI, {\"data\":[1,3,1024,1024]}
- Examples for two inputs:
  - If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
  - If using the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
- Examples for one input in dictionary format:
  - If using the console, {"input0":[1,3,224,224]}
  - If using the CLI, {\"input0\":[1,3,224,224]}
- Example for one input in list format: [[1,3,224,224]]
- Examples for two inputs in dictionary format:
  - If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
  - If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
- Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
XGBOOST: input data name and shape are not needed.

DataInputConfig supports the following parameters for CoreML OutputConfig$TargetDevice (ML Model format):

shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:
- Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
- Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
bias: If the input type is an Image, you need to provide the bias vector.
scale: If the input type is an Image, you need to provide a scale factor.

CoreML ClassifierConfig parameters can be specified using OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:

Tensor type input:

"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}

Tensor type input without input name (PyTorch):

"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]

Image type input:

"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}

"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

Image type input without input name (PyTorch):

"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]

"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.

For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:
- ```
"DataInputConfig": {"inputs": [1, 224, 224, 3]}
```
- ```
"CompilerOptions": {"signature_def_key": "serving_custom"}
```
For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:
- ```
"DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
```
- ```
"CompilerOptions": {"output_names": ["output_tensor:0"]}
```

$sel:framework:InputConfig', inputConfig_framework - Identifies the framework in which the model was trained. For example: TENSORFLOW.

inputConfig_frameworkVersion :: Lens' InputConfig (Maybe Text) Source #

Specifies the framework version to use.

This API field is only supported for PyTorch framework versions 1.4, 1.5, and 1.6 for cloud instance target devices: ml_c4, ml_c5, ml_m4, ml_m5, ml_p2, ml_p3, and ml_g4dn.

inputConfig_s3Uri :: Lens' InputConfig Text Source #

The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

inputConfig_dataInputConfig :: Lens' InputConfig Text Source #

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.

TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
- Examples for one input:
  - If using the console, {"input":[1,1024,1024,3]}
  - If using the CLI, {\"input\":[1,1024,1024,3]}
- Examples for two inputs:
  - If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
  - If using the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.
- Examples for one input:
  - If using the console, {"input_1":[1,3,224,224]}
  - If using the CLI, {\"input_1\":[1,3,224,224]}
- Examples for two inputs:
  - If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
  - If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}
MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
- Examples for one input:
  - If using the console, {"data":[1,3,1024,1024]}
  - If using the CLI, {\"data\":[1,3,1024,1024]}
- Examples for two inputs:
  - If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
  - If using the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
- Examples for one input in dictionary format:
  - If using the console, {"input0":[1,3,224,224]}
  - If using the CLI, {\"input0\":[1,3,224,224]}
- Example for one input in list format: [[1,3,224,224]]
- Examples for two inputs in dictionary format:
  - If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
  - If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
- Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
XGBOOST: input data name and shape are not needed.

DataInputConfig supports the following parameters for CoreML OutputConfig$TargetDevice (ML Model format):

shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:
- Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
- Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
bias: If the input type is an Image, you need to provide the bias vector.
scale: If the input type is an Image, you need to provide a scale factor.

CoreML ClassifierConfig parameters can be specified using OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:

Tensor type input:

"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}

Tensor type input without input name (PyTorch):

"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]

Image type input:

"DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}

"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

Image type input without input name (PyTorch):

"DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]

"CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.

For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:
- ```
"DataInputConfig": {"inputs": [1, 224, 224, 3]}
```
- ```
"CompilerOptions": {"signature_def_key": "serving_custom"}
```
For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:
- ```
"DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
```
- ```
"CompilerOptions": {"output_names": ["output_tensor:0"]}
```

inputConfig_framework :: Lens' InputConfig Framework Source #

Identifies the framework in which the model was trained. For example: TENSORFLOW.

IntegerParameterRange

data IntegerParameterRange Source #

For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.

See: newIntegerParameterRange smart constructor.

Constructors

IntegerParameterRange'

Fields

scalingType :: Maybe HyperParameterScalingType
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
Auto
Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
name :: Text
The name of the hyperparameter to search.
minValue :: Text
The minimum value of the hyperparameter to search.
maxValue :: Text
The maximum value of the hyperparameter to search.

Instances

Instances details

Eq IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods (==) :: IntegerParameterRange -> IntegerParameterRange -> Bool # (/=) :: IntegerParameterRange -> IntegerParameterRange -> Bool #
Read IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods readsPrec :: Int -> ReadS IntegerParameterRange # readList :: ReadS [IntegerParameterRange] # readPrec :: ReadPrec IntegerParameterRange # readListPrec :: ReadPrec [IntegerParameterRange] #
Show IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods showsPrec :: Int -> IntegerParameterRange -> ShowS # show :: IntegerParameterRange -> String # showList :: [IntegerParameterRange] -> ShowS #
Generic IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Associated Types type Rep IntegerParameterRange :: Type -> Type # Methods from :: IntegerParameterRange -> Rep IntegerParameterRange x # to :: Rep IntegerParameterRange x -> IntegerParameterRange #
NFData IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods rnf :: IntegerParameterRange -> () #
Hashable IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods hashWithSalt :: Int -> IntegerParameterRange -> Int # hash :: IntegerParameterRange -> Int #
ToJSON IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods toJSON :: IntegerParameterRange -> Value # toEncoding :: IntegerParameterRange -> Encoding # toJSONList :: [IntegerParameterRange] -> Value # toEncodingList :: [IntegerParameterRange] -> Encoding #
FromJSON IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange Methods parseJSON :: Value -> Parser IntegerParameterRange # parseJSONList :: Value -> Parser [IntegerParameterRange] #
type Rep IntegerParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRange type Rep IntegerParameterRange = D1 ('MetaData "IntegerParameterRange" "Amazonka.SageMaker.Types.IntegerParameterRange" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "IntegerParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "scalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterScalingType)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newIntegerParameterRange Source #

Arguments

:: Text	`$sel:name:IntegerParameterRange'`
-> Text	`$sel:minValue:IntegerParameterRange'`
-> Text	`$sel:maxValue:IntegerParameterRange'`
-> IntegerParameterRange

Create a value of IntegerParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:scalingType:IntegerParameterRange', integerParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto: Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear: Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.

$sel:name:IntegerParameterRange', integerParameterRange_name - The name of the hyperparameter to search.

$sel:minValue:IntegerParameterRange', integerParameterRange_minValue - The minimum value of the hyperparameter to search.

$sel:maxValue:IntegerParameterRange', integerParameterRange_maxValue - The maximum value of the hyperparameter to search.

integerParameterRange_scalingType :: Lens' IntegerParameterRange (Maybe HyperParameterScalingType) Source #

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto: Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear: Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic: Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.

integerParameterRange_name :: Lens' IntegerParameterRange Text Source #

The name of the hyperparameter to search.

integerParameterRange_minValue :: Lens' IntegerParameterRange Text Source #

The minimum value of the hyperparameter to search.

integerParameterRange_maxValue :: Lens' IntegerParameterRange Text Source #

The maximum value of the hyperparameter to search.

IntegerParameterRangeSpecification

data IntegerParameterRangeSpecification Source #

Defines the possible values for an integer hyperparameter.

See: newIntegerParameterRangeSpecification smart constructor.

Constructors

IntegerParameterRangeSpecification'
Fields minValue :: Text The minimum integer value allowed. maxValue :: Text The maximum integer value allowed.

Instances

Instances details

Eq IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods (==) :: IntegerParameterRangeSpecification -> IntegerParameterRangeSpecification -> Bool # (/=) :: IntegerParameterRangeSpecification -> IntegerParameterRangeSpecification -> Bool #
Read IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods readsPrec :: Int -> ReadS IntegerParameterRangeSpecification # readList :: ReadS [IntegerParameterRangeSpecification] # readPrec :: ReadPrec IntegerParameterRangeSpecification # readListPrec :: ReadPrec [IntegerParameterRangeSpecification] #
Show IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods showsPrec :: Int -> IntegerParameterRangeSpecification -> ShowS # show :: IntegerParameterRangeSpecification -> String # showList :: [IntegerParameterRangeSpecification] -> ShowS #
Generic IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Associated Types type Rep IntegerParameterRangeSpecification :: Type -> Type # Methods from :: IntegerParameterRangeSpecification -> Rep IntegerParameterRangeSpecification x # to :: Rep IntegerParameterRangeSpecification x -> IntegerParameterRangeSpecification #
NFData IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods rnf :: IntegerParameterRangeSpecification -> () #
Hashable IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods hashWithSalt :: Int -> IntegerParameterRangeSpecification -> Int # hash :: IntegerParameterRangeSpecification -> Int #
ToJSON IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods toJSON :: IntegerParameterRangeSpecification -> Value # toEncoding :: IntegerParameterRangeSpecification -> Encoding # toJSONList :: [IntegerParameterRangeSpecification] -> Value # toEncodingList :: [IntegerParameterRangeSpecification] -> Encoding #
FromJSON IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification Methods parseJSON :: Value -> Parser IntegerParameterRangeSpecification # parseJSONList :: Value -> Parser [IntegerParameterRangeSpecification] #
type Rep IntegerParameterRangeSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification type Rep IntegerParameterRangeSpecification = D1 ('MetaData "IntegerParameterRangeSpecification" "Amazonka.SageMaker.Types.IntegerParameterRangeSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "IntegerParameterRangeSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newIntegerParameterRangeSpecification Source #

Arguments

:: Text	`$sel:minValue:IntegerParameterRangeSpecification'`
-> Text	`$sel:maxValue:IntegerParameterRangeSpecification'`
-> IntegerParameterRangeSpecification

Create a value of IntegerParameterRangeSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minValue:IntegerParameterRangeSpecification', integerParameterRangeSpecification_minValue - The minimum integer value allowed.

$sel:maxValue:IntegerParameterRangeSpecification', integerParameterRangeSpecification_maxValue - The maximum integer value allowed.

integerParameterRangeSpecification_minValue :: Lens' IntegerParameterRangeSpecification Text Source #

The minimum integer value allowed.

integerParameterRangeSpecification_maxValue :: Lens' IntegerParameterRangeSpecification Text Source #

The maximum integer value allowed.

JupyterServerAppSettings

data JupyterServerAppSettings Source #

The JupyterServer app settings.

See: newJupyterServerAppSettings smart constructor.

Constructors

JupyterServerAppSettings'
Fields defaultResourceSpec :: Maybe ResourceSpec The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. lifecycleConfigArns :: Maybe [Text] The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.

Instances

Instances details

Eq JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods (==) :: JupyterServerAppSettings -> JupyterServerAppSettings -> Bool # (/=) :: JupyterServerAppSettings -> JupyterServerAppSettings -> Bool #
Read JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods readsPrec :: Int -> ReadS JupyterServerAppSettings # readList :: ReadS [JupyterServerAppSettings] # readPrec :: ReadPrec JupyterServerAppSettings # readListPrec :: ReadPrec [JupyterServerAppSettings] #
Show JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods showsPrec :: Int -> JupyterServerAppSettings -> ShowS # show :: JupyterServerAppSettings -> String # showList :: [JupyterServerAppSettings] -> ShowS #
Generic JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Associated Types type Rep JupyterServerAppSettings :: Type -> Type # Methods from :: JupyterServerAppSettings -> Rep JupyterServerAppSettings x # to :: Rep JupyterServerAppSettings x -> JupyterServerAppSettings #
NFData JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods rnf :: JupyterServerAppSettings -> () #
Hashable JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods hashWithSalt :: Int -> JupyterServerAppSettings -> Int # hash :: JupyterServerAppSettings -> Int #
ToJSON JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods toJSON :: JupyterServerAppSettings -> Value # toEncoding :: JupyterServerAppSettings -> Encoding # toJSONList :: [JupyterServerAppSettings] -> Value # toEncodingList :: [JupyterServerAppSettings] -> Encoding #
FromJSON JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings Methods parseJSON :: Value -> Parser JupyterServerAppSettings # parseJSONList :: Value -> Parser [JupyterServerAppSettings] #
type Rep JupyterServerAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings type Rep JupyterServerAppSettings = D1 ('MetaData "JupyterServerAppSettings" "Amazonka.SageMaker.Types.JupyterServerAppSettings" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "JupyterServerAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec)) :*: S1 ('MetaSel ('Just "lifecycleConfigArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newJupyterServerAppSettings :: JupyterServerAppSettings Source #

Create a value of JupyterServerAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultResourceSpec:JupyterServerAppSettings', jupyterServerAppSettings_defaultResourceSpec - The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.

$sel:lifecycleConfigArns:JupyterServerAppSettings', jupyterServerAppSettings_lifecycleConfigArns - The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.

jupyterServerAppSettings_defaultResourceSpec :: Lens' JupyterServerAppSettings (Maybe ResourceSpec) Source #

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app.

jupyterServerAppSettings_lifecycleConfigArns :: Lens' JupyterServerAppSettings (Maybe [Text]) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp.

KernelGatewayAppSettings

data KernelGatewayAppSettings Source #

The KernelGateway app settings.

See: newKernelGatewayAppSettings smart constructor.

Constructors

KernelGatewayAppSettings'

Fields

defaultResourceSpec :: Maybe ResourceSpec
The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.
customImages :: Maybe [CustomImage]
A list of custom SageMaker images that are configured to run as a KernelGateway app.
lifecycleConfigArns :: Maybe [Text]
The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

Instances

Instances details

Eq KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods (==) :: KernelGatewayAppSettings -> KernelGatewayAppSettings -> Bool # (/=) :: KernelGatewayAppSettings -> KernelGatewayAppSettings -> Bool #
Read KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods readsPrec :: Int -> ReadS KernelGatewayAppSettings # readList :: ReadS [KernelGatewayAppSettings] # readPrec :: ReadPrec KernelGatewayAppSettings # readListPrec :: ReadPrec [KernelGatewayAppSettings] #
Show KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods showsPrec :: Int -> KernelGatewayAppSettings -> ShowS # show :: KernelGatewayAppSettings -> String # showList :: [KernelGatewayAppSettings] -> ShowS #
Generic KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Associated Types type Rep KernelGatewayAppSettings :: Type -> Type # Methods from :: KernelGatewayAppSettings -> Rep KernelGatewayAppSettings x # to :: Rep KernelGatewayAppSettings x -> KernelGatewayAppSettings #
NFData KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods rnf :: KernelGatewayAppSettings -> () #
Hashable KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods hashWithSalt :: Int -> KernelGatewayAppSettings -> Int # hash :: KernelGatewayAppSettings -> Int #
ToJSON KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods toJSON :: KernelGatewayAppSettings -> Value # toEncoding :: KernelGatewayAppSettings -> Encoding # toJSONList :: [KernelGatewayAppSettings] -> Value # toEncodingList :: [KernelGatewayAppSettings] -> Encoding #
FromJSON KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings Methods parseJSON :: Value -> Parser KernelGatewayAppSettings # parseJSONList :: Value -> Parser [KernelGatewayAppSettings] #
type Rep KernelGatewayAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings type Rep KernelGatewayAppSettings = D1 ('MetaData "KernelGatewayAppSettings" "Amazonka.SageMaker.Types.KernelGatewayAppSettings" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "KernelGatewayAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec)) :: (S1 ('MetaSel ('Just "customImages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CustomImage])) :: S1 ('MetaSel ('Just "lifecycleConfigArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newKernelGatewayAppSettings :: KernelGatewayAppSettings Source #

Create a value of KernelGatewayAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultResourceSpec:KernelGatewayAppSettings', kernelGatewayAppSettings_defaultResourceSpec - The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.

$sel:customImages:KernelGatewayAppSettings', kernelGatewayAppSettings_customImages - A list of custom SageMaker images that are configured to run as a KernelGateway app.

$sel:lifecycleConfigArns:KernelGatewayAppSettings', kernelGatewayAppSettings_lifecycleConfigArns - The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

kernelGatewayAppSettings_defaultResourceSpec :: Lens' KernelGatewayAppSettings (Maybe ResourceSpec) Source #

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.

kernelGatewayAppSettings_customImages :: Lens' KernelGatewayAppSettings (Maybe [CustomImage]) Source #

A list of custom SageMaker images that are configured to run as a KernelGateway app.

kernelGatewayAppSettings_lifecycleConfigArns :: Lens' KernelGatewayAppSettings (Maybe [Text]) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

KernelGatewayImageConfig

data KernelGatewayImageConfig Source #

The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.

See: newKernelGatewayImageConfig smart constructor.

Constructors

KernelGatewayImageConfig'
Fields fileSystemConfig :: Maybe FileSystemConfig The Amazon Elastic File System (EFS) storage configuration for a SageMaker image. kernelSpecs :: NonEmpty KernelSpec The specification of the Jupyter kernels in the image.

Instances

Instances details

Eq KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods (==) :: KernelGatewayImageConfig -> KernelGatewayImageConfig -> Bool # (/=) :: KernelGatewayImageConfig -> KernelGatewayImageConfig -> Bool #
Read KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods readsPrec :: Int -> ReadS KernelGatewayImageConfig # readList :: ReadS [KernelGatewayImageConfig] # readPrec :: ReadPrec KernelGatewayImageConfig # readListPrec :: ReadPrec [KernelGatewayImageConfig] #
Show KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods showsPrec :: Int -> KernelGatewayImageConfig -> ShowS # show :: KernelGatewayImageConfig -> String # showList :: [KernelGatewayImageConfig] -> ShowS #
Generic KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Associated Types type Rep KernelGatewayImageConfig :: Type -> Type # Methods from :: KernelGatewayImageConfig -> Rep KernelGatewayImageConfig x # to :: Rep KernelGatewayImageConfig x -> KernelGatewayImageConfig #
NFData KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods rnf :: KernelGatewayImageConfig -> () #
Hashable KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods hashWithSalt :: Int -> KernelGatewayImageConfig -> Int # hash :: KernelGatewayImageConfig -> Int #
ToJSON KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods toJSON :: KernelGatewayImageConfig -> Value # toEncoding :: KernelGatewayImageConfig -> Encoding # toJSONList :: [KernelGatewayImageConfig] -> Value # toEncodingList :: [KernelGatewayImageConfig] -> Encoding #
FromJSON KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig Methods parseJSON :: Value -> Parser KernelGatewayImageConfig # parseJSONList :: Value -> Parser [KernelGatewayImageConfig] #
type Rep KernelGatewayImageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig type Rep KernelGatewayImageConfig = D1 ('MetaData "KernelGatewayImageConfig" "Amazonka.SageMaker.Types.KernelGatewayImageConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "KernelGatewayImageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fileSystemConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FileSystemConfig)) :*: S1 ('MetaSel ('Just "kernelSpecs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty KernelSpec))))

newKernelGatewayImageConfig Source #

Arguments

:: NonEmpty KernelSpec	`$sel:kernelSpecs:KernelGatewayImageConfig'`
-> KernelGatewayImageConfig

Create a value of KernelGatewayImageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fileSystemConfig:KernelGatewayImageConfig', kernelGatewayImageConfig_fileSystemConfig - The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

$sel:kernelSpecs:KernelGatewayImageConfig', kernelGatewayImageConfig_kernelSpecs - The specification of the Jupyter kernels in the image.

kernelGatewayImageConfig_fileSystemConfig :: Lens' KernelGatewayImageConfig (Maybe FileSystemConfig) Source #

The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

kernelGatewayImageConfig_kernelSpecs :: Lens' KernelGatewayImageConfig (NonEmpty KernelSpec) Source #

The specification of the Jupyter kernels in the image.

KernelSpec

data KernelSpec Source #

The specification of a Jupyter kernel.

See: newKernelSpec smart constructor.

Constructors

KernelSpec'
Fields displayName :: Maybe Text The display name of the kernel. name :: Text The name of the Jupyter kernel in the image. This value is case sensitive.

Instances

Instances details

Eq KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods (==) :: KernelSpec -> KernelSpec -> Bool # (/=) :: KernelSpec -> KernelSpec -> Bool #
Read KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods readsPrec :: Int -> ReadS KernelSpec # readList :: ReadS [KernelSpec] # readPrec :: ReadPrec KernelSpec # readListPrec :: ReadPrec [KernelSpec] #
Show KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods showsPrec :: Int -> KernelSpec -> ShowS # show :: KernelSpec -> String # showList :: [KernelSpec] -> ShowS #
Generic KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Associated Types type Rep KernelSpec :: Type -> Type # Methods from :: KernelSpec -> Rep KernelSpec x # to :: Rep KernelSpec x -> KernelSpec #
NFData KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods rnf :: KernelSpec -> () #
Hashable KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods hashWithSalt :: Int -> KernelSpec -> Int # hash :: KernelSpec -> Int #
ToJSON KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods toJSON :: KernelSpec -> Value # toEncoding :: KernelSpec -> Encoding # toJSONList :: [KernelSpec] -> Value # toEncodingList :: [KernelSpec] -> Encoding #
FromJSON KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec Methods parseJSON :: Value -> Parser KernelSpec # parseJSONList :: Value -> Parser [KernelSpec] #
type Rep KernelSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.KernelSpec type Rep KernelSpec = D1 ('MetaData "KernelSpec" "Amazonka.SageMaker.Types.KernelSpec" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "KernelSpec'" 'PrefixI 'True) (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newKernelSpec Source #

Arguments

:: Text	`$sel:name:KernelSpec'`
-> KernelSpec

Create a value of KernelSpec with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:displayName:KernelSpec', kernelSpec_displayName - The display name of the kernel.

$sel:name:KernelSpec', kernelSpec_name - The name of the Jupyter kernel in the image. This value is case sensitive.

kernelSpec_displayName :: Lens' KernelSpec (Maybe Text) Source #

The display name of the kernel.

kernelSpec_name :: Lens' KernelSpec Text Source #

The name of the Jupyter kernel in the image. This value is case sensitive.

LabelCounters

data LabelCounters Source #

Provides a breakdown of the number of objects labeled.

See: newLabelCounters smart constructor.

Constructors

LabelCounters'

Fields

machineLabeled :: Maybe Natural
The total number of objects labeled by automated data labeling.
totalLabeled :: Maybe Natural
The total number of objects labeled.
failedNonRetryableError :: Maybe Natural
The total number of objects that could not be labeled due to an error.
unlabeled :: Maybe Natural
The total number of objects not yet labeled.
humanLabeled :: Maybe Natural
The total number of objects labeled by a human worker.

Instances

Instances details

Eq LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Methods (==) :: LabelCounters -> LabelCounters -> Bool # (/=) :: LabelCounters -> LabelCounters -> Bool #
Read LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Methods readsPrec :: Int -> ReadS LabelCounters # readList :: ReadS [LabelCounters] # readPrec :: ReadPrec LabelCounters # readListPrec :: ReadPrec [LabelCounters] #
Show LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Methods showsPrec :: Int -> LabelCounters -> ShowS # show :: LabelCounters -> String # showList :: [LabelCounters] -> ShowS #
Generic LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Associated Types type Rep LabelCounters :: Type -> Type # Methods from :: LabelCounters -> Rep LabelCounters x # to :: Rep LabelCounters x -> LabelCounters #
NFData LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Methods rnf :: LabelCounters -> () #
Hashable LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Methods hashWithSalt :: Int -> LabelCounters -> Int # hash :: LabelCounters -> Int #
FromJSON LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters Methods parseJSON :: Value -> Parser LabelCounters # parseJSONList :: Value -> Parser [LabelCounters] #
type Rep LabelCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCounters type Rep LabelCounters = D1 ('MetaData "LabelCounters" "Amazonka.SageMaker.Types.LabelCounters" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelCounters'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "machineLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "totalLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "failedNonRetryableError") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "unlabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "humanLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newLabelCounters :: LabelCounters Source #

Create a value of LabelCounters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:machineLabeled:LabelCounters', labelCounters_machineLabeled - The total number of objects labeled by automated data labeling.

$sel:totalLabeled:LabelCounters', labelCounters_totalLabeled - The total number of objects labeled.

$sel:failedNonRetryableError:LabelCounters', labelCounters_failedNonRetryableError - The total number of objects that could not be labeled due to an error.

$sel:unlabeled:LabelCounters', labelCounters_unlabeled - The total number of objects not yet labeled.

$sel:humanLabeled:LabelCounters', labelCounters_humanLabeled - The total number of objects labeled by a human worker.

labelCounters_machineLabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects labeled by automated data labeling.

labelCounters_totalLabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects labeled.

labelCounters_failedNonRetryableError :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects that could not be labeled due to an error.

labelCounters_unlabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects not yet labeled.

labelCounters_humanLabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects labeled by a human worker.

LabelCountersForWorkteam

data LabelCountersForWorkteam Source #

Provides counts for human-labeled tasks in the labeling job.

See: newLabelCountersForWorkteam smart constructor.

Constructors

LabelCountersForWorkteam'
Fields pendingHuman :: Maybe Natural The total number of data objects that need to be labeled by a human worker. total :: Maybe Natural The total number of tasks in the labeling job. humanLabeled :: Maybe Natural The total number of data objects labeled by a human worker.

Instances

Instances details

Eq LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Methods (==) :: LabelCountersForWorkteam -> LabelCountersForWorkteam -> Bool # (/=) :: LabelCountersForWorkteam -> LabelCountersForWorkteam -> Bool #
Read LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Methods readsPrec :: Int -> ReadS LabelCountersForWorkteam # readList :: ReadS [LabelCountersForWorkteam] # readPrec :: ReadPrec LabelCountersForWorkteam # readListPrec :: ReadPrec [LabelCountersForWorkteam] #
Show LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Methods showsPrec :: Int -> LabelCountersForWorkteam -> ShowS # show :: LabelCountersForWorkteam -> String # showList :: [LabelCountersForWorkteam] -> ShowS #
Generic LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Associated Types type Rep LabelCountersForWorkteam :: Type -> Type # Methods from :: LabelCountersForWorkteam -> Rep LabelCountersForWorkteam x # to :: Rep LabelCountersForWorkteam x -> LabelCountersForWorkteam #
NFData LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Methods rnf :: LabelCountersForWorkteam -> () #
Hashable LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Methods hashWithSalt :: Int -> LabelCountersForWorkteam -> Int # hash :: LabelCountersForWorkteam -> Int #
FromJSON LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam Methods parseJSON :: Value -> Parser LabelCountersForWorkteam # parseJSONList :: Value -> Parser [LabelCountersForWorkteam] #
type Rep LabelCountersForWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam type Rep LabelCountersForWorkteam = D1 ('MetaData "LabelCountersForWorkteam" "Amazonka.SageMaker.Types.LabelCountersForWorkteam" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelCountersForWorkteam'" 'PrefixI 'True) (S1 ('MetaSel ('Just "pendingHuman") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "total") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "humanLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newLabelCountersForWorkteam :: LabelCountersForWorkteam Source #

Create a value of LabelCountersForWorkteam with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:pendingHuman:LabelCountersForWorkteam', labelCountersForWorkteam_pendingHuman - The total number of data objects that need to be labeled by a human worker.

$sel:total:LabelCountersForWorkteam', labelCountersForWorkteam_total - The total number of tasks in the labeling job.

$sel:humanLabeled:LabelCountersForWorkteam', labelCountersForWorkteam_humanLabeled - The total number of data objects labeled by a human worker.

labelCountersForWorkteam_pendingHuman :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #

The total number of data objects that need to be labeled by a human worker.

labelCountersForWorkteam_total :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #

The total number of tasks in the labeling job.

labelCountersForWorkteam_humanLabeled :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #

The total number of data objects labeled by a human worker.

LabelingJobAlgorithmsConfig

data LabelingJobAlgorithmsConfig Source #

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

See: newLabelingJobAlgorithmsConfig smart constructor.

Constructors

LabelingJobAlgorithmsConfig'

Fields

labelingJobResourceConfig :: Maybe LabelingJobResourceConfig
Provides configuration information for a labeling job.
initialActiveLearningModelArn :: Maybe Text
At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

labelingJobAlgorithmSpecificationArn :: Text

Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

Image classification

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

Text classification

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

Object detection

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

Semantic Segmentation

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

Instances

Instances details

Eq LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods (==) :: LabelingJobAlgorithmsConfig -> LabelingJobAlgorithmsConfig -> Bool # (/=) :: LabelingJobAlgorithmsConfig -> LabelingJobAlgorithmsConfig -> Bool #
Read LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods readsPrec :: Int -> ReadS LabelingJobAlgorithmsConfig # readList :: ReadS [LabelingJobAlgorithmsConfig] # readPrec :: ReadPrec LabelingJobAlgorithmsConfig # readListPrec :: ReadPrec [LabelingJobAlgorithmsConfig] #
Show LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods showsPrec :: Int -> LabelingJobAlgorithmsConfig -> ShowS # show :: LabelingJobAlgorithmsConfig -> String # showList :: [LabelingJobAlgorithmsConfig] -> ShowS #
Generic LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Associated Types type Rep LabelingJobAlgorithmsConfig :: Type -> Type # Methods from :: LabelingJobAlgorithmsConfig -> Rep LabelingJobAlgorithmsConfig x # to :: Rep LabelingJobAlgorithmsConfig x -> LabelingJobAlgorithmsConfig #
NFData LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods rnf :: LabelingJobAlgorithmsConfig -> () #
Hashable LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods hashWithSalt :: Int -> LabelingJobAlgorithmsConfig -> Int # hash :: LabelingJobAlgorithmsConfig -> Int #
ToJSON LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods toJSON :: LabelingJobAlgorithmsConfig -> Value # toEncoding :: LabelingJobAlgorithmsConfig -> Encoding # toJSONList :: [LabelingJobAlgorithmsConfig] -> Value # toEncodingList :: [LabelingJobAlgorithmsConfig] -> Encoding #
FromJSON LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig Methods parseJSON :: Value -> Parser LabelingJobAlgorithmsConfig # parseJSONList :: Value -> Parser [LabelingJobAlgorithmsConfig] #
type Rep LabelingJobAlgorithmsConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig type Rep LabelingJobAlgorithmsConfig = D1 ('MetaData "LabelingJobAlgorithmsConfig" "Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobAlgorithmsConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "labelingJobResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobResourceConfig)) :: (S1 ('MetaSel ('Just "initialActiveLearningModelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "labelingJobAlgorithmSpecificationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newLabelingJobAlgorithmsConfig Source #

Arguments

:: Text	`$sel:labelingJobAlgorithmSpecificationArn:LabelingJobAlgorithmsConfig'`
-> LabelingJobAlgorithmsConfig

Create a value of LabelingJobAlgorithmsConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:labelingJobResourceConfig:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_labelingJobResourceConfig - Provides configuration information for a labeling job.

$sel:initialActiveLearningModelArn:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_initialActiveLearningModelArn - At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

$sel:labelingJobAlgorithmSpecificationArn:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn - Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

Image classification

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

Text classification

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

Object detection

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

Semantic Segmentation

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

labelingJobAlgorithmsConfig_labelingJobResourceConfig :: Lens' LabelingJobAlgorithmsConfig (Maybe LabelingJobResourceConfig) Source #

Provides configuration information for a labeling job.

labelingJobAlgorithmsConfig_initialActiveLearningModelArn :: Lens' LabelingJobAlgorithmsConfig (Maybe Text) Source #

At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn :: Lens' LabelingJobAlgorithmsConfig Text Source #

Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

Image classification

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

Text classification

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

Object detection

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

Semantic Segmentation

arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

LabelingJobDataAttributes

data LabelingJobDataAttributes Source #

Attributes of the data specified by the customer. Use these to describe the data to be labeled.

See: newLabelingJobDataAttributes smart constructor.

Constructors

LabelingJobDataAttributes'
Fields contentClassifiers :: Maybe [ContentClassifier] Declares that your content is free of personally identifiable information or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

Instances

Instances details

Eq LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods (==) :: LabelingJobDataAttributes -> LabelingJobDataAttributes -> Bool # (/=) :: LabelingJobDataAttributes -> LabelingJobDataAttributes -> Bool #
Read LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods readsPrec :: Int -> ReadS LabelingJobDataAttributes # readList :: ReadS [LabelingJobDataAttributes] # readPrec :: ReadPrec LabelingJobDataAttributes # readListPrec :: ReadPrec [LabelingJobDataAttributes] #
Show LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods showsPrec :: Int -> LabelingJobDataAttributes -> ShowS # show :: LabelingJobDataAttributes -> String # showList :: [LabelingJobDataAttributes] -> ShowS #
Generic LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Associated Types type Rep LabelingJobDataAttributes :: Type -> Type # Methods from :: LabelingJobDataAttributes -> Rep LabelingJobDataAttributes x # to :: Rep LabelingJobDataAttributes x -> LabelingJobDataAttributes #
NFData LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods rnf :: LabelingJobDataAttributes -> () #
Hashable LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods hashWithSalt :: Int -> LabelingJobDataAttributes -> Int # hash :: LabelingJobDataAttributes -> Int #
ToJSON LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods toJSON :: LabelingJobDataAttributes -> Value # toEncoding :: LabelingJobDataAttributes -> Encoding # toJSONList :: [LabelingJobDataAttributes] -> Value # toEncodingList :: [LabelingJobDataAttributes] -> Encoding #
FromJSON LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes Methods parseJSON :: Value -> Parser LabelingJobDataAttributes # parseJSONList :: Value -> Parser [LabelingJobDataAttributes] #
type Rep LabelingJobDataAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes type Rep LabelingJobDataAttributes = D1 ('MetaData "LabelingJobDataAttributes" "Amazonka.SageMaker.Types.LabelingJobDataAttributes" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobDataAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentClassifiers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentClassifier]))))

newLabelingJobDataAttributes :: LabelingJobDataAttributes Source #

Create a value of LabelingJobDataAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentClassifiers:LabelingJobDataAttributes', labelingJobDataAttributes_contentClassifiers - Declares that your content is free of personally identifiable information or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

labelingJobDataAttributes_contentClassifiers :: Lens' LabelingJobDataAttributes (Maybe [ContentClassifier]) Source #

Declares that your content is free of personally identifiable information or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

LabelingJobDataSource

data LabelingJobDataSource Source #

Provides information about the location of input data.

You must specify at least one of the following: S3DataSource or SnsDataSource.

Use SnsDataSource to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job.

Use S3DataSource to specify an input manifest file for both streaming and one-time labeling jobs. Adding an S3DataSource is optional if you use SnsDataSource to create a streaming labeling job.

See: newLabelingJobDataSource smart constructor.

Constructors

LabelingJobDataSource'
Fields s3DataSource :: Maybe LabelingJobS3DataSource The Amazon S3 location of the input data objects. snsDataSource :: Maybe LabelingJobSnsDataSource An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

Instances

Instances details

Eq LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods (==) :: LabelingJobDataSource -> LabelingJobDataSource -> Bool # (/=) :: LabelingJobDataSource -> LabelingJobDataSource -> Bool #
Read LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods readsPrec :: Int -> ReadS LabelingJobDataSource # readList :: ReadS [LabelingJobDataSource] # readPrec :: ReadPrec LabelingJobDataSource # readListPrec :: ReadPrec [LabelingJobDataSource] #
Show LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods showsPrec :: Int -> LabelingJobDataSource -> ShowS # show :: LabelingJobDataSource -> String # showList :: [LabelingJobDataSource] -> ShowS #
Generic LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Associated Types type Rep LabelingJobDataSource :: Type -> Type # Methods from :: LabelingJobDataSource -> Rep LabelingJobDataSource x # to :: Rep LabelingJobDataSource x -> LabelingJobDataSource #
NFData LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods rnf :: LabelingJobDataSource -> () #
Hashable LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods hashWithSalt :: Int -> LabelingJobDataSource -> Int # hash :: LabelingJobDataSource -> Int #
ToJSON LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods toJSON :: LabelingJobDataSource -> Value # toEncoding :: LabelingJobDataSource -> Encoding # toJSONList :: [LabelingJobDataSource] -> Value # toEncodingList :: [LabelingJobDataSource] -> Encoding #
FromJSON LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource Methods parseJSON :: Value -> Parser LabelingJobDataSource # parseJSONList :: Value -> Parser [LabelingJobDataSource] #
type Rep LabelingJobDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobDataSource type Rep LabelingJobDataSource = D1 ('MetaData "LabelingJobDataSource" "Amazonka.SageMaker.Types.LabelingJobDataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobS3DataSource)) :*: S1 ('MetaSel ('Just "snsDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobSnsDataSource))))

newLabelingJobDataSource :: LabelingJobDataSource Source #

Create a value of LabelingJobDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:LabelingJobDataSource', labelingJobDataSource_s3DataSource - The Amazon S3 location of the input data objects.

$sel:snsDataSource:LabelingJobDataSource', labelingJobDataSource_snsDataSource - An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

labelingJobDataSource_s3DataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobS3DataSource) Source #

The Amazon S3 location of the input data objects.

labelingJobDataSource_snsDataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobSnsDataSource) Source #

An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

LabelingJobForWorkteamSummary

data LabelingJobForWorkteamSummary Source #

Provides summary information for a work team.

See: newLabelingJobForWorkteamSummary smart constructor.

Constructors

LabelingJobForWorkteamSummary'

Fields

numberOfHumanWorkersPerDataObject :: Maybe Natural
The configured number of workers per data object.
labelCounters :: Maybe LabelCountersForWorkteam
Provides information about the progress of a labeling job.
labelingJobName :: Maybe Text
The name of the labeling job that the work team is assigned to.
jobReferenceCode :: Text
A unique identifier for a labeling job. You can use this to refer to a specific labeling job.
workRequesterAccountId :: Text
The Amazon Web Services account ID of the account used to start the labeling job.
creationTime :: POSIX
The date and time that the labeling job was created.

Instances

Instances details

Eq LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Methods (==) :: LabelingJobForWorkteamSummary -> LabelingJobForWorkteamSummary -> Bool # (/=) :: LabelingJobForWorkteamSummary -> LabelingJobForWorkteamSummary -> Bool #
Read LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Methods readsPrec :: Int -> ReadS LabelingJobForWorkteamSummary # readList :: ReadS [LabelingJobForWorkteamSummary] # readPrec :: ReadPrec LabelingJobForWorkteamSummary # readListPrec :: ReadPrec [LabelingJobForWorkteamSummary] #
Show LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Methods showsPrec :: Int -> LabelingJobForWorkteamSummary -> ShowS # show :: LabelingJobForWorkteamSummary -> String # showList :: [LabelingJobForWorkteamSummary] -> ShowS #
Generic LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Associated Types type Rep LabelingJobForWorkteamSummary :: Type -> Type # Methods from :: LabelingJobForWorkteamSummary -> Rep LabelingJobForWorkteamSummary x # to :: Rep LabelingJobForWorkteamSummary x -> LabelingJobForWorkteamSummary #
NFData LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Methods rnf :: LabelingJobForWorkteamSummary -> () #
Hashable LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Methods hashWithSalt :: Int -> LabelingJobForWorkteamSummary -> Int # hash :: LabelingJobForWorkteamSummary -> Int #
FromJSON LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary Methods parseJSON :: Value -> Parser LabelingJobForWorkteamSummary # parseJSONList :: Value -> Parser [LabelingJobForWorkteamSummary] #
type Rep LabelingJobForWorkteamSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary type Rep LabelingJobForWorkteamSummary = D1 ('MetaData "LabelingJobForWorkteamSummary" "Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobForWorkteamSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "numberOfHumanWorkersPerDataObject") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "labelCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelCountersForWorkteam)) :: S1 ('MetaSel ('Just "labelingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "jobReferenceCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "workRequesterAccountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newLabelingJobForWorkteamSummary Source #

Arguments

:: Text	`$sel:jobReferenceCode:LabelingJobForWorkteamSummary'`
-> Text	`$sel:workRequesterAccountId:LabelingJobForWorkteamSummary'`
-> UTCTime	`$sel:creationTime:LabelingJobForWorkteamSummary'`
-> LabelingJobForWorkteamSummary

Create a value of LabelingJobForWorkteamSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:numberOfHumanWorkersPerDataObject:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject - The configured number of workers per data object.

$sel:labelCounters:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_labelCounters - Provides information about the progress of a labeling job.

$sel:labelingJobName:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_labelingJobName - The name of the labeling job that the work team is assigned to.

$sel:jobReferenceCode:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_jobReferenceCode - A unique identifier for a labeling job. You can use this to refer to a specific labeling job.

$sel:workRequesterAccountId:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_workRequesterAccountId - The Amazon Web Services account ID of the account used to start the labeling job.

$sel:creationTime:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_creationTime - The date and time that the labeling job was created.

labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject :: Lens' LabelingJobForWorkteamSummary (Maybe Natural) Source #

The configured number of workers per data object.

labelingJobForWorkteamSummary_labelCounters :: Lens' LabelingJobForWorkteamSummary (Maybe LabelCountersForWorkteam) Source #

Provides information about the progress of a labeling job.

labelingJobForWorkteamSummary_labelingJobName :: Lens' LabelingJobForWorkteamSummary (Maybe Text) Source #

The name of the labeling job that the work team is assigned to.

labelingJobForWorkteamSummary_jobReferenceCode :: Lens' LabelingJobForWorkteamSummary Text Source #

A unique identifier for a labeling job. You can use this to refer to a specific labeling job.

labelingJobForWorkteamSummary_workRequesterAccountId :: Lens' LabelingJobForWorkteamSummary Text Source #

The Amazon Web Services account ID of the account used to start the labeling job.

labelingJobForWorkteamSummary_creationTime :: Lens' LabelingJobForWorkteamSummary UTCTime Source #

The date and time that the labeling job was created.

LabelingJobInputConfig

data LabelingJobInputConfig Source #

Input configuration information for a labeling job.

See: newLabelingJobInputConfig smart constructor.

Constructors

LabelingJobInputConfig'
Fields dataAttributes :: Maybe LabelingJobDataAttributes Attributes of the data specified by the customer. dataSource :: LabelingJobDataSource The location of the input data.

Instances

Instances details

Eq LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods (==) :: LabelingJobInputConfig -> LabelingJobInputConfig -> Bool # (/=) :: LabelingJobInputConfig -> LabelingJobInputConfig -> Bool #
Read LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods readsPrec :: Int -> ReadS LabelingJobInputConfig # readList :: ReadS [LabelingJobInputConfig] # readPrec :: ReadPrec LabelingJobInputConfig # readListPrec :: ReadPrec [LabelingJobInputConfig] #
Show LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods showsPrec :: Int -> LabelingJobInputConfig -> ShowS # show :: LabelingJobInputConfig -> String # showList :: [LabelingJobInputConfig] -> ShowS #
Generic LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Associated Types type Rep LabelingJobInputConfig :: Type -> Type # Methods from :: LabelingJobInputConfig -> Rep LabelingJobInputConfig x # to :: Rep LabelingJobInputConfig x -> LabelingJobInputConfig #
NFData LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods rnf :: LabelingJobInputConfig -> () #
Hashable LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods hashWithSalt :: Int -> LabelingJobInputConfig -> Int # hash :: LabelingJobInputConfig -> Int #
ToJSON LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods toJSON :: LabelingJobInputConfig -> Value # toEncoding :: LabelingJobInputConfig -> Encoding # toJSONList :: [LabelingJobInputConfig] -> Value # toEncodingList :: [LabelingJobInputConfig] -> Encoding #
FromJSON LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig Methods parseJSON :: Value -> Parser LabelingJobInputConfig # parseJSONList :: Value -> Parser [LabelingJobInputConfig] #
type Rep LabelingJobInputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig type Rep LabelingJobInputConfig = D1 ('MetaData "LabelingJobInputConfig" "Amazonka.SageMaker.Types.LabelingJobInputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobInputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobDataAttributes)) :*: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelingJobDataSource)))

newLabelingJobInputConfig Source #

Arguments

:: LabelingJobDataSource	`$sel:dataSource:LabelingJobInputConfig'`
-> LabelingJobInputConfig

Create a value of LabelingJobInputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataAttributes:LabelingJobInputConfig', labelingJobInputConfig_dataAttributes - Attributes of the data specified by the customer.

$sel:dataSource:LabelingJobInputConfig', labelingJobInputConfig_dataSource - The location of the input data.

labelingJobInputConfig_dataAttributes :: Lens' LabelingJobInputConfig (Maybe LabelingJobDataAttributes) Source #

Attributes of the data specified by the customer.

labelingJobInputConfig_dataSource :: Lens' LabelingJobInputConfig LabelingJobDataSource Source #

The location of the input data.

LabelingJobOutput

data LabelingJobOutput Source #

Specifies the location of the output produced by the labeling job.

See: newLabelingJobOutput smart constructor.

Constructors

LabelingJobOutput'
Fields finalActiveLearningModelArn :: Maybe Text The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data labeling. outputDatasetS3Uri :: Text The Amazon S3 bucket location of the manifest file for labeled data.

Instances

Instances details

Eq LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Methods (==) :: LabelingJobOutput -> LabelingJobOutput -> Bool # (/=) :: LabelingJobOutput -> LabelingJobOutput -> Bool #
Read LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Methods readsPrec :: Int -> ReadS LabelingJobOutput # readList :: ReadS [LabelingJobOutput] # readPrec :: ReadPrec LabelingJobOutput # readListPrec :: ReadPrec [LabelingJobOutput] #
Show LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Methods showsPrec :: Int -> LabelingJobOutput -> ShowS # show :: LabelingJobOutput -> String # showList :: [LabelingJobOutput] -> ShowS #
Generic LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Associated Types type Rep LabelingJobOutput :: Type -> Type # Methods from :: LabelingJobOutput -> Rep LabelingJobOutput x # to :: Rep LabelingJobOutput x -> LabelingJobOutput #
NFData LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Methods rnf :: LabelingJobOutput -> () #
Hashable LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Methods hashWithSalt :: Int -> LabelingJobOutput -> Int # hash :: LabelingJobOutput -> Int #
FromJSON LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput Methods parseJSON :: Value -> Parser LabelingJobOutput # parseJSONList :: Value -> Parser [LabelingJobOutput] #
type Rep LabelingJobOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutput type Rep LabelingJobOutput = D1 ('MetaData "LabelingJobOutput" "Amazonka.SageMaker.Types.LabelingJobOutput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "finalActiveLearningModelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputDatasetS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newLabelingJobOutput Source #

Arguments

:: Text	`$sel:outputDatasetS3Uri:LabelingJobOutput'`
-> LabelingJobOutput

Create a value of LabelingJobOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:finalActiveLearningModelArn:LabelingJobOutput', labelingJobOutput_finalActiveLearningModelArn - The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data labeling.

$sel:outputDatasetS3Uri:LabelingJobOutput', labelingJobOutput_outputDatasetS3Uri - The Amazon S3 bucket location of the manifest file for labeled data.

labelingJobOutput_finalActiveLearningModelArn :: Lens' LabelingJobOutput (Maybe Text) Source #

The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data labeling.

labelingJobOutput_outputDatasetS3Uri :: Lens' LabelingJobOutput Text Source #

The Amazon S3 bucket location of the manifest file for labeled data.

LabelingJobOutputConfig

data LabelingJobOutputConfig Source #

Output configuration information for a labeling job.

See: newLabelingJobOutputConfig smart constructor.

Constructors

LabelingJobOutputConfig'

Fields

snsTopicArn :: Maybe Text
An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.
If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.
To learn more, see Receive Output Data from a Streaming Labeling Job.
kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.
If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.
If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.
If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
s3OutputPath :: Text
The Amazon S3 location to write output data.

Instances

Instances details

Eq LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods (==) :: LabelingJobOutputConfig -> LabelingJobOutputConfig -> Bool # (/=) :: LabelingJobOutputConfig -> LabelingJobOutputConfig -> Bool #
Read LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods readsPrec :: Int -> ReadS LabelingJobOutputConfig # readList :: ReadS [LabelingJobOutputConfig] # readPrec :: ReadPrec LabelingJobOutputConfig # readListPrec :: ReadPrec [LabelingJobOutputConfig] #
Show LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods showsPrec :: Int -> LabelingJobOutputConfig -> ShowS # show :: LabelingJobOutputConfig -> String # showList :: [LabelingJobOutputConfig] -> ShowS #
Generic LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Associated Types type Rep LabelingJobOutputConfig :: Type -> Type # Methods from :: LabelingJobOutputConfig -> Rep LabelingJobOutputConfig x # to :: Rep LabelingJobOutputConfig x -> LabelingJobOutputConfig #
NFData LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods rnf :: LabelingJobOutputConfig -> () #
Hashable LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods hashWithSalt :: Int -> LabelingJobOutputConfig -> Int # hash :: LabelingJobOutputConfig -> Int #
ToJSON LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods toJSON :: LabelingJobOutputConfig -> Value # toEncoding :: LabelingJobOutputConfig -> Encoding # toJSONList :: [LabelingJobOutputConfig] -> Value # toEncodingList :: [LabelingJobOutputConfig] -> Encoding #
FromJSON LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig Methods parseJSON :: Value -> Parser LabelingJobOutputConfig # parseJSONList :: Value -> Parser [LabelingJobOutputConfig] #
type Rep LabelingJobOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig type Rep LabelingJobOutputConfig = D1 ('MetaData "LabelingJobOutputConfig" "Amazonka.SageMaker.Types.LabelingJobOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "snsTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newLabelingJobOutputConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:LabelingJobOutputConfig'`
-> LabelingJobOutputConfig

Create a value of LabelingJobOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:snsTopicArn:LabelingJobOutputConfig', labelingJobOutputConfig_snsTopicArn - An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.

If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.

To learn more, see Receive Output Data from a Streaming Labeling Job.

$sel:kmsKeyId:LabelingJobOutputConfig', labelingJobOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.

If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.

If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.

If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

$sel:s3OutputPath:LabelingJobOutputConfig', labelingJobOutputConfig_s3OutputPath - The Amazon S3 location to write output data.

labelingJobOutputConfig_snsTopicArn :: Lens' LabelingJobOutputConfig (Maybe Text) Source #

An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.

If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.

To learn more, see Receive Output Data from a Streaming Labeling Job.

labelingJobOutputConfig_kmsKeyId :: Lens' LabelingJobOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.

If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.

If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.

If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

labelingJobOutputConfig_s3OutputPath :: Lens' LabelingJobOutputConfig Text Source #

The Amazon S3 location to write output data.

LabelingJobResourceConfig

data LabelingJobResourceConfig Source #

Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.

See: newLabelingJobResourceConfig smart constructor.

Constructors

LabelingJobResourceConfig'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.
You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.
The VolumeKmsKeyId can be any of the following formats:
- KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```
- Amazon Resource Name (ARN) of a KMS Key
```
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
```

Instances

Instances details

Eq LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods (==) :: LabelingJobResourceConfig -> LabelingJobResourceConfig -> Bool # (/=) :: LabelingJobResourceConfig -> LabelingJobResourceConfig -> Bool #
Read LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods readsPrec :: Int -> ReadS LabelingJobResourceConfig # readList :: ReadS [LabelingJobResourceConfig] # readPrec :: ReadPrec LabelingJobResourceConfig # readListPrec :: ReadPrec [LabelingJobResourceConfig] #
Show LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods showsPrec :: Int -> LabelingJobResourceConfig -> ShowS # show :: LabelingJobResourceConfig -> String # showList :: [LabelingJobResourceConfig] -> ShowS #
Generic LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Associated Types type Rep LabelingJobResourceConfig :: Type -> Type # Methods from :: LabelingJobResourceConfig -> Rep LabelingJobResourceConfig x # to :: Rep LabelingJobResourceConfig x -> LabelingJobResourceConfig #
NFData LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods rnf :: LabelingJobResourceConfig -> () #
Hashable LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods hashWithSalt :: Int -> LabelingJobResourceConfig -> Int # hash :: LabelingJobResourceConfig -> Int #
ToJSON LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods toJSON :: LabelingJobResourceConfig -> Value # toEncoding :: LabelingJobResourceConfig -> Encoding # toJSONList :: [LabelingJobResourceConfig] -> Value # toEncodingList :: [LabelingJobResourceConfig] -> Encoding #
FromJSON LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig Methods parseJSON :: Value -> Parser LabelingJobResourceConfig # parseJSONList :: Value -> Parser [LabelingJobResourceConfig] #
type Rep LabelingJobResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig type Rep LabelingJobResourceConfig = D1 ('MetaData "LabelingJobResourceConfig" "Amazonka.SageMaker.Types.LabelingJobResourceConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobResourceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newLabelingJobResourceConfig :: LabelingJobResourceConfig Source #

Create a value of LabelingJobResourceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:LabelingJobResourceConfig', labelingJobResourceConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

LabelingJobS3DataSource

data LabelingJobS3DataSource Source #

The Amazon S3 location of the input data objects.

See: newLabelingJobS3DataSource smart constructor.

Constructors

LabelingJobS3DataSource'

Fields

manifestS3Uri :: Text
The Amazon S3 location of the manifest file that describes the input data objects.
The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:
- source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
- source: The source of the object is the value. Use this value when the object is a text value.
If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

Instances

Instances details

Eq LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods (==) :: LabelingJobS3DataSource -> LabelingJobS3DataSource -> Bool # (/=) :: LabelingJobS3DataSource -> LabelingJobS3DataSource -> Bool #
Read LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods readsPrec :: Int -> ReadS LabelingJobS3DataSource # readList :: ReadS [LabelingJobS3DataSource] # readPrec :: ReadPrec LabelingJobS3DataSource # readListPrec :: ReadPrec [LabelingJobS3DataSource] #
Show LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods showsPrec :: Int -> LabelingJobS3DataSource -> ShowS # show :: LabelingJobS3DataSource -> String # showList :: [LabelingJobS3DataSource] -> ShowS #
Generic LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Associated Types type Rep LabelingJobS3DataSource :: Type -> Type # Methods from :: LabelingJobS3DataSource -> Rep LabelingJobS3DataSource x # to :: Rep LabelingJobS3DataSource x -> LabelingJobS3DataSource #
NFData LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods rnf :: LabelingJobS3DataSource -> () #
Hashable LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods hashWithSalt :: Int -> LabelingJobS3DataSource -> Int # hash :: LabelingJobS3DataSource -> Int #
ToJSON LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods toJSON :: LabelingJobS3DataSource -> Value # toEncoding :: LabelingJobS3DataSource -> Encoding # toJSONList :: [LabelingJobS3DataSource] -> Value # toEncodingList :: [LabelingJobS3DataSource] -> Encoding #
FromJSON LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource Methods parseJSON :: Value -> Parser LabelingJobS3DataSource # parseJSONList :: Value -> Parser [LabelingJobS3DataSource] #
type Rep LabelingJobS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource type Rep LabelingJobS3DataSource = D1 ('MetaData "LabelingJobS3DataSource" "Amazonka.SageMaker.Types.LabelingJobS3DataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobS3DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "manifestS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newLabelingJobS3DataSource Source #

Arguments

:: Text	`$sel:manifestS3Uri:LabelingJobS3DataSource'`
-> LabelingJobS3DataSource

Create a value of LabelingJobS3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:manifestS3Uri:LabelingJobS3DataSource', labelingJobS3DataSource_manifestS3Uri - The Amazon S3 location of the manifest file that describes the input data objects.

The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:

source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
source: The source of the object is the value. Use this value when the object is a text value.

If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

labelingJobS3DataSource_manifestS3Uri :: Lens' LabelingJobS3DataSource Text Source #

The Amazon S3 location of the manifest file that describes the input data objects.

The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:

source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
source: The source of the object is the value. Use this value when the object is a text value.

If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

LabelingJobSnsDataSource

data LabelingJobSnsDataSource Source #

An Amazon SNS data source used for streaming labeling jobs.

See: newLabelingJobSnsDataSource smart constructor.

Constructors

LabelingJobSnsDataSource'
Fields snsTopicArn :: Text The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

Instances

Instances details

Eq LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods (==) :: LabelingJobSnsDataSource -> LabelingJobSnsDataSource -> Bool # (/=) :: LabelingJobSnsDataSource -> LabelingJobSnsDataSource -> Bool #
Read LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods readsPrec :: Int -> ReadS LabelingJobSnsDataSource # readList :: ReadS [LabelingJobSnsDataSource] # readPrec :: ReadPrec LabelingJobSnsDataSource # readListPrec :: ReadPrec [LabelingJobSnsDataSource] #
Show LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods showsPrec :: Int -> LabelingJobSnsDataSource -> ShowS # show :: LabelingJobSnsDataSource -> String # showList :: [LabelingJobSnsDataSource] -> ShowS #
Generic LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Associated Types type Rep LabelingJobSnsDataSource :: Type -> Type # Methods from :: LabelingJobSnsDataSource -> Rep LabelingJobSnsDataSource x # to :: Rep LabelingJobSnsDataSource x -> LabelingJobSnsDataSource #
NFData LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods rnf :: LabelingJobSnsDataSource -> () #
Hashable LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods hashWithSalt :: Int -> LabelingJobSnsDataSource -> Int # hash :: LabelingJobSnsDataSource -> Int #
ToJSON LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods toJSON :: LabelingJobSnsDataSource -> Value # toEncoding :: LabelingJobSnsDataSource -> Encoding # toJSONList :: [LabelingJobSnsDataSource] -> Value # toEncodingList :: [LabelingJobSnsDataSource] -> Encoding #
FromJSON LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource Methods parseJSON :: Value -> Parser LabelingJobSnsDataSource # parseJSONList :: Value -> Parser [LabelingJobSnsDataSource] #
type Rep LabelingJobSnsDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource type Rep LabelingJobSnsDataSource = D1 ('MetaData "LabelingJobSnsDataSource" "Amazonka.SageMaker.Types.LabelingJobSnsDataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobSnsDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "snsTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newLabelingJobSnsDataSource Source #

Arguments

:: Text	`$sel:snsTopicArn:LabelingJobSnsDataSource'`
-> LabelingJobSnsDataSource

Create a value of LabelingJobSnsDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:snsTopicArn:LabelingJobSnsDataSource', labelingJobSnsDataSource_snsTopicArn - The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

labelingJobSnsDataSource_snsTopicArn :: Lens' LabelingJobSnsDataSource Text Source #

The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

LabelingJobStoppingConditions

data LabelingJobStoppingConditions Source #

A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.

Labeling jobs fail after 30 days with an appropriate client error message.

See: newLabelingJobStoppingConditions smart constructor.

Constructors

LabelingJobStoppingConditions'
Fields maxHumanLabeledObjectCount :: Maybe Natural The maximum number of objects that can be labeled by human workers. maxPercentageOfInputDatasetLabeled :: Maybe Natural The maximum number of input data objects that should be labeled.

Instances

Instances details

Eq LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods (==) :: LabelingJobStoppingConditions -> LabelingJobStoppingConditions -> Bool # (/=) :: LabelingJobStoppingConditions -> LabelingJobStoppingConditions -> Bool #
Read LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods readsPrec :: Int -> ReadS LabelingJobStoppingConditions # readList :: ReadS [LabelingJobStoppingConditions] # readPrec :: ReadPrec LabelingJobStoppingConditions # readListPrec :: ReadPrec [LabelingJobStoppingConditions] #
Show LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods showsPrec :: Int -> LabelingJobStoppingConditions -> ShowS # show :: LabelingJobStoppingConditions -> String # showList :: [LabelingJobStoppingConditions] -> ShowS #
Generic LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Associated Types type Rep LabelingJobStoppingConditions :: Type -> Type # Methods from :: LabelingJobStoppingConditions -> Rep LabelingJobStoppingConditions x # to :: Rep LabelingJobStoppingConditions x -> LabelingJobStoppingConditions #
NFData LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods rnf :: LabelingJobStoppingConditions -> () #
Hashable LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods hashWithSalt :: Int -> LabelingJobStoppingConditions -> Int # hash :: LabelingJobStoppingConditions -> Int #
ToJSON LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods toJSON :: LabelingJobStoppingConditions -> Value # toEncoding :: LabelingJobStoppingConditions -> Encoding # toJSONList :: [LabelingJobStoppingConditions] -> Value # toEncodingList :: [LabelingJobStoppingConditions] -> Encoding #
FromJSON LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions Methods parseJSON :: Value -> Parser LabelingJobStoppingConditions # parseJSONList :: Value -> Parser [LabelingJobStoppingConditions] #
type Rep LabelingJobStoppingConditions Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions type Rep LabelingJobStoppingConditions = D1 ('MetaData "LabelingJobStoppingConditions" "Amazonka.SageMaker.Types.LabelingJobStoppingConditions" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobStoppingConditions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxHumanLabeledObjectCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxPercentageOfInputDatasetLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newLabelingJobStoppingConditions :: LabelingJobStoppingConditions Source #

Create a value of LabelingJobStoppingConditions with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxHumanLabeledObjectCount:LabelingJobStoppingConditions', labelingJobStoppingConditions_maxHumanLabeledObjectCount - The maximum number of objects that can be labeled by human workers.

$sel:maxPercentageOfInputDatasetLabeled:LabelingJobStoppingConditions', labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled - The maximum number of input data objects that should be labeled.

labelingJobStoppingConditions_maxHumanLabeledObjectCount :: Lens' LabelingJobStoppingConditions (Maybe Natural) Source #

The maximum number of objects that can be labeled by human workers.

labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled :: Lens' LabelingJobStoppingConditions (Maybe Natural) Source #

The maximum number of input data objects that should be labeled.

LabelingJobSummary

data LabelingJobSummary Source #

Provides summary information about a labeling job.

See: newLabelingJobSummary smart constructor.

Constructors

LabelingJobSummary'

Fields

failureReason :: Maybe Text
If the LabelingJobStatus field is Failed, this field contains a description of the error.
annotationConsolidationLambdaArn :: Maybe Text
The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.
inputConfig :: Maybe LabelingJobInputConfig
Input configuration for the labeling job.
labelingJobOutput :: Maybe LabelingJobOutput
The location of the output produced by the labeling job.
labelingJobName :: Text
The name of the labeling job.
labelingJobArn :: Text
The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
creationTime :: POSIX
The date and time that the job was created (timestamp).
lastModifiedTime :: POSIX
The date and time that the job was last modified (timestamp).
labelingJobStatus :: LabelingJobStatus
The current status of the labeling job.
labelCounters :: LabelCounters
Counts showing the progress of the labeling job.
workteamArn :: Text
The Amazon Resource Name (ARN) of the work team assigned to the job.
preHumanTaskLambdaArn :: Text
The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

Instances

Instances details

Eq LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Methods (==) :: LabelingJobSummary -> LabelingJobSummary -> Bool # (/=) :: LabelingJobSummary -> LabelingJobSummary -> Bool #
Read LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Methods readsPrec :: Int -> ReadS LabelingJobSummary # readList :: ReadS [LabelingJobSummary] # readPrec :: ReadPrec LabelingJobSummary # readListPrec :: ReadPrec [LabelingJobSummary] #
Show LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Methods showsPrec :: Int -> LabelingJobSummary -> ShowS # show :: LabelingJobSummary -> String # showList :: [LabelingJobSummary] -> ShowS #
Generic LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Associated Types type Rep LabelingJobSummary :: Type -> Type # Methods from :: LabelingJobSummary -> Rep LabelingJobSummary x # to :: Rep LabelingJobSummary x -> LabelingJobSummary #
NFData LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Methods rnf :: LabelingJobSummary -> () #
Hashable LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Methods hashWithSalt :: Int -> LabelingJobSummary -> Int # hash :: LabelingJobSummary -> Int #
FromJSON LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary Methods parseJSON :: Value -> Parser LabelingJobSummary # parseJSONList :: Value -> Parser [LabelingJobSummary] #
type Rep LabelingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.LabelingJobSummary type Rep LabelingJobSummary = D1 ('MetaData "LabelingJobSummary" "Amazonka.SageMaker.Types.LabelingJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LabelingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "annotationConsolidationLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "inputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobInputConfig)))) :: (S1 ('MetaSel ('Just "labelingJobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobOutput)) :: (S1 ('MetaSel ('Just "labelingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "labelingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :: ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "labelingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelingJobStatus))) :: (S1 ('MetaSel ('Just "labelCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelCounters) :: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "preHumanTaskLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newLabelingJobSummary Source #

Arguments

:: Text	`$sel:labelingJobName:LabelingJobSummary'`
-> Text	`$sel:labelingJobArn:LabelingJobSummary'`
-> UTCTime	`$sel:creationTime:LabelingJobSummary'`
-> UTCTime	`$sel:lastModifiedTime:LabelingJobSummary'`
-> LabelingJobStatus	`$sel:labelingJobStatus:LabelingJobSummary'`
-> LabelCounters	`$sel:labelCounters:LabelingJobSummary'`
-> Text	`$sel:workteamArn:LabelingJobSummary'`
-> Text	`$sel:preHumanTaskLambdaArn:LabelingJobSummary'`
-> LabelingJobSummary

Create a value of LabelingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:LabelingJobSummary', labelingJobSummary_failureReason - If the LabelingJobStatus field is Failed, this field contains a description of the error.

$sel:annotationConsolidationLambdaArn:LabelingJobSummary', labelingJobSummary_annotationConsolidationLambdaArn - The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.

$sel:inputConfig:LabelingJobSummary', labelingJobSummary_inputConfig - Input configuration for the labeling job.

$sel:labelingJobOutput:LabelingJobSummary', labelingJobSummary_labelingJobOutput - The location of the output produced by the labeling job.

$sel:labelingJobName:LabelingJobSummary', labelingJobSummary_labelingJobName - The name of the labeling job.

$sel:labelingJobArn:LabelingJobSummary', labelingJobSummary_labelingJobArn - The Amazon Resource Name (ARN) assigned to the labeling job when it was created.

$sel:creationTime:LabelingJobSummary', labelingJobSummary_creationTime - The date and time that the job was created (timestamp).

$sel:lastModifiedTime:LabelingJobSummary', labelingJobSummary_lastModifiedTime - The date and time that the job was last modified (timestamp).

$sel:labelingJobStatus:LabelingJobSummary', labelingJobSummary_labelingJobStatus - The current status of the labeling job.

$sel:labelCounters:LabelingJobSummary', labelingJobSummary_labelCounters - Counts showing the progress of the labeling job.

$sel:workteamArn:LabelingJobSummary', labelingJobSummary_workteamArn - The Amazon Resource Name (ARN) of the work team assigned to the job.

$sel:preHumanTaskLambdaArn:LabelingJobSummary', labelingJobSummary_preHumanTaskLambdaArn - The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

labelingJobSummary_failureReason :: Lens' LabelingJobSummary (Maybe Text) Source #

If the LabelingJobStatus field is Failed, this field contains a description of the error.

labelingJobSummary_annotationConsolidationLambdaArn :: Lens' LabelingJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.

labelingJobSummary_inputConfig :: Lens' LabelingJobSummary (Maybe LabelingJobInputConfig) Source #

Input configuration for the labeling job.

labelingJobSummary_labelingJobOutput :: Lens' LabelingJobSummary (Maybe LabelingJobOutput) Source #

The location of the output produced by the labeling job.

labelingJobSummary_labelingJobName :: Lens' LabelingJobSummary Text Source #

The name of the labeling job.

labelingJobSummary_labelingJobArn :: Lens' LabelingJobSummary Text Source #

The Amazon Resource Name (ARN) assigned to the labeling job when it was created.

labelingJobSummary_creationTime :: Lens' LabelingJobSummary UTCTime Source #

The date and time that the job was created (timestamp).

labelingJobSummary_lastModifiedTime :: Lens' LabelingJobSummary UTCTime Source #

The date and time that the job was last modified (timestamp).

labelingJobSummary_labelingJobStatus :: Lens' LabelingJobSummary LabelingJobStatus Source #

The current status of the labeling job.

labelingJobSummary_labelCounters :: Lens' LabelingJobSummary LabelCounters Source #

Counts showing the progress of the labeling job.

labelingJobSummary_workteamArn :: Lens' LabelingJobSummary Text Source #

The Amazon Resource Name (ARN) of the work team assigned to the job.

labelingJobSummary_preHumanTaskLambdaArn :: Lens' LabelingJobSummary Text Source #

The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

LambdaStepMetadata

data LambdaStepMetadata Source #

Metadata for a Lambda step.

See: newLambdaStepMetadata smart constructor.

Constructors

LambdaStepMetadata'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution. outputParameters :: Maybe [OutputParameter] A list of the output parameters of the Lambda step.

Instances

Instances details

Eq LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Methods (==) :: LambdaStepMetadata -> LambdaStepMetadata -> Bool # (/=) :: LambdaStepMetadata -> LambdaStepMetadata -> Bool #
Read LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Methods readsPrec :: Int -> ReadS LambdaStepMetadata # readList :: ReadS [LambdaStepMetadata] # readPrec :: ReadPrec LambdaStepMetadata # readListPrec :: ReadPrec [LambdaStepMetadata] #
Show LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Methods showsPrec :: Int -> LambdaStepMetadata -> ShowS # show :: LambdaStepMetadata -> String # showList :: [LambdaStepMetadata] -> ShowS #
Generic LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Associated Types type Rep LambdaStepMetadata :: Type -> Type # Methods from :: LambdaStepMetadata -> Rep LambdaStepMetadata x # to :: Rep LambdaStepMetadata x -> LambdaStepMetadata #
NFData LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Methods rnf :: LambdaStepMetadata -> () #
Hashable LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Methods hashWithSalt :: Int -> LambdaStepMetadata -> Int # hash :: LambdaStepMetadata -> Int #
FromJSON LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata Methods parseJSON :: Value -> Parser LambdaStepMetadata # parseJSONList :: Value -> Parser [LambdaStepMetadata] #
type Rep LambdaStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.LambdaStepMetadata type Rep LambdaStepMetadata = D1 ('MetaData "LambdaStepMetadata" "Amazonka.SageMaker.Types.LambdaStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "LambdaStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [OutputParameter]))))

newLambdaStepMetadata :: LambdaStepMetadata Source #

Create a value of LambdaStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:LambdaStepMetadata', lambdaStepMetadata_arn - The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.

$sel:outputParameters:LambdaStepMetadata', lambdaStepMetadata_outputParameters - A list of the output parameters of the Lambda step.

lambdaStepMetadata_arn :: Lens' LambdaStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.

lambdaStepMetadata_outputParameters :: Lens' LambdaStepMetadata (Maybe [OutputParameter]) Source #

A list of the output parameters of the Lambda step.

MemberDefinition

data MemberDefinition Source #

Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.

See: newMemberDefinition smart constructor.

Constructors

MemberDefinition'

Fields

oidcMemberDefinition :: Maybe OidcMemberDefinition
A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.
cognitoMemberDefinition :: Maybe CognitoMemberDefinition
The Amazon Cognito user group that is part of the work team.

Instances

Instances details

Eq MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods (==) :: MemberDefinition -> MemberDefinition -> Bool # (/=) :: MemberDefinition -> MemberDefinition -> Bool #
Read MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods readsPrec :: Int -> ReadS MemberDefinition # readList :: ReadS [MemberDefinition] # readPrec :: ReadPrec MemberDefinition # readListPrec :: ReadPrec [MemberDefinition] #
Show MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods showsPrec :: Int -> MemberDefinition -> ShowS # show :: MemberDefinition -> String # showList :: [MemberDefinition] -> ShowS #
Generic MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Associated Types type Rep MemberDefinition :: Type -> Type # Methods from :: MemberDefinition -> Rep MemberDefinition x # to :: Rep MemberDefinition x -> MemberDefinition #
NFData MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods rnf :: MemberDefinition -> () #
Hashable MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods hashWithSalt :: Int -> MemberDefinition -> Int # hash :: MemberDefinition -> Int #
ToJSON MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods toJSON :: MemberDefinition -> Value # toEncoding :: MemberDefinition -> Encoding # toJSONList :: [MemberDefinition] -> Value # toEncodingList :: [MemberDefinition] -> Encoding #
FromJSON MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition Methods parseJSON :: Value -> Parser MemberDefinition # parseJSONList :: Value -> Parser [MemberDefinition] #
type Rep MemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MemberDefinition type Rep MemberDefinition = D1 ('MetaData "MemberDefinition" "Amazonka.SageMaker.Types.MemberDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MemberDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "oidcMemberDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OidcMemberDefinition)) :*: S1 ('MetaSel ('Just "cognitoMemberDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CognitoMemberDefinition))))

newMemberDefinition :: MemberDefinition Source #

Create a value of MemberDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:oidcMemberDefinition:MemberDefinition', memberDefinition_oidcMemberDefinition - A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

$sel:cognitoMemberDefinition:MemberDefinition', memberDefinition_cognitoMemberDefinition - The Amazon Cognito user group that is part of the work team.

memberDefinition_oidcMemberDefinition :: Lens' MemberDefinition (Maybe OidcMemberDefinition) Source #

A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

memberDefinition_cognitoMemberDefinition :: Lens' MemberDefinition (Maybe CognitoMemberDefinition) Source #

The Amazon Cognito user group that is part of the work team.

MetadataProperties

data MetadataProperties Source #

Metadata properties of the tracking entity, trial, or trial component.

See: newMetadataProperties smart constructor.

Constructors

MetadataProperties'
Fields commitId :: Maybe Text The commit ID. repository :: Maybe Text The repository. generatedBy :: Maybe Text The entity this entity was generated by. projectId :: Maybe Text The project ID.

Instances

Instances details

Eq MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods (==) :: MetadataProperties -> MetadataProperties -> Bool # (/=) :: MetadataProperties -> MetadataProperties -> Bool #
Read MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods readsPrec :: Int -> ReadS MetadataProperties # readList :: ReadS [MetadataProperties] # readPrec :: ReadPrec MetadataProperties # readListPrec :: ReadPrec [MetadataProperties] #
Show MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods showsPrec :: Int -> MetadataProperties -> ShowS # show :: MetadataProperties -> String # showList :: [MetadataProperties] -> ShowS #
Generic MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Associated Types type Rep MetadataProperties :: Type -> Type # Methods from :: MetadataProperties -> Rep MetadataProperties x # to :: Rep MetadataProperties x -> MetadataProperties #
NFData MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods rnf :: MetadataProperties -> () #
Hashable MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods hashWithSalt :: Int -> MetadataProperties -> Int # hash :: MetadataProperties -> Int #
ToJSON MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods toJSON :: MetadataProperties -> Value # toEncoding :: MetadataProperties -> Encoding # toJSONList :: [MetadataProperties] -> Value # toEncodingList :: [MetadataProperties] -> Encoding #
FromJSON MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties Methods parseJSON :: Value -> Parser MetadataProperties # parseJSONList :: Value -> Parser [MetadataProperties] #
type Rep MetadataProperties Source #
Instance details Defined in Amazonka.SageMaker.Types.MetadataProperties type Rep MetadataProperties = D1 ('MetaData "MetadataProperties" "Amazonka.SageMaker.Types.MetadataProperties" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MetadataProperties'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "commitId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "repository") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "generatedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newMetadataProperties :: MetadataProperties Source #

Create a value of MetadataProperties with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:commitId:MetadataProperties', metadataProperties_commitId - The commit ID.

$sel:repository:MetadataProperties', metadataProperties_repository - The repository.

$sel:generatedBy:MetadataProperties', metadataProperties_generatedBy - The entity this entity was generated by.

$sel:projectId:MetadataProperties', metadataProperties_projectId - The project ID.

metadataProperties_commitId :: Lens' MetadataProperties (Maybe Text) Source #

The commit ID.

metadataProperties_repository :: Lens' MetadataProperties (Maybe Text) Source #

The repository.

metadataProperties_generatedBy :: Lens' MetadataProperties (Maybe Text) Source #

The entity this entity was generated by.

metadataProperties_projectId :: Lens' MetadataProperties (Maybe Text) Source #

The project ID.

MetricData

data MetricData Source #

The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.

See: newMetricData smart constructor.

Constructors

MetricData'
Fields metricName :: Maybe Text The name of the metric. value :: Maybe Double The value of the metric. timestamp :: Maybe POSIX The date and time that the algorithm emitted the metric.

Instances

Instances details

Eq MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Methods (==) :: MetricData -> MetricData -> Bool # (/=) :: MetricData -> MetricData -> Bool #
Read MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Methods readsPrec :: Int -> ReadS MetricData # readList :: ReadS [MetricData] # readPrec :: ReadPrec MetricData # readListPrec :: ReadPrec [MetricData] #
Show MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Methods showsPrec :: Int -> MetricData -> ShowS # show :: MetricData -> String # showList :: [MetricData] -> ShowS #
Generic MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Associated Types type Rep MetricData :: Type -> Type # Methods from :: MetricData -> Rep MetricData x # to :: Rep MetricData x -> MetricData #
NFData MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Methods rnf :: MetricData -> () #
Hashable MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Methods hashWithSalt :: Int -> MetricData -> Int # hash :: MetricData -> Int #
FromJSON MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData Methods parseJSON :: Value -> Parser MetricData # parseJSONList :: Value -> Parser [MetricData] #
type Rep MetricData Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricData type Rep MetricData = D1 ('MetaData "MetricData" "Amazonka.SageMaker.Types.MetricData" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MetricData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))

newMetricData :: MetricData Source #

Create a value of MetricData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:MetricData', metricData_metricName - The name of the metric.

$sel:value:MetricData', metricData_value - The value of the metric.

$sel:timestamp:MetricData', metricData_timestamp - The date and time that the algorithm emitted the metric.

metricData_metricName :: Lens' MetricData (Maybe Text) Source #

The name of the metric.

metricData_value :: Lens' MetricData (Maybe Double) Source #

The value of the metric.

metricData_timestamp :: Lens' MetricData (Maybe UTCTime) Source #

The date and time that the algorithm emitted the metric.

MetricDatum

data MetricDatum Source #

Information about the metric for a candidate produced by an AutoML job.

See: newMetricDatum smart constructor.

Constructors

MetricDatum'
Fields set :: Maybe MetricSetSource The dataset split from which the AutoML job produced the metric. metricName :: Maybe AutoMLMetricEnum The name of the metric. value :: Maybe Double The value of the metric.

Instances

Instances details

Eq MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Methods (==) :: MetricDatum -> MetricDatum -> Bool # (/=) :: MetricDatum -> MetricDatum -> Bool #
Read MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Methods readsPrec :: Int -> ReadS MetricDatum # readList :: ReadS [MetricDatum] # readPrec :: ReadPrec MetricDatum # readListPrec :: ReadPrec [MetricDatum] #
Show MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Methods showsPrec :: Int -> MetricDatum -> ShowS # show :: MetricDatum -> String # showList :: [MetricDatum] -> ShowS #
Generic MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Associated Types type Rep MetricDatum :: Type -> Type # Methods from :: MetricDatum -> Rep MetricDatum x # to :: Rep MetricDatum x -> MetricDatum #
NFData MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Methods rnf :: MetricDatum -> () #
Hashable MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Methods hashWithSalt :: Int -> MetricDatum -> Int # hash :: MetricDatum -> Int #
FromJSON MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum Methods parseJSON :: Value -> Parser MetricDatum # parseJSONList :: Value -> Parser [MetricDatum] #
type Rep MetricDatum Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDatum type Rep MetricDatum = D1 ('MetaData "MetricDatum" "Amazonka.SageMaker.Types.MetricDatum" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MetricDatum'" 'PrefixI 'True) (S1 ('MetaSel ('Just "set") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricSetSource)) :: (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLMetricEnum)) :: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newMetricDatum :: MetricDatum Source #

Create a value of MetricDatum with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:set:MetricDatum', metricDatum_set - The dataset split from which the AutoML job produced the metric.

$sel:metricName:MetricDatum', metricDatum_metricName - The name of the metric.

$sel:value:MetricDatum', metricDatum_value - The value of the metric.

metricDatum_set :: Lens' MetricDatum (Maybe MetricSetSource) Source #

The dataset split from which the AutoML job produced the metric.

metricDatum_metricName :: Lens' MetricDatum (Maybe AutoMLMetricEnum) Source #

The name of the metric.

metricDatum_value :: Lens' MetricDatum (Maybe Double) Source #

The value of the metric.

MetricDefinition

data MetricDefinition Source #

Specifies a metric that the training algorithm writes to stderr or stdout. Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.

See: newMetricDefinition smart constructor.

Constructors

MetricDefinition'
Fields name :: Text The name of the metric. regex :: Text A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

Instances

Instances details

Eq MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods (==) :: MetricDefinition -> MetricDefinition -> Bool # (/=) :: MetricDefinition -> MetricDefinition -> Bool #
Read MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods readsPrec :: Int -> ReadS MetricDefinition # readList :: ReadS [MetricDefinition] # readPrec :: ReadPrec MetricDefinition # readListPrec :: ReadPrec [MetricDefinition] #
Show MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods showsPrec :: Int -> MetricDefinition -> ShowS # show :: MetricDefinition -> String # showList :: [MetricDefinition] -> ShowS #
Generic MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Associated Types type Rep MetricDefinition :: Type -> Type # Methods from :: MetricDefinition -> Rep MetricDefinition x # to :: Rep MetricDefinition x -> MetricDefinition #
NFData MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods rnf :: MetricDefinition -> () #
Hashable MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods hashWithSalt :: Int -> MetricDefinition -> Int # hash :: MetricDefinition -> Int #
ToJSON MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods toJSON :: MetricDefinition -> Value # toEncoding :: MetricDefinition -> Encoding # toJSONList :: [MetricDefinition] -> Value # toEncodingList :: [MetricDefinition] -> Encoding #
FromJSON MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition Methods parseJSON :: Value -> Parser MetricDefinition # parseJSONList :: Value -> Parser [MetricDefinition] #
type Rep MetricDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricDefinition type Rep MetricDefinition = D1 ('MetaData "MetricDefinition" "Amazonka.SageMaker.Types.MetricDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MetricDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "regex") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newMetricDefinition Source #

Arguments

:: Text	`$sel:name:MetricDefinition'`
-> Text	`$sel:regex:MetricDefinition'`
-> MetricDefinition

Create a value of MetricDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:MetricDefinition', metricDefinition_name - The name of the metric.

$sel:regex:MetricDefinition', metricDefinition_regex - A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

metricDefinition_name :: Lens' MetricDefinition Text Source #

The name of the metric.

metricDefinition_regex :: Lens' MetricDefinition Text Source #

A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

MetricsSource

data MetricsSource Source #

See: newMetricsSource smart constructor.

Constructors

MetricsSource'
Fields contentDigest :: Maybe Text contentType :: Text s3Uri :: Text

Instances

Instances details

Eq MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods (==) :: MetricsSource -> MetricsSource -> Bool # (/=) :: MetricsSource -> MetricsSource -> Bool #
Read MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods readsPrec :: Int -> ReadS MetricsSource # readList :: ReadS [MetricsSource] # readPrec :: ReadPrec MetricsSource # readListPrec :: ReadPrec [MetricsSource] #
Show MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods showsPrec :: Int -> MetricsSource -> ShowS # show :: MetricsSource -> String # showList :: [MetricsSource] -> ShowS #
Generic MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Associated Types type Rep MetricsSource :: Type -> Type # Methods from :: MetricsSource -> Rep MetricsSource x # to :: Rep MetricsSource x -> MetricsSource #
NFData MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods rnf :: MetricsSource -> () #
Hashable MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods hashWithSalt :: Int -> MetricsSource -> Int # hash :: MetricsSource -> Int #
ToJSON MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods toJSON :: MetricsSource -> Value # toEncoding :: MetricsSource -> Encoding # toJSONList :: [MetricsSource] -> Value # toEncodingList :: [MetricsSource] -> Encoding #
FromJSON MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource Methods parseJSON :: Value -> Parser MetricsSource # parseJSONList :: Value -> Parser [MetricsSource] #
type Rep MetricsSource Source #
Instance details Defined in Amazonka.SageMaker.Types.MetricsSource type Rep MetricsSource = D1 ('MetaData "MetricsSource" "Amazonka.SageMaker.Types.MetricsSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MetricsSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMetricsSource Source #

Arguments

:: Text	`$sel:contentType:MetricsSource'`
-> Text	`$sel:s3Uri:MetricsSource'`
-> MetricsSource

Create a value of MetricsSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentDigest:MetricsSource', metricsSource_contentDigest -

$sel:contentType:MetricsSource', metricsSource_contentType -

$sel:s3Uri:MetricsSource', metricsSource_s3Uri -

metricsSource_contentDigest :: Lens' MetricsSource (Maybe Text) Source #

metricsSource_contentType :: Lens' MetricsSource Text Source #

metricsSource_s3Uri :: Lens' MetricsSource Text Source #

ModelArtifacts

data ModelArtifacts Source #

Provides information about the location that is configured for storing model artifacts.

Model artifacts are the output that results from training a model, and typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata.

See: newModelArtifacts smart constructor.

Constructors

ModelArtifacts'
Fields s3ModelArtifacts :: Text The path of the S3 object that contains the model artifacts. For example, `s3://bucket-name/keynameprefix/model.tar.gz`.

Instances

Instances details

Eq ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Methods (==) :: ModelArtifacts -> ModelArtifacts -> Bool # (/=) :: ModelArtifacts -> ModelArtifacts -> Bool #
Read ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Methods readsPrec :: Int -> ReadS ModelArtifacts # readList :: ReadS [ModelArtifacts] # readPrec :: ReadPrec ModelArtifacts # readListPrec :: ReadPrec [ModelArtifacts] #
Show ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Methods showsPrec :: Int -> ModelArtifacts -> ShowS # show :: ModelArtifacts -> String # showList :: [ModelArtifacts] -> ShowS #
Generic ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Associated Types type Rep ModelArtifacts :: Type -> Type # Methods from :: ModelArtifacts -> Rep ModelArtifacts x # to :: Rep ModelArtifacts x -> ModelArtifacts #
NFData ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Methods rnf :: ModelArtifacts -> () #
Hashable ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Methods hashWithSalt :: Int -> ModelArtifacts -> Int # hash :: ModelArtifacts -> Int #
FromJSON ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts Methods parseJSON :: Value -> Parser ModelArtifacts # parseJSONList :: Value -> Parser [ModelArtifacts] #
type Rep ModelArtifacts Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelArtifacts type Rep ModelArtifacts = D1 ('MetaData "ModelArtifacts" "Amazonka.SageMaker.Types.ModelArtifacts" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelArtifacts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3ModelArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newModelArtifacts Source #

Arguments

:: Text	`$sel:s3ModelArtifacts:ModelArtifacts'`
-> ModelArtifacts

Create a value of ModelArtifacts with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3ModelArtifacts:ModelArtifacts', modelArtifacts_s3ModelArtifacts - The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.

modelArtifacts_s3ModelArtifacts :: Lens' ModelArtifacts Text Source #

The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.

ModelBiasAppSpecification

data ModelBiasAppSpecification Source #

Docker container image configuration object for the model bias job.

See: newModelBiasAppSpecification smart constructor.

Constructors

ModelBiasAppSpecification'
Fields environment :: Maybe (HashMap Text Text) Sets the environment variables in the Docker container. imageUri :: Text The container image to be run by the model bias job. configUri :: Text JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.

Instances

Instances details

Eq ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods (==) :: ModelBiasAppSpecification -> ModelBiasAppSpecification -> Bool # (/=) :: ModelBiasAppSpecification -> ModelBiasAppSpecification -> Bool #
Read ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods readsPrec :: Int -> ReadS ModelBiasAppSpecification # readList :: ReadS [ModelBiasAppSpecification] # readPrec :: ReadPrec ModelBiasAppSpecification # readListPrec :: ReadPrec [ModelBiasAppSpecification] #
Show ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods showsPrec :: Int -> ModelBiasAppSpecification -> ShowS # show :: ModelBiasAppSpecification -> String # showList :: [ModelBiasAppSpecification] -> ShowS #
Generic ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Associated Types type Rep ModelBiasAppSpecification :: Type -> Type # Methods from :: ModelBiasAppSpecification -> Rep ModelBiasAppSpecification x # to :: Rep ModelBiasAppSpecification x -> ModelBiasAppSpecification #
NFData ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods rnf :: ModelBiasAppSpecification -> () #
Hashable ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods hashWithSalt :: Int -> ModelBiasAppSpecification -> Int # hash :: ModelBiasAppSpecification -> Int #
ToJSON ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods toJSON :: ModelBiasAppSpecification -> Value # toEncoding :: ModelBiasAppSpecification -> Encoding # toJSONList :: [ModelBiasAppSpecification] -> Value # toEncodingList :: [ModelBiasAppSpecification] -> Encoding #
FromJSON ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification Methods parseJSON :: Value -> Parser ModelBiasAppSpecification # parseJSONList :: Value -> Parser [ModelBiasAppSpecification] #
type Rep ModelBiasAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification type Rep ModelBiasAppSpecification = D1 ('MetaData "ModelBiasAppSpecification" "Amazonka.SageMaker.Types.ModelBiasAppSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelBiasAppSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "configUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newModelBiasAppSpecification Source #

Arguments

:: Text	`$sel:imageUri:ModelBiasAppSpecification'`
-> Text	`$sel:configUri:ModelBiasAppSpecification'`
-> ModelBiasAppSpecification

Create a value of ModelBiasAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:ModelBiasAppSpecification', modelBiasAppSpecification_environment - Sets the environment variables in the Docker container.

$sel:imageUri:ModelBiasAppSpecification', modelBiasAppSpecification_imageUri - The container image to be run by the model bias job.

$sel:configUri:ModelBiasAppSpecification', modelBiasAppSpecification_configUri - JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.

modelBiasAppSpecification_environment :: Lens' ModelBiasAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

modelBiasAppSpecification_imageUri :: Lens' ModelBiasAppSpecification Text Source #

The container image to be run by the model bias job.

modelBiasAppSpecification_configUri :: Lens' ModelBiasAppSpecification Text Source #

JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.

ModelBiasBaselineConfig

data ModelBiasBaselineConfig Source #

The configuration for a baseline model bias job.

See: newModelBiasBaselineConfig smart constructor.

Constructors

ModelBiasBaselineConfig'
Fields constraintsResource :: Maybe MonitoringConstraintsResource baseliningJobName :: Maybe Text The name of the baseline model bias job.

Instances

Instances details

Eq ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods (==) :: ModelBiasBaselineConfig -> ModelBiasBaselineConfig -> Bool # (/=) :: ModelBiasBaselineConfig -> ModelBiasBaselineConfig -> Bool #
Read ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods readsPrec :: Int -> ReadS ModelBiasBaselineConfig # readList :: ReadS [ModelBiasBaselineConfig] # readPrec :: ReadPrec ModelBiasBaselineConfig # readListPrec :: ReadPrec [ModelBiasBaselineConfig] #
Show ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods showsPrec :: Int -> ModelBiasBaselineConfig -> ShowS # show :: ModelBiasBaselineConfig -> String # showList :: [ModelBiasBaselineConfig] -> ShowS #
Generic ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Associated Types type Rep ModelBiasBaselineConfig :: Type -> Type # Methods from :: ModelBiasBaselineConfig -> Rep ModelBiasBaselineConfig x # to :: Rep ModelBiasBaselineConfig x -> ModelBiasBaselineConfig #
NFData ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods rnf :: ModelBiasBaselineConfig -> () #
Hashable ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods hashWithSalt :: Int -> ModelBiasBaselineConfig -> Int # hash :: ModelBiasBaselineConfig -> Int #
ToJSON ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods toJSON :: ModelBiasBaselineConfig -> Value # toEncoding :: ModelBiasBaselineConfig -> Encoding # toJSONList :: [ModelBiasBaselineConfig] -> Value # toEncodingList :: [ModelBiasBaselineConfig] -> Encoding #
FromJSON ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig Methods parseJSON :: Value -> Parser ModelBiasBaselineConfig # parseJSONList :: Value -> Parser [ModelBiasBaselineConfig] #
type Rep ModelBiasBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig type Rep ModelBiasBaselineConfig = D1 ('MetaData "ModelBiasBaselineConfig" "Amazonka.SageMaker.Types.ModelBiasBaselineConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelBiasBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :*: S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelBiasBaselineConfig :: ModelBiasBaselineConfig Source #

Create a value of ModelBiasBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraintsResource:ModelBiasBaselineConfig', modelBiasBaselineConfig_constraintsResource - Undocumented member.

$sel:baseliningJobName:ModelBiasBaselineConfig', modelBiasBaselineConfig_baseliningJobName - The name of the baseline model bias job.

modelBiasBaselineConfig_constraintsResource :: Lens' ModelBiasBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

modelBiasBaselineConfig_baseliningJobName :: Lens' ModelBiasBaselineConfig (Maybe Text) Source #

The name of the baseline model bias job.

ModelBiasJobInput

data ModelBiasJobInput Source #

Inputs for the model bias job.

See: newModelBiasJobInput smart constructor.

Constructors

ModelBiasJobInput'
Fields endpointInput :: EndpointInput groundTruthS3Input :: MonitoringGroundTruthS3Input Location of ground truth labels to use in model bias job.

Instances

Instances details

Eq ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods (==) :: ModelBiasJobInput -> ModelBiasJobInput -> Bool # (/=) :: ModelBiasJobInput -> ModelBiasJobInput -> Bool #
Read ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods readsPrec :: Int -> ReadS ModelBiasJobInput # readList :: ReadS [ModelBiasJobInput] # readPrec :: ReadPrec ModelBiasJobInput # readListPrec :: ReadPrec [ModelBiasJobInput] #
Show ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods showsPrec :: Int -> ModelBiasJobInput -> ShowS # show :: ModelBiasJobInput -> String # showList :: [ModelBiasJobInput] -> ShowS #
Generic ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Associated Types type Rep ModelBiasJobInput :: Type -> Type # Methods from :: ModelBiasJobInput -> Rep ModelBiasJobInput x # to :: Rep ModelBiasJobInput x -> ModelBiasJobInput #
NFData ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods rnf :: ModelBiasJobInput -> () #
Hashable ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods hashWithSalt :: Int -> ModelBiasJobInput -> Int # hash :: ModelBiasJobInput -> Int #
ToJSON ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods toJSON :: ModelBiasJobInput -> Value # toEncoding :: ModelBiasJobInput -> Encoding # toJSONList :: [ModelBiasJobInput] -> Value # toEncodingList :: [ModelBiasJobInput] -> Encoding #
FromJSON ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput Methods parseJSON :: Value -> Parser ModelBiasJobInput # parseJSONList :: Value -> Parser [ModelBiasJobInput] #
type Rep ModelBiasJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelBiasJobInput type Rep ModelBiasJobInput = D1 ('MetaData "ModelBiasJobInput" "Amazonka.SageMaker.Types.ModelBiasJobInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelBiasJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointInput) :*: S1 ('MetaSel ('Just "groundTruthS3Input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringGroundTruthS3Input)))

newModelBiasJobInput Source #

Arguments

:: EndpointInput	`$sel:endpointInput:ModelBiasJobInput'`
-> MonitoringGroundTruthS3Input	`$sel:groundTruthS3Input:ModelBiasJobInput'`
-> ModelBiasJobInput

Create a value of ModelBiasJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointInput:ModelBiasJobInput', modelBiasJobInput_endpointInput - Undocumented member.

$sel:groundTruthS3Input:ModelBiasJobInput', modelBiasJobInput_groundTruthS3Input - Location of ground truth labels to use in model bias job.

modelBiasJobInput_endpointInput :: Lens' ModelBiasJobInput EndpointInput Source #

Undocumented member.

modelBiasJobInput_groundTruthS3Input :: Lens' ModelBiasJobInput MonitoringGroundTruthS3Input Source #

Location of ground truth labels to use in model bias job.

ModelClientConfig

data ModelClientConfig Source #

Configures the timeout and maximum number of retries for processing a transform job invocation.

See: newModelClientConfig smart constructor.

Constructors

ModelClientConfig'
Fields invocationsTimeoutInSeconds :: Maybe Natural The timeout value in seconds for an invocation request. invocationsMaxRetries :: Maybe Natural The maximum number of retries when invocation requests are failing.

Instances

Instances details

Eq ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods (==) :: ModelClientConfig -> ModelClientConfig -> Bool # (/=) :: ModelClientConfig -> ModelClientConfig -> Bool #
Read ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods readsPrec :: Int -> ReadS ModelClientConfig # readList :: ReadS [ModelClientConfig] # readPrec :: ReadPrec ModelClientConfig # readListPrec :: ReadPrec [ModelClientConfig] #
Show ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods showsPrec :: Int -> ModelClientConfig -> ShowS # show :: ModelClientConfig -> String # showList :: [ModelClientConfig] -> ShowS #
Generic ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Associated Types type Rep ModelClientConfig :: Type -> Type # Methods from :: ModelClientConfig -> Rep ModelClientConfig x # to :: Rep ModelClientConfig x -> ModelClientConfig #
NFData ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods rnf :: ModelClientConfig -> () #
Hashable ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods hashWithSalt :: Int -> ModelClientConfig -> Int # hash :: ModelClientConfig -> Int #
ToJSON ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods toJSON :: ModelClientConfig -> Value # toEncoding :: ModelClientConfig -> Encoding # toJSONList :: [ModelClientConfig] -> Value # toEncodingList :: [ModelClientConfig] -> Encoding #
FromJSON ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig Methods parseJSON :: Value -> Parser ModelClientConfig # parseJSONList :: Value -> Parser [ModelClientConfig] #
type Rep ModelClientConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelClientConfig type Rep ModelClientConfig = D1 ('MetaData "ModelClientConfig" "Amazonka.SageMaker.Types.ModelClientConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelClientConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "invocationsTimeoutInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "invocationsMaxRetries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newModelClientConfig :: ModelClientConfig Source #

Create a value of ModelClientConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:invocationsTimeoutInSeconds:ModelClientConfig', modelClientConfig_invocationsTimeoutInSeconds - The timeout value in seconds for an invocation request.

$sel:invocationsMaxRetries:ModelClientConfig', modelClientConfig_invocationsMaxRetries - The maximum number of retries when invocation requests are failing.

modelClientConfig_invocationsTimeoutInSeconds :: Lens' ModelClientConfig (Maybe Natural) Source #

The timeout value in seconds for an invocation request.

modelClientConfig_invocationsMaxRetries :: Lens' ModelClientConfig (Maybe Natural) Source #

The maximum number of retries when invocation requests are failing.

ModelDataQuality

data ModelDataQuality Source #

Data quality constraints and statistics for a model.

See: newModelDataQuality smart constructor.

Constructors

ModelDataQuality'
Fields constraints :: Maybe MetricsSource Data quality constraints for a model. statistics :: Maybe MetricsSource Data quality statistics for a model.

Instances

Instances details

Eq ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods (==) :: ModelDataQuality -> ModelDataQuality -> Bool # (/=) :: ModelDataQuality -> ModelDataQuality -> Bool #
Read ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods readsPrec :: Int -> ReadS ModelDataQuality # readList :: ReadS [ModelDataQuality] # readPrec :: ReadPrec ModelDataQuality # readListPrec :: ReadPrec [ModelDataQuality] #
Show ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods showsPrec :: Int -> ModelDataQuality -> ShowS # show :: ModelDataQuality -> String # showList :: [ModelDataQuality] -> ShowS #
Generic ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Associated Types type Rep ModelDataQuality :: Type -> Type # Methods from :: ModelDataQuality -> Rep ModelDataQuality x # to :: Rep ModelDataQuality x -> ModelDataQuality #
NFData ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods rnf :: ModelDataQuality -> () #
Hashable ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods hashWithSalt :: Int -> ModelDataQuality -> Int # hash :: ModelDataQuality -> Int #
ToJSON ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods toJSON :: ModelDataQuality -> Value # toEncoding :: ModelDataQuality -> Encoding # toJSONList :: [ModelDataQuality] -> Value # toEncodingList :: [ModelDataQuality] -> Encoding #
FromJSON ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality Methods parseJSON :: Value -> Parser ModelDataQuality # parseJSONList :: Value -> Parser [ModelDataQuality] #
type Rep ModelDataQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDataQuality type Rep ModelDataQuality = D1 ('MetaData "ModelDataQuality" "Amazonka.SageMaker.Types.ModelDataQuality" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelDataQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "statistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newModelDataQuality :: ModelDataQuality Source #

Create a value of ModelDataQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraints:ModelDataQuality', modelDataQuality_constraints - Data quality constraints for a model.

$sel:statistics:ModelDataQuality', modelDataQuality_statistics - Data quality statistics for a model.

modelDataQuality_constraints :: Lens' ModelDataQuality (Maybe MetricsSource) Source #

Data quality constraints for a model.

modelDataQuality_statistics :: Lens' ModelDataQuality (Maybe MetricsSource) Source #

Data quality statistics for a model.

ModelDeployConfig

data ModelDeployConfig Source #

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.

See: newModelDeployConfig smart constructor.

Constructors

ModelDeployConfig'

Fields

endpointName :: Maybe Text
Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.
Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.
autoGenerateEndpointName :: Maybe Bool
Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.
If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.

Instances

Instances details

Eq ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods (==) :: ModelDeployConfig -> ModelDeployConfig -> Bool # (/=) :: ModelDeployConfig -> ModelDeployConfig -> Bool #
Read ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods readsPrec :: Int -> ReadS ModelDeployConfig # readList :: ReadS [ModelDeployConfig] # readPrec :: ReadPrec ModelDeployConfig # readListPrec :: ReadPrec [ModelDeployConfig] #
Show ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods showsPrec :: Int -> ModelDeployConfig -> ShowS # show :: ModelDeployConfig -> String # showList :: [ModelDeployConfig] -> ShowS #
Generic ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Associated Types type Rep ModelDeployConfig :: Type -> Type # Methods from :: ModelDeployConfig -> Rep ModelDeployConfig x # to :: Rep ModelDeployConfig x -> ModelDeployConfig #
NFData ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods rnf :: ModelDeployConfig -> () #
Hashable ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods hashWithSalt :: Int -> ModelDeployConfig -> Int # hash :: ModelDeployConfig -> Int #
ToJSON ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods toJSON :: ModelDeployConfig -> Value # toEncoding :: ModelDeployConfig -> Encoding # toJSONList :: [ModelDeployConfig] -> Value # toEncodingList :: [ModelDeployConfig] -> Encoding #
FromJSON ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig Methods parseJSON :: Value -> Parser ModelDeployConfig # parseJSONList :: Value -> Parser [ModelDeployConfig] #
type Rep ModelDeployConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployConfig type Rep ModelDeployConfig = D1 ('MetaData "ModelDeployConfig" "Amazonka.SageMaker.Types.ModelDeployConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelDeployConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "autoGenerateEndpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newModelDeployConfig :: ModelDeployConfig Source #

Create a value of ModelDeployConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:ModelDeployConfig', modelDeployConfig_endpointName - Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.

Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.

$sel:autoGenerateEndpointName:ModelDeployConfig', modelDeployConfig_autoGenerateEndpointName - Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.

If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.

modelDeployConfig_endpointName :: Lens' ModelDeployConfig (Maybe Text) Source #

Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.

Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.

modelDeployConfig_autoGenerateEndpointName :: Lens' ModelDeployConfig (Maybe Bool) Source #

Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.

If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.

ModelDeployResult

data ModelDeployResult Source #

Provides information about the endpoint of the model deployment.

See: newModelDeployResult smart constructor.

Constructors

ModelDeployResult'
Fields endpointName :: Maybe Text The name of the endpoint to which the model has been deployed. If model deployment fails, this field is omitted from the response.

Instances

Instances details

Eq ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Methods (==) :: ModelDeployResult -> ModelDeployResult -> Bool # (/=) :: ModelDeployResult -> ModelDeployResult -> Bool #
Read ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Methods readsPrec :: Int -> ReadS ModelDeployResult # readList :: ReadS [ModelDeployResult] # readPrec :: ReadPrec ModelDeployResult # readListPrec :: ReadPrec [ModelDeployResult] #
Show ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Methods showsPrec :: Int -> ModelDeployResult -> ShowS # show :: ModelDeployResult -> String # showList :: [ModelDeployResult] -> ShowS #
Generic ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Associated Types type Rep ModelDeployResult :: Type -> Type # Methods from :: ModelDeployResult -> Rep ModelDeployResult x # to :: Rep ModelDeployResult x -> ModelDeployResult #
NFData ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Methods rnf :: ModelDeployResult -> () #
Hashable ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Methods hashWithSalt :: Int -> ModelDeployResult -> Int # hash :: ModelDeployResult -> Int #
FromJSON ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult Methods parseJSON :: Value -> Parser ModelDeployResult # parseJSONList :: Value -> Parser [ModelDeployResult] #
type Rep ModelDeployResult Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDeployResult type Rep ModelDeployResult = D1 ('MetaData "ModelDeployResult" "Amazonka.SageMaker.Types.ModelDeployResult" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelDeployResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelDeployResult :: ModelDeployResult Source #

Create a value of ModelDeployResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:ModelDeployResult', modelDeployResult_endpointName - The name of the endpoint to which the model has been deployed.

If model deployment fails, this field is omitted from the response.

modelDeployResult_endpointName :: Lens' ModelDeployResult (Maybe Text) Source #

The name of the endpoint to which the model has been deployed.

If model deployment fails, this field is omitted from the response.

ModelDigests

data ModelDigests Source #

Provides information to verify the integrity of stored model artifacts.

See: newModelDigests smart constructor.

Constructors

ModelDigests'
Fields artifactDigest :: Maybe Text Provides a hash value that uniquely identifies the stored model artifacts.

Instances

Instances details

Eq ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Methods (==) :: ModelDigests -> ModelDigests -> Bool # (/=) :: ModelDigests -> ModelDigests -> Bool #
Read ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Methods readsPrec :: Int -> ReadS ModelDigests # readList :: ReadS [ModelDigests] # readPrec :: ReadPrec ModelDigests # readListPrec :: ReadPrec [ModelDigests] #
Show ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Methods showsPrec :: Int -> ModelDigests -> ShowS # show :: ModelDigests -> String # showList :: [ModelDigests] -> ShowS #
Generic ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Associated Types type Rep ModelDigests :: Type -> Type # Methods from :: ModelDigests -> Rep ModelDigests x # to :: Rep ModelDigests x -> ModelDigests #
NFData ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Methods rnf :: ModelDigests -> () #
Hashable ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Methods hashWithSalt :: Int -> ModelDigests -> Int # hash :: ModelDigests -> Int #
FromJSON ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests Methods parseJSON :: Value -> Parser ModelDigests # parseJSONList :: Value -> Parser [ModelDigests] #
type Rep ModelDigests Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelDigests type Rep ModelDigests = D1 ('MetaData "ModelDigests" "Amazonka.SageMaker.Types.ModelDigests" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelDigests'" 'PrefixI 'True) (S1 ('MetaSel ('Just "artifactDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelDigests :: ModelDigests Source #

Create a value of ModelDigests with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:artifactDigest:ModelDigests', modelDigests_artifactDigest - Provides a hash value that uniquely identifies the stored model artifacts.

modelDigests_artifactDigest :: Lens' ModelDigests (Maybe Text) Source #

Provides a hash value that uniquely identifies the stored model artifacts.

ModelExplainabilityAppSpecification

data ModelExplainabilityAppSpecification Source #

Docker container image configuration object for the model explainability job.

See: newModelExplainabilityAppSpecification smart constructor.

Constructors

ModelExplainabilityAppSpecification'
Fields environment :: Maybe (HashMap Text Text) Sets the environment variables in the Docker container. imageUri :: Text The container image to be run by the model explainability job. configUri :: Text JSON formatted S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.

Instances

Instances details

Eq ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods (==) :: ModelExplainabilityAppSpecification -> ModelExplainabilityAppSpecification -> Bool # (/=) :: ModelExplainabilityAppSpecification -> ModelExplainabilityAppSpecification -> Bool #
Read ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods readsPrec :: Int -> ReadS ModelExplainabilityAppSpecification # readList :: ReadS [ModelExplainabilityAppSpecification] # readPrec :: ReadPrec ModelExplainabilityAppSpecification # readListPrec :: ReadPrec [ModelExplainabilityAppSpecification] #
Show ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods showsPrec :: Int -> ModelExplainabilityAppSpecification -> ShowS # show :: ModelExplainabilityAppSpecification -> String # showList :: [ModelExplainabilityAppSpecification] -> ShowS #
Generic ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Associated Types type Rep ModelExplainabilityAppSpecification :: Type -> Type # Methods from :: ModelExplainabilityAppSpecification -> Rep ModelExplainabilityAppSpecification x # to :: Rep ModelExplainabilityAppSpecification x -> ModelExplainabilityAppSpecification #
NFData ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods rnf :: ModelExplainabilityAppSpecification -> () #
Hashable ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods hashWithSalt :: Int -> ModelExplainabilityAppSpecification -> Int # hash :: ModelExplainabilityAppSpecification -> Int #
ToJSON ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods toJSON :: ModelExplainabilityAppSpecification -> Value # toEncoding :: ModelExplainabilityAppSpecification -> Encoding # toJSONList :: [ModelExplainabilityAppSpecification] -> Value # toEncodingList :: [ModelExplainabilityAppSpecification] -> Encoding #
FromJSON ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification Methods parseJSON :: Value -> Parser ModelExplainabilityAppSpecification # parseJSONList :: Value -> Parser [ModelExplainabilityAppSpecification] #
type Rep ModelExplainabilityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification type Rep ModelExplainabilityAppSpecification = D1 ('MetaData "ModelExplainabilityAppSpecification" "Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelExplainabilityAppSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "configUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newModelExplainabilityAppSpecification Source #

Arguments

:: Text	`$sel:imageUri:ModelExplainabilityAppSpecification'`
-> Text	`$sel:configUri:ModelExplainabilityAppSpecification'`
-> ModelExplainabilityAppSpecification

Create a value of ModelExplainabilityAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:ModelExplainabilityAppSpecification', modelExplainabilityAppSpecification_environment - Sets the environment variables in the Docker container.

$sel:imageUri:ModelExplainabilityAppSpecification', modelExplainabilityAppSpecification_imageUri - The container image to be run by the model explainability job.

$sel:configUri:ModelExplainabilityAppSpecification', modelExplainabilityAppSpecification_configUri - JSON formatted S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.

modelExplainabilityAppSpecification_environment :: Lens' ModelExplainabilityAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

modelExplainabilityAppSpecification_imageUri :: Lens' ModelExplainabilityAppSpecification Text Source #

The container image to be run by the model explainability job.

modelExplainabilityAppSpecification_configUri :: Lens' ModelExplainabilityAppSpecification Text Source #

JSON formatted S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.

ModelExplainabilityBaselineConfig

data ModelExplainabilityBaselineConfig Source #

The configuration for a baseline model explainability job.

See: newModelExplainabilityBaselineConfig smart constructor.

Constructors

ModelExplainabilityBaselineConfig'
Fields constraintsResource :: Maybe MonitoringConstraintsResource baseliningJobName :: Maybe Text The name of the baseline model explainability job.

Instances

Instances details

Eq ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods (==) :: ModelExplainabilityBaselineConfig -> ModelExplainabilityBaselineConfig -> Bool # (/=) :: ModelExplainabilityBaselineConfig -> ModelExplainabilityBaselineConfig -> Bool #
Read ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods readsPrec :: Int -> ReadS ModelExplainabilityBaselineConfig # readList :: ReadS [ModelExplainabilityBaselineConfig] # readPrec :: ReadPrec ModelExplainabilityBaselineConfig # readListPrec :: ReadPrec [ModelExplainabilityBaselineConfig] #
Show ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods showsPrec :: Int -> ModelExplainabilityBaselineConfig -> ShowS # show :: ModelExplainabilityBaselineConfig -> String # showList :: [ModelExplainabilityBaselineConfig] -> ShowS #
Generic ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Associated Types type Rep ModelExplainabilityBaselineConfig :: Type -> Type # Methods from :: ModelExplainabilityBaselineConfig -> Rep ModelExplainabilityBaselineConfig x # to :: Rep ModelExplainabilityBaselineConfig x -> ModelExplainabilityBaselineConfig #
NFData ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods rnf :: ModelExplainabilityBaselineConfig -> () #
Hashable ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods hashWithSalt :: Int -> ModelExplainabilityBaselineConfig -> Int # hash :: ModelExplainabilityBaselineConfig -> Int #
ToJSON ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods toJSON :: ModelExplainabilityBaselineConfig -> Value # toEncoding :: ModelExplainabilityBaselineConfig -> Encoding # toJSONList :: [ModelExplainabilityBaselineConfig] -> Value # toEncodingList :: [ModelExplainabilityBaselineConfig] -> Encoding #
FromJSON ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig Methods parseJSON :: Value -> Parser ModelExplainabilityBaselineConfig # parseJSONList :: Value -> Parser [ModelExplainabilityBaselineConfig] #
type Rep ModelExplainabilityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig type Rep ModelExplainabilityBaselineConfig = D1 ('MetaData "ModelExplainabilityBaselineConfig" "Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelExplainabilityBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :*: S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelExplainabilityBaselineConfig :: ModelExplainabilityBaselineConfig Source #

Create a value of ModelExplainabilityBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraintsResource:ModelExplainabilityBaselineConfig', modelExplainabilityBaselineConfig_constraintsResource - Undocumented member.

$sel:baseliningJobName:ModelExplainabilityBaselineConfig', modelExplainabilityBaselineConfig_baseliningJobName - The name of the baseline model explainability job.

modelExplainabilityBaselineConfig_constraintsResource :: Lens' ModelExplainabilityBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

modelExplainabilityBaselineConfig_baseliningJobName :: Lens' ModelExplainabilityBaselineConfig (Maybe Text) Source #

The name of the baseline model explainability job.

ModelExplainabilityJobInput

data ModelExplainabilityJobInput Source #

Inputs for the model explainability job.

See: newModelExplainabilityJobInput smart constructor.

Constructors

ModelExplainabilityJobInput'
Fields endpointInput :: EndpointInput

Instances

Instances details

Eq ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods (==) :: ModelExplainabilityJobInput -> ModelExplainabilityJobInput -> Bool # (/=) :: ModelExplainabilityJobInput -> ModelExplainabilityJobInput -> Bool #
Read ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods readsPrec :: Int -> ReadS ModelExplainabilityJobInput # readList :: ReadS [ModelExplainabilityJobInput] # readPrec :: ReadPrec ModelExplainabilityJobInput # readListPrec :: ReadPrec [ModelExplainabilityJobInput] #
Show ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods showsPrec :: Int -> ModelExplainabilityJobInput -> ShowS # show :: ModelExplainabilityJobInput -> String # showList :: [ModelExplainabilityJobInput] -> ShowS #
Generic ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Associated Types type Rep ModelExplainabilityJobInput :: Type -> Type # Methods from :: ModelExplainabilityJobInput -> Rep ModelExplainabilityJobInput x # to :: Rep ModelExplainabilityJobInput x -> ModelExplainabilityJobInput #
NFData ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods rnf :: ModelExplainabilityJobInput -> () #
Hashable ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods hashWithSalt :: Int -> ModelExplainabilityJobInput -> Int # hash :: ModelExplainabilityJobInput -> Int #
ToJSON ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods toJSON :: ModelExplainabilityJobInput -> Value # toEncoding :: ModelExplainabilityJobInput -> Encoding # toJSONList :: [ModelExplainabilityJobInput] -> Value # toEncodingList :: [ModelExplainabilityJobInput] -> Encoding #
FromJSON ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput Methods parseJSON :: Value -> Parser ModelExplainabilityJobInput # parseJSONList :: Value -> Parser [ModelExplainabilityJobInput] #
type Rep ModelExplainabilityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput type Rep ModelExplainabilityJobInput = D1 ('MetaData "ModelExplainabilityJobInput" "Amazonka.SageMaker.Types.ModelExplainabilityJobInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelExplainabilityJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointInput)))

newModelExplainabilityJobInput Source #

Arguments

:: EndpointInput	`$sel:endpointInput:ModelExplainabilityJobInput'`
-> ModelExplainabilityJobInput

Create a value of ModelExplainabilityJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointInput:ModelExplainabilityJobInput', modelExplainabilityJobInput_endpointInput - Undocumented member.

modelExplainabilityJobInput_endpointInput :: Lens' ModelExplainabilityJobInput EndpointInput Source #

Undocumented member.

ModelMetrics

data ModelMetrics Source #

Contains metrics captured from a model.

See: newModelMetrics smart constructor.

Constructors

ModelMetrics'
Fields bias :: Maybe Bias Metrics that measure bais in a model. modelDataQuality :: Maybe ModelDataQuality Metrics that measure the quality of the input data for a model. modelQuality :: Maybe ModelQuality Metrics that measure the quality of a model. explainability :: Maybe Explainability Metrics that help explain a model.

Instances

Instances details

Eq ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods (==) :: ModelMetrics -> ModelMetrics -> Bool # (/=) :: ModelMetrics -> ModelMetrics -> Bool #
Read ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods readsPrec :: Int -> ReadS ModelMetrics # readList :: ReadS [ModelMetrics] # readPrec :: ReadPrec ModelMetrics # readListPrec :: ReadPrec [ModelMetrics] #
Show ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods showsPrec :: Int -> ModelMetrics -> ShowS # show :: ModelMetrics -> String # showList :: [ModelMetrics] -> ShowS #
Generic ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Associated Types type Rep ModelMetrics :: Type -> Type # Methods from :: ModelMetrics -> Rep ModelMetrics x # to :: Rep ModelMetrics x -> ModelMetrics #
NFData ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods rnf :: ModelMetrics -> () #
Hashable ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods hashWithSalt :: Int -> ModelMetrics -> Int # hash :: ModelMetrics -> Int #
ToJSON ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods toJSON :: ModelMetrics -> Value # toEncoding :: ModelMetrics -> Encoding # toJSONList :: [ModelMetrics] -> Value # toEncodingList :: [ModelMetrics] -> Encoding #
FromJSON ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics Methods parseJSON :: Value -> Parser ModelMetrics # parseJSONList :: Value -> Parser [ModelMetrics] #
type Rep ModelMetrics Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelMetrics type Rep ModelMetrics = D1 ('MetaData "ModelMetrics" "Amazonka.SageMaker.Types.ModelMetrics" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelMetrics'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "bias") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bias)) :: S1 ('MetaSel ('Just "modelDataQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDataQuality))) :: (S1 ('MetaSel ('Just "modelQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelQuality)) :*: S1 ('MetaSel ('Just "explainability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Explainability)))))

newModelMetrics :: ModelMetrics Source #

Create a value of ModelMetrics with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bias:ModelMetrics', modelMetrics_bias - Metrics that measure bais in a model.

$sel:modelDataQuality:ModelMetrics', modelMetrics_modelDataQuality - Metrics that measure the quality of the input data for a model.

$sel:modelQuality:ModelMetrics', modelMetrics_modelQuality - Metrics that measure the quality of a model.

$sel:explainability:ModelMetrics', modelMetrics_explainability - Metrics that help explain a model.

modelMetrics_bias :: Lens' ModelMetrics (Maybe Bias) Source #

Metrics that measure bais in a model.

modelMetrics_modelDataQuality :: Lens' ModelMetrics (Maybe ModelDataQuality) Source #

Metrics that measure the quality of the input data for a model.

modelMetrics_modelQuality :: Lens' ModelMetrics (Maybe ModelQuality) Source #

Metrics that measure the quality of a model.

modelMetrics_explainability :: Lens' ModelMetrics (Maybe Explainability) Source #

Metrics that help explain a model.

ModelPackage

data ModelPackage Source #

A versioned model that can be deployed for SageMaker inference.

See: newModelPackage smart constructor.

Constructors

ModelPackage'

Fields

creationTime :: Maybe POSIX
The time that the model package was created.
metadataProperties :: Maybe MetadataProperties
modelApprovalStatus :: Maybe ModelApprovalStatus
The approval status of the model. This can be one of the following values.
- APPROVED - The model is approved
- REJECTED - The model is rejected.
- PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.
sourceAlgorithmSpecification :: Maybe SourceAlgorithmSpecification
modelPackageName :: Maybe Text
The name of the model.
modelPackageArn :: Maybe Text
The Amazon Resource Name (ARN) of the model package.
modelMetrics :: Maybe ModelMetrics
Metrics for the model.
modelPackageDescription :: Maybe Text
The description of the model package.
createdBy :: Maybe UserContext
lastModifiedTime :: Maybe POSIX
The last time the model package was modified.
validationSpecification :: Maybe ModelPackageValidationSpecification
inferenceSpecification :: Maybe InferenceSpecification
approvalDescription :: Maybe Text
A description provided when the model approval is set.
modelPackageVersion :: Maybe Natural
The version number of a versioned model.
certifyForMarketplace :: Maybe Bool
Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.
modelPackageGroupName :: Maybe Text
The model group to which the model belongs.
lastModifiedBy :: Maybe UserContext
modelPackageStatusDetails :: Maybe ModelPackageStatusDetails
tags :: Maybe [Tag]
A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.
modelPackageStatus :: Maybe ModelPackageStatus
The status of the model package. This can be one of the following values.
- PENDING - The model package is pending being created.
- IN_PROGRESS - The model package is in the process of being created.
- COMPLETED - The model package was successfully created.
- FAILED - The model package failed.
- DELETING - The model package is in the process of being deleted.

Instances

Instances details

Eq ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Methods (==) :: ModelPackage -> ModelPackage -> Bool # (/=) :: ModelPackage -> ModelPackage -> Bool #
Read ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Methods readsPrec :: Int -> ReadS ModelPackage # readList :: ReadS [ModelPackage] # readPrec :: ReadPrec ModelPackage # readListPrec :: ReadPrec [ModelPackage] #
Show ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Methods showsPrec :: Int -> ModelPackage -> ShowS # show :: ModelPackage -> String # showList :: [ModelPackage] -> ShowS #
Generic ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Associated Types type Rep ModelPackage :: Type -> Type # Methods from :: ModelPackage -> Rep ModelPackage x # to :: Rep ModelPackage x -> ModelPackage #
NFData ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Methods rnf :: ModelPackage -> () #
Hashable ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Methods hashWithSalt :: Int -> ModelPackage -> Int # hash :: ModelPackage -> Int #
FromJSON ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage Methods parseJSON :: Value -> Parser ModelPackage # parseJSONList :: Value -> Parser [ModelPackage] #
type Rep ModelPackage Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackage type Rep ModelPackage = D1 ('MetaData "ModelPackage" "Amazonka.SageMaker.Types.ModelPackage" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackage'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "metadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetadataProperties))) :: (S1 ('MetaSel ('Just "modelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelApprovalStatus)) :: (S1 ('MetaSel ('Just "sourceAlgorithmSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SourceAlgorithmSpecification)) :: S1 ('MetaSel ('Just "modelPackageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "modelPackageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "modelMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelMetrics))) :: (S1 ('MetaSel ('Just "modelPackageDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))) :: (((S1 ('MetaSel ('Just "validationSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageValidationSpecification)) :: S1 ('MetaSel ('Just "inferenceSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferenceSpecification))) :: (S1 ('MetaSel ('Just "approvalDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "modelPackageVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "certifyForMarketplace") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))) :: ((S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))) :: (S1 ('MetaSel ('Just "modelPackageStatusDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageStatusDetails)) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "modelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageStatus))))))))

newModelPackage :: ModelPackage Source #

Create a value of ModelPackage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ModelPackage', modelPackage_creationTime - The time that the model package was created.

$sel:metadataProperties:ModelPackage', modelPackage_metadataProperties - Undocumented member.

$sel:modelApprovalStatus:ModelPackage', modelPackage_modelApprovalStatus - The approval status of the model. This can be one of the following values.

APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

$sel:sourceAlgorithmSpecification:ModelPackage', modelPackage_sourceAlgorithmSpecification - Undocumented member.

$sel:modelPackageName:ModelPackage', modelPackage_modelPackageName - The name of the model.

$sel:modelPackageArn:ModelPackage', modelPackage_modelPackageArn - The Amazon Resource Name (ARN) of the model package.

$sel:modelMetrics:ModelPackage', modelPackage_modelMetrics - Metrics for the model.

$sel:modelPackageDescription:ModelPackage', modelPackage_modelPackageDescription - The description of the model package.

$sel:createdBy:ModelPackage', modelPackage_createdBy - Undocumented member.

$sel:lastModifiedTime:ModelPackage', modelPackage_lastModifiedTime - The last time the model package was modified.

$sel:validationSpecification:ModelPackage', modelPackage_validationSpecification - Undocumented member.

$sel:inferenceSpecification:ModelPackage', modelPackage_inferenceSpecification - Undocumented member.

$sel:approvalDescription:ModelPackage', modelPackage_approvalDescription - A description provided when the model approval is set.

$sel:modelPackageVersion:ModelPackage', modelPackage_modelPackageVersion - The version number of a versioned model.

$sel:certifyForMarketplace:ModelPackage', modelPackage_certifyForMarketplace - Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.

$sel:modelPackageGroupName:ModelPackage', modelPackage_modelPackageGroupName - The model group to which the model belongs.

$sel:lastModifiedBy:ModelPackage', modelPackage_lastModifiedBy - Undocumented member.

$sel:modelPackageStatusDetails:ModelPackage', modelPackage_modelPackageStatusDetails - Undocumented member.

$sel:tags:ModelPackage', modelPackage_tags - A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

$sel:modelPackageStatus:ModelPackage', modelPackage_modelPackageStatus - The status of the model package. This can be one of the following values.

PENDING - The model package is pending being created.
IN_PROGRESS - The model package is in the process of being created.
COMPLETED - The model package was successfully created.
FAILED - The model package failed.
DELETING - The model package is in the process of being deleted.

modelPackage_creationTime :: Lens' ModelPackage (Maybe UTCTime) Source #

The time that the model package was created.

modelPackage_metadataProperties :: Lens' ModelPackage (Maybe MetadataProperties) Source #

Undocumented member.

modelPackage_modelApprovalStatus :: Lens' ModelPackage (Maybe ModelApprovalStatus) Source #

The approval status of the model. This can be one of the following values.

APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

modelPackage_sourceAlgorithmSpecification :: Lens' ModelPackage (Maybe SourceAlgorithmSpecification) Source #

Undocumented member.

modelPackage_modelPackageName :: Lens' ModelPackage (Maybe Text) Source #

The name of the model.

modelPackage_modelPackageArn :: Lens' ModelPackage (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model package.

modelPackage_modelMetrics :: Lens' ModelPackage (Maybe ModelMetrics) Source #

Metrics for the model.

modelPackage_modelPackageDescription :: Lens' ModelPackage (Maybe Text) Source #

The description of the model package.

modelPackage_createdBy :: Lens' ModelPackage (Maybe UserContext) Source #

Undocumented member.

modelPackage_lastModifiedTime :: Lens' ModelPackage (Maybe UTCTime) Source #

The last time the model package was modified.

modelPackage_validationSpecification :: Lens' ModelPackage (Maybe ModelPackageValidationSpecification) Source #

Undocumented member.

modelPackage_inferenceSpecification :: Lens' ModelPackage (Maybe InferenceSpecification) Source #

Undocumented member.

modelPackage_approvalDescription :: Lens' ModelPackage (Maybe Text) Source #

A description provided when the model approval is set.

modelPackage_modelPackageVersion :: Lens' ModelPackage (Maybe Natural) Source #

The version number of a versioned model.

modelPackage_certifyForMarketplace :: Lens' ModelPackage (Maybe Bool) Source #

Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.

modelPackage_modelPackageGroupName :: Lens' ModelPackage (Maybe Text) Source #

The model group to which the model belongs.

modelPackage_lastModifiedBy :: Lens' ModelPackage (Maybe UserContext) Source #

Undocumented member.

modelPackage_modelPackageStatusDetails :: Lens' ModelPackage (Maybe ModelPackageStatusDetails) Source #

Undocumented member.

modelPackage_tags :: Lens' ModelPackage (Maybe [Tag]) Source #

A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

modelPackage_modelPackageStatus :: Lens' ModelPackage (Maybe ModelPackageStatus) Source #

The status of the model package. This can be one of the following values.

PENDING - The model package is pending being created.
IN_PROGRESS - The model package is in the process of being created.
COMPLETED - The model package was successfully created.
FAILED - The model package failed.
DELETING - The model package is in the process of being deleted.

ModelPackageContainerDefinition

data ModelPackageContainerDefinition Source #

Describes the Docker container for the model package.

See: newModelPackageContainerDefinition smart constructor.

Constructors

ModelPackageContainerDefinition'

Fields

modelDataUrl :: Maybe Text
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The model artifacts must be in an S3 bucket that is in the same region as the model package.
environment :: Maybe (HashMap Text Text)
The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.
imageDigest :: Maybe Text
An MD5 hash of the training algorithm that identifies the Docker image used for training.
containerHostname :: Maybe Text
The DNS host name for the Docker container.
productId :: Maybe Text
The Amazon Web Services Marketplace product ID of the model package.
image :: Text
The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

Instances

Instances details

Eq ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods (==) :: ModelPackageContainerDefinition -> ModelPackageContainerDefinition -> Bool # (/=) :: ModelPackageContainerDefinition -> ModelPackageContainerDefinition -> Bool #
Read ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods readsPrec :: Int -> ReadS ModelPackageContainerDefinition # readList :: ReadS [ModelPackageContainerDefinition] # readPrec :: ReadPrec ModelPackageContainerDefinition # readListPrec :: ReadPrec [ModelPackageContainerDefinition] #
Show ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods showsPrec :: Int -> ModelPackageContainerDefinition -> ShowS # show :: ModelPackageContainerDefinition -> String # showList :: [ModelPackageContainerDefinition] -> ShowS #
Generic ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Associated Types type Rep ModelPackageContainerDefinition :: Type -> Type # Methods from :: ModelPackageContainerDefinition -> Rep ModelPackageContainerDefinition x # to :: Rep ModelPackageContainerDefinition x -> ModelPackageContainerDefinition #
NFData ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods rnf :: ModelPackageContainerDefinition -> () #
Hashable ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods hashWithSalt :: Int -> ModelPackageContainerDefinition -> Int # hash :: ModelPackageContainerDefinition -> Int #
ToJSON ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods toJSON :: ModelPackageContainerDefinition -> Value # toEncoding :: ModelPackageContainerDefinition -> Encoding # toJSONList :: [ModelPackageContainerDefinition] -> Value # toEncodingList :: [ModelPackageContainerDefinition] -> Encoding #
FromJSON ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition Methods parseJSON :: Value -> Parser ModelPackageContainerDefinition # parseJSONList :: Value -> Parser [ModelPackageContainerDefinition] #
type Rep ModelPackageContainerDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition type Rep ModelPackageContainerDefinition = D1 ('MetaData "ModelPackageContainerDefinition" "Amazonka.SageMaker.Types.ModelPackageContainerDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageContainerDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "imageDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "containerHostname") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "productId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newModelPackageContainerDefinition Source #

Arguments

:: Text	`$sel:image:ModelPackageContainerDefinition'`
-> ModelPackageContainerDefinition

Create a value of ModelPackageContainerDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelDataUrl:ModelPackageContainerDefinition', modelPackageContainerDefinition_modelDataUrl - The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the model package.

$sel:environment:ModelPackageContainerDefinition', modelPackageContainerDefinition_environment - The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

$sel:imageDigest:ModelPackageContainerDefinition', modelPackageContainerDefinition_imageDigest - An MD5 hash of the training algorithm that identifies the Docker image used for training.

$sel:containerHostname:ModelPackageContainerDefinition', modelPackageContainerDefinition_containerHostname - The DNS host name for the Docker container.

$sel:productId:ModelPackageContainerDefinition', modelPackageContainerDefinition_productId - The Amazon Web Services Marketplace product ID of the model package.

$sel:image:ModelPackageContainerDefinition', modelPackageContainerDefinition_image - The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.

If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

modelPackageContainerDefinition_modelDataUrl :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the model package.

modelPackageContainerDefinition_environment :: Lens' ModelPackageContainerDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

modelPackageContainerDefinition_imageDigest :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

An MD5 hash of the training algorithm that identifies the Docker image used for training.

modelPackageContainerDefinition_containerHostname :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The DNS host name for the Docker container.

modelPackageContainerDefinition_productId :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The Amazon Web Services Marketplace product ID of the model package.

modelPackageContainerDefinition_image :: Lens' ModelPackageContainerDefinition Text Source #

The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.

If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

ModelPackageGroup

data ModelPackageGroup Source #

A group of versioned models in the model registry.

See: newModelPackageGroup smart constructor.

Constructors

ModelPackageGroup'

Fields

creationTime :: Maybe POSIX
The time that the model group was created.
modelPackageGroupDescription :: Maybe Text
The description for the model group.
modelPackageGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the model group.
createdBy :: Maybe UserContext
modelPackageGroupName :: Maybe Text
The name of the model group.
modelPackageGroupStatus :: Maybe ModelPackageGroupStatus
The status of the model group. This can be one of the following values.
- PENDING - The model group is pending being created.
- IN_PROGRESS - The model group is in the process of being created.
- COMPLETED - The model group was successfully created.
- FAILED - The model group failed.
- DELETING - The model group is in the process of being deleted.
- DELETE_FAILED - SageMaker failed to delete the model group.
tags :: Maybe [Tag]
A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

Instances

Instances details

Eq ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Methods (==) :: ModelPackageGroup -> ModelPackageGroup -> Bool # (/=) :: ModelPackageGroup -> ModelPackageGroup -> Bool #
Read ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Methods readsPrec :: Int -> ReadS ModelPackageGroup # readList :: ReadS [ModelPackageGroup] # readPrec :: ReadPrec ModelPackageGroup # readListPrec :: ReadPrec [ModelPackageGroup] #
Show ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Methods showsPrec :: Int -> ModelPackageGroup -> ShowS # show :: ModelPackageGroup -> String # showList :: [ModelPackageGroup] -> ShowS #
Generic ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Associated Types type Rep ModelPackageGroup :: Type -> Type # Methods from :: ModelPackageGroup -> Rep ModelPackageGroup x # to :: Rep ModelPackageGroup x -> ModelPackageGroup #
NFData ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Methods rnf :: ModelPackageGroup -> () #
Hashable ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Methods hashWithSalt :: Int -> ModelPackageGroup -> Int # hash :: ModelPackageGroup -> Int #
FromJSON ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup Methods parseJSON :: Value -> Parser ModelPackageGroup # parseJSONList :: Value -> Parser [ModelPackageGroup] #
type Rep ModelPackageGroup Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroup type Rep ModelPackageGroup = D1 ('MetaData "ModelPackageGroup" "Amazonka.SageMaker.Types.ModelPackageGroup" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageGroup'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "modelPackageGroupDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "modelPackageGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "modelPackageGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageGroupStatus)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))))))

newModelPackageGroup :: ModelPackageGroup Source #

Create a value of ModelPackageGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ModelPackageGroup', modelPackageGroup_creationTime - The time that the model group was created.

$sel:modelPackageGroupDescription:ModelPackageGroup', modelPackageGroup_modelPackageGroupDescription - The description for the model group.

$sel:modelPackageGroupArn:ModelPackageGroup', modelPackageGroup_modelPackageGroupArn - The Amazon Resource Name (ARN) of the model group.

$sel:createdBy:ModelPackageGroup', modelPackageGroup_createdBy - Undocumented member.

$sel:modelPackageGroupName:ModelPackageGroup', modelPackageGroup_modelPackageGroupName - The name of the model group.

$sel:modelPackageGroupStatus:ModelPackageGroup', modelPackageGroup_modelPackageGroupStatus - The status of the model group. This can be one of the following values.

PENDING - The model group is pending being created.
IN_PROGRESS - The model group is in the process of being created.
COMPLETED - The model group was successfully created.
FAILED - The model group failed.
DELETING - The model group is in the process of being deleted.
DELETE_FAILED - SageMaker failed to delete the model group.

$sel:tags:ModelPackageGroup', modelPackageGroup_tags - A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

modelPackageGroup_creationTime :: Lens' ModelPackageGroup (Maybe UTCTime) Source #

The time that the model group was created.

modelPackageGroup_modelPackageGroupDescription :: Lens' ModelPackageGroup (Maybe Text) Source #

The description for the model group.

modelPackageGroup_modelPackageGroupArn :: Lens' ModelPackageGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model group.

modelPackageGroup_createdBy :: Lens' ModelPackageGroup (Maybe UserContext) Source #

Undocumented member.

modelPackageGroup_modelPackageGroupName :: Lens' ModelPackageGroup (Maybe Text) Source #

The name of the model group.

modelPackageGroup_modelPackageGroupStatus :: Lens' ModelPackageGroup (Maybe ModelPackageGroupStatus) Source #

The status of the model group. This can be one of the following values.

PENDING - The model group is pending being created.
IN_PROGRESS - The model group is in the process of being created.
COMPLETED - The model group was successfully created.
FAILED - The model group failed.
DELETING - The model group is in the process of being deleted.
DELETE_FAILED - SageMaker failed to delete the model group.

modelPackageGroup_tags :: Lens' ModelPackageGroup (Maybe [Tag]) Source #

A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

ModelPackageGroupSummary

data ModelPackageGroupSummary Source #

Summary information about a model group.

See: newModelPackageGroupSummary smart constructor.

Constructors

ModelPackageGroupSummary'
Fields modelPackageGroupDescription :: Maybe Text A description of the model group. modelPackageGroupName :: Text The name of the model group. modelPackageGroupArn :: Text The Amazon Resource Name (ARN) of the model group. creationTime :: POSIX The time that the model group was created. modelPackageGroupStatus :: ModelPackageGroupStatus The status of the model group.

Instances

Instances details

Eq ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Methods (==) :: ModelPackageGroupSummary -> ModelPackageGroupSummary -> Bool # (/=) :: ModelPackageGroupSummary -> ModelPackageGroupSummary -> Bool #
Read ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Methods readsPrec :: Int -> ReadS ModelPackageGroupSummary # readList :: ReadS [ModelPackageGroupSummary] # readPrec :: ReadPrec ModelPackageGroupSummary # readListPrec :: ReadPrec [ModelPackageGroupSummary] #
Show ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Methods showsPrec :: Int -> ModelPackageGroupSummary -> ShowS # show :: ModelPackageGroupSummary -> String # showList :: [ModelPackageGroupSummary] -> ShowS #
Generic ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Associated Types type Rep ModelPackageGroupSummary :: Type -> Type # Methods from :: ModelPackageGroupSummary -> Rep ModelPackageGroupSummary x # to :: Rep ModelPackageGroupSummary x -> ModelPackageGroupSummary #
NFData ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Methods rnf :: ModelPackageGroupSummary -> () #
Hashable ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Methods hashWithSalt :: Int -> ModelPackageGroupSummary -> Int # hash :: ModelPackageGroupSummary -> Int #
FromJSON ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary Methods parseJSON :: Value -> Parser ModelPackageGroupSummary # parseJSONList :: Value -> Parser [ModelPackageGroupSummary] #
type Rep ModelPackageGroupSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary type Rep ModelPackageGroupSummary = D1 ('MetaData "ModelPackageGroupSummary" "Amazonka.SageMaker.Types.ModelPackageGroupSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelPackageGroupDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "modelPackageGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "modelPackageGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelPackageGroupStatus)))))

newModelPackageGroupSummary Source #

Arguments

:: Text	`$sel:modelPackageGroupName:ModelPackageGroupSummary'`
-> Text	`$sel:modelPackageGroupArn:ModelPackageGroupSummary'`
-> UTCTime	`$sel:creationTime:ModelPackageGroupSummary'`
-> ModelPackageGroupStatus	`$sel:modelPackageGroupStatus:ModelPackageGroupSummary'`
-> ModelPackageGroupSummary

Create a value of ModelPackageGroupSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelPackageGroupDescription:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupDescription - A description of the model group.

$sel:modelPackageGroupName:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupName - The name of the model group.

$sel:modelPackageGroupArn:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupArn - The Amazon Resource Name (ARN) of the model group.

$sel:creationTime:ModelPackageGroupSummary', modelPackageGroupSummary_creationTime - The time that the model group was created.

$sel:modelPackageGroupStatus:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupStatus - The status of the model group.

modelPackageGroupSummary_modelPackageGroupDescription :: Lens' ModelPackageGroupSummary (Maybe Text) Source #

A description of the model group.

modelPackageGroupSummary_modelPackageGroupName :: Lens' ModelPackageGroupSummary Text Source #

The name of the model group.

modelPackageGroupSummary_modelPackageGroupArn :: Lens' ModelPackageGroupSummary Text Source #

The Amazon Resource Name (ARN) of the model group.

modelPackageGroupSummary_creationTime :: Lens' ModelPackageGroupSummary UTCTime Source #

The time that the model group was created.

modelPackageGroupSummary_modelPackageGroupStatus :: Lens' ModelPackageGroupSummary ModelPackageGroupStatus Source #

The status of the model group.

ModelPackageStatusDetails

data ModelPackageStatusDetails Source #

Specifies the validation and image scan statuses of the model package.

See: newModelPackageStatusDetails smart constructor.

Constructors

ModelPackageStatusDetails'
Fields imageScanStatuses :: Maybe [ModelPackageStatusItem] The status of the scan of the Docker image container for the model package. validationStatuses :: [ModelPackageStatusItem] The validation status of the model package.

Instances

Instances details

Eq ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Methods (==) :: ModelPackageStatusDetails -> ModelPackageStatusDetails -> Bool # (/=) :: ModelPackageStatusDetails -> ModelPackageStatusDetails -> Bool #
Read ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Methods readsPrec :: Int -> ReadS ModelPackageStatusDetails # readList :: ReadS [ModelPackageStatusDetails] # readPrec :: ReadPrec ModelPackageStatusDetails # readListPrec :: ReadPrec [ModelPackageStatusDetails] #
Show ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Methods showsPrec :: Int -> ModelPackageStatusDetails -> ShowS # show :: ModelPackageStatusDetails -> String # showList :: [ModelPackageStatusDetails] -> ShowS #
Generic ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Associated Types type Rep ModelPackageStatusDetails :: Type -> Type # Methods from :: ModelPackageStatusDetails -> Rep ModelPackageStatusDetails x # to :: Rep ModelPackageStatusDetails x -> ModelPackageStatusDetails #
NFData ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Methods rnf :: ModelPackageStatusDetails -> () #
Hashable ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Methods hashWithSalt :: Int -> ModelPackageStatusDetails -> Int # hash :: ModelPackageStatusDetails -> Int #
FromJSON ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails Methods parseJSON :: Value -> Parser ModelPackageStatusDetails # parseJSONList :: Value -> Parser [ModelPackageStatusDetails] #
type Rep ModelPackageStatusDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails type Rep ModelPackageStatusDetails = D1 ('MetaData "ModelPackageStatusDetails" "Amazonka.SageMaker.Types.ModelPackageStatusDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageStatusDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "imageScanStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ModelPackageStatusItem])) :*: S1 ('MetaSel ('Just "validationStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ModelPackageStatusItem])))

newModelPackageStatusDetails :: ModelPackageStatusDetails Source #

Create a value of ModelPackageStatusDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:imageScanStatuses:ModelPackageStatusDetails', modelPackageStatusDetails_imageScanStatuses - The status of the scan of the Docker image container for the model package.

$sel:validationStatuses:ModelPackageStatusDetails', modelPackageStatusDetails_validationStatuses - The validation status of the model package.

modelPackageStatusDetails_imageScanStatuses :: Lens' ModelPackageStatusDetails (Maybe [ModelPackageStatusItem]) Source #

The status of the scan of the Docker image container for the model package.

modelPackageStatusDetails_validationStatuses :: Lens' ModelPackageStatusDetails [ModelPackageStatusItem] Source #

The validation status of the model package.

ModelPackageStatusItem

data ModelPackageStatusItem Source #

Represents the overall status of a model package.

See: newModelPackageStatusItem smart constructor.

Constructors

ModelPackageStatusItem'
Fields failureReason :: Maybe Text if the overall status is `Failed`, the reason for the failure. name :: Text The name of the model package for which the overall status is being reported. status :: DetailedModelPackageStatus The current status.

Instances

Instances details

Eq ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Methods (==) :: ModelPackageStatusItem -> ModelPackageStatusItem -> Bool # (/=) :: ModelPackageStatusItem -> ModelPackageStatusItem -> Bool #
Read ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Methods readsPrec :: Int -> ReadS ModelPackageStatusItem # readList :: ReadS [ModelPackageStatusItem] # readPrec :: ReadPrec ModelPackageStatusItem # readListPrec :: ReadPrec [ModelPackageStatusItem] #
Show ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Methods showsPrec :: Int -> ModelPackageStatusItem -> ShowS # show :: ModelPackageStatusItem -> String # showList :: [ModelPackageStatusItem] -> ShowS #
Generic ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Associated Types type Rep ModelPackageStatusItem :: Type -> Type # Methods from :: ModelPackageStatusItem -> Rep ModelPackageStatusItem x # to :: Rep ModelPackageStatusItem x -> ModelPackageStatusItem #
NFData ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Methods rnf :: ModelPackageStatusItem -> () #
Hashable ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Methods hashWithSalt :: Int -> ModelPackageStatusItem -> Int # hash :: ModelPackageStatusItem -> Int #
FromJSON ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem Methods parseJSON :: Value -> Parser ModelPackageStatusItem # parseJSONList :: Value -> Parser [ModelPackageStatusItem] #
type Rep ModelPackageStatusItem Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem type Rep ModelPackageStatusItem = D1 ('MetaData "ModelPackageStatusItem" "Amazonka.SageMaker.Types.ModelPackageStatusItem" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageStatusItem'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DetailedModelPackageStatus))))

newModelPackageStatusItem Source #

Arguments

:: Text	`$sel:name:ModelPackageStatusItem'`
-> DetailedModelPackageStatus	`$sel:status:ModelPackageStatusItem'`
-> ModelPackageStatusItem

Create a value of ModelPackageStatusItem with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:ModelPackageStatusItem', modelPackageStatusItem_failureReason - if the overall status is Failed, the reason for the failure.

$sel:name:ModelPackageStatusItem', modelPackageStatusItem_name - The name of the model package for which the overall status is being reported.

$sel:status:ModelPackageStatusItem', modelPackageStatusItem_status - The current status.

modelPackageStatusItem_failureReason :: Lens' ModelPackageStatusItem (Maybe Text) Source #

if the overall status is Failed, the reason for the failure.

modelPackageStatusItem_name :: Lens' ModelPackageStatusItem Text Source #

The name of the model package for which the overall status is being reported.

modelPackageStatusItem_status :: Lens' ModelPackageStatusItem DetailedModelPackageStatus Source #

The current status.

ModelPackageSummary

data ModelPackageSummary Source #

Provides summary information about a model package.

See: newModelPackageSummary smart constructor.

Constructors

ModelPackageSummary'

Fields

modelApprovalStatus :: Maybe ModelApprovalStatus
The approval status of the model. This can be one of the following values.
- APPROVED - The model is approved
- REJECTED - The model is rejected.
- PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.
modelPackageDescription :: Maybe Text
A brief description of the model package.
modelPackageVersion :: Maybe Natural
If the model package is a versioned model, the version of the model.
modelPackageGroupName :: Maybe Text
If the model package is a versioned model, the model group that the versioned model belongs to.
modelPackageName :: Text
The name of the model package.
modelPackageArn :: Text
The Amazon Resource Name (ARN) of the model package.
creationTime :: POSIX
A timestamp that shows when the model package was created.
modelPackageStatus :: ModelPackageStatus
The overall status of the model package.

Instances

Instances details

Eq ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Methods (==) :: ModelPackageSummary -> ModelPackageSummary -> Bool # (/=) :: ModelPackageSummary -> ModelPackageSummary -> Bool #
Read ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Methods readsPrec :: Int -> ReadS ModelPackageSummary # readList :: ReadS [ModelPackageSummary] # readPrec :: ReadPrec ModelPackageSummary # readListPrec :: ReadPrec [ModelPackageSummary] #
Show ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Methods showsPrec :: Int -> ModelPackageSummary -> ShowS # show :: ModelPackageSummary -> String # showList :: [ModelPackageSummary] -> ShowS #
Generic ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Associated Types type Rep ModelPackageSummary :: Type -> Type # Methods from :: ModelPackageSummary -> Rep ModelPackageSummary x # to :: Rep ModelPackageSummary x -> ModelPackageSummary #
NFData ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Methods rnf :: ModelPackageSummary -> () #
Hashable ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Methods hashWithSalt :: Int -> ModelPackageSummary -> Int # hash :: ModelPackageSummary -> Int #
FromJSON ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary Methods parseJSON :: Value -> Parser ModelPackageSummary # parseJSONList :: Value -> Parser [ModelPackageSummary] #
type Rep ModelPackageSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageSummary type Rep ModelPackageSummary = D1 ('MetaData "ModelPackageSummary" "Amazonka.SageMaker.Types.ModelPackageSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "modelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelApprovalStatus)) :: S1 ('MetaSel ('Just "modelPackageDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "modelPackageVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "modelPackageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "modelPackageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "modelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelPackageStatus)))))

newModelPackageSummary Source #

Arguments

:: Text	`$sel:modelPackageName:ModelPackageSummary'`
-> Text	`$sel:modelPackageArn:ModelPackageSummary'`
-> UTCTime	`$sel:creationTime:ModelPackageSummary'`
-> ModelPackageStatus	`$sel:modelPackageStatus:ModelPackageSummary'`
-> ModelPackageSummary

Create a value of ModelPackageSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelApprovalStatus:ModelPackageSummary', modelPackageSummary_modelApprovalStatus - The approval status of the model. This can be one of the following values.

APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

$sel:modelPackageDescription:ModelPackageSummary', modelPackageSummary_modelPackageDescription - A brief description of the model package.

$sel:modelPackageVersion:ModelPackageSummary', modelPackageSummary_modelPackageVersion - If the model package is a versioned model, the version of the model.

$sel:modelPackageGroupName:ModelPackageSummary', modelPackageSummary_modelPackageGroupName - If the model package is a versioned model, the model group that the versioned model belongs to.

$sel:modelPackageName:ModelPackageSummary', modelPackageSummary_modelPackageName - The name of the model package.

$sel:modelPackageArn:ModelPackageSummary', modelPackageSummary_modelPackageArn - The Amazon Resource Name (ARN) of the model package.

$sel:creationTime:ModelPackageSummary', modelPackageSummary_creationTime - A timestamp that shows when the model package was created.

$sel:modelPackageStatus:ModelPackageSummary', modelPackageSummary_modelPackageStatus - The overall status of the model package.

modelPackageSummary_modelApprovalStatus :: Lens' ModelPackageSummary (Maybe ModelApprovalStatus) Source #

The approval status of the model. This can be one of the following values.

APPROVED - The model is approved
REJECTED - The model is rejected.
PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

modelPackageSummary_modelPackageDescription :: Lens' ModelPackageSummary (Maybe Text) Source #

A brief description of the model package.

modelPackageSummary_modelPackageVersion :: Lens' ModelPackageSummary (Maybe Natural) Source #

If the model package is a versioned model, the version of the model.

modelPackageSummary_modelPackageGroupName :: Lens' ModelPackageSummary (Maybe Text) Source #

If the model package is a versioned model, the model group that the versioned model belongs to.

modelPackageSummary_modelPackageName :: Lens' ModelPackageSummary Text Source #

The name of the model package.

modelPackageSummary_modelPackageArn :: Lens' ModelPackageSummary Text Source #

The Amazon Resource Name (ARN) of the model package.

modelPackageSummary_creationTime :: Lens' ModelPackageSummary UTCTime Source #

A timestamp that shows when the model package was created.

modelPackageSummary_modelPackageStatus :: Lens' ModelPackageSummary ModelPackageStatus Source #

The overall status of the model package.

ModelPackageValidationProfile

data ModelPackageValidationProfile Source #

Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.

The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.

See: newModelPackageValidationProfile smart constructor.

Constructors

ModelPackageValidationProfile'
Fields profileName :: Text The name of the profile for the model package. transformJobDefinition :: TransformJobDefinition The `TransformJobDefinition` object that describes the transform job used for the validation of the model package.

Instances

Instances details

Eq ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods (==) :: ModelPackageValidationProfile -> ModelPackageValidationProfile -> Bool # (/=) :: ModelPackageValidationProfile -> ModelPackageValidationProfile -> Bool #
Read ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods readsPrec :: Int -> ReadS ModelPackageValidationProfile # readList :: ReadS [ModelPackageValidationProfile] # readPrec :: ReadPrec ModelPackageValidationProfile # readListPrec :: ReadPrec [ModelPackageValidationProfile] #
Show ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods showsPrec :: Int -> ModelPackageValidationProfile -> ShowS # show :: ModelPackageValidationProfile -> String # showList :: [ModelPackageValidationProfile] -> ShowS #
Generic ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Associated Types type Rep ModelPackageValidationProfile :: Type -> Type # Methods from :: ModelPackageValidationProfile -> Rep ModelPackageValidationProfile x # to :: Rep ModelPackageValidationProfile x -> ModelPackageValidationProfile #
NFData ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods rnf :: ModelPackageValidationProfile -> () #
Hashable ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods hashWithSalt :: Int -> ModelPackageValidationProfile -> Int # hash :: ModelPackageValidationProfile -> Int #
ToJSON ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods toJSON :: ModelPackageValidationProfile -> Value # toEncoding :: ModelPackageValidationProfile -> Encoding # toJSONList :: [ModelPackageValidationProfile] -> Value # toEncodingList :: [ModelPackageValidationProfile] -> Encoding #
FromJSON ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile Methods parseJSON :: Value -> Parser ModelPackageValidationProfile # parseJSONList :: Value -> Parser [ModelPackageValidationProfile] #
type Rep ModelPackageValidationProfile Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile type Rep ModelPackageValidationProfile = D1 ('MetaData "ModelPackageValidationProfile" "Amazonka.SageMaker.Types.ModelPackageValidationProfile" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageValidationProfile'" 'PrefixI 'True) (S1 ('MetaSel ('Just "profileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "transformJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformJobDefinition)))

newModelPackageValidationProfile Source #

Arguments

:: Text	`$sel:profileName:ModelPackageValidationProfile'`
-> TransformJobDefinition	`$sel:transformJobDefinition:ModelPackageValidationProfile'`
-> ModelPackageValidationProfile

Create a value of ModelPackageValidationProfile with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:profileName:ModelPackageValidationProfile', modelPackageValidationProfile_profileName - The name of the profile for the model package.

$sel:transformJobDefinition:ModelPackageValidationProfile', modelPackageValidationProfile_transformJobDefinition - The TransformJobDefinition object that describes the transform job used for the validation of the model package.

modelPackageValidationProfile_profileName :: Lens' ModelPackageValidationProfile Text Source #

The name of the profile for the model package.

modelPackageValidationProfile_transformJobDefinition :: Lens' ModelPackageValidationProfile TransformJobDefinition Source #

The TransformJobDefinition object that describes the transform job used for the validation of the model package.

ModelPackageValidationSpecification

data ModelPackageValidationSpecification Source #

Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.

See: newModelPackageValidationSpecification smart constructor.

Constructors

ModelPackageValidationSpecification'
Fields validationRole :: Text The IAM roles to be used for the validation of the model package. validationProfiles :: NonEmpty ModelPackageValidationProfile An array of `ModelPackageValidationProfile` objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package.

Instances

Instances details

Eq ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods (==) :: ModelPackageValidationSpecification -> ModelPackageValidationSpecification -> Bool # (/=) :: ModelPackageValidationSpecification -> ModelPackageValidationSpecification -> Bool #
Read ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods readsPrec :: Int -> ReadS ModelPackageValidationSpecification # readList :: ReadS [ModelPackageValidationSpecification] # readPrec :: ReadPrec ModelPackageValidationSpecification # readListPrec :: ReadPrec [ModelPackageValidationSpecification] #
Show ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods showsPrec :: Int -> ModelPackageValidationSpecification -> ShowS # show :: ModelPackageValidationSpecification -> String # showList :: [ModelPackageValidationSpecification] -> ShowS #
Generic ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Associated Types type Rep ModelPackageValidationSpecification :: Type -> Type # Methods from :: ModelPackageValidationSpecification -> Rep ModelPackageValidationSpecification x # to :: Rep ModelPackageValidationSpecification x -> ModelPackageValidationSpecification #
NFData ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods rnf :: ModelPackageValidationSpecification -> () #
Hashable ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods hashWithSalt :: Int -> ModelPackageValidationSpecification -> Int # hash :: ModelPackageValidationSpecification -> Int #
ToJSON ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods toJSON :: ModelPackageValidationSpecification -> Value # toEncoding :: ModelPackageValidationSpecification -> Encoding # toJSONList :: [ModelPackageValidationSpecification] -> Value # toEncodingList :: [ModelPackageValidationSpecification] -> Encoding #
FromJSON ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification Methods parseJSON :: Value -> Parser ModelPackageValidationSpecification # parseJSONList :: Value -> Parser [ModelPackageValidationSpecification] #
type Rep ModelPackageValidationSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification type Rep ModelPackageValidationSpecification = D1 ('MetaData "ModelPackageValidationSpecification" "Amazonka.SageMaker.Types.ModelPackageValidationSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelPackageValidationSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "validationRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "validationProfiles") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ModelPackageValidationProfile))))

newModelPackageValidationSpecification Source #

Arguments

:: Text	`$sel:validationRole:ModelPackageValidationSpecification'`
-> NonEmpty ModelPackageValidationProfile	`$sel:validationProfiles:ModelPackageValidationSpecification'`
-> ModelPackageValidationSpecification

Create a value of ModelPackageValidationSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:validationRole:ModelPackageValidationSpecification', modelPackageValidationSpecification_validationRole - The IAM roles to be used for the validation of the model package.

$sel:validationProfiles:ModelPackageValidationSpecification', modelPackageValidationSpecification_validationProfiles - An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package.

modelPackageValidationSpecification_validationRole :: Lens' ModelPackageValidationSpecification Text Source #

The IAM roles to be used for the validation of the model package.

modelPackageValidationSpecification_validationProfiles :: Lens' ModelPackageValidationSpecification (NonEmpty ModelPackageValidationProfile) Source #

An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package.

ModelQuality

data ModelQuality Source #

Model quality statistics and constraints.

See: newModelQuality smart constructor.

Constructors

ModelQuality'
Fields constraints :: Maybe MetricsSource Model quality constraints. statistics :: Maybe MetricsSource Model quality statistics.

Instances

Instances details

Eq ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods (==) :: ModelQuality -> ModelQuality -> Bool # (/=) :: ModelQuality -> ModelQuality -> Bool #
Read ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods readsPrec :: Int -> ReadS ModelQuality # readList :: ReadS [ModelQuality] # readPrec :: ReadPrec ModelQuality # readListPrec :: ReadPrec [ModelQuality] #
Show ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods showsPrec :: Int -> ModelQuality -> ShowS # show :: ModelQuality -> String # showList :: [ModelQuality] -> ShowS #
Generic ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Associated Types type Rep ModelQuality :: Type -> Type # Methods from :: ModelQuality -> Rep ModelQuality x # to :: Rep ModelQuality x -> ModelQuality #
NFData ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods rnf :: ModelQuality -> () #
Hashable ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods hashWithSalt :: Int -> ModelQuality -> Int # hash :: ModelQuality -> Int #
ToJSON ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods toJSON :: ModelQuality -> Value # toEncoding :: ModelQuality -> Encoding # toJSONList :: [ModelQuality] -> Value # toEncodingList :: [ModelQuality] -> Encoding #
FromJSON ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality Methods parseJSON :: Value -> Parser ModelQuality # parseJSONList :: Value -> Parser [ModelQuality] #
type Rep ModelQuality Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQuality type Rep ModelQuality = D1 ('MetaData "ModelQuality" "Amazonka.SageMaker.Types.ModelQuality" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "statistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newModelQuality :: ModelQuality Source #

Create a value of ModelQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraints:ModelQuality', modelQuality_constraints - Model quality constraints.

$sel:statistics:ModelQuality', modelQuality_statistics - Model quality statistics.

modelQuality_constraints :: Lens' ModelQuality (Maybe MetricsSource) Source #

Model quality constraints.

modelQuality_statistics :: Lens' ModelQuality (Maybe MetricsSource) Source #

Model quality statistics.

ModelQualityAppSpecification

data ModelQualityAppSpecification Source #

Container image configuration object for the monitoring job.

See: newModelQualityAppSpecification smart constructor.

Constructors

ModelQualityAppSpecification'

Fields

containerArguments :: Maybe (NonEmpty Text)
An array of arguments for the container used to run the monitoring job.
recordPreprocessorSourceUri :: Maybe Text
An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
environment :: Maybe (HashMap Text Text)
Sets the environment variables in the container that the monitoring job runs.
problemType :: Maybe MonitoringProblemType
The machine learning problem type of the model that the monitoring job monitors.
containerEntrypoint :: Maybe (NonEmpty Text)
Specifies the entrypoint for a container that the monitoring job runs.
postAnalyticsProcessorSourceUri :: Maybe Text
An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
imageUri :: Text
The address of the container image that the monitoring job runs.

Instances

Instances details

Eq ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods (==) :: ModelQualityAppSpecification -> ModelQualityAppSpecification -> Bool # (/=) :: ModelQualityAppSpecification -> ModelQualityAppSpecification -> Bool #
Read ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods readsPrec :: Int -> ReadS ModelQualityAppSpecification # readList :: ReadS [ModelQualityAppSpecification] # readPrec :: ReadPrec ModelQualityAppSpecification # readListPrec :: ReadPrec [ModelQualityAppSpecification] #
Show ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods showsPrec :: Int -> ModelQualityAppSpecification -> ShowS # show :: ModelQualityAppSpecification -> String # showList :: [ModelQualityAppSpecification] -> ShowS #
Generic ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Associated Types type Rep ModelQualityAppSpecification :: Type -> Type # Methods from :: ModelQualityAppSpecification -> Rep ModelQualityAppSpecification x # to :: Rep ModelQualityAppSpecification x -> ModelQualityAppSpecification #
NFData ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods rnf :: ModelQualityAppSpecification -> () #
Hashable ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods hashWithSalt :: Int -> ModelQualityAppSpecification -> Int # hash :: ModelQualityAppSpecification -> Int #
ToJSON ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods toJSON :: ModelQualityAppSpecification -> Value # toEncoding :: ModelQualityAppSpecification -> Encoding # toJSONList :: [ModelQualityAppSpecification] -> Value # toEncodingList :: [ModelQualityAppSpecification] -> Encoding #
FromJSON ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification Methods parseJSON :: Value -> Parser ModelQualityAppSpecification # parseJSONList :: Value -> Parser [ModelQualityAppSpecification] #
type Rep ModelQualityAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification type Rep ModelQualityAppSpecification = D1 ('MetaData "ModelQualityAppSpecification" "Amazonka.SageMaker.Types.ModelQualityAppSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelQualityAppSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "recordPreprocessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :: ((S1 ('MetaSel ('Just "problemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringProblemType)) :: S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :: (S1 ('MetaSel ('Just "postAnalyticsProcessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newModelQualityAppSpecification Source #

Arguments

:: Text	`$sel:imageUri:ModelQualityAppSpecification'`
-> ModelQualityAppSpecification

Create a value of ModelQualityAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:ModelQualityAppSpecification', modelQualityAppSpecification_containerArguments - An array of arguments for the container used to run the monitoring job.

$sel:recordPreprocessorSourceUri:ModelQualityAppSpecification', modelQualityAppSpecification_recordPreprocessorSourceUri - An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

$sel:environment:ModelQualityAppSpecification', modelQualityAppSpecification_environment - Sets the environment variables in the container that the monitoring job runs.

$sel:problemType:ModelQualityAppSpecification', modelQualityAppSpecification_problemType - The machine learning problem type of the model that the monitoring job monitors.

$sel:containerEntrypoint:ModelQualityAppSpecification', modelQualityAppSpecification_containerEntrypoint - Specifies the entrypoint for a container that the monitoring job runs.

$sel:postAnalyticsProcessorSourceUri:ModelQualityAppSpecification', modelQualityAppSpecification_postAnalyticsProcessorSourceUri - An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

$sel:imageUri:ModelQualityAppSpecification', modelQualityAppSpecification_imageUri - The address of the container image that the monitoring job runs.

modelQualityAppSpecification_containerArguments :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text)) Source #

An array of arguments for the container used to run the monitoring job.

modelQualityAppSpecification_recordPreprocessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

modelQualityAppSpecification_environment :: Lens' ModelQualityAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the container that the monitoring job runs.

modelQualityAppSpecification_problemType :: Lens' ModelQualityAppSpecification (Maybe MonitoringProblemType) Source #

The machine learning problem type of the model that the monitoring job monitors.

modelQualityAppSpecification_containerEntrypoint :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text)) Source #

Specifies the entrypoint for a container that the monitoring job runs.

modelQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

modelQualityAppSpecification_imageUri :: Lens' ModelQualityAppSpecification Text Source #

The address of the container image that the monitoring job runs.

ModelQualityBaselineConfig

data ModelQualityBaselineConfig Source #

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

See: newModelQualityBaselineConfig smart constructor.

Constructors

ModelQualityBaselineConfig'
Fields constraintsResource :: Maybe MonitoringConstraintsResource baseliningJobName :: Maybe Text The name of the job that performs baselining for the monitoring job.

Instances

Instances details

Eq ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods (==) :: ModelQualityBaselineConfig -> ModelQualityBaselineConfig -> Bool # (/=) :: ModelQualityBaselineConfig -> ModelQualityBaselineConfig -> Bool #
Read ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods readsPrec :: Int -> ReadS ModelQualityBaselineConfig # readList :: ReadS [ModelQualityBaselineConfig] # readPrec :: ReadPrec ModelQualityBaselineConfig # readListPrec :: ReadPrec [ModelQualityBaselineConfig] #
Show ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods showsPrec :: Int -> ModelQualityBaselineConfig -> ShowS # show :: ModelQualityBaselineConfig -> String # showList :: [ModelQualityBaselineConfig] -> ShowS #
Generic ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Associated Types type Rep ModelQualityBaselineConfig :: Type -> Type # Methods from :: ModelQualityBaselineConfig -> Rep ModelQualityBaselineConfig x # to :: Rep ModelQualityBaselineConfig x -> ModelQualityBaselineConfig #
NFData ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods rnf :: ModelQualityBaselineConfig -> () #
Hashable ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods hashWithSalt :: Int -> ModelQualityBaselineConfig -> Int # hash :: ModelQualityBaselineConfig -> Int #
ToJSON ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods toJSON :: ModelQualityBaselineConfig -> Value # toEncoding :: ModelQualityBaselineConfig -> Encoding # toJSONList :: [ModelQualityBaselineConfig] -> Value # toEncodingList :: [ModelQualityBaselineConfig] -> Encoding #
FromJSON ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig Methods parseJSON :: Value -> Parser ModelQualityBaselineConfig # parseJSONList :: Value -> Parser [ModelQualityBaselineConfig] #
type Rep ModelQualityBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig type Rep ModelQualityBaselineConfig = D1 ('MetaData "ModelQualityBaselineConfig" "Amazonka.SageMaker.Types.ModelQualityBaselineConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelQualityBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :*: S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelQualityBaselineConfig :: ModelQualityBaselineConfig Source #

Create a value of ModelQualityBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraintsResource:ModelQualityBaselineConfig', modelQualityBaselineConfig_constraintsResource - Undocumented member.

$sel:baseliningJobName:ModelQualityBaselineConfig', modelQualityBaselineConfig_baseliningJobName - The name of the job that performs baselining for the monitoring job.

modelQualityBaselineConfig_constraintsResource :: Lens' ModelQualityBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

modelQualityBaselineConfig_baseliningJobName :: Lens' ModelQualityBaselineConfig (Maybe Text) Source #

The name of the job that performs baselining for the monitoring job.

ModelQualityJobInput

data ModelQualityJobInput Source #

The input for the model quality monitoring job. Currently endponts are supported for input for model quality monitoring jobs.

See: newModelQualityJobInput smart constructor.

Constructors

ModelQualityJobInput'
Fields endpointInput :: EndpointInput groundTruthS3Input :: MonitoringGroundTruthS3Input The ground truth label provided for the model.

Instances

Instances details

Eq ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods (==) :: ModelQualityJobInput -> ModelQualityJobInput -> Bool # (/=) :: ModelQualityJobInput -> ModelQualityJobInput -> Bool #
Read ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods readsPrec :: Int -> ReadS ModelQualityJobInput # readList :: ReadS [ModelQualityJobInput] # readPrec :: ReadPrec ModelQualityJobInput # readListPrec :: ReadPrec [ModelQualityJobInput] #
Show ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods showsPrec :: Int -> ModelQualityJobInput -> ShowS # show :: ModelQualityJobInput -> String # showList :: [ModelQualityJobInput] -> ShowS #
Generic ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Associated Types type Rep ModelQualityJobInput :: Type -> Type # Methods from :: ModelQualityJobInput -> Rep ModelQualityJobInput x # to :: Rep ModelQualityJobInput x -> ModelQualityJobInput #
NFData ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods rnf :: ModelQualityJobInput -> () #
Hashable ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods hashWithSalt :: Int -> ModelQualityJobInput -> Int # hash :: ModelQualityJobInput -> Int #
ToJSON ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods toJSON :: ModelQualityJobInput -> Value # toEncoding :: ModelQualityJobInput -> Encoding # toJSONList :: [ModelQualityJobInput] -> Value # toEncodingList :: [ModelQualityJobInput] -> Encoding #
FromJSON ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput Methods parseJSON :: Value -> Parser ModelQualityJobInput # parseJSONList :: Value -> Parser [ModelQualityJobInput] #
type Rep ModelQualityJobInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelQualityJobInput type Rep ModelQualityJobInput = D1 ('MetaData "ModelQualityJobInput" "Amazonka.SageMaker.Types.ModelQualityJobInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelQualityJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointInput) :*: S1 ('MetaSel ('Just "groundTruthS3Input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringGroundTruthS3Input)))

newModelQualityJobInput Source #

Arguments

:: EndpointInput	`$sel:endpointInput:ModelQualityJobInput'`
-> MonitoringGroundTruthS3Input	`$sel:groundTruthS3Input:ModelQualityJobInput'`
-> ModelQualityJobInput

Create a value of ModelQualityJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointInput:ModelQualityJobInput', modelQualityJobInput_endpointInput - Undocumented member.

$sel:groundTruthS3Input:ModelQualityJobInput', modelQualityJobInput_groundTruthS3Input - The ground truth label provided for the model.

modelQualityJobInput_endpointInput :: Lens' ModelQualityJobInput EndpointInput Source #

Undocumented member.

modelQualityJobInput_groundTruthS3Input :: Lens' ModelQualityJobInput MonitoringGroundTruthS3Input Source #

The ground truth label provided for the model.

ModelStepMetadata

data ModelStepMetadata Source #

Metadata for Model steps.

See: newModelStepMetadata smart constructor.

Constructors

ModelStepMetadata'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the created model.

Instances

Instances details

Eq ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Methods (==) :: ModelStepMetadata -> ModelStepMetadata -> Bool # (/=) :: ModelStepMetadata -> ModelStepMetadata -> Bool #
Read ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Methods readsPrec :: Int -> ReadS ModelStepMetadata # readList :: ReadS [ModelStepMetadata] # readPrec :: ReadPrec ModelStepMetadata # readListPrec :: ReadPrec [ModelStepMetadata] #
Show ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Methods showsPrec :: Int -> ModelStepMetadata -> ShowS # show :: ModelStepMetadata -> String # showList :: [ModelStepMetadata] -> ShowS #
Generic ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Associated Types type Rep ModelStepMetadata :: Type -> Type # Methods from :: ModelStepMetadata -> Rep ModelStepMetadata x # to :: Rep ModelStepMetadata x -> ModelStepMetadata #
NFData ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Methods rnf :: ModelStepMetadata -> () #
Hashable ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Methods hashWithSalt :: Int -> ModelStepMetadata -> Int # hash :: ModelStepMetadata -> Int #
FromJSON ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata Methods parseJSON :: Value -> Parser ModelStepMetadata # parseJSONList :: Value -> Parser [ModelStepMetadata] #
type Rep ModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelStepMetadata type Rep ModelStepMetadata = D1 ('MetaData "ModelStepMetadata" "Amazonka.SageMaker.Types.ModelStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelStepMetadata :: ModelStepMetadata Source #

Create a value of ModelStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:ModelStepMetadata', modelStepMetadata_arn - The Amazon Resource Name (ARN) of the created model.

modelStepMetadata_arn :: Lens' ModelStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the created model.

ModelSummary

data ModelSummary Source #

Provides summary information about a model.

See: newModelSummary smart constructor.

Constructors

ModelSummary'
Fields modelName :: Text The name of the model that you want a summary for. modelArn :: Text The Amazon Resource Name (ARN) of the model. creationTime :: POSIX A timestamp that indicates when the model was created.

Instances

Instances details

Eq ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Methods (==) :: ModelSummary -> ModelSummary -> Bool # (/=) :: ModelSummary -> ModelSummary -> Bool #
Read ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Methods readsPrec :: Int -> ReadS ModelSummary # readList :: ReadS [ModelSummary] # readPrec :: ReadPrec ModelSummary # readListPrec :: ReadPrec [ModelSummary] #
Show ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Methods showsPrec :: Int -> ModelSummary -> ShowS # show :: ModelSummary -> String # showList :: [ModelSummary] -> ShowS #
Generic ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Associated Types type Rep ModelSummary :: Type -> Type # Methods from :: ModelSummary -> Rep ModelSummary x # to :: Rep ModelSummary x -> ModelSummary #
NFData ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Methods rnf :: ModelSummary -> () #
Hashable ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Methods hashWithSalt :: Int -> ModelSummary -> Int # hash :: ModelSummary -> Int #
FromJSON ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary Methods parseJSON :: Value -> Parser ModelSummary # parseJSONList :: Value -> Parser [ModelSummary] #
type Rep ModelSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ModelSummary type Rep ModelSummary = D1 ('MetaData "ModelSummary" "Amazonka.SageMaker.Types.ModelSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ModelSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newModelSummary Source #

Arguments

:: Text	`$sel:modelName:ModelSummary'`
-> Text	`$sel:modelArn:ModelSummary'`
-> UTCTime	`$sel:creationTime:ModelSummary'`
-> ModelSummary

Create a value of ModelSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:ModelSummary', modelSummary_modelName - The name of the model that you want a summary for.

$sel:modelArn:ModelSummary', modelSummary_modelArn - The Amazon Resource Name (ARN) of the model.

$sel:creationTime:ModelSummary', modelSummary_creationTime - A timestamp that indicates when the model was created.

modelSummary_modelName :: Lens' ModelSummary Text Source #

The name of the model that you want a summary for.

modelSummary_modelArn :: Lens' ModelSummary Text Source #

The Amazon Resource Name (ARN) of the model.

modelSummary_creationTime :: Lens' ModelSummary UTCTime Source #

A timestamp that indicates when the model was created.

MonitoringAppSpecification

data MonitoringAppSpecification Source #

Container image configuration object for the monitoring job.

See: newMonitoringAppSpecification smart constructor.

Constructors

MonitoringAppSpecification'

Fields

containerArguments :: Maybe (NonEmpty Text)
An array of arguments for the container used to run the monitoring job.
recordPreprocessorSourceUri :: Maybe Text
An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
containerEntrypoint :: Maybe (NonEmpty Text)
Specifies the entrypoint for a container used to run the monitoring job.
postAnalyticsProcessorSourceUri :: Maybe Text
An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
imageUri :: Text
The container image to be run by the monitoring job.

Instances

Instances details

Eq MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods (==) :: MonitoringAppSpecification -> MonitoringAppSpecification -> Bool # (/=) :: MonitoringAppSpecification -> MonitoringAppSpecification -> Bool #
Read MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods readsPrec :: Int -> ReadS MonitoringAppSpecification # readList :: ReadS [MonitoringAppSpecification] # readPrec :: ReadPrec MonitoringAppSpecification # readListPrec :: ReadPrec [MonitoringAppSpecification] #
Show MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods showsPrec :: Int -> MonitoringAppSpecification -> ShowS # show :: MonitoringAppSpecification -> String # showList :: [MonitoringAppSpecification] -> ShowS #
Generic MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Associated Types type Rep MonitoringAppSpecification :: Type -> Type # Methods from :: MonitoringAppSpecification -> Rep MonitoringAppSpecification x # to :: Rep MonitoringAppSpecification x -> MonitoringAppSpecification #
NFData MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods rnf :: MonitoringAppSpecification -> () #
Hashable MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods hashWithSalt :: Int -> MonitoringAppSpecification -> Int # hash :: MonitoringAppSpecification -> Int #
ToJSON MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods toJSON :: MonitoringAppSpecification -> Value # toEncoding :: MonitoringAppSpecification -> Encoding # toJSONList :: [MonitoringAppSpecification] -> Value # toEncodingList :: [MonitoringAppSpecification] -> Encoding #
FromJSON MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification Methods parseJSON :: Value -> Parser MonitoringAppSpecification # parseJSONList :: Value -> Parser [MonitoringAppSpecification] #
type Rep MonitoringAppSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification type Rep MonitoringAppSpecification = D1 ('MetaData "MonitoringAppSpecification" "Amazonka.SageMaker.Types.MonitoringAppSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringAppSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: S1 ('MetaSel ('Just "recordPreprocessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :: (S1 ('MetaSel ('Just "postAnalyticsProcessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newMonitoringAppSpecification Source #

Arguments

:: Text	`$sel:imageUri:MonitoringAppSpecification'`
-> MonitoringAppSpecification

Create a value of MonitoringAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:MonitoringAppSpecification', monitoringAppSpecification_containerArguments - An array of arguments for the container used to run the monitoring job.

$sel:recordPreprocessorSourceUri:MonitoringAppSpecification', monitoringAppSpecification_recordPreprocessorSourceUri - An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

$sel:containerEntrypoint:MonitoringAppSpecification', monitoringAppSpecification_containerEntrypoint - Specifies the entrypoint for a container used to run the monitoring job.

$sel:postAnalyticsProcessorSourceUri:MonitoringAppSpecification', monitoringAppSpecification_postAnalyticsProcessorSourceUri - An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

$sel:imageUri:MonitoringAppSpecification', monitoringAppSpecification_imageUri - The container image to be run by the monitoring job.

monitoringAppSpecification_containerArguments :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text)) Source #

An array of arguments for the container used to run the monitoring job.

monitoringAppSpecification_recordPreprocessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

monitoringAppSpecification_containerEntrypoint :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text)) Source #

Specifies the entrypoint for a container used to run the monitoring job.

monitoringAppSpecification_postAnalyticsProcessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

monitoringAppSpecification_imageUri :: Lens' MonitoringAppSpecification Text Source #

The container image to be run by the monitoring job.

MonitoringBaselineConfig

data MonitoringBaselineConfig Source #

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

See: newMonitoringBaselineConfig smart constructor.

Constructors

MonitoringBaselineConfig'

Fields

constraintsResource :: Maybe MonitoringConstraintsResource
The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
statisticsResource :: Maybe MonitoringStatisticsResource
The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
baseliningJobName :: Maybe Text
The name of the job that performs baselining for the monitoring job.

Instances

Instances details

Eq MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods (==) :: MonitoringBaselineConfig -> MonitoringBaselineConfig -> Bool # (/=) :: MonitoringBaselineConfig -> MonitoringBaselineConfig -> Bool #
Read MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods readsPrec :: Int -> ReadS MonitoringBaselineConfig # readList :: ReadS [MonitoringBaselineConfig] # readPrec :: ReadPrec MonitoringBaselineConfig # readListPrec :: ReadPrec [MonitoringBaselineConfig] #
Show MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods showsPrec :: Int -> MonitoringBaselineConfig -> ShowS # show :: MonitoringBaselineConfig -> String # showList :: [MonitoringBaselineConfig] -> ShowS #
Generic MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Associated Types type Rep MonitoringBaselineConfig :: Type -> Type # Methods from :: MonitoringBaselineConfig -> Rep MonitoringBaselineConfig x # to :: Rep MonitoringBaselineConfig x -> MonitoringBaselineConfig #
NFData MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods rnf :: MonitoringBaselineConfig -> () #
Hashable MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods hashWithSalt :: Int -> MonitoringBaselineConfig -> Int # hash :: MonitoringBaselineConfig -> Int #
ToJSON MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods toJSON :: MonitoringBaselineConfig -> Value # toEncoding :: MonitoringBaselineConfig -> Encoding # toJSONList :: [MonitoringBaselineConfig] -> Value # toEncodingList :: [MonitoringBaselineConfig] -> Encoding #
FromJSON MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig Methods parseJSON :: Value -> Parser MonitoringBaselineConfig # parseJSONList :: Value -> Parser [MonitoringBaselineConfig] #
type Rep MonitoringBaselineConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig type Rep MonitoringBaselineConfig = D1 ('MetaData "MonitoringBaselineConfig" "Amazonka.SageMaker.Types.MonitoringBaselineConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :: (S1 ('MetaSel ('Just "statisticsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringStatisticsResource)) :: S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newMonitoringBaselineConfig :: MonitoringBaselineConfig Source #

Create a value of MonitoringBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraintsResource:MonitoringBaselineConfig', monitoringBaselineConfig_constraintsResource - The baseline constraint file in Amazon S3 that the current monitoring job should validated against.

$sel:statisticsResource:MonitoringBaselineConfig', monitoringBaselineConfig_statisticsResource - The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

$sel:baseliningJobName:MonitoringBaselineConfig', monitoringBaselineConfig_baseliningJobName - The name of the job that performs baselining for the monitoring job.

monitoringBaselineConfig_constraintsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringConstraintsResource) Source #

The baseline constraint file in Amazon S3 that the current monitoring job should validated against.

monitoringBaselineConfig_statisticsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringStatisticsResource) Source #

The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

monitoringBaselineConfig_baseliningJobName :: Lens' MonitoringBaselineConfig (Maybe Text) Source #

The name of the job that performs baselining for the monitoring job.

MonitoringClusterConfig

data MonitoringClusterConfig Source #

Configuration for the cluster used to run model monitoring jobs.

See: newMonitoringClusterConfig smart constructor.

Constructors

MonitoringClusterConfig'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
instanceCount :: Natural
The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instanceType :: ProcessingInstanceType
The ML compute instance type for the processing job.
volumeSizeInGB :: Natural
The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

Instances

Instances details

Eq MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods (==) :: MonitoringClusterConfig -> MonitoringClusterConfig -> Bool # (/=) :: MonitoringClusterConfig -> MonitoringClusterConfig -> Bool #
Read MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods readsPrec :: Int -> ReadS MonitoringClusterConfig # readList :: ReadS [MonitoringClusterConfig] # readPrec :: ReadPrec MonitoringClusterConfig # readListPrec :: ReadPrec [MonitoringClusterConfig] #
Show MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods showsPrec :: Int -> MonitoringClusterConfig -> ShowS # show :: MonitoringClusterConfig -> String # showList :: [MonitoringClusterConfig] -> ShowS #
Generic MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Associated Types type Rep MonitoringClusterConfig :: Type -> Type # Methods from :: MonitoringClusterConfig -> Rep MonitoringClusterConfig x # to :: Rep MonitoringClusterConfig x -> MonitoringClusterConfig #
NFData MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods rnf :: MonitoringClusterConfig -> () #
Hashable MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods hashWithSalt :: Int -> MonitoringClusterConfig -> Int # hash :: MonitoringClusterConfig -> Int #
ToJSON MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods toJSON :: MonitoringClusterConfig -> Value # toEncoding :: MonitoringClusterConfig -> Encoding # toJSONList :: [MonitoringClusterConfig] -> Value # toEncodingList :: [MonitoringClusterConfig] -> Encoding #
FromJSON MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig Methods parseJSON :: Value -> Parser MonitoringClusterConfig # parseJSONList :: Value -> Parser [MonitoringClusterConfig] #
type Rep MonitoringClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig type Rep MonitoringClusterConfig = D1 ('MetaData "MonitoringClusterConfig" "Amazonka.SageMaker.Types.MonitoringClusterConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringClusterConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)) :: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingInstanceType) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newMonitoringClusterConfig Source #

Arguments

:: Natural	`$sel:instanceCount:MonitoringClusterConfig'`
-> ProcessingInstanceType	`$sel:instanceType:MonitoringClusterConfig'`
-> Natural	`$sel:volumeSizeInGB:MonitoringClusterConfig'`
-> MonitoringClusterConfig

Create a value of MonitoringClusterConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:MonitoringClusterConfig', monitoringClusterConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

$sel:instanceCount:MonitoringClusterConfig', monitoringClusterConfig_instanceCount - The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

$sel:instanceType:MonitoringClusterConfig', monitoringClusterConfig_instanceType - The ML compute instance type for the processing job.

$sel:volumeSizeInGB:MonitoringClusterConfig', monitoringClusterConfig_volumeSizeInGB - The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

monitoringClusterConfig_volumeKmsKeyId :: Lens' MonitoringClusterConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

monitoringClusterConfig_instanceCount :: Lens' MonitoringClusterConfig Natural Source #

The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

monitoringClusterConfig_instanceType :: Lens' MonitoringClusterConfig ProcessingInstanceType Source #

The ML compute instance type for the processing job.

monitoringClusterConfig_volumeSizeInGB :: Lens' MonitoringClusterConfig Natural Source #

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

MonitoringConstraintsResource

data MonitoringConstraintsResource Source #

The constraints resource for a monitoring job.

See: newMonitoringConstraintsResource smart constructor.

Constructors

MonitoringConstraintsResource'
Fields s3Uri :: Maybe Text The Amazon S3 URI for the constraints resource.

Instances

Instances details

Eq MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods (==) :: MonitoringConstraintsResource -> MonitoringConstraintsResource -> Bool # (/=) :: MonitoringConstraintsResource -> MonitoringConstraintsResource -> Bool #
Read MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods readsPrec :: Int -> ReadS MonitoringConstraintsResource # readList :: ReadS [MonitoringConstraintsResource] # readPrec :: ReadPrec MonitoringConstraintsResource # readListPrec :: ReadPrec [MonitoringConstraintsResource] #
Show MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods showsPrec :: Int -> MonitoringConstraintsResource -> ShowS # show :: MonitoringConstraintsResource -> String # showList :: [MonitoringConstraintsResource] -> ShowS #
Generic MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Associated Types type Rep MonitoringConstraintsResource :: Type -> Type # Methods from :: MonitoringConstraintsResource -> Rep MonitoringConstraintsResource x # to :: Rep MonitoringConstraintsResource x -> MonitoringConstraintsResource #
NFData MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods rnf :: MonitoringConstraintsResource -> () #
Hashable MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods hashWithSalt :: Int -> MonitoringConstraintsResource -> Int # hash :: MonitoringConstraintsResource -> Int #
ToJSON MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods toJSON :: MonitoringConstraintsResource -> Value # toEncoding :: MonitoringConstraintsResource -> Encoding # toJSONList :: [MonitoringConstraintsResource] -> Value # toEncodingList :: [MonitoringConstraintsResource] -> Encoding #
FromJSON MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource Methods parseJSON :: Value -> Parser MonitoringConstraintsResource # parseJSONList :: Value -> Parser [MonitoringConstraintsResource] #
type Rep MonitoringConstraintsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource type Rep MonitoringConstraintsResource = D1 ('MetaData "MonitoringConstraintsResource" "Amazonka.SageMaker.Types.MonitoringConstraintsResource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringConstraintsResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMonitoringConstraintsResource :: MonitoringConstraintsResource Source #

Create a value of MonitoringConstraintsResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:MonitoringConstraintsResource', monitoringConstraintsResource_s3Uri - The Amazon S3 URI for the constraints resource.

monitoringConstraintsResource_s3Uri :: Lens' MonitoringConstraintsResource (Maybe Text) Source #

The Amazon S3 URI for the constraints resource.

MonitoringExecutionSummary

data MonitoringExecutionSummary Source #

Summary of information about the last monitoring job to run.

See: newMonitoringExecutionSummary smart constructor.

Constructors

MonitoringExecutionSummary'

Fields

monitoringType :: Maybe MonitoringType
The type of the monitoring job.
failureReason :: Maybe Text
Contains the reason a monitoring job failed, if it failed.
endpointName :: Maybe Text
The name of the endpoint used to run the monitoring job.
processingJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the monitoring job.
monitoringJobDefinitionName :: Maybe Text
The name of the monitoring job.
monitoringScheduleName :: Text
The name of the monitoring schedule.
scheduledTime :: POSIX
The time the monitoring job was scheduled.
creationTime :: POSIX
The time at which the monitoring job was created.
lastModifiedTime :: POSIX
A timestamp that indicates the last time the monitoring job was modified.
monitoringExecutionStatus :: ExecutionStatus
The status of the monitoring job.

Instances

Instances details

Eq MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Methods (==) :: MonitoringExecutionSummary -> MonitoringExecutionSummary -> Bool # (/=) :: MonitoringExecutionSummary -> MonitoringExecutionSummary -> Bool #
Read MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Methods readsPrec :: Int -> ReadS MonitoringExecutionSummary # readList :: ReadS [MonitoringExecutionSummary] # readPrec :: ReadPrec MonitoringExecutionSummary # readListPrec :: ReadPrec [MonitoringExecutionSummary] #
Show MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Methods showsPrec :: Int -> MonitoringExecutionSummary -> ShowS # show :: MonitoringExecutionSummary -> String # showList :: [MonitoringExecutionSummary] -> ShowS #
Generic MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Associated Types type Rep MonitoringExecutionSummary :: Type -> Type # Methods from :: MonitoringExecutionSummary -> Rep MonitoringExecutionSummary x # to :: Rep MonitoringExecutionSummary x -> MonitoringExecutionSummary #
NFData MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Methods rnf :: MonitoringExecutionSummary -> () #
Hashable MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Methods hashWithSalt :: Int -> MonitoringExecutionSummary -> Int # hash :: MonitoringExecutionSummary -> Int #
FromJSON MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary Methods parseJSON :: Value -> Parser MonitoringExecutionSummary # parseJSONList :: Value -> Parser [MonitoringExecutionSummary] #
type Rep MonitoringExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary type Rep MonitoringExecutionSummary = D1 ('MetaData "MonitoringExecutionSummary" "Amazonka.SageMaker.Types.MonitoringExecutionSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringExecutionSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "processingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "scheduledTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "monitoringExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ExecutionStatus))))))

newMonitoringExecutionSummary Source #

Arguments

:: Text	`$sel:monitoringScheduleName:MonitoringExecutionSummary'`
-> UTCTime	`$sel:scheduledTime:MonitoringExecutionSummary'`
-> UTCTime	`$sel:creationTime:MonitoringExecutionSummary'`
-> UTCTime	`$sel:lastModifiedTime:MonitoringExecutionSummary'`
-> ExecutionStatus	`$sel:monitoringExecutionStatus:MonitoringExecutionSummary'`
-> MonitoringExecutionSummary

Create a value of MonitoringExecutionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringType:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringType - The type of the monitoring job.

$sel:failureReason:MonitoringExecutionSummary', monitoringExecutionSummary_failureReason - Contains the reason a monitoring job failed, if it failed.

$sel:endpointName:MonitoringExecutionSummary', monitoringExecutionSummary_endpointName - The name of the endpoint used to run the monitoring job.

$sel:processingJobArn:MonitoringExecutionSummary', monitoringExecutionSummary_processingJobArn - The Amazon Resource Name (ARN) of the monitoring job.

$sel:monitoringJobDefinitionName:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringJobDefinitionName - The name of the monitoring job.

$sel:monitoringScheduleName:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringScheduleName - The name of the monitoring schedule.

$sel:scheduledTime:MonitoringExecutionSummary', monitoringExecutionSummary_scheduledTime - The time the monitoring job was scheduled.

$sel:creationTime:MonitoringExecutionSummary', monitoringExecutionSummary_creationTime - The time at which the monitoring job was created.

$sel:lastModifiedTime:MonitoringExecutionSummary', monitoringExecutionSummary_lastModifiedTime - A timestamp that indicates the last time the monitoring job was modified.

$sel:monitoringExecutionStatus:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringExecutionStatus - The status of the monitoring job.

monitoringExecutionSummary_monitoringType :: Lens' MonitoringExecutionSummary (Maybe MonitoringType) Source #

The type of the monitoring job.

monitoringExecutionSummary_failureReason :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

Contains the reason a monitoring job failed, if it failed.

monitoringExecutionSummary_endpointName :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

The name of the endpoint used to run the monitoring job.

monitoringExecutionSummary_processingJobArn :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the monitoring job.

monitoringExecutionSummary_monitoringJobDefinitionName :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

The name of the monitoring job.

monitoringExecutionSummary_monitoringScheduleName :: Lens' MonitoringExecutionSummary Text Source #

The name of the monitoring schedule.

monitoringExecutionSummary_scheduledTime :: Lens' MonitoringExecutionSummary UTCTime Source #

The time the monitoring job was scheduled.

monitoringExecutionSummary_creationTime :: Lens' MonitoringExecutionSummary UTCTime Source #

The time at which the monitoring job was created.

monitoringExecutionSummary_lastModifiedTime :: Lens' MonitoringExecutionSummary UTCTime Source #

A timestamp that indicates the last time the monitoring job was modified.

monitoringExecutionSummary_monitoringExecutionStatus :: Lens' MonitoringExecutionSummary ExecutionStatus Source #

The status of the monitoring job.

MonitoringGroundTruthS3Input

data MonitoringGroundTruthS3Input Source #

The ground truth labels for the dataset used for the monitoring job.

See: newMonitoringGroundTruthS3Input smart constructor.

Constructors

MonitoringGroundTruthS3Input'
Fields s3Uri :: Maybe Text The address of the Amazon S3 location of the ground truth labels.

Instances

Instances details

Eq MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods (==) :: MonitoringGroundTruthS3Input -> MonitoringGroundTruthS3Input -> Bool # (/=) :: MonitoringGroundTruthS3Input -> MonitoringGroundTruthS3Input -> Bool #
Read MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods readsPrec :: Int -> ReadS MonitoringGroundTruthS3Input # readList :: ReadS [MonitoringGroundTruthS3Input] # readPrec :: ReadPrec MonitoringGroundTruthS3Input # readListPrec :: ReadPrec [MonitoringGroundTruthS3Input] #
Show MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods showsPrec :: Int -> MonitoringGroundTruthS3Input -> ShowS # show :: MonitoringGroundTruthS3Input -> String # showList :: [MonitoringGroundTruthS3Input] -> ShowS #
Generic MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Associated Types type Rep MonitoringGroundTruthS3Input :: Type -> Type # Methods from :: MonitoringGroundTruthS3Input -> Rep MonitoringGroundTruthS3Input x # to :: Rep MonitoringGroundTruthS3Input x -> MonitoringGroundTruthS3Input #
NFData MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods rnf :: MonitoringGroundTruthS3Input -> () #
Hashable MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods hashWithSalt :: Int -> MonitoringGroundTruthS3Input -> Int # hash :: MonitoringGroundTruthS3Input -> Int #
ToJSON MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods toJSON :: MonitoringGroundTruthS3Input -> Value # toEncoding :: MonitoringGroundTruthS3Input -> Encoding # toJSONList :: [MonitoringGroundTruthS3Input] -> Value # toEncodingList :: [MonitoringGroundTruthS3Input] -> Encoding #
FromJSON MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input Methods parseJSON :: Value -> Parser MonitoringGroundTruthS3Input # parseJSONList :: Value -> Parser [MonitoringGroundTruthS3Input] #
type Rep MonitoringGroundTruthS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input type Rep MonitoringGroundTruthS3Input = D1 ('MetaData "MonitoringGroundTruthS3Input" "Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringGroundTruthS3Input'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMonitoringGroundTruthS3Input :: MonitoringGroundTruthS3Input Source #

Create a value of MonitoringGroundTruthS3Input with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:MonitoringGroundTruthS3Input', monitoringGroundTruthS3Input_s3Uri - The address of the Amazon S3 location of the ground truth labels.

monitoringGroundTruthS3Input_s3Uri :: Lens' MonitoringGroundTruthS3Input (Maybe Text) Source #

The address of the Amazon S3 location of the ground truth labels.

MonitoringInput

data MonitoringInput Source #

The inputs for a monitoring job.

See: newMonitoringInput smart constructor.

Constructors

MonitoringInput'
Fields endpointInput :: EndpointInput The endpoint for a monitoring job.

Instances

Instances details

Eq MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods (==) :: MonitoringInput -> MonitoringInput -> Bool # (/=) :: MonitoringInput -> MonitoringInput -> Bool #
Read MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods readsPrec :: Int -> ReadS MonitoringInput # readList :: ReadS [MonitoringInput] # readPrec :: ReadPrec MonitoringInput # readListPrec :: ReadPrec [MonitoringInput] #
Show MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods showsPrec :: Int -> MonitoringInput -> ShowS # show :: MonitoringInput -> String # showList :: [MonitoringInput] -> ShowS #
Generic MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Associated Types type Rep MonitoringInput :: Type -> Type # Methods from :: MonitoringInput -> Rep MonitoringInput x # to :: Rep MonitoringInput x -> MonitoringInput #
NFData MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods rnf :: MonitoringInput -> () #
Hashable MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods hashWithSalt :: Int -> MonitoringInput -> Int # hash :: MonitoringInput -> Int #
ToJSON MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods toJSON :: MonitoringInput -> Value # toEncoding :: MonitoringInput -> Encoding # toJSONList :: [MonitoringInput] -> Value # toEncodingList :: [MonitoringInput] -> Encoding #
FromJSON MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput Methods parseJSON :: Value -> Parser MonitoringInput # parseJSONList :: Value -> Parser [MonitoringInput] #
type Rep MonitoringInput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringInput type Rep MonitoringInput = D1 ('MetaData "MonitoringInput" "Amazonka.SageMaker.Types.MonitoringInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointInput)))

newMonitoringInput Source #

Arguments

:: EndpointInput	`$sel:endpointInput:MonitoringInput'`
-> MonitoringInput

Create a value of MonitoringInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointInput:MonitoringInput', monitoringInput_endpointInput - The endpoint for a monitoring job.

monitoringInput_endpointInput :: Lens' MonitoringInput EndpointInput Source #

The endpoint for a monitoring job.

MonitoringJobDefinition

data MonitoringJobDefinition Source #

Defines the monitoring job.

See: newMonitoringJobDefinition smart constructor.

Constructors

MonitoringJobDefinition'

Fields

environment :: Maybe (HashMap Text Text)
Sets the environment variables in the Docker container.
stoppingCondition :: Maybe MonitoringStoppingCondition
Specifies a time limit for how long the monitoring job is allowed to run.
networkConfig :: Maybe NetworkConfig
Specifies networking options for an monitoring job.
baselineConfig :: Maybe MonitoringBaselineConfig
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
monitoringInputs :: NonEmpty MonitoringInput
The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.
monitoringOutputConfig :: MonitoringOutputConfig
The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
monitoringResources :: MonitoringResources
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
monitoringAppSpecification :: MonitoringAppSpecification
Configures the monitoring job to run a specified Docker container image.
roleArn :: Text
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

Instances

Instances details

Eq MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods (==) :: MonitoringJobDefinition -> MonitoringJobDefinition -> Bool # (/=) :: MonitoringJobDefinition -> MonitoringJobDefinition -> Bool #
Read MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods readsPrec :: Int -> ReadS MonitoringJobDefinition # readList :: ReadS [MonitoringJobDefinition] # readPrec :: ReadPrec MonitoringJobDefinition # readListPrec :: ReadPrec [MonitoringJobDefinition] #
Show MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods showsPrec :: Int -> MonitoringJobDefinition -> ShowS # show :: MonitoringJobDefinition -> String # showList :: [MonitoringJobDefinition] -> ShowS #
Generic MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Associated Types type Rep MonitoringJobDefinition :: Type -> Type # Methods from :: MonitoringJobDefinition -> Rep MonitoringJobDefinition x # to :: Rep MonitoringJobDefinition x -> MonitoringJobDefinition #
NFData MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods rnf :: MonitoringJobDefinition -> () #
Hashable MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods hashWithSalt :: Int -> MonitoringJobDefinition -> Int # hash :: MonitoringJobDefinition -> Int #
ToJSON MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods toJSON :: MonitoringJobDefinition -> Value # toEncoding :: MonitoringJobDefinition -> Encoding # toJSONList :: [MonitoringJobDefinition] -> Value # toEncodingList :: [MonitoringJobDefinition] -> Encoding #
FromJSON MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition Methods parseJSON :: Value -> Parser MonitoringJobDefinition # parseJSONList :: Value -> Parser [MonitoringJobDefinition] #
type Rep MonitoringJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition type Rep MonitoringJobDefinition = D1 ('MetaData "MonitoringJobDefinition" "Amazonka.SageMaker.Types.MonitoringJobDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringJobDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringStoppingCondition))) :: (S1 ('MetaSel ('Just "networkConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NetworkConfig)) :: S1 ('MetaSel ('Just "baselineConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringBaselineConfig)))) :: ((S1 ('MetaSel ('Just "monitoringInputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty MonitoringInput)) :: S1 ('MetaSel ('Just "monitoringOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringOutputConfig)) :: (S1 ('MetaSel ('Just "monitoringResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringResources) :: (S1 ('MetaSel ('Just "monitoringAppSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringAppSpecification) :: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newMonitoringJobDefinition Source #

Arguments

:: NonEmpty MonitoringInput	`$sel:monitoringInputs:MonitoringJobDefinition'`
-> MonitoringOutputConfig	`$sel:monitoringOutputConfig:MonitoringJobDefinition'`
-> MonitoringResources	`$sel:monitoringResources:MonitoringJobDefinition'`
-> MonitoringAppSpecification	`$sel:monitoringAppSpecification:MonitoringJobDefinition'`
-> Text	`$sel:roleArn:MonitoringJobDefinition'`
-> MonitoringJobDefinition

Create a value of MonitoringJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:MonitoringJobDefinition', monitoringJobDefinition_environment - Sets the environment variables in the Docker container.

$sel:stoppingCondition:MonitoringJobDefinition', monitoringJobDefinition_stoppingCondition - Specifies a time limit for how long the monitoring job is allowed to run.

$sel:networkConfig:MonitoringJobDefinition', monitoringJobDefinition_networkConfig - Specifies networking options for an monitoring job.

$sel:baselineConfig:MonitoringJobDefinition', monitoringJobDefinition_baselineConfig - Baseline configuration used to validate that the data conforms to the specified constraints and statistics

$sel:monitoringInputs:MonitoringJobDefinition', monitoringJobDefinition_monitoringInputs - The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.

$sel:monitoringOutputConfig:MonitoringJobDefinition', monitoringJobDefinition_monitoringOutputConfig - The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).

$sel:monitoringResources:MonitoringJobDefinition', monitoringJobDefinition_monitoringResources - Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

$sel:monitoringAppSpecification:MonitoringJobDefinition', monitoringJobDefinition_monitoringAppSpecification - Configures the monitoring job to run a specified Docker container image.

$sel:roleArn:MonitoringJobDefinition', monitoringJobDefinition_roleArn - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

monitoringJobDefinition_environment :: Lens' MonitoringJobDefinition (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

monitoringJobDefinition_stoppingCondition :: Lens' MonitoringJobDefinition (Maybe MonitoringStoppingCondition) Source #

Specifies a time limit for how long the monitoring job is allowed to run.

monitoringJobDefinition_networkConfig :: Lens' MonitoringJobDefinition (Maybe NetworkConfig) Source #

Specifies networking options for an monitoring job.

monitoringJobDefinition_baselineConfig :: Lens' MonitoringJobDefinition (Maybe MonitoringBaselineConfig) Source #

Baseline configuration used to validate that the data conforms to the specified constraints and statistics

monitoringJobDefinition_monitoringInputs :: Lens' MonitoringJobDefinition (NonEmpty MonitoringInput) Source #

The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.

monitoringJobDefinition_monitoringOutputConfig :: Lens' MonitoringJobDefinition MonitoringOutputConfig Source #

The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).

monitoringJobDefinition_monitoringResources :: Lens' MonitoringJobDefinition MonitoringResources Source #

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

monitoringJobDefinition_monitoringAppSpecification :: Lens' MonitoringJobDefinition MonitoringAppSpecification Source #

Configures the monitoring job to run a specified Docker container image.

monitoringJobDefinition_roleArn :: Lens' MonitoringJobDefinition Text Source #

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

MonitoringJobDefinitionSummary

data MonitoringJobDefinitionSummary Source #

Summary information about a monitoring job.

See: newMonitoringJobDefinitionSummary smart constructor.

Constructors

MonitoringJobDefinitionSummary'
Fields monitoringJobDefinitionName :: Text The name of the monitoring job. monitoringJobDefinitionArn :: Text The Amazon Resource Name (ARN) of the monitoring job. creationTime :: POSIX The time that the monitoring job was created. endpointName :: Text The name of the endpoint that the job monitors.

Instances

Instances details

Eq MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Methods (==) :: MonitoringJobDefinitionSummary -> MonitoringJobDefinitionSummary -> Bool # (/=) :: MonitoringJobDefinitionSummary -> MonitoringJobDefinitionSummary -> Bool #
Read MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Methods readsPrec :: Int -> ReadS MonitoringJobDefinitionSummary # readList :: ReadS [MonitoringJobDefinitionSummary] # readPrec :: ReadPrec MonitoringJobDefinitionSummary # readListPrec :: ReadPrec [MonitoringJobDefinitionSummary] #
Show MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Methods showsPrec :: Int -> MonitoringJobDefinitionSummary -> ShowS # show :: MonitoringJobDefinitionSummary -> String # showList :: [MonitoringJobDefinitionSummary] -> ShowS #
Generic MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Associated Types type Rep MonitoringJobDefinitionSummary :: Type -> Type # Methods from :: MonitoringJobDefinitionSummary -> Rep MonitoringJobDefinitionSummary x # to :: Rep MonitoringJobDefinitionSummary x -> MonitoringJobDefinitionSummary #
NFData MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Methods rnf :: MonitoringJobDefinitionSummary -> () #
Hashable MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Methods hashWithSalt :: Int -> MonitoringJobDefinitionSummary -> Int # hash :: MonitoringJobDefinitionSummary -> Int #
FromJSON MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary Methods parseJSON :: Value -> Parser MonitoringJobDefinitionSummary # parseJSONList :: Value -> Parser [MonitoringJobDefinitionSummary] #
type Rep MonitoringJobDefinitionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary type Rep MonitoringJobDefinitionSummary = D1 ('MetaData "MonitoringJobDefinitionSummary" "Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringJobDefinitionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "monitoringJobDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMonitoringJobDefinitionSummary Source #

Arguments

:: Text	`$sel:monitoringJobDefinitionName:MonitoringJobDefinitionSummary'`
-> Text	`$sel:monitoringJobDefinitionArn:MonitoringJobDefinitionSummary'`
-> UTCTime	`$sel:creationTime:MonitoringJobDefinitionSummary'`
-> Text	`$sel:endpointName:MonitoringJobDefinitionSummary'`
-> MonitoringJobDefinitionSummary

Create a value of MonitoringJobDefinitionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringJobDefinitionName:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_monitoringJobDefinitionName - The name of the monitoring job.

$sel:monitoringJobDefinitionArn:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_monitoringJobDefinitionArn - The Amazon Resource Name (ARN) of the monitoring job.

$sel:creationTime:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_creationTime - The time that the monitoring job was created.

$sel:endpointName:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_endpointName - The name of the endpoint that the job monitors.

monitoringJobDefinitionSummary_monitoringJobDefinitionName :: Lens' MonitoringJobDefinitionSummary Text Source #

The name of the monitoring job.

monitoringJobDefinitionSummary_monitoringJobDefinitionArn :: Lens' MonitoringJobDefinitionSummary Text Source #

The Amazon Resource Name (ARN) of the monitoring job.

monitoringJobDefinitionSummary_creationTime :: Lens' MonitoringJobDefinitionSummary UTCTime Source #

The time that the monitoring job was created.

monitoringJobDefinitionSummary_endpointName :: Lens' MonitoringJobDefinitionSummary Text Source #

The name of the endpoint that the job monitors.

MonitoringNetworkConfig

data MonitoringNetworkConfig Source #

The networking configuration for the monitoring job.

See: newMonitoringNetworkConfig smart constructor.

Constructors

MonitoringNetworkConfig'

Fields

enableNetworkIsolation :: Maybe Bool
Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
vpcConfig :: Maybe VpcConfig
enableInterContainerTrafficEncryption :: Maybe Bool
Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.

Instances

Instances details

Eq MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods (==) :: MonitoringNetworkConfig -> MonitoringNetworkConfig -> Bool # (/=) :: MonitoringNetworkConfig -> MonitoringNetworkConfig -> Bool #
Read MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods readsPrec :: Int -> ReadS MonitoringNetworkConfig # readList :: ReadS [MonitoringNetworkConfig] # readPrec :: ReadPrec MonitoringNetworkConfig # readListPrec :: ReadPrec [MonitoringNetworkConfig] #
Show MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods showsPrec :: Int -> MonitoringNetworkConfig -> ShowS # show :: MonitoringNetworkConfig -> String # showList :: [MonitoringNetworkConfig] -> ShowS #
Generic MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Associated Types type Rep MonitoringNetworkConfig :: Type -> Type # Methods from :: MonitoringNetworkConfig -> Rep MonitoringNetworkConfig x # to :: Rep MonitoringNetworkConfig x -> MonitoringNetworkConfig #
NFData MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods rnf :: MonitoringNetworkConfig -> () #
Hashable MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods hashWithSalt :: Int -> MonitoringNetworkConfig -> Int # hash :: MonitoringNetworkConfig -> Int #
ToJSON MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods toJSON :: MonitoringNetworkConfig -> Value # toEncoding :: MonitoringNetworkConfig -> Encoding # toJSONList :: [MonitoringNetworkConfig] -> Value # toEncodingList :: [MonitoringNetworkConfig] -> Encoding #
FromJSON MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig Methods parseJSON :: Value -> Parser MonitoringNetworkConfig # parseJSONList :: Value -> Parser [MonitoringNetworkConfig] #
type Rep MonitoringNetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig type Rep MonitoringNetworkConfig = D1 ('MetaData "MonitoringNetworkConfig" "Amazonka.SageMaker.Types.MonitoringNetworkConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringNetworkConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)) :: S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))))

newMonitoringNetworkConfig :: MonitoringNetworkConfig Source #

Create a value of MonitoringNetworkConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableNetworkIsolation:MonitoringNetworkConfig', monitoringNetworkConfig_enableNetworkIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.

$sel:vpcConfig:MonitoringNetworkConfig', monitoringNetworkConfig_vpcConfig - Undocumented member.

$sel:enableInterContainerTrafficEncryption:MonitoringNetworkConfig', monitoringNetworkConfig_enableInterContainerTrafficEncryption - Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.

monitoringNetworkConfig_enableNetworkIsolation :: Lens' MonitoringNetworkConfig (Maybe Bool) Source #

Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.

monitoringNetworkConfig_vpcConfig :: Lens' MonitoringNetworkConfig (Maybe VpcConfig) Source #

Undocumented member.

monitoringNetworkConfig_enableInterContainerTrafficEncryption :: Lens' MonitoringNetworkConfig (Maybe Bool) Source #

Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.

MonitoringOutput

data MonitoringOutput Source #

The output object for a monitoring job.

See: newMonitoringOutput smart constructor.

Constructors

MonitoringOutput'
Fields s3Output :: MonitoringS3Output The Amazon S3 storage location where the results of a monitoring job are saved.

Instances

Instances details

Eq MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods (==) :: MonitoringOutput -> MonitoringOutput -> Bool # (/=) :: MonitoringOutput -> MonitoringOutput -> Bool #
Read MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods readsPrec :: Int -> ReadS MonitoringOutput # readList :: ReadS [MonitoringOutput] # readPrec :: ReadPrec MonitoringOutput # readListPrec :: ReadPrec [MonitoringOutput] #
Show MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods showsPrec :: Int -> MonitoringOutput -> ShowS # show :: MonitoringOutput -> String # showList :: [MonitoringOutput] -> ShowS #
Generic MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Associated Types type Rep MonitoringOutput :: Type -> Type # Methods from :: MonitoringOutput -> Rep MonitoringOutput x # to :: Rep MonitoringOutput x -> MonitoringOutput #
NFData MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods rnf :: MonitoringOutput -> () #
Hashable MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods hashWithSalt :: Int -> MonitoringOutput -> Int # hash :: MonitoringOutput -> Int #
ToJSON MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods toJSON :: MonitoringOutput -> Value # toEncoding :: MonitoringOutput -> Encoding # toJSONList :: [MonitoringOutput] -> Value # toEncodingList :: [MonitoringOutput] -> Encoding #
FromJSON MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput Methods parseJSON :: Value -> Parser MonitoringOutput # parseJSONList :: Value -> Parser [MonitoringOutput] #
type Rep MonitoringOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutput type Rep MonitoringOutput = D1 ('MetaData "MonitoringOutput" "Amazonka.SageMaker.Types.MonitoringOutput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringS3Output)))

newMonitoringOutput Source #

Arguments

:: MonitoringS3Output	`$sel:s3Output:MonitoringOutput'`
-> MonitoringOutput

Create a value of MonitoringOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Output:MonitoringOutput', monitoringOutput_s3Output - The Amazon S3 storage location where the results of a monitoring job are saved.

monitoringOutput_s3Output :: Lens' MonitoringOutput MonitoringS3Output Source #

The Amazon S3 storage location where the results of a monitoring job are saved.

MonitoringOutputConfig

data MonitoringOutputConfig Source #

The output configuration for monitoring jobs.

See: newMonitoringOutputConfig smart constructor.

Constructors

MonitoringOutputConfig'
Fields kmsKeyId :: Maybe Text The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. monitoringOutputs :: NonEmpty MonitoringOutput Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

Instances

Instances details

Eq MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods (==) :: MonitoringOutputConfig -> MonitoringOutputConfig -> Bool # (/=) :: MonitoringOutputConfig -> MonitoringOutputConfig -> Bool #
Read MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods readsPrec :: Int -> ReadS MonitoringOutputConfig # readList :: ReadS [MonitoringOutputConfig] # readPrec :: ReadPrec MonitoringOutputConfig # readListPrec :: ReadPrec [MonitoringOutputConfig] #
Show MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods showsPrec :: Int -> MonitoringOutputConfig -> ShowS # show :: MonitoringOutputConfig -> String # showList :: [MonitoringOutputConfig] -> ShowS #
Generic MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Associated Types type Rep MonitoringOutputConfig :: Type -> Type # Methods from :: MonitoringOutputConfig -> Rep MonitoringOutputConfig x # to :: Rep MonitoringOutputConfig x -> MonitoringOutputConfig #
NFData MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods rnf :: MonitoringOutputConfig -> () #
Hashable MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods hashWithSalt :: Int -> MonitoringOutputConfig -> Int # hash :: MonitoringOutputConfig -> Int #
ToJSON MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods toJSON :: MonitoringOutputConfig -> Value # toEncoding :: MonitoringOutputConfig -> Encoding # toJSONList :: [MonitoringOutputConfig] -> Value # toEncodingList :: [MonitoringOutputConfig] -> Encoding #
FromJSON MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig Methods parseJSON :: Value -> Parser MonitoringOutputConfig # parseJSONList :: Value -> Parser [MonitoringOutputConfig] #
type Rep MonitoringOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig type Rep MonitoringOutputConfig = D1 ('MetaData "MonitoringOutputConfig" "Amazonka.SageMaker.Types.MonitoringOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "monitoringOutputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty MonitoringOutput))))

newMonitoringOutputConfig Source #

Arguments

:: NonEmpty MonitoringOutput	`$sel:monitoringOutputs:MonitoringOutputConfig'`
-> MonitoringOutputConfig

Create a value of MonitoringOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:MonitoringOutputConfig', monitoringOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

$sel:monitoringOutputs:MonitoringOutputConfig', monitoringOutputConfig_monitoringOutputs - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

monitoringOutputConfig_kmsKeyId :: Lens' MonitoringOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputConfig_monitoringOutputs :: Lens' MonitoringOutputConfig (NonEmpty MonitoringOutput) Source #

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

MonitoringResources

data MonitoringResources Source #

Identifies the resources to deploy for a monitoring job.

See: newMonitoringResources smart constructor.

Constructors

MonitoringResources'
Fields clusterConfig :: MonitoringClusterConfig The configuration for the cluster resources used to run the processing job.

Instances

Instances details

Eq MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods (==) :: MonitoringResources -> MonitoringResources -> Bool # (/=) :: MonitoringResources -> MonitoringResources -> Bool #
Read MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods readsPrec :: Int -> ReadS MonitoringResources # readList :: ReadS [MonitoringResources] # readPrec :: ReadPrec MonitoringResources # readListPrec :: ReadPrec [MonitoringResources] #
Show MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods showsPrec :: Int -> MonitoringResources -> ShowS # show :: MonitoringResources -> String # showList :: [MonitoringResources] -> ShowS #
Generic MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Associated Types type Rep MonitoringResources :: Type -> Type # Methods from :: MonitoringResources -> Rep MonitoringResources x # to :: Rep MonitoringResources x -> MonitoringResources #
NFData MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods rnf :: MonitoringResources -> () #
Hashable MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods hashWithSalt :: Int -> MonitoringResources -> Int # hash :: MonitoringResources -> Int #
ToJSON MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods toJSON :: MonitoringResources -> Value # toEncoding :: MonitoringResources -> Encoding # toJSONList :: [MonitoringResources] -> Value # toEncodingList :: [MonitoringResources] -> Encoding #
FromJSON MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources Methods parseJSON :: Value -> Parser MonitoringResources # parseJSONList :: Value -> Parser [MonitoringResources] #
type Rep MonitoringResources Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringResources type Rep MonitoringResources = D1 ('MetaData "MonitoringResources" "Amazonka.SageMaker.Types.MonitoringResources" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringResources'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clusterConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringClusterConfig)))

newMonitoringResources Source #

Arguments

:: MonitoringClusterConfig	`$sel:clusterConfig:MonitoringResources'`
-> MonitoringResources

Create a value of MonitoringResources with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clusterConfig:MonitoringResources', monitoringResources_clusterConfig - The configuration for the cluster resources used to run the processing job.

monitoringResources_clusterConfig :: Lens' MonitoringResources MonitoringClusterConfig Source #

The configuration for the cluster resources used to run the processing job.

MonitoringS3Output

data MonitoringS3Output Source #

Information about where and how you want to store the results of a monitoring job.

See: newMonitoringS3Output smart constructor.

Constructors

MonitoringS3Output'

Fields

s3UploadMode :: Maybe ProcessingS3UploadMode
Whether to upload the results of the monitoring job continuously or after the job completes.
s3Uri :: Text
A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
localPath :: Text
The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

Instances

Instances details

Eq MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods (==) :: MonitoringS3Output -> MonitoringS3Output -> Bool # (/=) :: MonitoringS3Output -> MonitoringS3Output -> Bool #
Read MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods readsPrec :: Int -> ReadS MonitoringS3Output # readList :: ReadS [MonitoringS3Output] # readPrec :: ReadPrec MonitoringS3Output # readListPrec :: ReadPrec [MonitoringS3Output] #
Show MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods showsPrec :: Int -> MonitoringS3Output -> ShowS # show :: MonitoringS3Output -> String # showList :: [MonitoringS3Output] -> ShowS #
Generic MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Associated Types type Rep MonitoringS3Output :: Type -> Type # Methods from :: MonitoringS3Output -> Rep MonitoringS3Output x # to :: Rep MonitoringS3Output x -> MonitoringS3Output #
NFData MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods rnf :: MonitoringS3Output -> () #
Hashable MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods hashWithSalt :: Int -> MonitoringS3Output -> Int # hash :: MonitoringS3Output -> Int #
ToJSON MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods toJSON :: MonitoringS3Output -> Value # toEncoding :: MonitoringS3Output -> Encoding # toJSONList :: [MonitoringS3Output] -> Value # toEncodingList :: [MonitoringS3Output] -> Encoding #
FromJSON MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output Methods parseJSON :: Value -> Parser MonitoringS3Output # parseJSONList :: Value -> Parser [MonitoringS3Output] #
type Rep MonitoringS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringS3Output type Rep MonitoringS3Output = D1 ('MetaData "MonitoringS3Output" "Amazonka.SageMaker.Types.MonitoringS3Output" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringS3Output'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3UploadMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3UploadMode)) :: (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMonitoringS3Output Source #

Arguments

:: Text	`$sel:s3Uri:MonitoringS3Output'`
-> Text	`$sel:localPath:MonitoringS3Output'`
-> MonitoringS3Output

Create a value of MonitoringS3Output with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3UploadMode:MonitoringS3Output', monitoringS3Output_s3UploadMode - Whether to upload the results of the monitoring job continuously or after the job completes.

$sel:s3Uri:MonitoringS3Output', monitoringS3Output_s3Uri - A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

$sel:localPath:MonitoringS3Output', monitoringS3Output_localPath - The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

monitoringS3Output_s3UploadMode :: Lens' MonitoringS3Output (Maybe ProcessingS3UploadMode) Source #

Whether to upload the results of the monitoring job continuously or after the job completes.

monitoringS3Output_s3Uri :: Lens' MonitoringS3Output Text Source #

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

monitoringS3Output_localPath :: Lens' MonitoringS3Output Text Source #

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

MonitoringSchedule

data MonitoringSchedule Source #

A schedule for a model monitoring job. For information about model monitor, see Amazon SageMaker Model Monitor.

See: newMonitoringSchedule smart constructor.

Constructors

MonitoringSchedule'

Fields

creationTime :: Maybe POSIX
The time that the monitoring schedule was created.
monitoringType :: Maybe MonitoringType
The type of the monitoring job definition to schedule.
failureReason :: Maybe Text
If the monitoring schedule failed, the reason it failed.
monitoringScheduleArn :: Maybe Text
The Amazon Resource Name (ARN) of the monitoring schedule.
endpointName :: Maybe Text
The endpoint that hosts the model being monitored.
lastModifiedTime :: Maybe POSIX
The last time the monitoring schedule was changed.
monitoringScheduleStatus :: Maybe ScheduleStatus
The status of the monitoring schedule. This can be one of the following values.
- PENDING - The schedule is pending being created.
- FAILED - The schedule failed.
- SCHEDULED - The schedule was successfully created.
- STOPPED - The schedule was stopped.
lastMonitoringExecutionSummary :: Maybe MonitoringExecutionSummary
monitoringScheduleConfig :: Maybe MonitoringScheduleConfig
monitoringScheduleName :: Maybe Text
The name of the monitoring schedule.
tags :: Maybe [Tag]
A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

Instances

Instances details

Eq MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Methods (==) :: MonitoringSchedule -> MonitoringSchedule -> Bool # (/=) :: MonitoringSchedule -> MonitoringSchedule -> Bool #
Read MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Methods readsPrec :: Int -> ReadS MonitoringSchedule # readList :: ReadS [MonitoringSchedule] # readPrec :: ReadPrec MonitoringSchedule # readListPrec :: ReadPrec [MonitoringSchedule] #
Show MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Methods showsPrec :: Int -> MonitoringSchedule -> ShowS # show :: MonitoringSchedule -> String # showList :: [MonitoringSchedule] -> ShowS #
Generic MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Associated Types type Rep MonitoringSchedule :: Type -> Type # Methods from :: MonitoringSchedule -> Rep MonitoringSchedule x # to :: Rep MonitoringSchedule x -> MonitoringSchedule #
NFData MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Methods rnf :: MonitoringSchedule -> () #
Hashable MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Methods hashWithSalt :: Int -> MonitoringSchedule -> Int # hash :: MonitoringSchedule -> Int #
FromJSON MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule Methods parseJSON :: Value -> Parser MonitoringSchedule # parseJSONList :: Value -> Parser [MonitoringSchedule] #
type Rep MonitoringSchedule Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringSchedule type Rep MonitoringSchedule = D1 ('MetaData "MonitoringSchedule" "Amazonka.SageMaker.Types.MonitoringSchedule" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringSchedule'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType))) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "monitoringScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScheduleStatus)) :: S1 ('MetaSel ('Just "lastMonitoringExecutionSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringExecutionSummary)))) :: (S1 ('MetaSel ('Just "monitoringScheduleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringScheduleConfig)) :: (S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newMonitoringSchedule :: MonitoringSchedule Source #

Create a value of MonitoringSchedule with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:MonitoringSchedule', monitoringSchedule_creationTime - The time that the monitoring schedule was created.

$sel:monitoringType:MonitoringSchedule', monitoringSchedule_monitoringType - The type of the monitoring job definition to schedule.

$sel:failureReason:MonitoringSchedule', monitoringSchedule_failureReason - If the monitoring schedule failed, the reason it failed.

$sel:monitoringScheduleArn:MonitoringSchedule', monitoringSchedule_monitoringScheduleArn - The Amazon Resource Name (ARN) of the monitoring schedule.

$sel:endpointName:MonitoringSchedule', monitoringSchedule_endpointName - The endpoint that hosts the model being monitored.

$sel:lastModifiedTime:MonitoringSchedule', monitoringSchedule_lastModifiedTime - The last time the monitoring schedule was changed.

$sel:monitoringScheduleStatus:MonitoringSchedule', monitoringSchedule_monitoringScheduleStatus - The status of the monitoring schedule. This can be one of the following values.

PENDING - The schedule is pending being created.
FAILED - The schedule failed.
SCHEDULED - The schedule was successfully created.
STOPPED - The schedule was stopped.

$sel:lastMonitoringExecutionSummary:MonitoringSchedule', monitoringSchedule_lastMonitoringExecutionSummary - Undocumented member.

$sel:monitoringScheduleConfig:MonitoringSchedule', monitoringSchedule_monitoringScheduleConfig - Undocumented member.

$sel:monitoringScheduleName:MonitoringSchedule', monitoringSchedule_monitoringScheduleName - The name of the monitoring schedule.

$sel:tags:MonitoringSchedule', monitoringSchedule_tags - A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

monitoringSchedule_creationTime :: Lens' MonitoringSchedule (Maybe UTCTime) Source #

The time that the monitoring schedule was created.

monitoringSchedule_monitoringType :: Lens' MonitoringSchedule (Maybe MonitoringType) Source #

The type of the monitoring job definition to schedule.

monitoringSchedule_failureReason :: Lens' MonitoringSchedule (Maybe Text) Source #

If the monitoring schedule failed, the reason it failed.

monitoringSchedule_monitoringScheduleArn :: Lens' MonitoringSchedule (Maybe Text) Source #

The Amazon Resource Name (ARN) of the monitoring schedule.

monitoringSchedule_endpointName :: Lens' MonitoringSchedule (Maybe Text) Source #

The endpoint that hosts the model being monitored.

monitoringSchedule_lastModifiedTime :: Lens' MonitoringSchedule (Maybe UTCTime) Source #

The last time the monitoring schedule was changed.

monitoringSchedule_monitoringScheduleStatus :: Lens' MonitoringSchedule (Maybe ScheduleStatus) Source #

The status of the monitoring schedule. This can be one of the following values.

PENDING - The schedule is pending being created.
FAILED - The schedule failed.
SCHEDULED - The schedule was successfully created.
STOPPED - The schedule was stopped.

monitoringSchedule_lastMonitoringExecutionSummary :: Lens' MonitoringSchedule (Maybe MonitoringExecutionSummary) Source #

Undocumented member.

monitoringSchedule_monitoringScheduleConfig :: Lens' MonitoringSchedule (Maybe MonitoringScheduleConfig) Source #

Undocumented member.

monitoringSchedule_monitoringScheduleName :: Lens' MonitoringSchedule (Maybe Text) Source #

The name of the monitoring schedule.

monitoringSchedule_tags :: Lens' MonitoringSchedule (Maybe [Tag]) Source #

A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

MonitoringScheduleConfig

data MonitoringScheduleConfig Source #

Configures the monitoring schedule and defines the monitoring job.

See: newMonitoringScheduleConfig smart constructor.

Constructors

MonitoringScheduleConfig'
Fields monitoringType :: Maybe MonitoringType The type of the monitoring job definition to schedule. scheduleConfig :: Maybe ScheduleConfig Configures the monitoring schedule. monitoringJobDefinition :: Maybe MonitoringJobDefinition Defines the monitoring job. monitoringJobDefinitionName :: Maybe Text The name of the monitoring job definition to schedule.

Instances

Instances details

Eq MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods (==) :: MonitoringScheduleConfig -> MonitoringScheduleConfig -> Bool # (/=) :: MonitoringScheduleConfig -> MonitoringScheduleConfig -> Bool #
Read MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods readsPrec :: Int -> ReadS MonitoringScheduleConfig # readList :: ReadS [MonitoringScheduleConfig] # readPrec :: ReadPrec MonitoringScheduleConfig # readListPrec :: ReadPrec [MonitoringScheduleConfig] #
Show MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods showsPrec :: Int -> MonitoringScheduleConfig -> ShowS # show :: MonitoringScheduleConfig -> String # showList :: [MonitoringScheduleConfig] -> ShowS #
Generic MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Associated Types type Rep MonitoringScheduleConfig :: Type -> Type # Methods from :: MonitoringScheduleConfig -> Rep MonitoringScheduleConfig x # to :: Rep MonitoringScheduleConfig x -> MonitoringScheduleConfig #
NFData MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods rnf :: MonitoringScheduleConfig -> () #
Hashable MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods hashWithSalt :: Int -> MonitoringScheduleConfig -> Int # hash :: MonitoringScheduleConfig -> Int #
ToJSON MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods toJSON :: MonitoringScheduleConfig -> Value # toEncoding :: MonitoringScheduleConfig -> Encoding # toJSONList :: [MonitoringScheduleConfig] -> Value # toEncodingList :: [MonitoringScheduleConfig] -> Encoding #
FromJSON MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig Methods parseJSON :: Value -> Parser MonitoringScheduleConfig # parseJSONList :: Value -> Parser [MonitoringScheduleConfig] #
type Rep MonitoringScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig type Rep MonitoringScheduleConfig = D1 ('MetaData "MonitoringScheduleConfig" "Amazonka.SageMaker.Types.MonitoringScheduleConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringScheduleConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :: S1 ('MetaSel ('Just "scheduleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScheduleConfig))) :: (S1 ('MetaSel ('Just "monitoringJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringJobDefinition)) :*: S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newMonitoringScheduleConfig :: MonitoringScheduleConfig Source #

Create a value of MonitoringScheduleConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringType:MonitoringScheduleConfig', monitoringScheduleConfig_monitoringType - The type of the monitoring job definition to schedule.

$sel:scheduleConfig:MonitoringScheduleConfig', monitoringScheduleConfig_scheduleConfig - Configures the monitoring schedule.

$sel:monitoringJobDefinition:MonitoringScheduleConfig', monitoringScheduleConfig_monitoringJobDefinition - Defines the monitoring job.

$sel:monitoringJobDefinitionName:MonitoringScheduleConfig', monitoringScheduleConfig_monitoringJobDefinitionName - The name of the monitoring job definition to schedule.

monitoringScheduleConfig_monitoringType :: Lens' MonitoringScheduleConfig (Maybe MonitoringType) Source #

The type of the monitoring job definition to schedule.

monitoringScheduleConfig_scheduleConfig :: Lens' MonitoringScheduleConfig (Maybe ScheduleConfig) Source #

Configures the monitoring schedule.

monitoringScheduleConfig_monitoringJobDefinition :: Lens' MonitoringScheduleConfig (Maybe MonitoringJobDefinition) Source #

Defines the monitoring job.

monitoringScheduleConfig_monitoringJobDefinitionName :: Lens' MonitoringScheduleConfig (Maybe Text) Source #

The name of the monitoring job definition to schedule.

MonitoringScheduleSummary

data MonitoringScheduleSummary Source #

Summarizes the monitoring schedule.

See: newMonitoringScheduleSummary smart constructor.

Constructors

MonitoringScheduleSummary'

Fields

monitoringType :: Maybe MonitoringType
The type of the monitoring job definition that the schedule is for.
endpointName :: Maybe Text
The name of the endpoint using the monitoring schedule.
monitoringJobDefinitionName :: Maybe Text
The name of the monitoring job definition that the schedule is for.
monitoringScheduleName :: Text
The name of the monitoring schedule.
monitoringScheduleArn :: Text
The Amazon Resource Name (ARN) of the monitoring schedule.
creationTime :: POSIX
The creation time of the monitoring schedule.
lastModifiedTime :: POSIX
The last time the monitoring schedule was modified.
monitoringScheduleStatus :: ScheduleStatus
The status of the monitoring schedule.

Instances

Instances details

Eq MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Methods (==) :: MonitoringScheduleSummary -> MonitoringScheduleSummary -> Bool # (/=) :: MonitoringScheduleSummary -> MonitoringScheduleSummary -> Bool #
Read MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Methods readsPrec :: Int -> ReadS MonitoringScheduleSummary # readList :: ReadS [MonitoringScheduleSummary] # readPrec :: ReadPrec MonitoringScheduleSummary # readListPrec :: ReadPrec [MonitoringScheduleSummary] #
Show MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Methods showsPrec :: Int -> MonitoringScheduleSummary -> ShowS # show :: MonitoringScheduleSummary -> String # showList :: [MonitoringScheduleSummary] -> ShowS #
Generic MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Associated Types type Rep MonitoringScheduleSummary :: Type -> Type # Methods from :: MonitoringScheduleSummary -> Rep MonitoringScheduleSummary x # to :: Rep MonitoringScheduleSummary x -> MonitoringScheduleSummary #
NFData MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Methods rnf :: MonitoringScheduleSummary -> () #
Hashable MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Methods hashWithSalt :: Int -> MonitoringScheduleSummary -> Int # hash :: MonitoringScheduleSummary -> Int #
FromJSON MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary Methods parseJSON :: Value -> Parser MonitoringScheduleSummary # parseJSONList :: Value -> Parser [MonitoringScheduleSummary] #
type Rep MonitoringScheduleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary type Rep MonitoringScheduleSummary = D1 ('MetaData "MonitoringScheduleSummary" "Amazonka.SageMaker.Types.MonitoringScheduleSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringScheduleSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "monitoringScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ScheduleStatus)))))

newMonitoringScheduleSummary Source #

Arguments

:: Text	`$sel:monitoringScheduleName:MonitoringScheduleSummary'`
-> Text	`$sel:monitoringScheduleArn:MonitoringScheduleSummary'`
-> UTCTime	`$sel:creationTime:MonitoringScheduleSummary'`
-> UTCTime	`$sel:lastModifiedTime:MonitoringScheduleSummary'`
-> ScheduleStatus	`$sel:monitoringScheduleStatus:MonitoringScheduleSummary'`
-> MonitoringScheduleSummary

Create a value of MonitoringScheduleSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringType:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringType - The type of the monitoring job definition that the schedule is for.

$sel:endpointName:MonitoringScheduleSummary', monitoringScheduleSummary_endpointName - The name of the endpoint using the monitoring schedule.

$sel:monitoringJobDefinitionName:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringJobDefinitionName - The name of the monitoring job definition that the schedule is for.

$sel:monitoringScheduleName:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringScheduleName - The name of the monitoring schedule.

$sel:monitoringScheduleArn:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringScheduleArn - The Amazon Resource Name (ARN) of the monitoring schedule.

$sel:creationTime:MonitoringScheduleSummary', monitoringScheduleSummary_creationTime - The creation time of the monitoring schedule.

$sel:lastModifiedTime:MonitoringScheduleSummary', monitoringScheduleSummary_lastModifiedTime - The last time the monitoring schedule was modified.

$sel:monitoringScheduleStatus:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringScheduleStatus - The status of the monitoring schedule.

monitoringScheduleSummary_monitoringType :: Lens' MonitoringScheduleSummary (Maybe MonitoringType) Source #

The type of the monitoring job definition that the schedule is for.

monitoringScheduleSummary_endpointName :: Lens' MonitoringScheduleSummary (Maybe Text) Source #

The name of the endpoint using the monitoring schedule.

monitoringScheduleSummary_monitoringJobDefinitionName :: Lens' MonitoringScheduleSummary (Maybe Text) Source #

The name of the monitoring job definition that the schedule is for.

monitoringScheduleSummary_monitoringScheduleName :: Lens' MonitoringScheduleSummary Text Source #

The name of the monitoring schedule.

monitoringScheduleSummary_monitoringScheduleArn :: Lens' MonitoringScheduleSummary Text Source #

The Amazon Resource Name (ARN) of the monitoring schedule.

monitoringScheduleSummary_creationTime :: Lens' MonitoringScheduleSummary UTCTime Source #

The creation time of the monitoring schedule.

monitoringScheduleSummary_lastModifiedTime :: Lens' MonitoringScheduleSummary UTCTime Source #

The last time the monitoring schedule was modified.

monitoringScheduleSummary_monitoringScheduleStatus :: Lens' MonitoringScheduleSummary ScheduleStatus Source #

The status of the monitoring schedule.

MonitoringStatisticsResource

data MonitoringStatisticsResource Source #

The statistics resource for a monitoring job.

See: newMonitoringStatisticsResource smart constructor.

Constructors

MonitoringStatisticsResource'
Fields s3Uri :: Maybe Text The Amazon S3 URI for the statistics resource.

Instances

Instances details

Eq MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods (==) :: MonitoringStatisticsResource -> MonitoringStatisticsResource -> Bool # (/=) :: MonitoringStatisticsResource -> MonitoringStatisticsResource -> Bool #
Read MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods readsPrec :: Int -> ReadS MonitoringStatisticsResource # readList :: ReadS [MonitoringStatisticsResource] # readPrec :: ReadPrec MonitoringStatisticsResource # readListPrec :: ReadPrec [MonitoringStatisticsResource] #
Show MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods showsPrec :: Int -> MonitoringStatisticsResource -> ShowS # show :: MonitoringStatisticsResource -> String # showList :: [MonitoringStatisticsResource] -> ShowS #
Generic MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Associated Types type Rep MonitoringStatisticsResource :: Type -> Type # Methods from :: MonitoringStatisticsResource -> Rep MonitoringStatisticsResource x # to :: Rep MonitoringStatisticsResource x -> MonitoringStatisticsResource #
NFData MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods rnf :: MonitoringStatisticsResource -> () #
Hashable MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods hashWithSalt :: Int -> MonitoringStatisticsResource -> Int # hash :: MonitoringStatisticsResource -> Int #
ToJSON MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods toJSON :: MonitoringStatisticsResource -> Value # toEncoding :: MonitoringStatisticsResource -> Encoding # toJSONList :: [MonitoringStatisticsResource] -> Value # toEncodingList :: [MonitoringStatisticsResource] -> Encoding #
FromJSON MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource Methods parseJSON :: Value -> Parser MonitoringStatisticsResource # parseJSONList :: Value -> Parser [MonitoringStatisticsResource] #
type Rep MonitoringStatisticsResource Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource type Rep MonitoringStatisticsResource = D1 ('MetaData "MonitoringStatisticsResource" "Amazonka.SageMaker.Types.MonitoringStatisticsResource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringStatisticsResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMonitoringStatisticsResource :: MonitoringStatisticsResource Source #

Create a value of MonitoringStatisticsResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:MonitoringStatisticsResource', monitoringStatisticsResource_s3Uri - The Amazon S3 URI for the statistics resource.

monitoringStatisticsResource_s3Uri :: Lens' MonitoringStatisticsResource (Maybe Text) Source #

The Amazon S3 URI for the statistics resource.

MonitoringStoppingCondition

data MonitoringStoppingCondition Source #

A time limit for how long the monitoring job is allowed to run before stopping.

See: newMonitoringStoppingCondition smart constructor.

Constructors

MonitoringStoppingCondition'
Fields maxRuntimeInSeconds :: Natural The maximum runtime allowed in seconds. The `MaxRuntimeInSeconds` cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.

Instances

Instances details

Eq MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods (==) :: MonitoringStoppingCondition -> MonitoringStoppingCondition -> Bool # (/=) :: MonitoringStoppingCondition -> MonitoringStoppingCondition -> Bool #
Read MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods readsPrec :: Int -> ReadS MonitoringStoppingCondition # readList :: ReadS [MonitoringStoppingCondition] # readPrec :: ReadPrec MonitoringStoppingCondition # readListPrec :: ReadPrec [MonitoringStoppingCondition] #
Show MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods showsPrec :: Int -> MonitoringStoppingCondition -> ShowS # show :: MonitoringStoppingCondition -> String # showList :: [MonitoringStoppingCondition] -> ShowS #
Generic MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Associated Types type Rep MonitoringStoppingCondition :: Type -> Type # Methods from :: MonitoringStoppingCondition -> Rep MonitoringStoppingCondition x # to :: Rep MonitoringStoppingCondition x -> MonitoringStoppingCondition #
NFData MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods rnf :: MonitoringStoppingCondition -> () #
Hashable MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods hashWithSalt :: Int -> MonitoringStoppingCondition -> Int # hash :: MonitoringStoppingCondition -> Int #
ToJSON MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods toJSON :: MonitoringStoppingCondition -> Value # toEncoding :: MonitoringStoppingCondition -> Encoding # toJSONList :: [MonitoringStoppingCondition] -> Value # toEncodingList :: [MonitoringStoppingCondition] -> Encoding #
FromJSON MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition Methods parseJSON :: Value -> Parser MonitoringStoppingCondition # parseJSONList :: Value -> Parser [MonitoringStoppingCondition] #
type Rep MonitoringStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition type Rep MonitoringStoppingCondition = D1 ('MetaData "MonitoringStoppingCondition" "Amazonka.SageMaker.Types.MonitoringStoppingCondition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MonitoringStoppingCondition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newMonitoringStoppingCondition Source #

Arguments

:: Natural	`$sel:maxRuntimeInSeconds:MonitoringStoppingCondition'`
-> MonitoringStoppingCondition

Create a value of MonitoringStoppingCondition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxRuntimeInSeconds:MonitoringStoppingCondition', monitoringStoppingCondition_maxRuntimeInSeconds - The maximum runtime allowed in seconds.

The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.

monitoringStoppingCondition_maxRuntimeInSeconds :: Lens' MonitoringStoppingCondition Natural Source #

The maximum runtime allowed in seconds.

The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.

MultiModelConfig

data MultiModelConfig Source #

Specifies additional configuration for hosting multi-model endpoints.

See: newMultiModelConfig smart constructor.

Constructors

MultiModelConfig'

Fields

modelCacheSetting :: Maybe ModelCacheSetting
Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.

Instances

Instances details

Eq MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods (==) :: MultiModelConfig -> MultiModelConfig -> Bool # (/=) :: MultiModelConfig -> MultiModelConfig -> Bool #
Read MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods readsPrec :: Int -> ReadS MultiModelConfig # readList :: ReadS [MultiModelConfig] # readPrec :: ReadPrec MultiModelConfig # readListPrec :: ReadPrec [MultiModelConfig] #
Show MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods showsPrec :: Int -> MultiModelConfig -> ShowS # show :: MultiModelConfig -> String # showList :: [MultiModelConfig] -> ShowS #
Generic MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Associated Types type Rep MultiModelConfig :: Type -> Type # Methods from :: MultiModelConfig -> Rep MultiModelConfig x # to :: Rep MultiModelConfig x -> MultiModelConfig #
NFData MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods rnf :: MultiModelConfig -> () #
Hashable MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods hashWithSalt :: Int -> MultiModelConfig -> Int # hash :: MultiModelConfig -> Int #
ToJSON MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods toJSON :: MultiModelConfig -> Value # toEncoding :: MultiModelConfig -> Encoding # toJSONList :: [MultiModelConfig] -> Value # toEncodingList :: [MultiModelConfig] -> Encoding #
FromJSON MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig Methods parseJSON :: Value -> Parser MultiModelConfig # parseJSONList :: Value -> Parser [MultiModelConfig] #
type Rep MultiModelConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.MultiModelConfig type Rep MultiModelConfig = D1 ('MetaData "MultiModelConfig" "Amazonka.SageMaker.Types.MultiModelConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "MultiModelConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelCacheSetting") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCacheSetting))))

newMultiModelConfig :: MultiModelConfig Source #

Create a value of MultiModelConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelCacheSetting:MultiModelConfig', multiModelConfig_modelCacheSetting - Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.

multiModelConfig_modelCacheSetting :: Lens' MultiModelConfig (Maybe ModelCacheSetting) Source #

Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.

NeoVpcConfig

data NeoVpcConfig Source #

The VpcConfig configuration object that specifies the VPC that you want the compilation jobs to connect to. For more information on controlling access to your Amazon S3 buckets used for compilation job, see Give Amazon SageMaker Compilation Jobs Access to Resources in Your Amazon VPC.

See: newNeoVpcConfig smart constructor.

Constructors

NeoVpcConfig'
Fields securityGroupIds :: NonEmpty Text The VPC security group IDs. IDs have the form of `sg-xxxxxxxx`. Specify the security groups for the VPC that is specified in the `Subnets` field. subnets :: NonEmpty Text The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.

Instances

Instances details

Eq NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods (==) :: NeoVpcConfig -> NeoVpcConfig -> Bool # (/=) :: NeoVpcConfig -> NeoVpcConfig -> Bool #
Read NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods readsPrec :: Int -> ReadS NeoVpcConfig # readList :: ReadS [NeoVpcConfig] # readPrec :: ReadPrec NeoVpcConfig # readListPrec :: ReadPrec [NeoVpcConfig] #
Show NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods showsPrec :: Int -> NeoVpcConfig -> ShowS # show :: NeoVpcConfig -> String # showList :: [NeoVpcConfig] -> ShowS #
Generic NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Associated Types type Rep NeoVpcConfig :: Type -> Type # Methods from :: NeoVpcConfig -> Rep NeoVpcConfig x # to :: Rep NeoVpcConfig x -> NeoVpcConfig #
NFData NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods rnf :: NeoVpcConfig -> () #
Hashable NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods hashWithSalt :: Int -> NeoVpcConfig -> Int # hash :: NeoVpcConfig -> Int #
ToJSON NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods toJSON :: NeoVpcConfig -> Value # toEncoding :: NeoVpcConfig -> Encoding # toJSONList :: [NeoVpcConfig] -> Value # toEncodingList :: [NeoVpcConfig] -> Encoding #
FromJSON NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig Methods parseJSON :: Value -> Parser NeoVpcConfig # parseJSONList :: Value -> Parser [NeoVpcConfig] #
type Rep NeoVpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NeoVpcConfig type Rep NeoVpcConfig = D1 ('MetaData "NeoVpcConfig" "Amazonka.SageMaker.Types.NeoVpcConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NeoVpcConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :*: S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newNeoVpcConfig Source #

Arguments

:: NonEmpty Text	`$sel:securityGroupIds:NeoVpcConfig'`
-> NonEmpty Text	`$sel:subnets:NeoVpcConfig'`
-> NeoVpcConfig

Create a value of NeoVpcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityGroupIds:NeoVpcConfig', neoVpcConfig_securityGroupIds - The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

$sel:subnets:NeoVpcConfig', neoVpcConfig_subnets - The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.

neoVpcConfig_securityGroupIds :: Lens' NeoVpcConfig (NonEmpty Text) Source #

The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

neoVpcConfig_subnets :: Lens' NeoVpcConfig (NonEmpty Text) Source #

The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.

NestedFilters

data NestedFilters Source #

A list of nested Filter objects. A resource must satisfy the conditions of all filters to be included in the results returned from the Search API.

For example, to filter on a training job's InputDataConfig property with a specific channel name and S3Uri prefix, define the following filters:

'{Name:"InputDataConfig.ChannelName", "Operator":"Equals", "Value":"train"}',

'{Name:"InputDataConfig.DataSource.S3DataSource.S3Uri", "Operator":"Contains", "Value":"mybucket/catdata"}'

See: newNestedFilters smart constructor.

Constructors

NestedFilters'

Fields

nestedPropertyName :: Text
The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.
filters :: NonEmpty Filter
A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.

Instances

Instances details

Eq NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Methods (==) :: NestedFilters -> NestedFilters -> Bool # (/=) :: NestedFilters -> NestedFilters -> Bool #
Read NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Methods readsPrec :: Int -> ReadS NestedFilters # readList :: ReadS [NestedFilters] # readPrec :: ReadPrec NestedFilters # readListPrec :: ReadPrec [NestedFilters] #
Show NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Methods showsPrec :: Int -> NestedFilters -> ShowS # show :: NestedFilters -> String # showList :: [NestedFilters] -> ShowS #
Generic NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Associated Types type Rep NestedFilters :: Type -> Type # Methods from :: NestedFilters -> Rep NestedFilters x # to :: Rep NestedFilters x -> NestedFilters #
NFData NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Methods rnf :: NestedFilters -> () #
Hashable NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Methods hashWithSalt :: Int -> NestedFilters -> Int # hash :: NestedFilters -> Int #
ToJSON NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters Methods toJSON :: NestedFilters -> Value # toEncoding :: NestedFilters -> Encoding # toJSONList :: [NestedFilters] -> Value # toEncodingList :: [NestedFilters] -> Encoding #
type Rep NestedFilters Source #
Instance details Defined in Amazonka.SageMaker.Types.NestedFilters type Rep NestedFilters = D1 ('MetaData "NestedFilters" "Amazonka.SageMaker.Types.NestedFilters" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NestedFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nestedPropertyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Filter))))

newNestedFilters Source #

Arguments

:: Text	`$sel:nestedPropertyName:NestedFilters'`
-> NonEmpty Filter	`$sel:filters:NestedFilters'`
-> NestedFilters

Create a value of NestedFilters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:nestedPropertyName:NestedFilters', nestedFilters_nestedPropertyName - The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.

$sel:filters:NestedFilters', nestedFilters_filters - A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.

nestedFilters_nestedPropertyName :: Lens' NestedFilters Text Source #

The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.

nestedFilters_filters :: Lens' NestedFilters (NonEmpty Filter) Source #

A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.

NetworkConfig

data NetworkConfig Source #

Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.

See: newNetworkConfig smart constructor.

Constructors

NetworkConfig'

Fields

enableNetworkIsolation :: Maybe Bool
Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
vpcConfig :: Maybe VpcConfig
enableInterContainerTrafficEncryption :: Maybe Bool
Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

Instances

Instances details

Eq NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods (==) :: NetworkConfig -> NetworkConfig -> Bool # (/=) :: NetworkConfig -> NetworkConfig -> Bool #
Read NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods readsPrec :: Int -> ReadS NetworkConfig # readList :: ReadS [NetworkConfig] # readPrec :: ReadPrec NetworkConfig # readListPrec :: ReadPrec [NetworkConfig] #
Show NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods showsPrec :: Int -> NetworkConfig -> ShowS # show :: NetworkConfig -> String # showList :: [NetworkConfig] -> ShowS #
Generic NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Associated Types type Rep NetworkConfig :: Type -> Type # Methods from :: NetworkConfig -> Rep NetworkConfig x # to :: Rep NetworkConfig x -> NetworkConfig #
NFData NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods rnf :: NetworkConfig -> () #
Hashable NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods hashWithSalt :: Int -> NetworkConfig -> Int # hash :: NetworkConfig -> Int #
ToJSON NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods toJSON :: NetworkConfig -> Value # toEncoding :: NetworkConfig -> Encoding # toJSONList :: [NetworkConfig] -> Value # toEncodingList :: [NetworkConfig] -> Encoding #
FromJSON NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig Methods parseJSON :: Value -> Parser NetworkConfig # parseJSONList :: Value -> Parser [NetworkConfig] #
type Rep NetworkConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.NetworkConfig type Rep NetworkConfig = D1 ('MetaData "NetworkConfig" "Amazonka.SageMaker.Types.NetworkConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NetworkConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)) :: S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))))

newNetworkConfig :: NetworkConfig Source #

Create a value of NetworkConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableNetworkIsolation:NetworkConfig', networkConfig_enableNetworkIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

$sel:vpcConfig:NetworkConfig', networkConfig_vpcConfig - Undocumented member.

$sel:enableInterContainerTrafficEncryption:NetworkConfig', networkConfig_enableInterContainerTrafficEncryption - Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

networkConfig_enableNetworkIsolation :: Lens' NetworkConfig (Maybe Bool) Source #

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

networkConfig_vpcConfig :: Lens' NetworkConfig (Maybe VpcConfig) Source #

Undocumented member.

networkConfig_enableInterContainerTrafficEncryption :: Lens' NetworkConfig (Maybe Bool) Source #

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

NotebookInstanceLifecycleConfigSummary

data NotebookInstanceLifecycleConfigSummary Source #

Provides a summary of a notebook instance lifecycle configuration.

See: newNotebookInstanceLifecycleConfigSummary smart constructor.

Constructors

NotebookInstanceLifecycleConfigSummary'

Fields

creationTime :: Maybe POSIX
A timestamp that tells when the lifecycle configuration was created.
lastModifiedTime :: Maybe POSIX
A timestamp that tells when the lifecycle configuration was last modified.
notebookInstanceLifecycleConfigName :: Text
The name of the lifecycle configuration.
notebookInstanceLifecycleConfigArn :: Text
The Amazon Resource Name (ARN) of the lifecycle configuration.

Instances

Instances details

Eq NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Methods (==) :: NotebookInstanceLifecycleConfigSummary -> NotebookInstanceLifecycleConfigSummary -> Bool # (/=) :: NotebookInstanceLifecycleConfigSummary -> NotebookInstanceLifecycleConfigSummary -> Bool #
Read NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Methods readsPrec :: Int -> ReadS NotebookInstanceLifecycleConfigSummary # readList :: ReadS [NotebookInstanceLifecycleConfigSummary] # readPrec :: ReadPrec NotebookInstanceLifecycleConfigSummary # readListPrec :: ReadPrec [NotebookInstanceLifecycleConfigSummary] #
Show NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Methods showsPrec :: Int -> NotebookInstanceLifecycleConfigSummary -> ShowS # show :: NotebookInstanceLifecycleConfigSummary -> String # showList :: [NotebookInstanceLifecycleConfigSummary] -> ShowS #
Generic NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Associated Types type Rep NotebookInstanceLifecycleConfigSummary :: Type -> Type # Methods from :: NotebookInstanceLifecycleConfigSummary -> Rep NotebookInstanceLifecycleConfigSummary x # to :: Rep NotebookInstanceLifecycleConfigSummary x -> NotebookInstanceLifecycleConfigSummary #
NFData NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Methods rnf :: NotebookInstanceLifecycleConfigSummary -> () #
Hashable NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Methods hashWithSalt :: Int -> NotebookInstanceLifecycleConfigSummary -> Int # hash :: NotebookInstanceLifecycleConfigSummary -> Int #
FromJSON NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary Methods parseJSON :: Value -> Parser NotebookInstanceLifecycleConfigSummary # parseJSONList :: Value -> Parser [NotebookInstanceLifecycleConfigSummary] #
type Rep NotebookInstanceLifecycleConfigSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary type Rep NotebookInstanceLifecycleConfigSummary = D1 ('MetaData "NotebookInstanceLifecycleConfigSummary" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NotebookInstanceLifecycleConfigSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "notebookInstanceLifecycleConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "notebookInstanceLifecycleConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newNotebookInstanceLifecycleConfigSummary Source #

Arguments

:: Text	`$sel:notebookInstanceLifecycleConfigName:NotebookInstanceLifecycleConfigSummary'`
-> Text	`$sel:notebookInstanceLifecycleConfigArn:NotebookInstanceLifecycleConfigSummary'`
-> NotebookInstanceLifecycleConfigSummary

Create a value of NotebookInstanceLifecycleConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_creationTime - A timestamp that tells when the lifecycle configuration was created.

$sel:lastModifiedTime:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_lastModifiedTime - A timestamp that tells when the lifecycle configuration was last modified.

$sel:notebookInstanceLifecycleConfigName:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName - The name of the lifecycle configuration.

$sel:notebookInstanceLifecycleConfigArn:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn - The Amazon Resource Name (ARN) of the lifecycle configuration.

notebookInstanceLifecycleConfigSummary_creationTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime) Source #

A timestamp that tells when the lifecycle configuration was created.

notebookInstanceLifecycleConfigSummary_lastModifiedTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime) Source #

A timestamp that tells when the lifecycle configuration was last modified.

notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceLifecycleConfigSummary Text Source #

The name of the lifecycle configuration.

notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn :: Lens' NotebookInstanceLifecycleConfigSummary Text Source #

The Amazon Resource Name (ARN) of the lifecycle configuration.

NotebookInstanceLifecycleHook

data NotebookInstanceLifecycleHook Source #

Contains the notebook instance lifecycle configuration script.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

See: newNotebookInstanceLifecycleHook smart constructor.

Constructors

NotebookInstanceLifecycleHook'
Fields content :: Maybe Text A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.

Instances

Instances details

Eq NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods (==) :: NotebookInstanceLifecycleHook -> NotebookInstanceLifecycleHook -> Bool # (/=) :: NotebookInstanceLifecycleHook -> NotebookInstanceLifecycleHook -> Bool #
Read NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods readsPrec :: Int -> ReadS NotebookInstanceLifecycleHook # readList :: ReadS [NotebookInstanceLifecycleHook] # readPrec :: ReadPrec NotebookInstanceLifecycleHook # readListPrec :: ReadPrec [NotebookInstanceLifecycleHook] #
Show NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods showsPrec :: Int -> NotebookInstanceLifecycleHook -> ShowS # show :: NotebookInstanceLifecycleHook -> String # showList :: [NotebookInstanceLifecycleHook] -> ShowS #
Generic NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Associated Types type Rep NotebookInstanceLifecycleHook :: Type -> Type # Methods from :: NotebookInstanceLifecycleHook -> Rep NotebookInstanceLifecycleHook x # to :: Rep NotebookInstanceLifecycleHook x -> NotebookInstanceLifecycleHook #
NFData NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods rnf :: NotebookInstanceLifecycleHook -> () #
Hashable NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods hashWithSalt :: Int -> NotebookInstanceLifecycleHook -> Int # hash :: NotebookInstanceLifecycleHook -> Int #
ToJSON NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods toJSON :: NotebookInstanceLifecycleHook -> Value # toEncoding :: NotebookInstanceLifecycleHook -> Encoding # toJSONList :: [NotebookInstanceLifecycleHook] -> Value # toEncodingList :: [NotebookInstanceLifecycleHook] -> Encoding #
FromJSON NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook Methods parseJSON :: Value -> Parser NotebookInstanceLifecycleHook # parseJSONList :: Value -> Parser [NotebookInstanceLifecycleHook] #
type Rep NotebookInstanceLifecycleHook Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook type Rep NotebookInstanceLifecycleHook = D1 ('MetaData "NotebookInstanceLifecycleHook" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NotebookInstanceLifecycleHook'" 'PrefixI 'True) (S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newNotebookInstanceLifecycleHook :: NotebookInstanceLifecycleHook Source #

Create a value of NotebookInstanceLifecycleHook with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:content:NotebookInstanceLifecycleHook', notebookInstanceLifecycleHook_content - A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.

notebookInstanceLifecycleHook_content :: Lens' NotebookInstanceLifecycleHook (Maybe Text) Source #

A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.

NotebookInstanceSummary

data NotebookInstanceSummary Source #

Provides summary information for an Amazon SageMaker notebook instance.

See: newNotebookInstanceSummary smart constructor.

Constructors

NotebookInstanceSummary'

Fields

creationTime :: Maybe POSIX
A timestamp that shows when the notebook instance was created.
additionalCodeRepositories :: Maybe [Text]
An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
url :: Maybe Text
The URL that you use to connect to the Jupyter instance running in your notebook instance.
lastModifiedTime :: Maybe POSIX
A timestamp that shows when the notebook instance was last modified.
instanceType :: Maybe InstanceType
The type of ML compute instance that the notebook instance is running on.
notebookInstanceStatus :: Maybe NotebookInstanceStatus
The status of the notebook instance.
defaultCodeRepository :: Maybe Text
The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
notebookInstanceLifecycleConfigName :: Maybe Text
The name of a notebook instance lifecycle configuration associated with this notebook instance.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
notebookInstanceName :: Text
The name of the notebook instance that you want a summary for.
notebookInstanceArn :: Text
The Amazon Resource Name (ARN) of the notebook instance.

Instances

Instances details

Eq NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Methods (==) :: NotebookInstanceSummary -> NotebookInstanceSummary -> Bool # (/=) :: NotebookInstanceSummary -> NotebookInstanceSummary -> Bool #
Read NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Methods readsPrec :: Int -> ReadS NotebookInstanceSummary # readList :: ReadS [NotebookInstanceSummary] # readPrec :: ReadPrec NotebookInstanceSummary # readListPrec :: ReadPrec [NotebookInstanceSummary] #
Show NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Methods showsPrec :: Int -> NotebookInstanceSummary -> ShowS # show :: NotebookInstanceSummary -> String # showList :: [NotebookInstanceSummary] -> ShowS #
Generic NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Associated Types type Rep NotebookInstanceSummary :: Type -> Type # Methods from :: NotebookInstanceSummary -> Rep NotebookInstanceSummary x # to :: Rep NotebookInstanceSummary x -> NotebookInstanceSummary #
NFData NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Methods rnf :: NotebookInstanceSummary -> () #
Hashable NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Methods hashWithSalt :: Int -> NotebookInstanceSummary -> Int # hash :: NotebookInstanceSummary -> Int #
FromJSON NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary Methods parseJSON :: Value -> Parser NotebookInstanceSummary # parseJSONList :: Value -> Parser [NotebookInstanceSummary] #
type Rep NotebookInstanceSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary type Rep NotebookInstanceSummary = D1 ('MetaData "NotebookInstanceSummary" "Amazonka.SageMaker.Types.NotebookInstanceSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NotebookInstanceSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "additionalCodeRepositories") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "url") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InstanceType))))) :: ((S1 ('MetaSel ('Just "notebookInstanceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotebookInstanceStatus)) :: S1 ('MetaSel ('Just "defaultCodeRepository") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "notebookInstanceLifecycleConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "notebookInstanceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "notebookInstanceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newNotebookInstanceSummary Source #

Arguments

:: Text	`$sel:notebookInstanceName:NotebookInstanceSummary'`
-> Text	`$sel:notebookInstanceArn:NotebookInstanceSummary'`
-> NotebookInstanceSummary

Create a value of NotebookInstanceSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:NotebookInstanceSummary', notebookInstanceSummary_creationTime - A timestamp that shows when the notebook instance was created.

$sel:additionalCodeRepositories:NotebookInstanceSummary', notebookInstanceSummary_additionalCodeRepositories - An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.

$sel:url:NotebookInstanceSummary', notebookInstanceSummary_url - The URL that you use to connect to the Jupyter instance running in your notebook instance.

$sel:lastModifiedTime:NotebookInstanceSummary', notebookInstanceSummary_lastModifiedTime - A timestamp that shows when the notebook instance was last modified.

$sel:instanceType:NotebookInstanceSummary', notebookInstanceSummary_instanceType - The type of ML compute instance that the notebook instance is running on.

$sel:notebookInstanceStatus:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceStatus - The status of the notebook instance.

$sel:defaultCodeRepository:NotebookInstanceSummary', notebookInstanceSummary_defaultCodeRepository - The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.

$sel:notebookInstanceLifecycleConfigName:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceLifecycleConfigName - The name of a notebook instance lifecycle configuration associated with this notebook instance.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

$sel:notebookInstanceName:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceName - The name of the notebook instance that you want a summary for.

$sel:notebookInstanceArn:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceArn - The Amazon Resource Name (ARN) of the notebook instance.

notebookInstanceSummary_creationTime :: Lens' NotebookInstanceSummary (Maybe UTCTime) Source #

A timestamp that shows when the notebook instance was created.

notebookInstanceSummary_additionalCodeRepositories :: Lens' NotebookInstanceSummary (Maybe [Text]) Source #

An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.

notebookInstanceSummary_url :: Lens' NotebookInstanceSummary (Maybe Text) Source #

The URL that you use to connect to the Jupyter instance running in your notebook instance.

notebookInstanceSummary_lastModifiedTime :: Lens' NotebookInstanceSummary (Maybe UTCTime) Source #

A timestamp that shows when the notebook instance was last modified.

notebookInstanceSummary_instanceType :: Lens' NotebookInstanceSummary (Maybe InstanceType) Source #

The type of ML compute instance that the notebook instance is running on.

notebookInstanceSummary_notebookInstanceStatus :: Lens' NotebookInstanceSummary (Maybe NotebookInstanceStatus) Source #

The status of the notebook instance.

notebookInstanceSummary_defaultCodeRepository :: Lens' NotebookInstanceSummary (Maybe Text) Source #

The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.

notebookInstanceSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceSummary (Maybe Text) Source #

The name of a notebook instance lifecycle configuration associated with this notebook instance.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

notebookInstanceSummary_notebookInstanceName :: Lens' NotebookInstanceSummary Text Source #

The name of the notebook instance that you want a summary for.

notebookInstanceSummary_notebookInstanceArn :: Lens' NotebookInstanceSummary Text Source #

The Amazon Resource Name (ARN) of the notebook instance.

NotificationConfiguration

data NotificationConfiguration Source #

Configures Amazon SNS notifications of available or expiring work items for work teams.

See: newNotificationConfiguration smart constructor.

Constructors

NotificationConfiguration'
Fields notificationTopicArn :: Maybe Text The ARN for the Amazon SNS topic to which notifications should be published.

Instances

Instances details

Eq NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods (==) :: NotificationConfiguration -> NotificationConfiguration -> Bool # (/=) :: NotificationConfiguration -> NotificationConfiguration -> Bool #
Read NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods readsPrec :: Int -> ReadS NotificationConfiguration # readList :: ReadS [NotificationConfiguration] # readPrec :: ReadPrec NotificationConfiguration # readListPrec :: ReadPrec [NotificationConfiguration] #
Show NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods showsPrec :: Int -> NotificationConfiguration -> ShowS # show :: NotificationConfiguration -> String # showList :: [NotificationConfiguration] -> ShowS #
Generic NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Associated Types type Rep NotificationConfiguration :: Type -> Type # Methods from :: NotificationConfiguration -> Rep NotificationConfiguration x # to :: Rep NotificationConfiguration x -> NotificationConfiguration #
NFData NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods rnf :: NotificationConfiguration -> () #
Hashable NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods hashWithSalt :: Int -> NotificationConfiguration -> Int # hash :: NotificationConfiguration -> Int #
ToJSON NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods toJSON :: NotificationConfiguration -> Value # toEncoding :: NotificationConfiguration -> Encoding # toJSONList :: [NotificationConfiguration] -> Value # toEncodingList :: [NotificationConfiguration] -> Encoding #
FromJSON NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration Methods parseJSON :: Value -> Parser NotificationConfiguration # parseJSONList :: Value -> Parser [NotificationConfiguration] #
type Rep NotificationConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.NotificationConfiguration type Rep NotificationConfiguration = D1 ('MetaData "NotificationConfiguration" "Amazonka.SageMaker.Types.NotificationConfiguration" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "NotificationConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "notificationTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newNotificationConfiguration :: NotificationConfiguration Source #

Create a value of NotificationConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:notificationTopicArn:NotificationConfiguration', notificationConfiguration_notificationTopicArn - The ARN for the Amazon SNS topic to which notifications should be published.

notificationConfiguration_notificationTopicArn :: Lens' NotificationConfiguration (Maybe Text) Source #

The ARN for the Amazon SNS topic to which notifications should be published.

ObjectiveStatusCounters

data ObjectiveStatusCounters Source #

Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.

See: newObjectiveStatusCounters smart constructor.

Constructors

ObjectiveStatusCounters'

Fields

pending :: Maybe Natural
The number of training jobs that are in progress and pending evaluation of their final objective metric.
succeeded :: Maybe Natural
The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
failed :: Maybe Natural
The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

Instances

Instances details

Eq ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Methods (==) :: ObjectiveStatusCounters -> ObjectiveStatusCounters -> Bool # (/=) :: ObjectiveStatusCounters -> ObjectiveStatusCounters -> Bool #
Read ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Methods readsPrec :: Int -> ReadS ObjectiveStatusCounters # readList :: ReadS [ObjectiveStatusCounters] # readPrec :: ReadPrec ObjectiveStatusCounters # readListPrec :: ReadPrec [ObjectiveStatusCounters] #
Show ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Methods showsPrec :: Int -> ObjectiveStatusCounters -> ShowS # show :: ObjectiveStatusCounters -> String # showList :: [ObjectiveStatusCounters] -> ShowS #
Generic ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Associated Types type Rep ObjectiveStatusCounters :: Type -> Type # Methods from :: ObjectiveStatusCounters -> Rep ObjectiveStatusCounters x # to :: Rep ObjectiveStatusCounters x -> ObjectiveStatusCounters #
NFData ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Methods rnf :: ObjectiveStatusCounters -> () #
Hashable ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Methods hashWithSalt :: Int -> ObjectiveStatusCounters -> Int # hash :: ObjectiveStatusCounters -> Int #
FromJSON ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters Methods parseJSON :: Value -> Parser ObjectiveStatusCounters # parseJSONList :: Value -> Parser [ObjectiveStatusCounters] #
type Rep ObjectiveStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters type Rep ObjectiveStatusCounters = D1 ('MetaData "ObjectiveStatusCounters" "Amazonka.SageMaker.Types.ObjectiveStatusCounters" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ObjectiveStatusCounters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "pending") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "succeeded") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "failed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newObjectiveStatusCounters :: ObjectiveStatusCounters Source #

Create a value of ObjectiveStatusCounters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:pending:ObjectiveStatusCounters', objectiveStatusCounters_pending - The number of training jobs that are in progress and pending evaluation of their final objective metric.

$sel:succeeded:ObjectiveStatusCounters', objectiveStatusCounters_succeeded - The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.

$sel:failed:ObjectiveStatusCounters', objectiveStatusCounters_failed - The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

objectiveStatusCounters_pending :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #

The number of training jobs that are in progress and pending evaluation of their final objective metric.

objectiveStatusCounters_succeeded :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #

The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.

objectiveStatusCounters_failed :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #

The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

OfflineStoreConfig

data OfflineStoreConfig Source #

The configuration of an OfflineStore.

Provide an OfflineStoreConfig in a request to CreateFeatureGroup to create an OfflineStore.

To encrypt an OfflineStore using at rest data encryption, specify Amazon Web Services Key Management Service (KMS) key ID, or KMSKeyId, in S3StorageConfig.

See: newOfflineStoreConfig smart constructor.

Constructors

OfflineStoreConfig'

Fields

disableGlueTableCreation :: Maybe Bool
Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore.
dataCatalogConfig :: Maybe DataCatalogConfig
The meta data of the Glue table that is autogenerated when an OfflineStore is created.
s3StorageConfig :: S3StorageConfig
The Amazon Simple Storage (Amazon S3) location of OfflineStore.

Instances

Instances details

Eq OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods (==) :: OfflineStoreConfig -> OfflineStoreConfig -> Bool # (/=) :: OfflineStoreConfig -> OfflineStoreConfig -> Bool #
Read OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods readsPrec :: Int -> ReadS OfflineStoreConfig # readList :: ReadS [OfflineStoreConfig] # readPrec :: ReadPrec OfflineStoreConfig # readListPrec :: ReadPrec [OfflineStoreConfig] #
Show OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods showsPrec :: Int -> OfflineStoreConfig -> ShowS # show :: OfflineStoreConfig -> String # showList :: [OfflineStoreConfig] -> ShowS #
Generic OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Associated Types type Rep OfflineStoreConfig :: Type -> Type # Methods from :: OfflineStoreConfig -> Rep OfflineStoreConfig x # to :: Rep OfflineStoreConfig x -> OfflineStoreConfig #
NFData OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods rnf :: OfflineStoreConfig -> () #
Hashable OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods hashWithSalt :: Int -> OfflineStoreConfig -> Int # hash :: OfflineStoreConfig -> Int #
ToJSON OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods toJSON :: OfflineStoreConfig -> Value # toEncoding :: OfflineStoreConfig -> Encoding # toJSONList :: [OfflineStoreConfig] -> Value # toEncodingList :: [OfflineStoreConfig] -> Encoding #
FromJSON OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig Methods parseJSON :: Value -> Parser OfflineStoreConfig # parseJSONList :: Value -> Parser [OfflineStoreConfig] #
type Rep OfflineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreConfig type Rep OfflineStoreConfig = D1 ('MetaData "OfflineStoreConfig" "Amazonka.SageMaker.Types.OfflineStoreConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OfflineStoreConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "disableGlueTableCreation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: (S1 ('MetaSel ('Just "dataCatalogConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataCatalogConfig)) :: S1 ('MetaSel ('Just "s3StorageConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3StorageConfig))))

newOfflineStoreConfig Source #

Arguments

:: S3StorageConfig	`$sel:s3StorageConfig:OfflineStoreConfig'`
-> OfflineStoreConfig

Create a value of OfflineStoreConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:disableGlueTableCreation:OfflineStoreConfig', offlineStoreConfig_disableGlueTableCreation - Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore.

$sel:dataCatalogConfig:OfflineStoreConfig', offlineStoreConfig_dataCatalogConfig - The meta data of the Glue table that is autogenerated when an OfflineStore is created.

$sel:s3StorageConfig:OfflineStoreConfig', offlineStoreConfig_s3StorageConfig - The Amazon Simple Storage (Amazon S3) location of OfflineStore.

offlineStoreConfig_disableGlueTableCreation :: Lens' OfflineStoreConfig (Maybe Bool) Source #

Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore.

offlineStoreConfig_dataCatalogConfig :: Lens' OfflineStoreConfig (Maybe DataCatalogConfig) Source #

The meta data of the Glue table that is autogenerated when an OfflineStore is created.

offlineStoreConfig_s3StorageConfig :: Lens' OfflineStoreConfig S3StorageConfig Source #

The Amazon Simple Storage (Amazon S3) location of OfflineStore.

OfflineStoreStatus

data OfflineStoreStatus Source #

The status of OfflineStore.

See: newOfflineStoreStatus smart constructor.

Constructors

OfflineStoreStatus'
Fields blockedReason :: Maybe Text The justification for why the OfflineStoreStatus is Blocked (if applicable). status :: OfflineStoreStatusValue An `OfflineStore` status.

Instances

Instances details

Eq OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Methods (==) :: OfflineStoreStatus -> OfflineStoreStatus -> Bool # (/=) :: OfflineStoreStatus -> OfflineStoreStatus -> Bool #
Read OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Methods readsPrec :: Int -> ReadS OfflineStoreStatus # readList :: ReadS [OfflineStoreStatus] # readPrec :: ReadPrec OfflineStoreStatus # readListPrec :: ReadPrec [OfflineStoreStatus] #
Show OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Methods showsPrec :: Int -> OfflineStoreStatus -> ShowS # show :: OfflineStoreStatus -> String # showList :: [OfflineStoreStatus] -> ShowS #
Generic OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Associated Types type Rep OfflineStoreStatus :: Type -> Type # Methods from :: OfflineStoreStatus -> Rep OfflineStoreStatus x # to :: Rep OfflineStoreStatus x -> OfflineStoreStatus #
NFData OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Methods rnf :: OfflineStoreStatus -> () #
Hashable OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Methods hashWithSalt :: Int -> OfflineStoreStatus -> Int # hash :: OfflineStoreStatus -> Int #
FromJSON OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus Methods parseJSON :: Value -> Parser OfflineStoreStatus # parseJSONList :: Value -> Parser [OfflineStoreStatus] #
type Rep OfflineStoreStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.OfflineStoreStatus type Rep OfflineStoreStatus = D1 ('MetaData "OfflineStoreStatus" "Amazonka.SageMaker.Types.OfflineStoreStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OfflineStoreStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "blockedReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OfflineStoreStatusValue)))

newOfflineStoreStatus Source #

Arguments

:: OfflineStoreStatusValue	`$sel:status:OfflineStoreStatus'`
-> OfflineStoreStatus

Create a value of OfflineStoreStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:blockedReason:OfflineStoreStatus', offlineStoreStatus_blockedReason - The justification for why the OfflineStoreStatus is Blocked (if applicable).

$sel:status:OfflineStoreStatus', offlineStoreStatus_status - An OfflineStore status.

offlineStoreStatus_blockedReason :: Lens' OfflineStoreStatus (Maybe Text) Source #

The justification for why the OfflineStoreStatus is Blocked (if applicable).

offlineStoreStatus_status :: Lens' OfflineStoreStatus OfflineStoreStatusValue Source #

An OfflineStore status.

OidcConfig

data OidcConfig Source #

Use this parameter to configure your OIDC Identity Provider (IdP).

See: newOidcConfig smart constructor.

Constructors

OidcConfig'

Fields

clientId :: Text
The OIDC IdP client ID used to configure your private workforce.
clientSecret :: Sensitive Text
The OIDC IdP client secret used to configure your private workforce.
issuer :: Text
The OIDC IdP issuer used to configure your private workforce.
authorizationEndpoint :: Text
The OIDC IdP authorization endpoint used to configure your private workforce.
tokenEndpoint :: Text
The OIDC IdP token endpoint used to configure your private workforce.
userInfoEndpoint :: Text
The OIDC IdP user information endpoint used to configure your private workforce.
logoutEndpoint :: Text
The OIDC IdP logout endpoint used to configure your private workforce.
jwksUri :: Text
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

Instances

Instances details

Eq OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig Methods (==) :: OidcConfig -> OidcConfig -> Bool # (/=) :: OidcConfig -> OidcConfig -> Bool #
Show OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig Methods showsPrec :: Int -> OidcConfig -> ShowS # show :: OidcConfig -> String # showList :: [OidcConfig] -> ShowS #
Generic OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig Associated Types type Rep OidcConfig :: Type -> Type # Methods from :: OidcConfig -> Rep OidcConfig x # to :: Rep OidcConfig x -> OidcConfig #
NFData OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig Methods rnf :: OidcConfig -> () #
Hashable OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig Methods hashWithSalt :: Int -> OidcConfig -> Int # hash :: OidcConfig -> Int #
ToJSON OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig Methods toJSON :: OidcConfig -> Value # toEncoding :: OidcConfig -> Encoding # toJSONList :: [OidcConfig] -> Value # toEncodingList :: [OidcConfig] -> Encoding #
type Rep OidcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfig type Rep OidcConfig = D1 ('MetaData "OidcConfig" "Amazonka.SageMaker.Types.OidcConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OidcConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "clientSecret") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Sensitive Text))) :: (S1 ('MetaSel ('Just "issuer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "authorizationEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "tokenEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "userInfoEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "logoutEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "jwksUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newOidcConfig Source #

Arguments

:: Text	`$sel:clientId:OidcConfig'`
-> Text	`$sel:clientSecret:OidcConfig'`
-> Text	`$sel:issuer:OidcConfig'`
-> Text	`$sel:authorizationEndpoint:OidcConfig'`
-> Text	`$sel:tokenEndpoint:OidcConfig'`
-> Text	`$sel:userInfoEndpoint:OidcConfig'`
-> Text	`$sel:logoutEndpoint:OidcConfig'`
-> Text	`$sel:jwksUri:OidcConfig'`
-> OidcConfig

Create a value of OidcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientId:OidcConfig', oidcConfig_clientId - The OIDC IdP client ID used to configure your private workforce.

$sel:clientSecret:OidcConfig', oidcConfig_clientSecret - The OIDC IdP client secret used to configure your private workforce.

$sel:issuer:OidcConfig', oidcConfig_issuer - The OIDC IdP issuer used to configure your private workforce.

$sel:authorizationEndpoint:OidcConfig', oidcConfig_authorizationEndpoint - The OIDC IdP authorization endpoint used to configure your private workforce.

$sel:tokenEndpoint:OidcConfig', oidcConfig_tokenEndpoint - The OIDC IdP token endpoint used to configure your private workforce.

$sel:userInfoEndpoint:OidcConfig', oidcConfig_userInfoEndpoint - The OIDC IdP user information endpoint used to configure your private workforce.

$sel:logoutEndpoint:OidcConfig', oidcConfig_logoutEndpoint - The OIDC IdP logout endpoint used to configure your private workforce.

$sel:jwksUri:OidcConfig', oidcConfig_jwksUri - The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

oidcConfig_clientId :: Lens' OidcConfig Text Source #

The OIDC IdP client ID used to configure your private workforce.

oidcConfig_clientSecret :: Lens' OidcConfig Text Source #

The OIDC IdP client secret used to configure your private workforce.

oidcConfig_issuer :: Lens' OidcConfig Text Source #

The OIDC IdP issuer used to configure your private workforce.

oidcConfig_authorizationEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP authorization endpoint used to configure your private workforce.

oidcConfig_tokenEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP token endpoint used to configure your private workforce.

oidcConfig_userInfoEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP user information endpoint used to configure your private workforce.

oidcConfig_logoutEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP logout endpoint used to configure your private workforce.

oidcConfig_jwksUri :: Lens' OidcConfig Text Source #

The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

OidcConfigForResponse

data OidcConfigForResponse Source #

Your OIDC IdP workforce configuration.

See: newOidcConfigForResponse smart constructor.

Constructors

OidcConfigForResponse'

Fields

clientId :: Maybe Text
The OIDC IdP client ID used to configure your private workforce.
jwksUri :: Maybe Text
The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.
userInfoEndpoint :: Maybe Text
The OIDC IdP user information endpoint used to configure your private workforce.
authorizationEndpoint :: Maybe Text
The OIDC IdP authorization endpoint used to configure your private workforce.
tokenEndpoint :: Maybe Text
The OIDC IdP token endpoint used to configure your private workforce.
issuer :: Maybe Text
The OIDC IdP issuer used to configure your private workforce.
logoutEndpoint :: Maybe Text
The OIDC IdP logout endpoint used to configure your private workforce.

Instances

Instances details

Eq OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Methods (==) :: OidcConfigForResponse -> OidcConfigForResponse -> Bool # (/=) :: OidcConfigForResponse -> OidcConfigForResponse -> Bool #
Read OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Methods readsPrec :: Int -> ReadS OidcConfigForResponse # readList :: ReadS [OidcConfigForResponse] # readPrec :: ReadPrec OidcConfigForResponse # readListPrec :: ReadPrec [OidcConfigForResponse] #
Show OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Methods showsPrec :: Int -> OidcConfigForResponse -> ShowS # show :: OidcConfigForResponse -> String # showList :: [OidcConfigForResponse] -> ShowS #
Generic OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Associated Types type Rep OidcConfigForResponse :: Type -> Type # Methods from :: OidcConfigForResponse -> Rep OidcConfigForResponse x # to :: Rep OidcConfigForResponse x -> OidcConfigForResponse #
NFData OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Methods rnf :: OidcConfigForResponse -> () #
Hashable OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Methods hashWithSalt :: Int -> OidcConfigForResponse -> Int # hash :: OidcConfigForResponse -> Int #
FromJSON OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse Methods parseJSON :: Value -> Parser OidcConfigForResponse # parseJSONList :: Value -> Parser [OidcConfigForResponse] #
type Rep OidcConfigForResponse Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcConfigForResponse type Rep OidcConfigForResponse = D1 ('MetaData "OidcConfigForResponse" "Amazonka.SageMaker.Types.OidcConfigForResponse" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OidcConfigForResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "jwksUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "userInfoEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "authorizationEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tokenEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "issuer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "logoutEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newOidcConfigForResponse :: OidcConfigForResponse Source #

Create a value of OidcConfigForResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientId:OidcConfigForResponse', oidcConfigForResponse_clientId - The OIDC IdP client ID used to configure your private workforce.

$sel:jwksUri:OidcConfigForResponse', oidcConfigForResponse_jwksUri - The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

$sel:userInfoEndpoint:OidcConfigForResponse', oidcConfigForResponse_userInfoEndpoint - The OIDC IdP user information endpoint used to configure your private workforce.

$sel:authorizationEndpoint:OidcConfigForResponse', oidcConfigForResponse_authorizationEndpoint - The OIDC IdP authorization endpoint used to configure your private workforce.

$sel:tokenEndpoint:OidcConfigForResponse', oidcConfigForResponse_tokenEndpoint - The OIDC IdP token endpoint used to configure your private workforce.

$sel:issuer:OidcConfigForResponse', oidcConfigForResponse_issuer - The OIDC IdP issuer used to configure your private workforce.

$sel:logoutEndpoint:OidcConfigForResponse', oidcConfigForResponse_logoutEndpoint - The OIDC IdP logout endpoint used to configure your private workforce.

oidcConfigForResponse_clientId :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP client ID used to configure your private workforce.

oidcConfigForResponse_jwksUri :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

oidcConfigForResponse_userInfoEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP user information endpoint used to configure your private workforce.

oidcConfigForResponse_authorizationEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP authorization endpoint used to configure your private workforce.

oidcConfigForResponse_tokenEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP token endpoint used to configure your private workforce.

oidcConfigForResponse_issuer :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP issuer used to configure your private workforce.

oidcConfigForResponse_logoutEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP logout endpoint used to configure your private workforce.

OidcMemberDefinition

data OidcMemberDefinition Source #

A list of user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

See: newOidcMemberDefinition smart constructor.

Constructors

OidcMemberDefinition'
Fields groups :: NonEmpty Text A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.

Instances

Instances details

Eq OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods (==) :: OidcMemberDefinition -> OidcMemberDefinition -> Bool # (/=) :: OidcMemberDefinition -> OidcMemberDefinition -> Bool #
Read OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods readsPrec :: Int -> ReadS OidcMemberDefinition # readList :: ReadS [OidcMemberDefinition] # readPrec :: ReadPrec OidcMemberDefinition # readListPrec :: ReadPrec [OidcMemberDefinition] #
Show OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods showsPrec :: Int -> OidcMemberDefinition -> ShowS # show :: OidcMemberDefinition -> String # showList :: [OidcMemberDefinition] -> ShowS #
Generic OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Associated Types type Rep OidcMemberDefinition :: Type -> Type # Methods from :: OidcMemberDefinition -> Rep OidcMemberDefinition x # to :: Rep OidcMemberDefinition x -> OidcMemberDefinition #
NFData OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods rnf :: OidcMemberDefinition -> () #
Hashable OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods hashWithSalt :: Int -> OidcMemberDefinition -> Int # hash :: OidcMemberDefinition -> Int #
ToJSON OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods toJSON :: OidcMemberDefinition -> Value # toEncoding :: OidcMemberDefinition -> Encoding # toJSONList :: [OidcMemberDefinition] -> Value # toEncodingList :: [OidcMemberDefinition] -> Encoding #
FromJSON OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition Methods parseJSON :: Value -> Parser OidcMemberDefinition # parseJSONList :: Value -> Parser [OidcMemberDefinition] #
type Rep OidcMemberDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.OidcMemberDefinition type Rep OidcMemberDefinition = D1 ('MetaData "OidcMemberDefinition" "Amazonka.SageMaker.Types.OidcMemberDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OidcMemberDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newOidcMemberDefinition Source #

Arguments

:: NonEmpty Text	`$sel:groups:OidcMemberDefinition'`
-> OidcMemberDefinition

Create a value of OidcMemberDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:groups:OidcMemberDefinition', oidcMemberDefinition_groups - A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.

oidcMemberDefinition_groups :: Lens' OidcMemberDefinition (NonEmpty Text) Source #

A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.

OnlineStoreConfig

data OnlineStoreConfig Source #

Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or KMSKeyId, for at rest data encryption. You can turn OnlineStore on or off by specifying the EnableOnlineStore flag at General Assembly; the default value is False.

See: newOnlineStoreConfig smart constructor.

Constructors

OnlineStoreConfig'
Fields securityConfig :: Maybe OnlineStoreSecurityConfig Use to specify KMS Key ID (`KMSKeyId`) for at-rest encryption of your `OnlineStore`. enableOnlineStore :: Maybe Bool Turn `OnlineStore` off by specifying `False` for the `EnableOnlineStore` flag. Turn `OnlineStore` on by specifying `True` for the `EnableOnlineStore` flag. The default value is `False`.

Instances

Instances details

Eq OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods (==) :: OnlineStoreConfig -> OnlineStoreConfig -> Bool # (/=) :: OnlineStoreConfig -> OnlineStoreConfig -> Bool #
Read OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods readsPrec :: Int -> ReadS OnlineStoreConfig # readList :: ReadS [OnlineStoreConfig] # readPrec :: ReadPrec OnlineStoreConfig # readListPrec :: ReadPrec [OnlineStoreConfig] #
Show OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods showsPrec :: Int -> OnlineStoreConfig -> ShowS # show :: OnlineStoreConfig -> String # showList :: [OnlineStoreConfig] -> ShowS #
Generic OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Associated Types type Rep OnlineStoreConfig :: Type -> Type # Methods from :: OnlineStoreConfig -> Rep OnlineStoreConfig x # to :: Rep OnlineStoreConfig x -> OnlineStoreConfig #
NFData OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods rnf :: OnlineStoreConfig -> () #
Hashable OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods hashWithSalt :: Int -> OnlineStoreConfig -> Int # hash :: OnlineStoreConfig -> Int #
ToJSON OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods toJSON :: OnlineStoreConfig -> Value # toEncoding :: OnlineStoreConfig -> Encoding # toJSONList :: [OnlineStoreConfig] -> Value # toEncodingList :: [OnlineStoreConfig] -> Encoding #
FromJSON OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig Methods parseJSON :: Value -> Parser OnlineStoreConfig # parseJSONList :: Value -> Parser [OnlineStoreConfig] #
type Rep OnlineStoreConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreConfig type Rep OnlineStoreConfig = D1 ('MetaData "OnlineStoreConfig" "Amazonka.SageMaker.Types.OnlineStoreConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OnlineStoreConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OnlineStoreSecurityConfig)) :*: S1 ('MetaSel ('Just "enableOnlineStore") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newOnlineStoreConfig :: OnlineStoreConfig Source #

Create a value of OnlineStoreConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityConfig:OnlineStoreConfig', onlineStoreConfig_securityConfig - Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.

$sel:enableOnlineStore:OnlineStoreConfig', onlineStoreConfig_enableOnlineStore - Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.

The default value is False.

onlineStoreConfig_securityConfig :: Lens' OnlineStoreConfig (Maybe OnlineStoreSecurityConfig) Source #

Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.

onlineStoreConfig_enableOnlineStore :: Lens' OnlineStoreConfig (Maybe Bool) Source #

Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.

The default value is False.

OnlineStoreSecurityConfig

data OnlineStoreSecurityConfig Source #

The security configuration for OnlineStore.

See: newOnlineStoreSecurityConfig smart constructor.

Constructors

OnlineStoreSecurityConfig'

Fields

kmsKeyId :: Maybe Text
The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.
The caller (either IAM user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:
- ```
"kms:Encrypt"
```
- ```
"kms:Decrypt"
```
- ```
"kms:DescribeKey"
```
- ```
"kms:CreateGrant"
```
- ```
"kms:RetireGrant"
```
- ```
"kms:ReEncryptFrom"
```
- ```
"kms:ReEncryptTo"
```
- ```
"kms:GenerateDataKey"
```
- ```
"kms:ListAliases"
```
- ```
"kms:ListGrants"
```
- ```
"kms:RevokeGrant"
```
The caller (either IAM user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:
- ```
"kms:Decrypt"
```

Instances

Instances details

Eq OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods (==) :: OnlineStoreSecurityConfig -> OnlineStoreSecurityConfig -> Bool # (/=) :: OnlineStoreSecurityConfig -> OnlineStoreSecurityConfig -> Bool #
Read OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods readsPrec :: Int -> ReadS OnlineStoreSecurityConfig # readList :: ReadS [OnlineStoreSecurityConfig] # readPrec :: ReadPrec OnlineStoreSecurityConfig # readListPrec :: ReadPrec [OnlineStoreSecurityConfig] #
Show OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods showsPrec :: Int -> OnlineStoreSecurityConfig -> ShowS # show :: OnlineStoreSecurityConfig -> String # showList :: [OnlineStoreSecurityConfig] -> ShowS #
Generic OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Associated Types type Rep OnlineStoreSecurityConfig :: Type -> Type # Methods from :: OnlineStoreSecurityConfig -> Rep OnlineStoreSecurityConfig x # to :: Rep OnlineStoreSecurityConfig x -> OnlineStoreSecurityConfig #
NFData OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods rnf :: OnlineStoreSecurityConfig -> () #
Hashable OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods hashWithSalt :: Int -> OnlineStoreSecurityConfig -> Int # hash :: OnlineStoreSecurityConfig -> Int #
ToJSON OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods toJSON :: OnlineStoreSecurityConfig -> Value # toEncoding :: OnlineStoreSecurityConfig -> Encoding # toJSONList :: [OnlineStoreSecurityConfig] -> Value # toEncodingList :: [OnlineStoreSecurityConfig] -> Encoding #
FromJSON OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig Methods parseJSON :: Value -> Parser OnlineStoreSecurityConfig # parseJSONList :: Value -> Parser [OnlineStoreSecurityConfig] #
type Rep OnlineStoreSecurityConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig type Rep OnlineStoreSecurityConfig = D1 ('MetaData "OnlineStoreSecurityConfig" "Amazonka.SageMaker.Types.OnlineStoreSecurityConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OnlineStoreSecurityConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newOnlineStoreSecurityConfig :: OnlineStoreSecurityConfig Source #

Create a value of OnlineStoreSecurityConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:OnlineStoreSecurityConfig', onlineStoreSecurityConfig_kmsKeyId - The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.

The caller (either IAM user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:

```
"kms:Encrypt"
```
```
"kms:Decrypt"
```
```
"kms:DescribeKey"
```
```
"kms:CreateGrant"
```
```
"kms:RetireGrant"
```
```
"kms:ReEncryptFrom"
```
```
"kms:ReEncryptTo"
```
```
"kms:GenerateDataKey"
```
```
"kms:ListAliases"
```
```
"kms:ListGrants"
```
```
"kms:RevokeGrant"
```

The caller (either IAM user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:

```
"kms:Decrypt"
```

onlineStoreSecurityConfig_kmsKeyId :: Lens' OnlineStoreSecurityConfig (Maybe Text) Source #

The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.

The caller (either IAM user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:

```
"kms:Encrypt"
```
```
"kms:Decrypt"
```
```
"kms:DescribeKey"
```
```
"kms:CreateGrant"
```
```
"kms:RetireGrant"
```
```
"kms:ReEncryptFrom"
```
```
"kms:ReEncryptTo"
```
```
"kms:GenerateDataKey"
```
```
"kms:ListAliases"
```
```
"kms:ListGrants"
```
```
"kms:RevokeGrant"
```

The caller (either IAM user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:

```
"kms:Decrypt"
```

OutputConfig

data OutputConfig Source #

Contains information about the output location for the compiled model and the target device that the model runs on. TargetDevice and TargetPlatform are mutually exclusive, so you need to choose one between the two to specify your target device or platform. If you cannot find your device you want to use from the TargetDevice list, use TargetPlatform to describe the platform of your edge device and CompilerOptions if there are specific settings that are required or recommended to use for particular TargetPlatform.

See: newOutputConfig smart constructor.

Constructors

OutputConfig'

Fields

targetPlatform :: Maybe TargetPlatform

Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:

Raspberry Pi 3 Model B+

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},

 "CompilerOptions": {'mattr': ['+neon']}

Jetson TX2

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},

 "CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}

EC2 m5.2xlarge instance OS

"TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},

 "CompilerOptions": {'mcpu': 'skylake-avx512'}

RK3399

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}

ARMv7 phone (CPU)

"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},

 "CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}

ARMv8 phone (CPU)

"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},

 "CompilerOptions": {'ANDROID_PLATFORM': 29}

kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KmsKeyId can be any of the following formats:
- Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name: alias/ExampleAlias
- Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
compilerOptions :: Maybe Text
Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.
- DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model's input. "float32" is used if "DTYPE" is not specified. Options for data type are:
  - float32: Use either "float" or "float32".
  - int64: Use either "int64" or "long".
  For example, {"dtype" : "float32"}.
- CPU: Compilation for CPU supports the following compiler options.
  - mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
  - mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
- ARM: Details of ARM CPU compilations.
  - NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.
    For example, add {'mattr': ['+neon']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.
- NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.
  - gpu_code: Specifies the targeted architecture.
  - trt-ver: Specifies the TensorRT versions in x.y.z. format.
  - cuda-ver: Specifies the CUDA version in x.y format.
  For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}
- ANDROID: Compilation for the Android OS supports the following compiler options:
  - ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {'ANDROID_PLATFORM': 28}.
  - mattr: Add {'mattr': ['+neon']} to compiler options if compiling for ARM 32-bit platform with NEON support.
- INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\"".
  For information about supported compiler options, see Neuron Compiler CLI.
- CoreML: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:
  - class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.
- EIA: Compilation for the Elastic Inference Accelerator supports the following compiler options:
  - precision_mode: Specifies the precision of compiled artifacts. Supported values are "FP16" and "FP32". Default is "FP32".
  - signature_def_key: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.
  - output_names: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either: signature_def_key or output_names.
  For example: {"precision_mode": "FP32", "output_names": ["output:0"]}
targetDevice :: Maybe TargetDevice
Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.
s3OutputLocation :: Text
Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

Instances

Instances details

Eq OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods (==) :: OutputConfig -> OutputConfig -> Bool # (/=) :: OutputConfig -> OutputConfig -> Bool #
Read OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods readsPrec :: Int -> ReadS OutputConfig # readList :: ReadS [OutputConfig] # readPrec :: ReadPrec OutputConfig # readListPrec :: ReadPrec [OutputConfig] #
Show OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods showsPrec :: Int -> OutputConfig -> ShowS # show :: OutputConfig -> String # showList :: [OutputConfig] -> ShowS #
Generic OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Associated Types type Rep OutputConfig :: Type -> Type # Methods from :: OutputConfig -> Rep OutputConfig x # to :: Rep OutputConfig x -> OutputConfig #
NFData OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods rnf :: OutputConfig -> () #
Hashable OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods hashWithSalt :: Int -> OutputConfig -> Int # hash :: OutputConfig -> Int #
ToJSON OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods toJSON :: OutputConfig -> Value # toEncoding :: OutputConfig -> Encoding # toJSONList :: [OutputConfig] -> Value # toEncodingList :: [OutputConfig] -> Encoding #
FromJSON OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig Methods parseJSON :: Value -> Parser OutputConfig # parseJSONList :: Value -> Parser [OutputConfig] #
type Rep OutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputConfig type Rep OutputConfig = D1 ('MetaData "OutputConfig" "Amazonka.SageMaker.Types.OutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OutputConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "targetPlatform") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatform)) :: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "compilerOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "targetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetDevice)) :: S1 ('MetaSel ('Just "s3OutputLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newOutputConfig Source #

Arguments

:: Text	`$sel:s3OutputLocation:OutputConfig'`
-> OutputConfig

Create a value of OutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:targetPlatform:OutputConfig', outputConfig_targetPlatform - Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:

Raspberry Pi 3 Model B+

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},

 "CompilerOptions": {'mattr': ['+neon']}

Jetson TX2

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},

 "CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}

EC2 m5.2xlarge instance OS

"TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},

 "CompilerOptions": {'mcpu': 'skylake-avx512'}

RK3399

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}

ARMv7 phone (CPU)

"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},

 "CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}

ARMv8 phone (CPU)

"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},

 "CompilerOptions": {'ANDROID_PLATFORM': 29}

$sel:kmsKeyId:OutputConfig', outputConfig_kmsKeyId - The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KmsKeyId can be any of the following formats:

Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

$sel:compilerOptions:OutputConfig', outputConfig_compilerOptions - Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.

DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model's input. "float32" is used if "DTYPE" is not specified. Options for data type are:
- float32: Use either "float" or "float32".
- int64: Use either "int64" or "long".
For example, {"dtype" : "float32"}.
CPU: Compilation for CPU supports the following compiler options.
- mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
- mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
ARM: Details of ARM CPU compilations.
- NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.
  For example, add {'mattr': ['+neon']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.
NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.
- gpu_code: Specifies the targeted architecture.
- trt-ver: Specifies the TensorRT versions in x.y.z. format.
- cuda-ver: Specifies the CUDA version in x.y format.
For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}
ANDROID: Compilation for the Android OS supports the following compiler options:
- ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {'ANDROID_PLATFORM': 28}.
- mattr: Add {'mattr': ['+neon']} to compiler options if compiling for ARM 32-bit platform with NEON support.
INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\"".
For information about supported compiler options, see Neuron Compiler CLI.
CoreML: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:
- class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.
EIA: Compilation for the Elastic Inference Accelerator supports the following compiler options:
- precision_mode: Specifies the precision of compiled artifacts. Supported values are "FP16" and "FP32". Default is "FP32".
- signature_def_key: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.
- output_names: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either: signature_def_key or output_names.
For example: {"precision_mode": "FP32", "output_names": ["output:0"]}

$sel:targetDevice:OutputConfig', outputConfig_targetDevice - Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.

$sel:s3OutputLocation:OutputConfig', outputConfig_s3OutputLocation - Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

outputConfig_targetPlatform :: Lens' OutputConfig (Maybe TargetPlatform) Source #

Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:

Raspberry Pi 3 Model B+

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},

 "CompilerOptions": {'mattr': ['+neon']}

Jetson TX2

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},

 "CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}

EC2 m5.2xlarge instance OS

"TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},

 "CompilerOptions": {'mcpu': 'skylake-avx512'}

RK3399

"TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}

ARMv7 phone (CPU)

"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},

 "CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}

ARMv8 phone (CPU)

"TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},

 "CompilerOptions": {'ANDROID_PLATFORM': 29}

outputConfig_kmsKeyId :: Lens' OutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KmsKeyId can be any of the following formats:

Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

outputConfig_compilerOptions :: Lens' OutputConfig (Maybe Text) Source #

Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.

DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model's input. "float32" is used if "DTYPE" is not specified. Options for data type are:
- float32: Use either "float" or "float32".
- int64: Use either "int64" or "long".
For example, {"dtype" : "float32"}.
CPU: Compilation for CPU supports the following compiler options.
- mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
- mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
ARM: Details of ARM CPU compilations.
- NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.
  For example, add {'mattr': ['+neon']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.
NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.
- gpu_code: Specifies the targeted architecture.
- trt-ver: Specifies the TensorRT versions in x.y.z. format.
- cuda-ver: Specifies the CUDA version in x.y format.
For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}
ANDROID: Compilation for the Android OS supports the following compiler options:
- ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {'ANDROID_PLATFORM': 28}.
- mattr: Add {'mattr': ['+neon']} to compiler options if compiling for ARM 32-bit platform with NEON support.
INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\"".
For information about supported compiler options, see Neuron Compiler CLI.
CoreML: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:
- class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.
EIA: Compilation for the Elastic Inference Accelerator supports the following compiler options:
- precision_mode: Specifies the precision of compiled artifacts. Supported values are "FP16" and "FP32". Default is "FP32".
- signature_def_key: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.
- output_names: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either: signature_def_key or output_names.
For example: {"precision_mode": "FP32", "output_names": ["output:0"]}

outputConfig_targetDevice :: Lens' OutputConfig (Maybe TargetDevice) Source #

Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.

outputConfig_s3OutputLocation :: Lens' OutputConfig Text Source #

Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

OutputDataConfig

data OutputDataConfig Source #

Provides information about how to store model training results (model artifacts).

See: newOutputDataConfig smart constructor.

Constructors

OutputDataConfig'

Fields

kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
- // KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```
- // Amazon Resource Name (ARN) of a KMS Key
```
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
```
- // KMS Key Alias
```
"alias/ExampleAlias"
```
- // Amazon Resource Name (ARN) of a KMS Key Alias
```
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
```
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
s3OutputPath :: Text
Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

Instances

Instances details

Eq OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods (==) :: OutputDataConfig -> OutputDataConfig -> Bool # (/=) :: OutputDataConfig -> OutputDataConfig -> Bool #
Read OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods readsPrec :: Int -> ReadS OutputDataConfig # readList :: ReadS [OutputDataConfig] # readPrec :: ReadPrec OutputDataConfig # readListPrec :: ReadPrec [OutputDataConfig] #
Show OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods showsPrec :: Int -> OutputDataConfig -> ShowS # show :: OutputDataConfig -> String # showList :: [OutputDataConfig] -> ShowS #
Generic OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Associated Types type Rep OutputDataConfig :: Type -> Type # Methods from :: OutputDataConfig -> Rep OutputDataConfig x # to :: Rep OutputDataConfig x -> OutputDataConfig #
NFData OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods rnf :: OutputDataConfig -> () #
Hashable OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods hashWithSalt :: Int -> OutputDataConfig -> Int # hash :: OutputDataConfig -> Int #
ToJSON OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods toJSON :: OutputDataConfig -> Value # toEncoding :: OutputDataConfig -> Encoding # toJSONList :: [OutputDataConfig] -> Value # toEncodingList :: [OutputDataConfig] -> Encoding #
FromJSON OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig Methods parseJSON :: Value -> Parser OutputDataConfig # parseJSONList :: Value -> Parser [OutputDataConfig] #
type Rep OutputDataConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputDataConfig type Rep OutputDataConfig = D1 ('MetaData "OutputDataConfig" "Amazonka.SageMaker.Types.OutputDataConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OutputDataConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newOutputDataConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:OutputDataConfig'`
-> OutputDataConfig

Create a value of OutputDataConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:OutputDataConfig', outputDataConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

// KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

// KMS Key Alias
```
"alias/ExampleAlias"
```

// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

$sel:s3OutputPath:OutputDataConfig', outputDataConfig_s3OutputPath - Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

outputDataConfig_kmsKeyId :: Lens' OutputDataConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

// KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

// KMS Key Alias
```
"alias/ExampleAlias"
```

// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

outputDataConfig_s3OutputPath :: Lens' OutputDataConfig Text Source #

Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

OutputParameter

data OutputParameter Source #

An output parameter of a pipeline step.

See: newOutputParameter smart constructor.

Constructors

OutputParameter'
Fields name :: Text The name of the output parameter. value :: Text The value of the output parameter.

Instances

Instances details

Eq OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods (==) :: OutputParameter -> OutputParameter -> Bool # (/=) :: OutputParameter -> OutputParameter -> Bool #
Read OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods readsPrec :: Int -> ReadS OutputParameter # readList :: ReadS [OutputParameter] # readPrec :: ReadPrec OutputParameter # readListPrec :: ReadPrec [OutputParameter] #
Show OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods showsPrec :: Int -> OutputParameter -> ShowS # show :: OutputParameter -> String # showList :: [OutputParameter] -> ShowS #
Generic OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Associated Types type Rep OutputParameter :: Type -> Type # Methods from :: OutputParameter -> Rep OutputParameter x # to :: Rep OutputParameter x -> OutputParameter #
NFData OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods rnf :: OutputParameter -> () #
Hashable OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods hashWithSalt :: Int -> OutputParameter -> Int # hash :: OutputParameter -> Int #
ToJSON OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods toJSON :: OutputParameter -> Value # toEncoding :: OutputParameter -> Encoding # toJSONList :: [OutputParameter] -> Value # toEncodingList :: [OutputParameter] -> Encoding #
FromJSON OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter Methods parseJSON :: Value -> Parser OutputParameter # parseJSONList :: Value -> Parser [OutputParameter] #
type Rep OutputParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.OutputParameter type Rep OutputParameter = D1 ('MetaData "OutputParameter" "Amazonka.SageMaker.Types.OutputParameter" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "OutputParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newOutputParameter Source #

Arguments

:: Text	`$sel:name:OutputParameter'`
-> Text	`$sel:value:OutputParameter'`
-> OutputParameter

Create a value of OutputParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:OutputParameter', outputParameter_name - The name of the output parameter.

$sel:value:OutputParameter', outputParameter_value - The value of the output parameter.

outputParameter_name :: Lens' OutputParameter Text Source #

The name of the output parameter.

outputParameter_value :: Lens' OutputParameter Text Source #

The value of the output parameter.

Parameter

data Parameter Source #

Assigns a value to a named Pipeline parameter.

See: newParameter smart constructor.

Constructors

Parameter'
Fields name :: Text The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition. value :: Text The literal value for the parameter.

Instances

Instances details

Eq Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods (==) :: Parameter -> Parameter -> Bool # (/=) :: Parameter -> Parameter -> Bool #
Read Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods readsPrec :: Int -> ReadS Parameter # readList :: ReadS [Parameter] # readPrec :: ReadPrec Parameter # readListPrec :: ReadPrec [Parameter] #
Show Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods showsPrec :: Int -> Parameter -> ShowS # show :: Parameter -> String # showList :: [Parameter] -> ShowS #
Generic Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Associated Types type Rep Parameter :: Type -> Type # Methods from :: Parameter -> Rep Parameter x # to :: Rep Parameter x -> Parameter #
NFData Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods rnf :: Parameter -> () #
Hashable Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods hashWithSalt :: Int -> Parameter -> Int # hash :: Parameter -> Int #
ToJSON Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods toJSON :: Parameter -> Value # toEncoding :: Parameter -> Encoding # toJSONList :: [Parameter] -> Value # toEncodingList :: [Parameter] -> Encoding #
FromJSON Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter Methods parseJSON :: Value -> Parser Parameter # parseJSONList :: Value -> Parser [Parameter] #
type Rep Parameter Source #
Instance details Defined in Amazonka.SageMaker.Types.Parameter type Rep Parameter = D1 ('MetaData "Parameter" "Amazonka.SageMaker.Types.Parameter" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Parameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newParameter Source #

Arguments

:: Text	`$sel:name:Parameter'`
-> Text	`$sel:value:Parameter'`
-> Parameter

Create a value of Parameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:Parameter', parameter_name - The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.

$sel:value:Parameter', parameter_value - The literal value for the parameter.

parameter_name :: Lens' Parameter Text Source #

The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.

parameter_value :: Lens' Parameter Text Source #

The literal value for the parameter.

ParameterRange

data ParameterRange Source #

Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.

See: newParameterRange smart constructor.

Constructors

ParameterRange'

Fields

categoricalParameterRangeSpecification :: Maybe CategoricalParameterRangeSpecification
A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.
integerParameterRangeSpecification :: Maybe IntegerParameterRangeSpecification
A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.
continuousParameterRangeSpecification :: Maybe ContinuousParameterRangeSpecification
A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.

Instances

Instances details

Eq ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods (==) :: ParameterRange -> ParameterRange -> Bool # (/=) :: ParameterRange -> ParameterRange -> Bool #
Read ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods readsPrec :: Int -> ReadS ParameterRange # readList :: ReadS [ParameterRange] # readPrec :: ReadPrec ParameterRange # readListPrec :: ReadPrec [ParameterRange] #
Show ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods showsPrec :: Int -> ParameterRange -> ShowS # show :: ParameterRange -> String # showList :: [ParameterRange] -> ShowS #
Generic ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Associated Types type Rep ParameterRange :: Type -> Type # Methods from :: ParameterRange -> Rep ParameterRange x # to :: Rep ParameterRange x -> ParameterRange #
NFData ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods rnf :: ParameterRange -> () #
Hashable ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods hashWithSalt :: Int -> ParameterRange -> Int # hash :: ParameterRange -> Int #
ToJSON ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods toJSON :: ParameterRange -> Value # toEncoding :: ParameterRange -> Encoding # toJSONList :: [ParameterRange] -> Value # toEncodingList :: [ParameterRange] -> Encoding #
FromJSON ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange Methods parseJSON :: Value -> Parser ParameterRange # parseJSONList :: Value -> Parser [ParameterRange] #
type Rep ParameterRange Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRange type Rep ParameterRange = D1 ('MetaData "ParameterRange" "Amazonka.SageMaker.Types.ParameterRange" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalParameterRangeSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CategoricalParameterRangeSpecification)) :: (S1 ('MetaSel ('Just "integerParameterRangeSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe IntegerParameterRangeSpecification)) :: S1 ('MetaSel ('Just "continuousParameterRangeSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContinuousParameterRangeSpecification)))))

newParameterRange :: ParameterRange Source #

Create a value of ParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalParameterRangeSpecification:ParameterRange', parameterRange_categoricalParameterRangeSpecification - A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.

$sel:integerParameterRangeSpecification:ParameterRange', parameterRange_integerParameterRangeSpecification - A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.

$sel:continuousParameterRangeSpecification:ParameterRange', parameterRange_continuousParameterRangeSpecification - A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.

parameterRange_categoricalParameterRangeSpecification :: Lens' ParameterRange (Maybe CategoricalParameterRangeSpecification) Source #

A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.

parameterRange_integerParameterRangeSpecification :: Lens' ParameterRange (Maybe IntegerParameterRangeSpecification) Source #

A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.

parameterRange_continuousParameterRangeSpecification :: Lens' ParameterRange (Maybe ContinuousParameterRangeSpecification) Source #

A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.

ParameterRanges

data ParameterRanges Source #

Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.

You can specify a maximum of 20 hyperparameters that a hyperparameter tuning job can search over. Every possible value of a categorical parameter range counts against this limit.

See: newParameterRanges smart constructor.

Constructors

ParameterRanges'

Fields

categoricalParameterRanges :: Maybe [CategoricalParameterRange]
The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.
integerParameterRanges :: Maybe [IntegerParameterRange]
The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.
continuousParameterRanges :: Maybe [ContinuousParameterRange]
The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.

Instances

Instances details

Eq ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods (==) :: ParameterRanges -> ParameterRanges -> Bool # (/=) :: ParameterRanges -> ParameterRanges -> Bool #
Read ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods readsPrec :: Int -> ReadS ParameterRanges # readList :: ReadS [ParameterRanges] # readPrec :: ReadPrec ParameterRanges # readListPrec :: ReadPrec [ParameterRanges] #
Show ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods showsPrec :: Int -> ParameterRanges -> ShowS # show :: ParameterRanges -> String # showList :: [ParameterRanges] -> ShowS #
Generic ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Associated Types type Rep ParameterRanges :: Type -> Type # Methods from :: ParameterRanges -> Rep ParameterRanges x # to :: Rep ParameterRanges x -> ParameterRanges #
NFData ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods rnf :: ParameterRanges -> () #
Hashable ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods hashWithSalt :: Int -> ParameterRanges -> Int # hash :: ParameterRanges -> Int #
ToJSON ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods toJSON :: ParameterRanges -> Value # toEncoding :: ParameterRanges -> Encoding # toJSONList :: [ParameterRanges] -> Value # toEncodingList :: [ParameterRanges] -> Encoding #
FromJSON ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges Methods parseJSON :: Value -> Parser ParameterRanges # parseJSONList :: Value -> Parser [ParameterRanges] #
type Rep ParameterRanges Source #
Instance details Defined in Amazonka.SageMaker.Types.ParameterRanges type Rep ParameterRanges = D1 ('MetaData "ParameterRanges" "Amazonka.SageMaker.Types.ParameterRanges" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CategoricalParameterRange])) :: (S1 ('MetaSel ('Just "integerParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [IntegerParameterRange])) :: S1 ('MetaSel ('Just "continuousParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContinuousParameterRange])))))

newParameterRanges :: ParameterRanges Source #

Create a value of ParameterRanges with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalParameterRanges:ParameterRanges', parameterRanges_categoricalParameterRanges - The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.

$sel:integerParameterRanges:ParameterRanges', parameterRanges_integerParameterRanges - The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.

$sel:continuousParameterRanges:ParameterRanges', parameterRanges_continuousParameterRanges - The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.

parameterRanges_categoricalParameterRanges :: Lens' ParameterRanges (Maybe [CategoricalParameterRange]) Source #

The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.

parameterRanges_integerParameterRanges :: Lens' ParameterRanges (Maybe [IntegerParameterRange]) Source #

The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.

parameterRanges_continuousParameterRanges :: Lens' ParameterRanges (Maybe [ContinuousParameterRange]) Source #

The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.

Parent

data Parent Source #

The trial that a trial component is associated with and the experiment the trial is part of. A component might not be associated with a trial. A component can be associated with multiple trials.

See: newParent smart constructor.

Constructors

Parent'
Fields experimentName :: Maybe Text The name of the experiment. trialName :: Maybe Text The name of the trial.

Instances

Instances details

Eq Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Methods (==) :: Parent -> Parent -> Bool # (/=) :: Parent -> Parent -> Bool #
Read Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Methods readsPrec :: Int -> ReadS Parent # readList :: ReadS [Parent] # readPrec :: ReadPrec Parent # readListPrec :: ReadPrec [Parent] #
Show Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Methods showsPrec :: Int -> Parent -> ShowS # show :: Parent -> String # showList :: [Parent] -> ShowS #
Generic Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Associated Types type Rep Parent :: Type -> Type # Methods from :: Parent -> Rep Parent x # to :: Rep Parent x -> Parent #
NFData Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Methods rnf :: Parent -> () #
Hashable Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Methods hashWithSalt :: Int -> Parent -> Int # hash :: Parent -> Int #
FromJSON Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent Methods parseJSON :: Value -> Parser Parent # parseJSONList :: Value -> Parser [Parent] #
type Rep Parent Source #
Instance details Defined in Amazonka.SageMaker.Types.Parent type Rep Parent = D1 ('MetaData "Parent" "Amazonka.SageMaker.Types.Parent" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Parent'" 'PrefixI 'True) (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newParent :: Parent Source #

Create a value of Parent with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:experimentName:Parent', parent_experimentName - The name of the experiment.

$sel:trialName:Parent', parent_trialName - The name of the trial.

parent_experimentName :: Lens' Parent (Maybe Text) Source #

The name of the experiment.

parent_trialName :: Lens' Parent (Maybe Text) Source #

The name of the trial.

ParentHyperParameterTuningJob

data ParentHyperParameterTuningJob Source #

A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

See: newParentHyperParameterTuningJob smart constructor.

Constructors

ParentHyperParameterTuningJob'
Fields hyperParameterTuningJobName :: Maybe Text The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

Instances

Instances details

Eq ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods (==) :: ParentHyperParameterTuningJob -> ParentHyperParameterTuningJob -> Bool # (/=) :: ParentHyperParameterTuningJob -> ParentHyperParameterTuningJob -> Bool #
Read ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods readsPrec :: Int -> ReadS ParentHyperParameterTuningJob # readList :: ReadS [ParentHyperParameterTuningJob] # readPrec :: ReadPrec ParentHyperParameterTuningJob # readListPrec :: ReadPrec [ParentHyperParameterTuningJob] #
Show ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods showsPrec :: Int -> ParentHyperParameterTuningJob -> ShowS # show :: ParentHyperParameterTuningJob -> String # showList :: [ParentHyperParameterTuningJob] -> ShowS #
Generic ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Associated Types type Rep ParentHyperParameterTuningJob :: Type -> Type # Methods from :: ParentHyperParameterTuningJob -> Rep ParentHyperParameterTuningJob x # to :: Rep ParentHyperParameterTuningJob x -> ParentHyperParameterTuningJob #
NFData ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods rnf :: ParentHyperParameterTuningJob -> () #
Hashable ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods hashWithSalt :: Int -> ParentHyperParameterTuningJob -> Int # hash :: ParentHyperParameterTuningJob -> Int #
ToJSON ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods toJSON :: ParentHyperParameterTuningJob -> Value # toEncoding :: ParentHyperParameterTuningJob -> Encoding # toJSONList :: [ParentHyperParameterTuningJob] -> Value # toEncodingList :: [ParentHyperParameterTuningJob] -> Encoding #
FromJSON ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob Methods parseJSON :: Value -> Parser ParentHyperParameterTuningJob # parseJSONList :: Value -> Parser [ParentHyperParameterTuningJob] #
type Rep ParentHyperParameterTuningJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob type Rep ParentHyperParameterTuningJob = D1 ('MetaData "ParentHyperParameterTuningJob" "Amazonka.SageMaker.Types.ParentHyperParameterTuningJob" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ParentHyperParameterTuningJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "hyperParameterTuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newParentHyperParameterTuningJob :: ParentHyperParameterTuningJob Source #

Create a value of ParentHyperParameterTuningJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperParameterTuningJobName:ParentHyperParameterTuningJob', parentHyperParameterTuningJob_hyperParameterTuningJobName - The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

parentHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ParentHyperParameterTuningJob (Maybe Text) Source #

The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

Pipeline

data Pipeline Source #

A SageMaker Model Building Pipeline instance.

See: newPipeline smart constructor.

Constructors

Pipeline'

Fields

creationTime :: Maybe POSIX
The creation time of the pipeline.
pipelineDisplayName :: Maybe Text
The display name of the pipeline.
pipelineName :: Maybe Text
The name of the pipeline.
createdBy :: Maybe UserContext
lastRunTime :: Maybe POSIX
The time when the pipeline was last run.
lastModifiedTime :: Maybe POSIX
The time that the pipeline was last modified.
pipelineStatus :: Maybe PipelineStatus
The status of the pipeline.
pipelineDescription :: Maybe Text
The description of the pipeline.
pipelineArn :: Maybe Text
The Amazon Resource Name (ARN) of the pipeline.
lastModifiedBy :: Maybe UserContext
tags :: Maybe [Tag]
A list of tags that apply to the pipeline.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) of the role that created the pipeline.

Instances

Instances details

Eq Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Methods (==) :: Pipeline -> Pipeline -> Bool # (/=) :: Pipeline -> Pipeline -> Bool #
Read Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Methods readsPrec :: Int -> ReadS Pipeline # readList :: ReadS [Pipeline] # readPrec :: ReadPrec Pipeline # readListPrec :: ReadPrec [Pipeline] #
Show Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Methods showsPrec :: Int -> Pipeline -> ShowS # show :: Pipeline -> String # showList :: [Pipeline] -> ShowS #
Generic Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Associated Types type Rep Pipeline :: Type -> Type # Methods from :: Pipeline -> Rep Pipeline x # to :: Rep Pipeline x -> Pipeline #
NFData Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Methods rnf :: Pipeline -> () #
Hashable Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Methods hashWithSalt :: Int -> Pipeline -> Int # hash :: Pipeline -> Int #
FromJSON Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline Methods parseJSON :: Value -> Parser Pipeline # parseJSONList :: Value -> Parser [Pipeline] #
type Rep Pipeline Source #
Instance details Defined in Amazonka.SageMaker.Types.Pipeline type Rep Pipeline = D1 ('MetaData "Pipeline" "Amazonka.SageMaker.Types.Pipeline" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Pipeline'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "pipelineDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pipelineName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: (S1 ('MetaSel ('Just "lastRunTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "pipelineStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineStatus)) :: (S1 ('MetaSel ('Just "pipelineDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pipelineArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newPipeline :: Pipeline Source #

Create a value of Pipeline with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:Pipeline', pipeline_creationTime - The creation time of the pipeline.

$sel:pipelineDisplayName:Pipeline', pipeline_pipelineDisplayName - The display name of the pipeline.

$sel:pipelineName:Pipeline', pipeline_pipelineName - The name of the pipeline.

$sel:createdBy:Pipeline', pipeline_createdBy - Undocumented member.

$sel:lastRunTime:Pipeline', pipeline_lastRunTime - The time when the pipeline was last run.

$sel:lastModifiedTime:Pipeline', pipeline_lastModifiedTime - The time that the pipeline was last modified.

$sel:pipelineStatus:Pipeline', pipeline_pipelineStatus - The status of the pipeline.

$sel:pipelineDescription:Pipeline', pipeline_pipelineDescription - The description of the pipeline.

$sel:pipelineArn:Pipeline', pipeline_pipelineArn - The Amazon Resource Name (ARN) of the pipeline.

$sel:lastModifiedBy:Pipeline', pipeline_lastModifiedBy - Undocumented member.

$sel:tags:Pipeline', pipeline_tags - A list of tags that apply to the pipeline.

$sel:roleArn:Pipeline', pipeline_roleArn - The Amazon Resource Name (ARN) of the role that created the pipeline.

pipeline_creationTime :: Lens' Pipeline (Maybe UTCTime) Source #

The creation time of the pipeline.

pipeline_pipelineDisplayName :: Lens' Pipeline (Maybe Text) Source #

The display name of the pipeline.

pipeline_pipelineName :: Lens' Pipeline (Maybe Text) Source #

The name of the pipeline.

pipeline_createdBy :: Lens' Pipeline (Maybe UserContext) Source #

Undocumented member.

pipeline_lastRunTime :: Lens' Pipeline (Maybe UTCTime) Source #

The time when the pipeline was last run.

pipeline_lastModifiedTime :: Lens' Pipeline (Maybe UTCTime) Source #

The time that the pipeline was last modified.

pipeline_pipelineStatus :: Lens' Pipeline (Maybe PipelineStatus) Source #

The status of the pipeline.

pipeline_pipelineDescription :: Lens' Pipeline (Maybe Text) Source #

The description of the pipeline.

pipeline_pipelineArn :: Lens' Pipeline (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline.

pipeline_lastModifiedBy :: Lens' Pipeline (Maybe UserContext) Source #

Undocumented member.

pipeline_tags :: Lens' Pipeline (Maybe [Tag]) Source #

A list of tags that apply to the pipeline.

pipeline_roleArn :: Lens' Pipeline (Maybe Text) Source #

The Amazon Resource Name (ARN) of the role that created the pipeline.

PipelineExecution

data PipelineExecution Source #

An execution of a pipeline.

See: newPipelineExecution smart constructor.

Constructors

PipelineExecution'

Fields

creationTime :: Maybe POSIX
The creation time of the pipeline execution.
pipelineExecutionStatus :: Maybe PipelineExecutionStatus
The status of the pipeline status.
failureReason :: Maybe Text
If the execution failed, a message describing why.
pipelineExecutionArn :: Maybe Text
The Amazon Resource Name (ARN) of the pipeline execution.
pipelineParameters :: Maybe [Parameter]
Contains a list of pipeline parameters. This list can be empty.
createdBy :: Maybe UserContext
lastModifiedTime :: Maybe POSIX
The time that the pipeline execution was last modified.
pipelineArn :: Maybe Text
The Amazon Resource Name (ARN) of the pipeline that was executed.
pipelineExecutionDisplayName :: Maybe Text
The display name of the pipeline execution.
lastModifiedBy :: Maybe UserContext
pipelineExecutionDescription :: Maybe Text
The description of the pipeline execution.
pipelineExperimentConfig :: Maybe PipelineExperimentConfig

Instances

Instances details

Eq PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Methods (==) :: PipelineExecution -> PipelineExecution -> Bool # (/=) :: PipelineExecution -> PipelineExecution -> Bool #
Read PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Methods readsPrec :: Int -> ReadS PipelineExecution # readList :: ReadS [PipelineExecution] # readPrec :: ReadPrec PipelineExecution # readListPrec :: ReadPrec [PipelineExecution] #
Show PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Methods showsPrec :: Int -> PipelineExecution -> ShowS # show :: PipelineExecution -> String # showList :: [PipelineExecution] -> ShowS #
Generic PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Associated Types type Rep PipelineExecution :: Type -> Type # Methods from :: PipelineExecution -> Rep PipelineExecution x # to :: Rep PipelineExecution x -> PipelineExecution #
NFData PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Methods rnf :: PipelineExecution -> () #
Hashable PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Methods hashWithSalt :: Int -> PipelineExecution -> Int # hash :: PipelineExecution -> Int #
FromJSON PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution Methods parseJSON :: Value -> Parser PipelineExecution # parseJSONList :: Value -> Parser [PipelineExecution] #
type Rep PipelineExecution Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecution type Rep PipelineExecution = D1 ('MetaData "PipelineExecution" "Amazonka.SageMaker.Types.PipelineExecution" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PipelineExecution'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "pipelineExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecutionStatus)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "pipelineExecutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "pipelineParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parameter])) :: S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))))) :: ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "pipelineArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pipelineExecutionDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: (S1 ('MetaSel ('Just "pipelineExecutionDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineExperimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExperimentConfig)))))))

newPipelineExecution :: PipelineExecution Source #

Create a value of PipelineExecution with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:PipelineExecution', pipelineExecution_creationTime - The creation time of the pipeline execution.

$sel:pipelineExecutionStatus:PipelineExecution', pipelineExecution_pipelineExecutionStatus - The status of the pipeline status.

$sel:failureReason:PipelineExecution', pipelineExecution_failureReason - If the execution failed, a message describing why.

$sel:pipelineExecutionArn:PipelineExecution', pipelineExecution_pipelineExecutionArn - The Amazon Resource Name (ARN) of the pipeline execution.

$sel:pipelineParameters:PipelineExecution', pipelineExecution_pipelineParameters - Contains a list of pipeline parameters. This list can be empty.

$sel:createdBy:PipelineExecution', pipelineExecution_createdBy - Undocumented member.

$sel:lastModifiedTime:PipelineExecution', pipelineExecution_lastModifiedTime - The time that the pipeline execution was last modified.

$sel:pipelineArn:PipelineExecution', pipelineExecution_pipelineArn - The Amazon Resource Name (ARN) of the pipeline that was executed.

$sel:pipelineExecutionDisplayName:PipelineExecution', pipelineExecution_pipelineExecutionDisplayName - The display name of the pipeline execution.

$sel:lastModifiedBy:PipelineExecution', pipelineExecution_lastModifiedBy - Undocumented member.

$sel:pipelineExecutionDescription:PipelineExecution', pipelineExecution_pipelineExecutionDescription - The description of the pipeline execution.

$sel:pipelineExperimentConfig:PipelineExecution', pipelineExecution_pipelineExperimentConfig - Undocumented member.

pipelineExecution_creationTime :: Lens' PipelineExecution (Maybe UTCTime) Source #

The creation time of the pipeline execution.

pipelineExecution_pipelineExecutionStatus :: Lens' PipelineExecution (Maybe PipelineExecutionStatus) Source #

The status of the pipeline status.

pipelineExecution_failureReason :: Lens' PipelineExecution (Maybe Text) Source #

If the execution failed, a message describing why.

pipelineExecution_pipelineExecutionArn :: Lens' PipelineExecution (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline execution.

pipelineExecution_pipelineParameters :: Lens' PipelineExecution (Maybe [Parameter]) Source #

Contains a list of pipeline parameters. This list can be empty.

pipelineExecution_createdBy :: Lens' PipelineExecution (Maybe UserContext) Source #

Undocumented member.

pipelineExecution_lastModifiedTime :: Lens' PipelineExecution (Maybe UTCTime) Source #

The time that the pipeline execution was last modified.

pipelineExecution_pipelineArn :: Lens' PipelineExecution (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline that was executed.

pipelineExecution_pipelineExecutionDisplayName :: Lens' PipelineExecution (Maybe Text) Source #

The display name of the pipeline execution.

pipelineExecution_lastModifiedBy :: Lens' PipelineExecution (Maybe UserContext) Source #

Undocumented member.

pipelineExecution_pipelineExecutionDescription :: Lens' PipelineExecution (Maybe Text) Source #

The description of the pipeline execution.

pipelineExecution_pipelineExperimentConfig :: Lens' PipelineExecution (Maybe PipelineExperimentConfig) Source #

Undocumented member.

PipelineExecutionStep

data PipelineExecutionStep Source #

An execution of a step in a pipeline.

See: newPipelineExecutionStep smart constructor.

Constructors

PipelineExecutionStep'

Fields

failureReason :: Maybe Text
The reason why the step failed execution. This is only returned if the step failed its execution.
startTime :: Maybe POSIX
The time that the step started executing.
stepName :: Maybe Text
The name of the step that is executed.
stepStatus :: Maybe StepStatus
The status of the step execution.
endTime :: Maybe POSIX
The time that the step stopped executing.
metadata :: Maybe PipelineExecutionStepMetadata
Metadata for the step execution.
cacheHitResult :: Maybe CacheHitResult
If this pipeline execution step was cached, details on the cache hit.

Instances

Instances details

Eq PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Methods (==) :: PipelineExecutionStep -> PipelineExecutionStep -> Bool # (/=) :: PipelineExecutionStep -> PipelineExecutionStep -> Bool #
Read PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Methods readsPrec :: Int -> ReadS PipelineExecutionStep # readList :: ReadS [PipelineExecutionStep] # readPrec :: ReadPrec PipelineExecutionStep # readListPrec :: ReadPrec [PipelineExecutionStep] #
Show PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Methods showsPrec :: Int -> PipelineExecutionStep -> ShowS # show :: PipelineExecutionStep -> String # showList :: [PipelineExecutionStep] -> ShowS #
Generic PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Associated Types type Rep PipelineExecutionStep :: Type -> Type # Methods from :: PipelineExecutionStep -> Rep PipelineExecutionStep x # to :: Rep PipelineExecutionStep x -> PipelineExecutionStep #
NFData PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Methods rnf :: PipelineExecutionStep -> () #
Hashable PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Methods hashWithSalt :: Int -> PipelineExecutionStep -> Int # hash :: PipelineExecutionStep -> Int #
FromJSON PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep Methods parseJSON :: Value -> Parser PipelineExecutionStep # parseJSONList :: Value -> Parser [PipelineExecutionStep] #
type Rep PipelineExecutionStep Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStep type Rep PipelineExecutionStep = D1 ('MetaData "PipelineExecutionStep" "Amazonka.SageMaker.Types.PipelineExecutionStep" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PipelineExecutionStep'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "stepName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "stepStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StepStatus)) :: S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "metadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecutionStepMetadata)) :: S1 ('MetaSel ('Just "cacheHitResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CacheHitResult))))))

newPipelineExecutionStep :: PipelineExecutionStep Source #

Create a value of PipelineExecutionStep with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:PipelineExecutionStep', pipelineExecutionStep_failureReason - The reason why the step failed execution. This is only returned if the step failed its execution.

$sel:startTime:PipelineExecutionStep', pipelineExecutionStep_startTime - The time that the step started executing.

$sel:stepName:PipelineExecutionStep', pipelineExecutionStep_stepName - The name of the step that is executed.

$sel:stepStatus:PipelineExecutionStep', pipelineExecutionStep_stepStatus - The status of the step execution.

$sel:endTime:PipelineExecutionStep', pipelineExecutionStep_endTime - The time that the step stopped executing.

$sel:metadata:PipelineExecutionStep', pipelineExecutionStep_metadata - Metadata for the step execution.

$sel:cacheHitResult:PipelineExecutionStep', pipelineExecutionStep_cacheHitResult - If this pipeline execution step was cached, details on the cache hit.

pipelineExecutionStep_failureReason :: Lens' PipelineExecutionStep (Maybe Text) Source #

The reason why the step failed execution. This is only returned if the step failed its execution.

pipelineExecutionStep_startTime :: Lens' PipelineExecutionStep (Maybe UTCTime) Source #

The time that the step started executing.

pipelineExecutionStep_stepName :: Lens' PipelineExecutionStep (Maybe Text) Source #

The name of the step that is executed.

pipelineExecutionStep_stepStatus :: Lens' PipelineExecutionStep (Maybe StepStatus) Source #

The status of the step execution.

pipelineExecutionStep_endTime :: Lens' PipelineExecutionStep (Maybe UTCTime) Source #

The time that the step stopped executing.

pipelineExecutionStep_metadata :: Lens' PipelineExecutionStep (Maybe PipelineExecutionStepMetadata) Source #

Metadata for the step execution.

pipelineExecutionStep_cacheHitResult :: Lens' PipelineExecutionStep (Maybe CacheHitResult) Source #

If this pipeline execution step was cached, details on the cache hit.

PipelineExecutionStepMetadata

data PipelineExecutionStepMetadata Source #

Metadata for a step execution.

See: newPipelineExecutionStepMetadata smart constructor.

Constructors

PipelineExecutionStepMetadata'

Fields

trainingJob :: Maybe TrainingJobStepMetadata
The Amazon Resource Name (ARN) of the training job that was run by this step execution.
processingJob :: Maybe ProcessingJobStepMetadata
The Amazon Resource Name (ARN) of the processing job that was run by this step execution.
model :: Maybe ModelStepMetadata
The Amazon Resource Name (ARN) of the model that was created by this step execution.
lambda :: Maybe LambdaStepMetadata
The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.
tuningJob :: Maybe TuningJobStepMetaData
The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.
condition :: Maybe ConditionStepMetadata
The outcome of the condition evaluation that was run by this step execution.
transformJob :: Maybe TransformJobStepMetadata
The Amazon Resource Name (ARN) of the transform job that was run by this step execution.
registerModel :: Maybe RegisterModelStepMetadata
The Amazon Resource Name (ARN) of the model package the model was registered to by this step execution.
callback :: Maybe CallbackStepMetadata
The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

Instances

Instances details

Eq PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Methods (==) :: PipelineExecutionStepMetadata -> PipelineExecutionStepMetadata -> Bool # (/=) :: PipelineExecutionStepMetadata -> PipelineExecutionStepMetadata -> Bool #
Read PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Methods readsPrec :: Int -> ReadS PipelineExecutionStepMetadata # readList :: ReadS [PipelineExecutionStepMetadata] # readPrec :: ReadPrec PipelineExecutionStepMetadata # readListPrec :: ReadPrec [PipelineExecutionStepMetadata] #
Show PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Methods showsPrec :: Int -> PipelineExecutionStepMetadata -> ShowS # show :: PipelineExecutionStepMetadata -> String # showList :: [PipelineExecutionStepMetadata] -> ShowS #
Generic PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Associated Types type Rep PipelineExecutionStepMetadata :: Type -> Type # Methods from :: PipelineExecutionStepMetadata -> Rep PipelineExecutionStepMetadata x # to :: Rep PipelineExecutionStepMetadata x -> PipelineExecutionStepMetadata #
NFData PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Methods rnf :: PipelineExecutionStepMetadata -> () #
Hashable PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Methods hashWithSalt :: Int -> PipelineExecutionStepMetadata -> Int # hash :: PipelineExecutionStepMetadata -> Int #
FromJSON PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata Methods parseJSON :: Value -> Parser PipelineExecutionStepMetadata # parseJSONList :: Value -> Parser [PipelineExecutionStepMetadata] #
type Rep PipelineExecutionStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata type Rep PipelineExecutionStepMetadata = D1 ('MetaData "PipelineExecutionStepMetadata" "Amazonka.SageMaker.Types.PipelineExecutionStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PipelineExecutionStepMetadata'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "trainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobStepMetadata)) :: S1 ('MetaSel ('Just "processingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingJobStepMetadata))) :: (S1 ('MetaSel ('Just "model") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStepMetadata)) :: S1 ('MetaSel ('Just "lambda") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaStepMetadata)))) :: ((S1 ('MetaSel ('Just "tuningJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TuningJobStepMetaData)) :: S1 ('MetaSel ('Just "condition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConditionStepMetadata))) :: (S1 ('MetaSel ('Just "transformJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJobStepMetadata)) :: (S1 ('MetaSel ('Just "registerModel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RegisterModelStepMetadata)) :: S1 ('MetaSel ('Just "callback") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CallbackStepMetadata)))))))

newPipelineExecutionStepMetadata :: PipelineExecutionStepMetadata Source #

Create a value of PipelineExecutionStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:trainingJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_trainingJob - The Amazon Resource Name (ARN) of the training job that was run by this step execution.

$sel:processingJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_processingJob - The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

$sel:model:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_model - The Amazon Resource Name (ARN) of the model that was created by this step execution.

$sel:lambda:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_lambda - The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

$sel:tuningJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_tuningJob - The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

$sel:condition:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_condition - The outcome of the condition evaluation that was run by this step execution.

$sel:transformJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_transformJob - The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

$sel:registerModel:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_registerModel - The Amazon Resource Name (ARN) of the model package the model was registered to by this step execution.

$sel:callback:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_callback - The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

pipelineExecutionStepMetadata_trainingJob :: Lens' PipelineExecutionStepMetadata (Maybe TrainingJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

pipelineExecutionStepMetadata_processingJob :: Lens' PipelineExecutionStepMetadata (Maybe ProcessingJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

pipelineExecutionStepMetadata_model :: Lens' PipelineExecutionStepMetadata (Maybe ModelStepMetadata) Source #

The Amazon Resource Name (ARN) of the model that was created by this step execution.

pipelineExecutionStepMetadata_lambda :: Lens' PipelineExecutionStepMetadata (Maybe LambdaStepMetadata) Source #

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

pipelineExecutionStepMetadata_tuningJob :: Lens' PipelineExecutionStepMetadata (Maybe TuningJobStepMetaData) Source #

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

pipelineExecutionStepMetadata_condition :: Lens' PipelineExecutionStepMetadata (Maybe ConditionStepMetadata) Source #

The outcome of the condition evaluation that was run by this step execution.

pipelineExecutionStepMetadata_transformJob :: Lens' PipelineExecutionStepMetadata (Maybe TransformJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

pipelineExecutionStepMetadata_registerModel :: Lens' PipelineExecutionStepMetadata (Maybe RegisterModelStepMetadata) Source #

The Amazon Resource Name (ARN) of the model package the model was registered to by this step execution.

pipelineExecutionStepMetadata_callback :: Lens' PipelineExecutionStepMetadata (Maybe CallbackStepMetadata) Source #

The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

PipelineExecutionSummary

data PipelineExecutionSummary Source #

A pipeline execution summary.

See: newPipelineExecutionSummary smart constructor.

Constructors

PipelineExecutionSummary'

Fields

pipelineExecutionStatus :: Maybe PipelineExecutionStatus
The status of the pipeline execution.
startTime :: Maybe POSIX
The start time of the pipeline execution.
pipelineExecutionArn :: Maybe Text
The Amazon Resource Name (ARN) of the pipeline execution.
pipelineExecutionDisplayName :: Maybe Text
The display name of the pipeline execution.
pipelineExecutionDescription :: Maybe Text
The description of the pipeline execution.

Instances

Instances details

Eq PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Methods (==) :: PipelineExecutionSummary -> PipelineExecutionSummary -> Bool # (/=) :: PipelineExecutionSummary -> PipelineExecutionSummary -> Bool #
Read PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Methods readsPrec :: Int -> ReadS PipelineExecutionSummary # readList :: ReadS [PipelineExecutionSummary] # readPrec :: ReadPrec PipelineExecutionSummary # readListPrec :: ReadPrec [PipelineExecutionSummary] #
Show PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Methods showsPrec :: Int -> PipelineExecutionSummary -> ShowS # show :: PipelineExecutionSummary -> String # showList :: [PipelineExecutionSummary] -> ShowS #
Generic PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Associated Types type Rep PipelineExecutionSummary :: Type -> Type # Methods from :: PipelineExecutionSummary -> Rep PipelineExecutionSummary x # to :: Rep PipelineExecutionSummary x -> PipelineExecutionSummary #
NFData PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Methods rnf :: PipelineExecutionSummary -> () #
Hashable PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Methods hashWithSalt :: Int -> PipelineExecutionSummary -> Int # hash :: PipelineExecutionSummary -> Int #
FromJSON PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary Methods parseJSON :: Value -> Parser PipelineExecutionSummary # parseJSONList :: Value -> Parser [PipelineExecutionSummary] #
type Rep PipelineExecutionSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary type Rep PipelineExecutionSummary = D1 ('MetaData "PipelineExecutionSummary" "Amazonka.SageMaker.Types.PipelineExecutionSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PipelineExecutionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "pipelineExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecutionStatus)) :: S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "pipelineExecutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "pipelineExecutionDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pipelineExecutionDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newPipelineExecutionSummary :: PipelineExecutionSummary Source #

Create a value of PipelineExecutionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:pipelineExecutionStatus:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionStatus - The status of the pipeline execution.

$sel:startTime:PipelineExecutionSummary', pipelineExecutionSummary_startTime - The start time of the pipeline execution.

$sel:pipelineExecutionArn:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionArn - The Amazon Resource Name (ARN) of the pipeline execution.

$sel:pipelineExecutionDisplayName:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionDisplayName - The display name of the pipeline execution.

$sel:pipelineExecutionDescription:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionDescription - The description of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionStatus :: Lens' PipelineExecutionSummary (Maybe PipelineExecutionStatus) Source #

The status of the pipeline execution.

pipelineExecutionSummary_startTime :: Lens' PipelineExecutionSummary (Maybe UTCTime) Source #

The start time of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionArn :: Lens' PipelineExecutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionDisplayName :: Lens' PipelineExecutionSummary (Maybe Text) Source #

The display name of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionDescription :: Lens' PipelineExecutionSummary (Maybe Text) Source #

The description of the pipeline execution.

PipelineExperimentConfig

data PipelineExperimentConfig Source #

Specifies the names of the experiment and trial created by a pipeline.

See: newPipelineExperimentConfig smart constructor.

Constructors

PipelineExperimentConfig'
Fields experimentName :: Maybe Text The name of the experiment. trialName :: Maybe Text The name of the trial.

Instances

Instances details

Eq PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Methods (==) :: PipelineExperimentConfig -> PipelineExperimentConfig -> Bool # (/=) :: PipelineExperimentConfig -> PipelineExperimentConfig -> Bool #
Read PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Methods readsPrec :: Int -> ReadS PipelineExperimentConfig # readList :: ReadS [PipelineExperimentConfig] # readPrec :: ReadPrec PipelineExperimentConfig # readListPrec :: ReadPrec [PipelineExperimentConfig] #
Show PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Methods showsPrec :: Int -> PipelineExperimentConfig -> ShowS # show :: PipelineExperimentConfig -> String # showList :: [PipelineExperimentConfig] -> ShowS #
Generic PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Associated Types type Rep PipelineExperimentConfig :: Type -> Type # Methods from :: PipelineExperimentConfig -> Rep PipelineExperimentConfig x # to :: Rep PipelineExperimentConfig x -> PipelineExperimentConfig #
NFData PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Methods rnf :: PipelineExperimentConfig -> () #
Hashable PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Methods hashWithSalt :: Int -> PipelineExperimentConfig -> Int # hash :: PipelineExperimentConfig -> Int #
FromJSON PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig Methods parseJSON :: Value -> Parser PipelineExperimentConfig # parseJSONList :: Value -> Parser [PipelineExperimentConfig] #
type Rep PipelineExperimentConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig type Rep PipelineExperimentConfig = D1 ('MetaData "PipelineExperimentConfig" "Amazonka.SageMaker.Types.PipelineExperimentConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PipelineExperimentConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newPipelineExperimentConfig :: PipelineExperimentConfig Source #

Create a value of PipelineExperimentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:experimentName:PipelineExperimentConfig', pipelineExperimentConfig_experimentName - The name of the experiment.

$sel:trialName:PipelineExperimentConfig', pipelineExperimentConfig_trialName - The name of the trial.

pipelineExperimentConfig_experimentName :: Lens' PipelineExperimentConfig (Maybe Text) Source #

The name of the experiment.

pipelineExperimentConfig_trialName :: Lens' PipelineExperimentConfig (Maybe Text) Source #

The name of the trial.

PipelineSummary

data PipelineSummary Source #

A summary of a pipeline.

See: newPipelineSummary smart constructor.

Constructors

PipelineSummary'

Fields

creationTime :: Maybe POSIX
The creation time of the pipeline.
pipelineDisplayName :: Maybe Text
The display name of the pipeline.
lastExecutionTime :: Maybe POSIX
The last time that a pipeline execution began.
pipelineName :: Maybe Text
The name of the pipeline.
lastModifiedTime :: Maybe POSIX
The time that the pipeline was last modified.
pipelineDescription :: Maybe Text
The description of the pipeline.
pipelineArn :: Maybe Text
The Amazon Resource Name (ARN) of the pipeline.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) that the pipeline used to execute.

Instances

Instances details

Eq PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Methods (==) :: PipelineSummary -> PipelineSummary -> Bool # (/=) :: PipelineSummary -> PipelineSummary -> Bool #
Read PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Methods readsPrec :: Int -> ReadS PipelineSummary # readList :: ReadS [PipelineSummary] # readPrec :: ReadPrec PipelineSummary # readListPrec :: ReadPrec [PipelineSummary] #
Show PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Methods showsPrec :: Int -> PipelineSummary -> ShowS # show :: PipelineSummary -> String # showList :: [PipelineSummary] -> ShowS #
Generic PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Associated Types type Rep PipelineSummary :: Type -> Type # Methods from :: PipelineSummary -> Rep PipelineSummary x # to :: Rep PipelineSummary x -> PipelineSummary #
NFData PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Methods rnf :: PipelineSummary -> () #
Hashable PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Methods hashWithSalt :: Int -> PipelineSummary -> Int # hash :: PipelineSummary -> Int #
FromJSON PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary Methods parseJSON :: Value -> Parser PipelineSummary # parseJSONList :: Value -> Parser [PipelineSummary] #
type Rep PipelineSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.PipelineSummary type Rep PipelineSummary = D1 ('MetaData "PipelineSummary" "Amazonka.SageMaker.Types.PipelineSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PipelineSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "pipelineDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastExecutionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "pipelineName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "pipelineDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "pipelineArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newPipelineSummary :: PipelineSummary Source #

Create a value of PipelineSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:PipelineSummary', pipelineSummary_creationTime - The creation time of the pipeline.

$sel:pipelineDisplayName:PipelineSummary', pipelineSummary_pipelineDisplayName - The display name of the pipeline.

$sel:lastExecutionTime:PipelineSummary', pipelineSummary_lastExecutionTime - The last time that a pipeline execution began.

$sel:pipelineName:PipelineSummary', pipelineSummary_pipelineName - The name of the pipeline.

$sel:lastModifiedTime:PipelineSummary', pipelineSummary_lastModifiedTime - The time that the pipeline was last modified.

$sel:pipelineDescription:PipelineSummary', pipelineSummary_pipelineDescription - The description of the pipeline.

$sel:pipelineArn:PipelineSummary', pipelineSummary_pipelineArn - The Amazon Resource Name (ARN) of the pipeline.

$sel:roleArn:PipelineSummary', pipelineSummary_roleArn - The Amazon Resource Name (ARN) that the pipeline used to execute.

pipelineSummary_creationTime :: Lens' PipelineSummary (Maybe UTCTime) Source #

The creation time of the pipeline.

pipelineSummary_pipelineDisplayName :: Lens' PipelineSummary (Maybe Text) Source #

The display name of the pipeline.

pipelineSummary_lastExecutionTime :: Lens' PipelineSummary (Maybe UTCTime) Source #

The last time that a pipeline execution began.

pipelineSummary_pipelineName :: Lens' PipelineSummary (Maybe Text) Source #

The name of the pipeline.

pipelineSummary_lastModifiedTime :: Lens' PipelineSummary (Maybe UTCTime) Source #

The time that the pipeline was last modified.

pipelineSummary_pipelineDescription :: Lens' PipelineSummary (Maybe Text) Source #

The description of the pipeline.

pipelineSummary_pipelineArn :: Lens' PipelineSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline.

pipelineSummary_roleArn :: Lens' PipelineSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) that the pipeline used to execute.

ProcessingClusterConfig

data ProcessingClusterConfig Source #

Configuration for the cluster used to run a processing job.

See: newProcessingClusterConfig smart constructor.

Constructors

ProcessingClusterConfig'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
instanceCount :: Natural
The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
instanceType :: ProcessingInstanceType
The ML compute instance type for the processing job.
volumeSizeInGB :: Natural
The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

Instances

Instances details

Eq ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods (==) :: ProcessingClusterConfig -> ProcessingClusterConfig -> Bool # (/=) :: ProcessingClusterConfig -> ProcessingClusterConfig -> Bool #
Read ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods readsPrec :: Int -> ReadS ProcessingClusterConfig # readList :: ReadS [ProcessingClusterConfig] # readPrec :: ReadPrec ProcessingClusterConfig # readListPrec :: ReadPrec [ProcessingClusterConfig] #
Show ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods showsPrec :: Int -> ProcessingClusterConfig -> ShowS # show :: ProcessingClusterConfig -> String # showList :: [ProcessingClusterConfig] -> ShowS #
Generic ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Associated Types type Rep ProcessingClusterConfig :: Type -> Type # Methods from :: ProcessingClusterConfig -> Rep ProcessingClusterConfig x # to :: Rep ProcessingClusterConfig x -> ProcessingClusterConfig #
NFData ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods rnf :: ProcessingClusterConfig -> () #
Hashable ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods hashWithSalt :: Int -> ProcessingClusterConfig -> Int # hash :: ProcessingClusterConfig -> Int #
ToJSON ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods toJSON :: ProcessingClusterConfig -> Value # toEncoding :: ProcessingClusterConfig -> Encoding # toJSONList :: [ProcessingClusterConfig] -> Value # toEncodingList :: [ProcessingClusterConfig] -> Encoding #
FromJSON ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig Methods parseJSON :: Value -> Parser ProcessingClusterConfig # parseJSONList :: Value -> Parser [ProcessingClusterConfig] #
type Rep ProcessingClusterConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig type Rep ProcessingClusterConfig = D1 ('MetaData "ProcessingClusterConfig" "Amazonka.SageMaker.Types.ProcessingClusterConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingClusterConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)) :: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingInstanceType) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newProcessingClusterConfig Source #

Arguments

:: Natural	`$sel:instanceCount:ProcessingClusterConfig'`
-> ProcessingInstanceType	`$sel:instanceType:ProcessingClusterConfig'`
-> Natural	`$sel:volumeSizeInGB:ProcessingClusterConfig'`
-> ProcessingClusterConfig

Create a value of ProcessingClusterConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:ProcessingClusterConfig', processingClusterConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

$sel:instanceCount:ProcessingClusterConfig', processingClusterConfig_instanceCount - The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

$sel:instanceType:ProcessingClusterConfig', processingClusterConfig_instanceType - The ML compute instance type for the processing job.

$sel:volumeSizeInGB:ProcessingClusterConfig', processingClusterConfig_volumeSizeInGB - The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

processingClusterConfig_volumeKmsKeyId :: Lens' ProcessingClusterConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

processingClusterConfig_instanceCount :: Lens' ProcessingClusterConfig Natural Source #

The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

processingClusterConfig_instanceType :: Lens' ProcessingClusterConfig ProcessingInstanceType Source #

The ML compute instance type for the processing job.

processingClusterConfig_volumeSizeInGB :: Lens' ProcessingClusterConfig Natural Source #

The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

ProcessingFeatureStoreOutput

data ProcessingFeatureStoreOutput Source #

Configuration for processing job outputs in Amazon SageMaker Feature Store.

See: newProcessingFeatureStoreOutput smart constructor.

Constructors

ProcessingFeatureStoreOutput'
Fields featureGroupName :: Text The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.

Instances

Instances details

Eq ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods (==) :: ProcessingFeatureStoreOutput -> ProcessingFeatureStoreOutput -> Bool # (/=) :: ProcessingFeatureStoreOutput -> ProcessingFeatureStoreOutput -> Bool #
Read ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods readsPrec :: Int -> ReadS ProcessingFeatureStoreOutput # readList :: ReadS [ProcessingFeatureStoreOutput] # readPrec :: ReadPrec ProcessingFeatureStoreOutput # readListPrec :: ReadPrec [ProcessingFeatureStoreOutput] #
Show ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods showsPrec :: Int -> ProcessingFeatureStoreOutput -> ShowS # show :: ProcessingFeatureStoreOutput -> String # showList :: [ProcessingFeatureStoreOutput] -> ShowS #
Generic ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Associated Types type Rep ProcessingFeatureStoreOutput :: Type -> Type # Methods from :: ProcessingFeatureStoreOutput -> Rep ProcessingFeatureStoreOutput x # to :: Rep ProcessingFeatureStoreOutput x -> ProcessingFeatureStoreOutput #
NFData ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods rnf :: ProcessingFeatureStoreOutput -> () #
Hashable ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods hashWithSalt :: Int -> ProcessingFeatureStoreOutput -> Int # hash :: ProcessingFeatureStoreOutput -> Int #
ToJSON ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods toJSON :: ProcessingFeatureStoreOutput -> Value # toEncoding :: ProcessingFeatureStoreOutput -> Encoding # toJSONList :: [ProcessingFeatureStoreOutput] -> Value # toEncodingList :: [ProcessingFeatureStoreOutput] -> Encoding #
FromJSON ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput Methods parseJSON :: Value -> Parser ProcessingFeatureStoreOutput # parseJSONList :: Value -> Parser [ProcessingFeatureStoreOutput] #
type Rep ProcessingFeatureStoreOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput type Rep ProcessingFeatureStoreOutput = D1 ('MetaData "ProcessingFeatureStoreOutput" "Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingFeatureStoreOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newProcessingFeatureStoreOutput Source #

Arguments

:: Text	`$sel:featureGroupName:ProcessingFeatureStoreOutput'`
-> ProcessingFeatureStoreOutput

Create a value of ProcessingFeatureStoreOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureGroupName:ProcessingFeatureStoreOutput', processingFeatureStoreOutput_featureGroupName - The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.

processingFeatureStoreOutput_featureGroupName :: Lens' ProcessingFeatureStoreOutput Text Source #

The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.

ProcessingInput

data ProcessingInput Source #

The inputs for a processing job. The processing input must specify exactly one of either S3Input or DatasetDefinition types.

See: newProcessingInput smart constructor.

Constructors

ProcessingInput'

Fields

datasetDefinition :: Maybe DatasetDefinition
Configuration for a Dataset Definition input.
appManaged :: Maybe Bool
When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.
s3Input :: Maybe ProcessingS3Input
Configuration for downloading input data from Amazon S3 into the processing container.
inputName :: Text
The name for the processing job input.

Instances

Instances details

Eq ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods (==) :: ProcessingInput -> ProcessingInput -> Bool # (/=) :: ProcessingInput -> ProcessingInput -> Bool #
Read ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods readsPrec :: Int -> ReadS ProcessingInput # readList :: ReadS [ProcessingInput] # readPrec :: ReadPrec ProcessingInput # readListPrec :: ReadPrec [ProcessingInput] #
Show ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods showsPrec :: Int -> ProcessingInput -> ShowS # show :: ProcessingInput -> String # showList :: [ProcessingInput] -> ShowS #
Generic ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Associated Types type Rep ProcessingInput :: Type -> Type # Methods from :: ProcessingInput -> Rep ProcessingInput x # to :: Rep ProcessingInput x -> ProcessingInput #
NFData ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods rnf :: ProcessingInput -> () #
Hashable ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods hashWithSalt :: Int -> ProcessingInput -> Int # hash :: ProcessingInput -> Int #
ToJSON ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods toJSON :: ProcessingInput -> Value # toEncoding :: ProcessingInput -> Encoding # toJSONList :: [ProcessingInput] -> Value # toEncodingList :: [ProcessingInput] -> Encoding #
FromJSON ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput Methods parseJSON :: Value -> Parser ProcessingInput # parseJSONList :: Value -> Parser [ProcessingInput] #
type Rep ProcessingInput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingInput type Rep ProcessingInput = D1 ('MetaData "ProcessingInput" "Amazonka.SageMaker.Types.ProcessingInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingInput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "datasetDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetDefinition)) :: S1 ('MetaSel ('Just "appManaged") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "s3Input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3Input)) :*: S1 ('MetaSel ('Just "inputName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newProcessingInput Source #

Arguments

:: Text	`$sel:inputName:ProcessingInput'`
-> ProcessingInput

Create a value of ProcessingInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetDefinition:ProcessingInput', processingInput_datasetDefinition - Configuration for a Dataset Definition input.

$sel:appManaged:ProcessingInput', processingInput_appManaged - When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.

$sel:s3Input:ProcessingInput', processingInput_s3Input - Configuration for downloading input data from Amazon S3 into the processing container.

$sel:inputName:ProcessingInput', processingInput_inputName - The name for the processing job input.

processingInput_datasetDefinition :: Lens' ProcessingInput (Maybe DatasetDefinition) Source #

Configuration for a Dataset Definition input.

processingInput_appManaged :: Lens' ProcessingInput (Maybe Bool) Source #

When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.

processingInput_s3Input :: Lens' ProcessingInput (Maybe ProcessingS3Input) Source #

Configuration for downloading input data from Amazon S3 into the processing container.

processingInput_inputName :: Lens' ProcessingInput Text Source #

The name for the processing job input.

ProcessingJob

data ProcessingJob Source #

An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.

See: newProcessingJob smart constructor.

Constructors

ProcessingJob'

Fields

creationTime :: Maybe POSIX
The time the processing job was created.
failureReason :: Maybe Text
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
monitoringScheduleArn :: Maybe Text
The ARN of a monitoring schedule for an endpoint associated with this processing job.
appSpecification :: Maybe AppSpecification
processingResources :: Maybe ProcessingResources
environment :: Maybe (HashMap Text Text)
Sets the environment variables in the Docker container.
processingJobName :: Maybe Text
The name of the processing job.
stoppingCondition :: Maybe ProcessingStoppingCondition
experimentConfig :: Maybe ExperimentConfig
lastModifiedTime :: Maybe POSIX
The time the processing job was last modified.
processingInputs :: Maybe [ProcessingInput]
List of input configurations for the processing job.
networkConfig :: Maybe NetworkConfig
autoMLJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.
trainingJobArn :: Maybe Text
The ARN of the training job associated with this processing job.
processingJobStatus :: Maybe ProcessingJobStatus
The status of the processing job.
exitMessage :: Maybe Text
A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
processingOutputConfig :: Maybe ProcessingOutputConfig
processingStartTime :: Maybe POSIX
The time that the processing job started.
processingEndTime :: Maybe POSIX
The time that the processing job ended.
tags :: Maybe [Tag]
An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
processingJobArn :: Maybe Text
The ARN of the processing job.
roleArn :: Maybe Text
The ARN of the role used to create the processing job.

Instances

Instances details

Eq ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Methods (==) :: ProcessingJob -> ProcessingJob -> Bool # (/=) :: ProcessingJob -> ProcessingJob -> Bool #
Read ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Methods readsPrec :: Int -> ReadS ProcessingJob # readList :: ReadS [ProcessingJob] # readPrec :: ReadPrec ProcessingJob # readListPrec :: ReadPrec [ProcessingJob] #
Show ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Methods showsPrec :: Int -> ProcessingJob -> ShowS # show :: ProcessingJob -> String # showList :: [ProcessingJob] -> ShowS #
Generic ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Associated Types type Rep ProcessingJob :: Type -> Type # Methods from :: ProcessingJob -> Rep ProcessingJob x # to :: Rep ProcessingJob x -> ProcessingJob #
NFData ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Methods rnf :: ProcessingJob -> () #
Hashable ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Methods hashWithSalt :: Int -> ProcessingJob -> Int # hash :: ProcessingJob -> Int #
FromJSON ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob Methods parseJSON :: Value -> Parser ProcessingJob # parseJSONList :: Value -> Parser [ProcessingJob] #
type Rep ProcessingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJob type Rep ProcessingJob = D1 ('MetaData "ProcessingJob" "Amazonka.SageMaker.Types.ProcessingJob" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingJob'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "appSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppSpecification)) :: S1 ('MetaSel ('Just "processingResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingResources))))) :: ((S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "processingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingStoppingCondition)))) :: (S1 ('MetaSel ('Just "experimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentConfig)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "processingInputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProcessingInput])))))) :: (((S1 ('MetaSel ('Just "networkConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NetworkConfig)) :: S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "processingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingJobStatus)) :: S1 ('MetaSel ('Just "exitMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "processingOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingOutputConfig)) :: (S1 ('MetaSel ('Just "processingStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "processingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: (S1 ('MetaSel ('Just "processingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))))

newProcessingJob :: ProcessingJob Source #

Create a value of ProcessingJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ProcessingJob', processingJob_creationTime - The time the processing job was created.

$sel:failureReason:ProcessingJob', processingJob_failureReason - A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

$sel:monitoringScheduleArn:ProcessingJob', processingJob_monitoringScheduleArn - The ARN of a monitoring schedule for an endpoint associated with this processing job.

$sel:appSpecification:ProcessingJob', processingJob_appSpecification - Undocumented member.

$sel:processingResources:ProcessingJob', processingJob_processingResources - Undocumented member.

$sel:environment:ProcessingJob', processingJob_environment - Sets the environment variables in the Docker container.

$sel:processingJobName:ProcessingJob', processingJob_processingJobName - The name of the processing job.

$sel:stoppingCondition:ProcessingJob', processingJob_stoppingCondition - Undocumented member.

$sel:experimentConfig:ProcessingJob', processingJob_experimentConfig - Undocumented member.

$sel:lastModifiedTime:ProcessingJob', processingJob_lastModifiedTime - The time the processing job was last modified.

$sel:processingInputs:ProcessingJob', processingJob_processingInputs - List of input configurations for the processing job.

$sel:networkConfig:ProcessingJob', processingJob_networkConfig - Undocumented member.

$sel:autoMLJobArn:ProcessingJob', processingJob_autoMLJobArn - The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

$sel:trainingJobArn:ProcessingJob', processingJob_trainingJobArn - The ARN of the training job associated with this processing job.

$sel:processingJobStatus:ProcessingJob', processingJob_processingJobStatus - The status of the processing job.

$sel:exitMessage:ProcessingJob', processingJob_exitMessage - A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

$sel:processingOutputConfig:ProcessingJob', processingJob_processingOutputConfig - Undocumented member.

$sel:processingStartTime:ProcessingJob', processingJob_processingStartTime - The time that the processing job started.

$sel:processingEndTime:ProcessingJob', processingJob_processingEndTime - The time that the processing job ended.

$sel:tags:ProcessingJob', processingJob_tags - An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

$sel:processingJobArn:ProcessingJob', processingJob_processingJobArn - The ARN of the processing job.

$sel:roleArn:ProcessingJob', processingJob_roleArn - The ARN of the role used to create the processing job.

processingJob_creationTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time the processing job was created.

processingJob_failureReason :: Lens' ProcessingJob (Maybe Text) Source #

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

processingJob_monitoringScheduleArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of a monitoring schedule for an endpoint associated with this processing job.

processingJob_appSpecification :: Lens' ProcessingJob (Maybe AppSpecification) Source #

Undocumented member.

processingJob_processingResources :: Lens' ProcessingJob (Maybe ProcessingResources) Source #

Undocumented member.

processingJob_environment :: Lens' ProcessingJob (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

processingJob_processingJobName :: Lens' ProcessingJob (Maybe Text) Source #

The name of the processing job.

processingJob_stoppingCondition :: Lens' ProcessingJob (Maybe ProcessingStoppingCondition) Source #

Undocumented member.

processingJob_experimentConfig :: Lens' ProcessingJob (Maybe ExperimentConfig) Source #

Undocumented member.

processingJob_lastModifiedTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time the processing job was last modified.

processingJob_processingInputs :: Lens' ProcessingJob (Maybe [ProcessingInput]) Source #

List of input configurations for the processing job.

processingJob_networkConfig :: Lens' ProcessingJob (Maybe NetworkConfig) Source #

Undocumented member.

processingJob_autoMLJobArn :: Lens' ProcessingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

processingJob_trainingJobArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of the training job associated with this processing job.

processingJob_processingJobStatus :: Lens' ProcessingJob (Maybe ProcessingJobStatus) Source #

The status of the processing job.

processingJob_exitMessage :: Lens' ProcessingJob (Maybe Text) Source #

A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

processingJob_processingOutputConfig :: Lens' ProcessingJob (Maybe ProcessingOutputConfig) Source #

Undocumented member.

processingJob_processingStartTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time that the processing job started.

processingJob_processingEndTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time that the processing job ended.

processingJob_tags :: Lens' ProcessingJob (Maybe [Tag]) Source #

An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

processingJob_processingJobArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of the processing job.

processingJob_roleArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of the role used to create the processing job.

ProcessingJobStepMetadata

data ProcessingJobStepMetadata Source #

Metadata for a processing job step.

See: newProcessingJobStepMetadata smart constructor.

Constructors

ProcessingJobStepMetadata'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the processing job.

Instances

Instances details

Eq ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Methods (==) :: ProcessingJobStepMetadata -> ProcessingJobStepMetadata -> Bool # (/=) :: ProcessingJobStepMetadata -> ProcessingJobStepMetadata -> Bool #
Read ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Methods readsPrec :: Int -> ReadS ProcessingJobStepMetadata # readList :: ReadS [ProcessingJobStepMetadata] # readPrec :: ReadPrec ProcessingJobStepMetadata # readListPrec :: ReadPrec [ProcessingJobStepMetadata] #
Show ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Methods showsPrec :: Int -> ProcessingJobStepMetadata -> ShowS # show :: ProcessingJobStepMetadata -> String # showList :: [ProcessingJobStepMetadata] -> ShowS #
Generic ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Associated Types type Rep ProcessingJobStepMetadata :: Type -> Type # Methods from :: ProcessingJobStepMetadata -> Rep ProcessingJobStepMetadata x # to :: Rep ProcessingJobStepMetadata x -> ProcessingJobStepMetadata #
NFData ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Methods rnf :: ProcessingJobStepMetadata -> () #
Hashable ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Methods hashWithSalt :: Int -> ProcessingJobStepMetadata -> Int # hash :: ProcessingJobStepMetadata -> Int #
FromJSON ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata Methods parseJSON :: Value -> Parser ProcessingJobStepMetadata # parseJSONList :: Value -> Parser [ProcessingJobStepMetadata] #
type Rep ProcessingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata type Rep ProcessingJobStepMetadata = D1 ('MetaData "ProcessingJobStepMetadata" "Amazonka.SageMaker.Types.ProcessingJobStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newProcessingJobStepMetadata :: ProcessingJobStepMetadata Source #

Create a value of ProcessingJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:ProcessingJobStepMetadata', processingJobStepMetadata_arn - The Amazon Resource Name (ARN) of the processing job.

processingJobStepMetadata_arn :: Lens' ProcessingJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the processing job.

ProcessingJobSummary

data ProcessingJobSummary Source #

Summary of information about a processing job.

See: newProcessingJobSummary smart constructor.

Constructors

ProcessingJobSummary'

Fields

failureReason :: Maybe Text
A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
lastModifiedTime :: Maybe POSIX
A timestamp that indicates the last time the processing job was modified.
exitMessage :: Maybe Text
An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
processingEndTime :: Maybe POSIX
The time at which the processing job completed.
processingJobName :: Text
The name of the processing job.
processingJobArn :: Text
The Amazon Resource Name (ARN) of the processing job..
creationTime :: POSIX
The time at which the processing job was created.
processingJobStatus :: ProcessingJobStatus
The status of the processing job.

Instances

Instances details

Eq ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Methods (==) :: ProcessingJobSummary -> ProcessingJobSummary -> Bool # (/=) :: ProcessingJobSummary -> ProcessingJobSummary -> Bool #
Read ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Methods readsPrec :: Int -> ReadS ProcessingJobSummary # readList :: ReadS [ProcessingJobSummary] # readPrec :: ReadPrec ProcessingJobSummary # readListPrec :: ReadPrec [ProcessingJobSummary] #
Show ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Methods showsPrec :: Int -> ProcessingJobSummary -> ShowS # show :: ProcessingJobSummary -> String # showList :: [ProcessingJobSummary] -> ShowS #
Generic ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Associated Types type Rep ProcessingJobSummary :: Type -> Type # Methods from :: ProcessingJobSummary -> Rep ProcessingJobSummary x # to :: Rep ProcessingJobSummary x -> ProcessingJobSummary #
NFData ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Methods rnf :: ProcessingJobSummary -> () #
Hashable ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Methods hashWithSalt :: Int -> ProcessingJobSummary -> Int # hash :: ProcessingJobSummary -> Int #
FromJSON ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary Methods parseJSON :: Value -> Parser ProcessingJobSummary # parseJSONList :: Value -> Parser [ProcessingJobSummary] #
type Rep ProcessingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingJobSummary type Rep ProcessingJobSummary = D1 ('MetaData "ProcessingJobSummary" "Amazonka.SageMaker.Types.ProcessingJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "exitMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "processingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "processingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "processingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "processingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingJobStatus)))))

newProcessingJobSummary Source #

Arguments

:: Text	`$sel:processingJobName:ProcessingJobSummary'`
-> Text	`$sel:processingJobArn:ProcessingJobSummary'`
-> UTCTime	`$sel:creationTime:ProcessingJobSummary'`
-> ProcessingJobStatus	`$sel:processingJobStatus:ProcessingJobSummary'`
-> ProcessingJobSummary

Create a value of ProcessingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:ProcessingJobSummary', processingJobSummary_failureReason - A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

$sel:lastModifiedTime:ProcessingJobSummary', processingJobSummary_lastModifiedTime - A timestamp that indicates the last time the processing job was modified.

$sel:exitMessage:ProcessingJobSummary', processingJobSummary_exitMessage - An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

$sel:processingEndTime:ProcessingJobSummary', processingJobSummary_processingEndTime - The time at which the processing job completed.

$sel:processingJobName:ProcessingJobSummary', processingJobSummary_processingJobName - The name of the processing job.

$sel:processingJobArn:ProcessingJobSummary', processingJobSummary_processingJobArn - The Amazon Resource Name (ARN) of the processing job..

$sel:creationTime:ProcessingJobSummary', processingJobSummary_creationTime - The time at which the processing job was created.

$sel:processingJobStatus:ProcessingJobSummary', processingJobSummary_processingJobStatus - The status of the processing job.

processingJobSummary_failureReason :: Lens' ProcessingJobSummary (Maybe Text) Source #

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

processingJobSummary_lastModifiedTime :: Lens' ProcessingJobSummary (Maybe UTCTime) Source #

A timestamp that indicates the last time the processing job was modified.

processingJobSummary_exitMessage :: Lens' ProcessingJobSummary (Maybe Text) Source #

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

processingJobSummary_processingEndTime :: Lens' ProcessingJobSummary (Maybe UTCTime) Source #

The time at which the processing job completed.

processingJobSummary_processingJobName :: Lens' ProcessingJobSummary Text Source #

The name of the processing job.

processingJobSummary_processingJobArn :: Lens' ProcessingJobSummary Text Source #

The Amazon Resource Name (ARN) of the processing job..

processingJobSummary_creationTime :: Lens' ProcessingJobSummary UTCTime Source #

The time at which the processing job was created.

processingJobSummary_processingJobStatus :: Lens' ProcessingJobSummary ProcessingJobStatus Source #

The status of the processing job.

ProcessingOutput

data ProcessingOutput Source #

Describes the results of a processing job. The processing output must specify exactly one of either S3Output or FeatureStoreOutput types.

See: newProcessingOutput smart constructor.

Constructors

ProcessingOutput'

Fields

featureStoreOutput :: Maybe ProcessingFeatureStoreOutput
Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.
s3Output :: Maybe ProcessingS3Output
Configuration for processing job outputs in Amazon S3.
appManaged :: Maybe Bool
When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.
outputName :: Text
The name for the processing job output.

Instances

Instances details

Eq ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods (==) :: ProcessingOutput -> ProcessingOutput -> Bool # (/=) :: ProcessingOutput -> ProcessingOutput -> Bool #
Read ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods readsPrec :: Int -> ReadS ProcessingOutput # readList :: ReadS [ProcessingOutput] # readPrec :: ReadPrec ProcessingOutput # readListPrec :: ReadPrec [ProcessingOutput] #
Show ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods showsPrec :: Int -> ProcessingOutput -> ShowS # show :: ProcessingOutput -> String # showList :: [ProcessingOutput] -> ShowS #
Generic ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Associated Types type Rep ProcessingOutput :: Type -> Type # Methods from :: ProcessingOutput -> Rep ProcessingOutput x # to :: Rep ProcessingOutput x -> ProcessingOutput #
NFData ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods rnf :: ProcessingOutput -> () #
Hashable ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods hashWithSalt :: Int -> ProcessingOutput -> Int # hash :: ProcessingOutput -> Int #
ToJSON ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods toJSON :: ProcessingOutput -> Value # toEncoding :: ProcessingOutput -> Encoding # toJSONList :: [ProcessingOutput] -> Value # toEncodingList :: [ProcessingOutput] -> Encoding #
FromJSON ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput Methods parseJSON :: Value -> Parser ProcessingOutput # parseJSONList :: Value -> Parser [ProcessingOutput] #
type Rep ProcessingOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutput type Rep ProcessingOutput = D1 ('MetaData "ProcessingOutput" "Amazonka.SageMaker.Types.ProcessingOutput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingOutput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "featureStoreOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingFeatureStoreOutput)) :: S1 ('MetaSel ('Just "s3Output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3Output))) :: (S1 ('MetaSel ('Just "appManaged") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "outputName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newProcessingOutput Source #

Arguments

:: Text	`$sel:outputName:ProcessingOutput'`
-> ProcessingOutput

Create a value of ProcessingOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureStoreOutput:ProcessingOutput', processingOutput_featureStoreOutput - Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.

$sel:s3Output:ProcessingOutput', processingOutput_s3Output - Configuration for processing job outputs in Amazon S3.

$sel:appManaged:ProcessingOutput', processingOutput_appManaged - When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.

$sel:outputName:ProcessingOutput', processingOutput_outputName - The name for the processing job output.

processingOutput_featureStoreOutput :: Lens' ProcessingOutput (Maybe ProcessingFeatureStoreOutput) Source #

Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.

processingOutput_s3Output :: Lens' ProcessingOutput (Maybe ProcessingS3Output) Source #

Configuration for processing job outputs in Amazon S3.

processingOutput_appManaged :: Lens' ProcessingOutput (Maybe Bool) Source #

When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.

processingOutput_outputName :: Lens' ProcessingOutput Text Source #

The name for the processing job output.

ProcessingOutputConfig

data ProcessingOutputConfig Source #

Configuration for uploading output from the processing container.

See: newProcessingOutputConfig smart constructor.

Constructors

ProcessingOutputConfig'

Fields

kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.
outputs :: [ProcessingOutput]
An array of outputs configuring the data to upload from the processing container.

Instances

Instances details

Eq ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods (==) :: ProcessingOutputConfig -> ProcessingOutputConfig -> Bool # (/=) :: ProcessingOutputConfig -> ProcessingOutputConfig -> Bool #
Read ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods readsPrec :: Int -> ReadS ProcessingOutputConfig # readList :: ReadS [ProcessingOutputConfig] # readPrec :: ReadPrec ProcessingOutputConfig # readListPrec :: ReadPrec [ProcessingOutputConfig] #
Show ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods showsPrec :: Int -> ProcessingOutputConfig -> ShowS # show :: ProcessingOutputConfig -> String # showList :: [ProcessingOutputConfig] -> ShowS #
Generic ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Associated Types type Rep ProcessingOutputConfig :: Type -> Type # Methods from :: ProcessingOutputConfig -> Rep ProcessingOutputConfig x # to :: Rep ProcessingOutputConfig x -> ProcessingOutputConfig #
NFData ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods rnf :: ProcessingOutputConfig -> () #
Hashable ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods hashWithSalt :: Int -> ProcessingOutputConfig -> Int # hash :: ProcessingOutputConfig -> Int #
ToJSON ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods toJSON :: ProcessingOutputConfig -> Value # toEncoding :: ProcessingOutputConfig -> Encoding # toJSONList :: [ProcessingOutputConfig] -> Value # toEncodingList :: [ProcessingOutputConfig] -> Encoding #
FromJSON ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig Methods parseJSON :: Value -> Parser ProcessingOutputConfig # parseJSONList :: Value -> Parser [ProcessingOutputConfig] #
type Rep ProcessingOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig type Rep ProcessingOutputConfig = D1 ('MetaData "ProcessingOutputConfig" "Amazonka.SageMaker.Types.ProcessingOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ProcessingOutput])))

newProcessingOutputConfig :: ProcessingOutputConfig Source #

Create a value of ProcessingOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:ProcessingOutputConfig', processingOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.

$sel:outputs:ProcessingOutputConfig', processingOutputConfig_outputs - An array of outputs configuring the data to upload from the processing container.

processingOutputConfig_kmsKeyId :: Lens' ProcessingOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.

processingOutputConfig_outputs :: Lens' ProcessingOutputConfig [ProcessingOutput] Source #

An array of outputs configuring the data to upload from the processing container.

ProcessingResources

data ProcessingResources Source #

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

See: newProcessingResources smart constructor.

Constructors

ProcessingResources'
Fields clusterConfig :: ProcessingClusterConfig The configuration for the resources in a cluster used to run the processing job.

Instances

Instances details

Eq ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods (==) :: ProcessingResources -> ProcessingResources -> Bool # (/=) :: ProcessingResources -> ProcessingResources -> Bool #
Read ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods readsPrec :: Int -> ReadS ProcessingResources # readList :: ReadS [ProcessingResources] # readPrec :: ReadPrec ProcessingResources # readListPrec :: ReadPrec [ProcessingResources] #
Show ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods showsPrec :: Int -> ProcessingResources -> ShowS # show :: ProcessingResources -> String # showList :: [ProcessingResources] -> ShowS #
Generic ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Associated Types type Rep ProcessingResources :: Type -> Type # Methods from :: ProcessingResources -> Rep ProcessingResources x # to :: Rep ProcessingResources x -> ProcessingResources #
NFData ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods rnf :: ProcessingResources -> () #
Hashable ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods hashWithSalt :: Int -> ProcessingResources -> Int # hash :: ProcessingResources -> Int #
ToJSON ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods toJSON :: ProcessingResources -> Value # toEncoding :: ProcessingResources -> Encoding # toJSONList :: [ProcessingResources] -> Value # toEncodingList :: [ProcessingResources] -> Encoding #
FromJSON ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources Methods parseJSON :: Value -> Parser ProcessingResources # parseJSONList :: Value -> Parser [ProcessingResources] #
type Rep ProcessingResources Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingResources type Rep ProcessingResources = D1 ('MetaData "ProcessingResources" "Amazonka.SageMaker.Types.ProcessingResources" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingResources'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clusterConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingClusterConfig)))

newProcessingResources Source #

Arguments

:: ProcessingClusterConfig	`$sel:clusterConfig:ProcessingResources'`
-> ProcessingResources

Create a value of ProcessingResources with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clusterConfig:ProcessingResources', processingResources_clusterConfig - The configuration for the resources in a cluster used to run the processing job.

processingResources_clusterConfig :: Lens' ProcessingResources ProcessingClusterConfig Source #

The configuration for the resources in a cluster used to run the processing job.

ProcessingS3Input

data ProcessingS3Input Source #

Configuration for downloading input data from Amazon S3 into the processing container.

See: newProcessingS3Input smart constructor.

Constructors

ProcessingS3Input'

Fields

s3DataDistributionType :: Maybe ProcessingS3DataDistributionType
Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.
s3InputMode :: Maybe ProcessingS3InputMode
Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.
localPath :: Maybe Text
The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).
s3CompressionType :: Maybe ProcessingS3CompressionType
Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.
s3Uri :: Text
The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.
s3DataType :: ProcessingS3DataType
Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

Instances

Instances details

Eq ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods (==) :: ProcessingS3Input -> ProcessingS3Input -> Bool # (/=) :: ProcessingS3Input -> ProcessingS3Input -> Bool #
Read ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods readsPrec :: Int -> ReadS ProcessingS3Input # readList :: ReadS [ProcessingS3Input] # readPrec :: ReadPrec ProcessingS3Input # readListPrec :: ReadPrec [ProcessingS3Input] #
Show ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods showsPrec :: Int -> ProcessingS3Input -> ShowS # show :: ProcessingS3Input -> String # showList :: [ProcessingS3Input] -> ShowS #
Generic ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Associated Types type Rep ProcessingS3Input :: Type -> Type # Methods from :: ProcessingS3Input -> Rep ProcessingS3Input x # to :: Rep ProcessingS3Input x -> ProcessingS3Input #
NFData ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods rnf :: ProcessingS3Input -> () #
Hashable ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods hashWithSalt :: Int -> ProcessingS3Input -> Int # hash :: ProcessingS3Input -> Int #
ToJSON ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods toJSON :: ProcessingS3Input -> Value # toEncoding :: ProcessingS3Input -> Encoding # toJSONList :: [ProcessingS3Input] -> Value # toEncodingList :: [ProcessingS3Input] -> Encoding #
FromJSON ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input Methods parseJSON :: Value -> Parser ProcessingS3Input # parseJSONList :: Value -> Parser [ProcessingS3Input] #
type Rep ProcessingS3Input Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Input type Rep ProcessingS3Input = D1 ('MetaData "ProcessingS3Input" "Amazonka.SageMaker.Types.ProcessingS3Input" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingS3Input'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3DataDistributionType)) :: (S1 ('MetaSel ('Just "s3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3InputMode)) :: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "s3CompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3CompressionType)) :: (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingS3DataType)))))

newProcessingS3Input Source #

Arguments

:: Text	`$sel:s3Uri:ProcessingS3Input'`
-> ProcessingS3DataType	`$sel:s3DataType:ProcessingS3Input'`
-> ProcessingS3Input

Create a value of ProcessingS3Input with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataDistributionType:ProcessingS3Input', processingS3Input_s3DataDistributionType - Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

$sel:s3InputMode:ProcessingS3Input', processingS3Input_s3InputMode - Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

$sel:localPath:ProcessingS3Input', processingS3Input_localPath - The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

$sel:s3CompressionType:ProcessingS3Input', processingS3Input_s3CompressionType - Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

$sel:s3Uri:ProcessingS3Input', processingS3Input_s3Uri - The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

$sel:s3DataType:ProcessingS3Input', processingS3Input_s3DataType - Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

processingS3Input_s3DataDistributionType :: Lens' ProcessingS3Input (Maybe ProcessingS3DataDistributionType) Source #

Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

processingS3Input_s3InputMode :: Lens' ProcessingS3Input (Maybe ProcessingS3InputMode) Source #

Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

processingS3Input_localPath :: Lens' ProcessingS3Input (Maybe Text) Source #

The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

processingS3Input_s3CompressionType :: Lens' ProcessingS3Input (Maybe ProcessingS3CompressionType) Source #

Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

processingS3Input_s3Uri :: Lens' ProcessingS3Input Text Source #

The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

processingS3Input_s3DataType :: Lens' ProcessingS3Input ProcessingS3DataType Source #

Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

ProcessingS3Output

data ProcessingS3Output Source #

Configuration for uploading output data to Amazon S3 from the processing container.

See: newProcessingS3Output smart constructor.

Constructors

ProcessingS3Output'

Fields

s3Uri :: Text
A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.
localPath :: Text
The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.
s3UploadMode :: ProcessingS3UploadMode
Whether to upload the results of the processing job continuously or after the job completes.

Instances

Instances details

Eq ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods (==) :: ProcessingS3Output -> ProcessingS3Output -> Bool # (/=) :: ProcessingS3Output -> ProcessingS3Output -> Bool #
Read ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods readsPrec :: Int -> ReadS ProcessingS3Output # readList :: ReadS [ProcessingS3Output] # readPrec :: ReadPrec ProcessingS3Output # readListPrec :: ReadPrec [ProcessingS3Output] #
Show ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods showsPrec :: Int -> ProcessingS3Output -> ShowS # show :: ProcessingS3Output -> String # showList :: [ProcessingS3Output] -> ShowS #
Generic ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Associated Types type Rep ProcessingS3Output :: Type -> Type # Methods from :: ProcessingS3Output -> Rep ProcessingS3Output x # to :: Rep ProcessingS3Output x -> ProcessingS3Output #
NFData ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods rnf :: ProcessingS3Output -> () #
Hashable ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods hashWithSalt :: Int -> ProcessingS3Output -> Int # hash :: ProcessingS3Output -> Int #
ToJSON ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods toJSON :: ProcessingS3Output -> Value # toEncoding :: ProcessingS3Output -> Encoding # toJSONList :: [ProcessingS3Output] -> Value # toEncodingList :: [ProcessingS3Output] -> Encoding #
FromJSON ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output Methods parseJSON :: Value -> Parser ProcessingS3Output # parseJSONList :: Value -> Parser [ProcessingS3Output] #
type Rep ProcessingS3Output Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingS3Output type Rep ProcessingS3Output = D1 ('MetaData "ProcessingS3Output" "Amazonka.SageMaker.Types.ProcessingS3Output" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingS3Output'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "s3UploadMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingS3UploadMode))))

newProcessingS3Output Source #

Arguments

:: Text	`$sel:s3Uri:ProcessingS3Output'`
-> Text	`$sel:localPath:ProcessingS3Output'`
-> ProcessingS3UploadMode	`$sel:s3UploadMode:ProcessingS3Output'`
-> ProcessingS3Output

Create a value of ProcessingS3Output with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:ProcessingS3Output', processingS3Output_s3Uri - A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.

$sel:localPath:ProcessingS3Output', processingS3Output_localPath - The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.

$sel:s3UploadMode:ProcessingS3Output', processingS3Output_s3UploadMode - Whether to upload the results of the processing job continuously or after the job completes.

processingS3Output_s3Uri :: Lens' ProcessingS3Output Text Source #

A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.

processingS3Output_localPath :: Lens' ProcessingS3Output Text Source #

The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.

processingS3Output_s3UploadMode :: Lens' ProcessingS3Output ProcessingS3UploadMode Source #

Whether to upload the results of the processing job continuously or after the job completes.

ProcessingStoppingCondition

data ProcessingStoppingCondition Source #

Configures conditions under which the processing job should be stopped, such as how long the processing job has been running. After the condition is met, the processing job is stopped.

See: newProcessingStoppingCondition smart constructor.

Constructors

ProcessingStoppingCondition'
Fields maxRuntimeInSeconds :: Natural Specifies the maximum runtime in seconds.

Instances

Instances details

Eq ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods (==) :: ProcessingStoppingCondition -> ProcessingStoppingCondition -> Bool # (/=) :: ProcessingStoppingCondition -> ProcessingStoppingCondition -> Bool #
Read ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods readsPrec :: Int -> ReadS ProcessingStoppingCondition # readList :: ReadS [ProcessingStoppingCondition] # readPrec :: ReadPrec ProcessingStoppingCondition # readListPrec :: ReadPrec [ProcessingStoppingCondition] #
Show ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods showsPrec :: Int -> ProcessingStoppingCondition -> ShowS # show :: ProcessingStoppingCondition -> String # showList :: [ProcessingStoppingCondition] -> ShowS #
Generic ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Associated Types type Rep ProcessingStoppingCondition :: Type -> Type # Methods from :: ProcessingStoppingCondition -> Rep ProcessingStoppingCondition x # to :: Rep ProcessingStoppingCondition x -> ProcessingStoppingCondition #
NFData ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods rnf :: ProcessingStoppingCondition -> () #
Hashable ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods hashWithSalt :: Int -> ProcessingStoppingCondition -> Int # hash :: ProcessingStoppingCondition -> Int #
ToJSON ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods toJSON :: ProcessingStoppingCondition -> Value # toEncoding :: ProcessingStoppingCondition -> Encoding # toJSONList :: [ProcessingStoppingCondition] -> Value # toEncodingList :: [ProcessingStoppingCondition] -> Encoding #
FromJSON ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition Methods parseJSON :: Value -> Parser ProcessingStoppingCondition # parseJSONList :: Value -> Parser [ProcessingStoppingCondition] #
type Rep ProcessingStoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition type Rep ProcessingStoppingCondition = D1 ('MetaData "ProcessingStoppingCondition" "Amazonka.SageMaker.Types.ProcessingStoppingCondition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProcessingStoppingCondition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newProcessingStoppingCondition Source #

Arguments

:: Natural	`$sel:maxRuntimeInSeconds:ProcessingStoppingCondition'`
-> ProcessingStoppingCondition

Create a value of ProcessingStoppingCondition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxRuntimeInSeconds:ProcessingStoppingCondition', processingStoppingCondition_maxRuntimeInSeconds - Specifies the maximum runtime in seconds.

processingStoppingCondition_maxRuntimeInSeconds :: Lens' ProcessingStoppingCondition Natural Source #

Specifies the maximum runtime in seconds.

ProductionVariant

data ProductionVariant Source #

Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell Amazon SageMaker how to distribute traffic among the models by specifying variant weights.

See: newProductionVariant smart constructor.

Constructors

ProductionVariant'

Fields

acceleratorType :: Maybe ProductionVariantAcceleratorType
The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.
coreDumpConfig :: Maybe ProductionVariantCoreDumpConfig
Specifies configuration for a core dump from the model container when the process crashes.
initialVariantWeight :: Maybe Double
Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.
variantName :: Text
The name of the production variant.
modelName :: Text
The name of the model that you want to host. This is the name that you specified when creating the model.
initialInstanceCount :: Natural
Number of instances to launch initially.
instanceType :: ProductionVariantInstanceType
The ML compute instance type.

Instances

Instances details

Eq ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods (==) :: ProductionVariant -> ProductionVariant -> Bool # (/=) :: ProductionVariant -> ProductionVariant -> Bool #
Read ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods readsPrec :: Int -> ReadS ProductionVariant # readList :: ReadS [ProductionVariant] # readPrec :: ReadPrec ProductionVariant # readListPrec :: ReadPrec [ProductionVariant] #
Show ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods showsPrec :: Int -> ProductionVariant -> ShowS # show :: ProductionVariant -> String # showList :: [ProductionVariant] -> ShowS #
Generic ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Associated Types type Rep ProductionVariant :: Type -> Type # Methods from :: ProductionVariant -> Rep ProductionVariant x # to :: Rep ProductionVariant x -> ProductionVariant #
NFData ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods rnf :: ProductionVariant -> () #
Hashable ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods hashWithSalt :: Int -> ProductionVariant -> Int # hash :: ProductionVariant -> Int #
ToJSON ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods toJSON :: ProductionVariant -> Value # toEncoding :: ProductionVariant -> Encoding # toJSONList :: [ProductionVariant] -> Value # toEncodingList :: [ProductionVariant] -> Encoding #
FromJSON ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant Methods parseJSON :: Value -> Parser ProductionVariant # parseJSONList :: Value -> Parser [ProductionVariant] #
type Rep ProductionVariant Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariant type Rep ProductionVariant = D1 ('MetaData "ProductionVariant" "Amazonka.SageMaker.Types.ProductionVariant" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProductionVariant'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "acceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantAcceleratorType)) :: (S1 ('MetaSel ('Just "coreDumpConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantCoreDumpConfig)) :: S1 ('MetaSel ('Just "initialVariantWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: ((S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "initialInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProductionVariantInstanceType)))))

newProductionVariant Source #

Arguments

:: Text	`$sel:variantName:ProductionVariant'`
-> Text	`$sel:modelName:ProductionVariant'`
-> Natural	`$sel:initialInstanceCount:ProductionVariant'`
-> ProductionVariantInstanceType	`$sel:instanceType:ProductionVariant'`
-> ProductionVariant

Create a value of ProductionVariant with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:acceleratorType:ProductionVariant', productionVariant_acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

$sel:coreDumpConfig:ProductionVariant', productionVariant_coreDumpConfig - Specifies configuration for a core dump from the model container when the process crashes.

$sel:initialVariantWeight:ProductionVariant', productionVariant_initialVariantWeight - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

$sel:variantName:ProductionVariant', productionVariant_variantName - The name of the production variant.

$sel:modelName:ProductionVariant', productionVariant_modelName - The name of the model that you want to host. This is the name that you specified when creating the model.

$sel:initialInstanceCount:ProductionVariant', productionVariant_initialInstanceCount - Number of instances to launch initially.

$sel:instanceType:ProductionVariant', productionVariant_instanceType - The ML compute instance type.

productionVariant_acceleratorType :: Lens' ProductionVariant (Maybe ProductionVariantAcceleratorType) Source #

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

productionVariant_coreDumpConfig :: Lens' ProductionVariant (Maybe ProductionVariantCoreDumpConfig) Source #

Specifies configuration for a core dump from the model container when the process crashes.

productionVariant_initialVariantWeight :: Lens' ProductionVariant (Maybe Double) Source #

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

productionVariant_variantName :: Lens' ProductionVariant Text Source #

The name of the production variant.

productionVariant_modelName :: Lens' ProductionVariant Text Source #

The name of the model that you want to host. This is the name that you specified when creating the model.

productionVariant_initialInstanceCount :: Lens' ProductionVariant Natural Source #

Number of instances to launch initially.

productionVariant_instanceType :: Lens' ProductionVariant ProductionVariantInstanceType Source #

The ML compute instance type.

ProductionVariantCoreDumpConfig

data ProductionVariantCoreDumpConfig Source #

Specifies configuration for a core dump from the model container when the process crashes.

See: newProductionVariantCoreDumpConfig smart constructor.

Constructors

ProductionVariantCoreDumpConfig'

Fields

kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
- // KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```
- // Amazon Resource Name (ARN) of a KMS Key
```
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
```
- // KMS Key Alias
```
"alias/ExampleAlias"
```
- // Amazon Resource Name (ARN) of a KMS Key Alias
```
"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"
```
If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
destinationS3Uri :: Text
The Amazon S3 bucket to send the core dump to.

Instances

Instances details

Eq ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods (==) :: ProductionVariantCoreDumpConfig -> ProductionVariantCoreDumpConfig -> Bool # (/=) :: ProductionVariantCoreDumpConfig -> ProductionVariantCoreDumpConfig -> Bool #
Read ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods readsPrec :: Int -> ReadS ProductionVariantCoreDumpConfig # readList :: ReadS [ProductionVariantCoreDumpConfig] # readPrec :: ReadPrec ProductionVariantCoreDumpConfig # readListPrec :: ReadPrec [ProductionVariantCoreDumpConfig] #
Show ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods showsPrec :: Int -> ProductionVariantCoreDumpConfig -> ShowS # show :: ProductionVariantCoreDumpConfig -> String # showList :: [ProductionVariantCoreDumpConfig] -> ShowS #
Generic ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Associated Types type Rep ProductionVariantCoreDumpConfig :: Type -> Type # Methods from :: ProductionVariantCoreDumpConfig -> Rep ProductionVariantCoreDumpConfig x # to :: Rep ProductionVariantCoreDumpConfig x -> ProductionVariantCoreDumpConfig #
NFData ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods rnf :: ProductionVariantCoreDumpConfig -> () #
Hashable ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods hashWithSalt :: Int -> ProductionVariantCoreDumpConfig -> Int # hash :: ProductionVariantCoreDumpConfig -> Int #
ToJSON ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods toJSON :: ProductionVariantCoreDumpConfig -> Value # toEncoding :: ProductionVariantCoreDumpConfig -> Encoding # toJSONList :: [ProductionVariantCoreDumpConfig] -> Value # toEncodingList :: [ProductionVariantCoreDumpConfig] -> Encoding #
FromJSON ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig Methods parseJSON :: Value -> Parser ProductionVariantCoreDumpConfig # parseJSONList :: Value -> Parser [ProductionVariantCoreDumpConfig] #
type Rep ProductionVariantCoreDumpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig type Rep ProductionVariantCoreDumpConfig = D1 ('MetaData "ProductionVariantCoreDumpConfig" "Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProductionVariantCoreDumpConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newProductionVariantCoreDumpConfig Source #

Arguments

:: Text	`$sel:destinationS3Uri:ProductionVariantCoreDumpConfig'`
-> ProductionVariantCoreDumpConfig

Create a value of ProductionVariantCoreDumpConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:ProductionVariantCoreDumpConfig', productionVariantCoreDumpConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

// KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

// KMS Key Alias
```
"alias/ExampleAlias"
```

// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

$sel:destinationS3Uri:ProductionVariantCoreDumpConfig', productionVariantCoreDumpConfig_destinationS3Uri - The Amazon S3 bucket to send the core dump to.

productionVariantCoreDumpConfig_kmsKeyId :: Lens' ProductionVariantCoreDumpConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

// KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

// KMS Key Alias
```
"alias/ExampleAlias"
```

// Amazon Resource Name (ARN) of a KMS Key Alias

"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

productionVariantCoreDumpConfig_destinationS3Uri :: Lens' ProductionVariantCoreDumpConfig Text Source #

The Amazon S3 bucket to send the core dump to.

ProductionVariantSummary

data ProductionVariantSummary Source #

Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the UpdateEndpointWeightsAndCapacities API and the endpoint status is Updating, you get different desired and current values.

See: newProductionVariantSummary smart constructor.

Constructors

ProductionVariantSummary'

Fields

desiredInstanceCount :: Maybe Natural
The number of instances requested in the UpdateEndpointWeightsAndCapacities request.
desiredWeight :: Maybe Double
The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.
currentWeight :: Maybe Double
The weight associated with the variant.
currentInstanceCount :: Maybe Natural
The number of instances associated with the variant.
deployedImages :: Maybe [DeployedImage]
An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.
variantName :: Text
The name of the variant.

Instances

Instances details

Eq ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Methods (==) :: ProductionVariantSummary -> ProductionVariantSummary -> Bool # (/=) :: ProductionVariantSummary -> ProductionVariantSummary -> Bool #
Read ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Methods readsPrec :: Int -> ReadS ProductionVariantSummary # readList :: ReadS [ProductionVariantSummary] # readPrec :: ReadPrec ProductionVariantSummary # readListPrec :: ReadPrec [ProductionVariantSummary] #
Show ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Methods showsPrec :: Int -> ProductionVariantSummary -> ShowS # show :: ProductionVariantSummary -> String # showList :: [ProductionVariantSummary] -> ShowS #
Generic ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Associated Types type Rep ProductionVariantSummary :: Type -> Type # Methods from :: ProductionVariantSummary -> Rep ProductionVariantSummary x # to :: Rep ProductionVariantSummary x -> ProductionVariantSummary #
NFData ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Methods rnf :: ProductionVariantSummary -> () #
Hashable ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Methods hashWithSalt :: Int -> ProductionVariantSummary -> Int # hash :: ProductionVariantSummary -> Int #
FromJSON ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary Methods parseJSON :: Value -> Parser ProductionVariantSummary # parseJSONList :: Value -> Parser [ProductionVariantSummary] #
type Rep ProductionVariantSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProductionVariantSummary type Rep ProductionVariantSummary = D1 ('MetaData "ProductionVariantSummary" "Amazonka.SageMaker.Types.ProductionVariantSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProductionVariantSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "desiredInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "desiredWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "currentWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "currentInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "deployedImages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DeployedImage])) :*: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newProductionVariantSummary Source #

Arguments

:: Text	`$sel:variantName:ProductionVariantSummary'`
-> ProductionVariantSummary

Create a value of ProductionVariantSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:desiredInstanceCount:ProductionVariantSummary', productionVariantSummary_desiredInstanceCount - The number of instances requested in the UpdateEndpointWeightsAndCapacities request.

$sel:desiredWeight:ProductionVariantSummary', productionVariantSummary_desiredWeight - The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.

$sel:currentWeight:ProductionVariantSummary', productionVariantSummary_currentWeight - The weight associated with the variant.

$sel:currentInstanceCount:ProductionVariantSummary', productionVariantSummary_currentInstanceCount - The number of instances associated with the variant.

$sel:deployedImages:ProductionVariantSummary', productionVariantSummary_deployedImages - An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

$sel:variantName:ProductionVariantSummary', productionVariantSummary_variantName - The name of the variant.

productionVariantSummary_desiredInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural) Source #

The number of instances requested in the UpdateEndpointWeightsAndCapacities request.

productionVariantSummary_desiredWeight :: Lens' ProductionVariantSummary (Maybe Double) Source #

The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.

productionVariantSummary_currentWeight :: Lens' ProductionVariantSummary (Maybe Double) Source #

The weight associated with the variant.

productionVariantSummary_currentInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural) Source #

The number of instances associated with the variant.

productionVariantSummary_deployedImages :: Lens' ProductionVariantSummary (Maybe [DeployedImage]) Source #

An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

productionVariantSummary_variantName :: Lens' ProductionVariantSummary Text Source #

The name of the variant.

ProfilerConfig

data ProfilerConfig Source #

Configuration information for Debugger system monitoring, framework profiling, and storage paths.

See: newProfilerConfig smart constructor.

Constructors

ProfilerConfig'

Fields

profilingParameters :: Maybe (HashMap Text Text)
Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
profilingIntervalInMilliseconds :: Maybe Integer
A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
s3OutputPath :: Text
Path to Amazon S3 storage location for system and framework metrics.

Instances

Instances details

Eq ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods (==) :: ProfilerConfig -> ProfilerConfig -> Bool # (/=) :: ProfilerConfig -> ProfilerConfig -> Bool #
Read ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods readsPrec :: Int -> ReadS ProfilerConfig # readList :: ReadS [ProfilerConfig] # readPrec :: ReadPrec ProfilerConfig # readListPrec :: ReadPrec [ProfilerConfig] #
Show ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods showsPrec :: Int -> ProfilerConfig -> ShowS # show :: ProfilerConfig -> String # showList :: [ProfilerConfig] -> ShowS #
Generic ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Associated Types type Rep ProfilerConfig :: Type -> Type # Methods from :: ProfilerConfig -> Rep ProfilerConfig x # to :: Rep ProfilerConfig x -> ProfilerConfig #
NFData ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods rnf :: ProfilerConfig -> () #
Hashable ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods hashWithSalt :: Int -> ProfilerConfig -> Int # hash :: ProfilerConfig -> Int #
ToJSON ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods toJSON :: ProfilerConfig -> Value # toEncoding :: ProfilerConfig -> Encoding # toJSONList :: [ProfilerConfig] -> Value # toEncodingList :: [ProfilerConfig] -> Encoding #
FromJSON ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig Methods parseJSON :: Value -> Parser ProfilerConfig # parseJSONList :: Value -> Parser [ProfilerConfig] #
type Rep ProfilerConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfig type Rep ProfilerConfig = D1 ('MetaData "ProfilerConfig" "Amazonka.SageMaker.Types.ProfilerConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProfilerConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "profilingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "profilingIntervalInMilliseconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newProfilerConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:ProfilerConfig'`
-> ProfilerConfig

Create a value of ProfilerConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:profilingParameters:ProfilerConfig', profilerConfig_profilingParameters - Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

$sel:profilingIntervalInMilliseconds:ProfilerConfig', profilerConfig_profilingIntervalInMilliseconds - A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

$sel:s3OutputPath:ProfilerConfig', profilerConfig_s3OutputPath - Path to Amazon S3 storage location for system and framework metrics.

profilerConfig_profilingParameters :: Lens' ProfilerConfig (Maybe (HashMap Text Text)) Source #

Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

profilerConfig_profilingIntervalInMilliseconds :: Lens' ProfilerConfig (Maybe Integer) Source #

A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

profilerConfig_s3OutputPath :: Lens' ProfilerConfig Text Source #

Path to Amazon S3 storage location for system and framework metrics.

ProfilerConfigForUpdate

data ProfilerConfigForUpdate Source #

Configuration information for updating the Debugger profile parameters, system and framework metrics configurations, and storage paths.

See: newProfilerConfigForUpdate smart constructor.

Constructors

ProfilerConfigForUpdate'

Fields

profilingParameters :: Maybe (HashMap Text Text)
Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.
s3OutputPath :: Maybe Text
Path to Amazon S3 storage location for system and framework metrics.
profilingIntervalInMilliseconds :: Maybe Integer
A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.
disableProfiler :: Maybe Bool
To disable Debugger monitoring and profiling, set to True.

Instances

Instances details

Eq ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Methods (==) :: ProfilerConfigForUpdate -> ProfilerConfigForUpdate -> Bool # (/=) :: ProfilerConfigForUpdate -> ProfilerConfigForUpdate -> Bool #
Read ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Methods readsPrec :: Int -> ReadS ProfilerConfigForUpdate # readList :: ReadS [ProfilerConfigForUpdate] # readPrec :: ReadPrec ProfilerConfigForUpdate # readListPrec :: ReadPrec [ProfilerConfigForUpdate] #
Show ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Methods showsPrec :: Int -> ProfilerConfigForUpdate -> ShowS # show :: ProfilerConfigForUpdate -> String # showList :: [ProfilerConfigForUpdate] -> ShowS #
Generic ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Associated Types type Rep ProfilerConfigForUpdate :: Type -> Type # Methods from :: ProfilerConfigForUpdate -> Rep ProfilerConfigForUpdate x # to :: Rep ProfilerConfigForUpdate x -> ProfilerConfigForUpdate #
NFData ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Methods rnf :: ProfilerConfigForUpdate -> () #
Hashable ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Methods hashWithSalt :: Int -> ProfilerConfigForUpdate -> Int # hash :: ProfilerConfigForUpdate -> Int #
ToJSON ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate Methods toJSON :: ProfilerConfigForUpdate -> Value # toEncoding :: ProfilerConfigForUpdate -> Encoding # toJSONList :: [ProfilerConfigForUpdate] -> Value # toEncodingList :: [ProfilerConfigForUpdate] -> Encoding #
type Rep ProfilerConfigForUpdate Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate type Rep ProfilerConfigForUpdate = D1 ('MetaData "ProfilerConfigForUpdate" "Amazonka.SageMaker.Types.ProfilerConfigForUpdate" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProfilerConfigForUpdate'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "profilingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "profilingIntervalInMilliseconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer)) :*: S1 ('MetaSel ('Just "disableProfiler") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))))

newProfilerConfigForUpdate :: ProfilerConfigForUpdate Source #

Create a value of ProfilerConfigForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:profilingParameters:ProfilerConfigForUpdate', profilerConfigForUpdate_profilingParameters - Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

$sel:s3OutputPath:ProfilerConfigForUpdate', profilerConfigForUpdate_s3OutputPath - Path to Amazon S3 storage location for system and framework metrics.

$sel:profilingIntervalInMilliseconds:ProfilerConfigForUpdate', profilerConfigForUpdate_profilingIntervalInMilliseconds - A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

$sel:disableProfiler:ProfilerConfigForUpdate', profilerConfigForUpdate_disableProfiler - To disable Debugger monitoring and profiling, set to True.

profilerConfigForUpdate_profilingParameters :: Lens' ProfilerConfigForUpdate (Maybe (HashMap Text Text)) Source #

Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

profilerConfigForUpdate_s3OutputPath :: Lens' ProfilerConfigForUpdate (Maybe Text) Source #

Path to Amazon S3 storage location for system and framework metrics.

profilerConfigForUpdate_profilingIntervalInMilliseconds :: Lens' ProfilerConfigForUpdate (Maybe Integer) Source #

A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

profilerConfigForUpdate_disableProfiler :: Lens' ProfilerConfigForUpdate (Maybe Bool) Source #

To disable Debugger monitoring and profiling, set to True.

ProfilerRuleConfiguration

data ProfilerRuleConfiguration Source #

Configuration information for profiling rules.

See: newProfilerRuleConfiguration smart constructor.

Constructors

ProfilerRuleConfiguration'

Fields

ruleParameters :: Maybe (HashMap Text Text)
Runtime configuration for rule container.
s3OutputPath :: Maybe Text
Path to Amazon S3 storage location for rules.
localPath :: Maybe Text
Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.
instanceType :: Maybe ProcessingInstanceType
The instance type to deploy a Debugger custom rule for profiling a training job.
volumeSizeInGB :: Maybe Natural
The size, in GB, of the ML storage volume attached to the processing instance.
ruleConfigurationName :: Text
The name of the rule configuration. It must be unique relative to other rule configuration names.
ruleEvaluatorImage :: Text
The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

Instances

Instances details

Eq ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods (==) :: ProfilerRuleConfiguration -> ProfilerRuleConfiguration -> Bool # (/=) :: ProfilerRuleConfiguration -> ProfilerRuleConfiguration -> Bool #
Read ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods readsPrec :: Int -> ReadS ProfilerRuleConfiguration # readList :: ReadS [ProfilerRuleConfiguration] # readPrec :: ReadPrec ProfilerRuleConfiguration # readListPrec :: ReadPrec [ProfilerRuleConfiguration] #
Show ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods showsPrec :: Int -> ProfilerRuleConfiguration -> ShowS # show :: ProfilerRuleConfiguration -> String # showList :: [ProfilerRuleConfiguration] -> ShowS #
Generic ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Associated Types type Rep ProfilerRuleConfiguration :: Type -> Type # Methods from :: ProfilerRuleConfiguration -> Rep ProfilerRuleConfiguration x # to :: Rep ProfilerRuleConfiguration x -> ProfilerRuleConfiguration #
NFData ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods rnf :: ProfilerRuleConfiguration -> () #
Hashable ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods hashWithSalt :: Int -> ProfilerRuleConfiguration -> Int # hash :: ProfilerRuleConfiguration -> Int #
ToJSON ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods toJSON :: ProfilerRuleConfiguration -> Value # toEncoding :: ProfilerRuleConfiguration -> Encoding # toJSONList :: [ProfilerRuleConfiguration] -> Value # toEncodingList :: [ProfilerRuleConfiguration] -> Encoding #
FromJSON ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration Methods parseJSON :: Value -> Parser ProfilerRuleConfiguration # parseJSONList :: Value -> Parser [ProfilerRuleConfiguration] #
type Rep ProfilerRuleConfiguration Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration type Rep ProfilerRuleConfiguration = D1 ('MetaData "ProfilerRuleConfiguration" "Amazonka.SageMaker.Types.ProfilerRuleConfiguration" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProfilerRuleConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "ruleParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingInstanceType)) :: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "ruleEvaluatorImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newProfilerRuleConfiguration Source #

Arguments

:: Text	`$sel:ruleConfigurationName:ProfilerRuleConfiguration'`
-> Text	`$sel:ruleEvaluatorImage:ProfilerRuleConfiguration'`
-> ProfilerRuleConfiguration

Create a value of ProfilerRuleConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:ruleParameters:ProfilerRuleConfiguration', profilerRuleConfiguration_ruleParameters - Runtime configuration for rule container.

$sel:s3OutputPath:ProfilerRuleConfiguration', profilerRuleConfiguration_s3OutputPath - Path to Amazon S3 storage location for rules.

$sel:localPath:ProfilerRuleConfiguration', profilerRuleConfiguration_localPath - Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

$sel:instanceType:ProfilerRuleConfiguration', profilerRuleConfiguration_instanceType - The instance type to deploy a Debugger custom rule for profiling a training job.

$sel:volumeSizeInGB:ProfilerRuleConfiguration', profilerRuleConfiguration_volumeSizeInGB - The size, in GB, of the ML storage volume attached to the processing instance.

$sel:ruleConfigurationName:ProfilerRuleConfiguration', profilerRuleConfiguration_ruleConfigurationName - The name of the rule configuration. It must be unique relative to other rule configuration names.

$sel:ruleEvaluatorImage:ProfilerRuleConfiguration', profilerRuleConfiguration_ruleEvaluatorImage - The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

profilerRuleConfiguration_ruleParameters :: Lens' ProfilerRuleConfiguration (Maybe (HashMap Text Text)) Source #

Runtime configuration for rule container.

profilerRuleConfiguration_s3OutputPath :: Lens' ProfilerRuleConfiguration (Maybe Text) Source #

Path to Amazon S3 storage location for rules.

profilerRuleConfiguration_localPath :: Lens' ProfilerRuleConfiguration (Maybe Text) Source #

Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

profilerRuleConfiguration_instanceType :: Lens' ProfilerRuleConfiguration (Maybe ProcessingInstanceType) Source #

The instance type to deploy a Debugger custom rule for profiling a training job.

profilerRuleConfiguration_volumeSizeInGB :: Lens' ProfilerRuleConfiguration (Maybe Natural) Source #

The size, in GB, of the ML storage volume attached to the processing instance.

profilerRuleConfiguration_ruleConfigurationName :: Lens' ProfilerRuleConfiguration Text Source #

The name of the rule configuration. It must be unique relative to other rule configuration names.

profilerRuleConfiguration_ruleEvaluatorImage :: Lens' ProfilerRuleConfiguration Text Source #

The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

ProfilerRuleEvaluationStatus

data ProfilerRuleEvaluationStatus Source #

Information about the status of the rule evaluation.

See: newProfilerRuleEvaluationStatus smart constructor.

Constructors

ProfilerRuleEvaluationStatus'

Fields

lastModifiedTime :: Maybe POSIX
Timestamp when the rule evaluation status was last modified.
statusDetails :: Maybe Text
Details from the rule evaluation.
ruleEvaluationStatus :: Maybe RuleEvaluationStatus
Status of the rule evaluation.
ruleEvaluationJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the rule evaluation job.
ruleConfigurationName :: Maybe Text
The name of the rule configuration.

Instances

Instances details

Eq ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Methods (==) :: ProfilerRuleEvaluationStatus -> ProfilerRuleEvaluationStatus -> Bool # (/=) :: ProfilerRuleEvaluationStatus -> ProfilerRuleEvaluationStatus -> Bool #
Read ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Methods readsPrec :: Int -> ReadS ProfilerRuleEvaluationStatus # readList :: ReadS [ProfilerRuleEvaluationStatus] # readPrec :: ReadPrec ProfilerRuleEvaluationStatus # readListPrec :: ReadPrec [ProfilerRuleEvaluationStatus] #
Show ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Methods showsPrec :: Int -> ProfilerRuleEvaluationStatus -> ShowS # show :: ProfilerRuleEvaluationStatus -> String # showList :: [ProfilerRuleEvaluationStatus] -> ShowS #
Generic ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Associated Types type Rep ProfilerRuleEvaluationStatus :: Type -> Type # Methods from :: ProfilerRuleEvaluationStatus -> Rep ProfilerRuleEvaluationStatus x # to :: Rep ProfilerRuleEvaluationStatus x -> ProfilerRuleEvaluationStatus #
NFData ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Methods rnf :: ProfilerRuleEvaluationStatus -> () #
Hashable ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Methods hashWithSalt :: Int -> ProfilerRuleEvaluationStatus -> Int # hash :: ProfilerRuleEvaluationStatus -> Int #
FromJSON ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus Methods parseJSON :: Value -> Parser ProfilerRuleEvaluationStatus # parseJSONList :: Value -> Parser [ProfilerRuleEvaluationStatus] #
type Rep ProfilerRuleEvaluationStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus type Rep ProfilerRuleEvaluationStatus = D1 ('MetaData "ProfilerRuleEvaluationStatus" "Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProfilerRuleEvaluationStatus'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "statusDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "ruleEvaluationStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RuleEvaluationStatus)) :: (S1 ('MetaSel ('Just "ruleEvaluationJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newProfilerRuleEvaluationStatus :: ProfilerRuleEvaluationStatus Source #

Create a value of ProfilerRuleEvaluationStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_lastModifiedTime - Timestamp when the rule evaluation status was last modified.

$sel:statusDetails:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_statusDetails - Details from the rule evaluation.

$sel:ruleEvaluationStatus:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_ruleEvaluationStatus - Status of the rule evaluation.

$sel:ruleEvaluationJobArn:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_ruleEvaluationJobArn - The Amazon Resource Name (ARN) of the rule evaluation job.

$sel:ruleConfigurationName:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_ruleConfigurationName - The name of the rule configuration.

profilerRuleEvaluationStatus_lastModifiedTime :: Lens' ProfilerRuleEvaluationStatus (Maybe UTCTime) Source #

Timestamp when the rule evaluation status was last modified.

profilerRuleEvaluationStatus_statusDetails :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #

Details from the rule evaluation.

profilerRuleEvaluationStatus_ruleEvaluationStatus :: Lens' ProfilerRuleEvaluationStatus (Maybe RuleEvaluationStatus) Source #

Status of the rule evaluation.

profilerRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #

The Amazon Resource Name (ARN) of the rule evaluation job.

profilerRuleEvaluationStatus_ruleConfigurationName :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #

The name of the rule configuration.

Project

data Project Source #

The properties of a project as returned by the Search API.

See: newProject smart constructor.

Constructors

Project'

Fields

creationTime :: Maybe POSIX
A timestamp specifying when the project was created.
serviceCatalogProvisionedProductDetails :: Maybe ServiceCatalogProvisionedProductDetails
createdBy :: Maybe UserContext
Who created the project.
projectStatus :: Maybe ProjectStatus
The status of the project.
projectName :: Maybe Text
The name of the project.
serviceCatalogProvisioningDetails :: Maybe ServiceCatalogProvisioningDetails
projectId :: Maybe Text
The ID of the project.
projectArn :: Maybe Text
The Amazon Resource Name (ARN) of the project.
projectDescription :: Maybe Text
The description of the project.
tags :: Maybe [Tag]
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

Instances

Instances details

Eq Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Methods (==) :: Project -> Project -> Bool # (/=) :: Project -> Project -> Bool #
Read Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Methods readsPrec :: Int -> ReadS Project # readList :: ReadS [Project] # readPrec :: ReadPrec Project # readListPrec :: ReadPrec [Project] #
Show Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Methods showsPrec :: Int -> Project -> ShowS # show :: Project -> String # showList :: [Project] -> ShowS #
Generic Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Associated Types type Rep Project :: Type -> Type # Methods from :: Project -> Rep Project x # to :: Rep Project x -> Project #
NFData Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Methods rnf :: Project -> () #
Hashable Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Methods hashWithSalt :: Int -> Project -> Int # hash :: Project -> Int #
FromJSON Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project Methods parseJSON :: Value -> Parser Project # parseJSONList :: Value -> Parser [Project] #
type Rep Project Source #
Instance details Defined in Amazonka.SageMaker.Types.Project type Rep Project = D1 ('MetaData "Project" "Amazonka.SageMaker.Types.Project" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Project'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "serviceCatalogProvisionedProductDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ServiceCatalogProvisionedProductDetails))) :: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: (S1 ('MetaSel ('Just "projectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectStatus)) :: S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "serviceCatalogProvisioningDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ServiceCatalogProvisioningDetails)) :: S1 ('MetaSel ('Just "projectId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "projectDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newProject :: Project Source #

Create a value of Project with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:Project', project_creationTime - A timestamp specifying when the project was created.

$sel:serviceCatalogProvisionedProductDetails:Project', project_serviceCatalogProvisionedProductDetails - Undocumented member.

$sel:createdBy:Project', project_createdBy - Who created the project.

$sel:projectStatus:Project', project_projectStatus - The status of the project.

$sel:projectName:Project', project_projectName - The name of the project.

$sel:serviceCatalogProvisioningDetails:Project', project_serviceCatalogProvisioningDetails - Undocumented member.

$sel:projectId:Project', project_projectId - The ID of the project.

$sel:projectArn:Project', project_projectArn - The Amazon Resource Name (ARN) of the project.

$sel:projectDescription:Project', project_projectDescription - The description of the project.

$sel:tags:Project', project_tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

project_creationTime :: Lens' Project (Maybe UTCTime) Source #

A timestamp specifying when the project was created.

project_serviceCatalogProvisionedProductDetails :: Lens' Project (Maybe ServiceCatalogProvisionedProductDetails) Source #

Undocumented member.

project_createdBy :: Lens' Project (Maybe UserContext) Source #

Who created the project.

project_projectStatus :: Lens' Project (Maybe ProjectStatus) Source #

The status of the project.

project_projectName :: Lens' Project (Maybe Text) Source #

The name of the project.

project_serviceCatalogProvisioningDetails :: Lens' Project (Maybe ServiceCatalogProvisioningDetails) Source #

Undocumented member.

project_projectId :: Lens' Project (Maybe Text) Source #

The ID of the project.

project_projectArn :: Lens' Project (Maybe Text) Source #

The Amazon Resource Name (ARN) of the project.

project_projectDescription :: Lens' Project (Maybe Text) Source #

The description of the project.

project_tags :: Lens' Project (Maybe [Tag]) Source #

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

ProjectSummary

data ProjectSummary Source #

Information about a project.

See: newProjectSummary smart constructor.

Constructors

ProjectSummary'
Fields projectDescription :: Maybe Text The description of the project. projectName :: Text The name of the project. projectArn :: Text The Amazon Resource Name (ARN) of the project. projectId :: Text The ID of the project. creationTime :: POSIX The time that the project was created. projectStatus :: ProjectStatus The status of the project.

Instances

Instances details

Eq ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Methods (==) :: ProjectSummary -> ProjectSummary -> Bool # (/=) :: ProjectSummary -> ProjectSummary -> Bool #
Read ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Methods readsPrec :: Int -> ReadS ProjectSummary # readList :: ReadS [ProjectSummary] # readPrec :: ReadPrec ProjectSummary # readListPrec :: ReadPrec [ProjectSummary] #
Show ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Methods showsPrec :: Int -> ProjectSummary -> ShowS # show :: ProjectSummary -> String # showList :: [ProjectSummary] -> ShowS #
Generic ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Associated Types type Rep ProjectSummary :: Type -> Type # Methods from :: ProjectSummary -> Rep ProjectSummary x # to :: Rep ProjectSummary x -> ProjectSummary #
NFData ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Methods rnf :: ProjectSummary -> () #
Hashable ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Methods hashWithSalt :: Int -> ProjectSummary -> Int # hash :: ProjectSummary -> Int #
FromJSON ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary Methods parseJSON :: Value -> Parser ProjectSummary # parseJSONList :: Value -> Parser [ProjectSummary] #
type Rep ProjectSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.ProjectSummary type Rep ProjectSummary = D1 ('MetaData "ProjectSummary" "Amazonka.SageMaker.Types.ProjectSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProjectSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "projectDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "projectId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "projectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProjectStatus)))))

newProjectSummary Source #

Arguments

:: Text	`$sel:projectName:ProjectSummary'`
-> Text	`$sel:projectArn:ProjectSummary'`
-> Text	`$sel:projectId:ProjectSummary'`
-> UTCTime	`$sel:creationTime:ProjectSummary'`
-> ProjectStatus	`$sel:projectStatus:ProjectSummary'`
-> ProjectSummary

Create a value of ProjectSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:projectDescription:ProjectSummary', projectSummary_projectDescription - The description of the project.

$sel:projectName:ProjectSummary', projectSummary_projectName - The name of the project.

$sel:projectArn:ProjectSummary', projectSummary_projectArn - The Amazon Resource Name (ARN) of the project.

$sel:projectId:ProjectSummary', projectSummary_projectId - The ID of the project.

$sel:creationTime:ProjectSummary', projectSummary_creationTime - The time that the project was created.

$sel:projectStatus:ProjectSummary', projectSummary_projectStatus - The status of the project.

projectSummary_projectDescription :: Lens' ProjectSummary (Maybe Text) Source #

The description of the project.

projectSummary_projectName :: Lens' ProjectSummary Text Source #

The name of the project.

projectSummary_projectArn :: Lens' ProjectSummary Text Source #

The Amazon Resource Name (ARN) of the project.

projectSummary_projectId :: Lens' ProjectSummary Text Source #

The ID of the project.

projectSummary_creationTime :: Lens' ProjectSummary UTCTime Source #

The time that the project was created.

projectSummary_projectStatus :: Lens' ProjectSummary ProjectStatus Source #

The status of the project.

PropertyNameQuery

data PropertyNameQuery Source #

Part of the SuggestionQuery type. Specifies a hint for retrieving property names that begin with the specified text.

See: newPropertyNameQuery smart constructor.

Constructors

PropertyNameQuery'
Fields propertyNameHint :: Text Text that begins a property's name.

Instances

Instances details

Eq PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Methods (==) :: PropertyNameQuery -> PropertyNameQuery -> Bool # (/=) :: PropertyNameQuery -> PropertyNameQuery -> Bool #
Read PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Methods readsPrec :: Int -> ReadS PropertyNameQuery # readList :: ReadS [PropertyNameQuery] # readPrec :: ReadPrec PropertyNameQuery # readListPrec :: ReadPrec [PropertyNameQuery] #
Show PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Methods showsPrec :: Int -> PropertyNameQuery -> ShowS # show :: PropertyNameQuery -> String # showList :: [PropertyNameQuery] -> ShowS #
Generic PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Associated Types type Rep PropertyNameQuery :: Type -> Type # Methods from :: PropertyNameQuery -> Rep PropertyNameQuery x # to :: Rep PropertyNameQuery x -> PropertyNameQuery #
NFData PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Methods rnf :: PropertyNameQuery -> () #
Hashable PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Methods hashWithSalt :: Int -> PropertyNameQuery -> Int # hash :: PropertyNameQuery -> Int #
ToJSON PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery Methods toJSON :: PropertyNameQuery -> Value # toEncoding :: PropertyNameQuery -> Encoding # toJSONList :: [PropertyNameQuery] -> Value # toEncodingList :: [PropertyNameQuery] -> Encoding #
type Rep PropertyNameQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameQuery type Rep PropertyNameQuery = D1 ('MetaData "PropertyNameQuery" "Amazonka.SageMaker.Types.PropertyNameQuery" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PropertyNameQuery'" 'PrefixI 'True) (S1 ('MetaSel ('Just "propertyNameHint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newPropertyNameQuery Source #

Arguments

:: Text	`$sel:propertyNameHint:PropertyNameQuery'`
-> PropertyNameQuery

Create a value of PropertyNameQuery with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:propertyNameHint:PropertyNameQuery', propertyNameQuery_propertyNameHint - Text that begins a property's name.

propertyNameQuery_propertyNameHint :: Lens' PropertyNameQuery Text Source #

Text that begins a property's name.

PropertyNameSuggestion

data PropertyNameSuggestion Source #

A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.

See: newPropertyNameSuggestion smart constructor.

Constructors

PropertyNameSuggestion'
Fields propertyName :: Maybe Text A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.

Instances

Instances details

Eq PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Methods (==) :: PropertyNameSuggestion -> PropertyNameSuggestion -> Bool # (/=) :: PropertyNameSuggestion -> PropertyNameSuggestion -> Bool #
Read PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Methods readsPrec :: Int -> ReadS PropertyNameSuggestion # readList :: ReadS [PropertyNameSuggestion] # readPrec :: ReadPrec PropertyNameSuggestion # readListPrec :: ReadPrec [PropertyNameSuggestion] #
Show PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Methods showsPrec :: Int -> PropertyNameSuggestion -> ShowS # show :: PropertyNameSuggestion -> String # showList :: [PropertyNameSuggestion] -> ShowS #
Generic PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Associated Types type Rep PropertyNameSuggestion :: Type -> Type # Methods from :: PropertyNameSuggestion -> Rep PropertyNameSuggestion x # to :: Rep PropertyNameSuggestion x -> PropertyNameSuggestion #
NFData PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Methods rnf :: PropertyNameSuggestion -> () #
Hashable PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Methods hashWithSalt :: Int -> PropertyNameSuggestion -> Int # hash :: PropertyNameSuggestion -> Int #
FromJSON PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion Methods parseJSON :: Value -> Parser PropertyNameSuggestion # parseJSONList :: Value -> Parser [PropertyNameSuggestion] #
type Rep PropertyNameSuggestion Source #
Instance details Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion type Rep PropertyNameSuggestion = D1 ('MetaData "PropertyNameSuggestion" "Amazonka.SageMaker.Types.PropertyNameSuggestion" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PropertyNameSuggestion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "propertyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newPropertyNameSuggestion :: PropertyNameSuggestion Source #

Create a value of PropertyNameSuggestion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:propertyName:PropertyNameSuggestion', propertyNameSuggestion_propertyName - A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.

propertyNameSuggestion_propertyName :: Lens' PropertyNameSuggestion (Maybe Text) Source #

A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.

ProvisioningParameter

data ProvisioningParameter Source #

A key value pair used when you provision a project as a service catalog product. For information, see What is Amazon Web Services Service Catalog.

See: newProvisioningParameter smart constructor.

Constructors

ProvisioningParameter'
Fields value :: Maybe Text The value of the provisioning parameter. key :: Maybe Text The key that identifies a provisioning parameter.

Instances

Instances details

Eq ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods (==) :: ProvisioningParameter -> ProvisioningParameter -> Bool # (/=) :: ProvisioningParameter -> ProvisioningParameter -> Bool #
Read ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods readsPrec :: Int -> ReadS ProvisioningParameter # readList :: ReadS [ProvisioningParameter] # readPrec :: ReadPrec ProvisioningParameter # readListPrec :: ReadPrec [ProvisioningParameter] #
Show ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods showsPrec :: Int -> ProvisioningParameter -> ShowS # show :: ProvisioningParameter -> String # showList :: [ProvisioningParameter] -> ShowS #
Generic ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Associated Types type Rep ProvisioningParameter :: Type -> Type # Methods from :: ProvisioningParameter -> Rep ProvisioningParameter x # to :: Rep ProvisioningParameter x -> ProvisioningParameter #
NFData ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods rnf :: ProvisioningParameter -> () #
Hashable ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods hashWithSalt :: Int -> ProvisioningParameter -> Int # hash :: ProvisioningParameter -> Int #
ToJSON ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods toJSON :: ProvisioningParameter -> Value # toEncoding :: ProvisioningParameter -> Encoding # toJSONList :: [ProvisioningParameter] -> Value # toEncodingList :: [ProvisioningParameter] -> Encoding #
FromJSON ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter Methods parseJSON :: Value -> Parser ProvisioningParameter # parseJSONList :: Value -> Parser [ProvisioningParameter] #
type Rep ProvisioningParameter Source #
Instance details Defined in Amazonka.SageMaker.Types.ProvisioningParameter type Rep ProvisioningParameter = D1 ('MetaData "ProvisioningParameter" "Amazonka.SageMaker.Types.ProvisioningParameter" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ProvisioningParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newProvisioningParameter :: ProvisioningParameter Source #

Create a value of ProvisioningParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:value:ProvisioningParameter', provisioningParameter_value - The value of the provisioning parameter.

$sel:key:ProvisioningParameter', provisioningParameter_key - The key that identifies a provisioning parameter.

provisioningParameter_value :: Lens' ProvisioningParameter (Maybe Text) Source #

The value of the provisioning parameter.

provisioningParameter_key :: Lens' ProvisioningParameter (Maybe Text) Source #

The key that identifies a provisioning parameter.

PublicWorkforceTaskPrice

data PublicWorkforceTaskPrice Source #

Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.

Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.

0.036
0.048
0.060
0.072
0.120
0.240
0.360
0.480
0.600
0.720
0.840
0.960
1.080
1.200

Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.

0.012
0.024
0.036
0.048
0.060
0.072
0.120
0.240
0.360
0.480
0.600
0.720
0.840
0.960
1.080
1.200

Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.

0.840
0.960
1.080
1.200

Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.

2.400
2.280
2.160
2.040
1.920
1.800
1.680
1.560
1.440
1.320
1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012

Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.

1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012

Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.

1.200
1.080
0.960
0.840
0.720
0.600
0.480
0.360
0.240
0.120
0.072
0.060
0.048
0.036
0.024
0.012

See: newPublicWorkforceTaskPrice smart constructor.

Constructors

PublicWorkforceTaskPrice'
Fields amountInUsd :: Maybe USD Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.

Instances

Instances details

Eq PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods (==) :: PublicWorkforceTaskPrice -> PublicWorkforceTaskPrice -> Bool # (/=) :: PublicWorkforceTaskPrice -> PublicWorkforceTaskPrice -> Bool #
Read PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods readsPrec :: Int -> ReadS PublicWorkforceTaskPrice # readList :: ReadS [PublicWorkforceTaskPrice] # readPrec :: ReadPrec PublicWorkforceTaskPrice # readListPrec :: ReadPrec [PublicWorkforceTaskPrice] #
Show PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods showsPrec :: Int -> PublicWorkforceTaskPrice -> ShowS # show :: PublicWorkforceTaskPrice -> String # showList :: [PublicWorkforceTaskPrice] -> ShowS #
Generic PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Associated Types type Rep PublicWorkforceTaskPrice :: Type -> Type # Methods from :: PublicWorkforceTaskPrice -> Rep PublicWorkforceTaskPrice x # to :: Rep PublicWorkforceTaskPrice x -> PublicWorkforceTaskPrice #
NFData PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods rnf :: PublicWorkforceTaskPrice -> () #
Hashable PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods hashWithSalt :: Int -> PublicWorkforceTaskPrice -> Int # hash :: PublicWorkforceTaskPrice -> Int #
ToJSON PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods toJSON :: PublicWorkforceTaskPrice -> Value # toEncoding :: PublicWorkforceTaskPrice -> Encoding # toJSONList :: [PublicWorkforceTaskPrice] -> Value # toEncodingList :: [PublicWorkforceTaskPrice] -> Encoding #
FromJSON PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice Methods parseJSON :: Value -> Parser PublicWorkforceTaskPrice # parseJSONList :: Value -> Parser [PublicWorkforceTaskPrice] #
type Rep PublicWorkforceTaskPrice Source #
Instance details Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice type Rep PublicWorkforceTaskPrice = D1 ('MetaData "PublicWorkforceTaskPrice" "Amazonka.SageMaker.Types.PublicWorkforceTaskPrice" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "PublicWorkforceTaskPrice'" 'PrefixI 'True) (S1 ('MetaSel ('Just "amountInUsd") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe USD))))

newPublicWorkforceTaskPrice :: PublicWorkforceTaskPrice Source #

Create a value of PublicWorkforceTaskPrice with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:amountInUsd:PublicWorkforceTaskPrice', publicWorkforceTaskPrice_amountInUsd - Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.

publicWorkforceTaskPrice_amountInUsd :: Lens' PublicWorkforceTaskPrice (Maybe USD) Source #

Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.

RedshiftDatasetDefinition

data RedshiftDatasetDefinition Source #

Configuration for Redshift Dataset Definition input.

See: newRedshiftDatasetDefinition smart constructor.

Constructors

RedshiftDatasetDefinition'

Fields

kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.
outputCompression :: Maybe RedshiftResultCompressionType
clusterId :: Text
database :: Text
dbUser :: Text
queryString :: Text
clusterRoleArn :: Text
The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
outputS3Uri :: Text
The location in Amazon S3 where the Redshift query results are stored.
outputFormat :: RedshiftResultFormat

Instances

Instances details

Eq RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods (==) :: RedshiftDatasetDefinition -> RedshiftDatasetDefinition -> Bool # (/=) :: RedshiftDatasetDefinition -> RedshiftDatasetDefinition -> Bool #
Read RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods readsPrec :: Int -> ReadS RedshiftDatasetDefinition # readList :: ReadS [RedshiftDatasetDefinition] # readPrec :: ReadPrec RedshiftDatasetDefinition # readListPrec :: ReadPrec [RedshiftDatasetDefinition] #
Show RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods showsPrec :: Int -> RedshiftDatasetDefinition -> ShowS # show :: RedshiftDatasetDefinition -> String # showList :: [RedshiftDatasetDefinition] -> ShowS #
Generic RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Associated Types type Rep RedshiftDatasetDefinition :: Type -> Type # Methods from :: RedshiftDatasetDefinition -> Rep RedshiftDatasetDefinition x # to :: Rep RedshiftDatasetDefinition x -> RedshiftDatasetDefinition #
NFData RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods rnf :: RedshiftDatasetDefinition -> () #
Hashable RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods hashWithSalt :: Int -> RedshiftDatasetDefinition -> Int # hash :: RedshiftDatasetDefinition -> Int #
ToJSON RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods toJSON :: RedshiftDatasetDefinition -> Value # toEncoding :: RedshiftDatasetDefinition -> Encoding # toJSONList :: [RedshiftDatasetDefinition] -> Value # toEncodingList :: [RedshiftDatasetDefinition] -> Encoding #
FromJSON RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition Methods parseJSON :: Value -> Parser RedshiftDatasetDefinition # parseJSONList :: Value -> Parser [RedshiftDatasetDefinition] #
type Rep RedshiftDatasetDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition type Rep RedshiftDatasetDefinition = D1 ('MetaData "RedshiftDatasetDefinition" "Amazonka.SageMaker.Types.RedshiftDatasetDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RedshiftDatasetDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "outputCompression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RedshiftResultCompressionType))) :: (S1 ('MetaSel ('Just "clusterId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "database") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: ((S1 ('MetaSel ('Just "dbUser") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "queryString") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "clusterRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "outputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "outputFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RedshiftResultFormat))))))

newRedshiftDatasetDefinition Source #

Arguments

:: Text	`$sel:clusterId:RedshiftDatasetDefinition'`
-> Text	`$sel:database:RedshiftDatasetDefinition'`
-> Text	`$sel:dbUser:RedshiftDatasetDefinition'`
-> Text	`$sel:queryString:RedshiftDatasetDefinition'`
-> Text	`$sel:clusterRoleArn:RedshiftDatasetDefinition'`
-> Text	`$sel:outputS3Uri:RedshiftDatasetDefinition'`
-> RedshiftResultFormat	`$sel:outputFormat:RedshiftDatasetDefinition'`
-> RedshiftDatasetDefinition

Create a value of RedshiftDatasetDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:RedshiftDatasetDefinition', redshiftDatasetDefinition_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.

$sel:outputCompression:RedshiftDatasetDefinition', redshiftDatasetDefinition_outputCompression - Undocumented member.

$sel:clusterId:RedshiftDatasetDefinition', redshiftDatasetDefinition_clusterId - Undocumented member.

$sel:database:RedshiftDatasetDefinition', redshiftDatasetDefinition_database - Undocumented member.

$sel:dbUser:RedshiftDatasetDefinition', redshiftDatasetDefinition_dbUser - Undocumented member.

$sel:queryString:RedshiftDatasetDefinition', redshiftDatasetDefinition_queryString - Undocumented member.

$sel:clusterRoleArn:RedshiftDatasetDefinition', redshiftDatasetDefinition_clusterRoleArn - The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.

$sel:outputS3Uri:RedshiftDatasetDefinition', redshiftDatasetDefinition_outputS3Uri - The location in Amazon S3 where the Redshift query results are stored.

$sel:outputFormat:RedshiftDatasetDefinition', redshiftDatasetDefinition_outputFormat - Undocumented member.

redshiftDatasetDefinition_kmsKeyId :: Lens' RedshiftDatasetDefinition (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.

redshiftDatasetDefinition_outputCompression :: Lens' RedshiftDatasetDefinition (Maybe RedshiftResultCompressionType) Source #

Undocumented member.

redshiftDatasetDefinition_clusterId :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_database :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_dbUser :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_queryString :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_clusterRoleArn :: Lens' RedshiftDatasetDefinition Text Source #

The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.

redshiftDatasetDefinition_outputS3Uri :: Lens' RedshiftDatasetDefinition Text Source #

The location in Amazon S3 where the Redshift query results are stored.

redshiftDatasetDefinition_outputFormat :: Lens' RedshiftDatasetDefinition RedshiftResultFormat Source #

Undocumented member.

RegisterModelStepMetadata

data RegisterModelStepMetadata Source #

Metadata for a register model job step.

See: newRegisterModelStepMetadata smart constructor.

Constructors

RegisterModelStepMetadata'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the model package.

Instances

Instances details

Eq RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Methods (==) :: RegisterModelStepMetadata -> RegisterModelStepMetadata -> Bool # (/=) :: RegisterModelStepMetadata -> RegisterModelStepMetadata -> Bool #
Read RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Methods readsPrec :: Int -> ReadS RegisterModelStepMetadata # readList :: ReadS [RegisterModelStepMetadata] # readPrec :: ReadPrec RegisterModelStepMetadata # readListPrec :: ReadPrec [RegisterModelStepMetadata] #
Show RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Methods showsPrec :: Int -> RegisterModelStepMetadata -> ShowS # show :: RegisterModelStepMetadata -> String # showList :: [RegisterModelStepMetadata] -> ShowS #
Generic RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Associated Types type Rep RegisterModelStepMetadata :: Type -> Type # Methods from :: RegisterModelStepMetadata -> Rep RegisterModelStepMetadata x # to :: Rep RegisterModelStepMetadata x -> RegisterModelStepMetadata #
NFData RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Methods rnf :: RegisterModelStepMetadata -> () #
Hashable RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Methods hashWithSalt :: Int -> RegisterModelStepMetadata -> Int # hash :: RegisterModelStepMetadata -> Int #
FromJSON RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata Methods parseJSON :: Value -> Parser RegisterModelStepMetadata # parseJSONList :: Value -> Parser [RegisterModelStepMetadata] #
type Rep RegisterModelStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata type Rep RegisterModelStepMetadata = D1 ('MetaData "RegisterModelStepMetadata" "Amazonka.SageMaker.Types.RegisterModelStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RegisterModelStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newRegisterModelStepMetadata :: RegisterModelStepMetadata Source #

Create a value of RegisterModelStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:RegisterModelStepMetadata', registerModelStepMetadata_arn - The Amazon Resource Name (ARN) of the model package.

registerModelStepMetadata_arn :: Lens' RegisterModelStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model package.

RenderableTask

data RenderableTask Source #

Contains input values for a task.

See: newRenderableTask smart constructor.

Constructors

RenderableTask'
Fields input :: Text A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable `task.input`. For example, if you define a variable `task.input.text` in your template, you can supply the variable in the JSON object as `"text": "sample text"`.

Instances

Instances details

Eq RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Methods (==) :: RenderableTask -> RenderableTask -> Bool # (/=) :: RenderableTask -> RenderableTask -> Bool #
Read RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Methods readsPrec :: Int -> ReadS RenderableTask # readList :: ReadS [RenderableTask] # readPrec :: ReadPrec RenderableTask # readListPrec :: ReadPrec [RenderableTask] #
Show RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Methods showsPrec :: Int -> RenderableTask -> ShowS # show :: RenderableTask -> String # showList :: [RenderableTask] -> ShowS #
Generic RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Associated Types type Rep RenderableTask :: Type -> Type # Methods from :: RenderableTask -> Rep RenderableTask x # to :: Rep RenderableTask x -> RenderableTask #
NFData RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Methods rnf :: RenderableTask -> () #
Hashable RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Methods hashWithSalt :: Int -> RenderableTask -> Int # hash :: RenderableTask -> Int #
ToJSON RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask Methods toJSON :: RenderableTask -> Value # toEncoding :: RenderableTask -> Encoding # toJSONList :: [RenderableTask] -> Value # toEncodingList :: [RenderableTask] -> Encoding #
type Rep RenderableTask Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderableTask type Rep RenderableTask = D1 ('MetaData "RenderableTask" "Amazonka.SageMaker.Types.RenderableTask" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RenderableTask'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newRenderableTask Source #

Arguments

:: Text	`$sel:input:RenderableTask'`
-> RenderableTask

Create a value of RenderableTask with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:input:RenderableTask', renderableTask_input - A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".

renderableTask_input :: Lens' RenderableTask Text Source #

A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".

RenderingError

data RenderingError Source #

A description of an error that occurred while rendering the template.

See: newRenderingError smart constructor.

Constructors

RenderingError'
Fields code :: Text A unique identifier for a specific class of errors. message :: Text A human-readable message describing the error.

Instances

Instances details

Eq RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Methods (==) :: RenderingError -> RenderingError -> Bool # (/=) :: RenderingError -> RenderingError -> Bool #
Read RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Methods readsPrec :: Int -> ReadS RenderingError # readList :: ReadS [RenderingError] # readPrec :: ReadPrec RenderingError # readListPrec :: ReadPrec [RenderingError] #
Show RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Methods showsPrec :: Int -> RenderingError -> ShowS # show :: RenderingError -> String # showList :: [RenderingError] -> ShowS #
Generic RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Associated Types type Rep RenderingError :: Type -> Type # Methods from :: RenderingError -> Rep RenderingError x # to :: Rep RenderingError x -> RenderingError #
NFData RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Methods rnf :: RenderingError -> () #
Hashable RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Methods hashWithSalt :: Int -> RenderingError -> Int # hash :: RenderingError -> Int #
FromJSON RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError Methods parseJSON :: Value -> Parser RenderingError # parseJSONList :: Value -> Parser [RenderingError] #
type Rep RenderingError Source #
Instance details Defined in Amazonka.SageMaker.Types.RenderingError type Rep RenderingError = D1 ('MetaData "RenderingError" "Amazonka.SageMaker.Types.RenderingError" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RenderingError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "code") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newRenderingError Source #

Arguments

:: Text	`$sel:code:RenderingError'`
-> Text	`$sel:message:RenderingError'`
-> RenderingError

Create a value of RenderingError with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:code:RenderingError', renderingError_code - A unique identifier for a specific class of errors.

$sel:message:RenderingError', renderingError_message - A human-readable message describing the error.

renderingError_code :: Lens' RenderingError Text Source #

A unique identifier for a specific class of errors.

renderingError_message :: Lens' RenderingError Text Source #

A human-readable message describing the error.

RepositoryAuthConfig

data RepositoryAuthConfig Source #

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field of the ImageConfig object that you passed to a call to CreateModel and the private Docker registry where the model image is hosted requires authentication.

See: newRepositoryAuthConfig smart constructor.

Constructors

RepositoryAuthConfig'

Fields

repositoryCredentialsProviderArn :: Text
The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.

Instances

Instances details

Eq RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods (==) :: RepositoryAuthConfig -> RepositoryAuthConfig -> Bool # (/=) :: RepositoryAuthConfig -> RepositoryAuthConfig -> Bool #
Read RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods readsPrec :: Int -> ReadS RepositoryAuthConfig # readList :: ReadS [RepositoryAuthConfig] # readPrec :: ReadPrec RepositoryAuthConfig # readListPrec :: ReadPrec [RepositoryAuthConfig] #
Show RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods showsPrec :: Int -> RepositoryAuthConfig -> ShowS # show :: RepositoryAuthConfig -> String # showList :: [RepositoryAuthConfig] -> ShowS #
Generic RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Associated Types type Rep RepositoryAuthConfig :: Type -> Type # Methods from :: RepositoryAuthConfig -> Rep RepositoryAuthConfig x # to :: Rep RepositoryAuthConfig x -> RepositoryAuthConfig #
NFData RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods rnf :: RepositoryAuthConfig -> () #
Hashable RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods hashWithSalt :: Int -> RepositoryAuthConfig -> Int # hash :: RepositoryAuthConfig -> Int #
ToJSON RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods toJSON :: RepositoryAuthConfig -> Value # toEncoding :: RepositoryAuthConfig -> Encoding # toJSONList :: [RepositoryAuthConfig] -> Value # toEncodingList :: [RepositoryAuthConfig] -> Encoding #
FromJSON RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig Methods parseJSON :: Value -> Parser RepositoryAuthConfig # parseJSONList :: Value -> Parser [RepositoryAuthConfig] #
type Rep RepositoryAuthConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig type Rep RepositoryAuthConfig = D1 ('MetaData "RepositoryAuthConfig" "Amazonka.SageMaker.Types.RepositoryAuthConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RepositoryAuthConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "repositoryCredentialsProviderArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newRepositoryAuthConfig Source #

Arguments

:: Text	`$sel:repositoryCredentialsProviderArn:RepositoryAuthConfig'`
-> RepositoryAuthConfig

Create a value of RepositoryAuthConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:repositoryCredentialsProviderArn:RepositoryAuthConfig', repositoryAuthConfig_repositoryCredentialsProviderArn - The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.

repositoryAuthConfig_repositoryCredentialsProviderArn :: Lens' RepositoryAuthConfig Text Source #

The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.

ResolvedAttributes

data ResolvedAttributes Source #

The resolved attributes.

See: newResolvedAttributes smart constructor.

Constructors

ResolvedAttributes'
Fields problemType :: Maybe ProblemType The problem type. autoMLJobObjective :: Maybe AutoMLJobObjective completionCriteria :: Maybe AutoMLJobCompletionCriteria

Instances

Instances details

Eq ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Methods (==) :: ResolvedAttributes -> ResolvedAttributes -> Bool # (/=) :: ResolvedAttributes -> ResolvedAttributes -> Bool #
Read ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Methods readsPrec :: Int -> ReadS ResolvedAttributes # readList :: ReadS [ResolvedAttributes] # readPrec :: ReadPrec ResolvedAttributes # readListPrec :: ReadPrec [ResolvedAttributes] #
Show ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Methods showsPrec :: Int -> ResolvedAttributes -> ShowS # show :: ResolvedAttributes -> String # showList :: [ResolvedAttributes] -> ShowS #
Generic ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Associated Types type Rep ResolvedAttributes :: Type -> Type # Methods from :: ResolvedAttributes -> Rep ResolvedAttributes x # to :: Rep ResolvedAttributes x -> ResolvedAttributes #
NFData ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Methods rnf :: ResolvedAttributes -> () #
Hashable ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Methods hashWithSalt :: Int -> ResolvedAttributes -> Int # hash :: ResolvedAttributes -> Int #
FromJSON ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes Methods parseJSON :: Value -> Parser ResolvedAttributes # parseJSONList :: Value -> Parser [ResolvedAttributes] #
type Rep ResolvedAttributes Source #
Instance details Defined in Amazonka.SageMaker.Types.ResolvedAttributes type Rep ResolvedAttributes = D1 ('MetaData "ResolvedAttributes" "Amazonka.SageMaker.Types.ResolvedAttributes" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ResolvedAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "problemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProblemType)) :: (S1 ('MetaSel ('Just "autoMLJobObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobObjective)) :: S1 ('MetaSel ('Just "completionCriteria") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobCompletionCriteria)))))

newResolvedAttributes :: ResolvedAttributes Source #

Create a value of ResolvedAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:problemType:ResolvedAttributes', resolvedAttributes_problemType - The problem type.

$sel:autoMLJobObjective:ResolvedAttributes', resolvedAttributes_autoMLJobObjective - Undocumented member.

$sel:completionCriteria:ResolvedAttributes', resolvedAttributes_completionCriteria - Undocumented member.

resolvedAttributes_problemType :: Lens' ResolvedAttributes (Maybe ProblemType) Source #

The problem type.

resolvedAttributes_autoMLJobObjective :: Lens' ResolvedAttributes (Maybe AutoMLJobObjective) Source #

Undocumented member.

resolvedAttributes_completionCriteria :: Lens' ResolvedAttributes (Maybe AutoMLJobCompletionCriteria) Source #

Undocumented member.

ResourceConfig

data ResourceConfig Source #

Describes the resources, including ML compute instances and ML storage volumes, to use for model training.

See: newResourceConfig smart constructor.

Constructors

ResourceConfig'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId can be in any of the following formats:
- // KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```
- // Amazon Resource Name (ARN) of a KMS Key
```
"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
```
instanceType :: TrainingInstanceType
The ML compute instance type.
instanceCount :: Natural
The number of ML compute instances to use. For distributed training, provide a value greater than 1.
volumeSizeInGB :: Natural
The size of the ML storage volume that you want to provision.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.
You must specify sufficient ML storage for your scenario.
Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.
Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for training, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.
For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

Instances

Instances details

Eq ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods (==) :: ResourceConfig -> ResourceConfig -> Bool # (/=) :: ResourceConfig -> ResourceConfig -> Bool #
Read ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods readsPrec :: Int -> ReadS ResourceConfig # readList :: ReadS [ResourceConfig] # readPrec :: ReadPrec ResourceConfig # readListPrec :: ReadPrec [ResourceConfig] #
Show ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods showsPrec :: Int -> ResourceConfig -> ShowS # show :: ResourceConfig -> String # showList :: [ResourceConfig] -> ShowS #
Generic ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Associated Types type Rep ResourceConfig :: Type -> Type # Methods from :: ResourceConfig -> Rep ResourceConfig x # to :: Rep ResourceConfig x -> ResourceConfig #
NFData ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods rnf :: ResourceConfig -> () #
Hashable ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods hashWithSalt :: Int -> ResourceConfig -> Int # hash :: ResourceConfig -> Int #
ToJSON ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods toJSON :: ResourceConfig -> Value # toEncoding :: ResourceConfig -> Encoding # toJSONList :: [ResourceConfig] -> Value # toEncodingList :: [ResourceConfig] -> Encoding #
FromJSON ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig Methods parseJSON :: Value -> Parser ResourceConfig # parseJSONList :: Value -> Parser [ResourceConfig] #
type Rep ResourceConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceConfig type Rep ResourceConfig = D1 ('MetaData "ResourceConfig" "Amazonka.SageMaker.Types.ResourceConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ResourceConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInstanceType)) :: (S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newResourceConfig Source #

Arguments

:: TrainingInstanceType	`$sel:instanceType:ResourceConfig'`
-> Natural	`$sel:instanceCount:ResourceConfig'`
-> Natural	`$sel:volumeSizeInGB:ResourceConfig'`
-> ResourceConfig

Create a value of ResourceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:ResourceConfig', resourceConfig_volumeKmsKeyId - The Amazon Web Services KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be in any of the following formats:

// KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

$sel:instanceType:ResourceConfig', resourceConfig_instanceType - The ML compute instance type.

$sel:instanceCount:ResourceConfig', resourceConfig_instanceCount - The number of ML compute instances to use. For distributed training, provide a value greater than 1.

$sel:volumeSizeInGB:ResourceConfig', resourceConfig_volumeSizeInGB - The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

You must specify sufficient ML storage for your scenario.

Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.

Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for training, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

resourceConfig_volumeKmsKeyId :: Lens' ResourceConfig (Maybe Text) Source #

The Amazon Web Services KMS key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be in any of the following formats:

// KMS Key ID
```
"1234abcd-12ab-34cd-56ef-1234567890ab"
```

// Amazon Resource Name (ARN) of a KMS Key

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

resourceConfig_instanceType :: Lens' ResourceConfig TrainingInstanceType Source #

The ML compute instance type.

resourceConfig_instanceCount :: Lens' ResourceConfig Natural Source #

The number of ML compute instances to use. For distributed training, provide a value greater than 1.

resourceConfig_volumeSizeInGB :: Lens' ResourceConfig Natural Source #

The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

You must specify sufficient ML storage for your scenario.

Amazon SageMaker supports only the General Purpose SSD (gp2) ML storage volume type.

Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for training, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

ResourceLimits

data ResourceLimits Source #

Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.

See: newResourceLimits smart constructor.

Constructors

ResourceLimits'
Fields maxNumberOfTrainingJobs :: Natural The maximum number of training jobs that a hyperparameter tuning job can launch. maxParallelTrainingJobs :: Natural The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.

Instances

Instances details

Eq ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods (==) :: ResourceLimits -> ResourceLimits -> Bool # (/=) :: ResourceLimits -> ResourceLimits -> Bool #
Read ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods readsPrec :: Int -> ReadS ResourceLimits # readList :: ReadS [ResourceLimits] # readPrec :: ReadPrec ResourceLimits # readListPrec :: ReadPrec [ResourceLimits] #
Show ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods showsPrec :: Int -> ResourceLimits -> ShowS # show :: ResourceLimits -> String # showList :: [ResourceLimits] -> ShowS #
Generic ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Associated Types type Rep ResourceLimits :: Type -> Type # Methods from :: ResourceLimits -> Rep ResourceLimits x # to :: Rep ResourceLimits x -> ResourceLimits #
NFData ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods rnf :: ResourceLimits -> () #
Hashable ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods hashWithSalt :: Int -> ResourceLimits -> Int # hash :: ResourceLimits -> Int #
ToJSON ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods toJSON :: ResourceLimits -> Value # toEncoding :: ResourceLimits -> Encoding # toJSONList :: [ResourceLimits] -> Value # toEncodingList :: [ResourceLimits] -> Encoding #
FromJSON ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits Methods parseJSON :: Value -> Parser ResourceLimits # parseJSONList :: Value -> Parser [ResourceLimits] #
type Rep ResourceLimits Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceLimits type Rep ResourceLimits = D1 ('MetaData "ResourceLimits" "Amazonka.SageMaker.Types.ResourceLimits" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ResourceLimits'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxNumberOfTrainingJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "maxParallelTrainingJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newResourceLimits Source #

Arguments

:: Natural	`$sel:maxNumberOfTrainingJobs:ResourceLimits'`
-> Natural	`$sel:maxParallelTrainingJobs:ResourceLimits'`
-> ResourceLimits

Create a value of ResourceLimits with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxNumberOfTrainingJobs:ResourceLimits', resourceLimits_maxNumberOfTrainingJobs - The maximum number of training jobs that a hyperparameter tuning job can launch.

$sel:maxParallelTrainingJobs:ResourceLimits', resourceLimits_maxParallelTrainingJobs - The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.

resourceLimits_maxNumberOfTrainingJobs :: Lens' ResourceLimits Natural Source #

The maximum number of training jobs that a hyperparameter tuning job can launch.

resourceLimits_maxParallelTrainingJobs :: Lens' ResourceLimits Natural Source #

The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.

ResourceSpec

data ResourceSpec Source #

Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.

See: newResourceSpec smart constructor.

Constructors

ResourceSpec'

Fields

instanceType :: Maybe AppInstanceType
The instance type that the image version runs on.
sageMakerImageArn :: Maybe Text
The ARN of the SageMaker image that the image version belongs to.
sageMakerImageVersionArn :: Maybe Text
The ARN of the image version created on the instance.
lifecycleConfigArn :: Maybe Text
The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

Instances

Instances details

Eq ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods (==) :: ResourceSpec -> ResourceSpec -> Bool # (/=) :: ResourceSpec -> ResourceSpec -> Bool #
Read ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods readsPrec :: Int -> ReadS ResourceSpec # readList :: ReadS [ResourceSpec] # readPrec :: ReadPrec ResourceSpec # readListPrec :: ReadPrec [ResourceSpec] #
Show ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods showsPrec :: Int -> ResourceSpec -> ShowS # show :: ResourceSpec -> String # showList :: [ResourceSpec] -> ShowS #
Generic ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Associated Types type Rep ResourceSpec :: Type -> Type # Methods from :: ResourceSpec -> Rep ResourceSpec x # to :: Rep ResourceSpec x -> ResourceSpec #
NFData ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods rnf :: ResourceSpec -> () #
Hashable ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods hashWithSalt :: Int -> ResourceSpec -> Int # hash :: ResourceSpec -> Int #
ToJSON ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods toJSON :: ResourceSpec -> Value # toEncoding :: ResourceSpec -> Encoding # toJSONList :: [ResourceSpec] -> Value # toEncodingList :: [ResourceSpec] -> Encoding #
FromJSON ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec Methods parseJSON :: Value -> Parser ResourceSpec # parseJSONList :: Value -> Parser [ResourceSpec] #
type Rep ResourceSpec Source #
Instance details Defined in Amazonka.SageMaker.Types.ResourceSpec type Rep ResourceSpec = D1 ('MetaData "ResourceSpec" "Amazonka.SageMaker.Types.ResourceSpec" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ResourceSpec'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppInstanceType)) :: S1 ('MetaSel ('Just "sageMakerImageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "sageMakerImageVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lifecycleConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newResourceSpec :: ResourceSpec Source #

Create a value of ResourceSpec with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:ResourceSpec', resourceSpec_instanceType - The instance type that the image version runs on.

$sel:sageMakerImageArn:ResourceSpec', resourceSpec_sageMakerImageArn - The ARN of the SageMaker image that the image version belongs to.

$sel:sageMakerImageVersionArn:ResourceSpec', resourceSpec_sageMakerImageVersionArn - The ARN of the image version created on the instance.

$sel:lifecycleConfigArn:ResourceSpec', resourceSpec_lifecycleConfigArn - The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

resourceSpec_instanceType :: Lens' ResourceSpec (Maybe AppInstanceType) Source #

The instance type that the image version runs on.

resourceSpec_sageMakerImageArn :: Lens' ResourceSpec (Maybe Text) Source #

The ARN of the SageMaker image that the image version belongs to.

resourceSpec_sageMakerImageVersionArn :: Lens' ResourceSpec (Maybe Text) Source #

The ARN of the image version created on the instance.

resourceSpec_lifecycleConfigArn :: Lens' ResourceSpec (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

RetentionPolicy

data RetentionPolicy Source #

The retention policy for data stored on an Amazon Elastic File System (EFS) volume.

See: newRetentionPolicy smart constructor.

Constructors

RetentionPolicy'
Fields homeEfsFileSystem :: Maybe RetentionType The default is `Retain`, which specifies to keep the data stored on the EFS volume. Specify `Delete` to delete the data stored on the EFS volume.

Instances

Instances details

Eq RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Methods (==) :: RetentionPolicy -> RetentionPolicy -> Bool # (/=) :: RetentionPolicy -> RetentionPolicy -> Bool #
Read RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Methods readsPrec :: Int -> ReadS RetentionPolicy # readList :: ReadS [RetentionPolicy] # readPrec :: ReadPrec RetentionPolicy # readListPrec :: ReadPrec [RetentionPolicy] #
Show RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Methods showsPrec :: Int -> RetentionPolicy -> ShowS # show :: RetentionPolicy -> String # showList :: [RetentionPolicy] -> ShowS #
Generic RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Associated Types type Rep RetentionPolicy :: Type -> Type # Methods from :: RetentionPolicy -> Rep RetentionPolicy x # to :: Rep RetentionPolicy x -> RetentionPolicy #
NFData RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Methods rnf :: RetentionPolicy -> () #
Hashable RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Methods hashWithSalt :: Int -> RetentionPolicy -> Int # hash :: RetentionPolicy -> Int #
ToJSON RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy Methods toJSON :: RetentionPolicy -> Value # toEncoding :: RetentionPolicy -> Encoding # toJSONList :: [RetentionPolicy] -> Value # toEncodingList :: [RetentionPolicy] -> Encoding #
type Rep RetentionPolicy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetentionPolicy type Rep RetentionPolicy = D1 ('MetaData "RetentionPolicy" "Amazonka.SageMaker.Types.RetentionPolicy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RetentionPolicy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "homeEfsFileSystem") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RetentionType))))

newRetentionPolicy :: RetentionPolicy Source #

Create a value of RetentionPolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:homeEfsFileSystem:RetentionPolicy', retentionPolicy_homeEfsFileSystem - The default is Retain, which specifies to keep the data stored on the EFS volume.

Specify Delete to delete the data stored on the EFS volume.

retentionPolicy_homeEfsFileSystem :: Lens' RetentionPolicy (Maybe RetentionType) Source #

The default is Retain, which specifies to keep the data stored on the EFS volume.

Specify Delete to delete the data stored on the EFS volume.

RetryStrategy

data RetryStrategy Source #

The retry strategy to use when a training job fails due to an InternalServerError. RetryStrategy is specified as part of the CreateTrainingJob and CreateHyperParameterTuningJob requests. You can add the StoppingCondition parameter to the request to limit the training time for the complete job.

See: newRetryStrategy smart constructor.

Constructors

RetryStrategy'
Fields maximumRetryAttempts :: Natural The number of times to retry the job. When the job is retried, it's `SecondaryStatus` is changed to `STARTING`.

Instances

Instances details

Eq RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods (==) :: RetryStrategy -> RetryStrategy -> Bool # (/=) :: RetryStrategy -> RetryStrategy -> Bool #
Read RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods readsPrec :: Int -> ReadS RetryStrategy # readList :: ReadS [RetryStrategy] # readPrec :: ReadPrec RetryStrategy # readListPrec :: ReadPrec [RetryStrategy] #
Show RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods showsPrec :: Int -> RetryStrategy -> ShowS # show :: RetryStrategy -> String # showList :: [RetryStrategy] -> ShowS #
Generic RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Associated Types type Rep RetryStrategy :: Type -> Type # Methods from :: RetryStrategy -> Rep RetryStrategy x # to :: Rep RetryStrategy x -> RetryStrategy #
NFData RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods rnf :: RetryStrategy -> () #
Hashable RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods hashWithSalt :: Int -> RetryStrategy -> Int # hash :: RetryStrategy -> Int #
ToJSON RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods toJSON :: RetryStrategy -> Value # toEncoding :: RetryStrategy -> Encoding # toJSONList :: [RetryStrategy] -> Value # toEncodingList :: [RetryStrategy] -> Encoding #
FromJSON RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy Methods parseJSON :: Value -> Parser RetryStrategy # parseJSONList :: Value -> Parser [RetryStrategy] #
type Rep RetryStrategy Source #
Instance details Defined in Amazonka.SageMaker.Types.RetryStrategy type Rep RetryStrategy = D1 ('MetaData "RetryStrategy" "Amazonka.SageMaker.Types.RetryStrategy" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "RetryStrategy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maximumRetryAttempts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newRetryStrategy Source #

Arguments

:: Natural	`$sel:maximumRetryAttempts:RetryStrategy'`
-> RetryStrategy

Create a value of RetryStrategy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maximumRetryAttempts:RetryStrategy', retryStrategy_maximumRetryAttempts - The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.

retryStrategy_maximumRetryAttempts :: Lens' RetryStrategy Natural Source #

The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.

S3DataSource

data S3DataSource Source #

Describes the S3 data source.

See: newS3DataSource smart constructor.

Constructors

S3DataSource'

Fields

s3DataDistributionType :: Maybe S3DataDistribution
If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.
If you want Amazon SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.
Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.
In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.
attributeNames :: Maybe [Text]
A list of one or more attribute names to use that are found in a specified augmented manifest file.
s3DataType :: S3DataType
If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects that match the specified key name prefix for model training.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for model training.
If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.
s3Uri :: Text
Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:
- A key name prefix might look like this: s3://bucketname/exampleprefix
- A manifest might look like this: s3://bucketname/example.manifest
  A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.
  The following code example shows a valid manifest format:
```
[ {"prefix": "s3://customer_bucket/some/prefix/"},
```
```
 "relative/path/to/custdata-1",
```
```
 "relative/path/custdata-2",
```
```
 ...
```
```
 "relative/path/custdata-N"
```
```
]
```
  This JSON is equivalent to the following S3Uri list:
```
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-2
```
```
...
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-N
```
  The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

Instances

Instances details

Eq S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods (==) :: S3DataSource -> S3DataSource -> Bool # (/=) :: S3DataSource -> S3DataSource -> Bool #
Read S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods readsPrec :: Int -> ReadS S3DataSource # readList :: ReadS [S3DataSource] # readPrec :: ReadPrec S3DataSource # readListPrec :: ReadPrec [S3DataSource] #
Show S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods showsPrec :: Int -> S3DataSource -> ShowS # show :: S3DataSource -> String # showList :: [S3DataSource] -> ShowS #
Generic S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Associated Types type Rep S3DataSource :: Type -> Type # Methods from :: S3DataSource -> Rep S3DataSource x # to :: Rep S3DataSource x -> S3DataSource #
NFData S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods rnf :: S3DataSource -> () #
Hashable S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods hashWithSalt :: Int -> S3DataSource -> Int # hash :: S3DataSource -> Int #
ToJSON S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods toJSON :: S3DataSource -> Value # toEncoding :: S3DataSource -> Encoding # toJSONList :: [S3DataSource] -> Value # toEncodingList :: [S3DataSource] -> Encoding #
FromJSON S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource Methods parseJSON :: Value -> Parser S3DataSource # parseJSONList :: Value -> Parser [S3DataSource] #
type Rep S3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.S3DataSource type Rep S3DataSource = D1 ('MetaData "S3DataSource" "Amazonka.SageMaker.Types.S3DataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "S3DataSource'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3DataDistribution)) :: S1 ('MetaSel ('Just "attributeNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataType) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newS3DataSource Source #

Arguments

:: S3DataType	`$sel:s3DataType:S3DataSource'`
-> Text	`$sel:s3Uri:S3DataSource'`
-> S3DataSource

Create a value of S3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataDistributionType:S3DataSource', s3DataSource_s3DataDistributionType - If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.

If you want Amazon SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.

Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.

In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.

$sel:attributeNames:S3DataSource', s3DataSource_attributeNames - A list of one or more attribute names to use that are found in a specified augmented manifest file.

$sel:s3DataType:S3DataSource', s3DataSource_s3DataType - If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects that match the specified key name prefix for model training.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for model training.

If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.

$sel:s3Uri:S3DataSource', s3DataSource_s3Uri - Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

A key name prefix might look like this: s3://bucketname/exampleprefix
A manifest might look like this: s3://bucketname/example.manifest
A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.
The following code example shows a valid manifest format:
```
[ {"prefix": "s3://customer_bucket/some/prefix/"},
```
```
 "relative/path/to/custdata-1",
```
```
 "relative/path/custdata-2",
```
```
 ...
```
```
 "relative/path/custdata-N"
```
```
]
```
This JSON is equivalent to the following S3Uri list:
```
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-2
```
```
...
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-N
```
The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

s3DataSource_s3DataDistributionType :: Lens' S3DataSource (Maybe S3DataDistribution) Source #

If you want Amazon SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.

If you want Amazon SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.

Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.

In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.

s3DataSource_attributeNames :: Lens' S3DataSource (Maybe [Text]) Source #

A list of one or more attribute names to use that are found in a specified augmented manifest file.

s3DataSource_s3DataType :: Lens' S3DataSource S3DataType Source #

If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects that match the specified key name prefix for model training.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for model training.

If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.

s3DataSource_s3Uri :: Lens' S3DataSource Text Source #

Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

A key name prefix might look like this: s3://bucketname/exampleprefix
A manifest might look like this: s3://bucketname/example.manifest
A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.
The following code example shows a valid manifest format:
```
[ {"prefix": "s3://customer_bucket/some/prefix/"},
```
```
 "relative/path/to/custdata-1",
```
```
 "relative/path/custdata-2",
```
```
 ...
```
```
 "relative/path/custdata-N"
```
```
]
```
This JSON is equivalent to the following S3Uri list:
```
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-2
```
```
...
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-N
```
The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

S3StorageConfig

data S3StorageConfig Source #

The Amazon Simple Storage (Amazon S3) location and and security configuration for OfflineStore.

See: newS3StorageConfig smart constructor.

Constructors

S3StorageConfig'

Fields

resolvedOutputS3Uri :: Maybe Text
The S3 path where offline records are written.
kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (KMS) key ID of the key used to encrypt any objects written into the OfflineStore S3 location.
The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:
- ```
"kms:GenerateDataKey"
```
s3Uri :: Text
The S3 URI, or location in Amazon S3, of OfflineStore.
S3 URIs have a format similar to the following: s3://example-bucket/prefix/.

Instances

Instances details

Eq S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods (==) :: S3StorageConfig -> S3StorageConfig -> Bool # (/=) :: S3StorageConfig -> S3StorageConfig -> Bool #
Read S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods readsPrec :: Int -> ReadS S3StorageConfig # readList :: ReadS [S3StorageConfig] # readPrec :: ReadPrec S3StorageConfig # readListPrec :: ReadPrec [S3StorageConfig] #
Show S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods showsPrec :: Int -> S3StorageConfig -> ShowS # show :: S3StorageConfig -> String # showList :: [S3StorageConfig] -> ShowS #
Generic S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Associated Types type Rep S3StorageConfig :: Type -> Type # Methods from :: S3StorageConfig -> Rep S3StorageConfig x # to :: Rep S3StorageConfig x -> S3StorageConfig #
NFData S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods rnf :: S3StorageConfig -> () #
Hashable S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods hashWithSalt :: Int -> S3StorageConfig -> Int # hash :: S3StorageConfig -> Int #
ToJSON S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods toJSON :: S3StorageConfig -> Value # toEncoding :: S3StorageConfig -> Encoding # toJSONList :: [S3StorageConfig] -> Value # toEncodingList :: [S3StorageConfig] -> Encoding #
FromJSON S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig Methods parseJSON :: Value -> Parser S3StorageConfig # parseJSONList :: Value -> Parser [S3StorageConfig] #
type Rep S3StorageConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.S3StorageConfig type Rep S3StorageConfig = D1 ('MetaData "S3StorageConfig" "Amazonka.SageMaker.Types.S3StorageConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "S3StorageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resolvedOutputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newS3StorageConfig Source #

Arguments

:: Text	`$sel:s3Uri:S3StorageConfig'`
-> S3StorageConfig

Create a value of S3StorageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resolvedOutputS3Uri:S3StorageConfig', s3StorageConfig_resolvedOutputS3Uri - The S3 path where offline records are written.

$sel:kmsKeyId:S3StorageConfig', s3StorageConfig_kmsKeyId - The Amazon Web Services Key Management Service (KMS) key ID of the key used to encrypt any objects written into the OfflineStore S3 location.

The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:

```
"kms:GenerateDataKey"
```

$sel:s3Uri:S3StorageConfig', s3StorageConfig_s3Uri - The S3 URI, or location in Amazon S3, of OfflineStore.

S3 URIs have a format similar to the following: s3://example-bucket/prefix/.

s3StorageConfig_resolvedOutputS3Uri :: Lens' S3StorageConfig (Maybe Text) Source #

The S3 path where offline records are written.

s3StorageConfig_kmsKeyId :: Lens' S3StorageConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (KMS) key ID of the key used to encrypt any objects written into the OfflineStore S3 location.

The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:

```
"kms:GenerateDataKey"
```

s3StorageConfig_s3Uri :: Lens' S3StorageConfig Text Source #

The S3 URI, or location in Amazon S3, of OfflineStore.

S3 URIs have a format similar to the following: s3://example-bucket/prefix/.

ScheduleConfig

data ScheduleConfig Source #

Configuration details about the monitoring schedule.

See: newScheduleConfig smart constructor.

Constructors

ScheduleConfig'

Fields

scheduleExpression :: Text
A cron expression that describes details about the monitoring schedule.
Currently the only supported cron expressions are:
- If you want to set the job to start every hour, please use the following:
```
Hourly: cron(0 * ? * * *)
```
- If you want to start the job daily:
```
cron(0 [00-23] ? * * *)
```
For example, the following are valid cron expressions:
- Daily at noon UTC: cron(0 12 ? * * *)
- Daily at midnight UTC: cron(0 0 ? * * *)
To support running every 6, 12 hours, the following are also supported:
```
cron(0 [00-23]/[01-24] ? * * *)
```
For example, the following are valid cron expressions:
- Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
- Every two hours starting at midnight: cron(0 0/2 ? * * *)
- Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
- We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.

Instances

Instances details

Eq ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods (==) :: ScheduleConfig -> ScheduleConfig -> Bool # (/=) :: ScheduleConfig -> ScheduleConfig -> Bool #
Read ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods readsPrec :: Int -> ReadS ScheduleConfig # readList :: ReadS [ScheduleConfig] # readPrec :: ReadPrec ScheduleConfig # readListPrec :: ReadPrec [ScheduleConfig] #
Show ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods showsPrec :: Int -> ScheduleConfig -> ShowS # show :: ScheduleConfig -> String # showList :: [ScheduleConfig] -> ShowS #
Generic ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Associated Types type Rep ScheduleConfig :: Type -> Type # Methods from :: ScheduleConfig -> Rep ScheduleConfig x # to :: Rep ScheduleConfig x -> ScheduleConfig #
NFData ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods rnf :: ScheduleConfig -> () #
Hashable ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods hashWithSalt :: Int -> ScheduleConfig -> Int # hash :: ScheduleConfig -> Int #
ToJSON ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods toJSON :: ScheduleConfig -> Value # toEncoding :: ScheduleConfig -> Encoding # toJSONList :: [ScheduleConfig] -> Value # toEncodingList :: [ScheduleConfig] -> Encoding #
FromJSON ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig Methods parseJSON :: Value -> Parser ScheduleConfig # parseJSONList :: Value -> Parser [ScheduleConfig] #
type Rep ScheduleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ScheduleConfig type Rep ScheduleConfig = D1 ('MetaData "ScheduleConfig" "Amazonka.SageMaker.Types.ScheduleConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ScheduleConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "scheduleExpression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newScheduleConfig Source #

Arguments

:: Text	`$sel:scheduleExpression:ScheduleConfig'`
-> ScheduleConfig

Create a value of ScheduleConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:scheduleExpression:ScheduleConfig', scheduleConfig_scheduleExpression - A cron expression that describes details about the monitoring schedule.

Currently the only supported cron expressions are:

If you want to set the job to start every hour, please use the following:
```
Hourly: cron(0 * ? * * *)
```
If you want to start the job daily:
```
cron(0 [00-23] ? * * *)
```

For example, the following are valid cron expressions:

Daily at noon UTC: cron(0 12 ? * * *)
Daily at midnight UTC: cron(0 0 ? * * *)

To support running every 6, 12 hours, the following are also supported:

cron(0 [00-23]/[01-24] ? * * *)

For example, the following are valid cron expressions:

Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
Every two hours starting at midnight: cron(0 0/2 ? * * *)
Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.

scheduleConfig_scheduleExpression :: Lens' ScheduleConfig Text Source #

A cron expression that describes details about the monitoring schedule.

Currently the only supported cron expressions are:

If you want to set the job to start every hour, please use the following:
```
Hourly: cron(0 * ? * * *)
```
If you want to start the job daily:
```
cron(0 [00-23] ? * * *)
```

For example, the following are valid cron expressions:

Daily at noon UTC: cron(0 12 ? * * *)
Daily at midnight UTC: cron(0 0 ? * * *)

To support running every 6, 12 hours, the following are also supported:

cron(0 [00-23]/[01-24] ? * * *)

For example, the following are valid cron expressions:

Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
Every two hours starting at midnight: cron(0 0/2 ? * * *)
Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.

SearchExpression

data SearchExpression Source #

A multi-expression that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results. You must specify at least one subexpression, filter, or nested filter. A SearchExpression can contain up to twenty elements.

A SearchExpression contains the following components:

A list of Filter objects. Each filter defines a simple Boolean expression comprised of a resource property name, Boolean operator, and value.
A list of NestedFilter objects. Each nested filter defines a list of Boolean expressions using a list of resource properties. A nested filter is satisfied if a single object in the list satisfies all Boolean expressions.
A list of SearchExpression objects. A search expression object can be nested in a list of search expression objects.
A Boolean operator: And or Or.

See: newSearchExpression smart constructor.

Constructors

SearchExpression'

Fields

subExpressions :: Maybe (NonEmpty SearchExpression)
A list of search expression objects.
operator :: Maybe BooleanOperator
A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.
filters :: Maybe (NonEmpty Filter)
A list of filter objects.
nestedFilters :: Maybe (NonEmpty NestedFilters)
A list of nested filter objects.

Instances

Instances details

Eq SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Methods (==) :: SearchExpression -> SearchExpression -> Bool # (/=) :: SearchExpression -> SearchExpression -> Bool #
Read SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Methods readsPrec :: Int -> ReadS SearchExpression # readList :: ReadS [SearchExpression] # readPrec :: ReadPrec SearchExpression # readListPrec :: ReadPrec [SearchExpression] #
Show SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Methods showsPrec :: Int -> SearchExpression -> ShowS # show :: SearchExpression -> String # showList :: [SearchExpression] -> ShowS #
Generic SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Associated Types type Rep SearchExpression :: Type -> Type # Methods from :: SearchExpression -> Rep SearchExpression x # to :: Rep SearchExpression x -> SearchExpression #
NFData SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Methods rnf :: SearchExpression -> () #
Hashable SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Methods hashWithSalt :: Int -> SearchExpression -> Int # hash :: SearchExpression -> Int #
ToJSON SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression Methods toJSON :: SearchExpression -> Value # toEncoding :: SearchExpression -> Encoding # toJSONList :: [SearchExpression] -> Value # toEncodingList :: [SearchExpression] -> Encoding #
type Rep SearchExpression Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchExpression type Rep SearchExpression = D1 ('MetaData "SearchExpression" "Amazonka.SageMaker.Types.SearchExpression" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SearchExpression'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "subExpressions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty SearchExpression))) :: S1 ('MetaSel ('Just "operator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BooleanOperator))) :: (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Filter))) :*: S1 ('MetaSel ('Just "nestedFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty NestedFilters))))))

newSearchExpression :: SearchExpression Source #

Create a value of SearchExpression with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:subExpressions:SearchExpression', searchExpression_subExpressions - A list of search expression objects.

$sel:operator:SearchExpression', searchExpression_operator - A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.

$sel:filters:SearchExpression', searchExpression_filters - A list of filter objects.

$sel:nestedFilters:SearchExpression', searchExpression_nestedFilters - A list of nested filter objects.

searchExpression_subExpressions :: Lens' SearchExpression (Maybe (NonEmpty SearchExpression)) Source #

A list of search expression objects.

searchExpression_operator :: Lens' SearchExpression (Maybe BooleanOperator) Source #

A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.

searchExpression_filters :: Lens' SearchExpression (Maybe (NonEmpty Filter)) Source #

A list of filter objects.

searchExpression_nestedFilters :: Lens' SearchExpression (Maybe (NonEmpty NestedFilters)) Source #

A list of nested filter objects.

SearchRecord

data SearchRecord Source #

A single resource returned as part of the Search API response.

See: newSearchRecord smart constructor.

Constructors

SearchRecord'

Fields

trainingJob :: Maybe TrainingJob
The properties of a training job.
trial :: Maybe Trial
The properties of a trial.
modelPackageGroup :: Maybe ModelPackageGroup
trialComponent :: Maybe TrialComponent
The properties of a trial component.
project :: Maybe Project
The properties of a project.
pipelineExecution :: Maybe PipelineExecution
featureGroup :: Maybe FeatureGroup
experiment :: Maybe Experiment
The properties of an experiment.
pipeline :: Maybe Pipeline
modelPackage :: Maybe ModelPackage
endpoint :: Maybe Endpoint

Instances

Instances details

Eq SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Methods (==) :: SearchRecord -> SearchRecord -> Bool # (/=) :: SearchRecord -> SearchRecord -> Bool #
Read SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Methods readsPrec :: Int -> ReadS SearchRecord # readList :: ReadS [SearchRecord] # readPrec :: ReadPrec SearchRecord # readListPrec :: ReadPrec [SearchRecord] #
Show SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Methods showsPrec :: Int -> SearchRecord -> ShowS # show :: SearchRecord -> String # showList :: [SearchRecord] -> ShowS #
Generic SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Associated Types type Rep SearchRecord :: Type -> Type # Methods from :: SearchRecord -> Rep SearchRecord x # to :: Rep SearchRecord x -> SearchRecord #
NFData SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Methods rnf :: SearchRecord -> () #
Hashable SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Methods hashWithSalt :: Int -> SearchRecord -> Int # hash :: SearchRecord -> Int #
FromJSON SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord Methods parseJSON :: Value -> Parser SearchRecord # parseJSONList :: Value -> Parser [SearchRecord] #
type Rep SearchRecord Source #
Instance details Defined in Amazonka.SageMaker.Types.SearchRecord type Rep SearchRecord = D1 ('MetaData "SearchRecord" "Amazonka.SageMaker.Types.SearchRecord" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SearchRecord'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "trainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJob)) :: S1 ('MetaSel ('Just "trial") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Trial))) :: (S1 ('MetaSel ('Just "modelPackageGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageGroup)) :: (S1 ('MetaSel ('Just "trialComponent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponent)) :: S1 ('MetaSel ('Just "project") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Project))))) :: ((S1 ('MetaSel ('Just "pipelineExecution") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecution)) :: (S1 ('MetaSel ('Just "featureGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureGroup)) :: S1 ('MetaSel ('Just "experiment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Experiment)))) :: (S1 ('MetaSel ('Just "pipeline") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pipeline)) :: (S1 ('MetaSel ('Just "modelPackage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackage)) :: S1 ('MetaSel ('Just "endpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Endpoint)))))))

newSearchRecord :: SearchRecord Source #

Create a value of SearchRecord with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:trainingJob:SearchRecord', searchRecord_trainingJob - The properties of a training job.

$sel:trial:SearchRecord', searchRecord_trial - The properties of a trial.

$sel:modelPackageGroup:SearchRecord', searchRecord_modelPackageGroup - Undocumented member.

$sel:trialComponent:SearchRecord', searchRecord_trialComponent - The properties of a trial component.

$sel:project:SearchRecord', searchRecord_project - The properties of a project.

$sel:pipelineExecution:SearchRecord', searchRecord_pipelineExecution - Undocumented member.

$sel:featureGroup:SearchRecord', searchRecord_featureGroup - Undocumented member.

$sel:experiment:SearchRecord', searchRecord_experiment - The properties of an experiment.

$sel:pipeline:SearchRecord', searchRecord_pipeline - Undocumented member.

$sel:modelPackage:SearchRecord', searchRecord_modelPackage - Undocumented member.

$sel:endpoint:SearchRecord', searchRecord_endpoint - Undocumented member.

searchRecord_trainingJob :: Lens' SearchRecord (Maybe TrainingJob) Source #

The properties of a training job.

searchRecord_trial :: Lens' SearchRecord (Maybe Trial) Source #

The properties of a trial.

searchRecord_modelPackageGroup :: Lens' SearchRecord (Maybe ModelPackageGroup) Source #

Undocumented member.

searchRecord_trialComponent :: Lens' SearchRecord (Maybe TrialComponent) Source #

The properties of a trial component.

searchRecord_project :: Lens' SearchRecord (Maybe Project) Source #

The properties of a project.

searchRecord_pipelineExecution :: Lens' SearchRecord (Maybe PipelineExecution) Source #

Undocumented member.

searchRecord_featureGroup :: Lens' SearchRecord (Maybe FeatureGroup) Source #

Undocumented member.

searchRecord_experiment :: Lens' SearchRecord (Maybe Experiment) Source #

The properties of an experiment.

searchRecord_pipeline :: Lens' SearchRecord (Maybe Pipeline) Source #

Undocumented member.

searchRecord_modelPackage :: Lens' SearchRecord (Maybe ModelPackage) Source #

Undocumented member.

searchRecord_endpoint :: Lens' SearchRecord (Maybe Endpoint) Source #

Undocumented member.

SecondaryStatusTransition

data SecondaryStatusTransition Source #

An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions. It provides additional details about a status that the training job has transitioned through. A training job can be in one of several states, for example, starting, downloading, training, or uploading. Within each state, there are a number of intermediate states. For example, within the starting state, Amazon SageMaker could be starting the training job or launching the ML instances. These transitional states are referred to as the job's secondary status.

See: newSecondaryStatusTransition smart constructor.

Constructors

SecondaryStatusTransition'

Fields

statusMessage :: Maybe Text
A detailed description of the progress within a secondary status.
Amazon SageMaker provides secondary statuses and status messages that apply to each of them:
Starting
- Starting the training job.
- Launching requested ML instances.
- Insufficient capacity error from EC2 while launching instances, retrying!
- Launched instance was unhealthy, replacing it!
- Preparing the instances for training.
Training
- Downloading the training image.
- Training image download completed. Training in progress.
Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.
To have an overview of your training job's progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:
- TrainingJobStatus - InProgress
- SecondaryStatus - Training
- StatusMessage - Downloading the training image
endTime :: Maybe POSIX
A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.
status :: SecondaryStatus
Contains a secondary status information from a training job.
Status might be one of the following secondary statuses:
InProgress
- Starting - Starting the training job.
- Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
- Training - Training is in progress.
- Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed
- Completed - The training job has completed.
Failed
- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
Stopped
- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
- Stopped - The training job has stopped.
Stopping
- Stopping - Stopping the training job.
We no longer support the following secondary statuses:
- ```
LaunchingMLInstances
```
- ```
PreparingTrainingStack
```
- ```
DownloadingTrainingImage
```
startTime :: POSIX
A timestamp that shows when the training job transitioned to the current secondary status state.

Instances

Instances details

Eq SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Methods (==) :: SecondaryStatusTransition -> SecondaryStatusTransition -> Bool # (/=) :: SecondaryStatusTransition -> SecondaryStatusTransition -> Bool #
Read SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Methods readsPrec :: Int -> ReadS SecondaryStatusTransition # readList :: ReadS [SecondaryStatusTransition] # readPrec :: ReadPrec SecondaryStatusTransition # readListPrec :: ReadPrec [SecondaryStatusTransition] #
Show SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Methods showsPrec :: Int -> SecondaryStatusTransition -> ShowS # show :: SecondaryStatusTransition -> String # showList :: [SecondaryStatusTransition] -> ShowS #
Generic SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Associated Types type Rep SecondaryStatusTransition :: Type -> Type # Methods from :: SecondaryStatusTransition -> Rep SecondaryStatusTransition x # to :: Rep SecondaryStatusTransition x -> SecondaryStatusTransition #
NFData SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Methods rnf :: SecondaryStatusTransition -> () #
Hashable SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Methods hashWithSalt :: Int -> SecondaryStatusTransition -> Int # hash :: SecondaryStatusTransition -> Int #
FromJSON SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition Methods parseJSON :: Value -> Parser SecondaryStatusTransition # parseJSONList :: Value -> Parser [SecondaryStatusTransition] #
type Rep SecondaryStatusTransition Source #
Instance details Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition type Rep SecondaryStatusTransition = D1 ('MetaData "SecondaryStatusTransition" "Amazonka.SageMaker.Types.SecondaryStatusTransition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SecondaryStatusTransition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 SecondaryStatus) :*: S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newSecondaryStatusTransition Source #

Arguments

:: SecondaryStatus	`$sel:status:SecondaryStatusTransition'`
-> UTCTime	`$sel:startTime:SecondaryStatusTransition'`
-> SecondaryStatusTransition

Create a value of SecondaryStatusTransition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:statusMessage:SecondaryStatusTransition', secondaryStatusTransition_statusMessage - A detailed description of the progress within a secondary status.

Amazon SageMaker provides secondary statuses and status messages that apply to each of them:

Starting

- Starting the training job.

Launching requested ML instances.
Insufficient capacity error from EC2 while launching instances, retrying!
Launched instance was unhealthy, replacing it!
Preparing the instances for training.

Training

- Downloading the training image.

Training image download completed. Training in progress.

Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.

To have an overview of your training job's progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:

TrainingJobStatus - InProgress
SecondaryStatus - Training
StatusMessage - Downloading the training image

$sel:endTime:SecondaryStatusTransition', secondaryStatusTransition_endTime - A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.

$sel:status:SecondaryStatusTransition', secondaryStatusTransition_status - Contains a secondary status information from a training job.

Status might be one of the following secondary statuses:

InProgress

- Starting - Starting the training job.

Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.

Completed

- Completed - The training job has completed.

Failed

- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

Stopped

- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

Stopped - The training job has stopped.

Stopping

- Stopping - Stopping the training job.

We no longer support the following secondary statuses:

```
LaunchingMLInstances
```
```
PreparingTrainingStack
```
```
DownloadingTrainingImage
```

$sel:startTime:SecondaryStatusTransition', secondaryStatusTransition_startTime - A timestamp that shows when the training job transitioned to the current secondary status state.

secondaryStatusTransition_statusMessage :: Lens' SecondaryStatusTransition (Maybe Text) Source #

A detailed description of the progress within a secondary status.

Amazon SageMaker provides secondary statuses and status messages that apply to each of them:

Starting

- Starting the training job.

Launching requested ML instances.
Insufficient capacity error from EC2 while launching instances, retrying!
Launched instance was unhealthy, replacing it!
Preparing the instances for training.

Training

- Downloading the training image.

Training image download completed. Training in progress.

Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.

To have an overview of your training job's progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:

TrainingJobStatus - InProgress
SecondaryStatus - Training
StatusMessage - Downloading the training image

secondaryStatusTransition_endTime :: Lens' SecondaryStatusTransition (Maybe UTCTime) Source #

A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.

secondaryStatusTransition_status :: Lens' SecondaryStatusTransition SecondaryStatus Source #

Contains a secondary status information from a training job.

Status might be one of the following secondary statuses:

InProgress

- Starting - Starting the training job.

Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.

Completed

- Completed - The training job has completed.

Failed

- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

Stopped

- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

Stopped - The training job has stopped.

Stopping

- Stopping - Stopping the training job.

We no longer support the following secondary statuses:

```
LaunchingMLInstances
```
```
PreparingTrainingStack
```
```
DownloadingTrainingImage
```

secondaryStatusTransition_startTime :: Lens' SecondaryStatusTransition UTCTime Source #

A timestamp that shows when the training job transitioned to the current secondary status state.

ServiceCatalogProvisionedProductDetails

data ServiceCatalogProvisionedProductDetails Source #

Details of a provisioned service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.

See: newServiceCatalogProvisionedProductDetails smart constructor.

Constructors

ServiceCatalogProvisionedProductDetails'

Fields

provisionedProductStatusMessage :: Maybe Text
The current status of the product.
- AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
- UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
- TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
- ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
- PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.
provisionedProductId :: Maybe Text
The ID of the provisioned product.

Instances

Instances details

Eq ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Methods (==) :: ServiceCatalogProvisionedProductDetails -> ServiceCatalogProvisionedProductDetails -> Bool # (/=) :: ServiceCatalogProvisionedProductDetails -> ServiceCatalogProvisionedProductDetails -> Bool #
Read ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Methods readsPrec :: Int -> ReadS ServiceCatalogProvisionedProductDetails # readList :: ReadS [ServiceCatalogProvisionedProductDetails] # readPrec :: ReadPrec ServiceCatalogProvisionedProductDetails # readListPrec :: ReadPrec [ServiceCatalogProvisionedProductDetails] #
Show ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Methods showsPrec :: Int -> ServiceCatalogProvisionedProductDetails -> ShowS # show :: ServiceCatalogProvisionedProductDetails -> String # showList :: [ServiceCatalogProvisionedProductDetails] -> ShowS #
Generic ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Associated Types type Rep ServiceCatalogProvisionedProductDetails :: Type -> Type # Methods from :: ServiceCatalogProvisionedProductDetails -> Rep ServiceCatalogProvisionedProductDetails x # to :: Rep ServiceCatalogProvisionedProductDetails x -> ServiceCatalogProvisionedProductDetails #
NFData ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Methods rnf :: ServiceCatalogProvisionedProductDetails -> () #
Hashable ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Methods hashWithSalt :: Int -> ServiceCatalogProvisionedProductDetails -> Int # hash :: ServiceCatalogProvisionedProductDetails -> Int #
FromJSON ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails Methods parseJSON :: Value -> Parser ServiceCatalogProvisionedProductDetails # parseJSONList :: Value -> Parser [ServiceCatalogProvisionedProductDetails] #
type Rep ServiceCatalogProvisionedProductDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails type Rep ServiceCatalogProvisionedProductDetails = D1 ('MetaData "ServiceCatalogProvisionedProductDetails" "Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ServiceCatalogProvisionedProductDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "provisionedProductStatusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "provisionedProductId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newServiceCatalogProvisionedProductDetails :: ServiceCatalogProvisionedProductDetails Source #

Create a value of ServiceCatalogProvisionedProductDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:provisionedProductStatusMessage:ServiceCatalogProvisionedProductDetails', serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage - The current status of the product.

AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.

$sel:provisionedProductId:ServiceCatalogProvisionedProductDetails', serviceCatalogProvisionedProductDetails_provisionedProductId - The ID of the provisioned product.

serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text) Source #

The current status of the product.

AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.

serviceCatalogProvisionedProductDetails_provisionedProductId :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text) Source #

The ID of the provisioned product.

ServiceCatalogProvisioningDetails

data ServiceCatalogProvisioningDetails Source #

Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.

See: newServiceCatalogProvisioningDetails smart constructor.

Constructors

ServiceCatalogProvisioningDetails'

Fields

provisioningArtifactId :: Maybe Text
The ID of the provisioning artifact.
pathId :: Maybe Text
The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.
provisioningParameters :: Maybe [ProvisioningParameter]
A list of key value pairs that you specify when you provision a product.
productId :: Text
The ID of the product to provision.

Instances

Instances details

Eq ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods (==) :: ServiceCatalogProvisioningDetails -> ServiceCatalogProvisioningDetails -> Bool # (/=) :: ServiceCatalogProvisioningDetails -> ServiceCatalogProvisioningDetails -> Bool #
Read ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods readsPrec :: Int -> ReadS ServiceCatalogProvisioningDetails # readList :: ReadS [ServiceCatalogProvisioningDetails] # readPrec :: ReadPrec ServiceCatalogProvisioningDetails # readListPrec :: ReadPrec [ServiceCatalogProvisioningDetails] #
Show ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods showsPrec :: Int -> ServiceCatalogProvisioningDetails -> ShowS # show :: ServiceCatalogProvisioningDetails -> String # showList :: [ServiceCatalogProvisioningDetails] -> ShowS #
Generic ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Associated Types type Rep ServiceCatalogProvisioningDetails :: Type -> Type # Methods from :: ServiceCatalogProvisioningDetails -> Rep ServiceCatalogProvisioningDetails x # to :: Rep ServiceCatalogProvisioningDetails x -> ServiceCatalogProvisioningDetails #
NFData ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods rnf :: ServiceCatalogProvisioningDetails -> () #
Hashable ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods hashWithSalt :: Int -> ServiceCatalogProvisioningDetails -> Int # hash :: ServiceCatalogProvisioningDetails -> Int #
ToJSON ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods toJSON :: ServiceCatalogProvisioningDetails -> Value # toEncoding :: ServiceCatalogProvisioningDetails -> Encoding # toJSONList :: [ServiceCatalogProvisioningDetails] -> Value # toEncodingList :: [ServiceCatalogProvisioningDetails] -> Encoding #
FromJSON ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails Methods parseJSON :: Value -> Parser ServiceCatalogProvisioningDetails # parseJSONList :: Value -> Parser [ServiceCatalogProvisioningDetails] #
type Rep ServiceCatalogProvisioningDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails type Rep ServiceCatalogProvisioningDetails = D1 ('MetaData "ServiceCatalogProvisioningDetails" "Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ServiceCatalogProvisioningDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "provisioningArtifactId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "pathId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "provisioningParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProvisioningParameter])) :*: S1 ('MetaSel ('Just "productId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newServiceCatalogProvisioningDetails Source #

Arguments

:: Text	`$sel:productId:ServiceCatalogProvisioningDetails'`
-> ServiceCatalogProvisioningDetails

Create a value of ServiceCatalogProvisioningDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:provisioningArtifactId:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_provisioningArtifactId - The ID of the provisioning artifact.

$sel:pathId:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_pathId - The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.

$sel:provisioningParameters:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_provisioningParameters - A list of key value pairs that you specify when you provision a product.

$sel:productId:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_productId - The ID of the product to provision.

serviceCatalogProvisioningDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text) Source #

The ID of the provisioning artifact.

serviceCatalogProvisioningDetails_pathId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text) Source #

The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.

serviceCatalogProvisioningDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningDetails (Maybe [ProvisioningParameter]) Source #

A list of key value pairs that you specify when you provision a product.

serviceCatalogProvisioningDetails_productId :: Lens' ServiceCatalogProvisioningDetails Text Source #

The ID of the product to provision.

SharingSettings

data SharingSettings Source #

Specifies options for sharing SageMaker Studio notebooks. These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called. When SharingSettings is not specified, notebook sharing isn't allowed.

See: newSharingSettings smart constructor.

Constructors

SharingSettings'

Fields

s3KmsKeyId :: Maybe Text
When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.
s3OutputPath :: Maybe Text
When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.
notebookOutputOption :: Maybe NotebookOutputOption
Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

Instances

Instances details

Eq SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods (==) :: SharingSettings -> SharingSettings -> Bool # (/=) :: SharingSettings -> SharingSettings -> Bool #
Read SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods readsPrec :: Int -> ReadS SharingSettings # readList :: ReadS [SharingSettings] # readPrec :: ReadPrec SharingSettings # readListPrec :: ReadPrec [SharingSettings] #
Show SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods showsPrec :: Int -> SharingSettings -> ShowS # show :: SharingSettings -> String # showList :: [SharingSettings] -> ShowS #
Generic SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Associated Types type Rep SharingSettings :: Type -> Type # Methods from :: SharingSettings -> Rep SharingSettings x # to :: Rep SharingSettings x -> SharingSettings #
NFData SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods rnf :: SharingSettings -> () #
Hashable SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods hashWithSalt :: Int -> SharingSettings -> Int # hash :: SharingSettings -> Int #
ToJSON SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods toJSON :: SharingSettings -> Value # toEncoding :: SharingSettings -> Encoding # toJSONList :: [SharingSettings] -> Value # toEncodingList :: [SharingSettings] -> Encoding #
FromJSON SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings Methods parseJSON :: Value -> Parser SharingSettings # parseJSONList :: Value -> Parser [SharingSettings] #
type Rep SharingSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.SharingSettings type Rep SharingSettings = D1 ('MetaData "SharingSettings" "Amazonka.SageMaker.Types.SharingSettings" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SharingSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3KmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "notebookOutputOption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotebookOutputOption)))))

newSharingSettings :: SharingSettings Source #

Create a value of SharingSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3KmsKeyId:SharingSettings', sharingSettings_s3KmsKeyId - When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

$sel:s3OutputPath:SharingSettings', sharingSettings_s3OutputPath - When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

$sel:notebookOutputOption:SharingSettings', sharingSettings_notebookOutputOption - Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

sharingSettings_s3KmsKeyId :: Lens' SharingSettings (Maybe Text) Source #

When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

sharingSettings_s3OutputPath :: Lens' SharingSettings (Maybe Text) Source #

When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

sharingSettings_notebookOutputOption :: Lens' SharingSettings (Maybe NotebookOutputOption) Source #

Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

ShuffleConfig

data ShuffleConfig Source #

A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, when ShuffleConfig is specified shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

See: newShuffleConfig smart constructor.

Constructors

ShuffleConfig'
Fields seed :: Integer Determines the shuffling order in `ShuffleConfig` value.

Instances

Instances details

Eq ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods (==) :: ShuffleConfig -> ShuffleConfig -> Bool # (/=) :: ShuffleConfig -> ShuffleConfig -> Bool #
Read ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods readsPrec :: Int -> ReadS ShuffleConfig # readList :: ReadS [ShuffleConfig] # readPrec :: ReadPrec ShuffleConfig # readListPrec :: ReadPrec [ShuffleConfig] #
Show ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods showsPrec :: Int -> ShuffleConfig -> ShowS # show :: ShuffleConfig -> String # showList :: [ShuffleConfig] -> ShowS #
Generic ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Associated Types type Rep ShuffleConfig :: Type -> Type # Methods from :: ShuffleConfig -> Rep ShuffleConfig x # to :: Rep ShuffleConfig x -> ShuffleConfig #
NFData ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods rnf :: ShuffleConfig -> () #
Hashable ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods hashWithSalt :: Int -> ShuffleConfig -> Int # hash :: ShuffleConfig -> Int #
ToJSON ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods toJSON :: ShuffleConfig -> Value # toEncoding :: ShuffleConfig -> Encoding # toJSONList :: [ShuffleConfig] -> Value # toEncodingList :: [ShuffleConfig] -> Encoding #
FromJSON ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig Methods parseJSON :: Value -> Parser ShuffleConfig # parseJSONList :: Value -> Parser [ShuffleConfig] #
type Rep ShuffleConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.ShuffleConfig type Rep ShuffleConfig = D1 ('MetaData "ShuffleConfig" "Amazonka.SageMaker.Types.ShuffleConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "ShuffleConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "seed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))

newShuffleConfig Source #

Arguments

:: Integer	`$sel:seed:ShuffleConfig'`
-> ShuffleConfig

Create a value of ShuffleConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:seed:ShuffleConfig', shuffleConfig_seed - Determines the shuffling order in ShuffleConfig value.

shuffleConfig_seed :: Lens' ShuffleConfig Integer Source #

Determines the shuffling order in ShuffleConfig value.

SourceAlgorithm

data SourceAlgorithm Source #

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

See: newSourceAlgorithm smart constructor.

Constructors

SourceAlgorithm'

Fields

modelDataUrl :: Maybe Text
The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
The model artifacts must be in an S3 bucket that is in the same region as the algorithm.
algorithmName :: Text
The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

Instances

Instances details

Eq SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods (==) :: SourceAlgorithm -> SourceAlgorithm -> Bool # (/=) :: SourceAlgorithm -> SourceAlgorithm -> Bool #
Read SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods readsPrec :: Int -> ReadS SourceAlgorithm # readList :: ReadS [SourceAlgorithm] # readPrec :: ReadPrec SourceAlgorithm # readListPrec :: ReadPrec [SourceAlgorithm] #
Show SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods showsPrec :: Int -> SourceAlgorithm -> ShowS # show :: SourceAlgorithm -> String # showList :: [SourceAlgorithm] -> ShowS #
Generic SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Associated Types type Rep SourceAlgorithm :: Type -> Type # Methods from :: SourceAlgorithm -> Rep SourceAlgorithm x # to :: Rep SourceAlgorithm x -> SourceAlgorithm #
NFData SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods rnf :: SourceAlgorithm -> () #
Hashable SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods hashWithSalt :: Int -> SourceAlgorithm -> Int # hash :: SourceAlgorithm -> Int #
ToJSON SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods toJSON :: SourceAlgorithm -> Value # toEncoding :: SourceAlgorithm -> Encoding # toJSONList :: [SourceAlgorithm] -> Value # toEncodingList :: [SourceAlgorithm] -> Encoding #
FromJSON SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm Methods parseJSON :: Value -> Parser SourceAlgorithm # parseJSONList :: Value -> Parser [SourceAlgorithm] #
type Rep SourceAlgorithm Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithm type Rep SourceAlgorithm = D1 ('MetaData "SourceAlgorithm" "Amazonka.SageMaker.Types.SourceAlgorithm" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SourceAlgorithm'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newSourceAlgorithm Source #

Arguments

:: Text	`$sel:algorithmName:SourceAlgorithm'`
-> SourceAlgorithm

Create a value of SourceAlgorithm with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelDataUrl:SourceAlgorithm', sourceAlgorithm_modelDataUrl - The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the algorithm.

$sel:algorithmName:SourceAlgorithm', sourceAlgorithm_algorithmName - The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

sourceAlgorithm_modelDataUrl :: Lens' SourceAlgorithm (Maybe Text) Source #

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the algorithm.

sourceAlgorithm_algorithmName :: Lens' SourceAlgorithm Text Source #

The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your Amazon SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

SourceAlgorithmSpecification

data SourceAlgorithmSpecification Source #

A list of algorithms that were used to create a model package.

See: newSourceAlgorithmSpecification smart constructor.

Constructors

SourceAlgorithmSpecification'
Fields sourceAlgorithms :: NonEmpty SourceAlgorithm A list of the algorithms that were used to create a model package.

Instances

Instances details

Eq SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods (==) :: SourceAlgorithmSpecification -> SourceAlgorithmSpecification -> Bool # (/=) :: SourceAlgorithmSpecification -> SourceAlgorithmSpecification -> Bool #
Read SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods readsPrec :: Int -> ReadS SourceAlgorithmSpecification # readList :: ReadS [SourceAlgorithmSpecification] # readPrec :: ReadPrec SourceAlgorithmSpecification # readListPrec :: ReadPrec [SourceAlgorithmSpecification] #
Show SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods showsPrec :: Int -> SourceAlgorithmSpecification -> ShowS # show :: SourceAlgorithmSpecification -> String # showList :: [SourceAlgorithmSpecification] -> ShowS #
Generic SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Associated Types type Rep SourceAlgorithmSpecification :: Type -> Type # Methods from :: SourceAlgorithmSpecification -> Rep SourceAlgorithmSpecification x # to :: Rep SourceAlgorithmSpecification x -> SourceAlgorithmSpecification #
NFData SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods rnf :: SourceAlgorithmSpecification -> () #
Hashable SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods hashWithSalt :: Int -> SourceAlgorithmSpecification -> Int # hash :: SourceAlgorithmSpecification -> Int #
ToJSON SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods toJSON :: SourceAlgorithmSpecification -> Value # toEncoding :: SourceAlgorithmSpecification -> Encoding # toJSONList :: [SourceAlgorithmSpecification] -> Value # toEncodingList :: [SourceAlgorithmSpecification] -> Encoding #
FromJSON SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification Methods parseJSON :: Value -> Parser SourceAlgorithmSpecification # parseJSONList :: Value -> Parser [SourceAlgorithmSpecification] #
type Rep SourceAlgorithmSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification type Rep SourceAlgorithmSpecification = D1 ('MetaData "SourceAlgorithmSpecification" "Amazonka.SageMaker.Types.SourceAlgorithmSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SourceAlgorithmSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceAlgorithms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty SourceAlgorithm))))

newSourceAlgorithmSpecification Source #

Arguments

:: NonEmpty SourceAlgorithm	`$sel:sourceAlgorithms:SourceAlgorithmSpecification'`
-> SourceAlgorithmSpecification

Create a value of SourceAlgorithmSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceAlgorithms:SourceAlgorithmSpecification', sourceAlgorithmSpecification_sourceAlgorithms - A list of the algorithms that were used to create a model package.

sourceAlgorithmSpecification_sourceAlgorithms :: Lens' SourceAlgorithmSpecification (NonEmpty SourceAlgorithm) Source #

A list of the algorithms that were used to create a model package.

SourceIpConfig

data SourceIpConfig Source #

A list of IP address ranges (CIDRs). Used to create an allow list of IP addresses for a private workforce. Workers will only be able to login to their worker portal from an IP address within this range. By default, a workforce isn't restricted to specific IP addresses.

See: newSourceIpConfig smart constructor.

Constructors

SourceIpConfig'
Fields cidrs :: [Text] A list of one to ten Classless Inter-Domain Routing (CIDR) values. Maximum: Ten CIDR values The following Length Constraints apply to individual CIDR values in the CIDR value list.

Instances

Instances details

Eq SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods (==) :: SourceIpConfig -> SourceIpConfig -> Bool # (/=) :: SourceIpConfig -> SourceIpConfig -> Bool #
Read SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods readsPrec :: Int -> ReadS SourceIpConfig # readList :: ReadS [SourceIpConfig] # readPrec :: ReadPrec SourceIpConfig # readListPrec :: ReadPrec [SourceIpConfig] #
Show SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods showsPrec :: Int -> SourceIpConfig -> ShowS # show :: SourceIpConfig -> String # showList :: [SourceIpConfig] -> ShowS #
Generic SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Associated Types type Rep SourceIpConfig :: Type -> Type # Methods from :: SourceIpConfig -> Rep SourceIpConfig x # to :: Rep SourceIpConfig x -> SourceIpConfig #
NFData SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods rnf :: SourceIpConfig -> () #
Hashable SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods hashWithSalt :: Int -> SourceIpConfig -> Int # hash :: SourceIpConfig -> Int #
ToJSON SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods toJSON :: SourceIpConfig -> Value # toEncoding :: SourceIpConfig -> Encoding # toJSONList :: [SourceIpConfig] -> Value # toEncodingList :: [SourceIpConfig] -> Encoding #
FromJSON SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig Methods parseJSON :: Value -> Parser SourceIpConfig # parseJSONList :: Value -> Parser [SourceIpConfig] #
type Rep SourceIpConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.SourceIpConfig type Rep SourceIpConfig = D1 ('MetaData "SourceIpConfig" "Amazonka.SageMaker.Types.SourceIpConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SourceIpConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "cidrs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))

newSourceIpConfig :: SourceIpConfig Source #

Create a value of SourceIpConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cidrs:SourceIpConfig', sourceIpConfig_cidrs - A list of one to ten Classless Inter-Domain Routing (CIDR) values.

Maximum: Ten CIDR values

The following Length Constraints apply to individual CIDR values in the CIDR value list.

sourceIpConfig_cidrs :: Lens' SourceIpConfig [Text] Source #

A list of one to ten Classless Inter-Domain Routing (CIDR) values.

Maximum: Ten CIDR values

The following Length Constraints apply to individual CIDR values in the CIDR value list.

StoppingCondition

data StoppingCondition Source #

Specifies a limit to how long a model training job or model compilation job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training or compilation job. Use this API to cap model training costs.

To stop a training job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

The training algorithms provided by Amazon SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel.

The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.

See: newStoppingCondition smart constructor.

Constructors

StoppingCondition'

Fields

maxWaitTimeInSeconds :: Maybe Natural
The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, Amazon SageMaker ends the job.
When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.
maxRuntimeInSeconds :: Maybe Natural
The maximum length of time, in seconds, that a training or compilation job can run.
For compilation jobs, if the job does not complete during this time, you will receive a TimeOut error. We recommend starting with 900 seconds and increase as necessary based on your model.
For all other jobs, if the job does not complete during this time, Amazon SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.

Instances

Instances details

Eq StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods (==) :: StoppingCondition -> StoppingCondition -> Bool # (/=) :: StoppingCondition -> StoppingCondition -> Bool #
Read StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods readsPrec :: Int -> ReadS StoppingCondition # readList :: ReadS [StoppingCondition] # readPrec :: ReadPrec StoppingCondition # readListPrec :: ReadPrec [StoppingCondition] #
Show StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods showsPrec :: Int -> StoppingCondition -> ShowS # show :: StoppingCondition -> String # showList :: [StoppingCondition] -> ShowS #
Generic StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Associated Types type Rep StoppingCondition :: Type -> Type # Methods from :: StoppingCondition -> Rep StoppingCondition x # to :: Rep StoppingCondition x -> StoppingCondition #
NFData StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods rnf :: StoppingCondition -> () #
Hashable StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods hashWithSalt :: Int -> StoppingCondition -> Int # hash :: StoppingCondition -> Int #
ToJSON StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods toJSON :: StoppingCondition -> Value # toEncoding :: StoppingCondition -> Encoding # toJSONList :: [StoppingCondition] -> Value # toEncodingList :: [StoppingCondition] -> Encoding #
FromJSON StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition Methods parseJSON :: Value -> Parser StoppingCondition # parseJSONList :: Value -> Parser [StoppingCondition] #
type Rep StoppingCondition Source #
Instance details Defined in Amazonka.SageMaker.Types.StoppingCondition type Rep StoppingCondition = D1 ('MetaData "StoppingCondition" "Amazonka.SageMaker.Types.StoppingCondition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "StoppingCondition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxWaitTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newStoppingCondition :: StoppingCondition Source #

Create a value of StoppingCondition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxWaitTimeInSeconds:StoppingCondition', stoppingCondition_maxWaitTimeInSeconds - The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, Amazon SageMaker ends the job.

When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.

$sel:maxRuntimeInSeconds:StoppingCondition', stoppingCondition_maxRuntimeInSeconds - The maximum length of time, in seconds, that a training or compilation job can run.

For compilation jobs, if the job does not complete during this time, you will receive a TimeOut error. We recommend starting with 900 seconds and increase as necessary based on your model.

For all other jobs, if the job does not complete during this time, Amazon SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.

stoppingCondition_maxWaitTimeInSeconds :: Lens' StoppingCondition (Maybe Natural) Source #

The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, Amazon SageMaker ends the job.

When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.

stoppingCondition_maxRuntimeInSeconds :: Lens' StoppingCondition (Maybe Natural) Source #

The maximum length of time, in seconds, that a training or compilation job can run.

For compilation jobs, if the job does not complete during this time, you will receive a TimeOut error. We recommend starting with 900 seconds and increase as necessary based on your model.

For all other jobs, if the job does not complete during this time, Amazon SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.

StudioLifecycleConfigDetails

data StudioLifecycleConfigDetails Source #

Details of the Studio Lifecycle Configuration.

See: newStudioLifecycleConfigDetails smart constructor.

Constructors

StudioLifecycleConfigDetails'

Fields

creationTime :: Maybe POSIX
The creation time of the Studio Lifecycle Configuration.
lastModifiedTime :: Maybe POSIX
This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.
studioLifecycleConfigArn :: Maybe Text
The Amazon Resource Name (ARN) of the Lifecycle Configuration.
studioLifecycleConfigAppType :: Maybe StudioLifecycleConfigAppType
The App type to which the Lifecycle Configuration is attached.
studioLifecycleConfigName :: Maybe Text
The name of the Studio Lifecycle Configuration.

Instances

Instances details

Eq StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Methods (==) :: StudioLifecycleConfigDetails -> StudioLifecycleConfigDetails -> Bool # (/=) :: StudioLifecycleConfigDetails -> StudioLifecycleConfigDetails -> Bool #
Read StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Methods readsPrec :: Int -> ReadS StudioLifecycleConfigDetails # readList :: ReadS [StudioLifecycleConfigDetails] # readPrec :: ReadPrec StudioLifecycleConfigDetails # readListPrec :: ReadPrec [StudioLifecycleConfigDetails] #
Show StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Methods showsPrec :: Int -> StudioLifecycleConfigDetails -> ShowS # show :: StudioLifecycleConfigDetails -> String # showList :: [StudioLifecycleConfigDetails] -> ShowS #
Generic StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Associated Types type Rep StudioLifecycleConfigDetails :: Type -> Type # Methods from :: StudioLifecycleConfigDetails -> Rep StudioLifecycleConfigDetails x # to :: Rep StudioLifecycleConfigDetails x -> StudioLifecycleConfigDetails #
NFData StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Methods rnf :: StudioLifecycleConfigDetails -> () #
Hashable StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Methods hashWithSalt :: Int -> StudioLifecycleConfigDetails -> Int # hash :: StudioLifecycleConfigDetails -> Int #
FromJSON StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails Methods parseJSON :: Value -> Parser StudioLifecycleConfigDetails # parseJSONList :: Value -> Parser [StudioLifecycleConfigDetails] #
type Rep StudioLifecycleConfigDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails type Rep StudioLifecycleConfigDetails = D1 ('MetaData "StudioLifecycleConfigDetails" "Amazonka.SageMaker.Types.StudioLifecycleConfigDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "StudioLifecycleConfigDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "studioLifecycleConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "studioLifecycleConfigAppType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StudioLifecycleConfigAppType)) :: S1 ('MetaSel ('Just "studioLifecycleConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newStudioLifecycleConfigDetails :: StudioLifecycleConfigDetails Source #

Create a value of StudioLifecycleConfigDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_creationTime - The creation time of the Studio Lifecycle Configuration.

$sel:lastModifiedTime:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_lastModifiedTime - This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.

$sel:studioLifecycleConfigArn:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_studioLifecycleConfigArn - The Amazon Resource Name (ARN) of the Lifecycle Configuration.

$sel:studioLifecycleConfigAppType:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_studioLifecycleConfigAppType - The App type to which the Lifecycle Configuration is attached.

$sel:studioLifecycleConfigName:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_studioLifecycleConfigName - The name of the Studio Lifecycle Configuration.

studioLifecycleConfigDetails_creationTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime) Source #

The creation time of the Studio Lifecycle Configuration.

studioLifecycleConfigDetails_lastModifiedTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime) Source #

This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.

studioLifecycleConfigDetails_studioLifecycleConfigArn :: Lens' StudioLifecycleConfigDetails (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configuration.

studioLifecycleConfigDetails_studioLifecycleConfigAppType :: Lens' StudioLifecycleConfigDetails (Maybe StudioLifecycleConfigAppType) Source #

The App type to which the Lifecycle Configuration is attached.

studioLifecycleConfigDetails_studioLifecycleConfigName :: Lens' StudioLifecycleConfigDetails (Maybe Text) Source #

The name of the Studio Lifecycle Configuration.

SubscribedWorkteam

data SubscribedWorkteam Source #

Describes a work team of a vendor that does the a labelling job.

See: newSubscribedWorkteam smart constructor.

Constructors

SubscribedWorkteam'

Fields

marketplaceTitle :: Maybe Text
The title of the service provided by the vendor in the Amazon Marketplace.
sellerName :: Maybe Text
The name of the vendor in the Amazon Marketplace.
listingId :: Maybe Text
Marketplace product listing ID.
marketplaceDescription :: Maybe Text
The description of the vendor from the Amazon Marketplace.
workteamArn :: Text
The Amazon Resource Name (ARN) of the vendor that you have subscribed.

Instances

Instances details

Eq SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Methods (==) :: SubscribedWorkteam -> SubscribedWorkteam -> Bool # (/=) :: SubscribedWorkteam -> SubscribedWorkteam -> Bool #
Read SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Methods readsPrec :: Int -> ReadS SubscribedWorkteam # readList :: ReadS [SubscribedWorkteam] # readPrec :: ReadPrec SubscribedWorkteam # readListPrec :: ReadPrec [SubscribedWorkteam] #
Show SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Methods showsPrec :: Int -> SubscribedWorkteam -> ShowS # show :: SubscribedWorkteam -> String # showList :: [SubscribedWorkteam] -> ShowS #
Generic SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Associated Types type Rep SubscribedWorkteam :: Type -> Type # Methods from :: SubscribedWorkteam -> Rep SubscribedWorkteam x # to :: Rep SubscribedWorkteam x -> SubscribedWorkteam #
NFData SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Methods rnf :: SubscribedWorkteam -> () #
Hashable SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Methods hashWithSalt :: Int -> SubscribedWorkteam -> Int # hash :: SubscribedWorkteam -> Int #
FromJSON SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam Methods parseJSON :: Value -> Parser SubscribedWorkteam # parseJSONList :: Value -> Parser [SubscribedWorkteam] #
type Rep SubscribedWorkteam Source #
Instance details Defined in Amazonka.SageMaker.Types.SubscribedWorkteam type Rep SubscribedWorkteam = D1 ('MetaData "SubscribedWorkteam" "Amazonka.SageMaker.Types.SubscribedWorkteam" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SubscribedWorkteam'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "marketplaceTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "sellerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "listingId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "marketplaceDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newSubscribedWorkteam Source #

Arguments

:: Text	`$sel:workteamArn:SubscribedWorkteam'`
-> SubscribedWorkteam

Create a value of SubscribedWorkteam with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:marketplaceTitle:SubscribedWorkteam', subscribedWorkteam_marketplaceTitle - The title of the service provided by the vendor in the Amazon Marketplace.

$sel:sellerName:SubscribedWorkteam', subscribedWorkteam_sellerName - The name of the vendor in the Amazon Marketplace.

$sel:listingId:SubscribedWorkteam', subscribedWorkteam_listingId - Marketplace product listing ID.

$sel:marketplaceDescription:SubscribedWorkteam', subscribedWorkteam_marketplaceDescription - The description of the vendor from the Amazon Marketplace.

$sel:workteamArn:SubscribedWorkteam', subscribedWorkteam_workteamArn - The Amazon Resource Name (ARN) of the vendor that you have subscribed.

subscribedWorkteam_marketplaceTitle :: Lens' SubscribedWorkteam (Maybe Text) Source #

The title of the service provided by the vendor in the Amazon Marketplace.

subscribedWorkteam_sellerName :: Lens' SubscribedWorkteam (Maybe Text) Source #

The name of the vendor in the Amazon Marketplace.

subscribedWorkteam_listingId :: Lens' SubscribedWorkteam (Maybe Text) Source #

Marketplace product listing ID.

subscribedWorkteam_marketplaceDescription :: Lens' SubscribedWorkteam (Maybe Text) Source #

The description of the vendor from the Amazon Marketplace.

subscribedWorkteam_workteamArn :: Lens' SubscribedWorkteam Text Source #

The Amazon Resource Name (ARN) of the vendor that you have subscribed.

SuggestionQuery

data SuggestionQuery Source #

Specified in the GetSearchSuggestions request. Limits the property names that are included in the response.

See: newSuggestionQuery smart constructor.

Constructors

SuggestionQuery'
Fields propertyNameQuery :: Maybe PropertyNameQuery Defines a property name hint. Only property names that begin with the specified hint are included in the response.

Instances

Instances details

Eq SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Methods (==) :: SuggestionQuery -> SuggestionQuery -> Bool # (/=) :: SuggestionQuery -> SuggestionQuery -> Bool #
Read SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Methods readsPrec :: Int -> ReadS SuggestionQuery # readList :: ReadS [SuggestionQuery] # readPrec :: ReadPrec SuggestionQuery # readListPrec :: ReadPrec [SuggestionQuery] #
Show SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Methods showsPrec :: Int -> SuggestionQuery -> ShowS # show :: SuggestionQuery -> String # showList :: [SuggestionQuery] -> ShowS #
Generic SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Associated Types type Rep SuggestionQuery :: Type -> Type # Methods from :: SuggestionQuery -> Rep SuggestionQuery x # to :: Rep SuggestionQuery x -> SuggestionQuery #
NFData SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Methods rnf :: SuggestionQuery -> () #
Hashable SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Methods hashWithSalt :: Int -> SuggestionQuery -> Int # hash :: SuggestionQuery -> Int #
ToJSON SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery Methods toJSON :: SuggestionQuery -> Value # toEncoding :: SuggestionQuery -> Encoding # toJSONList :: [SuggestionQuery] -> Value # toEncodingList :: [SuggestionQuery] -> Encoding #
type Rep SuggestionQuery Source #
Instance details Defined in Amazonka.SageMaker.Types.SuggestionQuery type Rep SuggestionQuery = D1 ('MetaData "SuggestionQuery" "Amazonka.SageMaker.Types.SuggestionQuery" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "SuggestionQuery'" 'PrefixI 'True) (S1 ('MetaSel ('Just "propertyNameQuery") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PropertyNameQuery))))

newSuggestionQuery :: SuggestionQuery Source #

Create a value of SuggestionQuery with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:propertyNameQuery:SuggestionQuery', suggestionQuery_propertyNameQuery - Defines a property name hint. Only property names that begin with the specified hint are included in the response.

suggestionQuery_propertyNameQuery :: Lens' SuggestionQuery (Maybe PropertyNameQuery) Source #

Defines a property name hint. Only property names that begin with the specified hint are included in the response.

Tag

data Tag Source #

A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.

For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.

See: newTag smart constructor.

Constructors

Tag'
Fields key :: Text The tag key. Tag keys must be unique per resource. value :: Text The tag value.

Instances

Instances details

Eq Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods (==) :: Tag -> Tag -> Bool # (/=) :: Tag -> Tag -> Bool #
Read Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods readsPrec :: Int -> ReadS Tag # readList :: ReadS [Tag] # readPrec :: ReadPrec Tag # readListPrec :: ReadPrec [Tag] #
Show Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods showsPrec :: Int -> Tag -> ShowS # show :: Tag -> String # showList :: [Tag] -> ShowS #
Generic Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Associated Types type Rep Tag :: Type -> Type # Methods from :: Tag -> Rep Tag x # to :: Rep Tag x -> Tag #
NFData Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods rnf :: Tag -> () #
Hashable Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods hashWithSalt :: Int -> Tag -> Int # hash :: Tag -> Int #
ToJSON Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods toJSON :: Tag -> Value # toEncoding :: Tag -> Encoding # toJSONList :: [Tag] -> Value # toEncodingList :: [Tag] -> Encoding #
FromJSON Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag Methods parseJSON :: Value -> Parser Tag # parseJSONList :: Value -> Parser [Tag] #
type Rep Tag Source #
Instance details Defined in Amazonka.SageMaker.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.SageMaker.Types.Tag" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTag Source #

Arguments

:: Text	`$sel:key:Tag'`
-> Text	`$sel:value:Tag'`
-> Tag

Create a value of Tag with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:key:Tag', tag_key - The tag key. Tag keys must be unique per resource.

$sel:value:Tag', tag_value - The tag value.

tag_key :: Lens' Tag Text Source #

The tag key. Tag keys must be unique per resource.

tag_value :: Lens' Tag Text Source #

The tag value.

TargetPlatform

data TargetPlatform Source #

Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

See: newTargetPlatform smart constructor.

Constructors

TargetPlatform'

Fields

accelerator :: Maybe TargetPlatformAccelerator
Specifies a target platform accelerator (optional).
- NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
- MALI: ARM Mali graphics processor
- INTEL_GRAPHICS: Integrated Intel graphics
os :: TargetPlatformOs
Specifies a target platform OS.
- LINUX: Linux-based operating systems.
- ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {'ANDROID_PLATFORM': 28}
arch :: TargetPlatformArch
Specifies a target platform architecture.
- X86_64: 64-bit version of the x86 instruction set.
- X86: 32-bit version of the x86 instruction set.
- ARM64: ARMv8 64-bit CPU.
- ARM_EABIHF: ARMv7 32-bit, Hard Float.
- ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.

Instances

Instances details

Eq TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods (==) :: TargetPlatform -> TargetPlatform -> Bool # (/=) :: TargetPlatform -> TargetPlatform -> Bool #
Read TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods readsPrec :: Int -> ReadS TargetPlatform # readList :: ReadS [TargetPlatform] # readPrec :: ReadPrec TargetPlatform # readListPrec :: ReadPrec [TargetPlatform] #
Show TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods showsPrec :: Int -> TargetPlatform -> ShowS # show :: TargetPlatform -> String # showList :: [TargetPlatform] -> ShowS #
Generic TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Associated Types type Rep TargetPlatform :: Type -> Type # Methods from :: TargetPlatform -> Rep TargetPlatform x # to :: Rep TargetPlatform x -> TargetPlatform #
NFData TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods rnf :: TargetPlatform -> () #
Hashable TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods hashWithSalt :: Int -> TargetPlatform -> Int # hash :: TargetPlatform -> Int #
ToJSON TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods toJSON :: TargetPlatform -> Value # toEncoding :: TargetPlatform -> Encoding # toJSONList :: [TargetPlatform] -> Value # toEncodingList :: [TargetPlatform] -> Encoding #
FromJSON TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform Methods parseJSON :: Value -> Parser TargetPlatform # parseJSONList :: Value -> Parser [TargetPlatform] #
type Rep TargetPlatform Source #
Instance details Defined in Amazonka.SageMaker.Types.TargetPlatform type Rep TargetPlatform = D1 ('MetaData "TargetPlatform" "Amazonka.SageMaker.Types.TargetPlatform" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TargetPlatform'" 'PrefixI 'True) (S1 ('MetaSel ('Just "accelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformAccelerator)) :: (S1 ('MetaSel ('Just "os") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TargetPlatformOs) :: S1 ('MetaSel ('Just "arch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TargetPlatformArch))))

newTargetPlatform Source #

Arguments

:: TargetPlatformOs	`$sel:os:TargetPlatform'`
-> TargetPlatformArch	`$sel:arch:TargetPlatform'`
-> TargetPlatform

Create a value of TargetPlatform with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accelerator:TargetPlatform', targetPlatform_accelerator - Specifies a target platform accelerator (optional).

NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
MALI: ARM Mali graphics processor
INTEL_GRAPHICS: Integrated Intel graphics

$sel:os:TargetPlatform', targetPlatform_os - Specifies a target platform OS.

LINUX: Linux-based operating systems.
ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {'ANDROID_PLATFORM': 28}

$sel:arch:TargetPlatform', targetPlatform_arch - Specifies a target platform architecture.

X86_64: 64-bit version of the x86 instruction set.
X86: 32-bit version of the x86 instruction set.
ARM64: ARMv8 64-bit CPU.
ARM_EABIHF: ARMv7 32-bit, Hard Float.
ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.

targetPlatform_accelerator :: Lens' TargetPlatform (Maybe TargetPlatformAccelerator) Source #

Specifies a target platform accelerator (optional).

NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
MALI: ARM Mali graphics processor
INTEL_GRAPHICS: Integrated Intel graphics

targetPlatform_os :: Lens' TargetPlatform TargetPlatformOs Source #

Specifies a target platform OS.

LINUX: Linux-based operating systems.
ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {'ANDROID_PLATFORM': 28}

targetPlatform_arch :: Lens' TargetPlatform TargetPlatformArch Source #

Specifies a target platform architecture.

X86_64: 64-bit version of the x86 instruction set.
X86: 32-bit version of the x86 instruction set.
ARM64: ARMv8 64-bit CPU.
ARM_EABIHF: ARMv7 32-bit, Hard Float.
ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.

TensorBoardAppSettings

data TensorBoardAppSettings Source #

The TensorBoard app settings.

See: newTensorBoardAppSettings smart constructor.

Constructors

TensorBoardAppSettings'
Fields defaultResourceSpec :: Maybe ResourceSpec The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.

Instances

Instances details

Eq TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods (==) :: TensorBoardAppSettings -> TensorBoardAppSettings -> Bool # (/=) :: TensorBoardAppSettings -> TensorBoardAppSettings -> Bool #
Read TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods readsPrec :: Int -> ReadS TensorBoardAppSettings # readList :: ReadS [TensorBoardAppSettings] # readPrec :: ReadPrec TensorBoardAppSettings # readListPrec :: ReadPrec [TensorBoardAppSettings] #
Show TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods showsPrec :: Int -> TensorBoardAppSettings -> ShowS # show :: TensorBoardAppSettings -> String # showList :: [TensorBoardAppSettings] -> ShowS #
Generic TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Associated Types type Rep TensorBoardAppSettings :: Type -> Type # Methods from :: TensorBoardAppSettings -> Rep TensorBoardAppSettings x # to :: Rep TensorBoardAppSettings x -> TensorBoardAppSettings #
NFData TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods rnf :: TensorBoardAppSettings -> () #
Hashable TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods hashWithSalt :: Int -> TensorBoardAppSettings -> Int # hash :: TensorBoardAppSettings -> Int #
ToJSON TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods toJSON :: TensorBoardAppSettings -> Value # toEncoding :: TensorBoardAppSettings -> Encoding # toJSONList :: [TensorBoardAppSettings] -> Value # toEncodingList :: [TensorBoardAppSettings] -> Encoding #
FromJSON TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings Methods parseJSON :: Value -> Parser TensorBoardAppSettings # parseJSONList :: Value -> Parser [TensorBoardAppSettings] #
type Rep TensorBoardAppSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings type Rep TensorBoardAppSettings = D1 ('MetaData "TensorBoardAppSettings" "Amazonka.SageMaker.Types.TensorBoardAppSettings" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TensorBoardAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec))))

newTensorBoardAppSettings :: TensorBoardAppSettings Source #

Create a value of TensorBoardAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultResourceSpec:TensorBoardAppSettings', tensorBoardAppSettings_defaultResourceSpec - The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.

tensorBoardAppSettings_defaultResourceSpec :: Lens' TensorBoardAppSettings (Maybe ResourceSpec) Source #

The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.

TensorBoardOutputConfig

data TensorBoardOutputConfig Source #

Configuration of storage locations for the Debugger TensorBoard output data.

See: newTensorBoardOutputConfig smart constructor.

Constructors

TensorBoardOutputConfig'
Fields localPath :: Maybe Text Path to local storage location for tensorBoard output. Defaults to `/opt/ml/output/tensorboard`. s3OutputPath :: Text Path to Amazon S3 storage location for TensorBoard output.

Instances

Instances details

Eq TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods (==) :: TensorBoardOutputConfig -> TensorBoardOutputConfig -> Bool # (/=) :: TensorBoardOutputConfig -> TensorBoardOutputConfig -> Bool #
Read TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods readsPrec :: Int -> ReadS TensorBoardOutputConfig # readList :: ReadS [TensorBoardOutputConfig] # readPrec :: ReadPrec TensorBoardOutputConfig # readListPrec :: ReadPrec [TensorBoardOutputConfig] #
Show TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods showsPrec :: Int -> TensorBoardOutputConfig -> ShowS # show :: TensorBoardOutputConfig -> String # showList :: [TensorBoardOutputConfig] -> ShowS #
Generic TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Associated Types type Rep TensorBoardOutputConfig :: Type -> Type # Methods from :: TensorBoardOutputConfig -> Rep TensorBoardOutputConfig x # to :: Rep TensorBoardOutputConfig x -> TensorBoardOutputConfig #
NFData TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods rnf :: TensorBoardOutputConfig -> () #
Hashable TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods hashWithSalt :: Int -> TensorBoardOutputConfig -> Int # hash :: TensorBoardOutputConfig -> Int #
ToJSON TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods toJSON :: TensorBoardOutputConfig -> Value # toEncoding :: TensorBoardOutputConfig -> Encoding # toJSONList :: [TensorBoardOutputConfig] -> Value # toEncodingList :: [TensorBoardOutputConfig] -> Encoding #
FromJSON TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig Methods parseJSON :: Value -> Parser TensorBoardOutputConfig # parseJSONList :: Value -> Parser [TensorBoardOutputConfig] #
type Rep TensorBoardOutputConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig type Rep TensorBoardOutputConfig = D1 ('MetaData "TensorBoardOutputConfig" "Amazonka.SageMaker.Types.TensorBoardOutputConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TensorBoardOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTensorBoardOutputConfig Source #

Arguments

:: Text	`$sel:s3OutputPath:TensorBoardOutputConfig'`
-> TensorBoardOutputConfig

Create a value of TensorBoardOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:localPath:TensorBoardOutputConfig', tensorBoardOutputConfig_localPath - Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.

$sel:s3OutputPath:TensorBoardOutputConfig', tensorBoardOutputConfig_s3OutputPath - Path to Amazon S3 storage location for TensorBoard output.

tensorBoardOutputConfig_localPath :: Lens' TensorBoardOutputConfig (Maybe Text) Source #

Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.

tensorBoardOutputConfig_s3OutputPath :: Lens' TensorBoardOutputConfig Text Source #

Path to Amazon S3 storage location for TensorBoard output.

TrafficRoutingConfig

data TrafficRoutingConfig Source #

Currently, the TrafficRoutingConfig API is not supported.

See: newTrafficRoutingConfig smart constructor.

Constructors

TrafficRoutingConfig'
Fields canarySize :: Maybe CapacitySize type' :: TrafficRoutingConfigType waitIntervalInSeconds :: Natural

Instances

Instances details

Eq TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods (==) :: TrafficRoutingConfig -> TrafficRoutingConfig -> Bool # (/=) :: TrafficRoutingConfig -> TrafficRoutingConfig -> Bool #
Read TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods readsPrec :: Int -> ReadS TrafficRoutingConfig # readList :: ReadS [TrafficRoutingConfig] # readPrec :: ReadPrec TrafficRoutingConfig # readListPrec :: ReadPrec [TrafficRoutingConfig] #
Show TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods showsPrec :: Int -> TrafficRoutingConfig -> ShowS # show :: TrafficRoutingConfig -> String # showList :: [TrafficRoutingConfig] -> ShowS #
Generic TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Associated Types type Rep TrafficRoutingConfig :: Type -> Type # Methods from :: TrafficRoutingConfig -> Rep TrafficRoutingConfig x # to :: Rep TrafficRoutingConfig x -> TrafficRoutingConfig #
NFData TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods rnf :: TrafficRoutingConfig -> () #
Hashable TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods hashWithSalt :: Int -> TrafficRoutingConfig -> Int # hash :: TrafficRoutingConfig -> Int #
ToJSON TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods toJSON :: TrafficRoutingConfig -> Value # toEncoding :: TrafficRoutingConfig -> Encoding # toJSONList :: [TrafficRoutingConfig] -> Value # toEncodingList :: [TrafficRoutingConfig] -> Encoding #
FromJSON TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig Methods parseJSON :: Value -> Parser TrafficRoutingConfig # parseJSONList :: Value -> Parser [TrafficRoutingConfig] #
type Rep TrafficRoutingConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig type Rep TrafficRoutingConfig = D1 ('MetaData "TrafficRoutingConfig" "Amazonka.SageMaker.Types.TrafficRoutingConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrafficRoutingConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "canarySize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CapacitySize)) :: (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrafficRoutingConfigType) :: S1 ('MetaSel ('Just "waitIntervalInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newTrafficRoutingConfig Source #

Arguments

:: TrafficRoutingConfigType	`$sel:type':TrafficRoutingConfig'`
-> Natural	`$sel:waitIntervalInSeconds:TrafficRoutingConfig'`
-> TrafficRoutingConfig

Create a value of TrafficRoutingConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:canarySize:TrafficRoutingConfig', trafficRoutingConfig_canarySize -

$sel:type':TrafficRoutingConfig', trafficRoutingConfig_type -

$sel:waitIntervalInSeconds:TrafficRoutingConfig', trafficRoutingConfig_waitIntervalInSeconds -

trafficRoutingConfig_canarySize :: Lens' TrafficRoutingConfig (Maybe CapacitySize) Source #

trafficRoutingConfig_type :: Lens' TrafficRoutingConfig TrafficRoutingConfigType Source #

trafficRoutingConfig_waitIntervalInSeconds :: Lens' TrafficRoutingConfig Natural Source #

TrainingJob

data TrainingJob Source #

Contains information about a training job.

See: newTrainingJob smart constructor.

Constructors

TrainingJob'

Fields

creationTime :: Maybe POSIX
A timestamp that indicates when the training job was created.
labelingJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the labeling job.
failureReason :: Maybe Text
If the training job failed, the reason it failed.
secondaryStatusTransitions :: Maybe [SecondaryStatusTransition]
A history of all of the secondary statuses that the training job has transitioned through.
modelArtifacts :: Maybe ModelArtifacts
Information about the Amazon S3 location that is configured for storing model artifacts.
trainingEndTime :: Maybe POSIX
Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
environment :: Maybe (HashMap Text Text)
The environment variables to set in the Docker container.
billableTimeInSeconds :: Maybe Natural
The billable time in seconds.
debugHookConfig :: Maybe DebugHookConfig
checkpointConfig :: Maybe CheckpointConfig
retryStrategy :: Maybe RetryStrategy
The number of times to retry the job when the job fails due to an InternalServerError.
stoppingCondition :: Maybe StoppingCondition
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
debugRuleEvaluationStatuses :: Maybe [DebugRuleEvaluationStatus]
Information about the evaluation status of the rules for the training job.
trainingJobStatus :: Maybe TrainingJobStatus
The status of the training job.
Training job statuses are:
- InProgress - The training is in progress.
- Completed - The training job has completed.
- Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
- Stopping - The training job is stopping.
- Stopped - The training job has stopped.
For more detailed information, see SecondaryStatus.
enableNetworkIsolation :: Maybe Bool
If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.
experimentConfig :: Maybe ExperimentConfig
lastModifiedTime :: Maybe POSIX
A timestamp that indicates when the status of the training job was last modified.
debugRuleConfigurations :: Maybe [DebugRuleConfiguration]
Information about the debug rule configuration.
enableManagedSpotTraining :: Maybe Bool
When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.
autoMLJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the job.
hyperParameters :: Maybe (HashMap Text Text)
Algorithm-specific parameters.
inputDataConfig :: Maybe (NonEmpty Channel)
An array of Channel objects that describes each data input channel.
vpcConfig :: Maybe VpcConfig
A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
trainingJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the training job.
algorithmSpecification :: Maybe AlgorithmSpecification
Information about the algorithm used for training, and algorithm metadata.
finalMetricDataList :: Maybe [MetricData]
A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.
outputDataConfig :: Maybe OutputDataConfig
The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
trainingStartTime :: Maybe POSIX
Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
tuningJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
trainingJobName :: Maybe Text
The name of the training job.
resourceConfig :: Maybe ResourceConfig
Resources, including ML compute instances and ML storage volumes, that are configured for model training.
enableInterContainerTrafficEncryption :: Maybe Bool
To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
tensorBoardOutputConfig :: Maybe TensorBoardOutputConfig
secondaryStatus :: Maybe SecondaryStatus
Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.
Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them:
InProgress
- Starting - Starting the training job.
- Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
- Training - Training is in progress.
- Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed
- Completed - The training job has completed.
Failed
- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
Stopped
- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
- Stopped - The training job has stopped.
Stopping
- Stopping - Stopping the training job.
Valid values for SecondaryStatus are subject to change.
We no longer support the following secondary statuses:
- ```
LaunchingMLInstances
```
- ```
PreparingTrainingStack
```
- ```
DownloadingTrainingImage
```
tags :: Maybe [Tag]
An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.
trainingTimeInSeconds :: Maybe Natural
The training time in seconds.
roleArn :: Maybe Text
The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

Instances

Instances details

Eq TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Methods (==) :: TrainingJob -> TrainingJob -> Bool # (/=) :: TrainingJob -> TrainingJob -> Bool #
Read TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Methods readsPrec :: Int -> ReadS TrainingJob # readList :: ReadS [TrainingJob] # readPrec :: ReadPrec TrainingJob # readListPrec :: ReadPrec [TrainingJob] #
Show TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Methods showsPrec :: Int -> TrainingJob -> ShowS # show :: TrainingJob -> String # showList :: [TrainingJob] -> ShowS #
Generic TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Associated Types type Rep TrainingJob :: Type -> Type # Methods from :: TrainingJob -> Rep TrainingJob x # to :: Rep TrainingJob x -> TrainingJob #
NFData TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Methods rnf :: TrainingJob -> () #
Hashable TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Methods hashWithSalt :: Int -> TrainingJob -> Int # hash :: TrainingJob -> Int #
FromJSON TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob Methods parseJSON :: Value -> Parser TrainingJob # parseJSONList :: Value -> Parser [TrainingJob] #
type Rep TrainingJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJob type Rep TrainingJob = D1 ('MetaData "TrainingJob" "Amazonka.SageMaker.Types.TrainingJob" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrainingJob'" 'PrefixI 'True) (((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "labelingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "secondaryStatusTransitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [SecondaryStatusTransition])))) :: ((S1 ('MetaSel ('Just "modelArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelArtifacts)) :: S1 ('MetaSel ('Just "trainingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "billableTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "debugHookConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DebugHookConfig)))))) :: (((S1 ('MetaSel ('Just "checkpointConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CheckpointConfig)) :: S1 ('MetaSel ('Just "retryStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RetryStrategy))) :: (S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StoppingCondition)) :: S1 ('MetaSel ('Just "debugRuleEvaluationStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DebugRuleEvaluationStatus])))) :: ((S1 ('MetaSel ('Just "trainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobStatus)) :: S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "experimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentConfig)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "debugRuleConfigurations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DebugRuleConfiguration]))))))) :: ((((S1 ('MetaSel ('Just "enableManagedSpotTraining") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "hyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Channel))))) :: ((S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)) :: S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "algorithmSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AlgorithmSpecification)) :: (S1 ('MetaSel ('Just "finalMetricDataList") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricData])) :: S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputDataConfig)))))) :: (((S1 ('MetaSel ('Just "trainingStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "tuningJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "trainingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "resourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceConfig)) :: S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))) :: ((S1 ('MetaSel ('Just "tensorBoardOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TensorBoardOutputConfig)) :: S1 ('MetaSel ('Just "secondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SecondaryStatus))) :: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :: (S1 ('MetaSel ('Just "trainingTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))))

newTrainingJob :: TrainingJob Source #

Create a value of TrainingJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TrainingJob', trainingJob_creationTime - A timestamp that indicates when the training job was created.

$sel:labelingJobArn:TrainingJob', trainingJob_labelingJobArn - The Amazon Resource Name (ARN) of the labeling job.

$sel:failureReason:TrainingJob', trainingJob_failureReason - If the training job failed, the reason it failed.

$sel:secondaryStatusTransitions:TrainingJob', trainingJob_secondaryStatusTransitions - A history of all of the secondary statuses that the training job has transitioned through.

$sel:modelArtifacts:TrainingJob', trainingJob_modelArtifacts - Information about the Amazon S3 location that is configured for storing model artifacts.

$sel:trainingEndTime:TrainingJob', trainingJob_trainingEndTime - Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.

$sel:environment:TrainingJob', trainingJob_environment - The environment variables to set in the Docker container.

$sel:billableTimeInSeconds:TrainingJob', trainingJob_billableTimeInSeconds - The billable time in seconds.

$sel:debugHookConfig:TrainingJob', trainingJob_debugHookConfig - Undocumented member.

$sel:checkpointConfig:TrainingJob', trainingJob_checkpointConfig - Undocumented member.

$sel:retryStrategy:TrainingJob', trainingJob_retryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.

$sel:stoppingCondition:TrainingJob', trainingJob_stoppingCondition - Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

$sel:debugRuleEvaluationStatuses:TrainingJob', trainingJob_debugRuleEvaluationStatuses - Information about the evaluation status of the rules for the training job.

$sel:trainingJobStatus:TrainingJob', trainingJob_trainingJobStatus - The status of the training job.

Training job statuses are:

InProgress - The training is in progress.
Completed - The training job has completed.
Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
Stopping - The training job is stopping.
Stopped - The training job has stopped.

For more detailed information, see SecondaryStatus.

$sel:enableNetworkIsolation:TrainingJob', trainingJob_enableNetworkIsolation - If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.

$sel:experimentConfig:TrainingJob', trainingJob_experimentConfig - Undocumented member.

$sel:lastModifiedTime:TrainingJob', trainingJob_lastModifiedTime - A timestamp that indicates when the status of the training job was last modified.

$sel:debugRuleConfigurations:TrainingJob', trainingJob_debugRuleConfigurations - Information about the debug rule configuration.

$sel:enableManagedSpotTraining:TrainingJob', trainingJob_enableManagedSpotTraining - When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.

$sel:autoMLJobArn:TrainingJob', trainingJob_autoMLJobArn - The Amazon Resource Name (ARN) of the job.

$sel:hyperParameters:TrainingJob', trainingJob_hyperParameters - Algorithm-specific parameters.

$sel:inputDataConfig:TrainingJob', trainingJob_inputDataConfig - An array of Channel objects that describes each data input channel.

$sel:vpcConfig:TrainingJob', trainingJob_vpcConfig - A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

$sel:trainingJobArn:TrainingJob', trainingJob_trainingJobArn - The Amazon Resource Name (ARN) of the training job.

$sel:algorithmSpecification:TrainingJob', trainingJob_algorithmSpecification - Information about the algorithm used for training, and algorithm metadata.

$sel:finalMetricDataList:TrainingJob', trainingJob_finalMetricDataList - A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.

$sel:outputDataConfig:TrainingJob', trainingJob_outputDataConfig - The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.

$sel:trainingStartTime:TrainingJob', trainingJob_trainingStartTime - Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.

$sel:tuningJobArn:TrainingJob', trainingJob_tuningJobArn - The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.

$sel:trainingJobName:TrainingJob', trainingJob_trainingJobName - The name of the training job.

$sel:resourceConfig:TrainingJob', trainingJob_resourceConfig - Resources, including ML compute instances and ML storage volumes, that are configured for model training.

$sel:enableInterContainerTrafficEncryption:TrainingJob', trainingJob_enableInterContainerTrafficEncryption - To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

$sel:tensorBoardOutputConfig:TrainingJob', trainingJob_tensorBoardOutputConfig - Undocumented member.

$sel:secondaryStatus:TrainingJob', trainingJob_secondaryStatus - Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them:

InProgress

- Starting - Starting the training job.

Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.

Completed

- Completed - The training job has completed.

Failed

- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

Stopped

- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

Stopped - The training job has stopped.

Stopping

- Stopping - Stopping the training job.

Valid values for SecondaryStatus are subject to change.

We no longer support the following secondary statuses:

```
LaunchingMLInstances
```
```
PreparingTrainingStack
```
```
DownloadingTrainingImage
```

$sel:tags:TrainingJob', trainingJob_tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

$sel:trainingTimeInSeconds:TrainingJob', trainingJob_trainingTimeInSeconds - The training time in seconds.

$sel:roleArn:TrainingJob', trainingJob_roleArn - The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

trainingJob_creationTime :: Lens' TrainingJob (Maybe UTCTime) Source #

A timestamp that indicates when the training job was created.

trainingJob_labelingJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the labeling job.

trainingJob_failureReason :: Lens' TrainingJob (Maybe Text) Source #

If the training job failed, the reason it failed.

trainingJob_secondaryStatusTransitions :: Lens' TrainingJob (Maybe [SecondaryStatusTransition]) Source #

A history of all of the secondary statuses that the training job has transitioned through.

trainingJob_modelArtifacts :: Lens' TrainingJob (Maybe ModelArtifacts) Source #

Information about the Amazon S3 location that is configured for storing model artifacts.

trainingJob_trainingEndTime :: Lens' TrainingJob (Maybe UTCTime) Source #

Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.

trainingJob_environment :: Lens' TrainingJob (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container.

trainingJob_billableTimeInSeconds :: Lens' TrainingJob (Maybe Natural) Source #

The billable time in seconds.

trainingJob_debugHookConfig :: Lens' TrainingJob (Maybe DebugHookConfig) Source #

Undocumented member.

trainingJob_checkpointConfig :: Lens' TrainingJob (Maybe CheckpointConfig) Source #

Undocumented member.

trainingJob_retryStrategy :: Lens' TrainingJob (Maybe RetryStrategy) Source #

The number of times to retry the job when the job fails due to an InternalServerError.

trainingJob_stoppingCondition :: Lens' TrainingJob (Maybe StoppingCondition) Source #

Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

trainingJob_debugRuleEvaluationStatuses :: Lens' TrainingJob (Maybe [DebugRuleEvaluationStatus]) Source #

Information about the evaluation status of the rules for the training job.

trainingJob_trainingJobStatus :: Lens' TrainingJob (Maybe TrainingJobStatus) Source #

The status of the training job.

Training job statuses are:

InProgress - The training is in progress.
Completed - The training job has completed.
Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
Stopping - The training job is stopping.
Stopped - The training job has stopped.

For more detailed information, see SecondaryStatus.

trainingJob_enableNetworkIsolation :: Lens' TrainingJob (Maybe Bool) Source #

If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.

trainingJob_experimentConfig :: Lens' TrainingJob (Maybe ExperimentConfig) Source #

Undocumented member.

trainingJob_lastModifiedTime :: Lens' TrainingJob (Maybe UTCTime) Source #

A timestamp that indicates when the status of the training job was last modified.

trainingJob_debugRuleConfigurations :: Lens' TrainingJob (Maybe [DebugRuleConfiguration]) Source #

Information about the debug rule configuration.

trainingJob_enableManagedSpotTraining :: Lens' TrainingJob (Maybe Bool) Source #

When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.

trainingJob_autoMLJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the job.

trainingJob_hyperParameters :: Lens' TrainingJob (Maybe (HashMap Text Text)) Source #

Algorithm-specific parameters.

trainingJob_inputDataConfig :: Lens' TrainingJob (Maybe (NonEmpty Channel)) Source #

An array of Channel objects that describes each data input channel.

trainingJob_vpcConfig :: Lens' TrainingJob (Maybe VpcConfig) Source #

A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

trainingJob_trainingJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the training job.

trainingJob_algorithmSpecification :: Lens' TrainingJob (Maybe AlgorithmSpecification) Source #

Information about the algorithm used for training, and algorithm metadata.

trainingJob_finalMetricDataList :: Lens' TrainingJob (Maybe [MetricData]) Source #

A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.

trainingJob_outputDataConfig :: Lens' TrainingJob (Maybe OutputDataConfig) Source #

The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.

trainingJob_trainingStartTime :: Lens' TrainingJob (Maybe UTCTime) Source #

Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.

trainingJob_tuningJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.

trainingJob_trainingJobName :: Lens' TrainingJob (Maybe Text) Source #

The name of the training job.

trainingJob_resourceConfig :: Lens' TrainingJob (Maybe ResourceConfig) Source #

Resources, including ML compute instances and ML storage volumes, that are configured for model training.

trainingJob_enableInterContainerTrafficEncryption :: Lens' TrainingJob (Maybe Bool) Source #

To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

trainingJob_tensorBoardOutputConfig :: Lens' TrainingJob (Maybe TensorBoardOutputConfig) Source #

Undocumented member.

trainingJob_secondaryStatus :: Lens' TrainingJob (Maybe SecondaryStatus) Source #

Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them:

InProgress

- Starting - Starting the training job.

Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
Training - Training is in progress.
Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.

Completed

- Completed - The training job has completed.

Failed

- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.

Stopped

- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.

Stopped - The training job has stopped.

Stopping

- Stopping - Stopping the training job.

Valid values for SecondaryStatus are subject to change.

We no longer support the following secondary statuses:

```
LaunchingMLInstances
```
```
PreparingTrainingStack
```
```
DownloadingTrainingImage
```

trainingJob_tags :: Lens' TrainingJob (Maybe [Tag]) Source #

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

trainingJob_trainingTimeInSeconds :: Lens' TrainingJob (Maybe Natural) Source #

The training time in seconds.

trainingJob_roleArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

TrainingJobDefinition

data TrainingJobDefinition Source #

Defines the input needed to run a training job using the algorithm.

See: newTrainingJobDefinition smart constructor.

Constructors

TrainingJobDefinition'

Fields

hyperParameters :: Maybe (HashMap Text Text)
The hyperparameters used for the training job.
trainingInputMode :: TrainingInputMode
inputDataConfig :: NonEmpty Channel
An array of Channel objects, each of which specifies an input source.
outputDataConfig :: OutputDataConfig
the path to the S3 bucket where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.
resourceConfig :: ResourceConfig
The resources, including the ML compute instances and ML storage volumes, to use for model training.
stoppingCondition :: StoppingCondition
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

Instances

Instances details

Eq TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods (==) :: TrainingJobDefinition -> TrainingJobDefinition -> Bool # (/=) :: TrainingJobDefinition -> TrainingJobDefinition -> Bool #
Read TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods readsPrec :: Int -> ReadS TrainingJobDefinition # readList :: ReadS [TrainingJobDefinition] # readPrec :: ReadPrec TrainingJobDefinition # readListPrec :: ReadPrec [TrainingJobDefinition] #
Show TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods showsPrec :: Int -> TrainingJobDefinition -> ShowS # show :: TrainingJobDefinition -> String # showList :: [TrainingJobDefinition] -> ShowS #
Generic TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Associated Types type Rep TrainingJobDefinition :: Type -> Type # Methods from :: TrainingJobDefinition -> Rep TrainingJobDefinition x # to :: Rep TrainingJobDefinition x -> TrainingJobDefinition #
NFData TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods rnf :: TrainingJobDefinition -> () #
Hashable TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods hashWithSalt :: Int -> TrainingJobDefinition -> Int # hash :: TrainingJobDefinition -> Int #
ToJSON TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods toJSON :: TrainingJobDefinition -> Value # toEncoding :: TrainingJobDefinition -> Encoding # toJSONList :: [TrainingJobDefinition] -> Value # toEncodingList :: [TrainingJobDefinition] -> Encoding #
FromJSON TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition Methods parseJSON :: Value -> Parser TrainingJobDefinition # parseJSONList :: Value -> Parser [TrainingJobDefinition] #
type Rep TrainingJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobDefinition type Rep TrainingJobDefinition = D1 ('MetaData "TrainingJobDefinition" "Amazonka.SageMaker.Types.TrainingJobDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrainingJobDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "hyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInputMode) :: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Channel)))) :: (S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputDataConfig) :: (S1 ('MetaSel ('Just "resourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ResourceConfig) :*: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StoppingCondition)))))

newTrainingJobDefinition Source #

Arguments

:: TrainingInputMode	`$sel:trainingInputMode:TrainingJobDefinition'`
-> NonEmpty Channel	`$sel:inputDataConfig:TrainingJobDefinition'`
-> OutputDataConfig	`$sel:outputDataConfig:TrainingJobDefinition'`
-> ResourceConfig	`$sel:resourceConfig:TrainingJobDefinition'`
-> StoppingCondition	`$sel:stoppingCondition:TrainingJobDefinition'`
-> TrainingJobDefinition

Create a value of TrainingJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperParameters:TrainingJobDefinition', trainingJobDefinition_hyperParameters - The hyperparameters used for the training job.

$sel:trainingInputMode:TrainingJobDefinition', trainingJobDefinition_trainingInputMode - Undocumented member.

$sel:inputDataConfig:TrainingJobDefinition', trainingJobDefinition_inputDataConfig - An array of Channel objects, each of which specifies an input source.

$sel:outputDataConfig:TrainingJobDefinition', trainingJobDefinition_outputDataConfig - the path to the S3 bucket where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.

$sel:resourceConfig:TrainingJobDefinition', trainingJobDefinition_resourceConfig - The resources, including the ML compute instances and ML storage volumes, to use for model training.

$sel:stoppingCondition:TrainingJobDefinition', trainingJobDefinition_stoppingCondition - Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

trainingJobDefinition_hyperParameters :: Lens' TrainingJobDefinition (Maybe (HashMap Text Text)) Source #

The hyperparameters used for the training job.

trainingJobDefinition_trainingInputMode :: Lens' TrainingJobDefinition TrainingInputMode Source #

Undocumented member.

trainingJobDefinition_inputDataConfig :: Lens' TrainingJobDefinition (NonEmpty Channel) Source #

An array of Channel objects, each of which specifies an input source.

trainingJobDefinition_outputDataConfig :: Lens' TrainingJobDefinition OutputDataConfig Source #

the path to the S3 bucket where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.

trainingJobDefinition_resourceConfig :: Lens' TrainingJobDefinition ResourceConfig Source #

The resources, including the ML compute instances and ML storage volumes, to use for model training.

trainingJobDefinition_stoppingCondition :: Lens' TrainingJobDefinition StoppingCondition Source #

Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

TrainingJobStatusCounters

data TrainingJobStatusCounters Source #

The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.

See: newTrainingJobStatusCounters smart constructor.

Constructors

TrainingJobStatusCounters'

Fields

stopped :: Maybe Natural
The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
retryableError :: Maybe Natural
The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
inProgress :: Maybe Natural
The number of in-progress training jobs launched by a hyperparameter tuning job.
nonRetryableError :: Maybe Natural
The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
completed :: Maybe Natural
The number of completed training jobs launched by the hyperparameter tuning job.

Instances

Instances details

Eq TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Methods (==) :: TrainingJobStatusCounters -> TrainingJobStatusCounters -> Bool # (/=) :: TrainingJobStatusCounters -> TrainingJobStatusCounters -> Bool #
Read TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Methods readsPrec :: Int -> ReadS TrainingJobStatusCounters # readList :: ReadS [TrainingJobStatusCounters] # readPrec :: ReadPrec TrainingJobStatusCounters # readListPrec :: ReadPrec [TrainingJobStatusCounters] #
Show TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Methods showsPrec :: Int -> TrainingJobStatusCounters -> ShowS # show :: TrainingJobStatusCounters -> String # showList :: [TrainingJobStatusCounters] -> ShowS #
Generic TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Associated Types type Rep TrainingJobStatusCounters :: Type -> Type # Methods from :: TrainingJobStatusCounters -> Rep TrainingJobStatusCounters x # to :: Rep TrainingJobStatusCounters x -> TrainingJobStatusCounters #
NFData TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Methods rnf :: TrainingJobStatusCounters -> () #
Hashable TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Methods hashWithSalt :: Int -> TrainingJobStatusCounters -> Int # hash :: TrainingJobStatusCounters -> Int #
FromJSON TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters Methods parseJSON :: Value -> Parser TrainingJobStatusCounters # parseJSONList :: Value -> Parser [TrainingJobStatusCounters] #
type Rep TrainingJobStatusCounters Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters type Rep TrainingJobStatusCounters = D1 ('MetaData "TrainingJobStatusCounters" "Amazonka.SageMaker.Types.TrainingJobStatusCounters" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrainingJobStatusCounters'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "stopped") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "retryableError") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "inProgress") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "nonRetryableError") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "completed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newTrainingJobStatusCounters :: TrainingJobStatusCounters Source #

Create a value of TrainingJobStatusCounters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:stopped:TrainingJobStatusCounters', trainingJobStatusCounters_stopped - The number of training jobs launched by a hyperparameter tuning job that were manually stopped.

$sel:retryableError:TrainingJobStatusCounters', trainingJobStatusCounters_retryableError - The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.

$sel:inProgress:TrainingJobStatusCounters', trainingJobStatusCounters_inProgress - The number of in-progress training jobs launched by a hyperparameter tuning job.

$sel:nonRetryableError:TrainingJobStatusCounters', trainingJobStatusCounters_nonRetryableError - The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.

$sel:completed:TrainingJobStatusCounters', trainingJobStatusCounters_completed - The number of completed training jobs launched by the hyperparameter tuning job.

trainingJobStatusCounters_stopped :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of training jobs launched by a hyperparameter tuning job that were manually stopped.

trainingJobStatusCounters_retryableError :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.

trainingJobStatusCounters_inProgress :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of in-progress training jobs launched by a hyperparameter tuning job.

trainingJobStatusCounters_nonRetryableError :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.

trainingJobStatusCounters_completed :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of completed training jobs launched by the hyperparameter tuning job.

TrainingJobStepMetadata

data TrainingJobStepMetadata Source #

Metadata for a training job step.

See: newTrainingJobStepMetadata smart constructor.

Constructors

TrainingJobStepMetadata'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the training job that was run by this step execution.

Instances

Instances details

Eq TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Methods (==) :: TrainingJobStepMetadata -> TrainingJobStepMetadata -> Bool # (/=) :: TrainingJobStepMetadata -> TrainingJobStepMetadata -> Bool #
Read TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Methods readsPrec :: Int -> ReadS TrainingJobStepMetadata # readList :: ReadS [TrainingJobStepMetadata] # readPrec :: ReadPrec TrainingJobStepMetadata # readListPrec :: ReadPrec [TrainingJobStepMetadata] #
Show TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Methods showsPrec :: Int -> TrainingJobStepMetadata -> ShowS # show :: TrainingJobStepMetadata -> String # showList :: [TrainingJobStepMetadata] -> ShowS #
Generic TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Associated Types type Rep TrainingJobStepMetadata :: Type -> Type # Methods from :: TrainingJobStepMetadata -> Rep TrainingJobStepMetadata x # to :: Rep TrainingJobStepMetadata x -> TrainingJobStepMetadata #
NFData TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Methods rnf :: TrainingJobStepMetadata -> () #
Hashable TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Methods hashWithSalt :: Int -> TrainingJobStepMetadata -> Int # hash :: TrainingJobStepMetadata -> Int #
FromJSON TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata Methods parseJSON :: Value -> Parser TrainingJobStepMetadata # parseJSONList :: Value -> Parser [TrainingJobStepMetadata] #
type Rep TrainingJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata type Rep TrainingJobStepMetadata = D1 ('MetaData "TrainingJobStepMetadata" "Amazonka.SageMaker.Types.TrainingJobStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrainingJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTrainingJobStepMetadata :: TrainingJobStepMetadata Source #

Create a value of TrainingJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:TrainingJobStepMetadata', trainingJobStepMetadata_arn - The Amazon Resource Name (ARN) of the training job that was run by this step execution.

trainingJobStepMetadata_arn :: Lens' TrainingJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

TrainingJobSummary

data TrainingJobSummary Source #

Provides summary information about a training job.

See: newTrainingJobSummary smart constructor.

Constructors

TrainingJobSummary'

Fields

trainingEndTime :: Maybe POSIX
A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).
lastModifiedTime :: Maybe POSIX
Timestamp when the training job was last modified.
trainingJobName :: Text
The name of the training job that you want a summary for.
trainingJobArn :: Text
The Amazon Resource Name (ARN) of the training job.
creationTime :: POSIX
A timestamp that shows when the training job was created.
trainingJobStatus :: TrainingJobStatus
The status of the training job.

Instances

Instances details

Eq TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Methods (==) :: TrainingJobSummary -> TrainingJobSummary -> Bool # (/=) :: TrainingJobSummary -> TrainingJobSummary -> Bool #
Read TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Methods readsPrec :: Int -> ReadS TrainingJobSummary # readList :: ReadS [TrainingJobSummary] # readPrec :: ReadPrec TrainingJobSummary # readListPrec :: ReadPrec [TrainingJobSummary] #
Show TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Methods showsPrec :: Int -> TrainingJobSummary -> ShowS # show :: TrainingJobSummary -> String # showList :: [TrainingJobSummary] -> ShowS #
Generic TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Associated Types type Rep TrainingJobSummary :: Type -> Type # Methods from :: TrainingJobSummary -> Rep TrainingJobSummary x # to :: Rep TrainingJobSummary x -> TrainingJobSummary #
NFData TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Methods rnf :: TrainingJobSummary -> () #
Hashable TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Methods hashWithSalt :: Int -> TrainingJobSummary -> Int # hash :: TrainingJobSummary -> Int #
FromJSON TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary Methods parseJSON :: Value -> Parser TrainingJobSummary # parseJSONList :: Value -> Parser [TrainingJobSummary] #
type Rep TrainingJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingJobSummary type Rep TrainingJobSummary = D1 ('MetaData "TrainingJobSummary" "Amazonka.SageMaker.Types.TrainingJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrainingJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "trainingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "trainingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :: (S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "trainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatus)))))

newTrainingJobSummary Source #

Arguments

:: Text	`$sel:trainingJobName:TrainingJobSummary'`
-> Text	`$sel:trainingJobArn:TrainingJobSummary'`
-> UTCTime	`$sel:creationTime:TrainingJobSummary'`
-> TrainingJobStatus	`$sel:trainingJobStatus:TrainingJobSummary'`
-> TrainingJobSummary

Create a value of TrainingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:trainingEndTime:TrainingJobSummary', trainingJobSummary_trainingEndTime - A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).

$sel:lastModifiedTime:TrainingJobSummary', trainingJobSummary_lastModifiedTime - Timestamp when the training job was last modified.

$sel:trainingJobName:TrainingJobSummary', trainingJobSummary_trainingJobName - The name of the training job that you want a summary for.

$sel:trainingJobArn:TrainingJobSummary', trainingJobSummary_trainingJobArn - The Amazon Resource Name (ARN) of the training job.

$sel:creationTime:TrainingJobSummary', trainingJobSummary_creationTime - A timestamp that shows when the training job was created.

$sel:trainingJobStatus:TrainingJobSummary', trainingJobSummary_trainingJobStatus - The status of the training job.

trainingJobSummary_trainingEndTime :: Lens' TrainingJobSummary (Maybe UTCTime) Source #

A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).

trainingJobSummary_lastModifiedTime :: Lens' TrainingJobSummary (Maybe UTCTime) Source #

Timestamp when the training job was last modified.

trainingJobSummary_trainingJobName :: Lens' TrainingJobSummary Text Source #

The name of the training job that you want a summary for.

trainingJobSummary_trainingJobArn :: Lens' TrainingJobSummary Text Source #

The Amazon Resource Name (ARN) of the training job.

trainingJobSummary_creationTime :: Lens' TrainingJobSummary UTCTime Source #

A timestamp that shows when the training job was created.

trainingJobSummary_trainingJobStatus :: Lens' TrainingJobSummary TrainingJobStatus Source #

The status of the training job.

TrainingSpecification

data TrainingSpecification Source #

Defines how the algorithm is used for a training job.

See: newTrainingSpecification smart constructor.

Constructors

TrainingSpecification'

Fields

trainingImageDigest :: Maybe Text
An MD5 hash of the training algorithm that identifies the Docker image used for training.
supportsDistributedTraining :: Maybe Bool
Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
supportedHyperParameters :: Maybe [HyperParameterSpecification]
A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
supportedTuningJobObjectiveMetrics :: Maybe [HyperParameterTuningJobObjective]
A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
metricDefinitions :: Maybe [MetricDefinition]
A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
trainingImage :: Text
The Amazon ECR registry path of the Docker image that contains the training algorithm.
supportedTrainingInstanceTypes :: [TrainingInstanceType]
A list of the instance types that this algorithm can use for training.
trainingChannels :: NonEmpty ChannelSpecification
A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Instances

Instances details

Eq TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods (==) :: TrainingSpecification -> TrainingSpecification -> Bool # (/=) :: TrainingSpecification -> TrainingSpecification -> Bool #
Read TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods readsPrec :: Int -> ReadS TrainingSpecification # readList :: ReadS [TrainingSpecification] # readPrec :: ReadPrec TrainingSpecification # readListPrec :: ReadPrec [TrainingSpecification] #
Show TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods showsPrec :: Int -> TrainingSpecification -> ShowS # show :: TrainingSpecification -> String # showList :: [TrainingSpecification] -> ShowS #
Generic TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Associated Types type Rep TrainingSpecification :: Type -> Type # Methods from :: TrainingSpecification -> Rep TrainingSpecification x # to :: Rep TrainingSpecification x -> TrainingSpecification #
NFData TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods rnf :: TrainingSpecification -> () #
Hashable TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods hashWithSalt :: Int -> TrainingSpecification -> Int # hash :: TrainingSpecification -> Int #
ToJSON TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods toJSON :: TrainingSpecification -> Value # toEncoding :: TrainingSpecification -> Encoding # toJSONList :: [TrainingSpecification] -> Value # toEncodingList :: [TrainingSpecification] -> Encoding #
FromJSON TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification Methods parseJSON :: Value -> Parser TrainingSpecification # parseJSONList :: Value -> Parser [TrainingSpecification] #
type Rep TrainingSpecification Source #
Instance details Defined in Amazonka.SageMaker.Types.TrainingSpecification type Rep TrainingSpecification = D1 ('MetaData "TrainingSpecification" "Amazonka.SageMaker.Types.TrainingSpecification" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrainingSpecification'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "trainingImageDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "supportsDistributedTraining") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :: (S1 ('MetaSel ('Just "supportedHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [HyperParameterSpecification])) :: S1 ('MetaSel ('Just "supportedTuningJobObjectiveMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [HyperParameterTuningJobObjective])))) :: ((S1 ('MetaSel ('Just "metricDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDefinition])) :: S1 ('MetaSel ('Just "trainingImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "supportedTrainingInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [TrainingInstanceType]) :*: S1 ('MetaSel ('Just "trainingChannels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ChannelSpecification))))))

newTrainingSpecification Source #

Arguments

:: Text	`$sel:trainingImage:TrainingSpecification'`
-> NonEmpty ChannelSpecification	`$sel:trainingChannels:TrainingSpecification'`
-> TrainingSpecification

Create a value of TrainingSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:trainingImageDigest:TrainingSpecification', trainingSpecification_trainingImageDigest - An MD5 hash of the training algorithm that identifies the Docker image used for training.

$sel:supportsDistributedTraining:TrainingSpecification', trainingSpecification_supportsDistributedTraining - Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

$sel:supportedHyperParameters:TrainingSpecification', trainingSpecification_supportedHyperParameters - A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

$sel:supportedTuningJobObjectiveMetrics:TrainingSpecification', trainingSpecification_supportedTuningJobObjectiveMetrics - A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

$sel:metricDefinitions:TrainingSpecification', trainingSpecification_metricDefinitions - A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

$sel:trainingImage:TrainingSpecification', trainingSpecification_trainingImage - The Amazon ECR registry path of the Docker image that contains the training algorithm.

$sel:supportedTrainingInstanceTypes:TrainingSpecification', trainingSpecification_supportedTrainingInstanceTypes - A list of the instance types that this algorithm can use for training.

$sel:trainingChannels:TrainingSpecification', trainingSpecification_trainingChannels - A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

trainingSpecification_trainingImageDigest :: Lens' TrainingSpecification (Maybe Text) Source #

An MD5 hash of the training algorithm that identifies the Docker image used for training.

trainingSpecification_supportsDistributedTraining :: Lens' TrainingSpecification (Maybe Bool) Source #

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

trainingSpecification_supportedHyperParameters :: Lens' TrainingSpecification (Maybe [HyperParameterSpecification]) Source #

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

trainingSpecification_supportedTuningJobObjectiveMetrics :: Lens' TrainingSpecification (Maybe [HyperParameterTuningJobObjective]) Source #

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

trainingSpecification_metricDefinitions :: Lens' TrainingSpecification (Maybe [MetricDefinition]) Source #

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

trainingSpecification_trainingImage :: Lens' TrainingSpecification Text Source #

The Amazon ECR registry path of the Docker image that contains the training algorithm.

trainingSpecification_supportedTrainingInstanceTypes :: Lens' TrainingSpecification [TrainingInstanceType] Source #

A list of the instance types that this algorithm can use for training.

trainingSpecification_trainingChannels :: Lens' TrainingSpecification (NonEmpty ChannelSpecification) Source #

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

TransformDataSource

data TransformDataSource Source #

Describes the location of the channel data.

See: newTransformDataSource smart constructor.

Constructors

TransformDataSource'
Fields s3DataSource :: TransformS3DataSource The S3 location of the data source that is associated with a channel.

Instances

Instances details

Eq TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods (==) :: TransformDataSource -> TransformDataSource -> Bool # (/=) :: TransformDataSource -> TransformDataSource -> Bool #
Read TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods readsPrec :: Int -> ReadS TransformDataSource # readList :: ReadS [TransformDataSource] # readPrec :: ReadPrec TransformDataSource # readListPrec :: ReadPrec [TransformDataSource] #
Show TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods showsPrec :: Int -> TransformDataSource -> ShowS # show :: TransformDataSource -> String # showList :: [TransformDataSource] -> ShowS #
Generic TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Associated Types type Rep TransformDataSource :: Type -> Type # Methods from :: TransformDataSource -> Rep TransformDataSource x # to :: Rep TransformDataSource x -> TransformDataSource #
NFData TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods rnf :: TransformDataSource -> () #
Hashable TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods hashWithSalt :: Int -> TransformDataSource -> Int # hash :: TransformDataSource -> Int #
ToJSON TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods toJSON :: TransformDataSource -> Value # toEncoding :: TransformDataSource -> Encoding # toJSONList :: [TransformDataSource] -> Value # toEncodingList :: [TransformDataSource] -> Encoding #
FromJSON TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource Methods parseJSON :: Value -> Parser TransformDataSource # parseJSONList :: Value -> Parser [TransformDataSource] #
type Rep TransformDataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformDataSource type Rep TransformDataSource = D1 ('MetaData "TransformDataSource" "Amazonka.SageMaker.Types.TransformDataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformS3DataSource)))

newTransformDataSource Source #

Arguments

:: TransformS3DataSource	`$sel:s3DataSource:TransformDataSource'`
-> TransformDataSource

Create a value of TransformDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:TransformDataSource', transformDataSource_s3DataSource - The S3 location of the data source that is associated with a channel.

transformDataSource_s3DataSource :: Lens' TransformDataSource TransformS3DataSource Source #

The S3 location of the data source that is associated with a channel.

TransformInput

data TransformInput Source #

Describes the input source of a transform job and the way the transform job consumes it.

See: newTransformInput smart constructor.

Constructors

TransformInput'

Fields

splitType :: Maybe SplitType
The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:
- RecordIO
- TFRecord
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.
For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.
compressionType :: Maybe CompressionType
If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.
contentType :: Maybe Text
The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
dataSource :: TransformDataSource
Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

Instances

Instances details

Eq TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods (==) :: TransformInput -> TransformInput -> Bool # (/=) :: TransformInput -> TransformInput -> Bool #
Read TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods readsPrec :: Int -> ReadS TransformInput # readList :: ReadS [TransformInput] # readPrec :: ReadPrec TransformInput # readListPrec :: ReadPrec [TransformInput] #
Show TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods showsPrec :: Int -> TransformInput -> ShowS # show :: TransformInput -> String # showList :: [TransformInput] -> ShowS #
Generic TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Associated Types type Rep TransformInput :: Type -> Type # Methods from :: TransformInput -> Rep TransformInput x # to :: Rep TransformInput x -> TransformInput #
NFData TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods rnf :: TransformInput -> () #
Hashable TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods hashWithSalt :: Int -> TransformInput -> Int # hash :: TransformInput -> Int #
ToJSON TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods toJSON :: TransformInput -> Value # toEncoding :: TransformInput -> Encoding # toJSONList :: [TransformInput] -> Value # toEncodingList :: [TransformInput] -> Encoding #
FromJSON TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput Methods parseJSON :: Value -> Parser TransformInput # parseJSONList :: Value -> Parser [TransformInput] #
type Rep TransformInput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformInput type Rep TransformInput = D1 ('MetaData "TransformInput" "Amazonka.SageMaker.Types.TransformInput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformInput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "splitType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SplitType)) :: S1 ('MetaSel ('Just "compressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CompressionType))) :: (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformDataSource))))

newTransformInput Source #

Arguments

:: TransformDataSource	`$sel:dataSource:TransformInput'`
-> TransformInput

Create a value of TransformInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:splitType:TransformInput', transformInput_splitType - The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

RecordIO
TFRecord

When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.

Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.

For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.

$sel:compressionType:TransformInput', transformInput_compressionType - If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.

$sel:contentType:TransformInput', transformInput_contentType - The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

$sel:dataSource:TransformInput', transformInput_dataSource - Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

transformInput_splitType :: Lens' TransformInput (Maybe SplitType) Source #

The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

RecordIO
TFRecord

When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.

Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.

For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.

transformInput_compressionType :: Lens' TransformInput (Maybe CompressionType) Source #

If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.

transformInput_contentType :: Lens' TransformInput (Maybe Text) Source #

The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

transformInput_dataSource :: Lens' TransformInput TransformDataSource Source #

Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

TransformJob

data TransformJob Source #

A batch transform job. For information about SageMaker batch transform, see Use Batch Transform.

See: newTransformJob smart constructor.

Constructors

TransformJob'

Fields

creationTime :: Maybe POSIX
A timestamp that shows when the transform Job was created.
labelingJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the labeling job that created the transform job.
transformJobName :: Maybe Text
The name of the transform job.
failureReason :: Maybe Text
If the transform job failed, the reason it failed.
modelClientConfig :: Maybe ModelClientConfig
batchStrategy :: Maybe BatchStrategy
Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
maxPayloadInMB :: Maybe Natural
The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.
environment :: Maybe (HashMap Text Text)
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
transformResources :: Maybe TransformResources
modelName :: Maybe Text
The name of the model associated with the transform job.
experimentConfig :: Maybe ExperimentConfig
transformEndTime :: Maybe POSIX
Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.
transformStartTime :: Maybe POSIX
Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.
autoMLJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the AutoML job that created the transform job.
transformJobStatus :: Maybe TransformJobStatus
The status of the transform job.
Transform job statuses are:
- InProgress - The job is in progress.
- Completed - The job has completed.
- Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
- Stopping - The transform job is stopping.
- Stopped - The transform job has stopped.
transformInput :: Maybe TransformInput
maxConcurrentTransforms :: Maybe Natural
The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
transformOutput :: Maybe TransformOutput
dataProcessing :: Maybe DataProcessing
transformJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the transform job.
tags :: Maybe [Tag]
A list of tags associated with the transform job.

Instances

Instances details

Eq TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Methods (==) :: TransformJob -> TransformJob -> Bool # (/=) :: TransformJob -> TransformJob -> Bool #
Read TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Methods readsPrec :: Int -> ReadS TransformJob # readList :: ReadS [TransformJob] # readPrec :: ReadPrec TransformJob # readListPrec :: ReadPrec [TransformJob] #
Show TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Methods showsPrec :: Int -> TransformJob -> ShowS # show :: TransformJob -> String # showList :: [TransformJob] -> ShowS #
Generic TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Associated Types type Rep TransformJob :: Type -> Type # Methods from :: TransformJob -> Rep TransformJob x # to :: Rep TransformJob x -> TransformJob #
NFData TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Methods rnf :: TransformJob -> () #
Hashable TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Methods hashWithSalt :: Int -> TransformJob -> Int # hash :: TransformJob -> Int #
FromJSON TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob Methods parseJSON :: Value -> Parser TransformJob # parseJSONList :: Value -> Parser [TransformJob] #
type Rep TransformJob Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJob type Rep TransformJob = D1 ('MetaData "TransformJob" "Amazonka.SageMaker.Types.TransformJob" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformJob'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "labelingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "transformJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "modelClientConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelClientConfig))))) :: ((S1 ('MetaSel ('Just "batchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchStrategy)) :: S1 ('MetaSel ('Just "maxPayloadInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "transformResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformResources)) :: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))) :: (((S1 ('MetaSel ('Just "experimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentConfig)) :: S1 ('MetaSel ('Just "transformEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "transformStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "transformJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJobStatus))))) :: ((S1 ('MetaSel ('Just "transformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformInput)) :: (S1 ('MetaSel ('Just "maxConcurrentTransforms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "transformOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformOutput)))) :: (S1 ('MetaSel ('Just "dataProcessing") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataProcessing)) :: (S1 ('MetaSel ('Just "transformJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))))))))

newTransformJob :: TransformJob Source #

Create a value of TransformJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TransformJob', transformJob_creationTime - A timestamp that shows when the transform Job was created.

$sel:labelingJobArn:TransformJob', transformJob_labelingJobArn - The Amazon Resource Name (ARN) of the labeling job that created the transform job.

$sel:transformJobName:TransformJob', transformJob_transformJobName - The name of the transform job.

$sel:failureReason:TransformJob', transformJob_failureReason - If the transform job failed, the reason it failed.

$sel:modelClientConfig:TransformJob', transformJob_modelClientConfig - Undocumented member.

$sel:batchStrategy:TransformJob', transformJob_batchStrategy - Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

$sel:maxPayloadInMB:TransformJob', transformJob_maxPayloadInMB - The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

$sel:environment:TransformJob', transformJob_environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

$sel:transformResources:TransformJob', transformJob_transformResources - Undocumented member.

$sel:modelName:TransformJob', transformJob_modelName - The name of the model associated with the transform job.

$sel:experimentConfig:TransformJob', transformJob_experimentConfig - Undocumented member.

$sel:transformEndTime:TransformJob', transformJob_transformEndTime - Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

$sel:transformStartTime:TransformJob', transformJob_transformStartTime - Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

$sel:autoMLJobArn:TransformJob', transformJob_autoMLJobArn - The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

$sel:transformJobStatus:TransformJob', transformJob_transformJobStatus - The status of the transform job.

Transform job statuses are:

InProgress - The job is in progress.
Completed - The job has completed.
Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
Stopping - The transform job is stopping.
Stopped - The transform job has stopped.

$sel:transformInput:TransformJob', transformJob_transformInput - Undocumented member.

$sel:maxConcurrentTransforms:TransformJob', transformJob_maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

$sel:transformOutput:TransformJob', transformJob_transformOutput - Undocumented member.

$sel:dataProcessing:TransformJob', transformJob_dataProcessing - Undocumented member.

$sel:transformJobArn:TransformJob', transformJob_transformJobArn - The Amazon Resource Name (ARN) of the transform job.

$sel:tags:TransformJob', transformJob_tags - A list of tags associated with the transform job.

transformJob_creationTime :: Lens' TransformJob (Maybe UTCTime) Source #

A timestamp that shows when the transform Job was created.

transformJob_labelingJobArn :: Lens' TransformJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the labeling job that created the transform job.

transformJob_transformJobName :: Lens' TransformJob (Maybe Text) Source #

The name of the transform job.

transformJob_failureReason :: Lens' TransformJob (Maybe Text) Source #

If the transform job failed, the reason it failed.

transformJob_modelClientConfig :: Lens' TransformJob (Maybe ModelClientConfig) Source #

Undocumented member.

transformJob_batchStrategy :: Lens' TransformJob (Maybe BatchStrategy) Source #

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

transformJob_maxPayloadInMB :: Lens' TransformJob (Maybe Natural) Source #

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

transformJob_environment :: Lens' TransformJob (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

transformJob_transformResources :: Lens' TransformJob (Maybe TransformResources) Source #

Undocumented member.

transformJob_modelName :: Lens' TransformJob (Maybe Text) Source #

The name of the model associated with the transform job.

transformJob_experimentConfig :: Lens' TransformJob (Maybe ExperimentConfig) Source #

Undocumented member.

transformJob_transformEndTime :: Lens' TransformJob (Maybe UTCTime) Source #

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

transformJob_transformStartTime :: Lens' TransformJob (Maybe UTCTime) Source #

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

transformJob_autoMLJobArn :: Lens' TransformJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

transformJob_transformJobStatus :: Lens' TransformJob (Maybe TransformJobStatus) Source #

The status of the transform job.

Transform job statuses are:

InProgress - The job is in progress.
Completed - The job has completed.
Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
Stopping - The transform job is stopping.
Stopped - The transform job has stopped.

transformJob_transformInput :: Lens' TransformJob (Maybe TransformInput) Source #

Undocumented member.

transformJob_maxConcurrentTransforms :: Lens' TransformJob (Maybe Natural) Source #

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

transformJob_transformOutput :: Lens' TransformJob (Maybe TransformOutput) Source #

Undocumented member.

transformJob_dataProcessing :: Lens' TransformJob (Maybe DataProcessing) Source #

Undocumented member.

transformJob_transformJobArn :: Lens' TransformJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the transform job.

transformJob_tags :: Lens' TransformJob (Maybe [Tag]) Source #

A list of tags associated with the transform job.

TransformJobDefinition

data TransformJobDefinition Source #

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

See: newTransformJobDefinition smart constructor.

Constructors

TransformJobDefinition'

Fields

batchStrategy :: Maybe BatchStrategy
A string that determines the number of records included in a single mini-batch.
SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.
maxPayloadInMB :: Maybe Natural
The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
environment :: Maybe (HashMap Text Text)
The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
maxConcurrentTransforms :: Maybe Natural
The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
transformInput :: TransformInput
A description of the input source and the way the transform job consumes it.
transformOutput :: TransformOutput
Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
transformResources :: TransformResources
Identifies the ML compute instances for the transform job.

Instances

Instances details

Eq TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods (==) :: TransformJobDefinition -> TransformJobDefinition -> Bool # (/=) :: TransformJobDefinition -> TransformJobDefinition -> Bool #
Read TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods readsPrec :: Int -> ReadS TransformJobDefinition # readList :: ReadS [TransformJobDefinition] # readPrec :: ReadPrec TransformJobDefinition # readListPrec :: ReadPrec [TransformJobDefinition] #
Show TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods showsPrec :: Int -> TransformJobDefinition -> ShowS # show :: TransformJobDefinition -> String # showList :: [TransformJobDefinition] -> ShowS #
Generic TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Associated Types type Rep TransformJobDefinition :: Type -> Type # Methods from :: TransformJobDefinition -> Rep TransformJobDefinition x # to :: Rep TransformJobDefinition x -> TransformJobDefinition #
NFData TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods rnf :: TransformJobDefinition -> () #
Hashable TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods hashWithSalt :: Int -> TransformJobDefinition -> Int # hash :: TransformJobDefinition -> Int #
ToJSON TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods toJSON :: TransformJobDefinition -> Value # toEncoding :: TransformJobDefinition -> Encoding # toJSONList :: [TransformJobDefinition] -> Value # toEncodingList :: [TransformJobDefinition] -> Encoding #
FromJSON TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition Methods parseJSON :: Value -> Parser TransformJobDefinition # parseJSONList :: Value -> Parser [TransformJobDefinition] #
type Rep TransformJobDefinition Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobDefinition type Rep TransformJobDefinition = D1 ('MetaData "TransformJobDefinition" "Amazonka.SageMaker.Types.TransformJobDefinition" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformJobDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "batchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchStrategy)) :: (S1 ('MetaSel ('Just "maxPayloadInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :: ((S1 ('MetaSel ('Just "maxConcurrentTransforms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "transformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformInput)) :: (S1 ('MetaSel ('Just "transformOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformOutput) :: S1 ('MetaSel ('Just "transformResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformResources)))))

newTransformJobDefinition Source #

Arguments

:: TransformInput	`$sel:transformInput:TransformJobDefinition'`
-> TransformOutput	`$sel:transformOutput:TransformJobDefinition'`
-> TransformResources	`$sel:transformResources:TransformJobDefinition'`
-> TransformJobDefinition

Create a value of TransformJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchStrategy:TransformJobDefinition', transformJobDefinition_batchStrategy - A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

$sel:maxPayloadInMB:TransformJobDefinition', transformJobDefinition_maxPayloadInMB - The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

$sel:environment:TransformJobDefinition', transformJobDefinition_environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

$sel:maxConcurrentTransforms:TransformJobDefinition', transformJobDefinition_maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

$sel:transformInput:TransformJobDefinition', transformJobDefinition_transformInput - A description of the input source and the way the transform job consumes it.

$sel:transformOutput:TransformJobDefinition', transformJobDefinition_transformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

$sel:transformResources:TransformJobDefinition', transformJobDefinition_transformResources - Identifies the ML compute instances for the transform job.

transformJobDefinition_batchStrategy :: Lens' TransformJobDefinition (Maybe BatchStrategy) Source #

A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

transformJobDefinition_maxPayloadInMB :: Lens' TransformJobDefinition (Maybe Natural) Source #

The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

transformJobDefinition_environment :: Lens' TransformJobDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

transformJobDefinition_maxConcurrentTransforms :: Lens' TransformJobDefinition (Maybe Natural) Source #

The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

transformJobDefinition_transformInput :: Lens' TransformJobDefinition TransformInput Source #

A description of the input source and the way the transform job consumes it.

transformJobDefinition_transformOutput :: Lens' TransformJobDefinition TransformOutput Source #

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

transformJobDefinition_transformResources :: Lens' TransformJobDefinition TransformResources Source #

Identifies the ML compute instances for the transform job.

TransformJobStepMetadata

data TransformJobStepMetadata Source #

Metadata for a transform job step.

See: newTransformJobStepMetadata smart constructor.

Constructors

TransformJobStepMetadata'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

Instances

Instances details

Eq TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Methods (==) :: TransformJobStepMetadata -> TransformJobStepMetadata -> Bool # (/=) :: TransformJobStepMetadata -> TransformJobStepMetadata -> Bool #
Read TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Methods readsPrec :: Int -> ReadS TransformJobStepMetadata # readList :: ReadS [TransformJobStepMetadata] # readPrec :: ReadPrec TransformJobStepMetadata # readListPrec :: ReadPrec [TransformJobStepMetadata] #
Show TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Methods showsPrec :: Int -> TransformJobStepMetadata -> ShowS # show :: TransformJobStepMetadata -> String # showList :: [TransformJobStepMetadata] -> ShowS #
Generic TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Associated Types type Rep TransformJobStepMetadata :: Type -> Type # Methods from :: TransformJobStepMetadata -> Rep TransformJobStepMetadata x # to :: Rep TransformJobStepMetadata x -> TransformJobStepMetadata #
NFData TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Methods rnf :: TransformJobStepMetadata -> () #
Hashable TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Methods hashWithSalt :: Int -> TransformJobStepMetadata -> Int # hash :: TransformJobStepMetadata -> Int #
FromJSON TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata Methods parseJSON :: Value -> Parser TransformJobStepMetadata # parseJSONList :: Value -> Parser [TransformJobStepMetadata] #
type Rep TransformJobStepMetadata Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata type Rep TransformJobStepMetadata = D1 ('MetaData "TransformJobStepMetadata" "Amazonka.SageMaker.Types.TransformJobStepMetadata" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTransformJobStepMetadata :: TransformJobStepMetadata Source #

Create a value of TransformJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:TransformJobStepMetadata', transformJobStepMetadata_arn - The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

transformJobStepMetadata_arn :: Lens' TransformJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

TransformJobSummary

data TransformJobSummary Source #

Provides a summary of a transform job. Multiple TransformJobSummary objects are returned as a list after in response to a ListTransformJobs call.

See: newTransformJobSummary smart constructor.

Constructors

TransformJobSummary'

Fields

failureReason :: Maybe Text
If the transform job failed, the reason it failed.
lastModifiedTime :: Maybe POSIX
Indicates when the transform job was last modified.
transformEndTime :: Maybe POSIX
Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
transformJobName :: Text
The name of the transform job.
transformJobArn :: Text
The Amazon Resource Name (ARN) of the transform job.
creationTime :: POSIX
A timestamp that shows when the transform Job was created.
transformJobStatus :: TransformJobStatus
The status of the transform job.

Instances

Instances details

Eq TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Methods (==) :: TransformJobSummary -> TransformJobSummary -> Bool # (/=) :: TransformJobSummary -> TransformJobSummary -> Bool #
Read TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Methods readsPrec :: Int -> ReadS TransformJobSummary # readList :: ReadS [TransformJobSummary] # readPrec :: ReadPrec TransformJobSummary # readListPrec :: ReadPrec [TransformJobSummary] #
Show TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Methods showsPrec :: Int -> TransformJobSummary -> ShowS # show :: TransformJobSummary -> String # showList :: [TransformJobSummary] -> ShowS #
Generic TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Associated Types type Rep TransformJobSummary :: Type -> Type # Methods from :: TransformJobSummary -> Rep TransformJobSummary x # to :: Rep TransformJobSummary x -> TransformJobSummary #
NFData TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Methods rnf :: TransformJobSummary -> () #
Hashable TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Methods hashWithSalt :: Int -> TransformJobSummary -> Int # hash :: TransformJobSummary -> Int #
FromJSON TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary Methods parseJSON :: Value -> Parser TransformJobSummary # parseJSONList :: Value -> Parser [TransformJobSummary] #
type Rep TransformJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformJobSummary type Rep TransformJobSummary = D1 ('MetaData "TransformJobSummary" "Amazonka.SageMaker.Types.TransformJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "transformEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "transformJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "transformJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "transformJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformJobStatus)))))

newTransformJobSummary Source #

Arguments

:: Text	`$sel:transformJobName:TransformJobSummary'`
-> Text	`$sel:transformJobArn:TransformJobSummary'`
-> UTCTime	`$sel:creationTime:TransformJobSummary'`
-> TransformJobStatus	`$sel:transformJobStatus:TransformJobSummary'`
-> TransformJobSummary

Create a value of TransformJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:TransformJobSummary', transformJobSummary_failureReason - If the transform job failed, the reason it failed.

$sel:lastModifiedTime:TransformJobSummary', transformJobSummary_lastModifiedTime - Indicates when the transform job was last modified.

$sel:transformEndTime:TransformJobSummary', transformJobSummary_transformEndTime - Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.

$sel:transformJobName:TransformJobSummary', transformJobSummary_transformJobName - The name of the transform job.

$sel:transformJobArn:TransformJobSummary', transformJobSummary_transformJobArn - The Amazon Resource Name (ARN) of the transform job.

$sel:creationTime:TransformJobSummary', transformJobSummary_creationTime - A timestamp that shows when the transform Job was created.

$sel:transformJobStatus:TransformJobSummary', transformJobSummary_transformJobStatus - The status of the transform job.

transformJobSummary_failureReason :: Lens' TransformJobSummary (Maybe Text) Source #

If the transform job failed, the reason it failed.

transformJobSummary_lastModifiedTime :: Lens' TransformJobSummary (Maybe UTCTime) Source #

Indicates when the transform job was last modified.

transformJobSummary_transformEndTime :: Lens' TransformJobSummary (Maybe UTCTime) Source #

Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.

transformJobSummary_transformJobName :: Lens' TransformJobSummary Text Source #

The name of the transform job.

transformJobSummary_transformJobArn :: Lens' TransformJobSummary Text Source #

The Amazon Resource Name (ARN) of the transform job.

transformJobSummary_creationTime :: Lens' TransformJobSummary UTCTime Source #

A timestamp that shows when the transform Job was created.

transformJobSummary_transformJobStatus :: Lens' TransformJobSummary TransformJobStatus Source #

The status of the transform job.

TransformOutput

data TransformOutput Source #

Describes the results of a transform job.

See: newTransformOutput smart constructor.

Constructors

TransformOutput'

Fields

assembleWith :: Maybe AssemblyType
Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.
accept :: Maybe Text
The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
kmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:
- Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name: alias/ExampleAlias
- Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.
s3OutputPath :: Text
The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.
For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.

Instances

Instances details

Eq TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods (==) :: TransformOutput -> TransformOutput -> Bool # (/=) :: TransformOutput -> TransformOutput -> Bool #
Read TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods readsPrec :: Int -> ReadS TransformOutput # readList :: ReadS [TransformOutput] # readPrec :: ReadPrec TransformOutput # readListPrec :: ReadPrec [TransformOutput] #
Show TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods showsPrec :: Int -> TransformOutput -> ShowS # show :: TransformOutput -> String # showList :: [TransformOutput] -> ShowS #
Generic TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Associated Types type Rep TransformOutput :: Type -> Type # Methods from :: TransformOutput -> Rep TransformOutput x # to :: Rep TransformOutput x -> TransformOutput #
NFData TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods rnf :: TransformOutput -> () #
Hashable TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods hashWithSalt :: Int -> TransformOutput -> Int # hash :: TransformOutput -> Int #
ToJSON TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods toJSON :: TransformOutput -> Value # toEncoding :: TransformOutput -> Encoding # toJSONList :: [TransformOutput] -> Value # toEncodingList :: [TransformOutput] -> Encoding #
FromJSON TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput Methods parseJSON :: Value -> Parser TransformOutput # parseJSONList :: Value -> Parser [TransformOutput] #
type Rep TransformOutput Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformOutput type Rep TransformOutput = D1 ('MetaData "TransformOutput" "Amazonka.SageMaker.Types.TransformOutput" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformOutput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "assembleWith") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AssemblyType)) :: S1 ('MetaSel ('Just "accept") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newTransformOutput Source #

Arguments

:: Text	`$sel:s3OutputPath:TransformOutput'`
-> TransformOutput

Create a value of TransformOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:assembleWith:TransformOutput', transformOutput_assembleWith - Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.

$sel:accept:TransformOutput', transformOutput_accept - The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.

$sel:kmsKeyId:TransformOutput', transformOutput_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

$sel:s3OutputPath:TransformOutput', transformOutput_s3OutputPath - The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.

For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.

transformOutput_assembleWith :: Lens' TransformOutput (Maybe AssemblyType) Source #

Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.

transformOutput_accept :: Lens' TransformOutput (Maybe Text) Source #

The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.

transformOutput_kmsKeyId :: Lens' TransformOutput (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

transformOutput_s3OutputPath :: Lens' TransformOutput Text Source #

The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.

For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.

TransformResources

data TransformResources Source #

Describes the resources, including ML instance types and ML instance count, to use for transform job.

See: newTransformResources smart constructor.

Constructors

TransformResources'

Fields

volumeKmsKeyId :: Maybe Text
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
The VolumeKmsKeyId can be any of the following formats:
- Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
- Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
- Alias name: alias/ExampleAlias
- Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
instanceType :: TransformInstanceType
The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.
instanceCount :: Natural
The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1.

Instances

Instances details

Eq TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods (==) :: TransformResources -> TransformResources -> Bool # (/=) :: TransformResources -> TransformResources -> Bool #
Read TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods readsPrec :: Int -> ReadS TransformResources # readList :: ReadS [TransformResources] # readPrec :: ReadPrec TransformResources # readListPrec :: ReadPrec [TransformResources] #
Show TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods showsPrec :: Int -> TransformResources -> ShowS # show :: TransformResources -> String # showList :: [TransformResources] -> ShowS #
Generic TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Associated Types type Rep TransformResources :: Type -> Type # Methods from :: TransformResources -> Rep TransformResources x # to :: Rep TransformResources x -> TransformResources #
NFData TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods rnf :: TransformResources -> () #
Hashable TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods hashWithSalt :: Int -> TransformResources -> Int # hash :: TransformResources -> Int #
ToJSON TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods toJSON :: TransformResources -> Value # toEncoding :: TransformResources -> Encoding # toJSONList :: [TransformResources] -> Value # toEncodingList :: [TransformResources] -> Encoding #
FromJSON TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources Methods parseJSON :: Value -> Parser TransformResources # parseJSONList :: Value -> Parser [TransformResources] #
type Rep TransformResources Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformResources type Rep TransformResources = D1 ('MetaData "TransformResources" "Amazonka.SageMaker.Types.TransformResources" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformResources'" 'PrefixI 'True) (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformInstanceType) :: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newTransformResources Source #

Arguments

:: TransformInstanceType	`$sel:instanceType:TransformResources'`
-> Natural	`$sel:instanceCount:TransformResources'`
-> TransformResources

Create a value of TransformResources with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:TransformResources', transformResources_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be any of the following formats:

Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

$sel:instanceType:TransformResources', transformResources_instanceType - The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.

$sel:instanceCount:TransformResources', transformResources_instanceCount - The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1.

transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be any of the following formats:

Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
Alias name: alias/ExampleAlias
Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

transformResources_instanceType :: Lens' TransformResources TransformInstanceType Source #

The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.

transformResources_instanceCount :: Lens' TransformResources Natural Source #

The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1.

TransformS3DataSource

data TransformS3DataSource Source #

Describes the S3 data source.

See: newTransformS3DataSource smart constructor.

Constructors

TransformS3DataSource'

Fields

s3DataType :: S3DataType
If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.
If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.
The following values are compatible: ManifestFile, S3Prefix
The following value is not compatible: AugmentedManifestFile
s3Uri :: Text
Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:
- A key name prefix might look like this: s3://bucketname/exampleprefix.
- A manifest might look like this: s3://bucketname/example.manifest
  The manifest is an S3 object which is a JSON file with the following format:
```
[ {"prefix": "s3://customer_bucket/some/prefix/"},
```
```
"relative/path/to/custdata-1",
```
```
"relative/path/custdata-2",
```
```
...
```
```
"relative/path/custdata-N"
```
```
]
```
  The preceding JSON matches the following S3Uris:
```
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-2
```
```
...
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-N
```
  The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

Instances

Instances details

Eq TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods (==) :: TransformS3DataSource -> TransformS3DataSource -> Bool # (/=) :: TransformS3DataSource -> TransformS3DataSource -> Bool #
Read TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods readsPrec :: Int -> ReadS TransformS3DataSource # readList :: ReadS [TransformS3DataSource] # readPrec :: ReadPrec TransformS3DataSource # readListPrec :: ReadPrec [TransformS3DataSource] #
Show TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods showsPrec :: Int -> TransformS3DataSource -> ShowS # show :: TransformS3DataSource -> String # showList :: [TransformS3DataSource] -> ShowS #
Generic TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Associated Types type Rep TransformS3DataSource :: Type -> Type # Methods from :: TransformS3DataSource -> Rep TransformS3DataSource x # to :: Rep TransformS3DataSource x -> TransformS3DataSource #
NFData TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods rnf :: TransformS3DataSource -> () #
Hashable TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods hashWithSalt :: Int -> TransformS3DataSource -> Int # hash :: TransformS3DataSource -> Int #
ToJSON TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods toJSON :: TransformS3DataSource -> Value # toEncoding :: TransformS3DataSource -> Encoding # toJSONList :: [TransformS3DataSource] -> Value # toEncodingList :: [TransformS3DataSource] -> Encoding #
FromJSON TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource Methods parseJSON :: Value -> Parser TransformS3DataSource # parseJSONList :: Value -> Parser [TransformS3DataSource] #
type Rep TransformS3DataSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TransformS3DataSource type Rep TransformS3DataSource = D1 ('MetaData "TransformS3DataSource" "Amazonka.SageMaker.Types.TransformS3DataSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TransformS3DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataType) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTransformS3DataSource Source #

Arguments

:: S3DataType	`$sel:s3DataType:TransformS3DataSource'`
-> Text	`$sel:s3Uri:TransformS3DataSource'`
-> TransformS3DataSource

Create a value of TransformS3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataType:TransformS3DataSource', transformS3DataSource_s3DataType - If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.

The following values are compatible: ManifestFile, S3Prefix

The following value is not compatible: AugmentedManifestFile

$sel:s3Uri:TransformS3DataSource', transformS3DataSource_s3Uri - Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

A key name prefix might look like this: s3://bucketname/exampleprefix.
A manifest might look like this: s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
```
[ {"prefix": "s3://customer_bucket/some/prefix/"},
```
```
"relative/path/to/custdata-1",
```
```
"relative/path/custdata-2",
```
```
...
```
```
"relative/path/custdata-N"
```
```
]
```
The preceding JSON matches the following S3Uris:
```
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-2
```
```
...
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-N
```
The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

transformS3DataSource_s3DataType :: Lens' TransformS3DataSource S3DataType Source #

If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.

The following values are compatible: ManifestFile, S3Prefix

The following value is not compatible: AugmentedManifestFile

transformS3DataSource_s3Uri :: Lens' TransformS3DataSource Text Source #

Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

A key name prefix might look like this: s3://bucketname/exampleprefix.
A manifest might look like this: s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
```
[ {"prefix": "s3://customer_bucket/some/prefix/"},
```
```
"relative/path/to/custdata-1",
```
```
"relative/path/custdata-2",
```
```
...
```
```
"relative/path/custdata-N"
```
```
]
```
The preceding JSON matches the following S3Uris:
```
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-2
```
```
...
```
```
s3://customer_bucket/some/prefix/relative/path/custdata-N
```
The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

Trial

data Trial Source #

The properties of a trial as returned by the Search API.

See: newTrial smart constructor.

Constructors

Trial'

Fields

creationTime :: Maybe POSIX
When the trial was created.
metadataProperties :: Maybe MetadataProperties
trialComponentSummaries :: Maybe [TrialComponentSimpleSummary]
A list of the components associated with the trial. For each component, a summary of the component's properties is included.
trialArn :: Maybe Text
The Amazon Resource Name (ARN) of the trial.
createdBy :: Maybe UserContext
Who created the trial.
lastModifiedTime :: Maybe POSIX
Who last modified the trial.
experimentName :: Maybe Text
The name of the experiment the trial is part of.
source :: Maybe TrialSource
displayName :: Maybe Text
The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.
trialName :: Maybe Text
The name of the trial.
lastModifiedBy :: Maybe UserContext
tags :: Maybe [Tag]
The list of tags that are associated with the trial. You can use Search API to search on the tags.

Instances

Instances details

Eq Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Methods (==) :: Trial -> Trial -> Bool # (/=) :: Trial -> Trial -> Bool #
Read Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Methods readsPrec :: Int -> ReadS Trial # readList :: ReadS [Trial] # readPrec :: ReadPrec Trial # readListPrec :: ReadPrec [Trial] #
Show Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Methods showsPrec :: Int -> Trial -> ShowS # show :: Trial -> String # showList :: [Trial] -> ShowS #
Generic Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Associated Types type Rep Trial :: Type -> Type # Methods from :: Trial -> Rep Trial x # to :: Rep Trial x -> Trial #
NFData Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Methods rnf :: Trial -> () #
Hashable Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Methods hashWithSalt :: Int -> Trial -> Int # hash :: Trial -> Int #
FromJSON Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial Methods parseJSON :: Value -> Parser Trial # parseJSONList :: Value -> Parser [Trial] #
type Rep Trial Source #
Instance details Defined in Amazonka.SageMaker.Types.Trial type Rep Trial = D1 ('MetaData "Trial" "Amazonka.SageMaker.Types.Trial" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Trial'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "metadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetadataProperties)) :: S1 ('MetaSel ('Just "trialComponentSummaries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TrialComponentSimpleSummary])))) :: (S1 ('MetaSel ('Just "trialArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialSource)) :: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newTrial :: Trial Source #

Create a value of Trial with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:Trial', trial_creationTime - When the trial was created.

$sel:metadataProperties:Trial', trial_metadataProperties - Undocumented member.

$sel:trialComponentSummaries:Trial', trial_trialComponentSummaries - A list of the components associated with the trial. For each component, a summary of the component's properties is included.

$sel:trialArn:Trial', trial_trialArn - The Amazon Resource Name (ARN) of the trial.

$sel:createdBy:Trial', trial_createdBy - Who created the trial.

$sel:lastModifiedTime:Trial', trial_lastModifiedTime - Who last modified the trial.

$sel:experimentName:Trial', trial_experimentName - The name of the experiment the trial is part of.

$sel:source:Trial', trial_source - Undocumented member.

$sel:displayName:Trial', trial_displayName - The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

$sel:trialName:Trial', trial_trialName - The name of the trial.

$sel:lastModifiedBy:Trial', trial_lastModifiedBy - Undocumented member.

$sel:tags:Trial', trial_tags - The list of tags that are associated with the trial. You can use Search API to search on the tags.

trial_creationTime :: Lens' Trial (Maybe UTCTime) Source #

When the trial was created.

trial_metadataProperties :: Lens' Trial (Maybe MetadataProperties) Source #

Undocumented member.

trial_trialComponentSummaries :: Lens' Trial (Maybe [TrialComponentSimpleSummary]) Source #

A list of the components associated with the trial. For each component, a summary of the component's properties is included.

trial_trialArn :: Lens' Trial (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial.

trial_createdBy :: Lens' Trial (Maybe UserContext) Source #

Who created the trial.

trial_lastModifiedTime :: Lens' Trial (Maybe UTCTime) Source #

Who last modified the trial.

trial_experimentName :: Lens' Trial (Maybe Text) Source #

The name of the experiment the trial is part of.

trial_source :: Lens' Trial (Maybe TrialSource) Source #

Undocumented member.

trial_displayName :: Lens' Trial (Maybe Text) Source #

The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

trial_trialName :: Lens' Trial (Maybe Text) Source #

The name of the trial.

trial_lastModifiedBy :: Lens' Trial (Maybe UserContext) Source #

Undocumented member.

trial_tags :: Lens' Trial (Maybe [Tag]) Source #

The list of tags that are associated with the trial. You can use Search API to search on the tags.

TrialComponent

data TrialComponent Source #

The properties of a trial component as returned by the Search API.

See: newTrialComponent smart constructor.

Constructors

TrialComponent'

Fields

creationTime :: Maybe POSIX
When the component was created.
metadataProperties :: Maybe MetadataProperties
status :: Maybe TrialComponentStatus
sourceDetail :: Maybe TrialComponentSourceDetail
Details of the source of the component.
metrics :: Maybe [TrialComponentMetricSummary]
The metrics for the component.
outputArtifacts :: Maybe (HashMap Text TrialComponentArtifact)
The output artifacts of the component.
startTime :: Maybe POSIX
When the component started.
createdBy :: Maybe UserContext
Who created the trial component.
lastModifiedTime :: Maybe POSIX
When the component was last modified.
parents :: Maybe [Parent]
An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.
endTime :: Maybe POSIX
When the component ended.
trialComponentName :: Maybe Text
The name of the trial component.
parameters :: Maybe (HashMap Text TrialComponentParameterValue)
The hyperparameters of the component.
source :: Maybe TrialComponentSource
The Amazon Resource Name (ARN) and job type of the source of the component.
displayName :: Maybe Text
The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.
lastModifiedBy :: Maybe UserContext
trialComponentArn :: Maybe Text
The Amazon Resource Name (ARN) of the trial component.
inputArtifacts :: Maybe (HashMap Text TrialComponentArtifact)
The input artifacts of the component.
tags :: Maybe [Tag]
The list of tags that are associated with the component. You can use Search API to search on the tags.

Instances

Instances details

Eq TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Methods (==) :: TrialComponent -> TrialComponent -> Bool # (/=) :: TrialComponent -> TrialComponent -> Bool #
Read TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Methods readsPrec :: Int -> ReadS TrialComponent # readList :: ReadS [TrialComponent] # readPrec :: ReadPrec TrialComponent # readListPrec :: ReadPrec [TrialComponent] #
Show TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Methods showsPrec :: Int -> TrialComponent -> ShowS # show :: TrialComponent -> String # showList :: [TrialComponent] -> ShowS #
Generic TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Associated Types type Rep TrialComponent :: Type -> Type # Methods from :: TrialComponent -> Rep TrialComponent x # to :: Rep TrialComponent x -> TrialComponent #
NFData TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Methods rnf :: TrialComponent -> () #
Hashable TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Methods hashWithSalt :: Int -> TrialComponent -> Int # hash :: TrialComponent -> Int #
FromJSON TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent Methods parseJSON :: Value -> Parser TrialComponent # parseJSONList :: Value -> Parser [TrialComponent] #
type Rep TrialComponent Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponent type Rep TrialComponent = D1 ('MetaData "TrialComponent" "Amazonka.SageMaker.Types.TrialComponent" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponent'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "metadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetadataProperties))) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentStatus)) :: S1 ('MetaSel ('Just "sourceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSourceDetail)))) :: ((S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TrialComponentMetricSummary])) :: S1 ('MetaSel ('Just "outputArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text TrialComponentArtifact)))) :: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))) :: (((S1 ('MetaSel ('Just "parents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parent])) :: S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "trialComponentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "parameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text TrialComponentParameterValue))) :: S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSource))))) :: ((S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))) :: (S1 ('MetaSel ('Just "trialComponentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "inputArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text TrialComponentArtifact))) :: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))))))))

newTrialComponent :: TrialComponent Source #

Create a value of TrialComponent with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TrialComponent', trialComponent_creationTime - When the component was created.

$sel:metadataProperties:TrialComponent', trialComponent_metadataProperties - Undocumented member.

$sel:status:TrialComponent', trialComponent_status - Undocumented member.

$sel:sourceDetail:TrialComponent', trialComponent_sourceDetail - Details of the source of the component.

$sel:metrics:TrialComponent', trialComponent_metrics - The metrics for the component.

$sel:outputArtifacts:TrialComponent', trialComponent_outputArtifacts - The output artifacts of the component.

$sel:startTime:TrialComponent', trialComponent_startTime - When the component started.

$sel:createdBy:TrialComponent', trialComponent_createdBy - Who created the trial component.

$sel:lastModifiedTime:TrialComponent', trialComponent_lastModifiedTime - When the component was last modified.

$sel:parents:TrialComponent', trialComponent_parents - An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.

$sel:endTime:TrialComponent', trialComponent_endTime - When the component ended.

$sel:trialComponentName:TrialComponent', trialComponent_trialComponentName - The name of the trial component.

$sel:parameters:TrialComponent', trialComponent_parameters - The hyperparameters of the component.

$sel:source:TrialComponent', trialComponent_source - The Amazon Resource Name (ARN) and job type of the source of the component.

$sel:displayName:TrialComponent', trialComponent_displayName - The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

$sel:lastModifiedBy:TrialComponent', trialComponent_lastModifiedBy - Undocumented member.

$sel:trialComponentArn:TrialComponent', trialComponent_trialComponentArn - The Amazon Resource Name (ARN) of the trial component.

$sel:inputArtifacts:TrialComponent', trialComponent_inputArtifacts - The input artifacts of the component.

$sel:tags:TrialComponent', trialComponent_tags - The list of tags that are associated with the component. You can use Search API to search on the tags.

trialComponent_creationTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component was created.

trialComponent_metadataProperties :: Lens' TrialComponent (Maybe MetadataProperties) Source #

Undocumented member.

trialComponent_status :: Lens' TrialComponent (Maybe TrialComponentStatus) Source #

Undocumented member.

trialComponent_sourceDetail :: Lens' TrialComponent (Maybe TrialComponentSourceDetail) Source #

Details of the source of the component.

trialComponent_metrics :: Lens' TrialComponent (Maybe [TrialComponentMetricSummary]) Source #

The metrics for the component.

trialComponent_outputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #

The output artifacts of the component.

trialComponent_startTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component started.

trialComponent_createdBy :: Lens' TrialComponent (Maybe UserContext) Source #

Who created the trial component.

trialComponent_lastModifiedTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component was last modified.

trialComponent_parents :: Lens' TrialComponent (Maybe [Parent]) Source #

An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.

trialComponent_endTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component ended.

trialComponent_trialComponentName :: Lens' TrialComponent (Maybe Text) Source #

The name of the trial component.

trialComponent_parameters :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentParameterValue)) Source #

The hyperparameters of the component.

trialComponent_source :: Lens' TrialComponent (Maybe TrialComponentSource) Source #

The Amazon Resource Name (ARN) and job type of the source of the component.

trialComponent_displayName :: Lens' TrialComponent (Maybe Text) Source #

The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

trialComponent_lastModifiedBy :: Lens' TrialComponent (Maybe UserContext) Source #

Undocumented member.

trialComponent_trialComponentArn :: Lens' TrialComponent (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial component.

trialComponent_inputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #

The input artifacts of the component.

trialComponent_tags :: Lens' TrialComponent (Maybe [Tag]) Source #

The list of tags that are associated with the component. You can use Search API to search on the tags.

TrialComponentArtifact

data TrialComponentArtifact Source #

Represents an input or output artifact of a trial component. You specify TrialComponentArtifact as part of the InputArtifacts and OutputArtifacts parameters in the CreateTrialComponent request.

Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types. Examples of output artifacts are metrics, snapshots, logs, and images.

See: newTrialComponentArtifact smart constructor.

Constructors

TrialComponentArtifact'
Fields mediaType :: Maybe Text The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data. value :: Text The location of the artifact.

Instances

Instances details

Eq TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods (==) :: TrialComponentArtifact -> TrialComponentArtifact -> Bool # (/=) :: TrialComponentArtifact -> TrialComponentArtifact -> Bool #
Read TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods readsPrec :: Int -> ReadS TrialComponentArtifact # readList :: ReadS [TrialComponentArtifact] # readPrec :: ReadPrec TrialComponentArtifact # readListPrec :: ReadPrec [TrialComponentArtifact] #
Show TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods showsPrec :: Int -> TrialComponentArtifact -> ShowS # show :: TrialComponentArtifact -> String # showList :: [TrialComponentArtifact] -> ShowS #
Generic TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Associated Types type Rep TrialComponentArtifact :: Type -> Type # Methods from :: TrialComponentArtifact -> Rep TrialComponentArtifact x # to :: Rep TrialComponentArtifact x -> TrialComponentArtifact #
NFData TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods rnf :: TrialComponentArtifact -> () #
Hashable TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods hashWithSalt :: Int -> TrialComponentArtifact -> Int # hash :: TrialComponentArtifact -> Int #
ToJSON TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods toJSON :: TrialComponentArtifact -> Value # toEncoding :: TrialComponentArtifact -> Encoding # toJSONList :: [TrialComponentArtifact] -> Value # toEncodingList :: [TrialComponentArtifact] -> Encoding #
FromJSON TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact Methods parseJSON :: Value -> Parser TrialComponentArtifact # parseJSONList :: Value -> Parser [TrialComponentArtifact] #
type Rep TrialComponentArtifact Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentArtifact type Rep TrialComponentArtifact = D1 ('MetaData "TrialComponentArtifact" "Amazonka.SageMaker.Types.TrialComponentArtifact" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentArtifact'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mediaType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTrialComponentArtifact Source #

Arguments

:: Text	`$sel:value:TrialComponentArtifact'`
-> TrialComponentArtifact

Create a value of TrialComponentArtifact with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:mediaType:TrialComponentArtifact', trialComponentArtifact_mediaType - The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.

$sel:value:TrialComponentArtifact', trialComponentArtifact_value - The location of the artifact.

trialComponentArtifact_mediaType :: Lens' TrialComponentArtifact (Maybe Text) Source #

The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.

trialComponentArtifact_value :: Lens' TrialComponentArtifact Text Source #

The location of the artifact.

TrialComponentMetricSummary

data TrialComponentMetricSummary Source #

A summary of the metrics of a trial component.

See: newTrialComponentMetricSummary smart constructor.

Constructors

TrialComponentMetricSummary'

Fields

max :: Maybe Double
The maximum value of the metric.
sourceArn :: Maybe Text
The Amazon Resource Name (ARN) of the source.
avg :: Maybe Double
The average value of the metric.
count :: Maybe Int
The number of samples used to generate the metric.
metricName :: Maybe Text
The name of the metric.
stdDev :: Maybe Double
The standard deviation of the metric.
min :: Maybe Double
The minimum value of the metric.
last :: Maybe Double
The most recent value of the metric.
timeStamp :: Maybe POSIX
When the metric was last updated.

Instances

Instances details

Eq TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Methods (==) :: TrialComponentMetricSummary -> TrialComponentMetricSummary -> Bool # (/=) :: TrialComponentMetricSummary -> TrialComponentMetricSummary -> Bool #
Read TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Methods readsPrec :: Int -> ReadS TrialComponentMetricSummary # readList :: ReadS [TrialComponentMetricSummary] # readPrec :: ReadPrec TrialComponentMetricSummary # readListPrec :: ReadPrec [TrialComponentMetricSummary] #
Show TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Methods showsPrec :: Int -> TrialComponentMetricSummary -> ShowS # show :: TrialComponentMetricSummary -> String # showList :: [TrialComponentMetricSummary] -> ShowS #
Generic TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Associated Types type Rep TrialComponentMetricSummary :: Type -> Type # Methods from :: TrialComponentMetricSummary -> Rep TrialComponentMetricSummary x # to :: Rep TrialComponentMetricSummary x -> TrialComponentMetricSummary #
NFData TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Methods rnf :: TrialComponentMetricSummary -> () #
Hashable TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Methods hashWithSalt :: Int -> TrialComponentMetricSummary -> Int # hash :: TrialComponentMetricSummary -> Int #
FromJSON TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary Methods parseJSON :: Value -> Parser TrialComponentMetricSummary # parseJSONList :: Value -> Parser [TrialComponentMetricSummary] #
type Rep TrialComponentMetricSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary type Rep TrialComponentMetricSummary = D1 ('MetaData "TrialComponentMetricSummary" "Amazonka.SageMaker.Types.TrialComponentMetricSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentMetricSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "max") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "avg") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "count") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))) :: ((S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "stdDev") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :: (S1 ('MetaSel ('Just "min") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "last") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "timeStamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))))

newTrialComponentMetricSummary :: TrialComponentMetricSummary Source #

Create a value of TrialComponentMetricSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:max:TrialComponentMetricSummary', trialComponentMetricSummary_max - The maximum value of the metric.

$sel:sourceArn:TrialComponentMetricSummary', trialComponentMetricSummary_sourceArn - The Amazon Resource Name (ARN) of the source.

$sel:avg:TrialComponentMetricSummary', trialComponentMetricSummary_avg - The average value of the metric.

$sel:count:TrialComponentMetricSummary', trialComponentMetricSummary_count - The number of samples used to generate the metric.

$sel:metricName:TrialComponentMetricSummary', trialComponentMetricSummary_metricName - The name of the metric.

$sel:stdDev:TrialComponentMetricSummary', trialComponentMetricSummary_stdDev - The standard deviation of the metric.

$sel:min:TrialComponentMetricSummary', trialComponentMetricSummary_min - The minimum value of the metric.

$sel:last:TrialComponentMetricSummary', trialComponentMetricSummary_last - The most recent value of the metric.

$sel:timeStamp:TrialComponentMetricSummary', trialComponentMetricSummary_timeStamp - When the metric was last updated.

trialComponentMetricSummary_max :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The maximum value of the metric.

trialComponentMetricSummary_sourceArn :: Lens' TrialComponentMetricSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the source.

trialComponentMetricSummary_avg :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The average value of the metric.

trialComponentMetricSummary_count :: Lens' TrialComponentMetricSummary (Maybe Int) Source #

The number of samples used to generate the metric.

trialComponentMetricSummary_metricName :: Lens' TrialComponentMetricSummary (Maybe Text) Source #

The name of the metric.

trialComponentMetricSummary_stdDev :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The standard deviation of the metric.

trialComponentMetricSummary_min :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The minimum value of the metric.

trialComponentMetricSummary_last :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The most recent value of the metric.

trialComponentMetricSummary_timeStamp :: Lens' TrialComponentMetricSummary (Maybe UTCTime) Source #

When the metric was last updated.

TrialComponentParameterValue

data TrialComponentParameterValue Source #

The value of a hyperparameter. Only one of NumberValue or StringValue can be specified.

This object is specified in the CreateTrialComponent request.

See: newTrialComponentParameterValue smart constructor.

Constructors

TrialComponentParameterValue'
Fields numberValue :: Maybe Double The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the `StringValue` parameter. stringValue :: Maybe Text The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the `NumberValue` parameter.

Instances

Instances details

Eq TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods (==) :: TrialComponentParameterValue -> TrialComponentParameterValue -> Bool # (/=) :: TrialComponentParameterValue -> TrialComponentParameterValue -> Bool #
Read TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods readsPrec :: Int -> ReadS TrialComponentParameterValue # readList :: ReadS [TrialComponentParameterValue] # readPrec :: ReadPrec TrialComponentParameterValue # readListPrec :: ReadPrec [TrialComponentParameterValue] #
Show TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods showsPrec :: Int -> TrialComponentParameterValue -> ShowS # show :: TrialComponentParameterValue -> String # showList :: [TrialComponentParameterValue] -> ShowS #
Generic TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Associated Types type Rep TrialComponentParameterValue :: Type -> Type # Methods from :: TrialComponentParameterValue -> Rep TrialComponentParameterValue x # to :: Rep TrialComponentParameterValue x -> TrialComponentParameterValue #
NFData TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods rnf :: TrialComponentParameterValue -> () #
Hashable TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods hashWithSalt :: Int -> TrialComponentParameterValue -> Int # hash :: TrialComponentParameterValue -> Int #
ToJSON TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods toJSON :: TrialComponentParameterValue -> Value # toEncoding :: TrialComponentParameterValue -> Encoding # toJSONList :: [TrialComponentParameterValue] -> Value # toEncodingList :: [TrialComponentParameterValue] -> Encoding #
FromJSON TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue Methods parseJSON :: Value -> Parser TrialComponentParameterValue # parseJSONList :: Value -> Parser [TrialComponentParameterValue] #
type Rep TrialComponentParameterValue Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue type Rep TrialComponentParameterValue = D1 ('MetaData "TrialComponentParameterValue" "Amazonka.SageMaker.Types.TrialComponentParameterValue" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentParameterValue'" 'PrefixI 'True) (S1 ('MetaSel ('Just "numberValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "stringValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTrialComponentParameterValue :: TrialComponentParameterValue Source #

Create a value of TrialComponentParameterValue with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:numberValue:TrialComponentParameterValue', trialComponentParameterValue_numberValue - The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue parameter.

$sel:stringValue:TrialComponentParameterValue', trialComponentParameterValue_stringValue - The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue parameter.

trialComponentParameterValue_numberValue :: Lens' TrialComponentParameterValue (Maybe Double) Source #

The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue parameter.

trialComponentParameterValue_stringValue :: Lens' TrialComponentParameterValue (Maybe Text) Source #

The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue parameter.

TrialComponentSimpleSummary

data TrialComponentSimpleSummary Source #

A short summary of a trial component.

See: newTrialComponentSimpleSummary smart constructor.

Constructors

TrialComponentSimpleSummary'
Fields creationTime :: Maybe POSIX When the component was created. createdBy :: Maybe UserContext trialComponentName :: Maybe Text The name of the trial component. trialComponentArn :: Maybe Text The Amazon Resource Name (ARN) of the trial component. trialComponentSource :: Maybe TrialComponentSource

Instances

Instances details

Eq TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Methods (==) :: TrialComponentSimpleSummary -> TrialComponentSimpleSummary -> Bool # (/=) :: TrialComponentSimpleSummary -> TrialComponentSimpleSummary -> Bool #
Read TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Methods readsPrec :: Int -> ReadS TrialComponentSimpleSummary # readList :: ReadS [TrialComponentSimpleSummary] # readPrec :: ReadPrec TrialComponentSimpleSummary # readListPrec :: ReadPrec [TrialComponentSimpleSummary] #
Show TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Methods showsPrec :: Int -> TrialComponentSimpleSummary -> ShowS # show :: TrialComponentSimpleSummary -> String # showList :: [TrialComponentSimpleSummary] -> ShowS #
Generic TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Associated Types type Rep TrialComponentSimpleSummary :: Type -> Type # Methods from :: TrialComponentSimpleSummary -> Rep TrialComponentSimpleSummary x # to :: Rep TrialComponentSimpleSummary x -> TrialComponentSimpleSummary #
NFData TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Methods rnf :: TrialComponentSimpleSummary -> () #
Hashable TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Methods hashWithSalt :: Int -> TrialComponentSimpleSummary -> Int # hash :: TrialComponentSimpleSummary -> Int #
FromJSON TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary Methods parseJSON :: Value -> Parser TrialComponentSimpleSummary # parseJSONList :: Value -> Parser [TrialComponentSimpleSummary] #
type Rep TrialComponentSimpleSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary type Rep TrialComponentSimpleSummary = D1 ('MetaData "TrialComponentSimpleSummary" "Amazonka.SageMaker.Types.TrialComponentSimpleSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentSimpleSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))) :: (S1 ('MetaSel ('Just "trialComponentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "trialComponentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trialComponentSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSource))))))

newTrialComponentSimpleSummary :: TrialComponentSimpleSummary Source #

Create a value of TrialComponentSimpleSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TrialComponentSimpleSummary', trialComponentSimpleSummary_creationTime - When the component was created.

$sel:createdBy:TrialComponentSimpleSummary', trialComponentSimpleSummary_createdBy - Undocumented member.

$sel:trialComponentName:TrialComponentSimpleSummary', trialComponentSimpleSummary_trialComponentName - The name of the trial component.

$sel:trialComponentArn:TrialComponentSimpleSummary', trialComponentSimpleSummary_trialComponentArn - The Amazon Resource Name (ARN) of the trial component.

$sel:trialComponentSource:TrialComponentSimpleSummary', trialComponentSimpleSummary_trialComponentSource - Undocumented member.

trialComponentSimpleSummary_creationTime :: Lens' TrialComponentSimpleSummary (Maybe UTCTime) Source #

When the component was created.

trialComponentSimpleSummary_createdBy :: Lens' TrialComponentSimpleSummary (Maybe UserContext) Source #

Undocumented member.

trialComponentSimpleSummary_trialComponentName :: Lens' TrialComponentSimpleSummary (Maybe Text) Source #

The name of the trial component.

trialComponentSimpleSummary_trialComponentArn :: Lens' TrialComponentSimpleSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial component.

trialComponentSimpleSummary_trialComponentSource :: Lens' TrialComponentSimpleSummary (Maybe TrialComponentSource) Source #

Undocumented member.

TrialComponentSource

data TrialComponentSource Source #

The Amazon Resource Name (ARN) and job type of the source of a trial component.

See: newTrialComponentSource smart constructor.

Constructors

TrialComponentSource'
Fields sourceType :: Maybe Text The source job type. sourceArn :: Text The source ARN.

Instances

Instances details

Eq TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Methods (==) :: TrialComponentSource -> TrialComponentSource -> Bool # (/=) :: TrialComponentSource -> TrialComponentSource -> Bool #
Read TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Methods readsPrec :: Int -> ReadS TrialComponentSource # readList :: ReadS [TrialComponentSource] # readPrec :: ReadPrec TrialComponentSource # readListPrec :: ReadPrec [TrialComponentSource] #
Show TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Methods showsPrec :: Int -> TrialComponentSource -> ShowS # show :: TrialComponentSource -> String # showList :: [TrialComponentSource] -> ShowS #
Generic TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Associated Types type Rep TrialComponentSource :: Type -> Type # Methods from :: TrialComponentSource -> Rep TrialComponentSource x # to :: Rep TrialComponentSource x -> TrialComponentSource #
NFData TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Methods rnf :: TrialComponentSource -> () #
Hashable TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Methods hashWithSalt :: Int -> TrialComponentSource -> Int # hash :: TrialComponentSource -> Int #
FromJSON TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource Methods parseJSON :: Value -> Parser TrialComponentSource # parseJSONList :: Value -> Parser [TrialComponentSource] #
type Rep TrialComponentSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSource type Rep TrialComponentSource = D1 ('MetaData "TrialComponentSource" "Amazonka.SageMaker.Types.TrialComponentSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTrialComponentSource Source #

Arguments

:: Text	`$sel:sourceArn:TrialComponentSource'`
-> TrialComponentSource

Create a value of TrialComponentSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:TrialComponentSource', trialComponentSource_sourceType - The source job type.

$sel:sourceArn:TrialComponentSource', trialComponentSource_sourceArn - The source ARN.

trialComponentSource_sourceType :: Lens' TrialComponentSource (Maybe Text) Source #

The source job type.

trialComponentSource_sourceArn :: Lens' TrialComponentSource Text Source #

The source ARN.

TrialComponentSourceDetail

data TrialComponentSourceDetail Source #

Detailed information about the source of a trial component. Either ProcessingJob or TrainingJob is returned.

See: newTrialComponentSourceDetail smart constructor.

Constructors

TrialComponentSourceDetail'

Fields

trainingJob :: Maybe TrainingJob
Information about a training job that's the source of a trial component.
sourceArn :: Maybe Text
The Amazon Resource Name (ARN) of the source.
processingJob :: Maybe ProcessingJob
Information about a processing job that's the source of a trial component.
transformJob :: Maybe TransformJob
Information about a transform job that's the source of a trial component.

Instances

Instances details

Eq TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Methods (==) :: TrialComponentSourceDetail -> TrialComponentSourceDetail -> Bool # (/=) :: TrialComponentSourceDetail -> TrialComponentSourceDetail -> Bool #
Read TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Methods readsPrec :: Int -> ReadS TrialComponentSourceDetail # readList :: ReadS [TrialComponentSourceDetail] # readPrec :: ReadPrec TrialComponentSourceDetail # readListPrec :: ReadPrec [TrialComponentSourceDetail] #
Show TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Methods showsPrec :: Int -> TrialComponentSourceDetail -> ShowS # show :: TrialComponentSourceDetail -> String # showList :: [TrialComponentSourceDetail] -> ShowS #
Generic TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Associated Types type Rep TrialComponentSourceDetail :: Type -> Type # Methods from :: TrialComponentSourceDetail -> Rep TrialComponentSourceDetail x # to :: Rep TrialComponentSourceDetail x -> TrialComponentSourceDetail #
NFData TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Methods rnf :: TrialComponentSourceDetail -> () #
Hashable TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Methods hashWithSalt :: Int -> TrialComponentSourceDetail -> Int # hash :: TrialComponentSourceDetail -> Int #
FromJSON TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail Methods parseJSON :: Value -> Parser TrialComponentSourceDetail # parseJSONList :: Value -> Parser [TrialComponentSourceDetail] #
type Rep TrialComponentSourceDetail Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail type Rep TrialComponentSourceDetail = D1 ('MetaData "TrialComponentSourceDetail" "Amazonka.SageMaker.Types.TrialComponentSourceDetail" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentSourceDetail'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "trainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJob)) :: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "processingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingJob)) :*: S1 ('MetaSel ('Just "transformJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJob)))))

newTrialComponentSourceDetail :: TrialComponentSourceDetail Source #

Create a value of TrialComponentSourceDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:trainingJob:TrialComponentSourceDetail', trialComponentSourceDetail_trainingJob - Information about a training job that's the source of a trial component.

$sel:sourceArn:TrialComponentSourceDetail', trialComponentSourceDetail_sourceArn - The Amazon Resource Name (ARN) of the source.

$sel:processingJob:TrialComponentSourceDetail', trialComponentSourceDetail_processingJob - Information about a processing job that's the source of a trial component.

$sel:transformJob:TrialComponentSourceDetail', trialComponentSourceDetail_transformJob - Information about a transform job that's the source of a trial component.

trialComponentSourceDetail_trainingJob :: Lens' TrialComponentSourceDetail (Maybe TrainingJob) Source #

Information about a training job that's the source of a trial component.

trialComponentSourceDetail_sourceArn :: Lens' TrialComponentSourceDetail (Maybe Text) Source #

The Amazon Resource Name (ARN) of the source.

trialComponentSourceDetail_processingJob :: Lens' TrialComponentSourceDetail (Maybe ProcessingJob) Source #

Information about a processing job that's the source of a trial component.

trialComponentSourceDetail_transformJob :: Lens' TrialComponentSourceDetail (Maybe TransformJob) Source #

Information about a transform job that's the source of a trial component.

TrialComponentStatus

data TrialComponentStatus Source #

The status of the trial component.

See: newTrialComponentStatus smart constructor.

Constructors

TrialComponentStatus'
Fields primaryStatus :: Maybe TrialComponentPrimaryStatus The status of the trial component. message :: Maybe Text If the component failed, a message describing why.

Instances

Instances details

Eq TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods (==) :: TrialComponentStatus -> TrialComponentStatus -> Bool # (/=) :: TrialComponentStatus -> TrialComponentStatus -> Bool #
Read TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods readsPrec :: Int -> ReadS TrialComponentStatus # readList :: ReadS [TrialComponentStatus] # readPrec :: ReadPrec TrialComponentStatus # readListPrec :: ReadPrec [TrialComponentStatus] #
Show TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods showsPrec :: Int -> TrialComponentStatus -> ShowS # show :: TrialComponentStatus -> String # showList :: [TrialComponentStatus] -> ShowS #
Generic TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Associated Types type Rep TrialComponentStatus :: Type -> Type # Methods from :: TrialComponentStatus -> Rep TrialComponentStatus x # to :: Rep TrialComponentStatus x -> TrialComponentStatus #
NFData TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods rnf :: TrialComponentStatus -> () #
Hashable TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods hashWithSalt :: Int -> TrialComponentStatus -> Int # hash :: TrialComponentStatus -> Int #
ToJSON TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods toJSON :: TrialComponentStatus -> Value # toEncoding :: TrialComponentStatus -> Encoding # toJSONList :: [TrialComponentStatus] -> Value # toEncodingList :: [TrialComponentStatus] -> Encoding #
FromJSON TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus Methods parseJSON :: Value -> Parser TrialComponentStatus # parseJSONList :: Value -> Parser [TrialComponentStatus] #
type Rep TrialComponentStatus Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentStatus type Rep TrialComponentStatus = D1 ('MetaData "TrialComponentStatus" "Amazonka.SageMaker.Types.TrialComponentStatus" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "primaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentPrimaryStatus)) :*: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTrialComponentStatus :: TrialComponentStatus Source #

Create a value of TrialComponentStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:primaryStatus:TrialComponentStatus', trialComponentStatus_primaryStatus - The status of the trial component.

$sel:message:TrialComponentStatus', trialComponentStatus_message - If the component failed, a message describing why.

trialComponentStatus_primaryStatus :: Lens' TrialComponentStatus (Maybe TrialComponentPrimaryStatus) Source #

The status of the trial component.

trialComponentStatus_message :: Lens' TrialComponentStatus (Maybe Text) Source #

If the component failed, a message describing why.

TrialComponentSummary

data TrialComponentSummary Source #

A summary of the properties of a trial component. To get all the properties, call the DescribeTrialComponent API and provide the TrialComponentName.

See: newTrialComponentSummary smart constructor.

Constructors

TrialComponentSummary'

Fields

creationTime :: Maybe POSIX
When the component was created.
status :: Maybe TrialComponentStatus
The status of the component. States include:
- InProgress
- Completed
- Failed
startTime :: Maybe POSIX
When the component started.
createdBy :: Maybe UserContext
Who created the trial component.
lastModifiedTime :: Maybe POSIX
When the component was last modified.
endTime :: Maybe POSIX
When the component ended.
trialComponentName :: Maybe Text
The name of the trial component.
displayName :: Maybe Text
The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.
lastModifiedBy :: Maybe UserContext
Who last modified the component.
trialComponentArn :: Maybe Text
The ARN of the trial component.
trialComponentSource :: Maybe TrialComponentSource

Instances

Instances details

Eq TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Methods (==) :: TrialComponentSummary -> TrialComponentSummary -> Bool # (/=) :: TrialComponentSummary -> TrialComponentSummary -> Bool #
Read TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Methods readsPrec :: Int -> ReadS TrialComponentSummary # readList :: ReadS [TrialComponentSummary] # readPrec :: ReadPrec TrialComponentSummary # readListPrec :: ReadPrec [TrialComponentSummary] #
Show TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Methods showsPrec :: Int -> TrialComponentSummary -> ShowS # show :: TrialComponentSummary -> String # showList :: [TrialComponentSummary] -> ShowS #
Generic TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Associated Types type Rep TrialComponentSummary :: Type -> Type # Methods from :: TrialComponentSummary -> Rep TrialComponentSummary x # to :: Rep TrialComponentSummary x -> TrialComponentSummary #
NFData TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Methods rnf :: TrialComponentSummary -> () #
Hashable TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Methods hashWithSalt :: Int -> TrialComponentSummary -> Int # hash :: TrialComponentSummary -> Int #
FromJSON TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary Methods parseJSON :: Value -> Parser TrialComponentSummary # parseJSONList :: Value -> Parser [TrialComponentSummary] #
type Rep TrialComponentSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialComponentSummary type Rep TrialComponentSummary = D1 ('MetaData "TrialComponentSummary" "Amazonka.SageMaker.Types.TrialComponentSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialComponentSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentStatus))) :: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: ((S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "trialComponentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :: (S1 ('MetaSel ('Just "trialComponentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trialComponentSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSource)))))))

newTrialComponentSummary :: TrialComponentSummary Source #

Create a value of TrialComponentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TrialComponentSummary', trialComponentSummary_creationTime - When the component was created.

$sel:status:TrialComponentSummary', trialComponentSummary_status - The status of the component. States include:

InProgress
Completed
Failed

$sel:startTime:TrialComponentSummary', trialComponentSummary_startTime - When the component started.

$sel:createdBy:TrialComponentSummary', trialComponentSummary_createdBy - Who created the trial component.

$sel:lastModifiedTime:TrialComponentSummary', trialComponentSummary_lastModifiedTime - When the component was last modified.

$sel:endTime:TrialComponentSummary', trialComponentSummary_endTime - When the component ended.

$sel:trialComponentName:TrialComponentSummary', trialComponentSummary_trialComponentName - The name of the trial component.

$sel:displayName:TrialComponentSummary', trialComponentSummary_displayName - The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

$sel:lastModifiedBy:TrialComponentSummary', trialComponentSummary_lastModifiedBy - Who last modified the component.

$sel:trialComponentArn:TrialComponentSummary', trialComponentSummary_trialComponentArn - The ARN of the trial component.

$sel:trialComponentSource:TrialComponentSummary', trialComponentSummary_trialComponentSource - Undocumented member.

trialComponentSummary_creationTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component was created.

trialComponentSummary_status :: Lens' TrialComponentSummary (Maybe TrialComponentStatus) Source #

The status of the component. States include:

InProgress
Completed
Failed

trialComponentSummary_startTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component started.

trialComponentSummary_createdBy :: Lens' TrialComponentSummary (Maybe UserContext) Source #

Who created the trial component.

trialComponentSummary_lastModifiedTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component was last modified.

trialComponentSummary_endTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component ended.

trialComponentSummary_trialComponentName :: Lens' TrialComponentSummary (Maybe Text) Source #

The name of the trial component.

trialComponentSummary_displayName :: Lens' TrialComponentSummary (Maybe Text) Source #

The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

trialComponentSummary_lastModifiedBy :: Lens' TrialComponentSummary (Maybe UserContext) Source #

Who last modified the component.

trialComponentSummary_trialComponentArn :: Lens' TrialComponentSummary (Maybe Text) Source #

The ARN of the trial component.

trialComponentSummary_trialComponentSource :: Lens' TrialComponentSummary (Maybe TrialComponentSource) Source #

Undocumented member.

TrialSource

data TrialSource Source #

The source of the trial.

See: newTrialSource smart constructor.

Constructors

TrialSource'
Fields sourceType :: Maybe Text The source job type. sourceArn :: Text The Amazon Resource Name (ARN) of the source.

Instances

Instances details

Eq TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Methods (==) :: TrialSource -> TrialSource -> Bool # (/=) :: TrialSource -> TrialSource -> Bool #
Read TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Methods readsPrec :: Int -> ReadS TrialSource # readList :: ReadS [TrialSource] # readPrec :: ReadPrec TrialSource # readListPrec :: ReadPrec [TrialSource] #
Show TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Methods showsPrec :: Int -> TrialSource -> ShowS # show :: TrialSource -> String # showList :: [TrialSource] -> ShowS #
Generic TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Associated Types type Rep TrialSource :: Type -> Type # Methods from :: TrialSource -> Rep TrialSource x # to :: Rep TrialSource x -> TrialSource #
NFData TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Methods rnf :: TrialSource -> () #
Hashable TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Methods hashWithSalt :: Int -> TrialSource -> Int # hash :: TrialSource -> Int #
FromJSON TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource Methods parseJSON :: Value -> Parser TrialSource # parseJSONList :: Value -> Parser [TrialSource] #
type Rep TrialSource Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSource type Rep TrialSource = D1 ('MetaData "TrialSource" "Amazonka.SageMaker.Types.TrialSource" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTrialSource Source #

Arguments

:: Text	`$sel:sourceArn:TrialSource'`
-> TrialSource

Create a value of TrialSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:TrialSource', trialSource_sourceType - The source job type.

$sel:sourceArn:TrialSource', trialSource_sourceArn - The Amazon Resource Name (ARN) of the source.

trialSource_sourceType :: Lens' TrialSource (Maybe Text) Source #

The source job type.

trialSource_sourceArn :: Lens' TrialSource Text Source #

The Amazon Resource Name (ARN) of the source.

TrialSummary

data TrialSummary Source #

A summary of the properties of a trial. To get the complete set of properties, call the DescribeTrial API and provide the TrialName.

See: newTrialSummary smart constructor.

Constructors

TrialSummary'
Fields creationTime :: Maybe POSIX When the trial was created. trialArn :: Maybe Text The Amazon Resource Name (ARN) of the trial. lastModifiedTime :: Maybe POSIX When the trial was last modified. trialSource :: Maybe TrialSource displayName :: Maybe Text The name of the trial as displayed. If `DisplayName` isn't specified, `TrialName` is displayed. trialName :: Maybe Text The name of the trial.

Instances

Instances details

Eq TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Methods (==) :: TrialSummary -> TrialSummary -> Bool # (/=) :: TrialSummary -> TrialSummary -> Bool #
Read TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Methods readsPrec :: Int -> ReadS TrialSummary # readList :: ReadS [TrialSummary] # readPrec :: ReadPrec TrialSummary # readListPrec :: ReadPrec [TrialSummary] #
Show TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Methods showsPrec :: Int -> TrialSummary -> ShowS # show :: TrialSummary -> String # showList :: [TrialSummary] -> ShowS #
Generic TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Associated Types type Rep TrialSummary :: Type -> Type # Methods from :: TrialSummary -> Rep TrialSummary x # to :: Rep TrialSummary x -> TrialSummary #
NFData TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Methods rnf :: TrialSummary -> () #
Hashable TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Methods hashWithSalt :: Int -> TrialSummary -> Int # hash :: TrialSummary -> Int #
FromJSON TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary Methods parseJSON :: Value -> Parser TrialSummary # parseJSONList :: Value -> Parser [TrialSummary] #
type Rep TrialSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.TrialSummary type Rep TrialSummary = D1 ('MetaData "TrialSummary" "Amazonka.SageMaker.Types.TrialSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TrialSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "trialArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: (S1 ('MetaSel ('Just "trialSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialSource)) :: (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newTrialSummary :: TrialSummary Source #

Create a value of TrialSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TrialSummary', trialSummary_creationTime - When the trial was created.

$sel:trialArn:TrialSummary', trialSummary_trialArn - The Amazon Resource Name (ARN) of the trial.

$sel:lastModifiedTime:TrialSummary', trialSummary_lastModifiedTime - When the trial was last modified.

$sel:trialSource:TrialSummary', trialSummary_trialSource - Undocumented member.

$sel:displayName:TrialSummary', trialSummary_displayName - The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

$sel:trialName:TrialSummary', trialSummary_trialName - The name of the trial.

trialSummary_creationTime :: Lens' TrialSummary (Maybe UTCTime) Source #

When the trial was created.

trialSummary_trialArn :: Lens' TrialSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial.

trialSummary_lastModifiedTime :: Lens' TrialSummary (Maybe UTCTime) Source #

When the trial was last modified.

trialSummary_trialSource :: Lens' TrialSummary (Maybe TrialSource) Source #

Undocumented member.

trialSummary_displayName :: Lens' TrialSummary (Maybe Text) Source #

The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

trialSummary_trialName :: Lens' TrialSummary (Maybe Text) Source #

The name of the trial.

TuningJobCompletionCriteria

data TuningJobCompletionCriteria Source #

The job completion criteria.

See: newTuningJobCompletionCriteria smart constructor.

Constructors

TuningJobCompletionCriteria'
Fields targetObjectiveMetricValue :: Double The value of the objective metric.

Instances

Instances details

Eq TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods (==) :: TuningJobCompletionCriteria -> TuningJobCompletionCriteria -> Bool # (/=) :: TuningJobCompletionCriteria -> TuningJobCompletionCriteria -> Bool #
Read TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods readsPrec :: Int -> ReadS TuningJobCompletionCriteria # readList :: ReadS [TuningJobCompletionCriteria] # readPrec :: ReadPrec TuningJobCompletionCriteria # readListPrec :: ReadPrec [TuningJobCompletionCriteria] #
Show TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods showsPrec :: Int -> TuningJobCompletionCriteria -> ShowS # show :: TuningJobCompletionCriteria -> String # showList :: [TuningJobCompletionCriteria] -> ShowS #
Generic TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Associated Types type Rep TuningJobCompletionCriteria :: Type -> Type # Methods from :: TuningJobCompletionCriteria -> Rep TuningJobCompletionCriteria x # to :: Rep TuningJobCompletionCriteria x -> TuningJobCompletionCriteria #
NFData TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods rnf :: TuningJobCompletionCriteria -> () #
Hashable TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods hashWithSalt :: Int -> TuningJobCompletionCriteria -> Int # hash :: TuningJobCompletionCriteria -> Int #
ToJSON TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods toJSON :: TuningJobCompletionCriteria -> Value # toEncoding :: TuningJobCompletionCriteria -> Encoding # toJSONList :: [TuningJobCompletionCriteria] -> Value # toEncodingList :: [TuningJobCompletionCriteria] -> Encoding #
FromJSON TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria Methods parseJSON :: Value -> Parser TuningJobCompletionCriteria # parseJSONList :: Value -> Parser [TuningJobCompletionCriteria] #
type Rep TuningJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria type Rep TuningJobCompletionCriteria = D1 ('MetaData "TuningJobCompletionCriteria" "Amazonka.SageMaker.Types.TuningJobCompletionCriteria" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TuningJobCompletionCriteria'" 'PrefixI 'True) (S1 ('MetaSel ('Just "targetObjectiveMetricValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double)))

newTuningJobCompletionCriteria Source #

Arguments

:: Double	`$sel:targetObjectiveMetricValue:TuningJobCompletionCriteria'`
-> TuningJobCompletionCriteria

Create a value of TuningJobCompletionCriteria with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:targetObjectiveMetricValue:TuningJobCompletionCriteria', tuningJobCompletionCriteria_targetObjectiveMetricValue - The value of the objective metric.

tuningJobCompletionCriteria_targetObjectiveMetricValue :: Lens' TuningJobCompletionCriteria Double Source #

The value of the objective metric.

TuningJobStepMetaData

data TuningJobStepMetaData Source #

Metadata for a tuning step.

See: newTuningJobStepMetaData smart constructor.

Constructors

TuningJobStepMetaData'
Fields arn :: Maybe Text The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

Instances

Instances details

Eq TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Methods (==) :: TuningJobStepMetaData -> TuningJobStepMetaData -> Bool # (/=) :: TuningJobStepMetaData -> TuningJobStepMetaData -> Bool #
Read TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Methods readsPrec :: Int -> ReadS TuningJobStepMetaData # readList :: ReadS [TuningJobStepMetaData] # readPrec :: ReadPrec TuningJobStepMetaData # readListPrec :: ReadPrec [TuningJobStepMetaData] #
Show TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Methods showsPrec :: Int -> TuningJobStepMetaData -> ShowS # show :: TuningJobStepMetaData -> String # showList :: [TuningJobStepMetaData] -> ShowS #
Generic TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Associated Types type Rep TuningJobStepMetaData :: Type -> Type # Methods from :: TuningJobStepMetaData -> Rep TuningJobStepMetaData x # to :: Rep TuningJobStepMetaData x -> TuningJobStepMetaData #
NFData TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Methods rnf :: TuningJobStepMetaData -> () #
Hashable TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Methods hashWithSalt :: Int -> TuningJobStepMetaData -> Int # hash :: TuningJobStepMetaData -> Int #
FromJSON TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData Methods parseJSON :: Value -> Parser TuningJobStepMetaData # parseJSONList :: Value -> Parser [TuningJobStepMetaData] #
type Rep TuningJobStepMetaData Source #
Instance details Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData type Rep TuningJobStepMetaData = D1 ('MetaData "TuningJobStepMetaData" "Amazonka.SageMaker.Types.TuningJobStepMetaData" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "TuningJobStepMetaData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTuningJobStepMetaData :: TuningJobStepMetaData Source #

Create a value of TuningJobStepMetaData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:TuningJobStepMetaData', tuningJobStepMetaData_arn - The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

tuningJobStepMetaData_arn :: Lens' TuningJobStepMetaData (Maybe Text) Source #

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

USD

data USD Source #

Represents an amount of money in United States dollars.

See: newUSD smart constructor.

Constructors

USD'
Fields cents :: Maybe Natural The fractional portion, in cents, of the amount. dollars :: Maybe Natural The whole number of dollars in the amount. tenthFractionsOfACent :: Maybe Natural Fractions of a cent, in tenths.

Instances

Instances details

Eq USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods (==) :: USD -> USD -> Bool # (/=) :: USD -> USD -> Bool #
Read USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods readsPrec :: Int -> ReadS USD # readList :: ReadS [USD] # readPrec :: ReadPrec USD # readListPrec :: ReadPrec [USD] #
Show USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods showsPrec :: Int -> USD -> ShowS # show :: USD -> String # showList :: [USD] -> ShowS #
Generic USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Associated Types type Rep USD :: Type -> Type # Methods from :: USD -> Rep USD x # to :: Rep USD x -> USD #
NFData USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods rnf :: USD -> () #
Hashable USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods hashWithSalt :: Int -> USD -> Int # hash :: USD -> Int #
ToJSON USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods toJSON :: USD -> Value # toEncoding :: USD -> Encoding # toJSONList :: [USD] -> Value # toEncodingList :: [USD] -> Encoding #
FromJSON USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD Methods parseJSON :: Value -> Parser USD # parseJSONList :: Value -> Parser [USD] #
type Rep USD Source #
Instance details Defined in Amazonka.SageMaker.Types.USD type Rep USD = D1 ('MetaData "USD" "Amazonka.SageMaker.Types.USD" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "USD'" 'PrefixI 'True) (S1 ('MetaSel ('Just "cents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "dollars") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "tenthFractionsOfACent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newUSD :: USD Source #

Create a value of USD with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cents:USD', usd_cents - The fractional portion, in cents, of the amount.

$sel:dollars:USD', usd_dollars - The whole number of dollars in the amount.

$sel:tenthFractionsOfACent:USD', usd_tenthFractionsOfACent - Fractions of a cent, in tenths.

usd_cents :: Lens' USD (Maybe Natural) Source #

The fractional portion, in cents, of the amount.

usd_dollars :: Lens' USD (Maybe Natural) Source #

The whole number of dollars in the amount.

usd_tenthFractionsOfACent :: Lens' USD (Maybe Natural) Source #

Fractions of a cent, in tenths.

UiConfig

data UiConfig Source #

Provided configuration information for the worker UI for a labeling job. Provide either HumanTaskUiArn or UiTemplateS3Uri.

For named entity recognition, 3D point cloud and video frame labeling jobs, use HumanTaskUiArn.

For all other Ground Truth built-in task types and custom task types, use UiTemplateS3Uri to specify the location of a worker task template in Amazon S3.

See: newUiConfig smart constructor.

Constructors

UiConfig'

Fields

uiTemplateS3Uri :: Maybe Text
The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.
humanTaskUiArn :: Maybe Text
The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.
Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).
Named Entity Recognition
Use the following HumanTaskUiArn for named entity recognition labeling jobs:
```
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition
```
3D Point Cloud HumanTaskUiArns
Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.
- ```
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection
```
Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.
- ```
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking
```
Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.
- ```
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation
```
Video Frame HumanTaskUiArns
Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.
- ```
arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection
```
Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.
- ```
arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking
```

Instances

Instances details

Eq UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods (==) :: UiConfig -> UiConfig -> Bool # (/=) :: UiConfig -> UiConfig -> Bool #
Read UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods readsPrec :: Int -> ReadS UiConfig # readList :: ReadS [UiConfig] # readPrec :: ReadPrec UiConfig # readListPrec :: ReadPrec [UiConfig] #
Show UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods showsPrec :: Int -> UiConfig -> ShowS # show :: UiConfig -> String # showList :: [UiConfig] -> ShowS #
Generic UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Associated Types type Rep UiConfig :: Type -> Type # Methods from :: UiConfig -> Rep UiConfig x # to :: Rep UiConfig x -> UiConfig #
NFData UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods rnf :: UiConfig -> () #
Hashable UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods hashWithSalt :: Int -> UiConfig -> Int # hash :: UiConfig -> Int #
ToJSON UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods toJSON :: UiConfig -> Value # toEncoding :: UiConfig -> Encoding # toJSONList :: [UiConfig] -> Value # toEncodingList :: [UiConfig] -> Encoding #
FromJSON UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig Methods parseJSON :: Value -> Parser UiConfig # parseJSONList :: Value -> Parser [UiConfig] #
type Rep UiConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.UiConfig type Rep UiConfig = D1 ('MetaData "UiConfig" "Amazonka.SageMaker.Types.UiConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "UiConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "uiTemplateS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "humanTaskUiArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newUiConfig :: UiConfig Source #

Create a value of UiConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:uiTemplateS3Uri:UiConfig', uiConfig_uiTemplateS3Uri - The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.

$sel:humanTaskUiArn:UiConfig', uiConfig_humanTaskUiArn - The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.

Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).

Named Entity Recognition

Use the following HumanTaskUiArn for named entity recognition labeling jobs:

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition

3D Point Cloud HumanTaskUiArns

Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection

Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking

Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation

Video Frame HumanTaskUiArns

Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.

arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection

Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking

uiConfig_uiTemplateS3Uri :: Lens' UiConfig (Maybe Text) Source #

The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.

uiConfig_humanTaskUiArn :: Lens' UiConfig (Maybe Text) Source #

The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.

Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).

Named Entity Recognition

Use the following HumanTaskUiArn for named entity recognition labeling jobs:

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition

3D Point Cloud HumanTaskUiArns

Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection

Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking

Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation

Video Frame HumanTaskUiArns

Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.

arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection

Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking

UiTemplate

data UiTemplate Source #

The Liquid template for the worker user interface.

See: newUiTemplate smart constructor.

Constructors

UiTemplate'
Fields content :: Text The content of the Liquid template for the worker user interface.

Instances

Instances details

Eq UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Methods (==) :: UiTemplate -> UiTemplate -> Bool # (/=) :: UiTemplate -> UiTemplate -> Bool #
Read UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Methods readsPrec :: Int -> ReadS UiTemplate # readList :: ReadS [UiTemplate] # readPrec :: ReadPrec UiTemplate # readListPrec :: ReadPrec [UiTemplate] #
Show UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Methods showsPrec :: Int -> UiTemplate -> ShowS # show :: UiTemplate -> String # showList :: [UiTemplate] -> ShowS #
Generic UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Associated Types type Rep UiTemplate :: Type -> Type # Methods from :: UiTemplate -> Rep UiTemplate x # to :: Rep UiTemplate x -> UiTemplate #
NFData UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Methods rnf :: UiTemplate -> () #
Hashable UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Methods hashWithSalt :: Int -> UiTemplate -> Int # hash :: UiTemplate -> Int #
ToJSON UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate Methods toJSON :: UiTemplate -> Value # toEncoding :: UiTemplate -> Encoding # toJSONList :: [UiTemplate] -> Value # toEncodingList :: [UiTemplate] -> Encoding #
type Rep UiTemplate Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplate type Rep UiTemplate = D1 ('MetaData "UiTemplate" "Amazonka.SageMaker.Types.UiTemplate" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "UiTemplate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newUiTemplate Source #

Arguments

:: Text	`$sel:content:UiTemplate'`
-> UiTemplate

Create a value of UiTemplate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:content:UiTemplate', uiTemplate_content - The content of the Liquid template for the worker user interface.

uiTemplate_content :: Lens' UiTemplate Text Source #

The content of the Liquid template for the worker user interface.

UiTemplateInfo

data UiTemplateInfo Source #

Container for user interface template information.

See: newUiTemplateInfo smart constructor.

Constructors

UiTemplateInfo'
Fields url :: Maybe Text The URL for the user interface template. contentSha256 :: Maybe Text The SHA-256 digest of the contents of the template.

Instances

Instances details

Eq UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Methods (==) :: UiTemplateInfo -> UiTemplateInfo -> Bool # (/=) :: UiTemplateInfo -> UiTemplateInfo -> Bool #
Read UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Methods readsPrec :: Int -> ReadS UiTemplateInfo # readList :: ReadS [UiTemplateInfo] # readPrec :: ReadPrec UiTemplateInfo # readListPrec :: ReadPrec [UiTemplateInfo] #
Show UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Methods showsPrec :: Int -> UiTemplateInfo -> ShowS # show :: UiTemplateInfo -> String # showList :: [UiTemplateInfo] -> ShowS #
Generic UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Associated Types type Rep UiTemplateInfo :: Type -> Type # Methods from :: UiTemplateInfo -> Rep UiTemplateInfo x # to :: Rep UiTemplateInfo x -> UiTemplateInfo #
NFData UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Methods rnf :: UiTemplateInfo -> () #
Hashable UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Methods hashWithSalt :: Int -> UiTemplateInfo -> Int # hash :: UiTemplateInfo -> Int #
FromJSON UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo Methods parseJSON :: Value -> Parser UiTemplateInfo # parseJSONList :: Value -> Parser [UiTemplateInfo] #
type Rep UiTemplateInfo Source #
Instance details Defined in Amazonka.SageMaker.Types.UiTemplateInfo type Rep UiTemplateInfo = D1 ('MetaData "UiTemplateInfo" "Amazonka.SageMaker.Types.UiTemplateInfo" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "UiTemplateInfo'" 'PrefixI 'True) (S1 ('MetaSel ('Just "url") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "contentSha256") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newUiTemplateInfo :: UiTemplateInfo Source #

Create a value of UiTemplateInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:url:UiTemplateInfo', uiTemplateInfo_url - The URL for the user interface template.

$sel:contentSha256:UiTemplateInfo', uiTemplateInfo_contentSha256 - The SHA-256 digest of the contents of the template.

uiTemplateInfo_url :: Lens' UiTemplateInfo (Maybe Text) Source #

The URL for the user interface template.

uiTemplateInfo_contentSha256 :: Lens' UiTemplateInfo (Maybe Text) Source #

The SHA-256 digest of the contents of the template.

UserContext

data UserContext Source #

Information about the user who created or modified an experiment, trial, trial component, or project.

See: newUserContext smart constructor.

Constructors

UserContext'
Fields userProfileName :: Maybe Text The name of the user's profile. userProfileArn :: Maybe Text The Amazon Resource Name (ARN) of the user's profile. domainId :: Maybe Text The domain associated with the user.

Instances

Instances details

Eq UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Methods (==) :: UserContext -> UserContext -> Bool # (/=) :: UserContext -> UserContext -> Bool #
Read UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Methods readsPrec :: Int -> ReadS UserContext # readList :: ReadS [UserContext] # readPrec :: ReadPrec UserContext # readListPrec :: ReadPrec [UserContext] #
Show UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Methods showsPrec :: Int -> UserContext -> ShowS # show :: UserContext -> String # showList :: [UserContext] -> ShowS #
Generic UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Associated Types type Rep UserContext :: Type -> Type # Methods from :: UserContext -> Rep UserContext x # to :: Rep UserContext x -> UserContext #
NFData UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Methods rnf :: UserContext -> () #
Hashable UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Methods hashWithSalt :: Int -> UserContext -> Int # hash :: UserContext -> Int #
FromJSON UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext Methods parseJSON :: Value -> Parser UserContext # parseJSONList :: Value -> Parser [UserContext] #
type Rep UserContext Source #
Instance details Defined in Amazonka.SageMaker.Types.UserContext type Rep UserContext = D1 ('MetaData "UserContext" "Amazonka.SageMaker.Types.UserContext" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "UserContext'" 'PrefixI 'True) (S1 ('MetaSel ('Just "userProfileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "userProfileArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newUserContext :: UserContext Source #

Create a value of UserContext with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:userProfileName:UserContext', userContext_userProfileName - The name of the user's profile.

$sel:userProfileArn:UserContext', userContext_userProfileArn - The Amazon Resource Name (ARN) of the user's profile.

$sel:domainId:UserContext', userContext_domainId - The domain associated with the user.

userContext_userProfileName :: Lens' UserContext (Maybe Text) Source #

The name of the user's profile.

userContext_userProfileArn :: Lens' UserContext (Maybe Text) Source #

The Amazon Resource Name (ARN) of the user's profile.

userContext_domainId :: Lens' UserContext (Maybe Text) Source #

The domain associated with the user.

UserProfileDetails

data UserProfileDetails Source #

The user profile details.

See: newUserProfileDetails smart constructor.

Constructors

UserProfileDetails'
Fields creationTime :: Maybe POSIX The creation time. status :: Maybe UserProfileStatus The status. userProfileName :: Maybe Text The user profile name. lastModifiedTime :: Maybe POSIX The last modified time. domainId :: Maybe Text The domain ID.

Instances

Instances details

Eq UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Methods (==) :: UserProfileDetails -> UserProfileDetails -> Bool # (/=) :: UserProfileDetails -> UserProfileDetails -> Bool #
Read UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Methods readsPrec :: Int -> ReadS UserProfileDetails # readList :: ReadS [UserProfileDetails] # readPrec :: ReadPrec UserProfileDetails # readListPrec :: ReadPrec [UserProfileDetails] #
Show UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Methods showsPrec :: Int -> UserProfileDetails -> ShowS # show :: UserProfileDetails -> String # showList :: [UserProfileDetails] -> ShowS #
Generic UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Associated Types type Rep UserProfileDetails :: Type -> Type # Methods from :: UserProfileDetails -> Rep UserProfileDetails x # to :: Rep UserProfileDetails x -> UserProfileDetails #
NFData UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Methods rnf :: UserProfileDetails -> () #
Hashable UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Methods hashWithSalt :: Int -> UserProfileDetails -> Int # hash :: UserProfileDetails -> Int #
FromJSON UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails Methods parseJSON :: Value -> Parser UserProfileDetails # parseJSONList :: Value -> Parser [UserProfileDetails] #
type Rep UserProfileDetails Source #
Instance details Defined in Amazonka.SageMaker.Types.UserProfileDetails type Rep UserProfileDetails = D1 ('MetaData "UserProfileDetails" "Amazonka.SageMaker.Types.UserProfileDetails" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "UserProfileDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserProfileStatus))) :: (S1 ('MetaSel ('Just "userProfileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newUserProfileDetails :: UserProfileDetails Source #

Create a value of UserProfileDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:UserProfileDetails', userProfileDetails_creationTime - The creation time.

$sel:status:UserProfileDetails', userProfileDetails_status - The status.

$sel:userProfileName:UserProfileDetails', userProfileDetails_userProfileName - The user profile name.

$sel:lastModifiedTime:UserProfileDetails', userProfileDetails_lastModifiedTime - The last modified time.

$sel:domainId:UserProfileDetails', userProfileDetails_domainId - The domain ID.

userProfileDetails_creationTime :: Lens' UserProfileDetails (Maybe UTCTime) Source #

The creation time.

userProfileDetails_status :: Lens' UserProfileDetails (Maybe UserProfileStatus) Source #

The status.

userProfileDetails_userProfileName :: Lens' UserProfileDetails (Maybe Text) Source #

The user profile name.

userProfileDetails_lastModifiedTime :: Lens' UserProfileDetails (Maybe UTCTime) Source #

The last modified time.

userProfileDetails_domainId :: Lens' UserProfileDetails (Maybe Text) Source #

The domain ID.

UserSettings

data UserSettings Source #

A collection of settings that apply to users of Amazon SageMaker Studio. These settings are specified when the CreateUserProfile API is called, and as DefaultUserSettings when the CreateDomain API is called.

SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.

See: newUserSettings smart constructor.

Constructors

UserSettings'

Fields

tensorBoardAppSettings :: Maybe TensorBoardAppSettings
The TensorBoard app settings.
kernelGatewayAppSettings :: Maybe KernelGatewayAppSettings
The kernel gateway app settings.
securityGroups :: Maybe [Text]
The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.
Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.
Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly.
Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.
jupyterServerAppSettings :: Maybe JupyterServerAppSettings
The Jupyter server's app settings.
sharingSettings :: Maybe SharingSettings
Specifies options for sharing SageMaker Studio notebooks.
executionRole :: Maybe Text
The execution role for the user.

Instances

Instances details

Eq UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods (==) :: UserSettings -> UserSettings -> Bool # (/=) :: UserSettings -> UserSettings -> Bool #
Read UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods readsPrec :: Int -> ReadS UserSettings # readList :: ReadS [UserSettings] # readPrec :: ReadPrec UserSettings # readListPrec :: ReadPrec [UserSettings] #
Show UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods showsPrec :: Int -> UserSettings -> ShowS # show :: UserSettings -> String # showList :: [UserSettings] -> ShowS #
Generic UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Associated Types type Rep UserSettings :: Type -> Type # Methods from :: UserSettings -> Rep UserSettings x # to :: Rep UserSettings x -> UserSettings #
NFData UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods rnf :: UserSettings -> () #
Hashable UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods hashWithSalt :: Int -> UserSettings -> Int # hash :: UserSettings -> Int #
ToJSON UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods toJSON :: UserSettings -> Value # toEncoding :: UserSettings -> Encoding # toJSONList :: [UserSettings] -> Value # toEncodingList :: [UserSettings] -> Encoding #
FromJSON UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings Methods parseJSON :: Value -> Parser UserSettings # parseJSONList :: Value -> Parser [UserSettings] #
type Rep UserSettings Source #
Instance details Defined in Amazonka.SageMaker.Types.UserSettings type Rep UserSettings = D1 ('MetaData "UserSettings" "Amazonka.SageMaker.Types.UserSettings" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "UserSettings'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "tensorBoardAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TensorBoardAppSettings)) :: (S1 ('MetaSel ('Just "kernelGatewayAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KernelGatewayAppSettings)) :: S1 ('MetaSel ('Just "securityGroups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))) :: (S1 ('MetaSel ('Just "jupyterServerAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JupyterServerAppSettings)) :: (S1 ('MetaSel ('Just "sharingSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SharingSettings)) :*: S1 ('MetaSel ('Just "executionRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newUserSettings :: UserSettings Source #

Create a value of UserSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tensorBoardAppSettings:UserSettings', userSettings_tensorBoardAppSettings - The TensorBoard app settings.

$sel:kernelGatewayAppSettings:UserSettings', userSettings_kernelGatewayAppSettings - The kernel gateway app settings.

$sel:securityGroups:UserSettings', userSettings_securityGroups - The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.

Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly.

Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

$sel:jupyterServerAppSettings:UserSettings', userSettings_jupyterServerAppSettings - The Jupyter server's app settings.

$sel:sharingSettings:UserSettings', userSettings_sharingSettings - Specifies options for sharing SageMaker Studio notebooks.

$sel:executionRole:UserSettings', userSettings_executionRole - The execution role for the user.

userSettings_tensorBoardAppSettings :: Lens' UserSettings (Maybe TensorBoardAppSettings) Source #

The TensorBoard app settings.

userSettings_kernelGatewayAppSettings :: Lens' UserSettings (Maybe KernelGatewayAppSettings) Source #

The kernel gateway app settings.

userSettings_securityGroups :: Lens' UserSettings (Maybe [Text]) Source #

The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.

Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly.

Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

userSettings_jupyterServerAppSettings :: Lens' UserSettings (Maybe JupyterServerAppSettings) Source #

The Jupyter server's app settings.

userSettings_sharingSettings :: Lens' UserSettings (Maybe SharingSettings) Source #

Specifies options for sharing SageMaker Studio notebooks.

userSettings_executionRole :: Lens' UserSettings (Maybe Text) Source #

The execution role for the user.

VariantProperty

data VariantProperty Source #

Specifies a production variant property type for an Endpoint.

If you are updating an endpoint with the UpdateEndpointInput$RetainAllVariantProperties option set to true, the VariantProperty objects listed in UpdateEndpointInput$ExcludeRetainedVariantProperties override the existing variant properties of the endpoint.

See: newVariantProperty smart constructor.

Constructors

VariantProperty'

Fields

variantPropertyType :: VariantPropertyType
The type of variant property. The supported values are:
- DesiredInstanceCount: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
- DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.
- DataCaptureConfig: (Not currently supported.)

Instances

Instances details

Eq VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Methods (==) :: VariantProperty -> VariantProperty -> Bool # (/=) :: VariantProperty -> VariantProperty -> Bool #
Read VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Methods readsPrec :: Int -> ReadS VariantProperty # readList :: ReadS [VariantProperty] # readPrec :: ReadPrec VariantProperty # readListPrec :: ReadPrec [VariantProperty] #
Show VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Methods showsPrec :: Int -> VariantProperty -> ShowS # show :: VariantProperty -> String # showList :: [VariantProperty] -> ShowS #
Generic VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Associated Types type Rep VariantProperty :: Type -> Type # Methods from :: VariantProperty -> Rep VariantProperty x # to :: Rep VariantProperty x -> VariantProperty #
NFData VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Methods rnf :: VariantProperty -> () #
Hashable VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Methods hashWithSalt :: Int -> VariantProperty -> Int # hash :: VariantProperty -> Int #
ToJSON VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty Methods toJSON :: VariantProperty -> Value # toEncoding :: VariantProperty -> Encoding # toJSONList :: [VariantProperty] -> Value # toEncodingList :: [VariantProperty] -> Encoding #
type Rep VariantProperty Source #
Instance details Defined in Amazonka.SageMaker.Types.VariantProperty type Rep VariantProperty = D1 ('MetaData "VariantProperty" "Amazonka.SageMaker.Types.VariantProperty" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "VariantProperty'" 'PrefixI 'True) (S1 ('MetaSel ('Just "variantPropertyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 VariantPropertyType)))

newVariantProperty Source #

Arguments

:: VariantPropertyType	`$sel:variantPropertyType:VariantProperty'`
-> VariantProperty

Create a value of VariantProperty with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:variantPropertyType:VariantProperty', variantProperty_variantPropertyType - The type of variant property. The supported values are:

DesiredInstanceCount: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.
DataCaptureConfig: (Not currently supported.)

variantProperty_variantPropertyType :: Lens' VariantProperty VariantPropertyType Source #

The type of variant property. The supported values are:

DesiredInstanceCount: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.
DataCaptureConfig: (Not currently supported.)

VpcConfig

data VpcConfig Source #

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Training Jobs by Using an Amazon Virtual Private Cloud.

See: newVpcConfig smart constructor.

Constructors

VpcConfig'

Fields

securityGroupIds :: NonEmpty Text
The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
subnets :: NonEmpty Text
The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

Instances

Instances details

Eq VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods (==) :: VpcConfig -> VpcConfig -> Bool # (/=) :: VpcConfig -> VpcConfig -> Bool #
Read VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods readsPrec :: Int -> ReadS VpcConfig # readList :: ReadS [VpcConfig] # readPrec :: ReadPrec VpcConfig # readListPrec :: ReadPrec [VpcConfig] #
Show VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods showsPrec :: Int -> VpcConfig -> ShowS # show :: VpcConfig -> String # showList :: [VpcConfig] -> ShowS #
Generic VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Associated Types type Rep VpcConfig :: Type -> Type # Methods from :: VpcConfig -> Rep VpcConfig x # to :: Rep VpcConfig x -> VpcConfig #
NFData VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods rnf :: VpcConfig -> () #
Hashable VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods hashWithSalt :: Int -> VpcConfig -> Int # hash :: VpcConfig -> Int #
ToJSON VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods toJSON :: VpcConfig -> Value # toEncoding :: VpcConfig -> Encoding # toJSONList :: [VpcConfig] -> Value # toEncodingList :: [VpcConfig] -> Encoding #
FromJSON VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig Methods parseJSON :: Value -> Parser VpcConfig # parseJSONList :: Value -> Parser [VpcConfig] #
type Rep VpcConfig Source #
Instance details Defined in Amazonka.SageMaker.Types.VpcConfig type Rep VpcConfig = D1 ('MetaData "VpcConfig" "Amazonka.SageMaker.Types.VpcConfig" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "VpcConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :*: S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newVpcConfig Source #

Arguments

:: NonEmpty Text	`$sel:securityGroupIds:VpcConfig'`
-> NonEmpty Text	`$sel:subnets:VpcConfig'`
-> VpcConfig

Create a value of VpcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityGroupIds:VpcConfig', vpcConfig_securityGroupIds - The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

$sel:subnets:VpcConfig', vpcConfig_subnets - The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

vpcConfig_securityGroupIds :: Lens' VpcConfig (NonEmpty Text) Source #

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

vpcConfig_subnets :: Lens' VpcConfig (NonEmpty Text) Source #

The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

Workforce

data Workforce Source #

A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.

See: newWorkforce smart constructor.

Constructors

Workforce'

Fields

subDomain :: Maybe Text
The subdomain for your OIDC Identity Provider.
createDate :: Maybe POSIX
The date that the workforce is created.
sourceIpConfig :: Maybe SourceIpConfig
A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.
cognitoConfig :: Maybe CognitoConfig
The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.
lastUpdatedDate :: Maybe POSIX
The most recent date that was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.
oidcConfig :: Maybe OidcConfigForResponse
The configuration of an OIDC Identity Provider (IdP) private workforce.
workforceName :: Text
The name of the private workforce.
workforceArn :: Text
The Amazon Resource Name (ARN) of the private workforce.

Instances

Instances details

Eq Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Methods (==) :: Workforce -> Workforce -> Bool # (/=) :: Workforce -> Workforce -> Bool #
Read Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Methods readsPrec :: Int -> ReadS Workforce # readList :: ReadS [Workforce] # readPrec :: ReadPrec Workforce # readListPrec :: ReadPrec [Workforce] #
Show Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Methods showsPrec :: Int -> Workforce -> ShowS # show :: Workforce -> String # showList :: [Workforce] -> ShowS #
Generic Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Associated Types type Rep Workforce :: Type -> Type # Methods from :: Workforce -> Rep Workforce x # to :: Rep Workforce x -> Workforce #
NFData Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Methods rnf :: Workforce -> () #
Hashable Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Methods hashWithSalt :: Int -> Workforce -> Int # hash :: Workforce -> Int #
FromJSON Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce Methods parseJSON :: Value -> Parser Workforce # parseJSONList :: Value -> Parser [Workforce] #
type Rep Workforce Source #
Instance details Defined in Amazonka.SageMaker.Types.Workforce type Rep Workforce = D1 ('MetaData "Workforce" "Amazonka.SageMaker.Types.Workforce" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Workforce'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "subDomain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "createDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "sourceIpConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SourceIpConfig)) :: S1 ('MetaSel ('Just "cognitoConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CognitoConfig)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "oidcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OidcConfigForResponse))) :: (S1 ('MetaSel ('Just "workforceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "workforceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newWorkforce Source #

Arguments

:: Text	`$sel:workforceName:Workforce'`
-> Text	`$sel:workforceArn:Workforce'`
-> Workforce

Create a value of Workforce with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:subDomain:Workforce', workforce_subDomain - The subdomain for your OIDC Identity Provider.

$sel:createDate:Workforce', workforce_createDate - The date that the workforce is created.

$sel:sourceIpConfig:Workforce', workforce_sourceIpConfig - A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.

$sel:cognitoConfig:Workforce', workforce_cognitoConfig - The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.

$sel:lastUpdatedDate:Workforce', workforce_lastUpdatedDate - The most recent date that was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.

$sel:oidcConfig:Workforce', workforce_oidcConfig - The configuration of an OIDC Identity Provider (IdP) private workforce.

$sel:workforceName:Workforce', workforce_workforceName - The name of the private workforce.

$sel:workforceArn:Workforce', workforce_workforceArn - The Amazon Resource Name (ARN) of the private workforce.

workforce_subDomain :: Lens' Workforce (Maybe Text) Source #

The subdomain for your OIDC Identity Provider.

workforce_createDate :: Lens' Workforce (Maybe UTCTime) Source #

The date that the workforce is created.

workforce_sourceIpConfig :: Lens' Workforce (Maybe SourceIpConfig) Source #

A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.

workforce_cognitoConfig :: Lens' Workforce (Maybe CognitoConfig) Source #

The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.

workforce_lastUpdatedDate :: Lens' Workforce (Maybe UTCTime) Source #

The most recent date that was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.

workforce_oidcConfig :: Lens' Workforce (Maybe OidcConfigForResponse) Source #

The configuration of an OIDC Identity Provider (IdP) private workforce.

workforce_workforceName :: Lens' Workforce Text Source #

The name of the private workforce.

workforce_workforceArn :: Lens' Workforce Text Source #

The Amazon Resource Name (ARN) of the private workforce.

Workteam

data Workteam Source #

Provides details about a labeling work team.

See: newWorkteam smart constructor.

Constructors

Workteam'

Fields

subDomain :: Maybe Text
The URI of the labeling job's user interface. Workers open this URI to start labeling your data objects.
productListingIds :: Maybe [Text]
The Amazon Marketplace identifier for a vendor's work team.
notificationConfiguration :: Maybe NotificationConfiguration
Configures SNS notifications of available or expiring work items for work teams.
createDate :: Maybe POSIX
The date and time that the work team was created (timestamp).
workforceArn :: Maybe Text
The Amazon Resource Name (ARN) of the workforce.
lastUpdatedDate :: Maybe POSIX
The date and time that the work team was last updated (timestamp).
workteamName :: Text
The name of the work team.
memberDefinitions :: NonEmpty MemberDefinition
A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.
Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.
workteamArn :: Text
The Amazon Resource Name (ARN) that identifies the work team.
description :: Text
A description of the work team.

Instances

Instances details

Eq Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Methods (==) :: Workteam -> Workteam -> Bool # (/=) :: Workteam -> Workteam -> Bool #
Read Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Methods readsPrec :: Int -> ReadS Workteam # readList :: ReadS [Workteam] # readPrec :: ReadPrec Workteam # readListPrec :: ReadPrec [Workteam] #
Show Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Methods showsPrec :: Int -> Workteam -> ShowS # show :: Workteam -> String # showList :: [Workteam] -> ShowS #
Generic Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Associated Types type Rep Workteam :: Type -> Type # Methods from :: Workteam -> Rep Workteam x # to :: Rep Workteam x -> Workteam #
NFData Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Methods rnf :: Workteam -> () #
Hashable Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Methods hashWithSalt :: Int -> Workteam -> Int # hash :: Workteam -> Int #
FromJSON Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam Methods parseJSON :: Value -> Parser Workteam # parseJSONList :: Value -> Parser [Workteam] #
type Rep Workteam Source #
Instance details Defined in Amazonka.SageMaker.Types.Workteam type Rep Workteam = D1 ('MetaData "Workteam" "Amazonka.SageMaker.Types.Workteam" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "Workteam'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "subDomain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "productListingIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :: (S1 ('MetaSel ('Just "notificationConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationConfiguration)) :: (S1 ('MetaSel ('Just "createDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "workforceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "lastUpdatedDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "workteamName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :: (S1 ('MetaSel ('Just "memberDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty MemberDefinition)) :: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newWorkteam Source #

Arguments

:: Text	`$sel:workteamName:Workteam'`
-> NonEmpty MemberDefinition	`$sel:memberDefinitions:Workteam'`
-> Text	`$sel:workteamArn:Workteam'`
-> Text	`$sel:description:Workteam'`
-> Workteam

Create a value of Workteam with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:subDomain:Workteam', workteam_subDomain - The URI of the labeling job's user interface. Workers open this URI to start labeling your data objects.

$sel:productListingIds:Workteam', workteam_productListingIds - The Amazon Marketplace identifier for a vendor's work team.

$sel:notificationConfiguration:Workteam', workteam_notificationConfiguration - Configures SNS notifications of available or expiring work items for work teams.

$sel:createDate:Workteam', workteam_createDate - The date and time that the work team was created (timestamp).

$sel:workforceArn:Workteam', workteam_workforceArn - The Amazon Resource Name (ARN) of the workforce.

$sel:lastUpdatedDate:Workteam', workteam_lastUpdatedDate - The date and time that the work team was last updated (timestamp).

$sel:workteamName:Workteam', workteam_workteamName - The name of the work team.

$sel:memberDefinitions:Workteam', workteam_memberDefinitions - A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.

Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.

$sel:workteamArn:Workteam', workteam_workteamArn - The Amazon Resource Name (ARN) that identifies the work team.

$sel:description:Workteam', workteam_description - A description of the work team.

workteam_subDomain :: Lens' Workteam (Maybe Text) Source #

The URI of the labeling job's user interface. Workers open this URI to start labeling your data objects.

workteam_productListingIds :: Lens' Workteam (Maybe [Text]) Source #

The Amazon Marketplace identifier for a vendor's work team.

workteam_notificationConfiguration :: Lens' Workteam (Maybe NotificationConfiguration) Source #

Configures SNS notifications of available or expiring work items for work teams.

workteam_createDate :: Lens' Workteam (Maybe UTCTime) Source #

The date and time that the work team was created (timestamp).

workteam_workforceArn :: Lens' Workteam (Maybe Text) Source #

The Amazon Resource Name (ARN) of the workforce.

workteam_lastUpdatedDate :: Lens' Workteam (Maybe UTCTime) Source #

The date and time that the work team was last updated (timestamp).

workteam_workteamName :: Lens' Workteam Text Source #

The name of the work team.

workteam_memberDefinitions :: Lens' Workteam (NonEmpty MemberDefinition) Source #

A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.

Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.

workteam_workteamArn :: Lens' Workteam Text Source #

The Amazon Resource Name (ARN) that identifies the work team.

workteam_description :: Lens' Workteam Text Source #

A description of the work team.