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.Personalize.Types

Contents

Service Configuration
Errors
IngestionMode
ObjectiveSensitivity
RecipeProvider
TrainingMode
Algorithm
AlgorithmImage
AutoMLConfig
AutoMLResult
BatchInferenceJob
BatchInferenceJobConfig
BatchInferenceJobInput
BatchInferenceJobOutput
BatchInferenceJobSummary
Campaign
CampaignConfig
CampaignSummary
CampaignUpdateSummary
CategoricalHyperParameterRange
ContinuousHyperParameterRange
DataSource
Dataset
DatasetExportJob
DatasetExportJobOutput
DatasetExportJobSummary
DatasetGroup
DatasetGroupSummary
DatasetImportJob
DatasetImportJobSummary
DatasetSchema
DatasetSchemaSummary
DatasetSummary
DefaultCategoricalHyperParameterRange
DefaultContinuousHyperParameterRange
DefaultHyperParameterRanges
DefaultIntegerHyperParameterRange
EventTracker
EventTrackerSummary
FeatureTransformation
Filter
FilterSummary
HPOConfig
HPOObjective
HPOResourceConfig
HyperParameterRanges
IntegerHyperParameterRange
OptimizationObjective
Recipe
RecipeSummary
S3DataConfig
Solution
SolutionConfig
SolutionSummary
SolutionVersion
SolutionVersionSummary
TunedHPOParams

Description

Synopsis

defaultService :: Service
_ResourceAlreadyExistsException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidNextTokenException :: AsError a => Getting (First ServiceError) a ServiceError
_InvalidInputException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError
_LimitExceededException :: AsError a => Getting (First ServiceError) a ServiceError
_ResourceInUseException :: AsError a => Getting (First ServiceError) a ServiceError
newtype IngestionMode where
- IngestionMode' {
  - fromIngestionMode :: Text
  }
- pattern IngestionMode_ALL :: IngestionMode
- pattern IngestionMode_BULK :: IngestionMode
- pattern IngestionMode_PUT :: IngestionMode
newtype ObjectiveSensitivity where
- ObjectiveSensitivity' {
  - fromObjectiveSensitivity :: Text
  }
- pattern ObjectiveSensitivity_HIGH :: ObjectiveSensitivity
- pattern ObjectiveSensitivity_LOW :: ObjectiveSensitivity
- pattern ObjectiveSensitivity_MEDIUM :: ObjectiveSensitivity
- pattern ObjectiveSensitivity_OFF :: ObjectiveSensitivity
newtype RecipeProvider where
- RecipeProvider' {
  - fromRecipeProvider :: Text
  }
- pattern RecipeProvider_SERVICE :: RecipeProvider
newtype TrainingMode where
- TrainingMode' {
  - fromTrainingMode :: Text
  }
- pattern TrainingMode_FULL :: TrainingMode
- pattern TrainingMode_UPDATE :: TrainingMode
data Algorithm = Algorithm' {
- defaultHyperParameters :: Maybe (HashMap Text Text)
- algorithmArn :: Maybe Text
- trainingInputMode :: Maybe Text
- defaultHyperParameterRanges :: Maybe DefaultHyperParameterRanges
- algorithmImage :: Maybe AlgorithmImage
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- defaultResourceConfig :: Maybe (HashMap Text Text)
- roleArn :: Maybe Text
}
newAlgorithm :: Algorithm
algorithm_defaultHyperParameters :: Lens' Algorithm (Maybe (HashMap Text Text))
algorithm_algorithmArn :: Lens' Algorithm (Maybe Text)
algorithm_trainingInputMode :: Lens' Algorithm (Maybe Text)
algorithm_defaultHyperParameterRanges :: Lens' Algorithm (Maybe DefaultHyperParameterRanges)
algorithm_algorithmImage :: Lens' Algorithm (Maybe AlgorithmImage)
algorithm_lastUpdatedDateTime :: Lens' Algorithm (Maybe UTCTime)
algorithm_name :: Lens' Algorithm (Maybe Text)
algorithm_creationDateTime :: Lens' Algorithm (Maybe UTCTime)
algorithm_defaultResourceConfig :: Lens' Algorithm (Maybe (HashMap Text Text))
algorithm_roleArn :: Lens' Algorithm (Maybe Text)
data AlgorithmImage = AlgorithmImage' {
- name :: Maybe Text
- dockerURI :: Text
}
newAlgorithmImage :: Text -> AlgorithmImage
algorithmImage_name :: Lens' AlgorithmImage (Maybe Text)
algorithmImage_dockerURI :: Lens' AlgorithmImage Text
data AutoMLConfig = AutoMLConfig' {
- recipeList :: Maybe [Text]
- metricName :: Maybe Text
}
newAutoMLConfig :: AutoMLConfig
autoMLConfig_recipeList :: Lens' AutoMLConfig (Maybe [Text])
autoMLConfig_metricName :: Lens' AutoMLConfig (Maybe Text)
data AutoMLResult = AutoMLResult' {
- bestRecipeArn :: Maybe Text
}
newAutoMLResult :: AutoMLResult
autoMLResult_bestRecipeArn :: Lens' AutoMLResult (Maybe Text)
data BatchInferenceJob = BatchInferenceJob' {
- failureReason :: Maybe Text
- status :: Maybe Text
- jobOutput :: Maybe BatchInferenceJobOutput
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- numResults :: Maybe Int
- batchInferenceJobConfig :: Maybe BatchInferenceJobConfig
- batchInferenceJobArn :: Maybe Text
- filterArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
- roleArn :: Maybe Text
- jobInput :: Maybe BatchInferenceJobInput
}
newBatchInferenceJob :: BatchInferenceJob
batchInferenceJob_failureReason :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_status :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_jobOutput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobOutput)
batchInferenceJob_jobName :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_lastUpdatedDateTime :: Lens' BatchInferenceJob (Maybe UTCTime)
batchInferenceJob_numResults :: Lens' BatchInferenceJob (Maybe Int)
batchInferenceJob_batchInferenceJobConfig :: Lens' BatchInferenceJob (Maybe BatchInferenceJobConfig)
batchInferenceJob_batchInferenceJobArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_filterArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_creationDateTime :: Lens' BatchInferenceJob (Maybe UTCTime)
batchInferenceJob_solutionVersionArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_roleArn :: Lens' BatchInferenceJob (Maybe Text)
batchInferenceJob_jobInput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobInput)
data BatchInferenceJobConfig = BatchInferenceJobConfig' {
- itemExplorationConfig :: Maybe (HashMap Text Text)
}
newBatchInferenceJobConfig :: BatchInferenceJobConfig
batchInferenceJobConfig_itemExplorationConfig :: Lens' BatchInferenceJobConfig (Maybe (HashMap Text Text))
data BatchInferenceJobInput = BatchInferenceJobInput' {
- s3DataSource :: S3DataConfig
}
newBatchInferenceJobInput :: S3DataConfig -> BatchInferenceJobInput
batchInferenceJobInput_s3DataSource :: Lens' BatchInferenceJobInput S3DataConfig
data BatchInferenceJobOutput = BatchInferenceJobOutput' {
- s3DataDestination :: S3DataConfig
}
newBatchInferenceJobOutput :: S3DataConfig -> BatchInferenceJobOutput
batchInferenceJobOutput_s3DataDestination :: Lens' BatchInferenceJobOutput S3DataConfig
data BatchInferenceJobSummary = BatchInferenceJobSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- batchInferenceJobArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
}
newBatchInferenceJobSummary :: BatchInferenceJobSummary
batchInferenceJobSummary_failureReason :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_status :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_jobName :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_lastUpdatedDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime)
batchInferenceJobSummary_batchInferenceJobArn :: Lens' BatchInferenceJobSummary (Maybe Text)
batchInferenceJobSummary_creationDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime)
batchInferenceJobSummary_solutionVersionArn :: Lens' BatchInferenceJobSummary (Maybe Text)
data Campaign = Campaign' {
- failureReason :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- campaignConfig :: Maybe CampaignConfig
- latestCampaignUpdate :: Maybe CampaignUpdateSummary
- name :: Maybe Text
- minProvisionedTPS :: Maybe Natural
- creationDateTime :: Maybe POSIX
- campaignArn :: Maybe Text
- solutionVersionArn :: Maybe Text
}
newCampaign :: Campaign
campaign_failureReason :: Lens' Campaign (Maybe Text)
campaign_status :: Lens' Campaign (Maybe Text)
campaign_lastUpdatedDateTime :: Lens' Campaign (Maybe UTCTime)
campaign_campaignConfig :: Lens' Campaign (Maybe CampaignConfig)
campaign_latestCampaignUpdate :: Lens' Campaign (Maybe CampaignUpdateSummary)
campaign_name :: Lens' Campaign (Maybe Text)
campaign_minProvisionedTPS :: Lens' Campaign (Maybe Natural)
campaign_creationDateTime :: Lens' Campaign (Maybe UTCTime)
campaign_campaignArn :: Lens' Campaign (Maybe Text)
campaign_solutionVersionArn :: Lens' Campaign (Maybe Text)
data CampaignConfig = CampaignConfig' {
- itemExplorationConfig :: Maybe (HashMap Text Text)
}
newCampaignConfig :: CampaignConfig
campaignConfig_itemExplorationConfig :: Lens' CampaignConfig (Maybe (HashMap Text Text))
data CampaignSummary = CampaignSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- campaignArn :: Maybe Text
}
newCampaignSummary :: CampaignSummary
campaignSummary_failureReason :: Lens' CampaignSummary (Maybe Text)
campaignSummary_status :: Lens' CampaignSummary (Maybe Text)
campaignSummary_lastUpdatedDateTime :: Lens' CampaignSummary (Maybe UTCTime)
campaignSummary_name :: Lens' CampaignSummary (Maybe Text)
campaignSummary_creationDateTime :: Lens' CampaignSummary (Maybe UTCTime)
campaignSummary_campaignArn :: Lens' CampaignSummary (Maybe Text)
data CampaignUpdateSummary = CampaignUpdateSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- campaignConfig :: Maybe CampaignConfig
- minProvisionedTPS :: Maybe Natural
- creationDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
}
newCampaignUpdateSummary :: CampaignUpdateSummary
campaignUpdateSummary_failureReason :: Lens' CampaignUpdateSummary (Maybe Text)
campaignUpdateSummary_status :: Lens' CampaignUpdateSummary (Maybe Text)
campaignUpdateSummary_lastUpdatedDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime)
campaignUpdateSummary_campaignConfig :: Lens' CampaignUpdateSummary (Maybe CampaignConfig)
campaignUpdateSummary_minProvisionedTPS :: Lens' CampaignUpdateSummary (Maybe Natural)
campaignUpdateSummary_creationDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime)
campaignUpdateSummary_solutionVersionArn :: Lens' CampaignUpdateSummary (Maybe Text)
data CategoricalHyperParameterRange = CategoricalHyperParameterRange' {
- values :: Maybe [Text]
- name :: Maybe Text
}
newCategoricalHyperParameterRange :: CategoricalHyperParameterRange
categoricalHyperParameterRange_values :: Lens' CategoricalHyperParameterRange (Maybe [Text])
categoricalHyperParameterRange_name :: Lens' CategoricalHyperParameterRange (Maybe Text)
data ContinuousHyperParameterRange = ContinuousHyperParameterRange' {
- maxValue :: Maybe Double
- name :: Maybe Text
- minValue :: Maybe Double
}
newContinuousHyperParameterRange :: ContinuousHyperParameterRange
continuousHyperParameterRange_maxValue :: Lens' ContinuousHyperParameterRange (Maybe Double)
continuousHyperParameterRange_name :: Lens' ContinuousHyperParameterRange (Maybe Text)
continuousHyperParameterRange_minValue :: Lens' ContinuousHyperParameterRange (Maybe Double)
data DataSource = DataSource' {
- dataLocation :: Maybe Text
}
newDataSource :: DataSource
dataSource_dataLocation :: Lens' DataSource (Maybe Text)
data Dataset = Dataset' {
- status :: Maybe Text
- datasetArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- schemaArn :: Maybe Text
- name :: Maybe Text
- datasetType :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
}
newDataset :: Dataset
dataset_status :: Lens' Dataset (Maybe Text)
dataset_datasetArn :: Lens' Dataset (Maybe Text)
dataset_lastUpdatedDateTime :: Lens' Dataset (Maybe UTCTime)
dataset_schemaArn :: Lens' Dataset (Maybe Text)
dataset_name :: Lens' Dataset (Maybe Text)
dataset_datasetType :: Lens' Dataset (Maybe Text)
dataset_creationDateTime :: Lens' Dataset (Maybe UTCTime)
dataset_datasetGroupArn :: Lens' Dataset (Maybe Text)
data DatasetExportJob = DatasetExportJob' {
- failureReason :: Maybe Text
- status :: Maybe Text
- datasetExportJobArn :: Maybe Text
- datasetArn :: Maybe Text
- jobOutput :: Maybe DatasetExportJobOutput
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- ingestionMode :: Maybe IngestionMode
- creationDateTime :: Maybe POSIX
- roleArn :: Maybe Text
}
newDatasetExportJob :: DatasetExportJob
datasetExportJob_failureReason :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_status :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_datasetExportJobArn :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_datasetArn :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_jobOutput :: Lens' DatasetExportJob (Maybe DatasetExportJobOutput)
datasetExportJob_jobName :: Lens' DatasetExportJob (Maybe Text)
datasetExportJob_lastUpdatedDateTime :: Lens' DatasetExportJob (Maybe UTCTime)
datasetExportJob_ingestionMode :: Lens' DatasetExportJob (Maybe IngestionMode)
datasetExportJob_creationDateTime :: Lens' DatasetExportJob (Maybe UTCTime)
datasetExportJob_roleArn :: Lens' DatasetExportJob (Maybe Text)
data DatasetExportJobOutput = DatasetExportJobOutput' {
- s3DataDestination :: S3DataConfig
}
newDatasetExportJobOutput :: S3DataConfig -> DatasetExportJobOutput
datasetExportJobOutput_s3DataDestination :: Lens' DatasetExportJobOutput S3DataConfig
data DatasetExportJobSummary = DatasetExportJobSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- datasetExportJobArn :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- creationDateTime :: Maybe POSIX
}
newDatasetExportJobSummary :: DatasetExportJobSummary
datasetExportJobSummary_failureReason :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_status :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_datasetExportJobArn :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_jobName :: Lens' DatasetExportJobSummary (Maybe Text)
datasetExportJobSummary_lastUpdatedDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime)
datasetExportJobSummary_creationDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime)
data DatasetGroup = DatasetGroup' {
- failureReason :: Maybe Text
- status :: Maybe Text
- kmsKeyArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- roleArn :: Maybe Text
}
newDatasetGroup :: DatasetGroup
datasetGroup_failureReason :: Lens' DatasetGroup (Maybe Text)
datasetGroup_status :: Lens' DatasetGroup (Maybe Text)
datasetGroup_kmsKeyArn :: Lens' DatasetGroup (Maybe Text)
datasetGroup_lastUpdatedDateTime :: Lens' DatasetGroup (Maybe UTCTime)
datasetGroup_name :: Lens' DatasetGroup (Maybe Text)
datasetGroup_creationDateTime :: Lens' DatasetGroup (Maybe UTCTime)
datasetGroup_datasetGroupArn :: Lens' DatasetGroup (Maybe Text)
datasetGroup_roleArn :: Lens' DatasetGroup (Maybe Text)
data DatasetGroupSummary = DatasetGroupSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
}
newDatasetGroupSummary :: DatasetGroupSummary
datasetGroupSummary_failureReason :: Lens' DatasetGroupSummary (Maybe Text)
datasetGroupSummary_status :: Lens' DatasetGroupSummary (Maybe Text)
datasetGroupSummary_lastUpdatedDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime)
datasetGroupSummary_name :: Lens' DatasetGroupSummary (Maybe Text)
datasetGroupSummary_creationDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime)
datasetGroupSummary_datasetGroupArn :: Lens' DatasetGroupSummary (Maybe Text)
data DatasetImportJob = DatasetImportJob' {
- failureReason :: Maybe Text
- status :: Maybe Text
- datasetArn :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- datasetImportJobArn :: Maybe Text
- dataSource :: Maybe DataSource
- creationDateTime :: Maybe POSIX
- roleArn :: Maybe Text
}
newDatasetImportJob :: DatasetImportJob
datasetImportJob_failureReason :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_status :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_datasetArn :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_jobName :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_lastUpdatedDateTime :: Lens' DatasetImportJob (Maybe UTCTime)
datasetImportJob_datasetImportJobArn :: Lens' DatasetImportJob (Maybe Text)
datasetImportJob_dataSource :: Lens' DatasetImportJob (Maybe DataSource)
datasetImportJob_creationDateTime :: Lens' DatasetImportJob (Maybe UTCTime)
datasetImportJob_roleArn :: Lens' DatasetImportJob (Maybe Text)
data DatasetImportJobSummary = DatasetImportJobSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- jobName :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- datasetImportJobArn :: Maybe Text
- creationDateTime :: Maybe POSIX
}
newDatasetImportJobSummary :: DatasetImportJobSummary
datasetImportJobSummary_failureReason :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_status :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_jobName :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_lastUpdatedDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime)
datasetImportJobSummary_datasetImportJobArn :: Lens' DatasetImportJobSummary (Maybe Text)
datasetImportJobSummary_creationDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime)
data DatasetSchema = DatasetSchema' {
- lastUpdatedDateTime :: Maybe POSIX
- schema :: Maybe Text
- schemaArn :: Maybe Text
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
}
newDatasetSchema :: DatasetSchema
datasetSchema_lastUpdatedDateTime :: Lens' DatasetSchema (Maybe UTCTime)
datasetSchema_schema :: Lens' DatasetSchema (Maybe Text)
datasetSchema_schemaArn :: Lens' DatasetSchema (Maybe Text)
datasetSchema_name :: Lens' DatasetSchema (Maybe Text)
datasetSchema_creationDateTime :: Lens' DatasetSchema (Maybe UTCTime)
data DatasetSchemaSummary = DatasetSchemaSummary' {
- lastUpdatedDateTime :: Maybe POSIX
- schemaArn :: Maybe Text
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
}
newDatasetSchemaSummary :: DatasetSchemaSummary
datasetSchemaSummary_lastUpdatedDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime)
datasetSchemaSummary_schemaArn :: Lens' DatasetSchemaSummary (Maybe Text)
datasetSchemaSummary_name :: Lens' DatasetSchemaSummary (Maybe Text)
datasetSchemaSummary_creationDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime)
data DatasetSummary = DatasetSummary' {
- status :: Maybe Text
- datasetArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- datasetType :: Maybe Text
- creationDateTime :: Maybe POSIX
}
newDatasetSummary :: DatasetSummary
datasetSummary_status :: Lens' DatasetSummary (Maybe Text)
datasetSummary_datasetArn :: Lens' DatasetSummary (Maybe Text)
datasetSummary_lastUpdatedDateTime :: Lens' DatasetSummary (Maybe UTCTime)
datasetSummary_name :: Lens' DatasetSummary (Maybe Text)
datasetSummary_datasetType :: Lens' DatasetSummary (Maybe Text)
datasetSummary_creationDateTime :: Lens' DatasetSummary (Maybe UTCTime)
data DefaultCategoricalHyperParameterRange = DefaultCategoricalHyperParameterRange' {
- isTunable :: Maybe Bool
- values :: Maybe [Text]
- name :: Maybe Text
}
newDefaultCategoricalHyperParameterRange :: DefaultCategoricalHyperParameterRange
defaultCategoricalHyperParameterRange_isTunable :: Lens' DefaultCategoricalHyperParameterRange (Maybe Bool)
defaultCategoricalHyperParameterRange_values :: Lens' DefaultCategoricalHyperParameterRange (Maybe [Text])
defaultCategoricalHyperParameterRange_name :: Lens' DefaultCategoricalHyperParameterRange (Maybe Text)
data DefaultContinuousHyperParameterRange = DefaultContinuousHyperParameterRange' {
- maxValue :: Maybe Double
- isTunable :: Maybe Bool
- name :: Maybe Text
- minValue :: Maybe Double
}
newDefaultContinuousHyperParameterRange :: DefaultContinuousHyperParameterRange
defaultContinuousHyperParameterRange_maxValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double)
defaultContinuousHyperParameterRange_isTunable :: Lens' DefaultContinuousHyperParameterRange (Maybe Bool)
defaultContinuousHyperParameterRange_name :: Lens' DefaultContinuousHyperParameterRange (Maybe Text)
defaultContinuousHyperParameterRange_minValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double)
data DefaultHyperParameterRanges = DefaultHyperParameterRanges' {
- integerHyperParameterRanges :: Maybe [DefaultIntegerHyperParameterRange]
- categoricalHyperParameterRanges :: Maybe [DefaultCategoricalHyperParameterRange]
- continuousHyperParameterRanges :: Maybe [DefaultContinuousHyperParameterRange]
}
newDefaultHyperParameterRanges :: DefaultHyperParameterRanges
defaultHyperParameterRanges_integerHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultIntegerHyperParameterRange])
defaultHyperParameterRanges_categoricalHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultCategoricalHyperParameterRange])
defaultHyperParameterRanges_continuousHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultContinuousHyperParameterRange])
data DefaultIntegerHyperParameterRange = DefaultIntegerHyperParameterRange' {
- maxValue :: Maybe Int
- isTunable :: Maybe Bool
- name :: Maybe Text
- minValue :: Maybe Int
}
newDefaultIntegerHyperParameterRange :: DefaultIntegerHyperParameterRange
defaultIntegerHyperParameterRange_maxValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int)
defaultIntegerHyperParameterRange_isTunable :: Lens' DefaultIntegerHyperParameterRange (Maybe Bool)
defaultIntegerHyperParameterRange_name :: Lens' DefaultIntegerHyperParameterRange (Maybe Text)
defaultIntegerHyperParameterRange_minValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int)
data EventTracker = EventTracker' {
- status :: Maybe Text
- trackingId :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- accountId :: Maybe Text
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- eventTrackerArn :: Maybe Text
}
newEventTracker :: EventTracker
eventTracker_status :: Lens' EventTracker (Maybe Text)
eventTracker_trackingId :: Lens' EventTracker (Maybe Text)
eventTracker_lastUpdatedDateTime :: Lens' EventTracker (Maybe UTCTime)
eventTracker_accountId :: Lens' EventTracker (Maybe Text)
eventTracker_name :: Lens' EventTracker (Maybe Text)
eventTracker_creationDateTime :: Lens' EventTracker (Maybe UTCTime)
eventTracker_datasetGroupArn :: Lens' EventTracker (Maybe Text)
eventTracker_eventTrackerArn :: Lens' EventTracker (Maybe Text)
data EventTrackerSummary = EventTrackerSummary' {
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- eventTrackerArn :: Maybe Text
}
newEventTrackerSummary :: EventTrackerSummary
eventTrackerSummary_status :: Lens' EventTrackerSummary (Maybe Text)
eventTrackerSummary_lastUpdatedDateTime :: Lens' EventTrackerSummary (Maybe UTCTime)
eventTrackerSummary_name :: Lens' EventTrackerSummary (Maybe Text)
eventTrackerSummary_creationDateTime :: Lens' EventTrackerSummary (Maybe UTCTime)
eventTrackerSummary_eventTrackerArn :: Lens' EventTrackerSummary (Maybe Text)
data FeatureTransformation = FeatureTransformation' {
- status :: Maybe Text
- featureTransformationArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- defaultParameters :: Maybe (HashMap Text Text)
}
newFeatureTransformation :: FeatureTransformation
featureTransformation_status :: Lens' FeatureTransformation (Maybe Text)
featureTransformation_featureTransformationArn :: Lens' FeatureTransformation (Maybe Text)
featureTransformation_lastUpdatedDateTime :: Lens' FeatureTransformation (Maybe UTCTime)
featureTransformation_name :: Lens' FeatureTransformation (Maybe Text)
featureTransformation_creationDateTime :: Lens' FeatureTransformation (Maybe UTCTime)
featureTransformation_defaultParameters :: Lens' FeatureTransformation (Maybe (HashMap Text Text))
data Filter = Filter' {
- failureReason :: Maybe Text
- status :: Maybe Text
- filterExpression :: Maybe (Sensitive Text)
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- filterArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
}
newFilter :: Filter
filter_failureReason :: Lens' Filter (Maybe Text)
filter_status :: Lens' Filter (Maybe Text)
filter_filterExpression :: Lens' Filter (Maybe Text)
filter_lastUpdatedDateTime :: Lens' Filter (Maybe UTCTime)
filter_name :: Lens' Filter (Maybe Text)
filter_filterArn :: Lens' Filter (Maybe Text)
filter_creationDateTime :: Lens' Filter (Maybe UTCTime)
filter_datasetGroupArn :: Lens' Filter (Maybe Text)
data FilterSummary = FilterSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- filterArn :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
}
newFilterSummary :: FilterSummary
filterSummary_failureReason :: Lens' FilterSummary (Maybe Text)
filterSummary_status :: Lens' FilterSummary (Maybe Text)
filterSummary_lastUpdatedDateTime :: Lens' FilterSummary (Maybe UTCTime)
filterSummary_name :: Lens' FilterSummary (Maybe Text)
filterSummary_filterArn :: Lens' FilterSummary (Maybe Text)
filterSummary_creationDateTime :: Lens' FilterSummary (Maybe UTCTime)
filterSummary_datasetGroupArn :: Lens' FilterSummary (Maybe Text)
data HPOConfig = HPOConfig' {
- algorithmHyperParameterRanges :: Maybe HyperParameterRanges
- hpoResourceConfig :: Maybe HPOResourceConfig
- hpoObjective :: Maybe HPOObjective
}
newHPOConfig :: HPOConfig
hPOConfig_algorithmHyperParameterRanges :: Lens' HPOConfig (Maybe HyperParameterRanges)
hPOConfig_hpoResourceConfig :: Lens' HPOConfig (Maybe HPOResourceConfig)
hPOConfig_hpoObjective :: Lens' HPOConfig (Maybe HPOObjective)
data HPOObjective = HPOObjective' {
- metricName :: Maybe Text
- type' :: Maybe Text
- metricRegex :: Maybe Text
}
newHPOObjective :: HPOObjective
hPOObjective_metricName :: Lens' HPOObjective (Maybe Text)
hPOObjective_type :: Lens' HPOObjective (Maybe Text)
hPOObjective_metricRegex :: Lens' HPOObjective (Maybe Text)
data HPOResourceConfig = HPOResourceConfig' {
- maxNumberOfTrainingJobs :: Maybe Text
- maxParallelTrainingJobs :: Maybe Text
}
newHPOResourceConfig :: HPOResourceConfig
hPOResourceConfig_maxNumberOfTrainingJobs :: Lens' HPOResourceConfig (Maybe Text)
hPOResourceConfig_maxParallelTrainingJobs :: Lens' HPOResourceConfig (Maybe Text)
data HyperParameterRanges = HyperParameterRanges' {
- integerHyperParameterRanges :: Maybe [IntegerHyperParameterRange]
- categoricalHyperParameterRanges :: Maybe [CategoricalHyperParameterRange]
- continuousHyperParameterRanges :: Maybe [ContinuousHyperParameterRange]
}
newHyperParameterRanges :: HyperParameterRanges
hyperParameterRanges_integerHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [IntegerHyperParameterRange])
hyperParameterRanges_categoricalHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [CategoricalHyperParameterRange])
hyperParameterRanges_continuousHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [ContinuousHyperParameterRange])
data IntegerHyperParameterRange = IntegerHyperParameterRange' {
- maxValue :: Maybe Int
- name :: Maybe Text
- minValue :: Maybe Int
}
newIntegerHyperParameterRange :: IntegerHyperParameterRange
integerHyperParameterRange_maxValue :: Lens' IntegerHyperParameterRange (Maybe Int)
integerHyperParameterRange_name :: Lens' IntegerHyperParameterRange (Maybe Text)
integerHyperParameterRange_minValue :: Lens' IntegerHyperParameterRange (Maybe Int)
data OptimizationObjective = OptimizationObjective' {
- itemAttribute :: Maybe Text
- objectiveSensitivity :: Maybe ObjectiveSensitivity
}
newOptimizationObjective :: OptimizationObjective
optimizationObjective_itemAttribute :: Lens' OptimizationObjective (Maybe Text)
optimizationObjective_objectiveSensitivity :: Lens' OptimizationObjective (Maybe ObjectiveSensitivity)
data Recipe = Recipe' {
- status :: Maybe Text
- algorithmArn :: Maybe Text
- recipeArn :: Maybe Text
- featureTransformationArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
- recipeType :: Maybe Text
- description :: Maybe Text
}
newRecipe :: Recipe
recipe_status :: Lens' Recipe (Maybe Text)
recipe_algorithmArn :: Lens' Recipe (Maybe Text)
recipe_recipeArn :: Lens' Recipe (Maybe Text)
recipe_featureTransformationArn :: Lens' Recipe (Maybe Text)
recipe_lastUpdatedDateTime :: Lens' Recipe (Maybe UTCTime)
recipe_name :: Lens' Recipe (Maybe Text)
recipe_creationDateTime :: Lens' Recipe (Maybe UTCTime)
recipe_recipeType :: Lens' Recipe (Maybe Text)
recipe_description :: Lens' Recipe (Maybe Text)
data RecipeSummary = RecipeSummary' {
- status :: Maybe Text
- recipeArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
}
newRecipeSummary :: RecipeSummary
recipeSummary_status :: Lens' RecipeSummary (Maybe Text)
recipeSummary_recipeArn :: Lens' RecipeSummary (Maybe Text)
recipeSummary_lastUpdatedDateTime :: Lens' RecipeSummary (Maybe UTCTime)
recipeSummary_name :: Lens' RecipeSummary (Maybe Text)
recipeSummary_creationDateTime :: Lens' RecipeSummary (Maybe UTCTime)
data S3DataConfig = S3DataConfig' {
- kmsKeyArn :: Maybe Text
- path :: Text
}
newS3DataConfig :: Text -> S3DataConfig
s3DataConfig_kmsKeyArn :: Lens' S3DataConfig (Maybe Text)
s3DataConfig_path :: Lens' S3DataConfig Text
data Solution = Solution' {
- solutionArn :: Maybe Text
- status :: Maybe Text
- performAutoML :: Maybe Bool
- recipeArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- eventType :: Maybe Text
- name :: Maybe Text
- autoMLResult :: Maybe AutoMLResult
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- latestSolutionVersion :: Maybe SolutionVersionSummary
- solutionConfig :: Maybe SolutionConfig
- performHPO :: Maybe Bool
}
newSolution :: Solution
solution_solutionArn :: Lens' Solution (Maybe Text)
solution_status :: Lens' Solution (Maybe Text)
solution_performAutoML :: Lens' Solution (Maybe Bool)
solution_recipeArn :: Lens' Solution (Maybe Text)
solution_lastUpdatedDateTime :: Lens' Solution (Maybe UTCTime)
solution_eventType :: Lens' Solution (Maybe Text)
solution_name :: Lens' Solution (Maybe Text)
solution_autoMLResult :: Lens' Solution (Maybe AutoMLResult)
solution_creationDateTime :: Lens' Solution (Maybe UTCTime)
solution_datasetGroupArn :: Lens' Solution (Maybe Text)
solution_latestSolutionVersion :: Lens' Solution (Maybe SolutionVersionSummary)
solution_solutionConfig :: Lens' Solution (Maybe SolutionConfig)
solution_performHPO :: Lens' Solution (Maybe Bool)
data SolutionConfig = SolutionConfig' {
- featureTransformationParameters :: Maybe (HashMap Text Text)
- hpoConfig :: Maybe HPOConfig
- eventValueThreshold :: Maybe Text
- autoMLConfig :: Maybe AutoMLConfig
- algorithmHyperParameters :: Maybe (HashMap Text Text)
- optimizationObjective :: Maybe OptimizationObjective
}
newSolutionConfig :: SolutionConfig
solutionConfig_featureTransformationParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text))
solutionConfig_hpoConfig :: Lens' SolutionConfig (Maybe HPOConfig)
solutionConfig_eventValueThreshold :: Lens' SolutionConfig (Maybe Text)
solutionConfig_autoMLConfig :: Lens' SolutionConfig (Maybe AutoMLConfig)
solutionConfig_algorithmHyperParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text))
solutionConfig_optimizationObjective :: Lens' SolutionConfig (Maybe OptimizationObjective)
data SolutionSummary = SolutionSummary' {
- solutionArn :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- name :: Maybe Text
- creationDateTime :: Maybe POSIX
}
newSolutionSummary :: SolutionSummary
solutionSummary_solutionArn :: Lens' SolutionSummary (Maybe Text)
solutionSummary_status :: Lens' SolutionSummary (Maybe Text)
solutionSummary_lastUpdatedDateTime :: Lens' SolutionSummary (Maybe UTCTime)
solutionSummary_name :: Lens' SolutionSummary (Maybe Text)
solutionSummary_creationDateTime :: Lens' SolutionSummary (Maybe UTCTime)
data SolutionVersion = SolutionVersion' {
- failureReason :: Maybe Text
- solutionArn :: Maybe Text
- status :: Maybe Text
- performAutoML :: Maybe Bool
- tunedHPOParams :: Maybe TunedHPOParams
- recipeArn :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- eventType :: Maybe Text
- creationDateTime :: Maybe POSIX
- datasetGroupArn :: Maybe Text
- trainingMode :: Maybe TrainingMode
- trainingHours :: Maybe Double
- solutionConfig :: Maybe SolutionConfig
- performHPO :: Maybe Bool
- solutionVersionArn :: Maybe Text
}
newSolutionVersion :: SolutionVersion
solutionVersion_failureReason :: Lens' SolutionVersion (Maybe Text)
solutionVersion_solutionArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_status :: Lens' SolutionVersion (Maybe Text)
solutionVersion_performAutoML :: Lens' SolutionVersion (Maybe Bool)
solutionVersion_tunedHPOParams :: Lens' SolutionVersion (Maybe TunedHPOParams)
solutionVersion_recipeArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_lastUpdatedDateTime :: Lens' SolutionVersion (Maybe UTCTime)
solutionVersion_eventType :: Lens' SolutionVersion (Maybe Text)
solutionVersion_creationDateTime :: Lens' SolutionVersion (Maybe UTCTime)
solutionVersion_datasetGroupArn :: Lens' SolutionVersion (Maybe Text)
solutionVersion_trainingMode :: Lens' SolutionVersion (Maybe TrainingMode)
solutionVersion_trainingHours :: Lens' SolutionVersion (Maybe Double)
solutionVersion_solutionConfig :: Lens' SolutionVersion (Maybe SolutionConfig)
solutionVersion_performHPO :: Lens' SolutionVersion (Maybe Bool)
solutionVersion_solutionVersionArn :: Lens' SolutionVersion (Maybe Text)
data SolutionVersionSummary = SolutionVersionSummary' {
- failureReason :: Maybe Text
- status :: Maybe Text
- lastUpdatedDateTime :: Maybe POSIX
- creationDateTime :: Maybe POSIX
- solutionVersionArn :: Maybe Text
}
newSolutionVersionSummary :: SolutionVersionSummary
solutionVersionSummary_failureReason :: Lens' SolutionVersionSummary (Maybe Text)
solutionVersionSummary_status :: Lens' SolutionVersionSummary (Maybe Text)
solutionVersionSummary_lastUpdatedDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime)
solutionVersionSummary_creationDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime)
solutionVersionSummary_solutionVersionArn :: Lens' SolutionVersionSummary (Maybe Text)
data TunedHPOParams = TunedHPOParams' {
- algorithmHyperParameters :: Maybe (HashMap Text Text)
}
newTunedHPOParams :: TunedHPOParams
tunedHPOParams_algorithmHyperParameters :: Lens' TunedHPOParams (Maybe (HashMap Text Text))

Service Configuration

defaultService :: Service Source #

API version 2018-05-22 of the Amazon Personalize SDK configuration.

Errors

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

The specified resource already exists.

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

The token is not valid.

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

Provide a valid value for the field or parameter.

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

Could not find the specified resource.

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

The limit on the number of requests per second has been exceeded.

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

The specified resource is in use.

IngestionMode

newtype IngestionMode Source #

Constructors

IngestionMode'
Fields fromIngestionMode :: Text

Bundled Patterns

pattern IngestionMode_ALL :: IngestionMode
pattern IngestionMode_BULK :: IngestionMode
pattern IngestionMode_PUT :: IngestionMode

Instances

Instances details

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

ObjectiveSensitivity

newtype ObjectiveSensitivity Source #

Constructors

ObjectiveSensitivity'
Fields fromObjectiveSensitivity :: Text

Bundled Patterns

pattern ObjectiveSensitivity_HIGH :: ObjectiveSensitivity
pattern ObjectiveSensitivity_LOW :: ObjectiveSensitivity
pattern ObjectiveSensitivity_MEDIUM :: ObjectiveSensitivity
pattern ObjectiveSensitivity_OFF :: ObjectiveSensitivity

Instances

Instances details

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

RecipeProvider

newtype RecipeProvider Source #

Constructors

RecipeProvider'
Fields fromRecipeProvider :: Text

Bundled Patterns

pattern RecipeProvider_SERVICE :: RecipeProvider

Instances

Instances details

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

TrainingMode

newtype TrainingMode Source #

Constructors

TrainingMode'
Fields fromTrainingMode :: Text

Bundled Patterns

pattern TrainingMode_FULL :: TrainingMode
pattern TrainingMode_UPDATE :: TrainingMode

Instances

Instances details

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

Algorithm

data Algorithm Source #

Describes a custom algorithm.

See: newAlgorithm smart constructor.

Constructors

Algorithm'

Fields

defaultHyperParameters :: Maybe (HashMap Text Text)
Specifies the default hyperparameters.
algorithmArn :: Maybe Text
The Amazon Resource Name (ARN) of the algorithm.
trainingInputMode :: Maybe Text
The training input mode.
defaultHyperParameterRanges :: Maybe DefaultHyperParameterRanges
Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).
algorithmImage :: Maybe AlgorithmImage
The URI of the Docker container for the algorithm image.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the algorithm was last updated.
name :: Maybe Text
The name of the algorithm.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the algorithm was created.
defaultResourceConfig :: Maybe (HashMap Text Text)
Specifies the default maximum number of training jobs and parallel training jobs.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) of the role.

Instances

Instances details

Eq Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods (==) :: Algorithm -> Algorithm -> Bool # (/=) :: Algorithm -> Algorithm -> Bool #
Read Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods readsPrec :: Int -> ReadS Algorithm # readList :: ReadS [Algorithm] # readPrec :: ReadPrec Algorithm # readListPrec :: ReadPrec [Algorithm] #
Show Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods showsPrec :: Int -> Algorithm -> ShowS # show :: Algorithm -> String # showList :: [Algorithm] -> ShowS #
Generic Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Associated Types type Rep Algorithm :: Type -> Type # Methods from :: Algorithm -> Rep Algorithm x # to :: Rep Algorithm x -> Algorithm #
NFData Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods rnf :: Algorithm -> () #
Hashable Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods hashWithSalt :: Int -> Algorithm -> Int # hash :: Algorithm -> Int #
FromJSON Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm Methods parseJSON :: Value -> Parser Algorithm # parseJSONList :: Value -> Parser [Algorithm] #
type Rep Algorithm Source #
Instance details Defined in Amazonka.Personalize.Types.Algorithm type Rep Algorithm = D1 ('MetaData "Algorithm" "Amazonka.Personalize.Types.Algorithm" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "Algorithm'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "defaultHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "defaultHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DefaultHyperParameterRanges)) :: S1 ('MetaSel ('Just "algorithmImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AlgorithmImage))))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "defaultResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newAlgorithm :: Algorithm Source #

Create a value of Algorithm with all optional fields omitted.

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

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

$sel:defaultHyperParameters:Algorithm', algorithm_defaultHyperParameters - Specifies the default hyperparameters.

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

$sel:trainingInputMode:Algorithm', algorithm_trainingInputMode - The training input mode.

$sel:defaultHyperParameterRanges:Algorithm', algorithm_defaultHyperParameterRanges - Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

$sel:algorithmImage:Algorithm', algorithm_algorithmImage - The URI of the Docker container for the algorithm image.

$sel:lastUpdatedDateTime:Algorithm', algorithm_lastUpdatedDateTime - The date and time (in Unix time) that the algorithm was last updated.

$sel:name:Algorithm', algorithm_name - The name of the algorithm.

$sel:creationDateTime:Algorithm', algorithm_creationDateTime - The date and time (in Unix time) that the algorithm was created.

$sel:defaultResourceConfig:Algorithm', algorithm_defaultResourceConfig - Specifies the default maximum number of training jobs and parallel training jobs.

$sel:roleArn:Algorithm', algorithm_roleArn - The Amazon Resource Name (ARN) of the role.

algorithm_defaultHyperParameters :: Lens' Algorithm (Maybe (HashMap Text Text)) Source #

Specifies the default hyperparameters.

algorithm_algorithmArn :: Lens' Algorithm (Maybe Text) Source #

The Amazon Resource Name (ARN) of the algorithm.

algorithm_trainingInputMode :: Lens' Algorithm (Maybe Text) Source #

The training input mode.

algorithm_defaultHyperParameterRanges :: Lens' Algorithm (Maybe DefaultHyperParameterRanges) Source #

Specifies the default hyperparameters, their ranges, and whether they are tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

algorithm_algorithmImage :: Lens' Algorithm (Maybe AlgorithmImage) Source #

The URI of the Docker container for the algorithm image.

algorithm_lastUpdatedDateTime :: Lens' Algorithm (Maybe UTCTime) Source #

The date and time (in Unix time) that the algorithm was last updated.

algorithm_name :: Lens' Algorithm (Maybe Text) Source #

The name of the algorithm.

algorithm_creationDateTime :: Lens' Algorithm (Maybe UTCTime) Source #

The date and time (in Unix time) that the algorithm was created.

algorithm_defaultResourceConfig :: Lens' Algorithm (Maybe (HashMap Text Text)) Source #

Specifies the default maximum number of training jobs and parallel training jobs.

algorithm_roleArn :: Lens' Algorithm (Maybe Text) Source #

The Amazon Resource Name (ARN) of the role.

AlgorithmImage

data AlgorithmImage Source #

Describes an algorithm image.

See: newAlgorithmImage smart constructor.

Constructors

AlgorithmImage'
Fields name :: Maybe Text The name of the algorithm image. dockerURI :: Text The URI of the Docker container for the algorithm image.

Instances

Instances details

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

newAlgorithmImage Source #

Arguments

:: Text	`$sel:dockerURI:AlgorithmImage'`
-> AlgorithmImage

Create a value of AlgorithmImage with all optional fields omitted.

Use 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:AlgorithmImage', algorithmImage_name - The name of the algorithm image.

$sel:dockerURI:AlgorithmImage', algorithmImage_dockerURI - The URI of the Docker container for the algorithm image.

algorithmImage_name :: Lens' AlgorithmImage (Maybe Text) Source #

The name of the algorithm image.

algorithmImage_dockerURI :: Lens' AlgorithmImage Text Source #

The URI of the Docker container for the algorithm image.

AutoMLConfig

data AutoMLConfig Source #

When the solution performs AutoML (performAutoML is true in CreateSolution), Amazon Personalize determines which recipe, from the specified list, optimizes the given metric. Amazon Personalize then uses that recipe for the solution.

See: newAutoMLConfig smart constructor.

Constructors

AutoMLConfig'
Fields recipeList :: Maybe [Text] The list of candidate recipes. metricName :: Maybe Text The metric to optimize.

Instances

Instances details

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

newAutoMLConfig :: AutoMLConfig Source #

Create a value of AutoMLConfig with all optional fields omitted.

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

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

$sel:recipeList:AutoMLConfig', autoMLConfig_recipeList - The list of candidate recipes.

$sel:metricName:AutoMLConfig', autoMLConfig_metricName - The metric to optimize.

autoMLConfig_recipeList :: Lens' AutoMLConfig (Maybe [Text]) Source #

The list of candidate recipes.

autoMLConfig_metricName :: Lens' AutoMLConfig (Maybe Text) Source #

The metric to optimize.

AutoMLResult

data AutoMLResult Source #

When the solution performs AutoML (performAutoML is true in CreateSolution), specifies the recipe that best optimized the specified metric.

See: newAutoMLResult smart constructor.

Constructors

AutoMLResult'
Fields bestRecipeArn :: Maybe Text The Amazon Resource Name (ARN) of the best recipe.

Instances

Instances details

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

newAutoMLResult :: AutoMLResult Source #

Create a value of AutoMLResult with all optional fields omitted.

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

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

$sel:bestRecipeArn:AutoMLResult', autoMLResult_bestRecipeArn - The Amazon Resource Name (ARN) of the best recipe.

autoMLResult_bestRecipeArn :: Lens' AutoMLResult (Maybe Text) Source #

The Amazon Resource Name (ARN) of the best recipe.

BatchInferenceJob

data BatchInferenceJob Source #

Contains information on a batch inference job.

See: newBatchInferenceJob smart constructor.

Constructors

BatchInferenceJob'

Fields

failureReason :: Maybe Text
If the batch inference job failed, the reason for the failure.
status :: Maybe Text
The status of the batch inference job. The status is one of the following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED
jobOutput :: Maybe BatchInferenceJobOutput
The Amazon S3 bucket that contains the output data generated by the batch inference job.
jobName :: Maybe Text
The name of the batch inference job.
lastUpdatedDateTime :: Maybe POSIX
The time at which the batch inference job was last updated.
numResults :: Maybe Int
The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.
batchInferenceJobConfig :: Maybe BatchInferenceJobConfig
A string to string map of the configuration details of a batch inference job.
batchInferenceJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the batch inference job.
filterArn :: Maybe Text
The ARN of the filter used on the batch inference job.
creationDateTime :: Maybe POSIX
The time at which the batch inference job was created.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.
roleArn :: Maybe Text
The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.
jobInput :: Maybe BatchInferenceJobInput
The Amazon S3 path that leads to the input data used to generate the batch inference job.

Instances

Instances details

Eq BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods (==) :: BatchInferenceJob -> BatchInferenceJob -> Bool # (/=) :: BatchInferenceJob -> BatchInferenceJob -> Bool #
Read BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods readsPrec :: Int -> ReadS BatchInferenceJob # readList :: ReadS [BatchInferenceJob] # readPrec :: ReadPrec BatchInferenceJob # readListPrec :: ReadPrec [BatchInferenceJob] #
Show BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods showsPrec :: Int -> BatchInferenceJob -> ShowS # show :: BatchInferenceJob -> String # showList :: [BatchInferenceJob] -> ShowS #
Generic BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Associated Types type Rep BatchInferenceJob :: Type -> Type # Methods from :: BatchInferenceJob -> Rep BatchInferenceJob x # to :: Rep BatchInferenceJob x -> BatchInferenceJob #
NFData BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods rnf :: BatchInferenceJob -> () #
Hashable BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods hashWithSalt :: Int -> BatchInferenceJob -> Int # hash :: BatchInferenceJob -> Int #
FromJSON BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob Methods parseJSON :: Value -> Parser BatchInferenceJob # parseJSONList :: Value -> Parser [BatchInferenceJob] #
type Rep BatchInferenceJob Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJob type Rep BatchInferenceJob = D1 ('MetaData "BatchInferenceJob" "Amazonka.Personalize.Types.BatchInferenceJob" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "BatchInferenceJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJobOutput)))) :: (S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "numResults") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))) :: ((S1 ('MetaSel ('Just "batchInferenceJobConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJobConfig)) :: (S1 ('MetaSel ('Just "batchInferenceJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "filterArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchInferenceJobInput)))))))

newBatchInferenceJob :: BatchInferenceJob Source #

Create a value of BatchInferenceJob with all optional fields omitted.

Use 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:BatchInferenceJob', batchInferenceJob_failureReason - If the batch inference job failed, the reason for the failure.

$sel:status:BatchInferenceJob', batchInferenceJob_status - The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

$sel:jobOutput:BatchInferenceJob', batchInferenceJob_jobOutput - The Amazon S3 bucket that contains the output data generated by the batch inference job.

$sel:jobName:BatchInferenceJob', batchInferenceJob_jobName - The name of the batch inference job.

$sel:lastUpdatedDateTime:BatchInferenceJob', batchInferenceJob_lastUpdatedDateTime - The time at which the batch inference job was last updated.

$sel:numResults:BatchInferenceJob', batchInferenceJob_numResults - The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

$sel:batchInferenceJobConfig:BatchInferenceJob', batchInferenceJob_batchInferenceJobConfig - A string to string map of the configuration details of a batch inference job.

$sel:batchInferenceJobArn:BatchInferenceJob', batchInferenceJob_batchInferenceJobArn - The Amazon Resource Name (ARN) of the batch inference job.

$sel:filterArn:BatchInferenceJob', batchInferenceJob_filterArn - The ARN of the filter used on the batch inference job.

$sel:creationDateTime:BatchInferenceJob', batchInferenceJob_creationDateTime - The time at which the batch inference job was created.

$sel:solutionVersionArn:BatchInferenceJob', batchInferenceJob_solutionVersionArn - The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

$sel:roleArn:BatchInferenceJob', batchInferenceJob_roleArn - The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

$sel:jobInput:BatchInferenceJob', batchInferenceJob_jobInput - The Amazon S3 path that leads to the input data used to generate the batch inference job.

batchInferenceJob_failureReason :: Lens' BatchInferenceJob (Maybe Text) Source #

If the batch inference job failed, the reason for the failure.

batchInferenceJob_status :: Lens' BatchInferenceJob (Maybe Text) Source #

The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

batchInferenceJob_jobOutput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobOutput) Source #

The Amazon S3 bucket that contains the output data generated by the batch inference job.

batchInferenceJob_jobName :: Lens' BatchInferenceJob (Maybe Text) Source #

The name of the batch inference job.

batchInferenceJob_lastUpdatedDateTime :: Lens' BatchInferenceJob (Maybe UTCTime) Source #

The time at which the batch inference job was last updated.

batchInferenceJob_numResults :: Lens' BatchInferenceJob (Maybe Int) Source #

The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.

batchInferenceJob_batchInferenceJobConfig :: Lens' BatchInferenceJob (Maybe BatchInferenceJobConfig) Source #

A string to string map of the configuration details of a batch inference job.

batchInferenceJob_batchInferenceJobArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the batch inference job.

batchInferenceJob_filterArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The ARN of the filter used on the batch inference job.

batchInferenceJob_creationDateTime :: Lens' BatchInferenceJob (Maybe UTCTime) Source #

The time at which the batch inference job was created.

batchInferenceJob_solutionVersionArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.

batchInferenceJob_roleArn :: Lens' BatchInferenceJob (Maybe Text) Source #

The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.

batchInferenceJob_jobInput :: Lens' BatchInferenceJob (Maybe BatchInferenceJobInput) Source #

The Amazon S3 path that leads to the input data used to generate the batch inference job.

BatchInferenceJobConfig

data BatchInferenceJobConfig Source #

The configuration details of a batch inference job.

See: newBatchInferenceJobConfig smart constructor.

Constructors

BatchInferenceJobConfig'
Fields itemExplorationConfig :: Maybe (HashMap Text Text) A string to string map specifying the exploration configuration hyperparameters, including `explorationWeight` and `explorationItemAgeCutOff`, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

Instances

Instances details

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

newBatchInferenceJobConfig :: BatchInferenceJobConfig Source #

Create a value of BatchInferenceJobConfig with all optional fields omitted.

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

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

$sel:itemExplorationConfig:BatchInferenceJobConfig', batchInferenceJobConfig_itemExplorationConfig - A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

batchInferenceJobConfig_itemExplorationConfig :: Lens' BatchInferenceJobConfig (Maybe (HashMap Text Text)) Source #

A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.

BatchInferenceJobInput

data BatchInferenceJobInput Source #

The input configuration of a batch inference job.

See: newBatchInferenceJobInput smart constructor.

Constructors

BatchInferenceJobInput'
Fields s3DataSource :: S3DataConfig The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

Instances

Instances details

Eq BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods (==) :: BatchInferenceJobInput -> BatchInferenceJobInput -> Bool # (/=) :: BatchInferenceJobInput -> BatchInferenceJobInput -> Bool #
Read BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods readsPrec :: Int -> ReadS BatchInferenceJobInput # readList :: ReadS [BatchInferenceJobInput] # readPrec :: ReadPrec BatchInferenceJobInput # readListPrec :: ReadPrec [BatchInferenceJobInput] #
Show BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods showsPrec :: Int -> BatchInferenceJobInput -> ShowS # show :: BatchInferenceJobInput -> String # showList :: [BatchInferenceJobInput] -> ShowS #
Generic BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Associated Types type Rep BatchInferenceJobInput :: Type -> Type # Methods from :: BatchInferenceJobInput -> Rep BatchInferenceJobInput x # to :: Rep BatchInferenceJobInput x -> BatchInferenceJobInput #
NFData BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods rnf :: BatchInferenceJobInput -> () #
Hashable BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods hashWithSalt :: Int -> BatchInferenceJobInput -> Int # hash :: BatchInferenceJobInput -> Int #
ToJSON BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods toJSON :: BatchInferenceJobInput -> Value # toEncoding :: BatchInferenceJobInput -> Encoding # toJSONList :: [BatchInferenceJobInput] -> Value # toEncodingList :: [BatchInferenceJobInput] -> Encoding #
FromJSON BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput Methods parseJSON :: Value -> Parser BatchInferenceJobInput # parseJSONList :: Value -> Parser [BatchInferenceJobInput] #
type Rep BatchInferenceJobInput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobInput type Rep BatchInferenceJobInput = D1 ('MetaData "BatchInferenceJobInput" "Amazonka.Personalize.Types.BatchInferenceJobInput" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "BatchInferenceJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newBatchInferenceJobInput Source #

Arguments

:: S3DataConfig	`$sel:s3DataSource:BatchInferenceJobInput'`
-> BatchInferenceJobInput

Create a value of BatchInferenceJobInput with all optional fields omitted.

Use 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:BatchInferenceJobInput', batchInferenceJobInput_s3DataSource - The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

batchInferenceJobInput_s3DataSource :: Lens' BatchInferenceJobInput S3DataConfig Source #

The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.

BatchInferenceJobOutput

data BatchInferenceJobOutput Source #

The output configuration parameters of a batch inference job.

See: newBatchInferenceJobOutput smart constructor.

Constructors

BatchInferenceJobOutput'
Fields s3DataDestination :: S3DataConfig Information on the Amazon S3 bucket in which the batch inference job's output is stored.

Instances

Instances details

Eq BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods (==) :: BatchInferenceJobOutput -> BatchInferenceJobOutput -> Bool # (/=) :: BatchInferenceJobOutput -> BatchInferenceJobOutput -> Bool #
Read BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods readsPrec :: Int -> ReadS BatchInferenceJobOutput # readList :: ReadS [BatchInferenceJobOutput] # readPrec :: ReadPrec BatchInferenceJobOutput # readListPrec :: ReadPrec [BatchInferenceJobOutput] #
Show BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods showsPrec :: Int -> BatchInferenceJobOutput -> ShowS # show :: BatchInferenceJobOutput -> String # showList :: [BatchInferenceJobOutput] -> ShowS #
Generic BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Associated Types type Rep BatchInferenceJobOutput :: Type -> Type # Methods from :: BatchInferenceJobOutput -> Rep BatchInferenceJobOutput x # to :: Rep BatchInferenceJobOutput x -> BatchInferenceJobOutput #
NFData BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods rnf :: BatchInferenceJobOutput -> () #
Hashable BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods hashWithSalt :: Int -> BatchInferenceJobOutput -> Int # hash :: BatchInferenceJobOutput -> Int #
ToJSON BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods toJSON :: BatchInferenceJobOutput -> Value # toEncoding :: BatchInferenceJobOutput -> Encoding # toJSONList :: [BatchInferenceJobOutput] -> Value # toEncodingList :: [BatchInferenceJobOutput] -> Encoding #
FromJSON BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput Methods parseJSON :: Value -> Parser BatchInferenceJobOutput # parseJSONList :: Value -> Parser [BatchInferenceJobOutput] #
type Rep BatchInferenceJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.BatchInferenceJobOutput type Rep BatchInferenceJobOutput = D1 ('MetaData "BatchInferenceJobOutput" "Amazonka.Personalize.Types.BatchInferenceJobOutput" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "BatchInferenceJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataDestination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newBatchInferenceJobOutput Source #

Arguments

:: S3DataConfig	`$sel:s3DataDestination:BatchInferenceJobOutput'`
-> BatchInferenceJobOutput

Create a value of BatchInferenceJobOutput with all optional fields omitted.

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

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

$sel:s3DataDestination:BatchInferenceJobOutput', batchInferenceJobOutput_s3DataDestination - Information on the Amazon S3 bucket in which the batch inference job's output is stored.

batchInferenceJobOutput_s3DataDestination :: Lens' BatchInferenceJobOutput S3DataConfig Source #

Information on the Amazon S3 bucket in which the batch inference job's output is stored.

BatchInferenceJobSummary

data BatchInferenceJobSummary Source #

A truncated version of the BatchInferenceJob datatype. The ListBatchInferenceJobs operation returns a list of batch inference job summaries.

See: newBatchInferenceJobSummary smart constructor.

Constructors

BatchInferenceJobSummary'

Fields

failureReason :: Maybe Text
If the batch inference job failed, the reason for the failure.
status :: Maybe Text
The status of the batch inference job. The status is one of the following values:
- PENDING
- IN PROGRESS
- ACTIVE
- CREATE FAILED
jobName :: Maybe Text
The name of the batch inference job.
lastUpdatedDateTime :: Maybe POSIX
The time at which the batch inference job was last updated.
batchInferenceJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the batch inference job.
creationDateTime :: Maybe POSIX
The time at which the batch inference job was created.
solutionVersionArn :: Maybe Text
The ARN of the solution version used by the batch inference job.

Instances

Instances details

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

newBatchInferenceJobSummary :: BatchInferenceJobSummary Source #

Create a value of BatchInferenceJobSummary with all optional fields omitted.

Use 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:BatchInferenceJobSummary', batchInferenceJobSummary_failureReason - If the batch inference job failed, the reason for the failure.

$sel:status:BatchInferenceJobSummary', batchInferenceJobSummary_status - The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

$sel:jobName:BatchInferenceJobSummary', batchInferenceJobSummary_jobName - The name of the batch inference job.

$sel:lastUpdatedDateTime:BatchInferenceJobSummary', batchInferenceJobSummary_lastUpdatedDateTime - The time at which the batch inference job was last updated.

$sel:batchInferenceJobArn:BatchInferenceJobSummary', batchInferenceJobSummary_batchInferenceJobArn - The Amazon Resource Name (ARN) of the batch inference job.

$sel:creationDateTime:BatchInferenceJobSummary', batchInferenceJobSummary_creationDateTime - The time at which the batch inference job was created.

$sel:solutionVersionArn:BatchInferenceJobSummary', batchInferenceJobSummary_solutionVersionArn - The ARN of the solution version used by the batch inference job.

batchInferenceJobSummary_failureReason :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

If the batch inference job failed, the reason for the failure.

batchInferenceJobSummary_status :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The status of the batch inference job. The status is one of the following values:

PENDING
IN PROGRESS
ACTIVE
CREATE FAILED

batchInferenceJobSummary_jobName :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The name of the batch inference job.

batchInferenceJobSummary_lastUpdatedDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime) Source #

The time at which the batch inference job was last updated.

batchInferenceJobSummary_batchInferenceJobArn :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the batch inference job.

batchInferenceJobSummary_creationDateTime :: Lens' BatchInferenceJobSummary (Maybe UTCTime) Source #

The time at which the batch inference job was created.

batchInferenceJobSummary_solutionVersionArn :: Lens' BatchInferenceJobSummary (Maybe Text) Source #

The ARN of the solution version used by the batch inference job.

Campaign

data Campaign Source #

Describes a deployed solution version, otherwise known as a campaign. For more information on campaigns, see CreateCampaign.

See: newCampaign smart constructor.

Constructors

Campaign'

Fields

failureReason :: Maybe Text
If a campaign fails, the reason behind the failure.
status :: Maybe Text
The status of the campaign.
A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix format) that the campaign was last updated.
campaignConfig :: Maybe CampaignConfig
The configuration details of a campaign.
latestCampaignUpdate :: Maybe CampaignUpdateSummary
name :: Maybe Text
The name of the campaign.
minProvisionedTPS :: Maybe Natural
Specifies the requested minimum provisioned transactions (recommendations) per second.
creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the campaign was created.
campaignArn :: Maybe Text
The Amazon Resource Name (ARN) of the campaign.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of a specific version of the solution.

Instances

Instances details

Eq Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods (==) :: Campaign -> Campaign -> Bool # (/=) :: Campaign -> Campaign -> Bool #
Read Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods readsPrec :: Int -> ReadS Campaign # readList :: ReadS [Campaign] # readPrec :: ReadPrec Campaign # readListPrec :: ReadPrec [Campaign] #
Show Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods showsPrec :: Int -> Campaign -> ShowS # show :: Campaign -> String # showList :: [Campaign] -> ShowS #
Generic Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Associated Types type Rep Campaign :: Type -> Type # Methods from :: Campaign -> Rep Campaign x # to :: Rep Campaign x -> Campaign #
NFData Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods rnf :: Campaign -> () #
Hashable Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods hashWithSalt :: Int -> Campaign -> Int # hash :: Campaign -> Int #
FromJSON Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign Methods parseJSON :: Value -> Parser Campaign # parseJSONList :: Value -> Parser [Campaign] #
type Rep Campaign Source #
Instance details Defined in Amazonka.Personalize.Types.Campaign type Rep Campaign = D1 ('MetaData "Campaign" "Amazonka.Personalize.Types.Campaign" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "Campaign'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "campaignConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CampaignConfig)) :: S1 ('MetaSel ('Just "latestCampaignUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CampaignUpdateSummary))))) :: ((S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "minProvisionedTPS") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "campaignArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newCampaign :: Campaign Source #

Create a value of Campaign with all optional fields omitted.

Use 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:Campaign', campaign_failureReason - If a campaign fails, the reason behind the failure.

$sel:status:Campaign', campaign_status - The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:lastUpdatedDateTime:Campaign', campaign_lastUpdatedDateTime - The date and time (in Unix format) that the campaign was last updated.

$sel:campaignConfig:Campaign', campaign_campaignConfig - The configuration details of a campaign.

$sel:latestCampaignUpdate:Campaign', campaign_latestCampaignUpdate - Undocumented member.

$sel:name:Campaign', campaign_name - The name of the campaign.

$sel:minProvisionedTPS:Campaign', campaign_minProvisionedTPS - Specifies the requested minimum provisioned transactions (recommendations) per second.

$sel:creationDateTime:Campaign', campaign_creationDateTime - The date and time (in Unix format) that the campaign was created.

$sel:campaignArn:Campaign', campaign_campaignArn - The Amazon Resource Name (ARN) of the campaign.

$sel:solutionVersionArn:Campaign', campaign_solutionVersionArn - The Amazon Resource Name (ARN) of a specific version of the solution.

campaign_failureReason :: Lens' Campaign (Maybe Text) Source #

If a campaign fails, the reason behind the failure.

campaign_status :: Lens' Campaign (Maybe Text) Source #

The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

campaign_lastUpdatedDateTime :: Lens' Campaign (Maybe UTCTime) Source #

The date and time (in Unix format) that the campaign was last updated.

campaign_campaignConfig :: Lens' Campaign (Maybe CampaignConfig) Source #

The configuration details of a campaign.

campaign_latestCampaignUpdate :: Lens' Campaign (Maybe CampaignUpdateSummary) Source #

Undocumented member.

campaign_name :: Lens' Campaign (Maybe Text) Source #

The name of the campaign.

campaign_minProvisionedTPS :: Lens' Campaign (Maybe Natural) Source #

Specifies the requested minimum provisioned transactions (recommendations) per second.

campaign_creationDateTime :: Lens' Campaign (Maybe UTCTime) Source #

The date and time (in Unix format) that the campaign was created.

campaign_campaignArn :: Lens' Campaign (Maybe Text) Source #

The Amazon Resource Name (ARN) of the campaign.

campaign_solutionVersionArn :: Lens' Campaign (Maybe Text) Source #

The Amazon Resource Name (ARN) of a specific version of the solution.

CampaignConfig

data CampaignConfig Source #

The configuration details of a campaign.

See: newCampaignConfig smart constructor.

Constructors

CampaignConfig'

Fields

itemExplorationConfig :: Maybe (HashMap Text Text)
A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your solution uses the User-Personalization recipe.

Instances

Instances details

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

newCampaignConfig :: CampaignConfig Source #

Create a value of CampaignConfig with all optional fields omitted.

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

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

$sel:itemExplorationConfig:CampaignConfig', campaignConfig_itemExplorationConfig - A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your solution uses the User-Personalization recipe.

campaignConfig_itemExplorationConfig :: Lens' CampaignConfig (Maybe (HashMap Text Text)) Source #

A string to string map specifying the exploration configuration hyperparameters, including explorationWeight and explorationItemAgeCutOff, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. Provide itemExplorationConfig data only if your solution uses the User-Personalization recipe.

CampaignSummary

data CampaignSummary Source #

Provides a summary of the properties of a campaign. For a complete listing, call the DescribeCampaign API.

See: newCampaignSummary smart constructor.

Constructors

CampaignSummary'

Fields

failureReason :: Maybe Text
If a campaign fails, the reason behind the failure.
status :: Maybe Text
The status of the campaign.
A campaign can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign was last updated.
name :: Maybe Text
The name of the campaign.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign was created.
campaignArn :: Maybe Text
The Amazon Resource Name (ARN) of the campaign.

Instances

Instances details

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

newCampaignSummary :: CampaignSummary Source #

Create a value of CampaignSummary with all optional fields omitted.

Use 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:CampaignSummary', campaignSummary_failureReason - If a campaign fails, the reason behind the failure.

$sel:status:CampaignSummary', campaignSummary_status - The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:lastUpdatedDateTime:CampaignSummary', campaignSummary_lastUpdatedDateTime - The date and time (in Unix time) that the campaign was last updated.

$sel:name:CampaignSummary', campaignSummary_name - The name of the campaign.

$sel:creationDateTime:CampaignSummary', campaignSummary_creationDateTime - The date and time (in Unix time) that the campaign was created.

$sel:campaignArn:CampaignSummary', campaignSummary_campaignArn - The Amazon Resource Name (ARN) of the campaign.

campaignSummary_failureReason :: Lens' CampaignSummary (Maybe Text) Source #

If a campaign fails, the reason behind the failure.

campaignSummary_status :: Lens' CampaignSummary (Maybe Text) Source #

The status of the campaign.

A campaign can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

campaignSummary_lastUpdatedDateTime :: Lens' CampaignSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign was last updated.

campaignSummary_name :: Lens' CampaignSummary (Maybe Text) Source #

The name of the campaign.

campaignSummary_creationDateTime :: Lens' CampaignSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign was created.

campaignSummary_campaignArn :: Lens' CampaignSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the campaign.

CampaignUpdateSummary

data CampaignUpdateSummary Source #

Provides a summary of the properties of a campaign update. For a complete listing, call the DescribeCampaign API.

See: newCampaignUpdateSummary smart constructor.

Constructors

CampaignUpdateSummary'

Fields

failureReason :: Maybe Text
If a campaign update fails, the reason behind the failure.
status :: Maybe Text
The status of the campaign update.
A campaign update can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign update was last updated.
campaignConfig :: Maybe CampaignConfig
minProvisionedTPS :: Maybe Natural
Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the campaign update was created.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the deployed solution version.

Instances

Instances details

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

newCampaignUpdateSummary :: CampaignUpdateSummary Source #

Create a value of CampaignUpdateSummary with all optional fields omitted.

Use 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:CampaignUpdateSummary', campaignUpdateSummary_failureReason - If a campaign update fails, the reason behind the failure.

$sel:status:CampaignUpdateSummary', campaignUpdateSummary_status - The status of the campaign update.

A campaign update can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:lastUpdatedDateTime:CampaignUpdateSummary', campaignUpdateSummary_lastUpdatedDateTime - The date and time (in Unix time) that the campaign update was last updated.

$sel:campaignConfig:CampaignUpdateSummary', campaignUpdateSummary_campaignConfig - Undocumented member.

$sel:minProvisionedTPS:CampaignUpdateSummary', campaignUpdateSummary_minProvisionedTPS - Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

$sel:creationDateTime:CampaignUpdateSummary', campaignUpdateSummary_creationDateTime - The date and time (in Unix time) that the campaign update was created.

$sel:solutionVersionArn:CampaignUpdateSummary', campaignUpdateSummary_solutionVersionArn - The Amazon Resource Name (ARN) of the deployed solution version.

campaignUpdateSummary_failureReason :: Lens' CampaignUpdateSummary (Maybe Text) Source #

If a campaign update fails, the reason behind the failure.

campaignUpdateSummary_status :: Lens' CampaignUpdateSummary (Maybe Text) Source #

The status of the campaign update.

A campaign update can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

campaignUpdateSummary_lastUpdatedDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign update was last updated.

campaignUpdateSummary_campaignConfig :: Lens' CampaignUpdateSummary (Maybe CampaignConfig) Source #

Undocumented member.

campaignUpdateSummary_minProvisionedTPS :: Lens' CampaignUpdateSummary (Maybe Natural) Source #

Specifies the requested minimum provisioned transactions (recommendations) per second that Amazon Personalize will support.

campaignUpdateSummary_creationDateTime :: Lens' CampaignUpdateSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the campaign update was created.

campaignUpdateSummary_solutionVersionArn :: Lens' CampaignUpdateSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the deployed solution version.

CategoricalHyperParameterRange

data CategoricalHyperParameterRange Source #

Provides the name and range of a categorical hyperparameter.

See: newCategoricalHyperParameterRange smart constructor.

Constructors

CategoricalHyperParameterRange'
Fields values :: Maybe [Text] A list of the categories for the hyperparameter. name :: Maybe Text The name of the hyperparameter.

Instances

Instances details

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

newCategoricalHyperParameterRange :: CategoricalHyperParameterRange Source #

Create a value of CategoricalHyperParameterRange with all optional fields omitted.

Use 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:CategoricalHyperParameterRange', categoricalHyperParameterRange_values - A list of the categories for the hyperparameter.

$sel:name:CategoricalHyperParameterRange', categoricalHyperParameterRange_name - The name of the hyperparameter.

categoricalHyperParameterRange_values :: Lens' CategoricalHyperParameterRange (Maybe [Text]) Source #

A list of the categories for the hyperparameter.

categoricalHyperParameterRange_name :: Lens' CategoricalHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

ContinuousHyperParameterRange

data ContinuousHyperParameterRange Source #

Provides the name and range of a continuous hyperparameter.

See: newContinuousHyperParameterRange smart constructor.

Constructors

ContinuousHyperParameterRange'
Fields maxValue :: Maybe Double The maximum allowable value for the hyperparameter. name :: Maybe Text The name of the hyperparameter. minValue :: Maybe Double The minimum allowable value for the hyperparameter.

Instances

Instances details

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

newContinuousHyperParameterRange :: ContinuousHyperParameterRange Source #

Create a value of ContinuousHyperParameterRange with all optional fields omitted.

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

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

$sel:maxValue:ContinuousHyperParameterRange', continuousHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:name:ContinuousHyperParameterRange', continuousHyperParameterRange_name - The name of the hyperparameter.

$sel:minValue:ContinuousHyperParameterRange', continuousHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

continuousHyperParameterRange_maxValue :: Lens' ContinuousHyperParameterRange (Maybe Double) Source #

The maximum allowable value for the hyperparameter.

continuousHyperParameterRange_name :: Lens' ContinuousHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

continuousHyperParameterRange_minValue :: Lens' ContinuousHyperParameterRange (Maybe Double) Source #

The minimum allowable value for the hyperparameter.

DataSource

data DataSource Source #

Describes the data source that contains the data to upload to a dataset.

See: newDataSource smart constructor.

Constructors

DataSource'
Fields dataLocation :: Maybe Text The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example: s3://bucket-name/folder-name/

Instances

Instances details

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

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:dataLocation:DataSource', dataSource_dataLocation - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/

dataSource_dataLocation :: Lens' DataSource (Maybe Text) Source #

The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/

Dataset

data Dataset Source #

Provides metadata for a dataset.

See: newDataset smart constructor.

Constructors

Dataset'

Fields

status :: Maybe Text
The status of the dataset.
A dataset can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset that you want metadata for.
lastUpdatedDateTime :: Maybe POSIX
A time stamp that shows when the dataset was updated.
schemaArn :: Maybe Text
The ARN of the associated schema.
name :: Maybe Text
The name of the dataset.
datasetType :: Maybe Text
One of the following values:
- Interactions
- Items
- Users
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group.

Instances

Instances details

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

newDataset :: Dataset Source #

Create a value of Dataset with all optional fields omitted.

Use 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:Dataset', dataset_status - The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:datasetArn:Dataset', dataset_datasetArn - The Amazon Resource Name (ARN) of the dataset that you want metadata for.

$sel:lastUpdatedDateTime:Dataset', dataset_lastUpdatedDateTime - A time stamp that shows when the dataset was updated.

$sel:schemaArn:Dataset', dataset_schemaArn - The ARN of the associated schema.

$sel:name:Dataset', dataset_name - The name of the dataset.

$sel:datasetType:Dataset', dataset_datasetType - One of the following values:

Interactions
Items
Users

$sel:creationDateTime:Dataset', dataset_creationDateTime - The creation date and time (in Unix time) of the dataset.

$sel:datasetGroupArn:Dataset', dataset_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

dataset_status :: Lens' Dataset (Maybe Text) Source #

The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

dataset_datasetArn :: Lens' Dataset (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset that you want metadata for.

dataset_lastUpdatedDateTime :: Lens' Dataset (Maybe UTCTime) Source #

A time stamp that shows when the dataset was updated.

dataset_schemaArn :: Lens' Dataset (Maybe Text) Source #

The ARN of the associated schema.

dataset_name :: Lens' Dataset (Maybe Text) Source #

The name of the dataset.

dataset_datasetType :: Lens' Dataset (Maybe Text) Source #

One of the following values:

Interactions
Items
Users

dataset_creationDateTime :: Lens' Dataset (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset.

dataset_datasetGroupArn :: Lens' Dataset (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group.

DatasetExportJob

data DatasetExportJob Source #

Describes a job that exports a dataset to an Amazon S3 bucket. For more information, see CreateDatasetExportJob.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

See: newDatasetExportJob smart constructor.

Constructors

DatasetExportJob'

Fields

failureReason :: Maybe Text
If a dataset export job fails, provides the reason why.
status :: Maybe Text
The status of the dataset export job.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
datasetExportJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset export job.
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset to export.
jobOutput :: Maybe DatasetExportJobOutput
The path to the Amazon S3 bucket where the job's output is stored. For example:
```
s3://bucket-name/folder-name/
```
jobName :: Maybe Text
The name of the export job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) the status of the dataset export job was last updated.
ingestionMode :: Maybe IngestionMode
The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset export job.
roleArn :: Maybe Text
The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

Instances

Instances details

Eq DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods (==) :: DatasetExportJob -> DatasetExportJob -> Bool # (/=) :: DatasetExportJob -> DatasetExportJob -> Bool #
Read DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods readsPrec :: Int -> ReadS DatasetExportJob # readList :: ReadS [DatasetExportJob] # readPrec :: ReadPrec DatasetExportJob # readListPrec :: ReadPrec [DatasetExportJob] #
Show DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods showsPrec :: Int -> DatasetExportJob -> ShowS # show :: DatasetExportJob -> String # showList :: [DatasetExportJob] -> ShowS #
Generic DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Associated Types type Rep DatasetExportJob :: Type -> Type # Methods from :: DatasetExportJob -> Rep DatasetExportJob x # to :: Rep DatasetExportJob x -> DatasetExportJob #
NFData DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods rnf :: DatasetExportJob -> () #
Hashable DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods hashWithSalt :: Int -> DatasetExportJob -> Int # hash :: DatasetExportJob -> Int #
FromJSON DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob Methods parseJSON :: Value -> Parser DatasetExportJob # parseJSONList :: Value -> Parser [DatasetExportJob] #
type Rep DatasetExportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJob type Rep DatasetExportJob = D1 ('MetaData "DatasetExportJob" "Amazonka.Personalize.Types.DatasetExportJob" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "DatasetExportJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetExportJobOutput))))) :: ((S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "ingestionMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe IngestionMode)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newDatasetExportJob :: DatasetExportJob Source #

Create a value of DatasetExportJob with all optional fields omitted.

Use 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:DatasetExportJob', datasetExportJob_failureReason - If a dataset export job fails, provides the reason why.

$sel:status:DatasetExportJob', datasetExportJob_status - The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

$sel:datasetExportJobArn:DatasetExportJob', datasetExportJob_datasetExportJobArn - The Amazon Resource Name (ARN) of the dataset export job.

$sel:datasetArn:DatasetExportJob', datasetExportJob_datasetArn - The Amazon Resource Name (ARN) of the dataset to export.

$sel:jobOutput:DatasetExportJob', datasetExportJob_jobOutput - The path to the Amazon S3 bucket where the job's output is stored. For example:

s3://bucket-name/folder-name/

$sel:jobName:DatasetExportJob', datasetExportJob_jobName - The name of the export job.

$sel:lastUpdatedDateTime:DatasetExportJob', datasetExportJob_lastUpdatedDateTime - The date and time (in Unix time) the status of the dataset export job was last updated.

$sel:ingestionMode:DatasetExportJob', datasetExportJob_ingestionMode - The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.

$sel:creationDateTime:DatasetExportJob', datasetExportJob_creationDateTime - The creation date and time (in Unix time) of the dataset export job.

$sel:roleArn:DatasetExportJob', datasetExportJob_roleArn - The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

datasetExportJob_failureReason :: Lens' DatasetExportJob (Maybe Text) Source #

If a dataset export job fails, provides the reason why.

datasetExportJob_status :: Lens' DatasetExportJob (Maybe Text) Source #

The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetExportJob_datasetExportJobArn :: Lens' DatasetExportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset export job.

datasetExportJob_datasetArn :: Lens' DatasetExportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset to export.

datasetExportJob_jobOutput :: Lens' DatasetExportJob (Maybe DatasetExportJobOutput) Source #

The path to the Amazon S3 bucket where the job's output is stored. For example:

s3://bucket-name/folder-name/

datasetExportJob_jobName :: Lens' DatasetExportJob (Maybe Text) Source #

The name of the export job.

datasetExportJob_lastUpdatedDateTime :: Lens' DatasetExportJob (Maybe UTCTime) Source #

The date and time (in Unix time) the status of the dataset export job was last updated.

datasetExportJob_ingestionMode :: Lens' DatasetExportJob (Maybe IngestionMode) Source #

The data to export, based on how you imported the data. You can choose to export BULK data that you imported using a dataset import job, PUT data that you imported incrementally (using the console, PutEvents, PutUsers and PutItems operations), or ALL for both types. The default value is PUT.

datasetExportJob_creationDateTime :: Lens' DatasetExportJob (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset export job.

datasetExportJob_roleArn :: Lens' DatasetExportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the IAM service role that has permissions to add data to your output Amazon S3 bucket.

DatasetExportJobOutput

data DatasetExportJobOutput Source #

The output configuration parameters of a dataset export job.

See: newDatasetExportJobOutput smart constructor.

Constructors

DatasetExportJobOutput'
Fields s3DataDestination :: S3DataConfig

Instances

Instances details

Eq DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods (==) :: DatasetExportJobOutput -> DatasetExportJobOutput -> Bool # (/=) :: DatasetExportJobOutput -> DatasetExportJobOutput -> Bool #
Read DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods readsPrec :: Int -> ReadS DatasetExportJobOutput # readList :: ReadS [DatasetExportJobOutput] # readPrec :: ReadPrec DatasetExportJobOutput # readListPrec :: ReadPrec [DatasetExportJobOutput] #
Show DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods showsPrec :: Int -> DatasetExportJobOutput -> ShowS # show :: DatasetExportJobOutput -> String # showList :: [DatasetExportJobOutput] -> ShowS #
Generic DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Associated Types type Rep DatasetExportJobOutput :: Type -> Type # Methods from :: DatasetExportJobOutput -> Rep DatasetExportJobOutput x # to :: Rep DatasetExportJobOutput x -> DatasetExportJobOutput #
NFData DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods rnf :: DatasetExportJobOutput -> () #
Hashable DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods hashWithSalt :: Int -> DatasetExportJobOutput -> Int # hash :: DatasetExportJobOutput -> Int #
ToJSON DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods toJSON :: DatasetExportJobOutput -> Value # toEncoding :: DatasetExportJobOutput -> Encoding # toJSONList :: [DatasetExportJobOutput] -> Value # toEncodingList :: [DatasetExportJobOutput] -> Encoding #
FromJSON DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput Methods parseJSON :: Value -> Parser DatasetExportJobOutput # parseJSONList :: Value -> Parser [DatasetExportJobOutput] #
type Rep DatasetExportJobOutput Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetExportJobOutput type Rep DatasetExportJobOutput = D1 ('MetaData "DatasetExportJobOutput" "Amazonka.Personalize.Types.DatasetExportJobOutput" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "DatasetExportJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataDestination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataConfig)))

newDatasetExportJobOutput Source #

Arguments

:: S3DataConfig	`$sel:s3DataDestination:DatasetExportJobOutput'`
-> DatasetExportJobOutput

Create a value of DatasetExportJobOutput with all optional fields omitted.

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

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

$sel:s3DataDestination:DatasetExportJobOutput', datasetExportJobOutput_s3DataDestination - Undocumented member.

datasetExportJobOutput_s3DataDestination :: Lens' DatasetExportJobOutput S3DataConfig Source #

Undocumented member.

DatasetExportJobSummary

data DatasetExportJobSummary Source #

Provides a summary of the properties of a dataset export job. For a complete listing, call the DescribeDatasetExportJob API.

See: newDatasetExportJobSummary smart constructor.

Constructors

DatasetExportJobSummary'

Fields

failureReason :: Maybe Text
If a dataset export job fails, the reason behind the failure.
status :: Maybe Text
The status of the dataset export job.
A dataset export job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
datasetExportJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset export job.
jobName :: Maybe Text
The name of the dataset export job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset export job status was last updated.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset export job was created.

Instances

Instances details

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

newDatasetExportJobSummary :: DatasetExportJobSummary Source #

Create a value of DatasetExportJobSummary with all optional fields omitted.

Use 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:DatasetExportJobSummary', datasetExportJobSummary_failureReason - If a dataset export job fails, the reason behind the failure.

$sel:status:DatasetExportJobSummary', datasetExportJobSummary_status - The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

$sel:datasetExportJobArn:DatasetExportJobSummary', datasetExportJobSummary_datasetExportJobArn - The Amazon Resource Name (ARN) of the dataset export job.

$sel:jobName:DatasetExportJobSummary', datasetExportJobSummary_jobName - The name of the dataset export job.

$sel:lastUpdatedDateTime:DatasetExportJobSummary', datasetExportJobSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset export job status was last updated.

$sel:creationDateTime:DatasetExportJobSummary', datasetExportJobSummary_creationDateTime - The date and time (in Unix time) that the dataset export job was created.

datasetExportJobSummary_failureReason :: Lens' DatasetExportJobSummary (Maybe Text) Source #

If a dataset export job fails, the reason behind the failure.

datasetExportJobSummary_status :: Lens' DatasetExportJobSummary (Maybe Text) Source #

The status of the dataset export job.

A dataset export job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetExportJobSummary_datasetExportJobArn :: Lens' DatasetExportJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset export job.

datasetExportJobSummary_jobName :: Lens' DatasetExportJobSummary (Maybe Text) Source #

The name of the dataset export job.

datasetExportJobSummary_lastUpdatedDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset export job status was last updated.

datasetExportJobSummary_creationDateTime :: Lens' DatasetExportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset export job was created.

DatasetGroup

data DatasetGroup Source #

A dataset group is a collection of related datasets (Interactions, User, and Item). You create a dataset group by calling CreateDatasetGroup. You then create a dataset and add it to a dataset group by calling CreateDataset. The dataset group is used to create and train a solution by calling CreateSolution. A dataset group can contain only one of each type of dataset.

You can specify an Key Management Service (KMS) key to encrypt the datasets in the group.

See: newDatasetGroup smart constructor.

Constructors

DatasetGroup'

Fields

failureReason :: Maybe Text
If creating a dataset group fails, provides the reason why.
status :: Maybe Text
The current status of the dataset group.
A dataset group can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING
kmsKeyArn :: Maybe Text
The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.
lastUpdatedDateTime :: Maybe POSIX
The last update date and time (in Unix time) of the dataset group.
name :: Maybe Text
The name of the dataset group.
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset group.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group.
roleArn :: Maybe Text
The ARN of the IAM role that has permissions to create the dataset group.

Instances

Instances details

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

newDatasetGroup :: DatasetGroup Source #

Create a value of DatasetGroup with all optional fields omitted.

Use 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:DatasetGroup', datasetGroup_failureReason - If creating a dataset group fails, provides the reason why.

$sel:status:DatasetGroup', datasetGroup_status - The current status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

$sel:kmsKeyArn:DatasetGroup', datasetGroup_kmsKeyArn - The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.

$sel:lastUpdatedDateTime:DatasetGroup', datasetGroup_lastUpdatedDateTime - The last update date and time (in Unix time) of the dataset group.

$sel:name:DatasetGroup', datasetGroup_name - The name of the dataset group.

$sel:creationDateTime:DatasetGroup', datasetGroup_creationDateTime - The creation date and time (in Unix time) of the dataset group.

$sel:datasetGroupArn:DatasetGroup', datasetGroup_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

$sel:roleArn:DatasetGroup', datasetGroup_roleArn - The ARN of the IAM role that has permissions to create the dataset group.

datasetGroup_failureReason :: Lens' DatasetGroup (Maybe Text) Source #

If creating a dataset group fails, provides the reason why.

datasetGroup_status :: Lens' DatasetGroup (Maybe Text) Source #

The current status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

datasetGroup_kmsKeyArn :: Lens' DatasetGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.

datasetGroup_lastUpdatedDateTime :: Lens' DatasetGroup (Maybe UTCTime) Source #

The last update date and time (in Unix time) of the dataset group.

datasetGroup_name :: Lens' DatasetGroup (Maybe Text) Source #

The name of the dataset group.

datasetGroup_creationDateTime :: Lens' DatasetGroup (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset group.

datasetGroup_datasetGroupArn :: Lens' DatasetGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group.

datasetGroup_roleArn :: Lens' DatasetGroup (Maybe Text) Source #

The ARN of the IAM role that has permissions to create the dataset group.

DatasetGroupSummary

data DatasetGroupSummary Source #

Provides a summary of the properties of a dataset group. For a complete listing, call the DescribeDatasetGroup API.

See: newDatasetGroupSummary smart constructor.

Constructors

DatasetGroupSummary'

Fields

failureReason :: Maybe Text
If creating a dataset group fails, the reason behind the failure.
status :: Maybe Text
The status of the dataset group.
A dataset group can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset group was last updated.
name :: Maybe Text
The name of the dataset group.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset group was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group.

Instances

Instances details

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

newDatasetGroupSummary :: DatasetGroupSummary Source #

Create a value of DatasetGroupSummary with all optional fields omitted.

Use 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:DatasetGroupSummary', datasetGroupSummary_failureReason - If creating a dataset group fails, the reason behind the failure.

$sel:status:DatasetGroupSummary', datasetGroupSummary_status - The status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

$sel:lastUpdatedDateTime:DatasetGroupSummary', datasetGroupSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset group was last updated.

$sel:name:DatasetGroupSummary', datasetGroupSummary_name - The name of the dataset group.

$sel:creationDateTime:DatasetGroupSummary', datasetGroupSummary_creationDateTime - The date and time (in Unix time) that the dataset group was created.

$sel:datasetGroupArn:DatasetGroupSummary', datasetGroupSummary_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group.

datasetGroupSummary_failureReason :: Lens' DatasetGroupSummary (Maybe Text) Source #

If creating a dataset group fails, the reason behind the failure.

datasetGroupSummary_status :: Lens' DatasetGroupSummary (Maybe Text) Source #

The status of the dataset group.

A dataset group can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING

datasetGroupSummary_lastUpdatedDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset group was last updated.

datasetGroupSummary_name :: Lens' DatasetGroupSummary (Maybe Text) Source #

The name of the dataset group.

datasetGroupSummary_creationDateTime :: Lens' DatasetGroupSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset group was created.

datasetGroupSummary_datasetGroupArn :: Lens' DatasetGroupSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group.

DatasetImportJob

data DatasetImportJob Source #

Describes a job that imports training data from a data source (Amazon S3 bucket) to an Amazon Personalize dataset. For more information, see CreateDatasetImportJob.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

See: newDatasetImportJob smart constructor.

Constructors

DatasetImportJob'

Fields

failureReason :: Maybe Text
If a dataset import job fails, provides the reason why.
status :: Maybe Text
The status of the dataset import job.
A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset that receives the imported data.
jobName :: Maybe Text
The name of the import job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) the dataset was last updated.
datasetImportJobArn :: Maybe Text
The ARN of the dataset import job.
dataSource :: Maybe DataSource
The Amazon S3 bucket that contains the training data to import.
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the dataset import job.
roleArn :: Maybe Text
The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

Instances

Instances details

Eq DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods (==) :: DatasetImportJob -> DatasetImportJob -> Bool # (/=) :: DatasetImportJob -> DatasetImportJob -> Bool #
Read DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods readsPrec :: Int -> ReadS DatasetImportJob # readList :: ReadS [DatasetImportJob] # readPrec :: ReadPrec DatasetImportJob # readListPrec :: ReadPrec [DatasetImportJob] #
Show DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods showsPrec :: Int -> DatasetImportJob -> ShowS # show :: DatasetImportJob -> String # showList :: [DatasetImportJob] -> ShowS #
Generic DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Associated Types type Rep DatasetImportJob :: Type -> Type # Methods from :: DatasetImportJob -> Rep DatasetImportJob x # to :: Rep DatasetImportJob x -> DatasetImportJob #
NFData DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods rnf :: DatasetImportJob -> () #
Hashable DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods hashWithSalt :: Int -> DatasetImportJob -> Int # hash :: DatasetImportJob -> Int #
FromJSON DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob Methods parseJSON :: Value -> Parser DatasetImportJob # parseJSONList :: Value -> Parser [DatasetImportJob] #
type Rep DatasetImportJob Source #
Instance details Defined in Amazonka.Personalize.Types.DatasetImportJob type Rep DatasetImportJob = D1 ('MetaData "DatasetImportJob" "Amazonka.Personalize.Types.DatasetImportJob" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "DatasetImportJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "datasetImportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataSource)) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newDatasetImportJob :: DatasetImportJob Source #

Create a value of DatasetImportJob with all optional fields omitted.

Use 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:DatasetImportJob', datasetImportJob_failureReason - If a dataset import job fails, provides the reason why.

$sel:status:DatasetImportJob', datasetImportJob_status - The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

$sel:datasetArn:DatasetImportJob', datasetImportJob_datasetArn - The Amazon Resource Name (ARN) of the dataset that receives the imported data.

$sel:jobName:DatasetImportJob', datasetImportJob_jobName - The name of the import job.

$sel:lastUpdatedDateTime:DatasetImportJob', datasetImportJob_lastUpdatedDateTime - The date and time (in Unix time) the dataset was last updated.

$sel:datasetImportJobArn:DatasetImportJob', datasetImportJob_datasetImportJobArn - The ARN of the dataset import job.

$sel:dataSource:DatasetImportJob', datasetImportJob_dataSource - The Amazon S3 bucket that contains the training data to import.

$sel:creationDateTime:DatasetImportJob', datasetImportJob_creationDateTime - The creation date and time (in Unix time) of the dataset import job.

$sel:roleArn:DatasetImportJob', datasetImportJob_roleArn - The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

datasetImportJob_failureReason :: Lens' DatasetImportJob (Maybe Text) Source #

If a dataset import job fails, provides the reason why.

datasetImportJob_status :: Lens' DatasetImportJob (Maybe Text) Source #

The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetImportJob_datasetArn :: Lens' DatasetImportJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

datasetImportJob_jobName :: Lens' DatasetImportJob (Maybe Text) Source #

The name of the import job.

datasetImportJob_lastUpdatedDateTime :: Lens' DatasetImportJob (Maybe UTCTime) Source #

The date and time (in Unix time) the dataset was last updated.

datasetImportJob_datasetImportJobArn :: Lens' DatasetImportJob (Maybe Text) Source #

The ARN of the dataset import job.

datasetImportJob_dataSource :: Lens' DatasetImportJob (Maybe DataSource) Source #

The Amazon S3 bucket that contains the training data to import.

datasetImportJob_creationDateTime :: Lens' DatasetImportJob (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the dataset import job.

datasetImportJob_roleArn :: Lens' DatasetImportJob (Maybe Text) Source #

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

DatasetImportJobSummary

data DatasetImportJobSummary Source #

Provides a summary of the properties of a dataset import job. For a complete listing, call the DescribeDatasetImportJob API.

See: newDatasetImportJobSummary smart constructor.

Constructors

DatasetImportJobSummary'

Fields

failureReason :: Maybe Text
If a dataset import job fails, the reason behind the failure.
status :: Maybe Text
The status of the dataset import job.
A dataset import job can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
jobName :: Maybe Text
The name of the dataset import job.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset import job status was last updated.
datasetImportJobArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset import job.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset import job was created.

Instances

Instances details

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

newDatasetImportJobSummary :: DatasetImportJobSummary Source #

Create a value of DatasetImportJobSummary with all optional fields omitted.

Use 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:DatasetImportJobSummary', datasetImportJobSummary_failureReason - If a dataset import job fails, the reason behind the failure.

$sel:status:DatasetImportJobSummary', datasetImportJobSummary_status - The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

$sel:jobName:DatasetImportJobSummary', datasetImportJobSummary_jobName - The name of the dataset import job.

$sel:lastUpdatedDateTime:DatasetImportJobSummary', datasetImportJobSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset import job status was last updated.

$sel:datasetImportJobArn:DatasetImportJobSummary', datasetImportJobSummary_datasetImportJobArn - The Amazon Resource Name (ARN) of the dataset import job.

$sel:creationDateTime:DatasetImportJobSummary', datasetImportJobSummary_creationDateTime - The date and time (in Unix time) that the dataset import job was created.

datasetImportJobSummary_failureReason :: Lens' DatasetImportJobSummary (Maybe Text) Source #

If a dataset import job fails, the reason behind the failure.

datasetImportJobSummary_status :: Lens' DatasetImportJobSummary (Maybe Text) Source #

The status of the dataset import job.

A dataset import job can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

datasetImportJobSummary_jobName :: Lens' DatasetImportJobSummary (Maybe Text) Source #

The name of the dataset import job.

datasetImportJobSummary_lastUpdatedDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset import job status was last updated.

datasetImportJobSummary_datasetImportJobArn :: Lens' DatasetImportJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset import job.

datasetImportJobSummary_creationDateTime :: Lens' DatasetImportJobSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset import job was created.

DatasetSchema

data DatasetSchema Source #

Describes the schema for a dataset. For more information on schemas, see CreateSchema.

See: newDatasetSchema smart constructor.

Constructors

DatasetSchema'
Fields lastUpdatedDateTime :: Maybe POSIX The date and time (in Unix time) that the schema was last updated. schema :: Maybe Text The schema. schemaArn :: Maybe Text The Amazon Resource Name (ARN) of the schema. name :: Maybe Text The name of the schema. creationDateTime :: Maybe POSIX The date and time (in Unix time) that the schema was created.

Instances

Instances details

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

newDatasetSchema :: DatasetSchema Source #

Create a value of DatasetSchema with all optional fields omitted.

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

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

$sel:lastUpdatedDateTime:DatasetSchema', datasetSchema_lastUpdatedDateTime - The date and time (in Unix time) that the schema was last updated.

$sel:schema:DatasetSchema', datasetSchema_schema - The schema.

$sel:schemaArn:DatasetSchema', datasetSchema_schemaArn - The Amazon Resource Name (ARN) of the schema.

$sel:name:DatasetSchema', datasetSchema_name - The name of the schema.

$sel:creationDateTime:DatasetSchema', datasetSchema_creationDateTime - The date and time (in Unix time) that the schema was created.

datasetSchema_lastUpdatedDateTime :: Lens' DatasetSchema (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was last updated.

datasetSchema_schema :: Lens' DatasetSchema (Maybe Text) Source #

The schema.

datasetSchema_schemaArn :: Lens' DatasetSchema (Maybe Text) Source #

The Amazon Resource Name (ARN) of the schema.

datasetSchema_name :: Lens' DatasetSchema (Maybe Text) Source #

The name of the schema.

datasetSchema_creationDateTime :: Lens' DatasetSchema (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was created.

DatasetSchemaSummary

data DatasetSchemaSummary Source #

Provides a summary of the properties of a dataset schema. For a complete listing, call the DescribeSchema API.

See: newDatasetSchemaSummary smart constructor.

Constructors

DatasetSchemaSummary'
Fields lastUpdatedDateTime :: Maybe POSIX The date and time (in Unix time) that the schema was last updated. schemaArn :: Maybe Text The Amazon Resource Name (ARN) of the schema. name :: Maybe Text The name of the schema. creationDateTime :: Maybe POSIX The date and time (in Unix time) that the schema was created.

Instances

Instances details

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

newDatasetSchemaSummary :: DatasetSchemaSummary Source #

Create a value of DatasetSchemaSummary with all optional fields omitted.

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

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

$sel:lastUpdatedDateTime:DatasetSchemaSummary', datasetSchemaSummary_lastUpdatedDateTime - The date and time (in Unix time) that the schema was last updated.

$sel:schemaArn:DatasetSchemaSummary', datasetSchemaSummary_schemaArn - The Amazon Resource Name (ARN) of the schema.

$sel:name:DatasetSchemaSummary', datasetSchemaSummary_name - The name of the schema.

$sel:creationDateTime:DatasetSchemaSummary', datasetSchemaSummary_creationDateTime - The date and time (in Unix time) that the schema was created.

datasetSchemaSummary_lastUpdatedDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was last updated.

datasetSchemaSummary_schemaArn :: Lens' DatasetSchemaSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the schema.

datasetSchemaSummary_name :: Lens' DatasetSchemaSummary (Maybe Text) Source #

The name of the schema.

datasetSchemaSummary_creationDateTime :: Lens' DatasetSchemaSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the schema was created.

DatasetSummary

data DatasetSummary Source #

Provides a summary of the properties of a dataset. For a complete listing, call the DescribeDataset API.

See: newDatasetSummary smart constructor.

Constructors

DatasetSummary'

Fields

status :: Maybe Text
The status of the dataset.
A dataset can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
datasetArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset was last updated.
name :: Maybe Text
The name of the dataset.
datasetType :: Maybe Text
The dataset type. One of the following values:
- Interactions
- Items
- Users
- Event-Interactions
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the dataset was created.

Instances

Instances details

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

newDatasetSummary :: DatasetSummary Source #

Create a value of DatasetSummary with all optional fields omitted.

Use 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:DatasetSummary', datasetSummary_status - The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:datasetArn:DatasetSummary', datasetSummary_datasetArn - The Amazon Resource Name (ARN) of the dataset.

$sel:lastUpdatedDateTime:DatasetSummary', datasetSummary_lastUpdatedDateTime - The date and time (in Unix time) that the dataset was last updated.

$sel:name:DatasetSummary', datasetSummary_name - The name of the dataset.

$sel:datasetType:DatasetSummary', datasetSummary_datasetType - The dataset type. One of the following values:

Interactions
Items
Users
Event-Interactions

$sel:creationDateTime:DatasetSummary', datasetSummary_creationDateTime - The date and time (in Unix time) that the dataset was created.

datasetSummary_status :: Lens' DatasetSummary (Maybe Text) Source #

The status of the dataset.

A dataset can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

datasetSummary_datasetArn :: Lens' DatasetSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset.

datasetSummary_lastUpdatedDateTime :: Lens' DatasetSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset was last updated.

datasetSummary_name :: Lens' DatasetSummary (Maybe Text) Source #

The name of the dataset.

datasetSummary_datasetType :: Lens' DatasetSummary (Maybe Text) Source #

The dataset type. One of the following values:

Interactions
Items
Users
Event-Interactions

datasetSummary_creationDateTime :: Lens' DatasetSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the dataset was created.

DefaultCategoricalHyperParameterRange

data DefaultCategoricalHyperParameterRange Source #

Provides the name and default range of a categorical hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

See: newDefaultCategoricalHyperParameterRange smart constructor.

Constructors

DefaultCategoricalHyperParameterRange'
Fields isTunable :: Maybe Bool Whether the hyperparameter is tunable. values :: Maybe [Text] A list of the categories for the hyperparameter. name :: Maybe Text The name of the hyperparameter.

Instances

Instances details

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

newDefaultCategoricalHyperParameterRange :: DefaultCategoricalHyperParameterRange Source #

Create a value of DefaultCategoricalHyperParameterRange with all optional fields omitted.

Use 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:DefaultCategoricalHyperParameterRange', defaultCategoricalHyperParameterRange_isTunable - Whether the hyperparameter is tunable.

$sel:values:DefaultCategoricalHyperParameterRange', defaultCategoricalHyperParameterRange_values - A list of the categories for the hyperparameter.

$sel:name:DefaultCategoricalHyperParameterRange', defaultCategoricalHyperParameterRange_name - The name of the hyperparameter.

defaultCategoricalHyperParameterRange_isTunable :: Lens' DefaultCategoricalHyperParameterRange (Maybe Bool) Source #

Whether the hyperparameter is tunable.

defaultCategoricalHyperParameterRange_values :: Lens' DefaultCategoricalHyperParameterRange (Maybe [Text]) Source #

A list of the categories for the hyperparameter.

defaultCategoricalHyperParameterRange_name :: Lens' DefaultCategoricalHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

DefaultContinuousHyperParameterRange

data DefaultContinuousHyperParameterRange Source #

Provides the name and default range of a continuous hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

See: newDefaultContinuousHyperParameterRange smart constructor.

Constructors

DefaultContinuousHyperParameterRange'
Fields maxValue :: Maybe Double The maximum allowable value for the hyperparameter. isTunable :: Maybe Bool Whether the hyperparameter is tunable. name :: Maybe Text The name of the hyperparameter. minValue :: Maybe Double The minimum allowable value for the hyperparameter.

Instances

Instances details

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

newDefaultContinuousHyperParameterRange :: DefaultContinuousHyperParameterRange Source #

Create a value of DefaultContinuousHyperParameterRange with all optional fields omitted.

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

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

$sel:maxValue:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:isTunable:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_isTunable - Whether the hyperparameter is tunable.

$sel:name:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_name - The name of the hyperparameter.

$sel:minValue:DefaultContinuousHyperParameterRange', defaultContinuousHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

defaultContinuousHyperParameterRange_maxValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double) Source #

The maximum allowable value for the hyperparameter.

defaultContinuousHyperParameterRange_isTunable :: Lens' DefaultContinuousHyperParameterRange (Maybe Bool) Source #

Whether the hyperparameter is tunable.

defaultContinuousHyperParameterRange_name :: Lens' DefaultContinuousHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

defaultContinuousHyperParameterRange_minValue :: Lens' DefaultContinuousHyperParameterRange (Maybe Double) Source #

The minimum allowable value for the hyperparameter.

DefaultHyperParameterRanges

data DefaultHyperParameterRanges Source #

Specifies the hyperparameters and their default ranges. Hyperparameters can be categorical, continuous, or integer-valued.

See: newDefaultHyperParameterRanges smart constructor.

Constructors

DefaultHyperParameterRanges'

Fields

integerHyperParameterRanges :: Maybe [DefaultIntegerHyperParameterRange]
The integer-valued hyperparameters and their default ranges.
categoricalHyperParameterRanges :: Maybe [DefaultCategoricalHyperParameterRange]
The categorical hyperparameters and their default ranges.
continuousHyperParameterRanges :: Maybe [DefaultContinuousHyperParameterRange]
The continuous hyperparameters and their default ranges.

Instances

Instances details

Eq DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods (==) :: DefaultHyperParameterRanges -> DefaultHyperParameterRanges -> Bool # (/=) :: DefaultHyperParameterRanges -> DefaultHyperParameterRanges -> Bool #
Read DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods readsPrec :: Int -> ReadS DefaultHyperParameterRanges # readList :: ReadS [DefaultHyperParameterRanges] # readPrec :: ReadPrec DefaultHyperParameterRanges # readListPrec :: ReadPrec [DefaultHyperParameterRanges] #
Show DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods showsPrec :: Int -> DefaultHyperParameterRanges -> ShowS # show :: DefaultHyperParameterRanges -> String # showList :: [DefaultHyperParameterRanges] -> ShowS #
Generic DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Associated Types type Rep DefaultHyperParameterRanges :: Type -> Type # Methods from :: DefaultHyperParameterRanges -> Rep DefaultHyperParameterRanges x # to :: Rep DefaultHyperParameterRanges x -> DefaultHyperParameterRanges #
NFData DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods rnf :: DefaultHyperParameterRanges -> () #
Hashable DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods hashWithSalt :: Int -> DefaultHyperParameterRanges -> Int # hash :: DefaultHyperParameterRanges -> Int #
FromJSON DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges Methods parseJSON :: Value -> Parser DefaultHyperParameterRanges # parseJSONList :: Value -> Parser [DefaultHyperParameterRanges] #
type Rep DefaultHyperParameterRanges Source #
Instance details Defined in Amazonka.Personalize.Types.DefaultHyperParameterRanges type Rep DefaultHyperParameterRanges = D1 ('MetaData "DefaultHyperParameterRanges" "Amazonka.Personalize.Types.DefaultHyperParameterRanges" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "DefaultHyperParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "integerHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DefaultIntegerHyperParameterRange])) :: (S1 ('MetaSel ('Just "categoricalHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DefaultCategoricalHyperParameterRange])) :: S1 ('MetaSel ('Just "continuousHyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DefaultContinuousHyperParameterRange])))))

newDefaultHyperParameterRanges :: DefaultHyperParameterRanges Source #

Create a value of DefaultHyperParameterRanges with all optional fields omitted.

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

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

$sel:integerHyperParameterRanges:DefaultHyperParameterRanges', defaultHyperParameterRanges_integerHyperParameterRanges - The integer-valued hyperparameters and their default ranges.

$sel:categoricalHyperParameterRanges:DefaultHyperParameterRanges', defaultHyperParameterRanges_categoricalHyperParameterRanges - The categorical hyperparameters and their default ranges.

$sel:continuousHyperParameterRanges:DefaultHyperParameterRanges', defaultHyperParameterRanges_continuousHyperParameterRanges - The continuous hyperparameters and their default ranges.

defaultHyperParameterRanges_integerHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultIntegerHyperParameterRange]) Source #

The integer-valued hyperparameters and their default ranges.

defaultHyperParameterRanges_categoricalHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultCategoricalHyperParameterRange]) Source #

The categorical hyperparameters and their default ranges.

defaultHyperParameterRanges_continuousHyperParameterRanges :: Lens' DefaultHyperParameterRanges (Maybe [DefaultContinuousHyperParameterRange]) Source #

The continuous hyperparameters and their default ranges.

DefaultIntegerHyperParameterRange

data DefaultIntegerHyperParameterRange Source #

Provides the name and default range of a integer-valued hyperparameter and whether the hyperparameter is tunable. A tunable hyperparameter can have its value determined during hyperparameter optimization (HPO).

See: newDefaultIntegerHyperParameterRange smart constructor.

Constructors

DefaultIntegerHyperParameterRange'
Fields maxValue :: Maybe Int The maximum allowable value for the hyperparameter. isTunable :: Maybe Bool Indicates whether the hyperparameter is tunable. name :: Maybe Text The name of the hyperparameter. minValue :: Maybe Int The minimum allowable value for the hyperparameter.

Instances

Instances details

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

newDefaultIntegerHyperParameterRange :: DefaultIntegerHyperParameterRange Source #

Create a value of DefaultIntegerHyperParameterRange with all optional fields omitted.

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

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

$sel:maxValue:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:isTunable:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_isTunable - Indicates whether the hyperparameter is tunable.

$sel:name:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_name - The name of the hyperparameter.

$sel:minValue:DefaultIntegerHyperParameterRange', defaultIntegerHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

defaultIntegerHyperParameterRange_maxValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int) Source #

The maximum allowable value for the hyperparameter.

defaultIntegerHyperParameterRange_isTunable :: Lens' DefaultIntegerHyperParameterRange (Maybe Bool) Source #

Indicates whether the hyperparameter is tunable.

defaultIntegerHyperParameterRange_name :: Lens' DefaultIntegerHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

defaultIntegerHyperParameterRange_minValue :: Lens' DefaultIntegerHyperParameterRange (Maybe Int) Source #

The minimum allowable value for the hyperparameter.

EventTracker

data EventTracker Source #

Provides information about an event tracker.

See: newEventTracker smart constructor.

Constructors

EventTracker'

Fields

status :: Maybe Text
The status of the event tracker.
An event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
trackingId :: Maybe Text
The ID of the event tracker. Include this ID in requests to the PutEvents API.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the event tracker was last updated.
accountId :: Maybe Text
The Amazon Web Services account that owns the event tracker.
name :: Maybe Text
The name of the event tracker.
creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the event tracker was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group that receives the event data.
eventTrackerArn :: Maybe Text
The ARN of the event tracker.

Instances

Instances details

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

newEventTracker :: EventTracker Source #

Create a value of EventTracker with all optional fields omitted.

Use 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:EventTracker', eventTracker_status - The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:trackingId:EventTracker', eventTracker_trackingId - The ID of the event tracker. Include this ID in requests to the PutEvents API.

$sel:lastUpdatedDateTime:EventTracker', eventTracker_lastUpdatedDateTime - The date and time (in Unix time) that the event tracker was last updated.

$sel:accountId:EventTracker', eventTracker_accountId - The Amazon Web Services account that owns the event tracker.

$sel:name:EventTracker', eventTracker_name - The name of the event tracker.

$sel:creationDateTime:EventTracker', eventTracker_creationDateTime - The date and time (in Unix format) that the event tracker was created.

$sel:datasetGroupArn:EventTracker', eventTracker_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that receives the event data.

$sel:eventTrackerArn:EventTracker', eventTracker_eventTrackerArn - The ARN of the event tracker.

eventTracker_status :: Lens' EventTracker (Maybe Text) Source #

The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

eventTracker_trackingId :: Lens' EventTracker (Maybe Text) Source #

The ID of the event tracker. Include this ID in requests to the PutEvents API.

eventTracker_lastUpdatedDateTime :: Lens' EventTracker (Maybe UTCTime) Source #

The date and time (in Unix time) that the event tracker was last updated.

eventTracker_accountId :: Lens' EventTracker (Maybe Text) Source #

The Amazon Web Services account that owns the event tracker.

eventTracker_name :: Lens' EventTracker (Maybe Text) Source #

The name of the event tracker.

eventTracker_creationDateTime :: Lens' EventTracker (Maybe UTCTime) Source #

The date and time (in Unix format) that the event tracker was created.

eventTracker_datasetGroupArn :: Lens' EventTracker (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group that receives the event data.

eventTracker_eventTrackerArn :: Lens' EventTracker (Maybe Text) Source #

The ARN of the event tracker.

EventTrackerSummary

data EventTrackerSummary Source #

Provides a summary of the properties of an event tracker. For a complete listing, call the DescribeEventTracker API.

See: newEventTrackerSummary smart constructor.

Constructors

EventTrackerSummary'

Fields

status :: Maybe Text
The status of the event tracker.
An event tracker can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the event tracker was last updated.
name :: Maybe Text
The name of the event tracker.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the event tracker was created.
eventTrackerArn :: Maybe Text
The Amazon Resource Name (ARN) of the event tracker.

Instances

Instances details

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

newEventTrackerSummary :: EventTrackerSummary Source #

Create a value of EventTrackerSummary with all optional fields omitted.

Use 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:EventTrackerSummary', eventTrackerSummary_status - The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:lastUpdatedDateTime:EventTrackerSummary', eventTrackerSummary_lastUpdatedDateTime - The date and time (in Unix time) that the event tracker was last updated.

$sel:name:EventTrackerSummary', eventTrackerSummary_name - The name of the event tracker.

$sel:creationDateTime:EventTrackerSummary', eventTrackerSummary_creationDateTime - The date and time (in Unix time) that the event tracker was created.

$sel:eventTrackerArn:EventTrackerSummary', eventTrackerSummary_eventTrackerArn - The Amazon Resource Name (ARN) of the event tracker.

eventTrackerSummary_status :: Lens' EventTrackerSummary (Maybe Text) Source #

The status of the event tracker.

An event tracker can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

eventTrackerSummary_lastUpdatedDateTime :: Lens' EventTrackerSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the event tracker was last updated.

eventTrackerSummary_name :: Lens' EventTrackerSummary (Maybe Text) Source #

The name of the event tracker.

eventTrackerSummary_creationDateTime :: Lens' EventTrackerSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the event tracker was created.

eventTrackerSummary_eventTrackerArn :: Lens' EventTrackerSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the event tracker.

FeatureTransformation

data FeatureTransformation Source #

Provides feature transformation information. Feature transformation is the process of modifying raw input data into a form more suitable for model training.

See: newFeatureTransformation smart constructor.

Constructors

FeatureTransformation'

Fields

status :: Maybe Text
The status of the feature transformation.
A feature transformation can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
featureTransformationArn :: Maybe Text
The Amazon Resource Name (ARN) of the FeatureTransformation object.
lastUpdatedDateTime :: Maybe POSIX
The last update date and time (in Unix time) of the feature transformation.
name :: Maybe Text
The name of the feature transformation.
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the feature transformation.
defaultParameters :: Maybe (HashMap Text Text)
Provides the default parameters for feature transformation.

Instances

Instances details

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

newFeatureTransformation :: FeatureTransformation Source #

Create a value of FeatureTransformation with all optional fields omitted.

Use 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:FeatureTransformation', featureTransformation_status - The status of the feature transformation.

A feature transformation can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

$sel:featureTransformationArn:FeatureTransformation', featureTransformation_featureTransformationArn - The Amazon Resource Name (ARN) of the FeatureTransformation object.

$sel:lastUpdatedDateTime:FeatureTransformation', featureTransformation_lastUpdatedDateTime - The last update date and time (in Unix time) of the feature transformation.

$sel:name:FeatureTransformation', featureTransformation_name - The name of the feature transformation.

$sel:creationDateTime:FeatureTransformation', featureTransformation_creationDateTime - The creation date and time (in Unix time) of the feature transformation.

$sel:defaultParameters:FeatureTransformation', featureTransformation_defaultParameters - Provides the default parameters for feature transformation.

featureTransformation_status :: Lens' FeatureTransformation (Maybe Text) Source #

The status of the feature transformation.

A feature transformation can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

featureTransformation_featureTransformationArn :: Lens' FeatureTransformation (Maybe Text) Source #

The Amazon Resource Name (ARN) of the FeatureTransformation object.

featureTransformation_lastUpdatedDateTime :: Lens' FeatureTransformation (Maybe UTCTime) Source #

The last update date and time (in Unix time) of the feature transformation.

featureTransformation_name :: Lens' FeatureTransformation (Maybe Text) Source #

The name of the feature transformation.

featureTransformation_creationDateTime :: Lens' FeatureTransformation (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the feature transformation.

featureTransformation_defaultParameters :: Lens' FeatureTransformation (Maybe (HashMap Text Text)) Source #

Provides the default parameters for feature transformation.

Filter

data Filter Source #

Contains information on a recommendation filter, including its ARN, status, and filter expression.

See: newFilter smart constructor.

Constructors

Filter'

Fields

failureReason :: Maybe Text
If the filter failed, the reason for its failure.
status :: Maybe Text
The status of the filter.
filterExpression :: Maybe (Sensitive Text)
Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see filter-expressions.
lastUpdatedDateTime :: Maybe POSIX
The time at which the filter was last updated.
name :: Maybe Text
The name of the filter.
filterArn :: Maybe Text
The ARN of the filter.
creationDateTime :: Maybe POSIX
The time at which the filter was created.
datasetGroupArn :: Maybe Text
The ARN of the dataset group to which the filter belongs.

Instances

Instances details

Eq Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
Show Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods showsPrec :: Int -> Filter -> ShowS # show :: Filter -> String # showList :: [Filter] -> ShowS #
Generic Filter Source #
Instance details Defined in Amazonka.Personalize.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.Personalize.Types.Filter Methods rnf :: Filter -> () #
Hashable Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods hashWithSalt :: Int -> Filter -> Int # hash :: Filter -> Int #
FromJSON Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter Methods parseJSON :: Value -> Parser Filter # parseJSONList :: Value -> Parser [Filter] #
type Rep Filter Source #
Instance details Defined in Amazonka.Personalize.Types.Filter type Rep Filter = D1 ('MetaData "Filter" "Amazonka.Personalize.Types.Filter" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "Filter'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "filterExpression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "filterArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :: (S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newFilter :: Filter Source #

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:failureReason:Filter', filter_failureReason - If the filter failed, the reason for its failure.

$sel:status:Filter', filter_status - The status of the filter.

$sel:filterExpression:Filter', filter_filterExpression - Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see filter-expressions.

$sel:lastUpdatedDateTime:Filter', filter_lastUpdatedDateTime - The time at which the filter was last updated.

$sel:name:Filter', filter_name - The name of the filter.

$sel:filterArn:Filter', filter_filterArn - The ARN of the filter.

$sel:creationDateTime:Filter', filter_creationDateTime - The time at which the filter was created.

$sel:datasetGroupArn:Filter', filter_datasetGroupArn - The ARN of the dataset group to which the filter belongs.

filter_failureReason :: Lens' Filter (Maybe Text) Source #

If the filter failed, the reason for its failure.

filter_status :: Lens' Filter (Maybe Text) Source #

The status of the filter.

filter_filterExpression :: Lens' Filter (Maybe Text) Source #

Specifies the type of item interactions to filter out of recommendation results. The filter expression must follow specific format rules. For information about filter expression structure and syntax, see filter-expressions.

filter_lastUpdatedDateTime :: Lens' Filter (Maybe UTCTime) Source #

The time at which the filter was last updated.

filter_name :: Lens' Filter (Maybe Text) Source #

The name of the filter.

filter_filterArn :: Lens' Filter (Maybe Text) Source #

The ARN of the filter.

filter_creationDateTime :: Lens' Filter (Maybe UTCTime) Source #

The time at which the filter was created.

filter_datasetGroupArn :: Lens' Filter (Maybe Text) Source #

The ARN of the dataset group to which the filter belongs.

FilterSummary

data FilterSummary Source #

A short summary of a filter's attributes.

See: newFilterSummary smart constructor.

Constructors

FilterSummary'

Fields

failureReason :: Maybe Text
If the filter failed, the reason for the failure.
status :: Maybe Text
The status of the filter.
lastUpdatedDateTime :: Maybe POSIX
The time at which the filter was last updated.
name :: Maybe Text
The name of the filter.
filterArn :: Maybe Text
The ARN of the filter.
creationDateTime :: Maybe POSIX
The time at which the filter was created.
datasetGroupArn :: Maybe Text
The ARN of the dataset group to which the filter belongs.

Instances

Instances details

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

newFilterSummary :: FilterSummary Source #

Create a value of FilterSummary with all optional fields omitted.

Use 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:FilterSummary', filterSummary_failureReason - If the filter failed, the reason for the failure.

$sel:status:FilterSummary', filterSummary_status - The status of the filter.

$sel:lastUpdatedDateTime:FilterSummary', filterSummary_lastUpdatedDateTime - The time at which the filter was last updated.

$sel:name:FilterSummary', filterSummary_name - The name of the filter.

$sel:filterArn:FilterSummary', filterSummary_filterArn - The ARN of the filter.

$sel:creationDateTime:FilterSummary', filterSummary_creationDateTime - The time at which the filter was created.

$sel:datasetGroupArn:FilterSummary', filterSummary_datasetGroupArn - The ARN of the dataset group to which the filter belongs.

filterSummary_failureReason :: Lens' FilterSummary (Maybe Text) Source #

If the filter failed, the reason for the failure.

filterSummary_status :: Lens' FilterSummary (Maybe Text) Source #

The status of the filter.

filterSummary_lastUpdatedDateTime :: Lens' FilterSummary (Maybe UTCTime) Source #

The time at which the filter was last updated.

filterSummary_name :: Lens' FilterSummary (Maybe Text) Source #

The name of the filter.

filterSummary_filterArn :: Lens' FilterSummary (Maybe Text) Source #

The ARN of the filter.

filterSummary_creationDateTime :: Lens' FilterSummary (Maybe UTCTime) Source #

The time at which the filter was created.

filterSummary_datasetGroupArn :: Lens' FilterSummary (Maybe Text) Source #

The ARN of the dataset group to which the filter belongs.

HPOConfig

data HPOConfig Source #

Describes the properties for hyperparameter optimization (HPO).

See: newHPOConfig smart constructor.

Constructors

HPOConfig'
Fields algorithmHyperParameterRanges :: Maybe HyperParameterRanges The hyperparameters and their allowable ranges. hpoResourceConfig :: Maybe HPOResourceConfig Describes the resource configuration for HPO. hpoObjective :: Maybe HPOObjective The metric to optimize during HPO. Amazon Personalize doesn't support configuring the `hpoObjective` at this time.

Instances

Instances details

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

newHPOConfig :: HPOConfig Source #

Create a value of HPOConfig with all optional fields omitted.

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

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

$sel:algorithmHyperParameterRanges:HPOConfig', hPOConfig_algorithmHyperParameterRanges - The hyperparameters and their allowable ranges.

$sel:hpoResourceConfig:HPOConfig', hPOConfig_hpoResourceConfig - Describes the resource configuration for HPO.

$sel:hpoObjective:HPOConfig', hPOConfig_hpoObjective - The metric to optimize during HPO.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

hPOConfig_algorithmHyperParameterRanges :: Lens' HPOConfig (Maybe HyperParameterRanges) Source #

The hyperparameters and their allowable ranges.

hPOConfig_hpoResourceConfig :: Lens' HPOConfig (Maybe HPOResourceConfig) Source #

Describes the resource configuration for HPO.

hPOConfig_hpoObjective :: Lens' HPOConfig (Maybe HPOObjective) Source #

The metric to optimize during HPO.

Amazon Personalize doesn't support configuring the hpoObjective at this time.

HPOObjective

data HPOObjective Source #

The metric to optimize during hyperparameter optimization (HPO).

Amazon Personalize doesn't support configuring the hpoObjective at this time.

See: newHPOObjective smart constructor.

Constructors

HPOObjective'
Fields metricName :: Maybe Text The name of the metric. type' :: Maybe Text The type of the metric. Valid values are `Maximize` and `Minimize`. metricRegex :: Maybe Text A regular expression for finding the metric in the training job logs.

Instances

Instances details

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

newHPOObjective :: HPOObjective Source #

Create a value of HPOObjective with all optional fields omitted.

Use 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:HPOObjective', hPOObjective_metricName - The name of the metric.

$sel:type':HPOObjective', hPOObjective_type - The type of the metric. Valid values are Maximize and Minimize.

$sel:metricRegex:HPOObjective', hPOObjective_metricRegex - A regular expression for finding the metric in the training job logs.

hPOObjective_metricName :: Lens' HPOObjective (Maybe Text) Source #

The name of the metric.

hPOObjective_type :: Lens' HPOObjective (Maybe Text) Source #

The type of the metric. Valid values are Maximize and Minimize.

hPOObjective_metricRegex :: Lens' HPOObjective (Maybe Text) Source #

A regular expression for finding the metric in the training job logs.

HPOResourceConfig

data HPOResourceConfig Source #

Describes the resource configuration for hyperparameter optimization (HPO).

See: newHPOResourceConfig smart constructor.

Constructors

HPOResourceConfig'
Fields maxNumberOfTrainingJobs :: Maybe Text The maximum number of training jobs when you create a solution version. The maximum value for `maxNumberOfTrainingJobs` is `40`. maxParallelTrainingJobs :: Maybe Text The maximum number of parallel training jobs when you create a solution version. The maximum value for `maxParallelTrainingJobs` is `10`.

Instances

Instances details

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

newHPOResourceConfig :: HPOResourceConfig Source #

Create a value of HPOResourceConfig with all optional fields omitted.

Use 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:HPOResourceConfig', hPOResourceConfig_maxNumberOfTrainingJobs - The maximum number of training jobs when you create a solution version. The maximum value for maxNumberOfTrainingJobs is 40.

$sel:maxParallelTrainingJobs:HPOResourceConfig', hPOResourceConfig_maxParallelTrainingJobs - The maximum number of parallel training jobs when you create a solution version. The maximum value for maxParallelTrainingJobs is 10.

hPOResourceConfig_maxNumberOfTrainingJobs :: Lens' HPOResourceConfig (Maybe Text) Source #

The maximum number of training jobs when you create a solution version. The maximum value for maxNumberOfTrainingJobs is 40.

hPOResourceConfig_maxParallelTrainingJobs :: Lens' HPOResourceConfig (Maybe Text) Source #

The maximum number of parallel training jobs when you create a solution version. The maximum value for maxParallelTrainingJobs is 10.

HyperParameterRanges

data HyperParameterRanges Source #

Specifies the hyperparameters and their ranges. Hyperparameters can be categorical, continuous, or integer-valued.

See: newHyperParameterRanges smart constructor.

Constructors

HyperParameterRanges'
Fields integerHyperParameterRanges :: Maybe [IntegerHyperParameterRange] The integer-valued hyperparameters and their ranges. categoricalHyperParameterRanges :: Maybe [CategoricalHyperParameterRange] The categorical hyperparameters and their ranges. continuousHyperParameterRanges :: Maybe [ContinuousHyperParameterRange] The continuous hyperparameters and their ranges.

Instances

Instances details

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

newHyperParameterRanges :: HyperParameterRanges Source #

Create a value of HyperParameterRanges with all optional fields omitted.

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

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

$sel:integerHyperParameterRanges:HyperParameterRanges', hyperParameterRanges_integerHyperParameterRanges - The integer-valued hyperparameters and their ranges.

$sel:categoricalHyperParameterRanges:HyperParameterRanges', hyperParameterRanges_categoricalHyperParameterRanges - The categorical hyperparameters and their ranges.

$sel:continuousHyperParameterRanges:HyperParameterRanges', hyperParameterRanges_continuousHyperParameterRanges - The continuous hyperparameters and their ranges.

hyperParameterRanges_integerHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [IntegerHyperParameterRange]) Source #

The integer-valued hyperparameters and their ranges.

hyperParameterRanges_categoricalHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [CategoricalHyperParameterRange]) Source #

The categorical hyperparameters and their ranges.

hyperParameterRanges_continuousHyperParameterRanges :: Lens' HyperParameterRanges (Maybe [ContinuousHyperParameterRange]) Source #

The continuous hyperparameters and their ranges.

IntegerHyperParameterRange

data IntegerHyperParameterRange Source #

Provides the name and range of an integer-valued hyperparameter.

See: newIntegerHyperParameterRange smart constructor.

Constructors

IntegerHyperParameterRange'
Fields maxValue :: Maybe Int The maximum allowable value for the hyperparameter. name :: Maybe Text The name of the hyperparameter. minValue :: Maybe Int The minimum allowable value for the hyperparameter.

Instances

Instances details

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

newIntegerHyperParameterRange :: IntegerHyperParameterRange Source #

Create a value of IntegerHyperParameterRange with all optional fields omitted.

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

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

$sel:maxValue:IntegerHyperParameterRange', integerHyperParameterRange_maxValue - The maximum allowable value for the hyperparameter.

$sel:name:IntegerHyperParameterRange', integerHyperParameterRange_name - The name of the hyperparameter.

$sel:minValue:IntegerHyperParameterRange', integerHyperParameterRange_minValue - The minimum allowable value for the hyperparameter.

integerHyperParameterRange_maxValue :: Lens' IntegerHyperParameterRange (Maybe Int) Source #

The maximum allowable value for the hyperparameter.

integerHyperParameterRange_name :: Lens' IntegerHyperParameterRange (Maybe Text) Source #

The name of the hyperparameter.

integerHyperParameterRange_minValue :: Lens' IntegerHyperParameterRange (Maybe Int) Source #

The minimum allowable value for the hyperparameter.

OptimizationObjective

data OptimizationObjective Source #

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

See: newOptimizationObjective smart constructor.

Constructors

OptimizationObjective'
Fields itemAttribute :: Maybe Text The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue). objectiveSensitivity :: Maybe ObjectiveSensitivity Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

Instances

Instances details

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

newOptimizationObjective :: OptimizationObjective Source #

Create a value of OptimizationObjective with all optional fields omitted.

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

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

$sel:itemAttribute:OptimizationObjective', optimizationObjective_itemAttribute - The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue).

$sel:objectiveSensitivity:OptimizationObjective', optimizationObjective_objectiveSensitivity - Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

optimizationObjective_itemAttribute :: Lens' OptimizationObjective (Maybe Text) Source #

The numerical metadata column in an Items dataset related to the optimization objective. For example, VIDEO_LENGTH (to maximize streaming minutes), or PRICE (to maximize revenue).

optimizationObjective_objectiveSensitivity :: Lens' OptimizationObjective (Maybe ObjectiveSensitivity) Source #

Specifies how Amazon Personalize balances the importance of your optimization objective versus relevance.

Recipe

data Recipe Source #

Provides information about a recipe. Each recipe provides an algorithm that Amazon Personalize uses in model training when you use the CreateSolution operation.

See: newRecipe smart constructor.

Constructors

Recipe'

Fields

status :: Maybe Text
The status of the recipe.
algorithmArn :: Maybe Text
The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.
recipeArn :: Maybe Text
The Amazon Resource Name (ARN) of the recipe.
featureTransformationArn :: Maybe Text
The ARN of the FeatureTransformation object.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix format) that the recipe was last updated.
name :: Maybe Text
The name of the recipe.
creationDateTime :: Maybe POSIX
The date and time (in Unix format) that the recipe was created.
recipeType :: Maybe Text
One of the following values:
- PERSONALIZED_RANKING
- RELATED_ITEMS
- USER_PERSONALIZATION
description :: Maybe Text
The description of the recipe.

Instances

Instances details

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

newRecipe :: Recipe Source #

Create a value of Recipe with all optional fields omitted.

Use 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:Recipe', recipe_status - The status of the recipe.

$sel:algorithmArn:Recipe', recipe_algorithmArn - The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.

$sel:recipeArn:Recipe', recipe_recipeArn - The Amazon Resource Name (ARN) of the recipe.

$sel:featureTransformationArn:Recipe', recipe_featureTransformationArn - The ARN of the FeatureTransformation object.

$sel:lastUpdatedDateTime:Recipe', recipe_lastUpdatedDateTime - The date and time (in Unix format) that the recipe was last updated.

$sel:name:Recipe', recipe_name - The name of the recipe.

$sel:creationDateTime:Recipe', recipe_creationDateTime - The date and time (in Unix format) that the recipe was created.

$sel:recipeType:Recipe', recipe_recipeType - One of the following values:

PERSONALIZED_RANKING
RELATED_ITEMS
USER_PERSONALIZATION

$sel:description:Recipe', recipe_description - The description of the recipe.

recipe_status :: Lens' Recipe (Maybe Text) Source #

The status of the recipe.

recipe_algorithmArn :: Lens' Recipe (Maybe Text) Source #

The Amazon Resource Name (ARN) of the algorithm that Amazon Personalize uses to train the model.

recipe_recipeArn :: Lens' Recipe (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe.

recipe_featureTransformationArn :: Lens' Recipe (Maybe Text) Source #

The ARN of the FeatureTransformation object.

recipe_lastUpdatedDateTime :: Lens' Recipe (Maybe UTCTime) Source #

The date and time (in Unix format) that the recipe was last updated.

recipe_name :: Lens' Recipe (Maybe Text) Source #

The name of the recipe.

recipe_creationDateTime :: Lens' Recipe (Maybe UTCTime) Source #

The date and time (in Unix format) that the recipe was created.

recipe_recipeType :: Lens' Recipe (Maybe Text) Source #

One of the following values:

PERSONALIZED_RANKING
RELATED_ITEMS
USER_PERSONALIZATION

recipe_description :: Lens' Recipe (Maybe Text) Source #

The description of the recipe.

RecipeSummary

data RecipeSummary Source #

Provides a summary of the properties of a recipe. For a complete listing, call the DescribeRecipe API.

See: newRecipeSummary smart constructor.

Constructors

RecipeSummary'
Fields status :: Maybe Text The status of the recipe. recipeArn :: Maybe Text The Amazon Resource Name (ARN) of the recipe. lastUpdatedDateTime :: Maybe POSIX The date and time (in Unix time) that the recipe was last updated. name :: Maybe Text The name of the recipe. creationDateTime :: Maybe POSIX The date and time (in Unix time) that the recipe was created.

Instances

Instances details

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

newRecipeSummary :: RecipeSummary Source #

Create a value of RecipeSummary with all optional fields omitted.

Use 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:RecipeSummary', recipeSummary_status - The status of the recipe.

$sel:recipeArn:RecipeSummary', recipeSummary_recipeArn - The Amazon Resource Name (ARN) of the recipe.

$sel:lastUpdatedDateTime:RecipeSummary', recipeSummary_lastUpdatedDateTime - The date and time (in Unix time) that the recipe was last updated.

$sel:name:RecipeSummary', recipeSummary_name - The name of the recipe.

$sel:creationDateTime:RecipeSummary', recipeSummary_creationDateTime - The date and time (in Unix time) that the recipe was created.

recipeSummary_status :: Lens' RecipeSummary (Maybe Text) Source #

The status of the recipe.

recipeSummary_recipeArn :: Lens' RecipeSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the recipe.

recipeSummary_lastUpdatedDateTime :: Lens' RecipeSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the recipe was last updated.

recipeSummary_name :: Lens' RecipeSummary (Maybe Text) Source #

The name of the recipe.

recipeSummary_creationDateTime :: Lens' RecipeSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the recipe was created.

S3DataConfig

data S3DataConfig Source #

The configuration details of an Amazon S3 input or output bucket.

See: newS3DataConfig smart constructor.

Constructors

S3DataConfig'
Fields kmsKeyArn :: Maybe Text The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job. path :: Text The file path of the Amazon S3 bucket.

Instances

Instances details

Eq S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods (==) :: S3DataConfig -> S3DataConfig -> Bool # (/=) :: S3DataConfig -> S3DataConfig -> Bool #
Read S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods readsPrec :: Int -> ReadS S3DataConfig # readList :: ReadS [S3DataConfig] # readPrec :: ReadPrec S3DataConfig # readListPrec :: ReadPrec [S3DataConfig] #
Show S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods showsPrec :: Int -> S3DataConfig -> ShowS # show :: S3DataConfig -> String # showList :: [S3DataConfig] -> ShowS #
Generic S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Associated Types type Rep S3DataConfig :: Type -> Type # Methods from :: S3DataConfig -> Rep S3DataConfig x # to :: Rep S3DataConfig x -> S3DataConfig #
NFData S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods rnf :: S3DataConfig -> () #
Hashable S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods hashWithSalt :: Int -> S3DataConfig -> Int # hash :: S3DataConfig -> Int #
ToJSON S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods toJSON :: S3DataConfig -> Value # toEncoding :: S3DataConfig -> Encoding # toJSONList :: [S3DataConfig] -> Value # toEncodingList :: [S3DataConfig] -> Encoding #
FromJSON S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig Methods parseJSON :: Value -> Parser S3DataConfig # parseJSONList :: Value -> Parser [S3DataConfig] #
type Rep S3DataConfig Source #
Instance details Defined in Amazonka.Personalize.Types.S3DataConfig type Rep S3DataConfig = D1 ('MetaData "S3DataConfig" "Amazonka.Personalize.Types.S3DataConfig" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "S3DataConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "path") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newS3DataConfig Source #

Arguments

:: Text	`$sel:path:S3DataConfig'`
-> S3DataConfig

Create a value of S3DataConfig with all optional fields omitted.

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

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

$sel:kmsKeyArn:S3DataConfig', s3DataConfig_kmsKeyArn - The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.

$sel:path:S3DataConfig', s3DataConfig_path - The file path of the Amazon S3 bucket.

s3DataConfig_kmsKeyArn :: Lens' S3DataConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files of a batch inference job.

s3DataConfig_path :: Lens' S3DataConfig Text Source #

The file path of the Amazon S3 bucket.

Solution

data Solution Source #

An object that provides information about a solution. A solution is a trained model that can be deployed as a campaign.

See: newSolution smart constructor.

Constructors

Solution'

Fields

solutionArn :: Maybe Text
The ARN of the solution.
status :: Maybe Text
The status of the solution.
A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
performAutoML :: Maybe Bool
When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.
recipeArn :: Maybe Text
The ARN of the recipe used to create the solution.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was last updated.
eventType :: Maybe Text
The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.
name :: Maybe Text
The name of the solution.
autoMLResult :: Maybe AutoMLResult
When performAutoML is true, specifies the best recipe found.
creationDateTime :: Maybe POSIX
The creation date and time (in Unix time) of the solution.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group that provides the training data.
latestSolutionVersion :: Maybe SolutionVersionSummary
Describes the latest version of the solution, including the status and the ARN.
solutionConfig :: Maybe SolutionConfig
Describes the configuration properties for the solution.
performHPO :: Maybe Bool
Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

Instances

Instances details

Eq Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods (==) :: Solution -> Solution -> Bool # (/=) :: Solution -> Solution -> Bool #
Read Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods readsPrec :: Int -> ReadS Solution # readList :: ReadS [Solution] # readPrec :: ReadPrec Solution # readListPrec :: ReadPrec [Solution] #
Show Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods showsPrec :: Int -> Solution -> ShowS # show :: Solution -> String # showList :: [Solution] -> ShowS #
Generic Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Associated Types type Rep Solution :: Type -> Type # Methods from :: Solution -> Rep Solution x # to :: Rep Solution x -> Solution #
NFData Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods rnf :: Solution -> () #
Hashable Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods hashWithSalt :: Int -> Solution -> Int # hash :: Solution -> Int #
FromJSON Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution Methods parseJSON :: Value -> Parser Solution # parseJSONList :: Value -> Parser [Solution] #
type Rep Solution Source #
Instance details Defined in Amazonka.Personalize.Types.Solution type Rep Solution = D1 ('MetaData "Solution" "Amazonka.Personalize.Types.Solution" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "Solution'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "solutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :: (S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: S1 ('MetaSel ('Just "eventType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :: ((S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "autoMLResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLResult)) :: S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :: ((S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "latestSolutionVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionVersionSummary))) :: (S1 ('MetaSel ('Just "solutionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionConfig)) :: S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))))))

newSolution :: Solution Source #

Create a value of Solution with all optional fields omitted.

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

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

$sel:solutionArn:Solution', solution_solutionArn - The ARN of the solution.

$sel:status:Solution', solution_status - The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:performAutoML:Solution', solution_performAutoML - When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

$sel:recipeArn:Solution', solution_recipeArn - The ARN of the recipe used to create the solution.

$sel:lastUpdatedDateTime:Solution', solution_lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.

$sel:eventType:Solution', solution_eventType - The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

$sel:name:Solution', solution_name - The name of the solution.

$sel:autoMLResult:Solution', solution_autoMLResult - When performAutoML is true, specifies the best recipe found.

$sel:creationDateTime:Solution', solution_creationDateTime - The creation date and time (in Unix time) of the solution.

$sel:datasetGroupArn:Solution', solution_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group that provides the training data.

$sel:latestSolutionVersion:Solution', solution_latestSolutionVersion - Describes the latest version of the solution, including the status and the ARN.

$sel:solutionConfig:Solution', solution_solutionConfig - Describes the configuration properties for the solution.

$sel:performHPO:Solution', solution_performHPO - Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

solution_solutionArn :: Lens' Solution (Maybe Text) Source #

The ARN of the solution.

solution_status :: Lens' Solution (Maybe Text) Source #

The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

solution_performAutoML :: Lens' Solution (Maybe Bool) Source #

When true, Amazon Personalize performs a search for the best USER_PERSONALIZATION recipe from the list specified in the solution configuration (recipeArn must not be specified). When false (the default), Amazon Personalize uses recipeArn for training.

solution_recipeArn :: Lens' Solution (Maybe Text) Source #

The ARN of the recipe used to create the solution.

solution_lastUpdatedDateTime :: Lens' Solution (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was last updated.

solution_eventType :: Lens' Solution (Maybe Text) Source #

The event type (for example, 'click' or 'like') that is used for training the model. If no eventType is provided, Amazon Personalize uses all interactions for training with equal weight regardless of type.

solution_name :: Lens' Solution (Maybe Text) Source #

The name of the solution.

solution_autoMLResult :: Lens' Solution (Maybe AutoMLResult) Source #

When performAutoML is true, specifies the best recipe found.

solution_creationDateTime :: Lens' Solution (Maybe UTCTime) Source #

The creation date and time (in Unix time) of the solution.

solution_datasetGroupArn :: Lens' Solution (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group that provides the training data.

solution_latestSolutionVersion :: Lens' Solution (Maybe SolutionVersionSummary) Source #

Describes the latest version of the solution, including the status and the ARN.

solution_solutionConfig :: Lens' Solution (Maybe SolutionConfig) Source #

Describes the configuration properties for the solution.

solution_performHPO :: Lens' Solution (Maybe Bool) Source #

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

SolutionConfig

data SolutionConfig Source #

Describes the configuration properties for the solution.

See: newSolutionConfig smart constructor.

Constructors

SolutionConfig'

Fields

featureTransformationParameters :: Maybe (HashMap Text Text)
Lists the feature transformation parameters.
hpoConfig :: Maybe HPOConfig
Describes the properties for hyperparameter optimization (HPO).
eventValueThreshold :: Maybe Text
Only events with a value greater than or equal to this threshold are used for training a model.
autoMLConfig :: Maybe AutoMLConfig
The AutoMLConfig object containing a list of recipes to search when AutoML is performed.
algorithmHyperParameters :: Maybe (HashMap Text Text)
Lists the hyperparameter names and ranges.
optimizationObjective :: Maybe OptimizationObjective
Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

Instances

Instances details

Eq SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods (==) :: SolutionConfig -> SolutionConfig -> Bool # (/=) :: SolutionConfig -> SolutionConfig -> Bool #
Read SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods readsPrec :: Int -> ReadS SolutionConfig # readList :: ReadS [SolutionConfig] # readPrec :: ReadPrec SolutionConfig # readListPrec :: ReadPrec [SolutionConfig] #
Show SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods showsPrec :: Int -> SolutionConfig -> ShowS # show :: SolutionConfig -> String # showList :: [SolutionConfig] -> ShowS #
Generic SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Associated Types type Rep SolutionConfig :: Type -> Type # Methods from :: SolutionConfig -> Rep SolutionConfig x # to :: Rep SolutionConfig x -> SolutionConfig #
NFData SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods rnf :: SolutionConfig -> () #
Hashable SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods hashWithSalt :: Int -> SolutionConfig -> Int # hash :: SolutionConfig -> Int #
ToJSON SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods toJSON :: SolutionConfig -> Value # toEncoding :: SolutionConfig -> Encoding # toJSONList :: [SolutionConfig] -> Value # toEncodingList :: [SolutionConfig] -> Encoding #
FromJSON SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig Methods parseJSON :: Value -> Parser SolutionConfig # parseJSONList :: Value -> Parser [SolutionConfig] #
type Rep SolutionConfig Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionConfig type Rep SolutionConfig = D1 ('MetaData "SolutionConfig" "Amazonka.Personalize.Types.SolutionConfig" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "SolutionConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "featureTransformationParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :: (S1 ('MetaSel ('Just "hpoConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HPOConfig)) :: S1 ('MetaSel ('Just "eventValueThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: (S1 ('MetaSel ('Just "autoMLConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLConfig)) :: (S1 ('MetaSel ('Just "algorithmHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "optimizationObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OptimizationObjective))))))

newSolutionConfig :: SolutionConfig Source #

Create a value of SolutionConfig with all optional fields omitted.

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

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

$sel:featureTransformationParameters:SolutionConfig', solutionConfig_featureTransformationParameters - Lists the feature transformation parameters.

$sel:hpoConfig:SolutionConfig', solutionConfig_hpoConfig - Describes the properties for hyperparameter optimization (HPO).

$sel:eventValueThreshold:SolutionConfig', solutionConfig_eventValueThreshold - Only events with a value greater than or equal to this threshold are used for training a model.

$sel:autoMLConfig:SolutionConfig', solutionConfig_autoMLConfig - The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

$sel:algorithmHyperParameters:SolutionConfig', solutionConfig_algorithmHyperParameters - Lists the hyperparameter names and ranges.

$sel:optimizationObjective:SolutionConfig', solutionConfig_optimizationObjective - Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

solutionConfig_featureTransformationParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text)) Source #

Lists the feature transformation parameters.

solutionConfig_hpoConfig :: Lens' SolutionConfig (Maybe HPOConfig) Source #

Describes the properties for hyperparameter optimization (HPO).

solutionConfig_eventValueThreshold :: Lens' SolutionConfig (Maybe Text) Source #

Only events with a value greater than or equal to this threshold are used for training a model.

solutionConfig_autoMLConfig :: Lens' SolutionConfig (Maybe AutoMLConfig) Source #

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

solutionConfig_algorithmHyperParameters :: Lens' SolutionConfig (Maybe (HashMap Text Text)) Source #

Lists the hyperparameter names and ranges.

solutionConfig_optimizationObjective :: Lens' SolutionConfig (Maybe OptimizationObjective) Source #

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

SolutionSummary

data SolutionSummary Source #

Provides a summary of the properties of a solution. For a complete listing, call the DescribeSolution API.

See: newSolutionSummary smart constructor.

Constructors

SolutionSummary'

Fields

solutionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution.
status :: Maybe Text
The status of the solution.
A solution can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
- DELETE PENDING > DELETE IN_PROGRESS
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was last updated.
name :: Maybe Text
The name of the solution.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was created.

Instances

Instances details

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

newSolutionSummary :: SolutionSummary Source #

Create a value of SolutionSummary with all optional fields omitted.

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

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

$sel:solutionArn:SolutionSummary', solutionSummary_solutionArn - The Amazon Resource Name (ARN) of the solution.

$sel:status:SolutionSummary', solutionSummary_status - The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

$sel:lastUpdatedDateTime:SolutionSummary', solutionSummary_lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.

$sel:name:SolutionSummary', solutionSummary_name - The name of the solution.

$sel:creationDateTime:SolutionSummary', solutionSummary_creationDateTime - The date and time (in Unix time) that the solution was created.

solutionSummary_solutionArn :: Lens' SolutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution.

solutionSummary_status :: Lens' SolutionSummary (Maybe Text) Source #

The status of the solution.

A solution can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
DELETE PENDING > DELETE IN_PROGRESS

solutionSummary_lastUpdatedDateTime :: Lens' SolutionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was last updated.

solutionSummary_name :: Lens' SolutionSummary (Maybe Text) Source #

The name of the solution.

solutionSummary_creationDateTime :: Lens' SolutionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was created.

SolutionVersion

data SolutionVersion Source #

An object that provides information about a specific version of a Solution.

See: newSolutionVersion smart constructor.

Constructors

SolutionVersion'

Fields

failureReason :: Maybe Text
If training a solution version fails, the reason for the failure.
solutionArn :: Maybe Text
The ARN of the solution.
status :: Maybe Text
The status of the solution version.
A solution version can be in one of the following states:
- CREATE PENDING
- CREATE IN_PROGRESS
- ACTIVE
- CREATE FAILED
- CREATE STOPPING
- CREATE STOPPED
performAutoML :: Maybe Bool
When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.
tunedHPOParams :: Maybe TunedHPOParams
If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.
recipeArn :: Maybe Text
The ARN of the recipe used in the solution.
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution was last updated.
eventType :: Maybe Text
The event type (for example, 'click' or 'like') that is used for training the model.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that this version of the solution was created.
datasetGroupArn :: Maybe Text
The Amazon Resource Name (ARN) of the dataset group providing the training data.
trainingMode :: Maybe TrainingMode
The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.
The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.
trainingHours :: Maybe Double
The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.
solutionConfig :: Maybe SolutionConfig
Describes the configuration properties for the solution.
performHPO :: Maybe Bool
Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
solutionVersionArn :: Maybe Text
The ARN of the solution version.

Instances

Instances details

Eq SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods (==) :: SolutionVersion -> SolutionVersion -> Bool # (/=) :: SolutionVersion -> SolutionVersion -> Bool #
Read SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods readsPrec :: Int -> ReadS SolutionVersion # readList :: ReadS [SolutionVersion] # readPrec :: ReadPrec SolutionVersion # readListPrec :: ReadPrec [SolutionVersion] #
Show SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods showsPrec :: Int -> SolutionVersion -> ShowS # show :: SolutionVersion -> String # showList :: [SolutionVersion] -> ShowS #
Generic SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Associated Types type Rep SolutionVersion :: Type -> Type # Methods from :: SolutionVersion -> Rep SolutionVersion x # to :: Rep SolutionVersion x -> SolutionVersion #
NFData SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods rnf :: SolutionVersion -> () #
Hashable SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods hashWithSalt :: Int -> SolutionVersion -> Int # hash :: SolutionVersion -> Int #
FromJSON SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion Methods parseJSON :: Value -> Parser SolutionVersion # parseJSONList :: Value -> Parser [SolutionVersion] #
type Rep SolutionVersion Source #
Instance details Defined in Amazonka.Personalize.Types.SolutionVersion type Rep SolutionVersion = D1 ('MetaData "SolutionVersion" "Amazonka.Personalize.Types.SolutionVersion" "libZSservicesZSamazonka-personalizeZSamazonka-personalize" 'False) (C1 ('MetaCons "SolutionVersion'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: (S1 ('MetaSel ('Just "solutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :: ((S1 ('MetaSel ('Just "performAutoML") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "tunedHPOParams") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TunedHPOParams))) :: (S1 ('MetaSel ('Just "recipeArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "lastUpdatedDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :: (((S1 ('MetaSel ('Just "eventType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "creationDateTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "datasetGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "trainingMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingMode)))) :: ((S1 ('MetaSel ('Just "trainingHours") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "solutionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SolutionConfig))) :: (S1 ('MetaSel ('Just "performHPO") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "solutionVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newSolutionVersion :: SolutionVersion Source #

Create a value of SolutionVersion with all optional fields omitted.

Use 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:SolutionVersion', solutionVersion_failureReason - If training a solution version fails, the reason for the failure.

$sel:solutionArn:SolutionVersion', solutionVersion_solutionArn - The ARN of the solution.

$sel:status:SolutionVersion', solutionVersion_status - The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING
CREATE IN_PROGRESS
ACTIVE
CREATE FAILED
CREATE STOPPING
CREATE STOPPED

$sel:performAutoML:SolutionVersion', solutionVersion_performAutoML - When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.

$sel:tunedHPOParams:SolutionVersion', solutionVersion_tunedHPOParams - If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

$sel:recipeArn:SolutionVersion', solutionVersion_recipeArn - The ARN of the recipe used in the solution.

$sel:lastUpdatedDateTime:SolutionVersion', solutionVersion_lastUpdatedDateTime - The date and time (in Unix time) that the solution was last updated.

$sel:eventType:SolutionVersion', solutionVersion_eventType - The event type (for example, 'click' or 'like') that is used for training the model.

$sel:creationDateTime:SolutionVersion', solutionVersion_creationDateTime - The date and time (in Unix time) that this version of the solution was created.

$sel:datasetGroupArn:SolutionVersion', solutionVersion_datasetGroupArn - The Amazon Resource Name (ARN) of the dataset group providing the training data.

$sel:trainingMode:SolutionVersion', solutionVersion_trainingMode - The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.

$sel:trainingHours:SolutionVersion', solutionVersion_trainingHours - The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.

$sel:solutionConfig:SolutionVersion', solutionVersion_solutionConfig - Describes the configuration properties for the solution.

$sel:performHPO:SolutionVersion', solutionVersion_performHPO - Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

$sel:solutionVersionArn:SolutionVersion', solutionVersion_solutionVersionArn - The ARN of the solution version.

solutionVersion_failureReason :: Lens' SolutionVersion (Maybe Text) Source #

If training a solution version fails, the reason for the failure.

solutionVersion_solutionArn :: Lens' SolutionVersion (Maybe Text) Source #

The ARN of the solution.

solutionVersion_status :: Lens' SolutionVersion (Maybe Text) Source #

The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING
CREATE IN_PROGRESS
ACTIVE
CREATE FAILED
CREATE STOPPING
CREATE STOPPED

solutionVersion_performAutoML :: Lens' SolutionVersion (Maybe Bool) Source #

When true, Amazon Personalize searches for the most optimal recipe according to the solution configuration. When false (the default), Amazon Personalize uses recipeArn.

solutionVersion_tunedHPOParams :: Lens' SolutionVersion (Maybe TunedHPOParams) Source #

If hyperparameter optimization was performed, contains the hyperparameter values of the best performing model.

solutionVersion_recipeArn :: Lens' SolutionVersion (Maybe Text) Source #

The ARN of the recipe used in the solution.

solutionVersion_lastUpdatedDateTime :: Lens' SolutionVersion (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution was last updated.

solutionVersion_eventType :: Lens' SolutionVersion (Maybe Text) Source #

The event type (for example, 'click' or 'like') that is used for training the model.

solutionVersion_creationDateTime :: Lens' SolutionVersion (Maybe UTCTime) Source #

The date and time (in Unix time) that this version of the solution was created.

solutionVersion_datasetGroupArn :: Lens' SolutionVersion (Maybe Text) Source #

The Amazon Resource Name (ARN) of the dataset group providing the training data.

solutionVersion_trainingMode :: Lens' SolutionVersion (Maybe TrainingMode) Source #

The scope of training to be performed when creating the solution version. The FULL option trains the solution version based on the entirety of the input solution's training data, while the UPDATE option processes only the data that has changed in comparison to the input solution. Choose UPDATE when you want to incrementally update your solution version instead of creating an entirely new one.

The UPDATE option can only be used when you already have an active solution version created from the input solution using the FULL option and the input solution was trained with the User-Personalization recipe or the HRNN-Coldstart recipe.

solutionVersion_trainingHours :: Lens' SolutionVersion (Maybe Double) Source #

The time used to train the model. You are billed for the time it takes to train a model. This field is visible only after Amazon Personalize successfully trains a model.

solutionVersion_solutionConfig :: Lens' SolutionVersion (Maybe SolutionConfig) Source #

Describes the configuration properties for the solution.

solutionVersion_performHPO :: Lens' SolutionVersion (Maybe Bool) Source #

Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.

solutionVersion_solutionVersionArn :: Lens' SolutionVersion (Maybe Text) Source #

The ARN of the solution version.

SolutionVersionSummary

data SolutionVersionSummary Source #

Provides a summary of the properties of a solution version. For a complete listing, call the DescribeSolutionVersion API.

See: newSolutionVersionSummary smart constructor.

Constructors

SolutionVersionSummary'

Fields

failureReason :: Maybe Text
If a solution version fails, the reason behind the failure.
status :: Maybe Text
The status of the solution version.
A solution version can be in one of the following states:
- CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
lastUpdatedDateTime :: Maybe POSIX
The date and time (in Unix time) that the solution version was last updated.
creationDateTime :: Maybe POSIX
The date and time (in Unix time) that this version of a solution was created.
solutionVersionArn :: Maybe Text
The Amazon Resource Name (ARN) of the solution version.

Instances

Instances details

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

newSolutionVersionSummary :: SolutionVersionSummary Source #

Create a value of SolutionVersionSummary with all optional fields omitted.

Use 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:SolutionVersionSummary', solutionVersionSummary_failureReason - If a solution version fails, the reason behind the failure.

$sel:status:SolutionVersionSummary', solutionVersionSummary_status - The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

$sel:lastUpdatedDateTime:SolutionVersionSummary', solutionVersionSummary_lastUpdatedDateTime - The date and time (in Unix time) that the solution version was last updated.

$sel:creationDateTime:SolutionVersionSummary', solutionVersionSummary_creationDateTime - The date and time (in Unix time) that this version of a solution was created.

$sel:solutionVersionArn:SolutionVersionSummary', solutionVersionSummary_solutionVersionArn - The Amazon Resource Name (ARN) of the solution version.

solutionVersionSummary_failureReason :: Lens' SolutionVersionSummary (Maybe Text) Source #

If a solution version fails, the reason behind the failure.

solutionVersionSummary_status :: Lens' SolutionVersionSummary (Maybe Text) Source #

The status of the solution version.

A solution version can be in one of the following states:

CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED

solutionVersionSummary_lastUpdatedDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that the solution version was last updated.

solutionVersionSummary_creationDateTime :: Lens' SolutionVersionSummary (Maybe UTCTime) Source #

The date and time (in Unix time) that this version of a solution was created.

solutionVersionSummary_solutionVersionArn :: Lens' SolutionVersionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the solution version.

TunedHPOParams

data TunedHPOParams Source #

If hyperparameter optimization (HPO) was performed, contains the hyperparameter values of the best performing model.

See: newTunedHPOParams smart constructor.

Constructors

TunedHPOParams'
Fields algorithmHyperParameters :: Maybe (HashMap Text Text) A list of the hyperparameter values of the best performing model.

Instances

Instances details

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

newTunedHPOParams :: TunedHPOParams Source #

Create a value of TunedHPOParams with all optional fields omitted.

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

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

$sel:algorithmHyperParameters:TunedHPOParams', tunedHPOParams_algorithmHyperParameters - A list of the hyperparameter values of the best performing model.

tunedHPOParams_algorithmHyperParameters :: Lens' TunedHPOParams (Maybe (HashMap Text Text)) Source #

A list of the hyperparameter values of the best performing model.