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 |
- Service Configuration
- Errors
- DataUploadFrequency
- DatasetStatus
- InferenceExecutionStatus
- InferenceSchedulerStatus
- IngestionJobStatus
- ModelStatus
- TargetSamplingRate
- DataIngestionJobSummary
- DataPreProcessingConfiguration
- DatasetSchema
- DatasetSummary
- InferenceExecutionSummary
- InferenceInputConfiguration
- InferenceInputNameConfiguration
- InferenceOutputConfiguration
- InferenceS3InputConfiguration
- InferenceS3OutputConfiguration
- InferenceSchedulerSummary
- IngestionInputConfiguration
- IngestionS3InputConfiguration
- LabelsInputConfiguration
- LabelsS3InputConfiguration
- ModelSummary
- S3Object
- Tag
Synopsis
- defaultService :: Service
- _ValidationException :: AsError a => Getting (First ServiceError) a ServiceError
- _AccessDeniedException :: AsError a => Getting (First ServiceError) a ServiceError
- _ConflictException :: AsError a => Getting (First ServiceError) a ServiceError
- _ServiceQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError
- _ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError
- _InternalServerException :: AsError a => Getting (First ServiceError) a ServiceError
- _ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError
- newtype DataUploadFrequency where
- DataUploadFrequency' { }
- pattern DataUploadFrequency_PT10M :: DataUploadFrequency
- pattern DataUploadFrequency_PT15M :: DataUploadFrequency
- pattern DataUploadFrequency_PT1H :: DataUploadFrequency
- pattern DataUploadFrequency_PT30M :: DataUploadFrequency
- pattern DataUploadFrequency_PT5M :: DataUploadFrequency
- newtype DatasetStatus where
- DatasetStatus' { }
- pattern DatasetStatus_ACTIVE :: DatasetStatus
- pattern DatasetStatus_CREATED :: DatasetStatus
- pattern DatasetStatus_INGESTION_IN_PROGRESS :: DatasetStatus
- newtype InferenceExecutionStatus where
- newtype InferenceSchedulerStatus where
- InferenceSchedulerStatus' { }
- pattern InferenceSchedulerStatus_PENDING :: InferenceSchedulerStatus
- pattern InferenceSchedulerStatus_RUNNING :: InferenceSchedulerStatus
- pattern InferenceSchedulerStatus_STOPPED :: InferenceSchedulerStatus
- pattern InferenceSchedulerStatus_STOPPING :: InferenceSchedulerStatus
- newtype IngestionJobStatus where
- IngestionJobStatus' { }
- pattern IngestionJobStatus_FAILED :: IngestionJobStatus
- pattern IngestionJobStatus_IN_PROGRESS :: IngestionJobStatus
- pattern IngestionJobStatus_SUCCESS :: IngestionJobStatus
- newtype ModelStatus where
- ModelStatus' { }
- pattern ModelStatus_FAILED :: ModelStatus
- pattern ModelStatus_IN_PROGRESS :: ModelStatus
- pattern ModelStatus_SUCCESS :: ModelStatus
- newtype TargetSamplingRate where
- TargetSamplingRate' { }
- pattern TargetSamplingRate_PT10M :: TargetSamplingRate
- pattern TargetSamplingRate_PT10S :: TargetSamplingRate
- pattern TargetSamplingRate_PT15M :: TargetSamplingRate
- pattern TargetSamplingRate_PT15S :: TargetSamplingRate
- pattern TargetSamplingRate_PT1H :: TargetSamplingRate
- pattern TargetSamplingRate_PT1M :: TargetSamplingRate
- pattern TargetSamplingRate_PT1S :: TargetSamplingRate
- pattern TargetSamplingRate_PT30M :: TargetSamplingRate
- pattern TargetSamplingRate_PT30S :: TargetSamplingRate
- pattern TargetSamplingRate_PT5M :: TargetSamplingRate
- pattern TargetSamplingRate_PT5S :: TargetSamplingRate
- data DataIngestionJobSummary = DataIngestionJobSummary' {}
- newDataIngestionJobSummary :: DataIngestionJobSummary
- dataIngestionJobSummary_ingestionInputConfiguration :: Lens' DataIngestionJobSummary (Maybe IngestionInputConfiguration)
- dataIngestionJobSummary_status :: Lens' DataIngestionJobSummary (Maybe IngestionJobStatus)
- dataIngestionJobSummary_datasetArn :: Lens' DataIngestionJobSummary (Maybe Text)
- dataIngestionJobSummary_jobId :: Lens' DataIngestionJobSummary (Maybe Text)
- dataIngestionJobSummary_datasetName :: Lens' DataIngestionJobSummary (Maybe Text)
- data DataPreProcessingConfiguration = DataPreProcessingConfiguration' {}
- newDataPreProcessingConfiguration :: DataPreProcessingConfiguration
- dataPreProcessingConfiguration_targetSamplingRate :: Lens' DataPreProcessingConfiguration (Maybe TargetSamplingRate)
- data DatasetSchema = DatasetSchema' {}
- newDatasetSchema :: DatasetSchema
- datasetSchema_inlineDataSchema :: Lens' DatasetSchema (Maybe Text)
- data DatasetSummary = DatasetSummary' {}
- newDatasetSummary :: DatasetSummary
- datasetSummary_status :: Lens' DatasetSummary (Maybe DatasetStatus)
- datasetSummary_datasetArn :: Lens' DatasetSummary (Maybe Text)
- datasetSummary_createdAt :: Lens' DatasetSummary (Maybe UTCTime)
- datasetSummary_datasetName :: Lens' DatasetSummary (Maybe Text)
- data InferenceExecutionSummary = InferenceExecutionSummary' {
- status :: Maybe InferenceExecutionStatus
- failedReason :: Maybe Text
- modelArn :: Maybe Text
- dataStartTime :: Maybe POSIX
- modelName :: Maybe Text
- customerResultObject :: Maybe S3Object
- inferenceSchedulerArn :: Maybe Text
- scheduledStartTime :: Maybe POSIX
- dataOutputConfiguration :: Maybe InferenceOutputConfiguration
- dataEndTime :: Maybe POSIX
- inferenceSchedulerName :: Maybe Text
- dataInputConfiguration :: Maybe InferenceInputConfiguration
- newInferenceExecutionSummary :: InferenceExecutionSummary
- inferenceExecutionSummary_status :: Lens' InferenceExecutionSummary (Maybe InferenceExecutionStatus)
- inferenceExecutionSummary_failedReason :: Lens' InferenceExecutionSummary (Maybe Text)
- inferenceExecutionSummary_modelArn :: Lens' InferenceExecutionSummary (Maybe Text)
- inferenceExecutionSummary_dataStartTime :: Lens' InferenceExecutionSummary (Maybe UTCTime)
- inferenceExecutionSummary_modelName :: Lens' InferenceExecutionSummary (Maybe Text)
- inferenceExecutionSummary_customerResultObject :: Lens' InferenceExecutionSummary (Maybe S3Object)
- inferenceExecutionSummary_inferenceSchedulerArn :: Lens' InferenceExecutionSummary (Maybe Text)
- inferenceExecutionSummary_scheduledStartTime :: Lens' InferenceExecutionSummary (Maybe UTCTime)
- inferenceExecutionSummary_dataOutputConfiguration :: Lens' InferenceExecutionSummary (Maybe InferenceOutputConfiguration)
- inferenceExecutionSummary_dataEndTime :: Lens' InferenceExecutionSummary (Maybe UTCTime)
- inferenceExecutionSummary_inferenceSchedulerName :: Lens' InferenceExecutionSummary (Maybe Text)
- inferenceExecutionSummary_dataInputConfiguration :: Lens' InferenceExecutionSummary (Maybe InferenceInputConfiguration)
- data InferenceInputConfiguration = InferenceInputConfiguration' {}
- newInferenceInputConfiguration :: InferenceInputConfiguration
- inferenceInputConfiguration_inputTimeZoneOffset :: Lens' InferenceInputConfiguration (Maybe Text)
- inferenceInputConfiguration_s3InputConfiguration :: Lens' InferenceInputConfiguration (Maybe InferenceS3InputConfiguration)
- inferenceInputConfiguration_inferenceInputNameConfiguration :: Lens' InferenceInputConfiguration (Maybe InferenceInputNameConfiguration)
- data InferenceInputNameConfiguration = InferenceInputNameConfiguration' {}
- newInferenceInputNameConfiguration :: InferenceInputNameConfiguration
- inferenceInputNameConfiguration_timestampFormat :: Lens' InferenceInputNameConfiguration (Maybe Text)
- inferenceInputNameConfiguration_componentTimestampDelimiter :: Lens' InferenceInputNameConfiguration (Maybe Text)
- data InferenceOutputConfiguration = InferenceOutputConfiguration' {}
- newInferenceOutputConfiguration :: InferenceS3OutputConfiguration -> InferenceOutputConfiguration
- inferenceOutputConfiguration_kmsKeyId :: Lens' InferenceOutputConfiguration (Maybe Text)
- inferenceOutputConfiguration_s3OutputConfiguration :: Lens' InferenceOutputConfiguration InferenceS3OutputConfiguration
- data InferenceS3InputConfiguration = InferenceS3InputConfiguration' {}
- newInferenceS3InputConfiguration :: Text -> InferenceS3InputConfiguration
- inferenceS3InputConfiguration_prefix :: Lens' InferenceS3InputConfiguration (Maybe Text)
- inferenceS3InputConfiguration_bucket :: Lens' InferenceS3InputConfiguration Text
- data InferenceS3OutputConfiguration = InferenceS3OutputConfiguration' {}
- newInferenceS3OutputConfiguration :: Text -> InferenceS3OutputConfiguration
- inferenceS3OutputConfiguration_prefix :: Lens' InferenceS3OutputConfiguration (Maybe Text)
- inferenceS3OutputConfiguration_bucket :: Lens' InferenceS3OutputConfiguration Text
- data InferenceSchedulerSummary = InferenceSchedulerSummary' {}
- newInferenceSchedulerSummary :: InferenceSchedulerSummary
- inferenceSchedulerSummary_status :: Lens' InferenceSchedulerSummary (Maybe InferenceSchedulerStatus)
- inferenceSchedulerSummary_dataUploadFrequency :: Lens' InferenceSchedulerSummary (Maybe DataUploadFrequency)
- inferenceSchedulerSummary_dataDelayOffsetInMinutes :: Lens' InferenceSchedulerSummary (Maybe Natural)
- inferenceSchedulerSummary_modelArn :: Lens' InferenceSchedulerSummary (Maybe Text)
- inferenceSchedulerSummary_modelName :: Lens' InferenceSchedulerSummary (Maybe Text)
- inferenceSchedulerSummary_inferenceSchedulerArn :: Lens' InferenceSchedulerSummary (Maybe Text)
- inferenceSchedulerSummary_inferenceSchedulerName :: Lens' InferenceSchedulerSummary (Maybe Text)
- data IngestionInputConfiguration = IngestionInputConfiguration' {}
- newIngestionInputConfiguration :: IngestionS3InputConfiguration -> IngestionInputConfiguration
- ingestionInputConfiguration_s3InputConfiguration :: Lens' IngestionInputConfiguration IngestionS3InputConfiguration
- data IngestionS3InputConfiguration = IngestionS3InputConfiguration' {}
- newIngestionS3InputConfiguration :: Text -> IngestionS3InputConfiguration
- ingestionS3InputConfiguration_prefix :: Lens' IngestionS3InputConfiguration (Maybe Text)
- ingestionS3InputConfiguration_bucket :: Lens' IngestionS3InputConfiguration Text
- data LabelsInputConfiguration = LabelsInputConfiguration' {}
- newLabelsInputConfiguration :: LabelsS3InputConfiguration -> LabelsInputConfiguration
- labelsInputConfiguration_s3InputConfiguration :: Lens' LabelsInputConfiguration LabelsS3InputConfiguration
- data LabelsS3InputConfiguration = LabelsS3InputConfiguration' {}
- newLabelsS3InputConfiguration :: Text -> LabelsS3InputConfiguration
- labelsS3InputConfiguration_prefix :: Lens' LabelsS3InputConfiguration (Maybe Text)
- labelsS3InputConfiguration_bucket :: Lens' LabelsS3InputConfiguration Text
- data ModelSummary = ModelSummary' {}
- newModelSummary :: ModelSummary
- modelSummary_status :: Lens' ModelSummary (Maybe ModelStatus)
- modelSummary_datasetArn :: Lens' ModelSummary (Maybe Text)
- modelSummary_modelArn :: Lens' ModelSummary (Maybe Text)
- modelSummary_createdAt :: Lens' ModelSummary (Maybe UTCTime)
- modelSummary_modelName :: Lens' ModelSummary (Maybe Text)
- modelSummary_datasetName :: Lens' ModelSummary (Maybe Text)
- data S3Object = S3Object' {}
- newS3Object :: Text -> Text -> S3Object
- s3Object_bucket :: Lens' S3Object Text
- s3Object_key :: Lens' S3Object Text
- data Tag = Tag' {}
- newTag :: Text -> Text -> Tag
- tag_key :: Lens' Tag Text
- tag_value :: Lens' Tag Text
Service Configuration
defaultService :: Service Source #
API version 2020-12-15
of the Amazon Lookout for Equipment SDK configuration.
Errors
_ValidationException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.
_AccessDeniedException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The request could not be completed because you do not have access to the resource.
_ConflictException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The request could not be completed due to a conflict with the current state of the target resource.
_ServiceQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #
Resource limitations have been exceeded.
_ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The request was denied due to request throttling.
_InternalServerException :: AsError a => Getting (First ServiceError) a ServiceError Source #
Processing of the request has failed because of an unknown error, exception or failure.
_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The resource requested could not be found. Verify the resource ID and retry your request.
DataUploadFrequency
newtype DataUploadFrequency Source #
pattern DataUploadFrequency_PT10M :: DataUploadFrequency | |
pattern DataUploadFrequency_PT15M :: DataUploadFrequency | |
pattern DataUploadFrequency_PT1H :: DataUploadFrequency | |
pattern DataUploadFrequency_PT30M :: DataUploadFrequency | |
pattern DataUploadFrequency_PT5M :: DataUploadFrequency |
Instances
DatasetStatus
newtype DatasetStatus Source #
pattern DatasetStatus_ACTIVE :: DatasetStatus | |
pattern DatasetStatus_CREATED :: DatasetStatus | |
pattern DatasetStatus_INGESTION_IN_PROGRESS :: DatasetStatus |
Instances
InferenceExecutionStatus
newtype InferenceExecutionStatus Source #
Instances
InferenceSchedulerStatus
newtype InferenceSchedulerStatus Source #
Instances
IngestionJobStatus
newtype IngestionJobStatus Source #
pattern IngestionJobStatus_FAILED :: IngestionJobStatus | |
pattern IngestionJobStatus_IN_PROGRESS :: IngestionJobStatus | |
pattern IngestionJobStatus_SUCCESS :: IngestionJobStatus |
Instances
ModelStatus
newtype ModelStatus Source #
pattern ModelStatus_FAILED :: ModelStatus | |
pattern ModelStatus_IN_PROGRESS :: ModelStatus | |
pattern ModelStatus_SUCCESS :: ModelStatus |
Instances
TargetSamplingRate
newtype TargetSamplingRate Source #
pattern TargetSamplingRate_PT10M :: TargetSamplingRate | |
pattern TargetSamplingRate_PT10S :: TargetSamplingRate | |
pattern TargetSamplingRate_PT15M :: TargetSamplingRate | |
pattern TargetSamplingRate_PT15S :: TargetSamplingRate | |
pattern TargetSamplingRate_PT1H :: TargetSamplingRate | |
pattern TargetSamplingRate_PT1M :: TargetSamplingRate | |
pattern TargetSamplingRate_PT1S :: TargetSamplingRate | |
pattern TargetSamplingRate_PT30M :: TargetSamplingRate | |
pattern TargetSamplingRate_PT30S :: TargetSamplingRate | |
pattern TargetSamplingRate_PT5M :: TargetSamplingRate | |
pattern TargetSamplingRate_PT5S :: TargetSamplingRate |
Instances
DataIngestionJobSummary
data DataIngestionJobSummary Source #
Provides information about a specified data ingestion job, including dataset information, data ingestion configuration, and status.
See: newDataIngestionJobSummary
smart constructor.
DataIngestionJobSummary' | |
|
Instances
newDataIngestionJobSummary :: DataIngestionJobSummary Source #
Create a value of DataIngestionJobSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:ingestionInputConfiguration:DataIngestionJobSummary'
, dataIngestionJobSummary_ingestionInputConfiguration
- Specifies information for the input data for the data inference job,
including data S3 location parameters.
$sel:status:DataIngestionJobSummary'
, dataIngestionJobSummary_status
- Indicates the status of the data ingestion job.
$sel:datasetArn:DataIngestionJobSummary'
, dataIngestionJobSummary_datasetArn
- The Amazon Resource Name (ARN) of the dataset used in the data ingestion
job.
$sel:jobId:DataIngestionJobSummary'
, dataIngestionJobSummary_jobId
- Indicates the job ID of the data ingestion job.
$sel:datasetName:DataIngestionJobSummary'
, dataIngestionJobSummary_datasetName
- The name of the dataset used for the data ingestion job.
dataIngestionJobSummary_ingestionInputConfiguration :: Lens' DataIngestionJobSummary (Maybe IngestionInputConfiguration) Source #
Specifies information for the input data for the data inference job, including data S3 location parameters.
dataIngestionJobSummary_status :: Lens' DataIngestionJobSummary (Maybe IngestionJobStatus) Source #
Indicates the status of the data ingestion job.
dataIngestionJobSummary_datasetArn :: Lens' DataIngestionJobSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the dataset used in the data ingestion job.
dataIngestionJobSummary_jobId :: Lens' DataIngestionJobSummary (Maybe Text) Source #
Indicates the job ID of the data ingestion job.
dataIngestionJobSummary_datasetName :: Lens' DataIngestionJobSummary (Maybe Text) Source #
The name of the dataset used for the data ingestion job.
DataPreProcessingConfiguration
data DataPreProcessingConfiguration Source #
The configuration is the TargetSamplingRate
, which is the sampling
rate of the data after post processing by Amazon Lookout for Equipment.
For example, if you provide data that has been collected at a 1 second
level and you want the system to resample the data at a 1 minute rate
before training, the TargetSamplingRate
is 1 minute.
When providing a value for the TargetSamplingRate
, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
See: newDataPreProcessingConfiguration
smart constructor.
DataPreProcessingConfiguration' | |
|
Instances
Eq DataPreProcessingConfiguration Source # | |
Read DataPreProcessingConfiguration Source # | |
Show DataPreProcessingConfiguration Source # | |
Generic DataPreProcessingConfiguration Source # | |
NFData DataPreProcessingConfiguration Source # | |
Hashable DataPreProcessingConfiguration Source # | |
ToJSON DataPreProcessingConfiguration Source # | |
FromJSON DataPreProcessingConfiguration Source # | |
type Rep DataPreProcessingConfiguration Source # | |
Defined in Amazonka.LookoutEquipment.Types.DataPreProcessingConfiguration type Rep DataPreProcessingConfiguration = D1 ('MetaData "DataPreProcessingConfiguration" "Amazonka.LookoutEquipment.Types.DataPreProcessingConfiguration" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "DataPreProcessingConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "targetSamplingRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetSamplingRate)))) |
newDataPreProcessingConfiguration :: DataPreProcessingConfiguration Source #
Create a value of DataPreProcessingConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:targetSamplingRate:DataPreProcessingConfiguration'
, dataPreProcessingConfiguration_targetSamplingRate
- The sampling rate of the data after post processing by Amazon Lookout
for Equipment. For example, if you provide data that has been collected
at a 1 second level and you want the system to resample the data at a 1
minute rate before training, the TargetSamplingRate
is 1 minute.
When providing a value for the TargetSamplingRate
, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
dataPreProcessingConfiguration_targetSamplingRate :: Lens' DataPreProcessingConfiguration (Maybe TargetSamplingRate) Source #
The sampling rate of the data after post processing by Amazon Lookout
for Equipment. For example, if you provide data that has been collected
at a 1 second level and you want the system to resample the data at a 1
minute rate before training, the TargetSamplingRate
is 1 minute.
When providing a value for the TargetSamplingRate
, you must attach the
prefix "PT" to the rate you want. The value for a 1 second rate is
therefore PT1S, the value for a 15 minute rate is PT15M, and the
value for a 1 hour rate is PT1H
DatasetSchema
data DatasetSchema Source #
Provides information about the data schema used with the given dataset.
See: newDatasetSchema
smart constructor.
Instances
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:inlineDataSchema:DatasetSchema'
, datasetSchema_inlineDataSchema
-
DatasetSummary
data DatasetSummary Source #
Contains information about the specific data set, including name, ARN, and status.
See: newDatasetSummary
smart constructor.
DatasetSummary' | |
|
Instances
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
- Indicates the status of the dataset.
$sel:datasetArn:DatasetSummary'
, datasetSummary_datasetArn
- The Amazon Resource Name (ARN) of the specified dataset.
$sel:createdAt:DatasetSummary'
, datasetSummary_createdAt
- The time at which the dataset was created in Amazon Lookout for
Equipment.
$sel:datasetName:DatasetSummary'
, datasetSummary_datasetName
- The name of the dataset.
datasetSummary_status :: Lens' DatasetSummary (Maybe DatasetStatus) Source #
Indicates the status of the dataset.
datasetSummary_datasetArn :: Lens' DatasetSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the specified dataset.
datasetSummary_createdAt :: Lens' DatasetSummary (Maybe UTCTime) Source #
The time at which the dataset was created in Amazon Lookout for Equipment.
datasetSummary_datasetName :: Lens' DatasetSummary (Maybe Text) Source #
The name of the dataset.
InferenceExecutionSummary
data InferenceExecutionSummary Source #
Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.
See: newInferenceExecutionSummary
smart constructor.
InferenceExecutionSummary' | |
|
Instances
newInferenceExecutionSummary :: InferenceExecutionSummary Source #
Create a value of InferenceExecutionSummary
with all optional fields omitted.
Use 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:InferenceExecutionSummary'
, inferenceExecutionSummary_status
- Indicates the status of the inference execution.
$sel:failedReason:InferenceExecutionSummary'
, inferenceExecutionSummary_failedReason
- Specifies the reason for failure when an inference execution has failed.
$sel:modelArn:InferenceExecutionSummary'
, inferenceExecutionSummary_modelArn
- The Amazon Resource Name (ARN) of the ML model used for the inference
execution.
$sel:dataStartTime:InferenceExecutionSummary'
, inferenceExecutionSummary_dataStartTime
- Indicates the time reference in the dataset at which the inference
execution began.
$sel:modelName:InferenceExecutionSummary'
, inferenceExecutionSummary_modelName
- The name of the ML model being used for the inference execution.
$sel:customerResultObject:InferenceExecutionSummary'
, inferenceExecutionSummary_customerResultObject
-
$sel:inferenceSchedulerArn:InferenceExecutionSummary'
, inferenceExecutionSummary_inferenceSchedulerArn
- The Amazon Resource Name (ARN) of the inference scheduler being used for
the inference execution.
$sel:scheduledStartTime:InferenceExecutionSummary'
, inferenceExecutionSummary_scheduledStartTime
- Indicates the start time at which the inference scheduler began the
specific inference execution.
$sel:dataOutputConfiguration:InferenceExecutionSummary'
, inferenceExecutionSummary_dataOutputConfiguration
- Specifies configuration information for the output results from for the
inference execution, including the output S3 location.
$sel:dataEndTime:InferenceExecutionSummary'
, inferenceExecutionSummary_dataEndTime
- Indicates the time reference in the dataset at which the inference
execution stopped.
$sel:inferenceSchedulerName:InferenceExecutionSummary'
, inferenceExecutionSummary_inferenceSchedulerName
- The name of the inference scheduler being used for the inference
execution.
$sel:dataInputConfiguration:InferenceExecutionSummary'
, inferenceExecutionSummary_dataInputConfiguration
- Specifies configuration information for the input data for the inference
scheduler, including delimiter, format, and dataset location.
inferenceExecutionSummary_status :: Lens' InferenceExecutionSummary (Maybe InferenceExecutionStatus) Source #
Indicates the status of the inference execution.
inferenceExecutionSummary_failedReason :: Lens' InferenceExecutionSummary (Maybe Text) Source #
Specifies the reason for failure when an inference execution has failed.
inferenceExecutionSummary_modelArn :: Lens' InferenceExecutionSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the ML model used for the inference execution.
inferenceExecutionSummary_dataStartTime :: Lens' InferenceExecutionSummary (Maybe UTCTime) Source #
Indicates the time reference in the dataset at which the inference execution began.
inferenceExecutionSummary_modelName :: Lens' InferenceExecutionSummary (Maybe Text) Source #
The name of the ML model being used for the inference execution.
inferenceExecutionSummary_customerResultObject :: Lens' InferenceExecutionSummary (Maybe S3Object) Source #
inferenceExecutionSummary_inferenceSchedulerArn :: Lens' InferenceExecutionSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
inferenceExecutionSummary_scheduledStartTime :: Lens' InferenceExecutionSummary (Maybe UTCTime) Source #
Indicates the start time at which the inference scheduler began the specific inference execution.
inferenceExecutionSummary_dataOutputConfiguration :: Lens' InferenceExecutionSummary (Maybe InferenceOutputConfiguration) Source #
Specifies configuration information for the output results from for the inference execution, including the output S3 location.
inferenceExecutionSummary_dataEndTime :: Lens' InferenceExecutionSummary (Maybe UTCTime) Source #
Indicates the time reference in the dataset at which the inference execution stopped.
inferenceExecutionSummary_inferenceSchedulerName :: Lens' InferenceExecutionSummary (Maybe Text) Source #
The name of the inference scheduler being used for the inference execution.
inferenceExecutionSummary_dataInputConfiguration :: Lens' InferenceExecutionSummary (Maybe InferenceInputConfiguration) Source #
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
InferenceInputConfiguration
data InferenceInputConfiguration Source #
Specifies configuration information for the input data for the inference, including S3 location of input data..
See: newInferenceInputConfiguration
smart constructor.
InferenceInputConfiguration' | |
|
Instances
newInferenceInputConfiguration :: InferenceInputConfiguration Source #
Create a value of InferenceInputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:inputTimeZoneOffset:InferenceInputConfiguration'
, inferenceInputConfiguration_inputTimeZoneOffset
- Indicates the difference between your time zone and Greenwich Mean Time
(GMT).
$sel:s3InputConfiguration:InferenceInputConfiguration'
, inferenceInputConfiguration_s3InputConfiguration
- Specifies configuration information for the input data for the
inference, including S3 location of input data..
$sel:inferenceInputNameConfiguration:InferenceInputConfiguration'
, inferenceInputConfiguration_inferenceInputNameConfiguration
- Specifies configuration information for the input data for the
inference, including timestamp format and delimiter.
inferenceInputConfiguration_inputTimeZoneOffset :: Lens' InferenceInputConfiguration (Maybe Text) Source #
Indicates the difference between your time zone and Greenwich Mean Time (GMT).
inferenceInputConfiguration_s3InputConfiguration :: Lens' InferenceInputConfiguration (Maybe InferenceS3InputConfiguration) Source #
Specifies configuration information for the input data for the inference, including S3 location of input data..
inferenceInputConfiguration_inferenceInputNameConfiguration :: Lens' InferenceInputConfiguration (Maybe InferenceInputNameConfiguration) Source #
Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
InferenceInputNameConfiguration
data InferenceInputNameConfiguration Source #
Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
See: newInferenceInputNameConfiguration
smart constructor.
InferenceInputNameConfiguration' | |
|
Instances
newInferenceInputNameConfiguration :: InferenceInputNameConfiguration Source #
Create a value of InferenceInputNameConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:timestampFormat:InferenceInputNameConfiguration'
, inferenceInputNameConfiguration_timestampFormat
- The format of the timestamp, whether Epoch time, or standard, with or
without hyphens (-).
$sel:componentTimestampDelimiter:InferenceInputNameConfiguration'
, inferenceInputNameConfiguration_componentTimestampDelimiter
- Indicates the delimiter character used between items in the data.
inferenceInputNameConfiguration_timestampFormat :: Lens' InferenceInputNameConfiguration (Maybe Text) Source #
The format of the timestamp, whether Epoch time, or standard, with or without hyphens (-).
inferenceInputNameConfiguration_componentTimestampDelimiter :: Lens' InferenceInputNameConfiguration (Maybe Text) Source #
Indicates the delimiter character used between items in the data.
InferenceOutputConfiguration
data InferenceOutputConfiguration Source #
Specifies configuration information for the output results from for the inference, including KMS key ID and output S3 location.
See: newInferenceOutputConfiguration
smart constructor.
InferenceOutputConfiguration' | |
|
Instances
newInferenceOutputConfiguration Source #
Create a value of InferenceOutputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:kmsKeyId:InferenceOutputConfiguration'
, inferenceOutputConfiguration_kmsKeyId
- The ID number for the AWS KMS key used to encrypt the inference output.
$sel:s3OutputConfiguration:InferenceOutputConfiguration'
, inferenceOutputConfiguration_s3OutputConfiguration
- Specifies configuration information for the output results from for the
inference, output S3 location.
inferenceOutputConfiguration_kmsKeyId :: Lens' InferenceOutputConfiguration (Maybe Text) Source #
The ID number for the AWS KMS key used to encrypt the inference output.
inferenceOutputConfiguration_s3OutputConfiguration :: Lens' InferenceOutputConfiguration InferenceS3OutputConfiguration Source #
Specifies configuration information for the output results from for the inference, output S3 location.
InferenceS3InputConfiguration
data InferenceS3InputConfiguration Source #
Specifies configuration information for the input data for the inference, including input data S3 location.
See: newInferenceS3InputConfiguration
smart constructor.
Instances
Eq InferenceS3InputConfiguration Source # | |
Read InferenceS3InputConfiguration Source # | |
Show InferenceS3InputConfiguration Source # | |
Generic InferenceS3InputConfiguration Source # | |
NFData InferenceS3InputConfiguration Source # | |
Hashable InferenceS3InputConfiguration Source # | |
ToJSON InferenceS3InputConfiguration Source # | |
FromJSON InferenceS3InputConfiguration Source # | |
type Rep InferenceS3InputConfiguration Source # | |
Defined in Amazonka.LookoutEquipment.Types.InferenceS3InputConfiguration type Rep InferenceS3InputConfiguration = D1 ('MetaData "InferenceS3InputConfiguration" "Amazonka.LookoutEquipment.Types.InferenceS3InputConfiguration" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "InferenceS3InputConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "prefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) |
newInferenceS3InputConfiguration Source #
Create a value of InferenceS3InputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:prefix:InferenceS3InputConfiguration'
, inferenceS3InputConfiguration_prefix
- The prefix for the S3 bucket used for the input data for the inference.
$sel:bucket:InferenceS3InputConfiguration'
, inferenceS3InputConfiguration_bucket
- The bucket containing the input dataset for the inference.
inferenceS3InputConfiguration_prefix :: Lens' InferenceS3InputConfiguration (Maybe Text) Source #
The prefix for the S3 bucket used for the input data for the inference.
inferenceS3InputConfiguration_bucket :: Lens' InferenceS3InputConfiguration Text Source #
The bucket containing the input dataset for the inference.
InferenceS3OutputConfiguration
data InferenceS3OutputConfiguration Source #
Specifies configuration information for the output results from the inference, including output S3 location.
See: newInferenceS3OutputConfiguration
smart constructor.
Instances
newInferenceS3OutputConfiguration Source #
Create a value of InferenceS3OutputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:prefix:InferenceS3OutputConfiguration'
, inferenceS3OutputConfiguration_prefix
- The prefix for the S3 bucket used for the output results from the
inference.
$sel:bucket:InferenceS3OutputConfiguration'
, inferenceS3OutputConfiguration_bucket
- The bucket containing the output results from the inference
inferenceS3OutputConfiguration_prefix :: Lens' InferenceS3OutputConfiguration (Maybe Text) Source #
The prefix for the S3 bucket used for the output results from the inference.
inferenceS3OutputConfiguration_bucket :: Lens' InferenceS3OutputConfiguration Text Source #
The bucket containing the output results from the inference
InferenceSchedulerSummary
data InferenceSchedulerSummary Source #
Contains information about the specific inference scheduler, including data delay offset, model name and ARN, status, and so on.
See: newInferenceSchedulerSummary
smart constructor.
InferenceSchedulerSummary' | |
|
Instances
newInferenceSchedulerSummary :: InferenceSchedulerSummary Source #
Create a value of InferenceSchedulerSummary
with all optional fields omitted.
Use 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:InferenceSchedulerSummary'
, inferenceSchedulerSummary_status
- Indicates the status of the inference scheduler.
$sel:dataUploadFrequency:InferenceSchedulerSummary'
, inferenceSchedulerSummary_dataUploadFrequency
- How often data is uploaded to the source S3 bucket for the input data.
This value is the length of time between data uploads. For instance, if
you select 5 minutes, Amazon Lookout for Equipment will upload the
real-time data to the source bucket once every 5 minutes. This frequency
also determines how often Amazon Lookout for Equipment starts a
scheduled inference on your data. In this example, it starts once every
5 minutes.
$sel:dataDelayOffsetInMinutes:InferenceSchedulerSummary'
, inferenceSchedulerSummary_dataDelayOffsetInMinutes
- A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if an offset delay time of five
minutes was selected, inference will not begin on the data until the
first data measurement after the five minute mark. For example, if five
minutes is selected, the inference scheduler will wake up at the
configured frequency with the additional five minute delay time to check
the customer S3 bucket. The customer can upload data at the same
frequency and they don't need to stop and restart the scheduler when
uploading new data.
$sel:modelArn:InferenceSchedulerSummary'
, inferenceSchedulerSummary_modelArn
- The Amazon Resource Name (ARN) of the ML model used by the inference
scheduler.
$sel:modelName:InferenceSchedulerSummary'
, inferenceSchedulerSummary_modelName
- The name of the ML model used for the inference scheduler.
$sel:inferenceSchedulerArn:InferenceSchedulerSummary'
, inferenceSchedulerSummary_inferenceSchedulerArn
- The Amazon Resource Name (ARN) of the inference scheduler.
$sel:inferenceSchedulerName:InferenceSchedulerSummary'
, inferenceSchedulerSummary_inferenceSchedulerName
- The name of the inference scheduler.
inferenceSchedulerSummary_status :: Lens' InferenceSchedulerSummary (Maybe InferenceSchedulerStatus) Source #
Indicates the status of the inference scheduler.
inferenceSchedulerSummary_dataUploadFrequency :: Lens' InferenceSchedulerSummary (Maybe DataUploadFrequency) Source #
How often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.
inferenceSchedulerSummary_dataDelayOffsetInMinutes :: Lens' InferenceSchedulerSummary (Maybe Natural) Source #
A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if an offset delay time of five minutes was selected, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.
inferenceSchedulerSummary_modelArn :: Lens' InferenceSchedulerSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the ML model used by the inference scheduler.
inferenceSchedulerSummary_modelName :: Lens' InferenceSchedulerSummary (Maybe Text) Source #
The name of the ML model used for the inference scheduler.
inferenceSchedulerSummary_inferenceSchedulerArn :: Lens' InferenceSchedulerSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the inference scheduler.
inferenceSchedulerSummary_inferenceSchedulerName :: Lens' InferenceSchedulerSummary (Maybe Text) Source #
The name of the inference scheduler.
IngestionInputConfiguration
data IngestionInputConfiguration Source #
Specifies configuration information for the input data for the data ingestion job, including input data S3 location.
See: newIngestionInputConfiguration
smart constructor.
IngestionInputConfiguration' | |
|
Instances
newIngestionInputConfiguration Source #
Create a value of IngestionInputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3InputConfiguration:IngestionInputConfiguration'
, ingestionInputConfiguration_s3InputConfiguration
- The location information for the S3 bucket used for input data for the
data ingestion.
ingestionInputConfiguration_s3InputConfiguration :: Lens' IngestionInputConfiguration IngestionS3InputConfiguration Source #
The location information for the S3 bucket used for input data for the data ingestion.
IngestionS3InputConfiguration
data IngestionS3InputConfiguration Source #
Specifies S3 configuration information for the input data for the data ingestion job.
See: newIngestionS3InputConfiguration
smart constructor.
Instances
Eq IngestionS3InputConfiguration Source # | |
Read IngestionS3InputConfiguration Source # | |
Show IngestionS3InputConfiguration Source # | |
Generic IngestionS3InputConfiguration Source # | |
NFData IngestionS3InputConfiguration Source # | |
Hashable IngestionS3InputConfiguration Source # | |
ToJSON IngestionS3InputConfiguration Source # | |
FromJSON IngestionS3InputConfiguration Source # | |
type Rep IngestionS3InputConfiguration Source # | |
Defined in Amazonka.LookoutEquipment.Types.IngestionS3InputConfiguration type Rep IngestionS3InputConfiguration = D1 ('MetaData "IngestionS3InputConfiguration" "Amazonka.LookoutEquipment.Types.IngestionS3InputConfiguration" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "IngestionS3InputConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "prefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) |
newIngestionS3InputConfiguration Source #
Create a value of IngestionS3InputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:prefix:IngestionS3InputConfiguration'
, ingestionS3InputConfiguration_prefix
- The prefix for the S3 location being used for the input data for the
data ingestion.
$sel:bucket:IngestionS3InputConfiguration'
, ingestionS3InputConfiguration_bucket
- The name of the S3 bucket used for the input data for the data
ingestion.
ingestionS3InputConfiguration_prefix :: Lens' IngestionS3InputConfiguration (Maybe Text) Source #
The prefix for the S3 location being used for the input data for the data ingestion.
ingestionS3InputConfiguration_bucket :: Lens' IngestionS3InputConfiguration Text Source #
The name of the S3 bucket used for the input data for the data ingestion.
LabelsInputConfiguration
data LabelsInputConfiguration Source #
Contains the configuration information for the S3 location being used to hold label data.
See: newLabelsInputConfiguration
smart constructor.
LabelsInputConfiguration' | |
|
Instances
newLabelsInputConfiguration Source #
Create a value of LabelsInputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:s3InputConfiguration:LabelsInputConfiguration'
, labelsInputConfiguration_s3InputConfiguration
- Contains location information for the S3 location being used for label
data.
labelsInputConfiguration_s3InputConfiguration :: Lens' LabelsInputConfiguration LabelsS3InputConfiguration Source #
Contains location information for the S3 location being used for label data.
LabelsS3InputConfiguration
data LabelsS3InputConfiguration Source #
The location information (prefix and bucket name) for the s3 location being used for label data.
See: newLabelsS3InputConfiguration
smart constructor.
Instances
newLabelsS3InputConfiguration Source #
Create a value of LabelsS3InputConfiguration
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:prefix:LabelsS3InputConfiguration'
, labelsS3InputConfiguration_prefix
- The prefix for the S3 bucket used for the label data.
$sel:bucket:LabelsS3InputConfiguration'
, labelsS3InputConfiguration_bucket
- The name of the S3 bucket holding the label data.
labelsS3InputConfiguration_prefix :: Lens' LabelsS3InputConfiguration (Maybe Text) Source #
The prefix for the S3 bucket used for the label data.
labelsS3InputConfiguration_bucket :: Lens' LabelsS3InputConfiguration Text Source #
The name of the S3 bucket holding the label data.
ModelSummary
data ModelSummary Source #
Provides information about the specified ML model, including dataset and model names and ARNs, as well as status.
See: newModelSummary
smart constructor.
ModelSummary' | |
|
Instances
newModelSummary :: ModelSummary Source #
Create a value of ModelSummary
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:status:ModelSummary'
, modelSummary_status
- Indicates the status of the ML model.
$sel:datasetArn:ModelSummary'
, modelSummary_datasetArn
- The Amazon Resource Name (ARN) of the dataset used to create the model.
$sel:modelArn:ModelSummary'
, modelSummary_modelArn
- The Amazon Resource Name (ARN) of the ML model.
$sel:createdAt:ModelSummary'
, modelSummary_createdAt
- The time at which the specific model was created.
$sel:modelName:ModelSummary'
, modelSummary_modelName
- The name of the ML model.
$sel:datasetName:ModelSummary'
, modelSummary_datasetName
- The name of the dataset being used for the ML model.
modelSummary_status :: Lens' ModelSummary (Maybe ModelStatus) Source #
Indicates the status of the ML model.
modelSummary_datasetArn :: Lens' ModelSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the dataset used to create the model.
modelSummary_modelArn :: Lens' ModelSummary (Maybe Text) Source #
The Amazon Resource Name (ARN) of the ML model.
modelSummary_createdAt :: Lens' ModelSummary (Maybe UTCTime) Source #
The time at which the specific model was created.
modelSummary_modelName :: Lens' ModelSummary (Maybe Text) Source #
The name of the ML model.
modelSummary_datasetName :: Lens' ModelSummary (Maybe Text) Source #
The name of the dataset being used for the ML model.
S3Object
Contains information about an S3 bucket.
See: newS3Object
smart constructor.
Instances
Eq S3Object Source # | |
Read S3Object Source # | |
Show S3Object Source # | |
Generic S3Object Source # | |
NFData S3Object Source # | |
Defined in Amazonka.LookoutEquipment.Types.S3Object | |
Hashable S3Object Source # | |
Defined in Amazonka.LookoutEquipment.Types.S3Object | |
FromJSON S3Object Source # | |
type Rep S3Object Source # | |
Defined in Amazonka.LookoutEquipment.Types.S3Object type Rep S3Object = D1 ('MetaData "S3Object" "Amazonka.LookoutEquipment.Types.S3Object" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "S3Object'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) |
Create a value of S3Object
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:bucket:S3Object'
, s3Object_bucket
- The name of the specific S3 bucket.
$sel:key:S3Object'
, s3Object_key
- The AWS Key Management Service (AWS KMS) key being used to encrypt the
S3 object. Without this key, data in the bucket is not accessible.
s3Object_key :: Lens' S3Object Text Source #
The AWS Key Management Service (AWS KMS) key being used to encrypt the S3 object. Without this key, data in the bucket is not accessible.
Tag
A tag is a key-value pair that can be added to a resource as metadata.
See: newTag
smart constructor.
Instances
Eq Tag Source # | |
Read Tag Source # | |
Show Tag Source # | |
Generic Tag Source # | |
NFData Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag | |
Hashable Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag | |
ToJSON Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag | |
FromJSON Tag Source # | |
type Rep Tag Source # | |
Defined in Amazonka.LookoutEquipment.Types.Tag type Rep Tag = D1 ('MetaData "Tag" "Amazonka.LookoutEquipment.Types.Tag" "libZSservicesZSamazonka-lookoutequipmentZSamazonka-lookoutequipment" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) |
Create a value of Tag
with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:key:Tag'
, tag_key
- The key for the specified tag.
$sel:value:Tag'
, tag_value
- The value for the specified tag.