| 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.LookoutEquipment
Contents
- Service Configuration
- Errors
- Waiters
- Operations
- StartInferenceScheduler
- DescribeDataset
- ListTagsForResource
- DescribeDataIngestionJob
- CreateModel
- DeleteDataset
- CreateDataset
- DeleteModel
- ListModels
- StopInferenceScheduler
- ListDataIngestionJobs
- DescribeModel
- StartDataIngestionJob
- ListInferenceSchedulers
- UpdateInferenceScheduler
- DeleteInferenceScheduler
- TagResource
- ListInferenceExecutions
- CreateInferenceScheduler
- ListDatasets
- UntagResource
- DescribeInferenceScheduler
- Types
- 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
Description
Derived from API version 2020-12-15 of the AWS service descriptions, licensed under Apache 2.0.
Amazon Lookout for Equipment is a machine learning service that uses advanced analytics to identify anomalies in machines from sensor data for use in predictive maintenance.
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
- data StartInferenceScheduler = StartInferenceScheduler' Text
- newStartInferenceScheduler :: Text -> StartInferenceScheduler
- data StartInferenceSchedulerResponse = StartInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int
- newStartInferenceSchedulerResponse :: Int -> StartInferenceSchedulerResponse
- data DescribeDataset = DescribeDataset' Text
- newDescribeDataset :: Text -> DescribeDataset
- data DescribeDatasetResponse = DescribeDatasetResponse' (Maybe IngestionInputConfiguration) (Maybe DatasetStatus) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) Int
- newDescribeDatasetResponse :: Int -> DescribeDatasetResponse
- data ListTagsForResource = ListTagsForResource' Text
- newListTagsForResource :: Text -> ListTagsForResource
- data ListTagsForResourceResponse = ListTagsForResourceResponse' (Maybe [Tag]) Int
- newListTagsForResourceResponse :: Int -> ListTagsForResourceResponse
- data DescribeDataIngestionJob = DescribeDataIngestionJob' Text
- newDescribeDataIngestionJob :: Text -> DescribeDataIngestionJob
- data DescribeDataIngestionJobResponse = DescribeDataIngestionJobResponse' (Maybe IngestionInputConfiguration) (Maybe IngestionJobStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) Int
- newDescribeDataIngestionJobResponse :: Int -> DescribeDataIngestionJobResponse
- data CreateModel = CreateModel' (Maybe DataPreProcessingConfiguration) (Maybe POSIX) (Maybe DatasetSchema) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe LabelsInputConfiguration) (Maybe [Tag]) (Maybe Text) (Maybe Text) Text Text Text
- newCreateModel :: Text -> Text -> Text -> CreateModel
- data CreateModelResponse = CreateModelResponse' (Maybe ModelStatus) (Maybe Text) Int
- newCreateModelResponse :: Int -> CreateModelResponse
- data DeleteDataset = DeleteDataset' Text
- newDeleteDataset :: Text -> DeleteDataset
- data DeleteDatasetResponse = DeleteDatasetResponse' {
- newDeleteDatasetResponse :: DeleteDatasetResponse
- data CreateDataset = CreateDataset' (Maybe [Tag]) (Maybe Text) Text DatasetSchema Text
- newCreateDataset :: Text -> DatasetSchema -> Text -> CreateDataset
- data CreateDatasetResponse = CreateDatasetResponse' (Maybe DatasetStatus) (Maybe Text) (Maybe Text) Int
- newCreateDatasetResponse :: Int -> CreateDatasetResponse
- data DeleteModel = DeleteModel' Text
- newDeleteModel :: Text -> DeleteModel
- data DeleteModelResponse = DeleteModelResponse' {
- newDeleteModelResponse :: DeleteModelResponse
- data ListModels = ListModels' (Maybe ModelStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Natural)
- newListModels :: ListModels
- data ListModelsResponse = ListModelsResponse' (Maybe Text) (Maybe [ModelSummary]) Int
- newListModelsResponse :: Int -> ListModelsResponse
- data StopInferenceScheduler = StopInferenceScheduler' Text
- newStopInferenceScheduler :: Text -> StopInferenceScheduler
- data StopInferenceSchedulerResponse = StopInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int
- newStopInferenceSchedulerResponse :: Int -> StopInferenceSchedulerResponse
- data ListDataIngestionJobs = ListDataIngestionJobs' (Maybe IngestionJobStatus) (Maybe Text) (Maybe Text) (Maybe Natural)
- newListDataIngestionJobs :: ListDataIngestionJobs
- data ListDataIngestionJobsResponse = ListDataIngestionJobsResponse' (Maybe Text) (Maybe [DataIngestionJobSummary]) Int
- newListDataIngestionJobsResponse :: Int -> ListDataIngestionJobsResponse
- data DescribeModel = DescribeModel' Text
- newDescribeModel :: Text -> DescribeModel
- data DescribeModelResponse = DescribeModelResponse' (Maybe ModelStatus) (Maybe DataPreProcessingConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe LabelsInputConfiguration) (Maybe Text) (Maybe Text) Int
- newDescribeModelResponse :: Int -> DescribeModelResponse
- data StartDataIngestionJob = StartDataIngestionJob' Text IngestionInputConfiguration Text Text
- newStartDataIngestionJob :: Text -> IngestionInputConfiguration -> Text -> Text -> StartDataIngestionJob
- data StartDataIngestionJobResponse = StartDataIngestionJobResponse' (Maybe IngestionJobStatus) (Maybe Text) Int
- newStartDataIngestionJobResponse :: Int -> StartDataIngestionJobResponse
- data ListInferenceSchedulers = ListInferenceSchedulers' (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Natural)
- newListInferenceSchedulers :: ListInferenceSchedulers
- data ListInferenceSchedulersResponse = ListInferenceSchedulersResponse' (Maybe [InferenceSchedulerSummary]) (Maybe Text) Int
- newListInferenceSchedulersResponse :: Int -> ListInferenceSchedulersResponse
- data UpdateInferenceScheduler = UpdateInferenceScheduler' (Maybe DataUploadFrequency) (Maybe Natural) (Maybe InferenceOutputConfiguration) (Maybe InferenceInputConfiguration) (Maybe Text) Text
- newUpdateInferenceScheduler :: Text -> UpdateInferenceScheduler
- data UpdateInferenceSchedulerResponse = UpdateInferenceSchedulerResponse' {
- newUpdateInferenceSchedulerResponse :: UpdateInferenceSchedulerResponse
- data DeleteInferenceScheduler = DeleteInferenceScheduler' Text
- newDeleteInferenceScheduler :: Text -> DeleteInferenceScheduler
- data DeleteInferenceSchedulerResponse = DeleteInferenceSchedulerResponse' {
- newDeleteInferenceSchedulerResponse :: DeleteInferenceSchedulerResponse
- data TagResource = TagResource' Text [Tag]
- newTagResource :: Text -> TagResource
- data TagResourceResponse = TagResourceResponse' Int
- newTagResourceResponse :: Int -> TagResourceResponse
- data ListInferenceExecutions = ListInferenceExecutions' (Maybe InferenceExecutionStatus) (Maybe POSIX) (Maybe Text) (Maybe Natural) (Maybe POSIX) Text
- newListInferenceExecutions :: Text -> ListInferenceExecutions
- data ListInferenceExecutionsResponse = ListInferenceExecutionsResponse' (Maybe Text) (Maybe [InferenceExecutionSummary]) Int
- newListInferenceExecutionsResponse :: Int -> ListInferenceExecutionsResponse
- data CreateInferenceScheduler = CreateInferenceScheduler' (Maybe Natural) (Maybe [Tag]) (Maybe Text) Text Text DataUploadFrequency InferenceInputConfiguration InferenceOutputConfiguration Text Text
- newCreateInferenceScheduler :: Text -> Text -> DataUploadFrequency -> InferenceInputConfiguration -> InferenceOutputConfiguration -> Text -> Text -> CreateInferenceScheduler
- data CreateInferenceSchedulerResponse = CreateInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe Text) (Maybe Text) Int
- newCreateInferenceSchedulerResponse :: Int -> CreateInferenceSchedulerResponse
- data ListDatasets = ListDatasets' (Maybe Text) (Maybe Text) (Maybe Natural)
- newListDatasets :: ListDatasets
- data ListDatasetsResponse = ListDatasetsResponse' (Maybe Text) (Maybe [DatasetSummary]) Int
- newListDatasetsResponse :: Int -> ListDatasetsResponse
- data UntagResource = UntagResource' Text [Text]
- newUntagResource :: Text -> UntagResource
- data UntagResourceResponse = UntagResourceResponse' Int
- newUntagResourceResponse :: Int -> UntagResourceResponse
- data DescribeInferenceScheduler = DescribeInferenceScheduler' Text
- newDescribeInferenceScheduler :: Text -> DescribeInferenceScheduler
- data DescribeInferenceSchedulerResponse = DescribeInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe DataUploadFrequency) (Maybe Natural) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe InferenceOutputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe InferenceInputConfiguration) (Maybe Text) (Maybe Text) Int
- newDescribeInferenceSchedulerResponse :: Int -> DescribeInferenceSchedulerResponse
- 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' (Maybe IngestionInputConfiguration) (Maybe IngestionJobStatus) (Maybe Text) (Maybe Text) (Maybe Text)
- newDataIngestionJobSummary :: DataIngestionJobSummary
- data DataPreProcessingConfiguration = DataPreProcessingConfiguration' (Maybe TargetSamplingRate)
- newDataPreProcessingConfiguration :: DataPreProcessingConfiguration
- data DatasetSchema = DatasetSchema' (Maybe Text)
- newDatasetSchema :: DatasetSchema
- data DatasetSummary = DatasetSummary' (Maybe DatasetStatus) (Maybe Text) (Maybe POSIX) (Maybe Text)
- newDatasetSummary :: DatasetSummary
- data InferenceExecutionSummary = InferenceExecutionSummary' (Maybe InferenceExecutionStatus) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe S3Object) (Maybe Text) (Maybe POSIX) (Maybe InferenceOutputConfiguration) (Maybe POSIX) (Maybe Text) (Maybe InferenceInputConfiguration)
- newInferenceExecutionSummary :: InferenceExecutionSummary
- data InferenceInputConfiguration = InferenceInputConfiguration' (Maybe Text) (Maybe InferenceS3InputConfiguration) (Maybe InferenceInputNameConfiguration)
- newInferenceInputConfiguration :: InferenceInputConfiguration
- data InferenceInputNameConfiguration = InferenceInputNameConfiguration' (Maybe Text) (Maybe Text)
- newInferenceInputNameConfiguration :: InferenceInputNameConfiguration
- data InferenceOutputConfiguration = InferenceOutputConfiguration' (Maybe Text) InferenceS3OutputConfiguration
- newInferenceOutputConfiguration :: InferenceS3OutputConfiguration -> InferenceOutputConfiguration
- data InferenceS3InputConfiguration = InferenceS3InputConfiguration' (Maybe Text) Text
- newInferenceS3InputConfiguration :: Text -> InferenceS3InputConfiguration
- data InferenceS3OutputConfiguration = InferenceS3OutputConfiguration' (Maybe Text) Text
- newInferenceS3OutputConfiguration :: Text -> InferenceS3OutputConfiguration
- data InferenceSchedulerSummary = InferenceSchedulerSummary' (Maybe InferenceSchedulerStatus) (Maybe DataUploadFrequency) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text)
- newInferenceSchedulerSummary :: InferenceSchedulerSummary
- data IngestionInputConfiguration = IngestionInputConfiguration' IngestionS3InputConfiguration
- newIngestionInputConfiguration :: IngestionS3InputConfiguration -> IngestionInputConfiguration
- data IngestionS3InputConfiguration = IngestionS3InputConfiguration' (Maybe Text) Text
- newIngestionS3InputConfiguration :: Text -> IngestionS3InputConfiguration
- data LabelsInputConfiguration = LabelsInputConfiguration' LabelsS3InputConfiguration
- newLabelsInputConfiguration :: LabelsS3InputConfiguration -> LabelsInputConfiguration
- data LabelsS3InputConfiguration = LabelsS3InputConfiguration' (Maybe Text) Text
- newLabelsS3InputConfiguration :: Text -> LabelsS3InputConfiguration
- data ModelSummary = ModelSummary' (Maybe ModelStatus) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text)
- newModelSummary :: ModelSummary
- data S3Object = S3Object' Text Text
- newS3Object :: Text -> Text -> S3Object
- data Tag = Tag' Text Text
- newTag :: Text -> Text -> Tag
Service Configuration
defaultService :: Service Source #
API version 2020-12-15 of the Amazon Lookout for Equipment SDK configuration.
Errors
Error matchers are designed for use with the functions provided by
Control.Exception.Lens.
This allows catching (and rethrowing) service specific errors returned
by LookoutEquipment.
ValidationException
_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
_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
_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
_ServiceQuotaExceededException :: AsError a => Getting (First ServiceError) a ServiceError Source #
Resource limitations have been exceeded.
ThrottlingException
_ThrottlingException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The request was denied due to request throttling.
InternalServerException
_InternalServerException :: AsError a => Getting (First ServiceError) a ServiceError Source #
Processing of the request has failed because of an unknown error, exception or failure.
ResourceNotFoundException
_ResourceNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #
The resource requested could not be found. Verify the resource ID and retry your request.
Waiters
Waiters poll by repeatedly sending a request until some remote success condition
configured by the Wait specification is fulfilled. The Wait specification
determines how many attempts should be made, in addition to delay and retry strategies.
Operations
Some AWS operations return results that are incomplete and require subsequent
requests in order to obtain the entire result set. The process of sending
subsequent requests to continue where a previous request left off is called
pagination. For example, the ListObjects operation of Amazon S3 returns up to
1000 objects at a time, and you must send subsequent requests with the
appropriate Marker in order to retrieve the next page of results.
Operations that have an AWSPager instance can transparently perform subsequent
requests, correctly setting Markers and other request facets to iterate through
the entire result set of a truncated API operation. Operations which support
this have an additional note in the documentation.
Many operations have the ability to filter results on the server side. See the individual operation parameters for details.
StartInferenceScheduler
data StartInferenceScheduler Source #
See: newStartInferenceScheduler smart constructor.
Constructors
| StartInferenceScheduler' Text |
Instances
newStartInferenceScheduler Source #
Create a value of StartInferenceScheduler with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:inferenceSchedulerName:StartInferenceScheduler', startInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be started.
data StartInferenceSchedulerResponse Source #
See: newStartInferenceSchedulerResponse smart constructor.
Constructors
| StartInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int |
Instances
newStartInferenceSchedulerResponse Source #
Create a value of StartInferenceSchedulerResponse with all optional fields omitted.
Use 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:StartInferenceSchedulerResponse', startInferenceSchedulerResponse_status - Indicates the status of the inference scheduler.
$sel:modelArn:StartInferenceSchedulerResponse', startInferenceSchedulerResponse_modelArn - The Amazon Resource Name (ARN) of the ML model being used by the
inference scheduler.
$sel:modelName:StartInferenceSchedulerResponse', startInferenceSchedulerResponse_modelName - The name of the ML model being used by the inference scheduler.
$sel:inferenceSchedulerArn:StartInferenceSchedulerResponse', startInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being started.
$sel:inferenceSchedulerName:StartInferenceScheduler', startInferenceSchedulerResponse_inferenceSchedulerName - The name of the inference scheduler being started.
$sel:httpStatus:StartInferenceSchedulerResponse', startInferenceSchedulerResponse_httpStatus - The response's http status code.
DescribeDataset
data DescribeDataset Source #
See: newDescribeDataset smart constructor.
Constructors
| DescribeDataset' Text |
Instances
Arguments
| :: Text | |
| -> DescribeDataset |
Create a value of DescribeDataset with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetName:DescribeDataset', describeDataset_datasetName - The name of the dataset to be described.
data DescribeDatasetResponse Source #
See: newDescribeDatasetResponse smart constructor.
Constructors
| DescribeDatasetResponse' (Maybe IngestionInputConfiguration) (Maybe DatasetStatus) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) Int |
Instances
newDescribeDatasetResponse Source #
Create a value of DescribeDatasetResponse with all optional fields omitted.
Use 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:DescribeDatasetResponse', describeDatasetResponse_ingestionInputConfiguration - Specifies the S3 location configuration for the data input for the data
ingestion job.
$sel:status:DescribeDatasetResponse', describeDatasetResponse_status - Indicates the status of the dataset.
$sel:datasetArn:DescribeDatasetResponse', describeDatasetResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset being described.
$sel:lastUpdatedAt:DescribeDatasetResponse', describeDatasetResponse_lastUpdatedAt - Specifies the time the dataset was last updated, if it was.
$sel:createdAt:DescribeDatasetResponse', describeDatasetResponse_createdAt - Specifies the time the dataset was created in Amazon Lookout for
Equipment.
$sel:schema:DescribeDatasetResponse', describeDatasetResponse_schema - A JSON description of the data that is in each time series dataset,
including names, column names, and data types.
$sel:datasetName:DescribeDataset', describeDatasetResponse_datasetName - The name of the dataset being described.
$sel:serverSideKmsKeyId:DescribeDatasetResponse', describeDatasetResponse_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt dataset data by
Amazon Lookout for Equipment.
$sel:httpStatus:DescribeDatasetResponse', describeDatasetResponse_httpStatus - The response's http status code.
ListTagsForResource
data ListTagsForResource Source #
See: newListTagsForResource smart constructor.
Constructors
| ListTagsForResource' Text |
Instances
newListTagsForResource Source #
Arguments
| :: Text | |
| -> ListTagsForResource |
Create a value of ListTagsForResource with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:resourceArn:ListTagsForResource', listTagsForResource_resourceArn - The Amazon Resource Name (ARN) of the resource (such as the dataset or
model) that is the focus of the ListTagsForResource operation.
data ListTagsForResourceResponse Source #
See: newListTagsForResourceResponse smart constructor.
Constructors
| ListTagsForResourceResponse' (Maybe [Tag]) Int |
Instances
newListTagsForResourceResponse Source #
Create a value of ListTagsForResourceResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tags:ListTagsForResourceResponse', listTagsForResourceResponse_tags - Any tags associated with the resource.
$sel:httpStatus:ListTagsForResourceResponse', listTagsForResourceResponse_httpStatus - The response's http status code.
DescribeDataIngestionJob
data DescribeDataIngestionJob Source #
See: newDescribeDataIngestionJob smart constructor.
Constructors
| DescribeDataIngestionJob' Text |
Instances
newDescribeDataIngestionJob Source #
Create a value of DescribeDataIngestionJob with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:jobId:DescribeDataIngestionJob', describeDataIngestionJob_jobId - The job ID of the data ingestion job.
data DescribeDataIngestionJobResponse Source #
See: newDescribeDataIngestionJobResponse smart constructor.
Constructors
| DescribeDataIngestionJobResponse' (Maybe IngestionInputConfiguration) (Maybe IngestionJobStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) Int |
Instances
newDescribeDataIngestionJobResponse Source #
Create a value of DescribeDataIngestionJobResponse with all optional fields omitted.
Use 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:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_ingestionInputConfiguration - Specifies the S3 location configuration for the data input for the data
ingestion job.
$sel:status:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_status - Indicates the status of the DataIngestionJob operation.
$sel:datasetArn:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset being used in the data
ingestion job.
$sel:failedReason:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_failedReason - Specifies the reason for failure when a data ingestion job has failed.
$sel:jobId:DescribeDataIngestionJob', describeDataIngestionJobResponse_jobId - Indicates the job ID of the data ingestion job.
$sel:createdAt:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_createdAt - The time at which the data ingestion job was created.
$sel:roleArn:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_roleArn - The Amazon Resource Name (ARN) of an IAM role with permission to access
the data source being ingested.
$sel:httpStatus:DescribeDataIngestionJobResponse', describeDataIngestionJobResponse_httpStatus - The response's http status code.
CreateModel
data CreateModel Source #
See: newCreateModel smart constructor.
Constructors
| CreateModel' (Maybe DataPreProcessingConfiguration) (Maybe POSIX) (Maybe DatasetSchema) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe LabelsInputConfiguration) (Maybe [Tag]) (Maybe Text) (Maybe Text) Text Text Text |
Instances
Arguments
| :: Text | |
| -> Text | |
| -> Text | |
| -> CreateModel |
Create a value of CreateModel with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:dataPreProcessingConfiguration:CreateModel', createModel_dataPreProcessingConfiguration - 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
$sel:trainingDataEndTime:CreateModel', createModel_trainingDataEndTime - Indicates the time reference in the dataset that should be used to end
the subset of training data for the ML model.
$sel:datasetSchema:CreateModel', createModel_datasetSchema - The data schema for the ML model being created.
$sel:evaluationDataStartTime:CreateModel', createModel_evaluationDataStartTime - Indicates the time reference in the dataset that should be used to begin
the subset of evaluation data for the ML model.
$sel:offCondition:CreateModel', createModel_offCondition - Indicates that the asset associated with this sensor has been shut off.
As long as this condition is met, Lookout for Equipment will not use
data from this asset for training, evaluation, or inference.
$sel:evaluationDataEndTime:CreateModel', createModel_evaluationDataEndTime - Indicates the time reference in the dataset that should be used to end
the subset of evaluation data for the ML model.
$sel:trainingDataStartTime:CreateModel', createModel_trainingDataStartTime - Indicates the time reference in the dataset that should be used to begin
the subset of training data for the ML model.
$sel:labelsInputConfiguration:CreateModel', createModel_labelsInputConfiguration - The input configuration for the labels being used for the ML model
that's being created.
$sel:tags:CreateModel', createModel_tags - Any tags associated with the ML model being created.
$sel:serverSideKmsKeyId:CreateModel', createModel_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt model data by
Amazon Lookout for Equipment.
$sel:roleArn:CreateModel', createModel_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source being used to create the ML model.
$sel:modelName:CreateModel', createModel_modelName - The name for the ML model to be created.
$sel:datasetName:CreateModel', createModel_datasetName - The name of the dataset for the ML model being created.
$sel:clientToken:CreateModel', createModel_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data CreateModelResponse Source #
See: newCreateModelResponse smart constructor.
Constructors
| CreateModelResponse' (Maybe ModelStatus) (Maybe Text) Int |
Instances
newCreateModelResponse Source #
Arguments
| :: Int | |
| -> CreateModelResponse |
Create a value of CreateModelResponse with all optional fields omitted.
Use 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:CreateModelResponse', createModelResponse_status - Indicates the status of the CreateModel operation.
$sel:modelArn:CreateModelResponse', createModelResponse_modelArn - The Amazon Resource Name (ARN) of the model being created.
$sel:httpStatus:CreateModelResponse', createModelResponse_httpStatus - The response's http status code.
DeleteDataset
data DeleteDataset Source #
See: newDeleteDataset smart constructor.
Constructors
| DeleteDataset' Text |
Instances
Arguments
| :: Text | |
| -> DeleteDataset |
Create a value of DeleteDataset with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetName:DeleteDataset', deleteDataset_datasetName - The name of the dataset to be deleted.
data DeleteDatasetResponse Source #
See: newDeleteDatasetResponse smart constructor.
Constructors
| DeleteDatasetResponse' | |
Instances
newDeleteDatasetResponse :: DeleteDatasetResponse Source #
Create a value of DeleteDatasetResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
CreateDataset
data CreateDataset Source #
See: newCreateDataset smart constructor.
Constructors
| CreateDataset' (Maybe [Tag]) (Maybe Text) Text DatasetSchema Text |
Instances
Arguments
| :: Text | |
| -> DatasetSchema | |
| -> Text | |
| -> CreateDataset |
Create a value of CreateDataset with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:tags:CreateDataset', createDataset_tags - Any tags associated with the ingested data described in the dataset.
$sel:serverSideKmsKeyId:CreateDataset', createDataset_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt dataset data by
Amazon Lookout for Equipment.
$sel:datasetName:CreateDataset', createDataset_datasetName - The name of the dataset being created.
$sel:datasetSchema:CreateDataset', createDataset_datasetSchema - A JSON description of the data that is in each time series dataset,
including names, column names, and data types.
$sel:clientToken:CreateDataset', createDataset_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data CreateDatasetResponse Source #
See: newCreateDatasetResponse smart constructor.
Constructors
| CreateDatasetResponse' (Maybe DatasetStatus) (Maybe Text) (Maybe Text) Int |
Instances
newCreateDatasetResponse Source #
Create a value of CreateDatasetResponse with all optional fields omitted.
Use 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:CreateDatasetResponse', createDatasetResponse_status - Indicates the status of the CreateDataset operation.
$sel:datasetArn:CreateDatasetResponse', createDatasetResponse_datasetArn - The Amazon Resource Name (ARN) of the dataset being created.
$sel:datasetName:CreateDataset', createDatasetResponse_datasetName - The name of the dataset being created.
$sel:httpStatus:CreateDatasetResponse', createDatasetResponse_httpStatus - The response's http status code.
DeleteModel
data DeleteModel Source #
See: newDeleteModel smart constructor.
Constructors
| DeleteModel' Text |
Instances
Arguments
| :: Text | |
| -> DeleteModel |
Create a value of DeleteModel with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:modelName:DeleteModel', deleteModel_modelName - The name of the ML model to be deleted.
data DeleteModelResponse Source #
See: newDeleteModelResponse smart constructor.
Constructors
| DeleteModelResponse' | |
Instances
newDeleteModelResponse :: DeleteModelResponse Source #
Create a value of DeleteModelResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
ListModels
data ListModels Source #
See: newListModels smart constructor.
Instances
newListModels :: ListModels Source #
Create a value of ListModels with all optional fields omitted.
Use 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:ListModels', listModels_status - The status of the ML model.
$sel:nextToken:ListModels', listModels_nextToken - An opaque pagination token indicating where to continue the listing of
ML models.
$sel:datasetNameBeginsWith:ListModels', listModels_datasetNameBeginsWith - The beginning of the name of the dataset of the ML models to be listed.
$sel:modelNameBeginsWith:ListModels', listModels_modelNameBeginsWith - The beginning of the name of the ML models being listed.
$sel:maxResults:ListModels', listModels_maxResults - Specifies the maximum number of ML models to list.
data ListModelsResponse Source #
See: newListModelsResponse smart constructor.
Constructors
| ListModelsResponse' (Maybe Text) (Maybe [ModelSummary]) Int |
Instances
newListModelsResponse Source #
Arguments
| :: Int | |
| -> ListModelsResponse |
Create a value of ListModelsResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:nextToken:ListModels', listModelsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
ML models.
$sel:modelSummaries:ListModelsResponse', listModelsResponse_modelSummaries - Provides information on the specified model, including created time,
model and dataset ARNs, and status.
$sel:httpStatus:ListModelsResponse', listModelsResponse_httpStatus - The response's http status code.
StopInferenceScheduler
data StopInferenceScheduler Source #
See: newStopInferenceScheduler smart constructor.
Constructors
| StopInferenceScheduler' Text |
Instances
newStopInferenceScheduler Source #
Create a value of StopInferenceScheduler with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:inferenceSchedulerName:StopInferenceScheduler', stopInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be stopped.
data StopInferenceSchedulerResponse Source #
See: newStopInferenceSchedulerResponse smart constructor.
Constructors
| StopInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) Int |
Instances
newStopInferenceSchedulerResponse Source #
Create a value of StopInferenceSchedulerResponse with all optional fields omitted.
Use 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:StopInferenceSchedulerResponse', stopInferenceSchedulerResponse_status - Indicates the status of the inference scheduler.
$sel:modelArn:StopInferenceSchedulerResponse', stopInferenceSchedulerResponse_modelArn - The Amazon Resource Name (ARN) of the ML model used by the inference
scheduler being stopped.
$sel:modelName:StopInferenceSchedulerResponse', stopInferenceSchedulerResponse_modelName - The name of the ML model used by the inference scheduler being stopped.
$sel:inferenceSchedulerArn:StopInferenceSchedulerResponse', stopInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference schedule being stopped.
$sel:inferenceSchedulerName:StopInferenceScheduler', stopInferenceSchedulerResponse_inferenceSchedulerName - The name of the inference scheduler being stopped.
$sel:httpStatus:StopInferenceSchedulerResponse', stopInferenceSchedulerResponse_httpStatus - The response's http status code.
ListDataIngestionJobs
data ListDataIngestionJobs Source #
See: newListDataIngestionJobs smart constructor.
Constructors
| ListDataIngestionJobs' (Maybe IngestionJobStatus) (Maybe Text) (Maybe Text) (Maybe Natural) |
Instances
newListDataIngestionJobs :: ListDataIngestionJobs Source #
Create a value of ListDataIngestionJobs with all optional fields omitted.
Use 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:ListDataIngestionJobs', listDataIngestionJobs_status - Indicates the status of the data ingestion job.
$sel:nextToken:ListDataIngestionJobs', listDataIngestionJobs_nextToken - An opaque pagination token indicating where to continue the listing of
data ingestion jobs.
$sel:datasetName:ListDataIngestionJobs', listDataIngestionJobs_datasetName - The name of the dataset being used for the data ingestion job.
$sel:maxResults:ListDataIngestionJobs', listDataIngestionJobs_maxResults - Specifies the maximum number of data ingestion jobs to list.
data ListDataIngestionJobsResponse Source #
See: newListDataIngestionJobsResponse smart constructor.
Constructors
| ListDataIngestionJobsResponse' (Maybe Text) (Maybe [DataIngestionJobSummary]) Int |
Instances
newListDataIngestionJobsResponse Source #
Create a value of ListDataIngestionJobsResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:nextToken:ListDataIngestionJobs', listDataIngestionJobsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
data ingestion jobs.
$sel:dataIngestionJobSummaries:ListDataIngestionJobsResponse', listDataIngestionJobsResponse_dataIngestionJobSummaries - Specifies information about the specific data ingestion job, including
dataset name and status.
$sel:httpStatus:ListDataIngestionJobsResponse', listDataIngestionJobsResponse_httpStatus - The response's http status code.
DescribeModel
data DescribeModel Source #
See: newDescribeModel smart constructor.
Constructors
| DescribeModel' Text |
Instances
Arguments
| :: Text | |
| -> DescribeModel |
Create a value of DescribeModel with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:modelName:DescribeModel', describeModel_modelName - The name of the ML model to be described.
data DescribeModelResponse Source #
See: newDescribeModelResponse smart constructor.
Constructors
| DescribeModelResponse' (Maybe ModelStatus) (Maybe DataPreProcessingConfiguration) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe POSIX) (Maybe POSIX) (Maybe LabelsInputConfiguration) (Maybe Text) (Maybe Text) Int |
Instances
newDescribeModelResponse Source #
Create a value of DescribeModelResponse with all optional fields omitted.
Use 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:DescribeModelResponse', describeModelResponse_status - Specifies the current status of the model being described. Status
describes the status of the most recent action of the model.
$sel:dataPreProcessingConfiguration:DescribeModelResponse', describeModelResponse_dataPreProcessingConfiguration - 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
$sel:trainingExecutionStartTime:DescribeModelResponse', describeModelResponse_trainingExecutionStartTime - Indicates the time at which the training of the ML model began.
$sel:datasetArn:DescribeModelResponse', describeModelResponse_datasetArn - The Amazon Resouce Name (ARN) of the dataset used to create the ML model
being described.
$sel:failedReason:DescribeModelResponse', describeModelResponse_failedReason - If the training of the ML model failed, this indicates the reason for
that failure.
$sel:modelArn:DescribeModelResponse', describeModelResponse_modelArn - The Amazon Resource Name (ARN) of the ML model being described.
$sel:lastUpdatedTime:DescribeModelResponse', describeModelResponse_lastUpdatedTime - Indicates the last time the ML model was updated. The type of update is
not specified.
$sel:trainingDataEndTime:DescribeModelResponse', describeModelResponse_trainingDataEndTime - Indicates the time reference in the dataset that was used to end the
subset of training data for the ML model.
$sel:createdAt:DescribeModelResponse', describeModelResponse_createdAt - Indicates the time and date at which the ML model was created.
$sel:modelName:DescribeModel', describeModelResponse_modelName - The name of the ML model being described.
$sel:modelMetrics:DescribeModelResponse', describeModelResponse_modelMetrics - The Model Metrics show an aggregated summary of the model's performance
within the evaluation time range. This is the JSON content of the
metrics created when evaluating the model.
$sel:evaluationDataStartTime:DescribeModelResponse', describeModelResponse_evaluationDataStartTime - Indicates the time reference in the dataset that was used to begin the
subset of evaluation data for the ML model.
$sel:schema:DescribeModelResponse', describeModelResponse_schema - A JSON description of the data that is in each time series dataset,
including names, column names, and data types.
$sel:offCondition:DescribeModelResponse', describeModelResponse_offCondition - Indicates that the asset associated with this sensor has been shut off.
As long as this condition is met, Lookout for Equipment will not use
data from this asset for training, evaluation, or inference.
$sel:evaluationDataEndTime:DescribeModelResponse', describeModelResponse_evaluationDataEndTime - Indicates the time reference in the dataset that was used to end the
subset of evaluation data for the ML model.
$sel:datasetName:DescribeModelResponse', describeModelResponse_datasetName - The name of the dataset being used by the ML being described.
$sel:trainingDataStartTime:DescribeModelResponse', describeModelResponse_trainingDataStartTime - Indicates the time reference in the dataset that was used to begin the
subset of training data for the ML model.
$sel:trainingExecutionEndTime:DescribeModelResponse', describeModelResponse_trainingExecutionEndTime - Indicates the time at which the training of the ML model was completed.
$sel:labelsInputConfiguration:DescribeModelResponse', describeModelResponse_labelsInputConfiguration - Specifies configuration information about the labels input, including
its S3 location.
$sel:serverSideKmsKeyId:DescribeModelResponse', describeModelResponse_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt model data by
Amazon Lookout for Equipment.
$sel:roleArn:DescribeModelResponse', describeModelResponse_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the ML model being described.
$sel:httpStatus:DescribeModelResponse', describeModelResponse_httpStatus - The response's http status code.
StartDataIngestionJob
data StartDataIngestionJob Source #
See: newStartDataIngestionJob smart constructor.
Constructors
| StartDataIngestionJob' Text IngestionInputConfiguration Text Text |
Instances
newStartDataIngestionJob Source #
Arguments
| :: Text | |
| -> IngestionInputConfiguration | |
| -> Text | |
| -> Text | |
| -> StartDataIngestionJob |
Create a value of StartDataIngestionJob with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:datasetName:StartDataIngestionJob', startDataIngestionJob_datasetName - The name of the dataset being used by the data ingestion job.
$sel:ingestionInputConfiguration:StartDataIngestionJob', startDataIngestionJob_ingestionInputConfiguration - Specifies information for the input data for the data ingestion job,
including dataset S3 location.
$sel:roleArn:StartDataIngestionJob', startDataIngestionJob_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the data ingestion job.
$sel:clientToken:StartDataIngestionJob', startDataIngestionJob_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data StartDataIngestionJobResponse Source #
See: newStartDataIngestionJobResponse smart constructor.
Constructors
| StartDataIngestionJobResponse' (Maybe IngestionJobStatus) (Maybe Text) Int |
Instances
newStartDataIngestionJobResponse Source #
Create a value of StartDataIngestionJobResponse with all optional fields omitted.
Use 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:StartDataIngestionJobResponse', startDataIngestionJobResponse_status - Indicates the status of the StartDataIngestionJob operation.
$sel:jobId:StartDataIngestionJobResponse', startDataIngestionJobResponse_jobId - Indicates the job ID of the data ingestion job.
$sel:httpStatus:StartDataIngestionJobResponse', startDataIngestionJobResponse_httpStatus - The response's http status code.
ListInferenceSchedulers
data ListInferenceSchedulers Source #
See: newListInferenceSchedulers smart constructor.
Instances
newListInferenceSchedulers :: ListInferenceSchedulers Source #
Create a value of ListInferenceSchedulers with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:modelName:ListInferenceSchedulers', listInferenceSchedulers_modelName - The name of the ML model used by the inference scheduler to be listed.
$sel:nextToken:ListInferenceSchedulers', listInferenceSchedulers_nextToken - An opaque pagination token indicating where to continue the listing of
inference schedulers.
$sel:inferenceSchedulerNameBeginsWith:ListInferenceSchedulers', listInferenceSchedulers_inferenceSchedulerNameBeginsWith - The beginning of the name of the inference schedulers to be listed.
$sel:maxResults:ListInferenceSchedulers', listInferenceSchedulers_maxResults - Specifies the maximum number of inference schedulers to list.
data ListInferenceSchedulersResponse Source #
See: newListInferenceSchedulersResponse smart constructor.
Constructors
| ListInferenceSchedulersResponse' (Maybe [InferenceSchedulerSummary]) (Maybe Text) Int |
Instances
newListInferenceSchedulersResponse Source #
Create a value of ListInferenceSchedulersResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:inferenceSchedulerSummaries:ListInferenceSchedulersResponse', listInferenceSchedulersResponse_inferenceSchedulerSummaries - Provides information about the specified inference scheduler, including
data upload frequency, model name and ARN, and status.
$sel:nextToken:ListInferenceSchedulers', listInferenceSchedulersResponse_nextToken - An opaque pagination token indicating where to continue the listing of
inference schedulers.
$sel:httpStatus:ListInferenceSchedulersResponse', listInferenceSchedulersResponse_httpStatus - The response's http status code.
UpdateInferenceScheduler
data UpdateInferenceScheduler Source #
See: newUpdateInferenceScheduler smart constructor.
Constructors
| UpdateInferenceScheduler' (Maybe DataUploadFrequency) (Maybe Natural) (Maybe InferenceOutputConfiguration) (Maybe InferenceInputConfiguration) (Maybe Text) Text |
Instances
newUpdateInferenceScheduler Source #
Create a value of UpdateInferenceScheduler with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:dataUploadFrequency:UpdateInferenceScheduler', updateInferenceScheduler_dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data.
The value chosen 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:UpdateInferenceScheduler', updateInferenceScheduler_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if you select an offset delay time
of five minutes, 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:dataOutputConfiguration:UpdateInferenceScheduler', updateInferenceScheduler_dataOutputConfiguration - Specifies information for the output results from the inference
scheduler, including the output S3 location.
$sel:dataInputConfiguration:UpdateInferenceScheduler', updateInferenceScheduler_dataInputConfiguration - Specifies information for the input data for the inference scheduler,
including delimiter, format, and dataset location.
$sel:roleArn:UpdateInferenceScheduler', updateInferenceScheduler_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the inference scheduler.
$sel:inferenceSchedulerName:UpdateInferenceScheduler', updateInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be updated.
data UpdateInferenceSchedulerResponse Source #
See: newUpdateInferenceSchedulerResponse smart constructor.
Constructors
| UpdateInferenceSchedulerResponse' | |
Instances
newUpdateInferenceSchedulerResponse :: UpdateInferenceSchedulerResponse Source #
Create a value of UpdateInferenceSchedulerResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
DeleteInferenceScheduler
data DeleteInferenceScheduler Source #
See: newDeleteInferenceScheduler smart constructor.
Constructors
| DeleteInferenceScheduler' Text |
Instances
newDeleteInferenceScheduler Source #
Create a value of DeleteInferenceScheduler with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:inferenceSchedulerName:DeleteInferenceScheduler', deleteInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler to be deleted.
data DeleteInferenceSchedulerResponse Source #
See: newDeleteInferenceSchedulerResponse smart constructor.
Constructors
| DeleteInferenceSchedulerResponse' | |
Instances
newDeleteInferenceSchedulerResponse :: DeleteInferenceSchedulerResponse Source #
Create a value of DeleteInferenceSchedulerResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
TagResource
data TagResource Source #
See: newTagResource smart constructor.
Constructors
| TagResource' Text [Tag] |
Instances
Arguments
| :: Text | |
| -> TagResource |
Create a value of TagResource with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:resourceArn:TagResource', tagResource_resourceArn - The Amazon Resource Name (ARN) of the specific resource to which the tag
should be associated.
$sel:tags:TagResource', tagResource_tags - The tag or tags to be associated with a specific resource. Both the tag
key and value are specified.
data TagResourceResponse Source #
See: newTagResourceResponse smart constructor.
Constructors
| TagResourceResponse' Int |
Instances
newTagResourceResponse Source #
Arguments
| :: Int | |
| -> TagResourceResponse |
Create a value of TagResourceResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:httpStatus:TagResourceResponse', tagResourceResponse_httpStatus - The response's http status code.
ListInferenceExecutions
data ListInferenceExecutions Source #
See: newListInferenceExecutions smart constructor.
Constructors
| ListInferenceExecutions' (Maybe InferenceExecutionStatus) (Maybe POSIX) (Maybe Text) (Maybe Natural) (Maybe POSIX) Text |
Instances
newListInferenceExecutions Source #
Create a value of ListInferenceExecutions with all optional fields omitted.
Use 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:ListInferenceExecutions', listInferenceExecutions_status - The status of the inference execution.
$sel:dataEndTimeBefore:ListInferenceExecutions', listInferenceExecutions_dataEndTimeBefore - The time reference in the inferenced dataset before which Amazon Lookout
for Equipment stopped the inference execution.
$sel:nextToken:ListInferenceExecutions', listInferenceExecutions_nextToken - An opaque pagination token indicating where to continue the listing of
inference executions.
$sel:maxResults:ListInferenceExecutions', listInferenceExecutions_maxResults - Specifies the maximum number of inference executions to list.
$sel:dataStartTimeAfter:ListInferenceExecutions', listInferenceExecutions_dataStartTimeAfter - The time reference in the inferenced dataset after which Amazon Lookout
for Equipment started the inference execution.
$sel:inferenceSchedulerName:ListInferenceExecutions', listInferenceExecutions_inferenceSchedulerName - The name of the inference scheduler for the inference execution listed.
data ListInferenceExecutionsResponse Source #
See: newListInferenceExecutionsResponse smart constructor.
Constructors
| ListInferenceExecutionsResponse' (Maybe Text) (Maybe [InferenceExecutionSummary]) Int |
Instances
newListInferenceExecutionsResponse Source #
Create a value of ListInferenceExecutionsResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:nextToken:ListInferenceExecutions', listInferenceExecutionsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
inference executions.
$sel:inferenceExecutionSummaries:ListInferenceExecutionsResponse', listInferenceExecutionsResponse_inferenceExecutionSummaries - Provides an array of information about the individual inference
executions returned from the ListInferenceExecutions operation,
including model used, inference scheduler, data configuration, and so
on.
$sel:httpStatus:ListInferenceExecutionsResponse', listInferenceExecutionsResponse_httpStatus - The response's http status code.
CreateInferenceScheduler
data CreateInferenceScheduler Source #
See: newCreateInferenceScheduler smart constructor.
Constructors
| CreateInferenceScheduler' (Maybe Natural) (Maybe [Tag]) (Maybe Text) Text Text DataUploadFrequency InferenceInputConfiguration InferenceOutputConfiguration Text Text |
Instances
newCreateInferenceScheduler Source #
Arguments
| :: Text | |
| -> Text | |
| -> DataUploadFrequency | |
| -> InferenceInputConfiguration | |
| -> InferenceOutputConfiguration | |
| -> Text | |
| -> Text | |
| -> CreateInferenceScheduler |
Create a value of CreateInferenceScheduler with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:dataDelayOffsetInMinutes:CreateInferenceScheduler', createInferenceScheduler_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if you select an offset delay time
of five minutes, 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:tags:CreateInferenceScheduler', createInferenceScheduler_tags - Any tags associated with the inference scheduler.
$sel:serverSideKmsKeyId:CreateInferenceScheduler', createInferenceScheduler_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt inference
scheduler data by Amazon Lookout for Equipment.
$sel:modelName:CreateInferenceScheduler', createInferenceScheduler_modelName - The name of the previously trained ML model being used to create the
inference scheduler.
$sel:inferenceSchedulerName:CreateInferenceScheduler', createInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler being created.
$sel:dataUploadFrequency:CreateInferenceScheduler', createInferenceScheduler_dataUploadFrequency - How often data is uploaded to the source S3 bucket for the input data.
The value chosen 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:dataInputConfiguration:CreateInferenceScheduler', createInferenceScheduler_dataInputConfiguration - Specifies configuration information for the input data for the inference
scheduler, including delimiter, format, and dataset location.
$sel:dataOutputConfiguration:CreateInferenceScheduler', createInferenceScheduler_dataOutputConfiguration - Specifies configuration information for the output results for the
inference scheduler, including the S3 location for the output.
$sel:roleArn:CreateInferenceScheduler', createInferenceScheduler_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source being used for the inference.
$sel:clientToken:CreateInferenceScheduler', createInferenceScheduler_clientToken - A unique identifier for the request. If you do not set the client
request token, Amazon Lookout for Equipment generates one.
data CreateInferenceSchedulerResponse Source #
See: newCreateInferenceSchedulerResponse smart constructor.
Constructors
| CreateInferenceSchedulerResponse' (Maybe InferenceSchedulerStatus) (Maybe Text) (Maybe Text) Int |
Instances
newCreateInferenceSchedulerResponse Source #
Create a value of CreateInferenceSchedulerResponse with all optional fields omitted.
Use 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:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_status - Indicates the status of the CreateInferenceScheduler operation.
$sel:inferenceSchedulerArn:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being created.
$sel:inferenceSchedulerName:CreateInferenceScheduler', createInferenceSchedulerResponse_inferenceSchedulerName - The name of inference scheduler being created.
$sel:httpStatus:CreateInferenceSchedulerResponse', createInferenceSchedulerResponse_httpStatus - The response's http status code.
ListDatasets
data ListDatasets Source #
See: newListDatasets smart constructor.
Instances
newListDatasets :: ListDatasets Source #
Create a value of ListDatasets with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:nextToken:ListDatasets', listDatasets_nextToken - An opaque pagination token indicating where to continue the listing of
datasets.
$sel:datasetNameBeginsWith:ListDatasets', listDatasets_datasetNameBeginsWith - The beginning of the name of the datasets to be listed.
$sel:maxResults:ListDatasets', listDatasets_maxResults - Specifies the maximum number of datasets to list.
data ListDatasetsResponse Source #
See: newListDatasetsResponse smart constructor.
Constructors
| ListDatasetsResponse' (Maybe Text) (Maybe [DatasetSummary]) Int |
Instances
newListDatasetsResponse Source #
Arguments
| :: Int | |
| -> ListDatasetsResponse |
Create a value of ListDatasetsResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:nextToken:ListDatasets', listDatasetsResponse_nextToken - An opaque pagination token indicating where to continue the listing of
datasets.
$sel:datasetSummaries:ListDatasetsResponse', listDatasetsResponse_datasetSummaries - Provides information about the specified dataset, including creation
time, dataset ARN, and status.
$sel:httpStatus:ListDatasetsResponse', listDatasetsResponse_httpStatus - The response's http status code.
UntagResource
data UntagResource Source #
See: newUntagResource smart constructor.
Constructors
| UntagResource' Text [Text] |
Instances
Arguments
| :: Text | |
| -> UntagResource |
Create a value of UntagResource with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:resourceArn:UntagResource', untagResource_resourceArn - The Amazon Resource Name (ARN) of the resource to which the tag is
currently associated.
$sel:tagKeys:UntagResource', untagResource_tagKeys - Specifies the key of the tag to be removed from a specified resource.
data UntagResourceResponse Source #
See: newUntagResourceResponse smart constructor.
Constructors
| UntagResourceResponse' Int |
Instances
newUntagResourceResponse Source #
Create a value of UntagResourceResponse with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:httpStatus:UntagResourceResponse', untagResourceResponse_httpStatus - The response's http status code.
DescribeInferenceScheduler
data DescribeInferenceScheduler Source #
See: newDescribeInferenceScheduler smart constructor.
Constructors
| DescribeInferenceScheduler' Text |
Instances
newDescribeInferenceScheduler Source #
Arguments
| :: Text | |
| -> DescribeInferenceScheduler |
Create a value of DescribeInferenceScheduler with all optional fields omitted.
Use generic-lens or optics to modify other optional fields.
The following record fields are available, with the corresponding lenses provided for backwards compatibility:
$sel:inferenceSchedulerName:DescribeInferenceScheduler', describeInferenceScheduler_inferenceSchedulerName - The name of the inference scheduler being described.
data DescribeInferenceSchedulerResponse Source #
See: newDescribeInferenceSchedulerResponse smart constructor.
Constructors
Instances
newDescribeInferenceSchedulerResponse Source #
Arguments
| :: Int | |
| -> DescribeInferenceSchedulerResponse |
Create a value of DescribeInferenceSchedulerResponse with all optional fields omitted.
Use 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:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_status - Indicates the status of the inference scheduler.
$sel:dataUploadFrequency:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_dataUploadFrequency - Specifies 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:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_dataDelayOffsetInMinutes - A period of time (in minutes) by which inference on the data is delayed
after the data starts. For instance, if you select an offset delay time
of five minutes, 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:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_modelArn - The Amazon Resource Name (ARN) of the ML model of the inference
scheduler being described.
$sel:createdAt:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_createdAt - Specifies the time at which the inference scheduler was created.
$sel:modelName:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_modelName - The name of the ML model of the inference scheduler being described.
$sel:inferenceSchedulerArn:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being
described.
$sel:dataOutputConfiguration:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_dataOutputConfiguration - Specifies information for the output results for the inference
scheduler, including the output S3 location.
$sel:updatedAt:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_updatedAt - Specifies the time at which the inference scheduler was last updated, if
it was.
$sel:inferenceSchedulerName:DescribeInferenceScheduler', describeInferenceSchedulerResponse_inferenceSchedulerName - The name of the inference scheduler being described.
$sel:dataInputConfiguration:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_dataInputConfiguration - Specifies configuration information for the input data for the inference
scheduler, including delimiter, format, and dataset location.
$sel:serverSideKmsKeyId:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_serverSideKmsKeyId - Provides the identifier of the KMS key used to encrypt inference
scheduler data by Amazon Lookout for Equipment.
$sel:roleArn:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_roleArn - The Amazon Resource Name (ARN) of a role with permission to access the
data source for the inference scheduler being described.
$sel:httpStatus:DescribeInferenceSchedulerResponse', describeInferenceSchedulerResponse_httpStatus - The response's http status code.
Types
DataUploadFrequency
newtype DataUploadFrequency Source #
Constructors
| DataUploadFrequency' | |
Fields | |
Bundled Patterns
| 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 #
Constructors
| DatasetStatus' | |
Fields | |
Bundled Patterns
| pattern DatasetStatus_ACTIVE :: DatasetStatus | |
| pattern DatasetStatus_CREATED :: DatasetStatus | |
| pattern DatasetStatus_INGESTION_IN_PROGRESS :: DatasetStatus |
Instances
InferenceExecutionStatus
newtype InferenceExecutionStatus Source #
Constructors
| InferenceExecutionStatus' | |
Fields | |
Bundled Patterns
Instances
InferenceSchedulerStatus
newtype InferenceSchedulerStatus Source #
Constructors
| InferenceSchedulerStatus' | |
Fields | |
Bundled Patterns
Instances
IngestionJobStatus
newtype IngestionJobStatus Source #
Constructors
| IngestionJobStatus' | |
Fields | |
Bundled Patterns
| pattern IngestionJobStatus_FAILED :: IngestionJobStatus | |
| pattern IngestionJobStatus_IN_PROGRESS :: IngestionJobStatus | |
| pattern IngestionJobStatus_SUCCESS :: IngestionJobStatus |
Instances
ModelStatus
newtype ModelStatus Source #
Constructors
| ModelStatus' | |
Fields | |
Bundled Patterns
| pattern ModelStatus_FAILED :: ModelStatus | |
| pattern ModelStatus_IN_PROGRESS :: ModelStatus | |
| pattern ModelStatus_SUCCESS :: ModelStatus |
Instances
TargetSamplingRate
newtype TargetSamplingRate Source #
Constructors
| TargetSamplingRate' | |
Fields | |
Bundled Patterns
| 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.
Constructors
| DataIngestionJobSummary' (Maybe IngestionInputConfiguration) (Maybe IngestionJobStatus) (Maybe Text) (Maybe Text) (Maybe Text) |
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.
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.
Constructors
| DataPreProcessingConfiguration' (Maybe TargetSamplingRate) |
Instances
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
DatasetSchema
data DatasetSchema Source #
Provides information about the data schema used with the given dataset.
See: newDatasetSchema smart constructor.
Constructors
| DatasetSchema' (Maybe Text) |
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.
Constructors
| DatasetSummary' (Maybe DatasetStatus) (Maybe Text) (Maybe POSIX) (Maybe Text) |
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.
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.
Constructors
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.
InferenceInputConfiguration
data InferenceInputConfiguration Source #
Specifies configuration information for the input data for the inference, including S3 location of input data..
See: newInferenceInputConfiguration smart constructor.
Constructors
| InferenceInputConfiguration' (Maybe Text) (Maybe InferenceS3InputConfiguration) (Maybe InferenceInputNameConfiguration) |
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.
InferenceInputNameConfiguration
data InferenceInputNameConfiguration Source #
Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
See: newInferenceInputNameConfiguration smart constructor.
Constructors
| InferenceInputNameConfiguration' (Maybe Text) (Maybe Text) |
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.
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.
Constructors
| InferenceOutputConfiguration' (Maybe Text) InferenceS3OutputConfiguration |
Instances
newInferenceOutputConfiguration Source #
Arguments
| :: InferenceS3OutputConfiguration | |
| -> InferenceOutputConfiguration |
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.
InferenceS3InputConfiguration
data InferenceS3InputConfiguration Source #
Specifies configuration information for the input data for the inference, including input data S3 location.
See: newInferenceS3InputConfiguration smart constructor.
Constructors
| InferenceS3InputConfiguration' (Maybe Text) Text |
Instances
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.
InferenceS3OutputConfiguration
data InferenceS3OutputConfiguration Source #
Specifies configuration information for the output results from the inference, including output S3 location.
See: newInferenceS3OutputConfiguration smart constructor.
Constructors
| InferenceS3OutputConfiguration' (Maybe Text) Text |
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
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.
Constructors
| InferenceSchedulerSummary' (Maybe InferenceSchedulerStatus) (Maybe DataUploadFrequency) (Maybe Natural) (Maybe Text) (Maybe Text) (Maybe Text) (Maybe Text) |
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.
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.
Instances
newIngestionInputConfiguration Source #
Arguments
| :: IngestionS3InputConfiguration | |
| -> IngestionInputConfiguration |
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.
IngestionS3InputConfiguration
data IngestionS3InputConfiguration Source #
Specifies S3 configuration information for the input data for the data ingestion job.
See: newIngestionS3InputConfiguration smart constructor.
Constructors
| IngestionS3InputConfiguration' (Maybe Text) Text |
Instances
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.
LabelsInputConfiguration
data LabelsInputConfiguration Source #
Contains the configuration information for the S3 location being used to hold label data.
See: newLabelsInputConfiguration smart constructor.
Constructors
| LabelsInputConfiguration' LabelsS3InputConfiguration |
Instances
newLabelsInputConfiguration Source #
Arguments
| :: LabelsS3InputConfiguration | |
| -> LabelsInputConfiguration |
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.
LabelsS3InputConfiguration
data LabelsS3InputConfiguration Source #
The location information (prefix and bucket name) for the s3 location being used for label data.
See: newLabelsS3InputConfiguration smart constructor.
Constructors
| LabelsS3InputConfiguration' (Maybe Text) Text |
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.
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.
Constructors
| ModelSummary' (Maybe ModelStatus) (Maybe Text) (Maybe Text) (Maybe POSIX) (Maybe Text) (Maybe Text) |
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.
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.
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.