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Interface CreateModelRequest

Hierarchy

Index

Properties

Optional ClientToken

ClientToken: undefined | string

A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

Optional DataPreProcessingConfiguration

DataPreProcessingConfiguration: 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

DatasetName

DatasetName: string | undefined

The name of the dataset for the ML model being created.

Optional DatasetSchema

DatasetSchema: DatasetSchema

The data schema for the ML model being created.

Optional EvaluationDataEndTime

EvaluationDataEndTime: Date

Indicates the time reference in the dataset that should be used to end the subset of evaluation data for the ML model.

Optional EvaluationDataStartTime

EvaluationDataStartTime: Date

Indicates the time reference in the dataset that should be used to begin the subset of evaluation data for the ML model.

Optional LabelsInputConfiguration

LabelsInputConfiguration: LabelsInputConfiguration

The input configuration for the labels being used for the ML model that's being created.

ModelName

ModelName: string | undefined

The name for the ML model to be created.

Optional OffCondition

OffCondition: undefined | string

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.

Optional RoleArn

RoleArn: undefined | string

The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the ML model.

Optional ServerSideKmsKeyId

ServerSideKmsKeyId: undefined | string

Provides the identifier of the KMS key used to encrypt model data by Amazon Lookout for Equipment.

Optional Tags

Tags: Tag[]

Any tags associated with the ML model being created.

Optional TrainingDataEndTime

TrainingDataEndTime: Date

Indicates the time reference in the dataset that should be used to end the subset of training data for the ML model.

Optional TrainingDataStartTime

TrainingDataStartTime: Date

Indicates the time reference in the dataset that should be used to begin the subset of training data for the ML model.