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Interface DescribeModelResponse

Hierarchy

Index

Properties

Optional CreatedAt

CreatedAt: Date

Indicates the time and date at which the ML model was created.

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

Optional DatasetArn

DatasetArn: undefined | string

The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.

Optional DatasetName

DatasetName: undefined | string

The name of the dataset being used by the ML being described.

Optional EvaluationDataEndTime

EvaluationDataEndTime: Date

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

Optional EvaluationDataStartTime

EvaluationDataStartTime: Date

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

Optional FailedReason

FailedReason: undefined | string

If the training of the ML model failed, this indicates the reason for that failure.

Optional LabelsInputConfiguration

LabelsInputConfiguration: LabelsInputConfiguration

Specifies configuration information about the labels input, including its S3 location.

Optional LastUpdatedTime

LastUpdatedTime: Date

Indicates the last time the ML model was updated. The type of update is not specified.

Optional ModelArn

ModelArn: undefined | string

The Amazon Resource Name (ARN) of the ML model being described.

Optional ModelMetrics

ModelMetrics: __LazyJsonString | string

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.

Optional ModelName

ModelName: undefined | string

The name of the ML model being described.

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 for the ML model being described.

Optional Schema

Schema: __LazyJsonString | string

A JSON description of the data that is in each time series dataset, including names, column names, and data types.

Optional ServerSideKmsKeyId

ServerSideKmsKeyId: undefined | string

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

Optional Status

Status: ModelStatus | string

Specifies the current status of the model being described. Status describes the status of the most recent action of the model.

Optional TrainingDataEndTime

TrainingDataEndTime: Date

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

Optional TrainingDataStartTime

TrainingDataStartTime: Date

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

Optional TrainingExecutionEndTime

TrainingExecutionEndTime: Date

Indicates the time at which the training of the ML model was completed.

Optional TrainingExecutionStartTime

TrainingExecutionStartTime: Date

Indicates the time at which the training of the ML model began.