DescribeModelResponse

import type { DescribeModelResponse } from "https://aws-api.deno.dev/v0.4/services/lookoutequipment.ts?docs=full";

interface DescribeModelResponse {

CreatedAt?: Date | number | null;

DataPreProcessingConfiguration?: DataPreProcessingConfiguration | null;

DatasetArn?: string | null;

DatasetName?: string | null;

EvaluationDataEndTime?: Date | number | null;

EvaluationDataStartTime?: Date | number | null;

FailedReason?: string | null;

LabelsInputConfiguration?: LabelsInputConfiguration | null;

LastUpdatedTime?: Date | number | null;

ModelArn?: string | null;

ModelMetrics?: jsonP.JSONValue | null;

ModelName?: string | null;

OffCondition?: string | null;

RoleArn?: string | null;

Schema?: jsonP.JSONValue | null;

ServerSideKmsKeyId?: string | null;

Status?: ModelStatus | null;

TrainingDataEndTime?: Date | number | null;

TrainingDataStartTime?: Date | number | null;

TrainingExecutionEndTime?: Date | number | null;

TrainingExecutionStartTime?: Date | number | null;

}

§Properties

CreatedAt?: Date | number | null

[src]

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

DataPreProcessingConfiguration?: DataPreProcessingConfiguration | null

[src]

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

DatasetArn?: string | null

[src]

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

DatasetName?: string | null

[src]

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

EvaluationDataEndTime?: Date | number | null

[src]

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

EvaluationDataStartTime?: Date | number | null

[src]

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

FailedReason?: string | null

[src]

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

LabelsInputConfiguration?: LabelsInputConfiguration | null

[src]

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

LastUpdatedTime?: Date | number | null

[src]

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

ModelArn?: string | null

[src]

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

ModelMetrics?: jsonP.JSONValue | null

[src]

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.

ModelName?: string | null

[src]

The name of the ML model being described.

OffCondition?: string | null

[src]

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.

RoleArn?: string | null

[src]

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

Schema?: jsonP.JSONValue | null

[src]

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

ServerSideKmsKeyId?: string | null

[src]

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

Status?: ModelStatus | null

[src]

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

TrainingDataEndTime?: Date | number | null

[src]

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

TrainingDataStartTime?: Date | number | null

[src]

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

TrainingExecutionEndTime?: Date | number | null

[src]

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

TrainingExecutionStartTime?: Date | number | null

[src]

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