CreateModelRequest

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

interface CreateModelRequest {

ClientToken: string;

DataPreProcessingConfiguration?: DataPreProcessingConfiguration | null;

DatasetName: string;

DatasetSchema?: DatasetSchema | null;

EvaluationDataEndTime?: Date | number | null;

EvaluationDataStartTime?: Date | number | null;

LabelsInputConfiguration?: LabelsInputConfiguration | null;

ModelName: string;

OffCondition?: string | null;

RoleArn?: string | null;

ServerSideKmsKeyId?: string | null;

Tags?: Tag[] | null;

TrainingDataEndTime?: Date | number | null;

TrainingDataStartTime?: Date | number | null;

}

§Properties

ClientToken: string

[src]

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

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

DatasetName: string

[src]

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

DatasetSchema?: DatasetSchema | null

[src]

The data schema for the ML model being created.

EvaluationDataEndTime?: Date | number | null

[src]

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

LabelsInputConfiguration?: LabelsInputConfiguration | null

[src]

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

ModelName: string

[src]

The name for the ML model to be created.

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 being used to create the ML model.

ServerSideKmsKeyId?: string | null

[src]

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

Tags?: Tag[] | null

[src]

Any tags associated with the ML model being created.

TrainingDataEndTime?: Date | number | null

[src]

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