CreateAutoMLJobRequest

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

interface CreateAutoMLJobRequest {

AutoMLJobConfig?: AutoMLJobConfig | null;

AutoMLJobName: string;

AutoMLJobObjective?: AutoMLJobObjective | null;

GenerateCandidateDefinitionsOnly?: boolean | null;

InputDataConfig: AutoMLChannel[];

ModelDeployConfig?: ModelDeployConfig | null;

OutputDataConfig: AutoMLOutputDataConfig;

ProblemType?: ProblemType | null;

RoleArn: string;

Tags?: Tag[] | null;

}

§Properties

AutoMLJobConfig?: AutoMLJobConfig | null

[src]

A collection of settings used to configure an AutoML job.

AutoMLJobName: string

[src]

Identifies an Autopilot job. The name must be unique to your account and is case insensitive.

AutoMLJobObjective?: AutoMLJobObjective | null

[src]

Defines the objective metric used to measure the predictive quality of an AutoML job. You provide an "AutoMLJobObjective$MetricName" and Autopilot infers whether to minimize or maximize it.

GenerateCandidateDefinitionsOnly?: boolean | null

[src]

Generates possible candidates without training the models. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.

InputDataConfig: AutoMLChannel[]

[src]

An array of channel objects that describes the input data and its location. Each channel is a named input source. Similar to InputDataConfig supported by . Format(s) supported: CSV, Parquet. A minimum of 500 rows is required for the training dataset. There is not a minimum number of rows required for the validation dataset.

ModelDeployConfig?: ModelDeployConfig | null

[src]

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.

OutputDataConfig: AutoMLOutputDataConfig

[src]

Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job. Format(s) supported: CSV.

ProblemType?: ProblemType | null

[src]

Defines the type of supervised learning available for the candidates. For more information, see Amazon SageMaker Autopilot problem types and algorithm support.

RoleArn: string

[src]

The ARN of the role that is used to access the data.

Tags?: Tag[] | null

[src]

Each tag consists of a key and an optional value. Tag keys must be unique per resource.