Uses of Class
com.amazonaws.services.sagemaker.model.CreateAutoMLJobV2Request

Packages that use CreateAutoMLJobV2Request

Package	Description
com.amazonaws.services.sagemaker	Provides APIs for creating and managing SageMaker resources.
com.amazonaws.services.sagemaker.model

Uses of CreateAutoMLJobV2Request in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker with parameters of type CreateAutoMLJobV2Request

Modifier and Type	Method and Description
CreateAutoMLJobV2Result	AbstractAmazonSageMaker.createAutoMLJobV2(CreateAutoMLJobV2Request request)
CreateAutoMLJobV2Result	AmazonSageMakerClient.createAutoMLJobV2(CreateAutoMLJobV2Request request) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
CreateAutoMLJobV2Result	AmazonSageMaker.createAutoMLJobV2(CreateAutoMLJobV2Request createAutoMLJobV2Request) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
Future<CreateAutoMLJobV2Result>	AbstractAmazonSageMakerAsync.createAutoMLJobV2Async(CreateAutoMLJobV2Request request)
Future<CreateAutoMLJobV2Result>	AmazonSageMakerAsyncClient.createAutoMLJobV2Async(CreateAutoMLJobV2Request request)
Future<CreateAutoMLJobV2Result>	AmazonSageMakerAsync.createAutoMLJobV2Async(CreateAutoMLJobV2Request createAutoMLJobV2Request) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
Future<CreateAutoMLJobV2Result>	AbstractAmazonSageMakerAsync.createAutoMLJobV2Async(CreateAutoMLJobV2Request request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler)
Future<CreateAutoMLJobV2Result>	AmazonSageMakerAsyncClient.createAutoMLJobV2Async(CreateAutoMLJobV2Request request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler)
Future<CreateAutoMLJobV2Result>	AmazonSageMakerAsync.createAutoMLJobV2Async(CreateAutoMLJobV2Request createAutoMLJobV2Request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.

Method parameters in com.amazonaws.services.sagemaker with type arguments of type CreateAutoMLJobV2Request

Modifier and Type	Method and Description
Future<CreateAutoMLJobV2Result>	AbstractAmazonSageMakerAsync.createAutoMLJobV2Async(CreateAutoMLJobV2Request request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler)
Future<CreateAutoMLJobV2Result>	AmazonSageMakerAsyncClient.createAutoMLJobV2Async(CreateAutoMLJobV2Request request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler)
Future<CreateAutoMLJobV2Result>	AmazonSageMakerAsync.createAutoMLJobV2Async(CreateAutoMLJobV2Request createAutoMLJobV2Request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.

Uses of CreateAutoMLJobV2Request in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return CreateAutoMLJobV2Request

Modifier and Type	Method and Description
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.clone()
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withAutoMLJobInputDataConfig(AutoMLJobChannel... autoMLJobInputDataConfig) An array of channel objects describing the input data and their location.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withAutoMLJobInputDataConfig(Collection<AutoMLJobChannel> autoMLJobInputDataConfig) An array of channel objects describing the input data and their location.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withAutoMLJobName(String autoMLJobName) Identifies an Autopilot job.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withAutoMLJobObjective(AutoMLJobObjective autoMLJobObjective) Specifies a metric to minimize or maximize as the objective of a job.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withAutoMLProblemTypeConfig(AutoMLProblemTypeConfig autoMLProblemTypeConfig) Defines the configuration settings of one of the supported problem types.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withDataSplitConfig(AutoMLDataSplitConfig dataSplitConfig) This structure specifies how to split the data into train and validation datasets.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withModelDeployConfig(ModelDeployConfig modelDeployConfig) Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withOutputDataConfig(AutoMLOutputDataConfig outputDataConfig) Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withRoleArn(String roleArn) The ARN of the role that is used to access the data.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withSecurityConfig(AutoMLSecurityConfig securityConfig) The security configuration for traffic encryption or Amazon VPC settings.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withTags(Collection<Tag> tags) An array of key-value pairs.
CreateAutoMLJobV2Request	CreateAutoMLJobV2Request.withTags(Tag... tags) An array of key-value pairs.