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

Packages that use CreateAutoMLJobRequest

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

Uses of CreateAutoMLJobRequest in com.amazonaws.services.sagemaker

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

Modifier and Type	Method and Description
CreateAutoMLJobResult	AmazonSageMakerClient.createAutoMLJob(CreateAutoMLJobRequest request) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
CreateAutoMLJobResult	AbstractAmazonSageMaker.createAutoMLJob(CreateAutoMLJobRequest request)
CreateAutoMLJobResult	AmazonSageMaker.createAutoMLJob(CreateAutoMLJobRequest createAutoMLJobRequest) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
Future<CreateAutoMLJobResult>	AmazonSageMakerAsyncClient.createAutoMLJobAsync(CreateAutoMLJobRequest request)
Future<CreateAutoMLJobResult>	AbstractAmazonSageMakerAsync.createAutoMLJobAsync(CreateAutoMLJobRequest request)
Future<CreateAutoMLJobResult>	AmazonSageMakerAsync.createAutoMLJobAsync(CreateAutoMLJobRequest createAutoMLJobRequest) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
Future<CreateAutoMLJobResult>	AmazonSageMakerAsyncClient.createAutoMLJobAsync(CreateAutoMLJobRequest request, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler)
Future<CreateAutoMLJobResult>	AbstractAmazonSageMakerAsync.createAutoMLJobAsync(CreateAutoMLJobRequest request, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler)
Future<CreateAutoMLJobResult>	AmazonSageMakerAsync.createAutoMLJobAsync(CreateAutoMLJobRequest createAutoMLJobRequest, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.

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

Modifier and Type	Method and Description
Future<CreateAutoMLJobResult>	AmazonSageMakerAsyncClient.createAutoMLJobAsync(CreateAutoMLJobRequest request, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler)
Future<CreateAutoMLJobResult>	AbstractAmazonSageMakerAsync.createAutoMLJobAsync(CreateAutoMLJobRequest request, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler)
Future<CreateAutoMLJobResult>	AmazonSageMakerAsync.createAutoMLJobAsync(CreateAutoMLJobRequest createAutoMLJobRequest, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler) Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.

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

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

Modifier and Type	Method and Description
CreateAutoMLJobRequest	CreateAutoMLJobRequest.clone()
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withAutoMLJobConfig(AutoMLJobConfig autoMLJobConfig) A collection of settings used to configure an AutoML job.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withAutoMLJobName(String autoMLJobName) Identifies an Autopilot job.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withAutoMLJobObjective(AutoMLJobObjective autoMLJobObjective) Specifies a metric to minimize or maximize as the objective of a job.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly) Generates possible candidates without training the models.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withInputDataConfig(AutoMLChannel... inputDataConfig) An array of channel objects that describes the input data and its location.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withInputDataConfig(Collection<AutoMLChannel> inputDataConfig) An array of channel objects that describes the input data and its location.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withModelDeployConfig(ModelDeployConfig modelDeployConfig) Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withOutputDataConfig(AutoMLOutputDataConfig outputDataConfig) Provides information about encryption and the Amazon S3 output path needed to store artifacts from an AutoML job.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withProblemType(ProblemType problemType) Defines the type of supervised learning problem available for the candidates.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withProblemType(String problemType) Defines the type of supervised learning problem available for the candidates.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withRoleArn(String roleArn) The ARN of the role that is used to access the data.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withTags(Collection<Tag> tags) An array of key-value pairs.
CreateAutoMLJobRequest	CreateAutoMLJobRequest.withTags(Tag... tags) An array of key-value pairs.