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

Packages that use CreateProjectResult

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

Uses of CreateProjectResult in com.amazonaws.services.sagemaker

Methods in com.amazonaws.services.sagemaker that return CreateProjectResult

Modifier and Type	Method and Description
CreateProjectResult	AbstractAmazonSageMaker.createProject(CreateProjectRequest request)
CreateProjectResult	AmazonSageMakerClient.createProject(CreateProjectRequest request) Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
CreateProjectResult	AmazonSageMaker.createProject(CreateProjectRequest createProjectRequest) Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.

Methods in com.amazonaws.services.sagemaker that return types with arguments of type CreateProjectResult

Modifier and Type	Method and Description
Future<CreateProjectResult>	AbstractAmazonSageMakerAsync.createProjectAsync(CreateProjectRequest request)
Future<CreateProjectResult>	AmazonSageMakerAsync.createProjectAsync(CreateProjectRequest createProjectRequest) Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
Future<CreateProjectResult>	AmazonSageMakerAsyncClient.createProjectAsync(CreateProjectRequest request)
Future<CreateProjectResult>	AbstractAmazonSageMakerAsync.createProjectAsync(CreateProjectRequest request, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler)
Future<CreateProjectResult>	AmazonSageMakerAsync.createProjectAsync(CreateProjectRequest createProjectRequest, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler) Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
Future<CreateProjectResult>	AmazonSageMakerAsyncClient.createProjectAsync(CreateProjectRequest request, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler)

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

Modifier and Type	Method and Description
Future<CreateProjectResult>	AbstractAmazonSageMakerAsync.createProjectAsync(CreateProjectRequest request, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler)
Future<CreateProjectResult>	AmazonSageMakerAsync.createProjectAsync(CreateProjectRequest createProjectRequest, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler) Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
Future<CreateProjectResult>	AmazonSageMakerAsyncClient.createProjectAsync(CreateProjectRequest request, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler)

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

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

Modifier and Type	Method and Description
CreateProjectResult	CreateProjectResult.clone()
CreateProjectResult	CreateProjectResult.withProjectArn(String projectArn) The Amazon Resource Name (ARN) of the project.
CreateProjectResult	CreateProjectResult.withProjectId(String projectId) The ID of the new project.