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

Packages that use CreateProjectRequest

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

Uses of CreateProjectRequest in com.amazonaws.services.sagemaker

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

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.
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 CreateProjectRequest

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 CreateProjectRequest in com.amazonaws.services.sagemaker.model

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

Modifier and Type	Method and Description
CreateProjectRequest	CreateProjectRequest.clone()
CreateProjectRequest	CreateProjectRequest.withProjectDescription(String projectDescription) A description for the project.
CreateProjectRequest	CreateProjectRequest.withProjectName(String projectName) The name of the project.
CreateProjectRequest	CreateProjectRequest.withServiceCatalogProvisioningDetails(ServiceCatalogProvisioningDetails serviceCatalogProvisioningDetails) The product ID and provisioning artifact ID to provision a service catalog.
CreateProjectRequest	CreateProjectRequest.withTags(Collection<Tag> tags) An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs.
CreateProjectRequest	CreateProjectRequest.withTags(Tag... tags) An array of key-value pairs that you want to use to organize and track your Amazon Web Services resource costs.