AmazonSageMakerAsyncClient (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceClient
- - com.amazonaws.services.sagemaker.AmazonSageMakerClient
  - - com.amazonaws.services.sagemaker.AmazonSageMakerAsyncClient

All Implemented Interfaces:

AmazonSageMaker, AmazonSageMakerAsync
```
@ThreadSafe
 @Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class AmazonSageMakerAsyncClient
extends AmazonSageMakerClient
implements AmazonSageMakerAsync
```
Client for accessing SageMaker asynchronously. Each asynchronous method will return a Java Future object representing the asynchronous operation; overloads which accept an AsyncHandler can be used to receive notification when an asynchronous operation completes.
Definition of the public APIs exposed by SageMaker

Field Summary
- Fields inherited from class com.amazonaws.AmazonWebServiceClient
  LOGGING_AWS_REQUEST_METRIC
- Fields inherited from interface com.amazonaws.services.sagemaker.AmazonSageMaker
  ENDPOINT_PREFIX

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Future<AddTagsResult>`	`addTagsAsync(AddTagsRequest request)` Adds or overwrites one or more tags for the specified Amazon SageMaker resource.
`Future<AddTagsResult>`	`addTagsAsync(AddTagsRequest request, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)` Adds or overwrites one or more tags for the specified Amazon SageMaker resource.
`static AmazonSageMakerAsyncClientBuilder`	`asyncBuilder()`
`Future<CreateAlgorithmResult>`	`createAlgorithmAsync(CreateAlgorithmRequest request)` Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
`Future<CreateAlgorithmResult>`	`createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)` Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
`Future<CreateCodeRepositoryResult>`	`createCodeRepositoryAsync(CreateCodeRepositoryRequest request)` Creates a Git repository as a resource in your Amazon SageMaker account.
`Future<CreateCodeRepositoryResult>`	`createCodeRepositoryAsync(CreateCodeRepositoryRequest request, AsyncHandler<CreateCodeRepositoryRequest,CreateCodeRepositoryResult> asyncHandler)` Creates a Git repository as a resource in your Amazon SageMaker account.
`Future<CreateCompilationJobResult>`	`createCompilationJobAsync(CreateCompilationJobRequest request)` Starts a model compilation job.
`Future<CreateCompilationJobResult>`	`createCompilationJobAsync(CreateCompilationJobRequest request, AsyncHandler<CreateCompilationJobRequest,CreateCompilationJobResult> asyncHandler)` Starts a model compilation job.
`Future<CreateEndpointResult>`	`createEndpointAsync(CreateEndpointRequest request)` Creates an endpoint using the endpoint configuration specified in the request.
`Future<CreateEndpointResult>`	`createEndpointAsync(CreateEndpointRequest request, AsyncHandler<CreateEndpointRequest,CreateEndpointResult> asyncHandler)` Creates an endpoint using the endpoint configuration specified in the request.
`Future<CreateEndpointConfigResult>`	`createEndpointConfigAsync(CreateEndpointConfigRequest request)` Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models.
`Future<CreateEndpointConfigResult>`	`createEndpointConfigAsync(CreateEndpointConfigRequest request, AsyncHandler<CreateEndpointConfigRequest,CreateEndpointConfigResult> asyncHandler)` Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models.
`Future<CreateHyperParameterTuningJobResult>`	`createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request)` Starts a hyperparameter tuning job.
`Future<CreateHyperParameterTuningJobResult>`	`createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)` Starts a hyperparameter tuning job.
`Future<CreateLabelingJobResult>`	`createLabelingJobAsync(CreateLabelingJobRequest request)` Creates a job that uses workers to label the data objects in your input dataset.
`Future<CreateLabelingJobResult>`	`createLabelingJobAsync(CreateLabelingJobRequest request, AsyncHandler<CreateLabelingJobRequest,CreateLabelingJobResult> asyncHandler)` Creates a job that uses workers to label the data objects in your input dataset.
`Future<CreateModelResult>`	`createModelAsync(CreateModelRequest request)` Creates a model in Amazon SageMaker.
`Future<CreateModelResult>`	`createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)` Creates a model in Amazon SageMaker.
`Future<CreateModelPackageResult>`	`createModelPackageAsync(CreateModelPackageRequest request)` Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace.
`Future<CreateModelPackageResult>`	`createModelPackageAsync(CreateModelPackageRequest request, AsyncHandler<CreateModelPackageRequest,CreateModelPackageResult> asyncHandler)` Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace.
`Future<CreateNotebookInstanceResult>`	`createNotebookInstanceAsync(CreateNotebookInstanceRequest request)` Creates an Amazon SageMaker notebook instance.
`Future<CreateNotebookInstanceResult>`	`createNotebookInstanceAsync(CreateNotebookInstanceRequest request, AsyncHandler<CreateNotebookInstanceRequest,CreateNotebookInstanceResult> asyncHandler)` Creates an Amazon SageMaker notebook instance.
`Future<CreateNotebookInstanceLifecycleConfigResult>`	`createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request)` Creates a lifecycle configuration that you can associate with a notebook instance.
`Future<CreateNotebookInstanceLifecycleConfigResult>`	`createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request, AsyncHandler<CreateNotebookInstanceLifecycleConfigRequest,CreateNotebookInstanceLifecycleConfigResult> asyncHandler)` Creates a lifecycle configuration that you can associate with a notebook instance.
`Future<CreatePresignedNotebookInstanceUrlResult>`	`createPresignedNotebookInstanceUrlAsync(CreatePresignedNotebookInstanceUrlRequest request)` Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
`Future<CreatePresignedNotebookInstanceUrlResult>`	`createPresignedNotebookInstanceUrlAsync(CreatePresignedNotebookInstanceUrlRequest request, AsyncHandler<CreatePresignedNotebookInstanceUrlRequest,CreatePresignedNotebookInstanceUrlResult> asyncHandler)` Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
`Future<CreateTrainingJobResult>`	`createTrainingJobAsync(CreateTrainingJobRequest request)` Starts a model training job.
`Future<CreateTrainingJobResult>`	`createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)` Starts a model training job.
`Future<CreateTransformJobResult>`	`createTransformJobAsync(CreateTransformJobRequest request)` Starts a transform job.
`Future<CreateTransformJobResult>`	`createTransformJobAsync(CreateTransformJobRequest request, AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler)` Starts a transform job.
`Future<CreateWorkteamResult>`	`createWorkteamAsync(CreateWorkteamRequest request)` Creates a new work team for labeling your data.
`Future<CreateWorkteamResult>`	`createWorkteamAsync(CreateWorkteamRequest request, AsyncHandler<CreateWorkteamRequest,CreateWorkteamResult> asyncHandler)` Creates a new work team for labeling your data.
`Future<DeleteAlgorithmResult>`	`deleteAlgorithmAsync(DeleteAlgorithmRequest request)` Removes the specified algorithm from your account.
`Future<DeleteAlgorithmResult>`	`deleteAlgorithmAsync(DeleteAlgorithmRequest request, AsyncHandler<DeleteAlgorithmRequest,DeleteAlgorithmResult> asyncHandler)` Removes the specified algorithm from your account.
`Future<DeleteCodeRepositoryResult>`	`deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request)` Deletes the specified Git repository from your account.
`Future<DeleteCodeRepositoryResult>`	`deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request, AsyncHandler<DeleteCodeRepositoryRequest,DeleteCodeRepositoryResult> asyncHandler)` Deletes the specified Git repository from your account.
`Future<DeleteEndpointResult>`	`deleteEndpointAsync(DeleteEndpointRequest request)` Deletes an endpoint.
`Future<DeleteEndpointResult>`	`deleteEndpointAsync(DeleteEndpointRequest request, AsyncHandler<DeleteEndpointRequest,DeleteEndpointResult> asyncHandler)` Deletes an endpoint.
`Future<DeleteEndpointConfigResult>`	`deleteEndpointConfigAsync(DeleteEndpointConfigRequest request)` Deletes an endpoint configuration.
`Future<DeleteEndpointConfigResult>`	`deleteEndpointConfigAsync(DeleteEndpointConfigRequest request, AsyncHandler<DeleteEndpointConfigRequest,DeleteEndpointConfigResult> asyncHandler)` Deletes an endpoint configuration.
`Future<DeleteModelResult>`	`deleteModelAsync(DeleteModelRequest request)` Deletes a model.
`Future<DeleteModelResult>`	`deleteModelAsync(DeleteModelRequest request, AsyncHandler<DeleteModelRequest,DeleteModelResult> asyncHandler)` Deletes a model.
`Future<DeleteModelPackageResult>`	`deleteModelPackageAsync(DeleteModelPackageRequest request)` Deletes a model package.
`Future<DeleteModelPackageResult>`	`deleteModelPackageAsync(DeleteModelPackageRequest request, AsyncHandler<DeleteModelPackageRequest,DeleteModelPackageResult> asyncHandler)` Deletes a model package.
`Future<DeleteNotebookInstanceResult>`	`deleteNotebookInstanceAsync(DeleteNotebookInstanceRequest request)` Deletes an Amazon SageMaker notebook instance.
`Future<DeleteNotebookInstanceResult>`	`deleteNotebookInstanceAsync(DeleteNotebookInstanceRequest request, AsyncHandler<DeleteNotebookInstanceRequest,DeleteNotebookInstanceResult> asyncHandler)` Deletes an Amazon SageMaker notebook instance.
`Future<DeleteNotebookInstanceLifecycleConfigResult>`	`deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request)` Deletes a notebook instance lifecycle configuration.
`Future<DeleteNotebookInstanceLifecycleConfigResult>`	`deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request, AsyncHandler<DeleteNotebookInstanceLifecycleConfigRequest,DeleteNotebookInstanceLifecycleConfigResult> asyncHandler)` Deletes a notebook instance lifecycle configuration.
`Future<DeleteTagsResult>`	`deleteTagsAsync(DeleteTagsRequest request)` Deletes the specified tags from an Amazon SageMaker resource.
`Future<DeleteTagsResult>`	`deleteTagsAsync(DeleteTagsRequest request, AsyncHandler<DeleteTagsRequest,DeleteTagsResult> asyncHandler)` Deletes the specified tags from an Amazon SageMaker resource.
`Future<DeleteWorkteamResult>`	`deleteWorkteamAsync(DeleteWorkteamRequest request)` Deletes an existing work team.
`Future<DeleteWorkteamResult>`	`deleteWorkteamAsync(DeleteWorkteamRequest request, AsyncHandler<DeleteWorkteamRequest,DeleteWorkteamResult> asyncHandler)` Deletes an existing work team.
`Future<DescribeAlgorithmResult>`	`describeAlgorithmAsync(DescribeAlgorithmRequest request)` Returns a description of the specified algorithm that is in your account.
`Future<DescribeAlgorithmResult>`	`describeAlgorithmAsync(DescribeAlgorithmRequest request, AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)` Returns a description of the specified algorithm that is in your account.
`Future<DescribeCodeRepositoryResult>`	`describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request)` Gets details about the specified Git repository.
`Future<DescribeCodeRepositoryResult>`	`describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request, AsyncHandler<DescribeCodeRepositoryRequest,DescribeCodeRepositoryResult> asyncHandler)` Gets details about the specified Git repository.
`Future<DescribeCompilationJobResult>`	`describeCompilationJobAsync(DescribeCompilationJobRequest request)` Returns information about a model compilation job.
`Future<DescribeCompilationJobResult>`	`describeCompilationJobAsync(DescribeCompilationJobRequest request, AsyncHandler<DescribeCompilationJobRequest,DescribeCompilationJobResult> asyncHandler)` Returns information about a model compilation job.
`Future<DescribeEndpointResult>`	`describeEndpointAsync(DescribeEndpointRequest request)` Returns the description of an endpoint.
`Future<DescribeEndpointResult>`	`describeEndpointAsync(DescribeEndpointRequest request, AsyncHandler<DescribeEndpointRequest,DescribeEndpointResult> asyncHandler)` Returns the description of an endpoint.
`Future<DescribeEndpointConfigResult>`	`describeEndpointConfigAsync(DescribeEndpointConfigRequest request)` Returns the description of an endpoint configuration created using the `CreateEndpointConfig` API.
`Future<DescribeEndpointConfigResult>`	`describeEndpointConfigAsync(DescribeEndpointConfigRequest request, AsyncHandler<DescribeEndpointConfigRequest,DescribeEndpointConfigResult> asyncHandler)` Returns the description of an endpoint configuration created using the `CreateEndpointConfig` API.
`Future<DescribeHyperParameterTuningJobResult>`	`describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request)` Gets a description of a hyperparameter tuning job.
`Future<DescribeHyperParameterTuningJobResult>`	`describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)` Gets a description of a hyperparameter tuning job.
`Future<DescribeLabelingJobResult>`	`describeLabelingJobAsync(DescribeLabelingJobRequest request)` Gets information about a labeling job.
`Future<DescribeLabelingJobResult>`	`describeLabelingJobAsync(DescribeLabelingJobRequest request, AsyncHandler<DescribeLabelingJobRequest,DescribeLabelingJobResult> asyncHandler)` Gets information about a labeling job.
`Future<DescribeModelResult>`	`describeModelAsync(DescribeModelRequest request)` Describes a model that you created using the `CreateModel` API.
`Future<DescribeModelResult>`	`describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)` Describes a model that you created using the `CreateModel` API.
`Future<DescribeModelPackageResult>`	`describeModelPackageAsync(DescribeModelPackageRequest request)` Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
`Future<DescribeModelPackageResult>`	`describeModelPackageAsync(DescribeModelPackageRequest request, AsyncHandler<DescribeModelPackageRequest,DescribeModelPackageResult> asyncHandler)` Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
`Future<DescribeNotebookInstanceResult>`	`describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request)` Returns information about a notebook instance.
`Future<DescribeNotebookInstanceResult>`	`describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request, AsyncHandler<DescribeNotebookInstanceRequest,DescribeNotebookInstanceResult> asyncHandler)` Returns information about a notebook instance.
`Future<DescribeNotebookInstanceLifecycleConfigResult>`	`describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request)` Returns a description of a notebook instance lifecycle configuration.
`Future<DescribeNotebookInstanceLifecycleConfigResult>`	`describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request, AsyncHandler<DescribeNotebookInstanceLifecycleConfigRequest,DescribeNotebookInstanceLifecycleConfigResult> asyncHandler)` Returns a description of a notebook instance lifecycle configuration.
`Future<DescribeSubscribedWorkteamResult>`	`describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request)` Gets information about a work team provided by a vendor.
`Future<DescribeSubscribedWorkteamResult>`	`describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request, AsyncHandler<DescribeSubscribedWorkteamRequest,DescribeSubscribedWorkteamResult> asyncHandler)` Gets information about a work team provided by a vendor.
`Future<DescribeTrainingJobResult>`	`describeTrainingJobAsync(DescribeTrainingJobRequest request)` Returns information about a training job.
`Future<DescribeTrainingJobResult>`	`describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)` Returns information about a training job.
`Future<DescribeTransformJobResult>`	`describeTransformJobAsync(DescribeTransformJobRequest request)` Returns information about a transform job.
`Future<DescribeTransformJobResult>`	`describeTransformJobAsync(DescribeTransformJobRequest request, AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler)` Returns information about a transform job.
`Future<DescribeWorkteamResult>`	`describeWorkteamAsync(DescribeWorkteamRequest request)` Gets information about a specific work team.
`Future<DescribeWorkteamResult>`	`describeWorkteamAsync(DescribeWorkteamRequest request, AsyncHandler<DescribeWorkteamRequest,DescribeWorkteamResult> asyncHandler)` Gets information about a specific work team.
`ExecutorService`	`getExecutorService()` Returns the executor service used by this client to execute async requests.
`Future<GetSearchSuggestionsResult>`	`getSearchSuggestionsAsync(GetSearchSuggestionsRequest request)` An auto-complete API for the search functionality in the Amazon SageMaker console.
`Future<GetSearchSuggestionsResult>`	`getSearchSuggestionsAsync(GetSearchSuggestionsRequest request, AsyncHandler<GetSearchSuggestionsRequest,GetSearchSuggestionsResult> asyncHandler)` An auto-complete API for the search functionality in the Amazon SageMaker console.
`Future<ListAlgorithmsResult>`	`listAlgorithmsAsync(ListAlgorithmsRequest request)` Lists the machine learning algorithms that have been created.
`Future<ListAlgorithmsResult>`	`listAlgorithmsAsync(ListAlgorithmsRequest request, AsyncHandler<ListAlgorithmsRequest,ListAlgorithmsResult> asyncHandler)` Lists the machine learning algorithms that have been created.
`Future<ListCodeRepositoriesResult>`	`listCodeRepositoriesAsync(ListCodeRepositoriesRequest request)` Gets a list of the Git repositories in your account.
`Future<ListCodeRepositoriesResult>`	`listCodeRepositoriesAsync(ListCodeRepositoriesRequest request, AsyncHandler<ListCodeRepositoriesRequest,ListCodeRepositoriesResult> asyncHandler)` Gets a list of the Git repositories in your account.
`Future<ListCompilationJobsResult>`	`listCompilationJobsAsync(ListCompilationJobsRequest request)` Lists model compilation jobs that satisfy various filters.
`Future<ListCompilationJobsResult>`	`listCompilationJobsAsync(ListCompilationJobsRequest request, AsyncHandler<ListCompilationJobsRequest,ListCompilationJobsResult> asyncHandler)` Lists model compilation jobs that satisfy various filters.
`Future<ListEndpointConfigsResult>`	`listEndpointConfigsAsync(ListEndpointConfigsRequest request)` Lists endpoint configurations.
`Future<ListEndpointConfigsResult>`	`listEndpointConfigsAsync(ListEndpointConfigsRequest request, AsyncHandler<ListEndpointConfigsRequest,ListEndpointConfigsResult> asyncHandler)` Lists endpoint configurations.
`Future<ListEndpointsResult>`	`listEndpointsAsync(ListEndpointsRequest request)` Lists endpoints.
`Future<ListEndpointsResult>`	`listEndpointsAsync(ListEndpointsRequest request, AsyncHandler<ListEndpointsRequest,ListEndpointsResult> asyncHandler)` Lists endpoints.
`Future<ListHyperParameterTuningJobsResult>`	`listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request)` Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
`Future<ListHyperParameterTuningJobsResult>`	`listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request, AsyncHandler<ListHyperParameterTuningJobsRequest,ListHyperParameterTuningJobsResult> asyncHandler)` Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
`Future<ListLabelingJobsResult>`	`listLabelingJobsAsync(ListLabelingJobsRequest request)` Gets a list of labeling jobs.
`Future<ListLabelingJobsResult>`	`listLabelingJobsAsync(ListLabelingJobsRequest request, AsyncHandler<ListLabelingJobsRequest,ListLabelingJobsResult> asyncHandler)` Gets a list of labeling jobs.
`Future<ListLabelingJobsForWorkteamResult>`	`listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request)` Gets a list of labeling jobs assigned to a specified work team.
`Future<ListLabelingJobsForWorkteamResult>`	`listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request, AsyncHandler<ListLabelingJobsForWorkteamRequest,ListLabelingJobsForWorkteamResult> asyncHandler)` Gets a list of labeling jobs assigned to a specified work team.
`Future<ListModelPackagesResult>`	`listModelPackagesAsync(ListModelPackagesRequest request)` Lists the model packages that have been created.
`Future<ListModelPackagesResult>`	`listModelPackagesAsync(ListModelPackagesRequest request, AsyncHandler<ListModelPackagesRequest,ListModelPackagesResult> asyncHandler)` Lists the model packages that have been created.
`Future<ListModelsResult>`	`listModelsAsync(ListModelsRequest request)` Lists models created with the CreateModel API.
`Future<ListModelsResult>`	`listModelsAsync(ListModelsRequest request, AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)` Lists models created with the CreateModel API.
`Future<ListNotebookInstanceLifecycleConfigsResult>`	`listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request)` Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
`Future<ListNotebookInstanceLifecycleConfigsResult>`	`listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request, AsyncHandler<ListNotebookInstanceLifecycleConfigsRequest,ListNotebookInstanceLifecycleConfigsResult> asyncHandler)` Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
`Future<ListNotebookInstancesResult>`	`listNotebookInstancesAsync(ListNotebookInstancesRequest request)` Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
`Future<ListNotebookInstancesResult>`	`listNotebookInstancesAsync(ListNotebookInstancesRequest request, AsyncHandler<ListNotebookInstancesRequest,ListNotebookInstancesResult> asyncHandler)` Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
`Future<ListSubscribedWorkteamsResult>`	`listSubscribedWorkteamsAsync(ListSubscribedWorkteamsRequest request)` Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
`Future<ListSubscribedWorkteamsResult>`	`listSubscribedWorkteamsAsync(ListSubscribedWorkteamsRequest request, AsyncHandler<ListSubscribedWorkteamsRequest,ListSubscribedWorkteamsResult> asyncHandler)` Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
`Future<ListTagsResult>`	`listTagsAsync(ListTagsRequest request)` Returns the tags for the specified Amazon SageMaker resource.
`Future<ListTagsResult>`	`listTagsAsync(ListTagsRequest request, AsyncHandler<ListTagsRequest,ListTagsResult> asyncHandler)` Returns the tags for the specified Amazon SageMaker resource.
`Future<ListTrainingJobsResult>`	`listTrainingJobsAsync(ListTrainingJobsRequest request)` Lists training jobs.
`Future<ListTrainingJobsResult>`	`listTrainingJobsAsync(ListTrainingJobsRequest request, AsyncHandler<ListTrainingJobsRequest,ListTrainingJobsResult> asyncHandler)` Lists training jobs.
`Future<ListTrainingJobsForHyperParameterTuningJobResult>`	`listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request)` Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
`Future<ListTrainingJobsForHyperParameterTuningJobResult>`	`listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request, AsyncHandler<ListTrainingJobsForHyperParameterTuningJobRequest,ListTrainingJobsForHyperParameterTuningJobResult> asyncHandler)` Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
`Future<ListTransformJobsResult>`	`listTransformJobsAsync(ListTransformJobsRequest request)` Lists transform jobs.
`Future<ListTransformJobsResult>`	`listTransformJobsAsync(ListTransformJobsRequest request, AsyncHandler<ListTransformJobsRequest,ListTransformJobsResult> asyncHandler)` Lists transform jobs.
`Future<ListWorkteamsResult>`	`listWorkteamsAsync(ListWorkteamsRequest request)` Gets a list of work teams that you have defined in a region.
`Future<ListWorkteamsResult>`	`listWorkteamsAsync(ListWorkteamsRequest request, AsyncHandler<ListWorkteamsRequest,ListWorkteamsResult> asyncHandler)` Gets a list of work teams that you have defined in a region.
`Future<RenderUiTemplateResult>`	`renderUiTemplateAsync(RenderUiTemplateRequest request)` Renders the UI template so that you can preview the worker's experience.
`Future<RenderUiTemplateResult>`	`renderUiTemplateAsync(RenderUiTemplateRequest request, AsyncHandler<RenderUiTemplateRequest,RenderUiTemplateResult> asyncHandler)` Renders the UI template so that you can preview the worker's experience.
`Future<SearchResult>`	`searchAsync(SearchRequest request)` Finds Amazon SageMaker resources that match a search query.
`Future<SearchResult>`	`searchAsync(SearchRequest request, AsyncHandler<SearchRequest,SearchResult> asyncHandler)` Finds Amazon SageMaker resources that match a search query.
`void`	`shutdown()` Shuts down the client, releasing all managed resources.
`Future<StartNotebookInstanceResult>`	`startNotebookInstanceAsync(StartNotebookInstanceRequest request)` Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
`Future<StartNotebookInstanceResult>`	`startNotebookInstanceAsync(StartNotebookInstanceRequest request, AsyncHandler<StartNotebookInstanceRequest,StartNotebookInstanceResult> asyncHandler)` Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
`Future<StopCompilationJobResult>`	`stopCompilationJobAsync(StopCompilationJobRequest request)` Stops a model compilation job.
`Future<StopCompilationJobResult>`	`stopCompilationJobAsync(StopCompilationJobRequest request, AsyncHandler<StopCompilationJobRequest,StopCompilationJobResult> asyncHandler)` Stops a model compilation job.
`Future<StopHyperParameterTuningJobResult>`	`stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request)` Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
`Future<StopHyperParameterTuningJobResult>`	`stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request, AsyncHandler<StopHyperParameterTuningJobRequest,StopHyperParameterTuningJobResult> asyncHandler)` Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
`Future<StopLabelingJobResult>`	`stopLabelingJobAsync(StopLabelingJobRequest request)` Stops a running labeling job.
`Future<StopLabelingJobResult>`	`stopLabelingJobAsync(StopLabelingJobRequest request, AsyncHandler<StopLabelingJobRequest,StopLabelingJobResult> asyncHandler)` Stops a running labeling job.
`Future<StopNotebookInstanceResult>`	`stopNotebookInstanceAsync(StopNotebookInstanceRequest request)` Terminates the ML compute instance.
`Future<StopNotebookInstanceResult>`	`stopNotebookInstanceAsync(StopNotebookInstanceRequest request, AsyncHandler<StopNotebookInstanceRequest,StopNotebookInstanceResult> asyncHandler)` Terminates the ML compute instance.
`Future<StopTrainingJobResult>`	`stopTrainingJobAsync(StopTrainingJobRequest request)` Stops a training job.
`Future<StopTrainingJobResult>`	`stopTrainingJobAsync(StopTrainingJobRequest request, AsyncHandler<StopTrainingJobRequest,StopTrainingJobResult> asyncHandler)` Stops a training job.
`Future<StopTransformJobResult>`	`stopTransformJobAsync(StopTransformJobRequest request)` Stops a transform job.
`Future<StopTransformJobResult>`	`stopTransformJobAsync(StopTransformJobRequest request, AsyncHandler<StopTransformJobRequest,StopTransformJobResult> asyncHandler)` Stops a transform job.
`Future<UpdateCodeRepositoryResult>`	`updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request)` Updates the specified Git repository with the specified values.
`Future<UpdateCodeRepositoryResult>`	`updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request, AsyncHandler<UpdateCodeRepositoryRequest,UpdateCodeRepositoryResult> asyncHandler)` Updates the specified Git repository with the specified values.
`Future<UpdateEndpointResult>`	`updateEndpointAsync(UpdateEndpointRequest request)` Deploys the new `EndpointConfig` specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous `EndpointConfig` (there is no availability loss).
`Future<UpdateEndpointResult>`	`updateEndpointAsync(UpdateEndpointRequest request, AsyncHandler<UpdateEndpointRequest,UpdateEndpointResult> asyncHandler)` Deploys the new `EndpointConfig` specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous `EndpointConfig` (there is no availability loss).
`Future<UpdateEndpointWeightsAndCapacitiesResult>`	`updateEndpointWeightsAndCapacitiesAsync(UpdateEndpointWeightsAndCapacitiesRequest request)` Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint.
`Future<UpdateEndpointWeightsAndCapacitiesResult>`	`updateEndpointWeightsAndCapacitiesAsync(UpdateEndpointWeightsAndCapacitiesRequest request, AsyncHandler<UpdateEndpointWeightsAndCapacitiesRequest,UpdateEndpointWeightsAndCapacitiesResult> asyncHandler)` Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint.
`Future<UpdateNotebookInstanceResult>`	`updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request)` Updates a notebook instance.
`Future<UpdateNotebookInstanceResult>`	`updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request, AsyncHandler<UpdateNotebookInstanceRequest,UpdateNotebookInstanceResult> asyncHandler)` Updates a notebook instance.
`Future<UpdateNotebookInstanceLifecycleConfigResult>`	`updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request)` Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
`Future<UpdateNotebookInstanceLifecycleConfigResult>`	`updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request, AsyncHandler<UpdateNotebookInstanceLifecycleConfigRequest,UpdateNotebookInstanceLifecycleConfigResult> asyncHandler)` Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
`Future<UpdateWorkteamResult>`	`updateWorkteamAsync(UpdateWorkteamRequest request)` Updates an existing work team with new member definitions or description.
`Future<UpdateWorkteamResult>`	`updateWorkteamAsync(UpdateWorkteamRequest request, AsyncHandler<UpdateWorkteamRequest,UpdateWorkteamResult> asyncHandler)` Updates an existing work team with new member definitions or description.

Methods inherited from class com.amazonaws.services.sagemaker.AmazonSageMakerClient
addTags, builder, createAlgorithm, createCodeRepository, createCompilationJob, createEndpoint, createEndpointConfig, createHyperParameterTuningJob, createLabelingJob, createModel, createModelPackage, createNotebookInstance, createNotebookInstanceLifecycleConfig, createPresignedNotebookInstanceUrl, createTrainingJob, createTransformJob, createWorkteam, deleteAlgorithm, deleteCodeRepository, deleteEndpoint, deleteEndpointConfig, deleteModel, deleteModelPackage, deleteNotebookInstance, deleteNotebookInstanceLifecycleConfig, deleteTags, deleteWorkteam, describeAlgorithm, describeCodeRepository, describeCompilationJob, describeEndpoint, describeEndpointConfig, describeHyperParameterTuningJob, describeLabelingJob, describeModel, describeModelPackage, describeNotebookInstance, describeNotebookInstanceLifecycleConfig, describeSubscribedWorkteam, describeTrainingJob, describeTransformJob, describeWorkteam, getCachedResponseMetadata, getSearchSuggestions, listAlgorithms, listCodeRepositories, listCompilationJobs, listEndpointConfigs, listEndpoints, listHyperParameterTuningJobs, listLabelingJobs, listLabelingJobsForWorkteam, listModelPackages, listModels, listNotebookInstanceLifecycleConfigs, listNotebookInstances, listSubscribedWorkteams, listTags, listTrainingJobs, listTrainingJobsForHyperParameterTuningJob, listTransformJobs, listWorkteams, renderUiTemplate, search, startNotebookInstance, stopCompilationJob, stopHyperParameterTuningJob, stopLabelingJob, stopNotebookInstance, stopTrainingJob, stopTransformJob, updateCodeRepository, updateEndpoint, updateEndpointWeightsAndCapacities, updateNotebookInstance, updateNotebookInstanceLifecycleConfig, updateWorkteam, waiters

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.amazonaws.services.sagemaker.AmazonSageMaker
addTags, createAlgorithm, createCodeRepository, createCompilationJob, createEndpoint, createEndpointConfig, createHyperParameterTuningJob, createLabelingJob, createModel, createModelPackage, createNotebookInstance, createNotebookInstanceLifecycleConfig, createPresignedNotebookInstanceUrl, createTrainingJob, createTransformJob, createWorkteam, deleteAlgorithm, deleteCodeRepository, deleteEndpoint, deleteEndpointConfig, deleteModel, deleteModelPackage, deleteNotebookInstance, deleteNotebookInstanceLifecycleConfig, deleteTags, deleteWorkteam, describeAlgorithm, describeCodeRepository, describeCompilationJob, describeEndpoint, describeEndpointConfig, describeHyperParameterTuningJob, describeLabelingJob, describeModel, describeModelPackage, describeNotebookInstance, describeNotebookInstanceLifecycleConfig, describeSubscribedWorkteam, describeTrainingJob, describeTransformJob, describeWorkteam, getCachedResponseMetadata, getSearchSuggestions, listAlgorithms, listCodeRepositories, listCompilationJobs, listEndpointConfigs, listEndpoints, listHyperParameterTuningJobs, listLabelingJobs, listLabelingJobsForWorkteam, listModelPackages, listModels, listNotebookInstanceLifecycleConfigs, listNotebookInstances, listSubscribedWorkteams, listTags, listTrainingJobs, listTrainingJobsForHyperParameterTuningJob, listTransformJobs, listWorkteams, renderUiTemplate, search, startNotebookInstance, stopCompilationJob, stopHyperParameterTuningJob, stopLabelingJob, stopNotebookInstance, stopTrainingJob, stopTransformJob, updateCodeRepository, updateEndpoint, updateEndpointWeightsAndCapacities, updateNotebookInstance, updateNotebookInstanceLifecycleConfig, updateWorkteam, waiters

- Method Detail
  - asyncBuilder
```
public static AmazonSageMakerAsyncClientBuilder asyncBuilder()
```
  - getExecutorService
```
public ExecutorService getExecutorService()
```
    Returns the executor service used by this client to execute async requests.
    
    Returns:
    
    The executor service used by this client to execute async requests.
  - addTagsAsync
```
public Future<AddTagsResult> addTagsAsync(AddTagsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, models, endpoint configurations, and endpoints.
    
    Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies.
    
    Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
    
    Specified by:
    
    addTagsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the AddTags operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - addTagsAsync
```
public Future<AddTagsResult> addTagsAsync(AddTagsRequest request,
                                          AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, models, endpoint configurations, and endpoints.
    
    Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies.
    
    Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
    
    Specified by:
    
    addTagsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the AddTags operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createAlgorithmAsync
```
public Future<CreateAlgorithmResult> createAlgorithmAsync(CreateAlgorithmRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
    
    Specified by:
    
    createAlgorithmAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateAlgorithm operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createAlgorithmAsync
```
public Future<CreateAlgorithmResult> createAlgorithmAsync(CreateAlgorithmRequest request,
                                                          AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
    
    Specified by:
    
    createAlgorithmAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateAlgorithm operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createCodeRepositoryAsync
```
public Future<CreateCodeRepositoryResult> createCodeRepositoryAsync(CreateCodeRepositoryRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
    
    The repository can be hosted either in AWS CodeCommit or in any other Git repository.
    
    Specified by:
    
    createCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createCodeRepositoryAsync
```
public Future<CreateCodeRepositoryResult> createCodeRepositoryAsync(CreateCodeRepositoryRequest request,
                                                                    AsyncHandler<CreateCodeRepositoryRequest,CreateCodeRepositoryResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.
    
    The repository can be hosted either in AWS CodeCommit or in any other Git repository.
    
    Specified by:
    
    createCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createCompilationJobAsync
```
public Future<CreateCompilationJobResult> createCompilationJobAsync(CreateCompilationJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
    
    If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.
    
    In the request body, you provide the following:
    - A name for the compilation job
    - Information about the input model artifacts
    - The output location for the compiled model and the device (target) that the model runs on
    - The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job
    You can also provide a Tag to track the model compilation job's resource use and costs. The response body contains the CompilationJobArn for the compiled job.
    
    To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
    Specified by:
    
    createCompilationJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateCompilationJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createCompilationJobAsync
```
public Future<CreateCompilationJobResult> createCompilationJobAsync(CreateCompilationJobRequest request,
                                                                    AsyncHandler<CreateCompilationJobRequest,CreateCompilationJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
    
    If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.
    
    In the request body, you provide the following:
    - A name for the compilation job
    - Information about the input model artifacts
    - The output location for the compiled model and the device (target) that the model runs on
    - The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job
    You can also provide a Tag to track the model compilation job's resource use and costs. The response body contains the CompilationJobArn for the compiled job.
    
    To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
    Specified by:
    
    createCompilationJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateCompilationJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createEndpointAsync
```
public Future<CreateEndpointResult> createEndpointAsync(CreateEndpointRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
    
    Use this API only for hosting models using Amazon SageMaker hosting services.
    
    The endpoint name must be unique within an AWS Region in your AWS account.
    
    When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
    
    When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
    
    For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker.
    
    If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
    
    Specified by:
    
    createEndpointAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createEndpointAsync
```
public Future<CreateEndpointResult> createEndpointAsync(CreateEndpointRequest request,
                                                        AsyncHandler<CreateEndpointRequest,CreateEndpointResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
    
    Use this API only for hosting models using Amazon SageMaker hosting services.
    
    The endpoint name must be unique within an AWS Region in your AWS account.
    
    When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
    
    When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
    
    For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker.
    
    If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
    
    Specified by:
    
    createEndpointAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createEndpointConfigAsync
```
public Future<CreateEndpointConfigResult> createEndpointConfigAsync(CreateEndpointConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.
    
    Use this API only if you want to use Amazon SageMaker hosting services to deploy models into production.
    
    In the request, you define one or more ProductionVariants, each of which identifies a model. Each ProductionVariant parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.
    
    If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.
    
    Specified by:
    
    createEndpointConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateEndpointConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createEndpointConfigAsync
```
public Future<CreateEndpointConfigResult> createEndpointConfigAsync(CreateEndpointConfigRequest request,
                                                                    AsyncHandler<CreateEndpointConfigRequest,CreateEndpointConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.
    
    Use this API only if you want to use Amazon SageMaker hosting services to deploy models into production.
    
    In the request, you define one or more ProductionVariants, each of which identifies a model. Each ProductionVariant parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.
    
    If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.
    
    Specified by:
    
    createEndpointConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateEndpointConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createHyperParameterTuningJobAsync
```
public Future<CreateHyperParameterTuningJobResult> createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
    
    Specified by:
    
    createHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createHyperParameterTuningJobAsync
```
public Future<CreateHyperParameterTuningJobResult> createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request,
                                                                                      AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
    
    Specified by:
    
    createHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createLabelingJobAsync
```
public Future<CreateLabelingJobResult> createLabelingJobAsync(CreateLabelingJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
    
    You can select your workforce from one of three providers:
    - A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
    - One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas.
    - The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.
    You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.
    
    The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.
    
    The output can be used as the manifest file for another labeling job or as training data for your machine learning models.
    Specified by:
    
    createLabelingJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateLabelingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createLabelingJobAsync
```
public Future<CreateLabelingJobResult> createLabelingJobAsync(CreateLabelingJobRequest request,
                                                              AsyncHandler<CreateLabelingJobRequest,CreateLabelingJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
    
    You can select your workforce from one of three providers:
    - A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
    - One or more vendors that you select from the AWS Marketplace. Vendors provide expertise in specific areas.
    - The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.
    You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.
    
    The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.
    
    The output can be used as the manifest file for another labeling job or as training data for your machine learning models.
    Specified by:
    
    createLabelingJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateLabelingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createModelAsync
```
public Future<CreateModelResult> createModelAsync(CreateModelRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the docker image containing inference code, artifacts (from prior training), and custom environment map that the inference code uses when you deploy the model for predictions.
    
    Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.
    
    To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.
    
    To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
    
    In the CreateModel request, you must define a container with the PrimaryContainer parameter.
    
    In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role.
    
    Specified by:
    
    createModelAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createModelAsync
```
public Future<CreateModelResult> createModelAsync(CreateModelRequest request,
                                                  AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the docker image containing inference code, artifacts (from prior training), and custom environment map that the inference code uses when you deploy the model for predictions.
    
    Use this API to create a model if you want to use Amazon SageMaker hosting services or run a batch transform job.
    
    To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.
    
    To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
    
    In the CreateModel request, you must define a container with the PrimaryContainer parameter.
    
    In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other AWS resources, you grant necessary permissions via this role.
    
    Specified by:
    
    createModelAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createModelPackageAsync
```
public Future<CreateModelPackageResult> createModelPackageAsync(CreateModelPackageRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
    
    To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for SourceAlgorithmSpecification.
    
    Specified by:
    
    createModelPackageAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateModelPackage operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createModelPackageAsync
```
public Future<CreateModelPackageResult> createModelPackageAsync(CreateModelPackageRequest request,
                                                                AsyncHandler<CreateModelPackageRequest,CreateModelPackageResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
    
    To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for SourceAlgorithmSpecification.
    
    Specified by:
    
    createModelPackageAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateModelPackage operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createNotebookInstanceAsync
```
public Future<CreateNotebookInstanceResult> createNotebookInstanceAsync(CreateNotebookInstanceRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
    
    In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.
    
    Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.
    
    After receiving the request, Amazon SageMaker does the following:
    1. Creates a network interface in the Amazon SageMaker VPC.
    2. (Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.
    3. Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.
    After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN).
    
    After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.
    
    For more information, see How It Works.
    Specified by:
    
    createNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createNotebookInstanceAsync
```
public Future<CreateNotebookInstanceResult> createNotebookInstanceAsync(CreateNotebookInstanceRequest request,
                                                                        AsyncHandler<CreateNotebookInstanceRequest,CreateNotebookInstanceResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.
    
    In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.
    
    Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework.
    
    After receiving the request, Amazon SageMaker does the following:
    1. Creates a network interface in the Amazon SageMaker VPC.
    2. (Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.
    3. Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.
    After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN).
    
    After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.
    
    For more information, see How It Works.
    Specified by:
    
    createNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createNotebookInstanceLifecycleConfigAsync
```
public Future<CreateNotebookInstanceLifecycleConfigResult> createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
    
    Each lifecycle configuration script has a limit of 16384 characters.
    
    The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.
    
    View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].
    
    Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
    
    For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
    
    Specified by:
    
    createNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createNotebookInstanceLifecycleConfigAsync
```
public Future<CreateNotebookInstanceLifecycleConfigResult> createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request,
                                                                                                      AsyncHandler<CreateNotebookInstanceLifecycleConfigRequest,CreateNotebookInstanceLifecycleConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
    
    Each lifecycle configuration script has a limit of 16384 characters.
    
    The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.
    
    View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].
    
    Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
    
    For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
    
    Specified by:
    
    createNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createPresignedNotebookInstanceUrlAsync
```
public Future<CreatePresignedNotebookInstanceUrlResult> createPresignedNotebookInstanceUrlAsync(CreatePresignedNotebookInstanceUrlRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.
    
    You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. To restrict access, attach an IAM policy that denies access to this API unless the call comes from an IP address in the specified list to every AWS Identity and Access Management user, group, or role used to access the notebook instance. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
    
    Specified by:
    
    createPresignedNotebookInstanceUrlAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreatePresignedNotebookInstanceUrl operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createPresignedNotebookInstanceUrlAsync
```
public Future<CreatePresignedNotebookInstanceUrlResult> createPresignedNotebookInstanceUrlAsync(CreatePresignedNotebookInstanceUrlRequest request,
                                                                                                AsyncHandler<CreatePresignedNotebookInstanceUrlRequest,CreatePresignedNotebookInstanceUrlResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.
    
    You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. To restrict access, attach an IAM policy that denies access to this API unless the call comes from an IP address in the specified list to every AWS Identity and Access Management user, group, or role used to access the notebook instance. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
    
    Specified by:
    
    createPresignedNotebookInstanceUrlAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreatePresignedNotebookInstanceUrl operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createTrainingJobAsync
```
public Future<CreateTrainingJobResult> createTrainingJobAsync(CreateTrainingJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
    
    If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a deep learning service other than Amazon SageMaker, provided that you know how to use them for inferences.
    
    In the request body, you provide the following:
    - AlgorithmSpecification - Identifies the training algorithm to use.
    - HyperParameters - Specify these algorithm-specific parameters to influence the quality of the final model. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
    - InputDataConfig - Describes the training dataset and the Amazon S3 location where it is stored.
    - OutputDataConfig - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
    - ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
    - RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.
    - StoppingCondition - Sets a duration for training. Use this parameter to cap model training costs.
    For more information about Amazon SageMaker, see How It Works.
    Specified by:
    
    createTrainingJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateTrainingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createTrainingJobAsync
```
public Future<CreateTrainingJobResult> createTrainingJobAsync(CreateTrainingJobRequest request,
                                                              AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
    
    If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a deep learning service other than Amazon SageMaker, provided that you know how to use them for inferences.
    
    In the request body, you provide the following:
    - AlgorithmSpecification - Identifies the training algorithm to use.
    - HyperParameters - Specify these algorithm-specific parameters to influence the quality of the final model. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
    - InputDataConfig - Describes the training dataset and the Amazon S3 location where it is stored.
    - OutputDataConfig - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results of model training.
    - ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
    - RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.
    - StoppingCondition - Sets a duration for training. Use this parameter to cap model training costs.
    For more information about Amazon SageMaker, see How It Works.
    Specified by:
    
    createTrainingJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateTrainingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createTransformJobAsync
```
public Future<CreateTransformJobResult> createTransformJobAsync(CreateTransformJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
    
    To perform batch transformations, you create a transform job and use the data that you have readily available.
    
    In the request body, you provide the following:
    - TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an AWS account.
    - ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see CreateModel.
    - TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.
    - TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
    - TransformResources - Identifies the ML compute instances for the transform job.
    For more information about how batch transformation works Amazon SageMaker, see How It Works.
    Specified by:
    
    createTransformJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateTransformJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createTransformJobAsync
```
public Future<CreateTransformJobResult> createTransformJobAsync(CreateTransformJobRequest request,
                                                                AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
    
    To perform batch transformations, you create a transform job and use the data that you have readily available.
    
    In the request body, you provide the following:
    - TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an AWS account.
    - ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see CreateModel.
    - TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored.
    - TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
    - TransformResources - Identifies the ML compute instances for the transform job.
    For more information about how batch transformation works Amazon SageMaker, see How It Works.
    Specified by:
    
    createTransformJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateTransformJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createWorkteamAsync
```
public Future<CreateWorkteamResult> createWorkteamAsync(CreateWorkteamRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
    
    You cannot create more than 25 work teams in an account and region.
    
    Specified by:
    
    createWorkteamAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the CreateWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - createWorkteamAsync
```
public Future<CreateWorkteamResult> createWorkteamAsync(CreateWorkteamRequest request,
                                                        AsyncHandler<CreateWorkteamRequest,CreateWorkteamResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
    
    You cannot create more than 25 work teams in an account and region.
    
    Specified by:
    
    createWorkteamAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the CreateWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteAlgorithmAsync
```
public Future<DeleteAlgorithmResult> deleteAlgorithmAsync(DeleteAlgorithmRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Removes the specified algorithm from your account.
    
    Specified by:
    
    deleteAlgorithmAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteAlgorithm operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteAlgorithmAsync
```
public Future<DeleteAlgorithmResult> deleteAlgorithmAsync(DeleteAlgorithmRequest request,
                                                          AsyncHandler<DeleteAlgorithmRequest,DeleteAlgorithmResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Removes the specified algorithm from your account.
    
    Specified by:
    
    deleteAlgorithmAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteAlgorithm operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteCodeRepositoryAsync
```
public Future<DeleteCodeRepositoryResult> deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes the specified Git repository from your account.
    
    Specified by:
    
    deleteCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteCodeRepositoryAsync
```
public Future<DeleteCodeRepositoryResult> deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request,
                                                                    AsyncHandler<DeleteCodeRepositoryRequest,DeleteCodeRepositoryResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes the specified Git repository from your account.
    
    Specified by:
    
    deleteCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteEndpointAsync
```
public Future<DeleteEndpointResult> deleteEndpointAsync(DeleteEndpointRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created.
    
    Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
    
    Specified by:
    
    deleteEndpointAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteEndpointAsync
```
public Future<DeleteEndpointResult> deleteEndpointAsync(DeleteEndpointRequest request,
                                                        AsyncHandler<DeleteEndpointRequest,DeleteEndpointResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created.
    
    Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
    
    Specified by:
    
    deleteEndpointAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteEndpointConfigAsync
```
public Future<DeleteEndpointConfigResult> deleteEndpointConfigAsync(DeleteEndpointConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.
    
    Specified by:
    
    deleteEndpointConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteEndpointConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteEndpointConfigAsync
```
public Future<DeleteEndpointConfigResult> deleteEndpointConfigAsync(DeleteEndpointConfigRequest request,
                                                                    AsyncHandler<DeleteEndpointConfigRequest,DeleteEndpointConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.
    
    Specified by:
    
    deleteEndpointConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteEndpointConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteModelAsync
```
public Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
    
    Specified by:
    
    deleteModelAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteModelAsync
```
public Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest request,
                                                  AsyncHandler<DeleteModelRequest,DeleteModelResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
    
    Specified by:
    
    deleteModelAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteModelPackageAsync
```
public Future<DeleteModelPackageResult> deleteModelPackageAsync(DeleteModelPackageRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes a model package.
    
    A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
    
    Specified by:
    
    deleteModelPackageAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteModelPackage operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteModelPackageAsync
```
public Future<DeleteModelPackageResult> deleteModelPackageAsync(DeleteModelPackageRequest request,
                                                                AsyncHandler<DeleteModelPackageRequest,DeleteModelPackageResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes a model package.
    
    A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
    
    Specified by:
    
    deleteModelPackageAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteModelPackage operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteNotebookInstanceAsync
```
public Future<DeleteNotebookInstanceResult> deleteNotebookInstanceAsync(DeleteNotebookInstanceRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API.
    
    When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
    
    Specified by:
    
    deleteNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteNotebookInstanceAsync
```
public Future<DeleteNotebookInstanceResult> deleteNotebookInstanceAsync(DeleteNotebookInstanceRequest request,
                                                                        AsyncHandler<DeleteNotebookInstanceRequest,DeleteNotebookInstanceResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API.
    
    When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
    
    Specified by:
    
    deleteNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteNotebookInstanceLifecycleConfigAsync
```
public Future<DeleteNotebookInstanceLifecycleConfigResult> deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes a notebook instance lifecycle configuration.
    
    Specified by:
    
    deleteNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteNotebookInstanceLifecycleConfigAsync
```
public Future<DeleteNotebookInstanceLifecycleConfigResult> deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request,
                                                                                                      AsyncHandler<DeleteNotebookInstanceLifecycleConfigRequest,DeleteNotebookInstanceLifecycleConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes a notebook instance lifecycle configuration.
    
    Specified by:
    
    deleteNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteTagsAsync
```
public Future<DeleteTagsResult> deleteTagsAsync(DeleteTagsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes the specified tags from an Amazon SageMaker resource.
    
    To list a resource's tags, use the ListTags API.
    
    When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
    
    Specified by:
    
    deleteTagsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteTags operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteTagsAsync
```
public Future<DeleteTagsResult> deleteTagsAsync(DeleteTagsRequest request,
                                                AsyncHandler<DeleteTagsRequest,DeleteTagsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes the specified tags from an Amazon SageMaker resource.
    
    To list a resource's tags, use the ListTags API.
    
    When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
    
    Specified by:
    
    deleteTagsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteTags operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteWorkteamAsync
```
public Future<DeleteWorkteamResult> deleteWorkteamAsync(DeleteWorkteamRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an existing work team. This operation can't be undone.
    
    Specified by:
    
    deleteWorkteamAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DeleteWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - deleteWorkteamAsync
```
public Future<DeleteWorkteamResult> deleteWorkteamAsync(DeleteWorkteamRequest request,
                                                        AsyncHandler<DeleteWorkteamRequest,DeleteWorkteamResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deletes an existing work team. This operation can't be undone.
    
    Specified by:
    
    deleteWorkteamAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DeleteWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeAlgorithmAsync
```
public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a description of the specified algorithm that is in your account.
    
    Specified by:
    
    describeAlgorithmAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeAlgorithm operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeAlgorithmAsync
```
public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request,
                                                              AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a description of the specified algorithm that is in your account.
    
    Specified by:
    
    describeAlgorithmAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeAlgorithm operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeCodeRepositoryAsync
```
public Future<DescribeCodeRepositoryResult> describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets details about the specified Git repository.
    
    Specified by:
    
    describeCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeCodeRepositoryAsync
```
public Future<DescribeCodeRepositoryResult> describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request,
                                                                        AsyncHandler<DescribeCodeRepositoryRequest,DescribeCodeRepositoryResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets details about the specified Git repository.
    
    Specified by:
    
    describeCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeCompilationJobAsync
```
public Future<DescribeCompilationJobResult> describeCompilationJobAsync(DescribeCompilationJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a model compilation job.
    
    To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
    
    Specified by:
    
    describeCompilationJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeCompilationJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeCompilationJobAsync
```
public Future<DescribeCompilationJobResult> describeCompilationJobAsync(DescribeCompilationJobRequest request,
                                                                        AsyncHandler<DescribeCompilationJobRequest,DescribeCompilationJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a model compilation job.
    
    To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
    
    Specified by:
    
    describeCompilationJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeCompilationJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeEndpointAsync
```
public Future<DescribeEndpointResult> describeEndpointAsync(DescribeEndpointRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns the description of an endpoint.
    
    Specified by:
    
    describeEndpointAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeEndpointAsync
```
public Future<DescribeEndpointResult> describeEndpointAsync(DescribeEndpointRequest request,
                                                            AsyncHandler<DescribeEndpointRequest,DescribeEndpointResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns the description of an endpoint.
    
    Specified by:
    
    describeEndpointAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeEndpointConfigAsync
```
public Future<DescribeEndpointConfigResult> describeEndpointConfigAsync(DescribeEndpointConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
    
    Specified by:
    
    describeEndpointConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeEndpointConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeEndpointConfigAsync
```
public Future<DescribeEndpointConfigResult> describeEndpointConfigAsync(DescribeEndpointConfigRequest request,
                                                                        AsyncHandler<DescribeEndpointConfigRequest,DescribeEndpointConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
    
    Specified by:
    
    describeEndpointConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeEndpointConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeHyperParameterTuningJobAsync
```
public Future<DescribeHyperParameterTuningJobResult> describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a description of a hyperparameter tuning job.
    
    Specified by:
    
    describeHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeHyperParameterTuningJobAsync
```
public Future<DescribeHyperParameterTuningJobResult> describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request,
                                                                                          AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a description of a hyperparameter tuning job.
    
    Specified by:
    
    describeHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeLabelingJobAsync
```
public Future<DescribeLabelingJobResult> describeLabelingJobAsync(DescribeLabelingJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets information about a labeling job.
    
    Specified by:
    
    describeLabelingJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeLabelingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeLabelingJobAsync
```
public Future<DescribeLabelingJobResult> describeLabelingJobAsync(DescribeLabelingJobRequest request,
                                                                  AsyncHandler<DescribeLabelingJobRequest,DescribeLabelingJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets information about a labeling job.
    
    Specified by:
    
    describeLabelingJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeLabelingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeModelAsync
```
public Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Describes a model that you created using the CreateModel API.
    
    Specified by:
    
    describeModelAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeModelAsync
```
public Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request,
                                                      AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Describes a model that you created using the CreateModel API.
    
    Specified by:
    
    describeModelAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeModel operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeModelPackageAsync
```
public Future<DescribeModelPackageResult> describeModelPackageAsync(DescribeModelPackageRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
    
    To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace.
    
    Specified by:
    
    describeModelPackageAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeModelPackage operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeModelPackageAsync
```
public Future<DescribeModelPackageResult> describeModelPackageAsync(DescribeModelPackageRequest request,
                                                                    AsyncHandler<DescribeModelPackageRequest,DescribeModelPackageResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
    
    To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace.
    
    Specified by:
    
    describeModelPackageAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeModelPackage operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeNotebookInstanceAsync
```
public Future<DescribeNotebookInstanceResult> describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a notebook instance.
    
    Specified by:
    
    describeNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeNotebookInstanceAsync
```
public Future<DescribeNotebookInstanceResult> describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request,
                                                                            AsyncHandler<DescribeNotebookInstanceRequest,DescribeNotebookInstanceResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a notebook instance.
    
    Specified by:
    
    describeNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeNotebookInstanceLifecycleConfigAsync
```
public Future<DescribeNotebookInstanceLifecycleConfigResult> describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a description of a notebook instance lifecycle configuration.
    
    For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
    
    Specified by:
    
    describeNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeNotebookInstanceLifecycleConfigAsync
```
public Future<DescribeNotebookInstanceLifecycleConfigResult> describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request,
                                                                                                          AsyncHandler<DescribeNotebookInstanceLifecycleConfigRequest,DescribeNotebookInstanceLifecycleConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a description of a notebook instance lifecycle configuration.
    
    For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
    
    Specified by:
    
    describeNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeSubscribedWorkteamAsync
```
public Future<DescribeSubscribedWorkteamResult> describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
    
    Specified by:
    
    describeSubscribedWorkteamAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeSubscribedWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeSubscribedWorkteamAsync
```
public Future<DescribeSubscribedWorkteamResult> describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request,
                                                                                AsyncHandler<DescribeSubscribedWorkteamRequest,DescribeSubscribedWorkteamResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
    
    Specified by:
    
    describeSubscribedWorkteamAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeSubscribedWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeTrainingJobAsync
```
public Future<DescribeTrainingJobResult> describeTrainingJobAsync(DescribeTrainingJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a training job.
    
    Specified by:
    
    describeTrainingJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeTrainingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeTrainingJobAsync
```
public Future<DescribeTrainingJobResult> describeTrainingJobAsync(DescribeTrainingJobRequest request,
                                                                  AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a training job.
    
    Specified by:
    
    describeTrainingJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeTrainingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeTransformJobAsync
```
public Future<DescribeTransformJobResult> describeTransformJobAsync(DescribeTransformJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a transform job.
    
    Specified by:
    
    describeTransformJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeTransformJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeTransformJobAsync
```
public Future<DescribeTransformJobResult> describeTransformJobAsync(DescribeTransformJobRequest request,
                                                                    AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns information about a transform job.
    
    Specified by:
    
    describeTransformJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeTransformJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeWorkteamAsync
```
public Future<DescribeWorkteamResult> describeWorkteamAsync(DescribeWorkteamRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
    
    Specified by:
    
    describeWorkteamAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the DescribeWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - describeWorkteamAsync
```
public Future<DescribeWorkteamResult> describeWorkteamAsync(DescribeWorkteamRequest request,
                                                            AsyncHandler<DescribeWorkteamRequest,DescribeWorkteamResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
    
    Specified by:
    
    describeWorkteamAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the DescribeWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - getSearchSuggestionsAsync
```
public Future<GetSearchSuggestionsResult> getSearchSuggestionsAsync(GetSearchSuggestionsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics.
    
    Specified by:
    
    getSearchSuggestionsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the GetSearchSuggestions operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - getSearchSuggestionsAsync
```
public Future<GetSearchSuggestionsResult> getSearchSuggestionsAsync(GetSearchSuggestionsRequest request,
                                                                    AsyncHandler<GetSearchSuggestionsRequest,GetSearchSuggestionsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics.
    
    Specified by:
    
    getSearchSuggestionsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the GetSearchSuggestions operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listAlgorithmsAsync
```
public Future<ListAlgorithmsResult> listAlgorithmsAsync(ListAlgorithmsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists the machine learning algorithms that have been created.
    
    Specified by:
    
    listAlgorithmsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListAlgorithms operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listAlgorithmsAsync
```
public Future<ListAlgorithmsResult> listAlgorithmsAsync(ListAlgorithmsRequest request,
                                                        AsyncHandler<ListAlgorithmsRequest,ListAlgorithmsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists the machine learning algorithms that have been created.
    
    Specified by:
    
    listAlgorithmsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListAlgorithms operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listCodeRepositoriesAsync
```
public Future<ListCodeRepositoriesResult> listCodeRepositoriesAsync(ListCodeRepositoriesRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of the Git repositories in your account.
    
    Specified by:
    
    listCodeRepositoriesAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListCodeRepositories operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listCodeRepositoriesAsync
```
public Future<ListCodeRepositoriesResult> listCodeRepositoriesAsync(ListCodeRepositoriesRequest request,
                                                                    AsyncHandler<ListCodeRepositoriesRequest,ListCodeRepositoriesResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of the Git repositories in your account.
    
    Specified by:
    
    listCodeRepositoriesAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListCodeRepositories operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listCompilationJobsAsync
```
public Future<ListCompilationJobsResult> listCompilationJobsAsync(ListCompilationJobsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists model compilation jobs that satisfy various filters.
    
    To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
    
    Specified by:
    
    listCompilationJobsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListCompilationJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listCompilationJobsAsync
```
public Future<ListCompilationJobsResult> listCompilationJobsAsync(ListCompilationJobsRequest request,
                                                                  AsyncHandler<ListCompilationJobsRequest,ListCompilationJobsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists model compilation jobs that satisfy various filters.
    
    To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
    
    Specified by:
    
    listCompilationJobsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListCompilationJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listEndpointConfigsAsync
```
public Future<ListEndpointConfigsResult> listEndpointConfigsAsync(ListEndpointConfigsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists endpoint configurations.
    
    Specified by:
    
    listEndpointConfigsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListEndpointConfigs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listEndpointConfigsAsync
```
public Future<ListEndpointConfigsResult> listEndpointConfigsAsync(ListEndpointConfigsRequest request,
                                                                  AsyncHandler<ListEndpointConfigsRequest,ListEndpointConfigsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists endpoint configurations.
    
    Specified by:
    
    listEndpointConfigsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListEndpointConfigs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listEndpointsAsync
```
public Future<ListEndpointsResult> listEndpointsAsync(ListEndpointsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists endpoints.
    
    Specified by:
    
    listEndpointsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListEndpoints operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listEndpointsAsync
```
public Future<ListEndpointsResult> listEndpointsAsync(ListEndpointsRequest request,
                                                      AsyncHandler<ListEndpointsRequest,ListEndpointsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists endpoints.
    
    Specified by:
    
    listEndpointsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListEndpoints operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listHyperParameterTuningJobsAsync
```
public Future<ListHyperParameterTuningJobsResult> listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
    
    Specified by:
    
    listHyperParameterTuningJobsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListHyperParameterTuningJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listHyperParameterTuningJobsAsync
```
public Future<ListHyperParameterTuningJobsResult> listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request,
                                                                                    AsyncHandler<ListHyperParameterTuningJobsRequest,ListHyperParameterTuningJobsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
    
    Specified by:
    
    listHyperParameterTuningJobsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListHyperParameterTuningJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listLabelingJobsAsync
```
public Future<ListLabelingJobsResult> listLabelingJobsAsync(ListLabelingJobsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of labeling jobs.
    
    Specified by:
    
    listLabelingJobsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListLabelingJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listLabelingJobsAsync
```
public Future<ListLabelingJobsResult> listLabelingJobsAsync(ListLabelingJobsRequest request,
                                                            AsyncHandler<ListLabelingJobsRequest,ListLabelingJobsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of labeling jobs.
    
    Specified by:
    
    listLabelingJobsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListLabelingJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listLabelingJobsForWorkteamAsync
```
public Future<ListLabelingJobsForWorkteamResult> listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of labeling jobs assigned to a specified work team.
    
    Specified by:
    
    listLabelingJobsForWorkteamAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListLabelingJobsForWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listLabelingJobsForWorkteamAsync
```
public Future<ListLabelingJobsForWorkteamResult> listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request,
                                                                                  AsyncHandler<ListLabelingJobsForWorkteamRequest,ListLabelingJobsForWorkteamResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of labeling jobs assigned to a specified work team.
    
    Specified by:
    
    listLabelingJobsForWorkteamAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListLabelingJobsForWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listModelPackagesAsync
```
public Future<ListModelPackagesResult> listModelPackagesAsync(ListModelPackagesRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists the model packages that have been created.
    
    Specified by:
    
    listModelPackagesAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListModelPackages operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listModelPackagesAsync
```
public Future<ListModelPackagesResult> listModelPackagesAsync(ListModelPackagesRequest request,
                                                              AsyncHandler<ListModelPackagesRequest,ListModelPackagesResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists the model packages that have been created.
    
    Specified by:
    
    listModelPackagesAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListModelPackages operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listModelsAsync
```
public Future<ListModelsResult> listModelsAsync(ListModelsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists models created with the CreateModel API.
    
    Specified by:
    
    listModelsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListModels operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listModelsAsync
```
public Future<ListModelsResult> listModelsAsync(ListModelsRequest request,
                                                AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists models created with the CreateModel API.
    
    Specified by:
    
    listModelsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListModels operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listNotebookInstanceLifecycleConfigsAsync
```
public Future<ListNotebookInstanceLifecycleConfigsResult> listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
    
    Specified by:
    
    listNotebookInstanceLifecycleConfigsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListNotebookInstanceLifecycleConfigs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listNotebookInstanceLifecycleConfigsAsync
```
public Future<ListNotebookInstanceLifecycleConfigsResult> listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request,
                                                                                                    AsyncHandler<ListNotebookInstanceLifecycleConfigsRequest,ListNotebookInstanceLifecycleConfigsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
    
    Specified by:
    
    listNotebookInstanceLifecycleConfigsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListNotebookInstanceLifecycleConfigs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listNotebookInstancesAsync
```
public Future<ListNotebookInstancesResult> listNotebookInstancesAsync(ListNotebookInstancesRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
    
    Specified by:
    
    listNotebookInstancesAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListNotebookInstances operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listNotebookInstancesAsync
```
public Future<ListNotebookInstancesResult> listNotebookInstancesAsync(ListNotebookInstancesRequest request,
                                                                      AsyncHandler<ListNotebookInstancesRequest,ListNotebookInstancesResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
    
    Specified by:
    
    listNotebookInstancesAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListNotebookInstances operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listSubscribedWorkteamsAsync
```
public Future<ListSubscribedWorkteamsResult> listSubscribedWorkteamsAsync(ListSubscribedWorkteamsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
    
    Specified by:
    
    listSubscribedWorkteamsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListSubscribedWorkteams operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listSubscribedWorkteamsAsync
```
public Future<ListSubscribedWorkteamsResult> listSubscribedWorkteamsAsync(ListSubscribedWorkteamsRequest request,
                                                                          AsyncHandler<ListSubscribedWorkteamsRequest,ListSubscribedWorkteamsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
    
    Specified by:
    
    listSubscribedWorkteamsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListSubscribedWorkteams operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTagsAsync
```
public Future<ListTagsResult> listTagsAsync(ListTagsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns the tags for the specified Amazon SageMaker resource.
    
    Specified by:
    
    listTagsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListTags operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTagsAsync
```
public Future<ListTagsResult> listTagsAsync(ListTagsRequest request,
                                            AsyncHandler<ListTagsRequest,ListTagsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Returns the tags for the specified Amazon SageMaker resource.
    
    Specified by:
    
    listTagsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListTags operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTrainingJobsAsync
```
public Future<ListTrainingJobsResult> listTrainingJobsAsync(ListTrainingJobsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists training jobs.
    
    Specified by:
    
    listTrainingJobsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListTrainingJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTrainingJobsAsync
```
public Future<ListTrainingJobsResult> listTrainingJobsAsync(ListTrainingJobsRequest request,
                                                            AsyncHandler<ListTrainingJobsRequest,ListTrainingJobsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists training jobs.
    
    Specified by:
    
    listTrainingJobsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListTrainingJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTrainingJobsForHyperParameterTuningJobAsync
```
public Future<ListTrainingJobsForHyperParameterTuningJobResult> listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
    
    Specified by:
    
    listTrainingJobsForHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListTrainingJobsForHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTrainingJobsForHyperParameterTuningJobAsync
```
public Future<ListTrainingJobsForHyperParameterTuningJobResult> listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request,
                                                                                                                AsyncHandler<ListTrainingJobsForHyperParameterTuningJobRequest,ListTrainingJobsForHyperParameterTuningJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
    
    Specified by:
    
    listTrainingJobsForHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListTrainingJobsForHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTransformJobsAsync
```
public Future<ListTransformJobsResult> listTransformJobsAsync(ListTransformJobsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists transform jobs.
    
    Specified by:
    
    listTransformJobsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListTransformJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listTransformJobsAsync
```
public Future<ListTransformJobsResult> listTransformJobsAsync(ListTransformJobsRequest request,
                                                              AsyncHandler<ListTransformJobsRequest,ListTransformJobsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Lists transform jobs.
    
    Specified by:
    
    listTransformJobsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListTransformJobs operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listWorkteamsAsync
```
public Future<ListWorkteamsResult> listWorkteamsAsync(ListWorkteamsRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
    
    Specified by:
    
    listWorkteamsAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the ListWorkteams operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - listWorkteamsAsync
```
public Future<ListWorkteamsResult> listWorkteamsAsync(ListWorkteamsRequest request,
                                                      AsyncHandler<ListWorkteamsRequest,ListWorkteamsResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Gets a list of work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
    
    Specified by:
    
    listWorkteamsAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the ListWorkteams operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - renderUiTemplateAsync
```
public Future<RenderUiTemplateResult> renderUiTemplateAsync(RenderUiTemplateRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Renders the UI template so that you can preview the worker's experience.
    
    Specified by:
    
    renderUiTemplateAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the RenderUiTemplate operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - renderUiTemplateAsync
```
public Future<RenderUiTemplateResult> renderUiTemplateAsync(RenderUiTemplateRequest request,
                                                            AsyncHandler<RenderUiTemplateRequest,RenderUiTemplateResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Renders the UI template so that you can preview the worker's experience.
    
    Specified by:
    
    renderUiTemplateAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the RenderUiTemplate operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - searchAsync
```
public Future<SearchResult> searchAsync(SearchRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of SearchResult objects in the response. You can sort the search results by any resource property in a ascending or descending order.
    
    You can query against the following value types: numerical, text, Booleans, and timestamps.
    
    Specified by:
    
    searchAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the Search operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - searchAsync
```
public Future<SearchResult> searchAsync(SearchRequest request,
                                        AsyncHandler<SearchRequest,SearchResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of SearchResult objects in the response. You can sort the search results by any resource property in a ascending or descending order.
    
    You can query against the following value types: numerical, text, Booleans, and timestamps.
    
    Specified by:
    
    searchAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the Search operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - startNotebookInstanceAsync
```
public Future<StartNotebookInstanceResult> startNotebookInstanceAsync(StartNotebookInstanceRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.
    
    Specified by:
    
    startNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StartNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - startNotebookInstanceAsync
```
public Future<StartNotebookInstanceResult> startNotebookInstanceAsync(StartNotebookInstanceRequest request,
                                                                      AsyncHandler<StartNotebookInstanceRequest,StartNotebookInstanceResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.
    
    Specified by:
    
    startNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StartNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopCompilationJobAsync
```
public Future<StopCompilationJobResult> stopCompilationJobAsync(StopCompilationJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a model compilation job.
    
    To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
    
    When it receives a StopCompilationJob request, Amazon SageMaker changes the CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped.
    
    Specified by:
    
    stopCompilationJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StopCompilationJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopCompilationJobAsync
```
public Future<StopCompilationJobResult> stopCompilationJobAsync(StopCompilationJobRequest request,
                                                                AsyncHandler<StopCompilationJobRequest,StopCompilationJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a model compilation job.
    
    To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
    
    When it receives a StopCompilationJob request, Amazon SageMaker changes the CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped.
    
    Specified by:
    
    stopCompilationJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopCompilationJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopHyperParameterTuningJobAsync
```
public Future<StopHyperParameterTuningJobResult> stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
    
    All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job.
    
    Specified by:
    
    stopHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StopHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopHyperParameterTuningJobAsync
```
public Future<StopHyperParameterTuningJobResult> stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request,
                                                                                  AsyncHandler<StopHyperParameterTuningJobRequest,StopHyperParameterTuningJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
    
    All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning job moves to the Stopped state, it releases all reserved resources for the tuning job.
    
    Specified by:
    
    stopHyperParameterTuningJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopHyperParameterTuningJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopLabelingJobAsync
```
public Future<StopLabelingJobResult> stopLabelingJobAsync(StopLabelingJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
    
    Specified by:
    
    stopLabelingJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StopLabelingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopLabelingJobAsync
```
public Future<StopLabelingJobResult> stopLabelingJobAsync(StopLabelingJobRequest request,
                                                          AsyncHandler<StopLabelingJobRequest,StopLabelingJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
    
    Specified by:
    
    stopLabelingJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopLabelingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopNotebookInstanceAsync
```
public Future<StopNotebookInstanceResult> stopNotebookInstanceAsync(StopNotebookInstanceRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume.
    
    To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
    
    Specified by:
    
    stopNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StopNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopNotebookInstanceAsync
```
public Future<StopNotebookInstanceResult> stopNotebookInstanceAsync(StopNotebookInstanceRequest request,
                                                                    AsyncHandler<StopNotebookInstanceRequest,StopNotebookInstanceResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume.
    
    To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
    
    Specified by:
    
    stopNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopTrainingJobAsync
```
public Future<StopTrainingJobResult> stopTrainingJobAsync(StopTrainingJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost.
    
    Training algorithms provided by Amazon SageMaker save the intermediate results of a model training job. This intermediate data is a valid model artifact. You can use the model artifacts that are saved when Amazon SageMaker stops a training job to create a model.
    
    When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped.
    
    Specified by:
    
    stopTrainingJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StopTrainingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopTrainingJobAsync
```
public Future<StopTrainingJobResult> stopTrainingJobAsync(StopTrainingJobRequest request,
                                                          AsyncHandler<StopTrainingJobRequest,StopTrainingJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost.
    
    Training algorithms provided by Amazon SageMaker save the intermediate results of a model training job. This intermediate data is a valid model artifact. You can use the model artifacts that are saved when Amazon SageMaker stops a training job to create a model.
    
    When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped.
    
    Specified by:
    
    stopTrainingJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopTrainingJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopTransformJobAsync
```
public Future<StopTransformJobResult> stopTransformJobAsync(StopTransformJobRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a transform job.
    
    When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
    
    Specified by:
    
    stopTransformJobAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the StopTransformJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - stopTransformJobAsync
```
public Future<StopTransformJobResult> stopTransformJobAsync(StopTransformJobRequest request,
                                                            AsyncHandler<StopTransformJobRequest,StopTransformJobResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Stops a transform job.
    
    When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you stop a transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
    
    Specified by:
    
    stopTransformJobAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the StopTransformJob operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateCodeRepositoryAsync
```
public Future<UpdateCodeRepositoryResult> updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates the specified Git repository with the specified values.
    
    Specified by:
    
    updateCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the UpdateCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateCodeRepositoryAsync
```
public Future<UpdateCodeRepositoryResult> updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request,
                                                                    AsyncHandler<UpdateCodeRepositoryRequest,UpdateCodeRepositoryResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates the specified Git repository with the specified values.
    
    Specified by:
    
    updateCodeRepositoryAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateCodeRepository operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateEndpointAsync
```
public Future<UpdateEndpointResult> updateEndpointAsync(UpdateEndpointRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is no availability loss).
    
    When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
    
    You cannot update an endpoint with the current EndpointConfig. To update an endpoint, you must create a new EndpointConfig.
    
    Specified by:
    
    updateEndpointAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the UpdateEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateEndpointAsync
```
public Future<UpdateEndpointResult> updateEndpointAsync(UpdateEndpointRequest request,
                                                        AsyncHandler<UpdateEndpointRequest,UpdateEndpointResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is no availability loss).
    
    When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
    
    You cannot update an endpoint with the current EndpointConfig. To update an endpoint, you must create a new EndpointConfig.
    
    Specified by:
    
    updateEndpointAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateEndpoint operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateEndpointWeightsAndCapacitiesAsync
```
public Future<UpdateEndpointWeightsAndCapacitiesResult> updateEndpointWeightsAndCapacitiesAsync(UpdateEndpointWeightsAndCapacitiesRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
    
    Specified by:
    
    updateEndpointWeightsAndCapacitiesAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the UpdateEndpointWeightsAndCapacities operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateEndpointWeightsAndCapacitiesAsync
```
public Future<UpdateEndpointWeightsAndCapacitiesResult> updateEndpointWeightsAndCapacitiesAsync(UpdateEndpointWeightsAndCapacitiesRequest request,
                                                                                                AsyncHandler<UpdateEndpointWeightsAndCapacitiesRequest,UpdateEndpointWeightsAndCapacitiesResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
    
    Specified by:
    
    updateEndpointWeightsAndCapacitiesAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateEndpointWeightsAndCapacities operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateNotebookInstanceAsync
```
public Future<UpdateNotebookInstanceResult> updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements. You can also update the VPC security groups.
    
    Specified by:
    
    updateNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the UpdateNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateNotebookInstanceAsync
```
public Future<UpdateNotebookInstanceResult> updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request,
                                                                        AsyncHandler<UpdateNotebookInstanceRequest,UpdateNotebookInstanceResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements. You can also update the VPC security groups.
    
    Specified by:
    
    updateNotebookInstanceAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateNotebookInstance operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateNotebookInstanceLifecycleConfigAsync
```
public Future<UpdateNotebookInstanceLifecycleConfigResult> updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
    
    Specified by:
    
    updateNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the UpdateNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateNotebookInstanceLifecycleConfigAsync
```
public Future<UpdateNotebookInstanceLifecycleConfigResult> updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request,
                                                                                                      AsyncHandler<UpdateNotebookInstanceLifecycleConfigRequest,UpdateNotebookInstanceLifecycleConfigResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
    
    Specified by:
    
    updateNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateNotebookInstanceLifecycleConfig operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateWorkteamAsync
```
public Future<UpdateWorkteamResult> updateWorkteamAsync(UpdateWorkteamRequest request)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates an existing work team with new member definitions or description.
    
    Specified by:
    
    updateWorkteamAsync in interface AmazonSageMakerAsync
    
    Returns:
    
    A Java Future containing the result of the UpdateWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - updateWorkteamAsync
```
public Future<UpdateWorkteamResult> updateWorkteamAsync(UpdateWorkteamRequest request,
                                                        AsyncHandler<UpdateWorkteamRequest,UpdateWorkteamResult> asyncHandler)
```
    Description copied from interface: AmazonSageMakerAsync
    
    Updates an existing work team with new member definitions or description.
    
    Specified by:
    
    updateWorkteamAsync in interface AmazonSageMakerAsync
    
    asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an implementation of the callback methods in this interface to receive notification of successful or unsuccessful completion of the operation.
    
    Returns:
    
    A Java Future containing the result of the UpdateWorkteam operation returned by the service.
    
    See Also:
    
    AWS API Documentation
  - shutdown
```
public void shutdown()
```
    Shuts down the client, releasing all managed resources. This includes forcibly terminating all pending asynchronous service calls. Clients who wish to give pending asynchronous service calls time to complete should call getExecutorService().shutdown() followed by getExecutorService().awaitTermination() prior to calling this method.
    
    Specified by:
    
    shutdown in interface AmazonSageMaker
    
    Overrides:
    
    shutdown in class AmazonSageMakerClient

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Class AmazonSageMakerAsyncClient

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceClient

Fields inherited from interface com.amazonaws.services.sagemaker.AmazonSageMaker

Method Summary

Methods inherited from class com.amazonaws.services.sagemaker.AmazonSageMakerClient

Methods inherited from class com.amazonaws.AmazonWebServiceClient

Methods inherited from class java.lang.Object

Methods inherited from interface com.amazonaws.services.sagemaker.AmazonSageMaker

Method Detail

asyncBuilder

getExecutorService

addTagsAsync

addTagsAsync

createAlgorithmAsync

createAlgorithmAsync

createCodeRepositoryAsync

createCodeRepositoryAsync

createCompilationJobAsync

createCompilationJobAsync

createEndpointAsync

createEndpointAsync

createEndpointConfigAsync

createEndpointConfigAsync

createHyperParameterTuningJobAsync

createHyperParameterTuningJobAsync

createLabelingJobAsync

createLabelingJobAsync

createModelAsync

createModelAsync

createModelPackageAsync

createModelPackageAsync

createNotebookInstanceAsync

createNotebookInstanceAsync

createNotebookInstanceLifecycleConfigAsync

createNotebookInstanceLifecycleConfigAsync

createPresignedNotebookInstanceUrlAsync

createPresignedNotebookInstanceUrlAsync

createTrainingJobAsync

createTrainingJobAsync

createTransformJobAsync

createTransformJobAsync

createWorkteamAsync

createWorkteamAsync

deleteAlgorithmAsync

deleteAlgorithmAsync

deleteCodeRepositoryAsync

deleteCodeRepositoryAsync

deleteEndpointAsync

deleteEndpointAsync

deleteEndpointConfigAsync

deleteEndpointConfigAsync

deleteModelAsync

deleteModelAsync

deleteModelPackageAsync

deleteModelPackageAsync

deleteNotebookInstanceAsync

deleteNotebookInstanceAsync

deleteNotebookInstanceLifecycleConfigAsync

deleteNotebookInstanceLifecycleConfigAsync

deleteTagsAsync

deleteTagsAsync

deleteWorkteamAsync

deleteWorkteamAsync

describeAlgorithmAsync

describeAlgorithmAsync

describeCodeRepositoryAsync

describeCodeRepositoryAsync

describeCompilationJobAsync

describeCompilationJobAsync

describeEndpointAsync

describeEndpointAsync

describeEndpointConfigAsync

describeEndpointConfigAsync

describeHyperParameterTuningJobAsync

describeHyperParameterTuningJobAsync

describeLabelingJobAsync

describeLabelingJobAsync

describeModelAsync