@Generated(value="software.amazon.awssdk:codegen") public interface SageMakerAsyncClient extends SdkClient
builder()
method.
Definition of the public APIs exposed by SageMakerModifier and Type | Field and Description |
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static String |
SERVICE_NAME |
Modifier and Type | Method and Description |
---|---|
default CompletableFuture<AddTagsResponse> |
addTags(AddTagsRequest addTagsRequest)
Adds or overwrites one or more tags for the specified Amazon SageMaker resource.
|
default CompletableFuture<AddTagsResponse> |
addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
Adds or overwrites one or more tags for the specified Amazon SageMaker resource.
|
static SageMakerAsyncClientBuilder |
builder()
Create a builder that can be used to configure and create a
SageMakerAsyncClient . |
static SageMakerAsyncClient |
create()
Create a
SageMakerAsyncClient with the region loaded from the
DefaultAwsRegionProviderChain and credentials loaded from the
DefaultCredentialsProvider . |
default CompletableFuture<CreateAlgorithmResponse> |
createAlgorithm(Consumer<CreateAlgorithmRequest.Builder> createAlgorithmRequest)
Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
|
default CompletableFuture<CreateAlgorithmResponse> |
createAlgorithm(CreateAlgorithmRequest createAlgorithmRequest)
Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
|
default CompletableFuture<CreateCodeRepositoryResponse> |
createCodeRepository(Consumer<CreateCodeRepositoryRequest.Builder> createCodeRepositoryRequest)
Create a git repository as a resource in your Amazon SageMaker account.
|
default CompletableFuture<CreateCodeRepositoryResponse> |
createCodeRepository(CreateCodeRepositoryRequest createCodeRepositoryRequest)
Create a git repository as a resource in your Amazon SageMaker account.
|
default CompletableFuture<CreateCompilationJobResponse> |
createCompilationJob(Consumer<CreateCompilationJobRequest.Builder> createCompilationJobRequest)
Starts a model compilation job.
|
default CompletableFuture<CreateCompilationJobResponse> |
createCompilationJob(CreateCompilationJobRequest createCompilationJobRequest)
Starts a model compilation job.
|
default CompletableFuture<CreateEndpointResponse> |
createEndpoint(Consumer<CreateEndpointRequest.Builder> createEndpointRequest)
Creates an endpoint using the endpoint configuration specified in the request.
|
default CompletableFuture<CreateEndpointResponse> |
createEndpoint(CreateEndpointRequest createEndpointRequest)
Creates an endpoint using the endpoint configuration specified in the request.
|
default CompletableFuture<CreateEndpointConfigResponse> |
createEndpointConfig(Consumer<CreateEndpointConfigRequest.Builder> createEndpointConfigRequest)
Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models.
|
default CompletableFuture<CreateEndpointConfigResponse> |
createEndpointConfig(CreateEndpointConfigRequest createEndpointConfigRequest)
Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models.
|
default CompletableFuture<CreateHyperParameterTuningJobResponse> |
createHyperParameterTuningJob(Consumer<CreateHyperParameterTuningJobRequest.Builder> createHyperParameterTuningJobRequest)
Starts a hyperparameter tuning job.
|
default CompletableFuture<CreateHyperParameterTuningJobResponse> |
createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest)
Starts a hyperparameter tuning job.
|
default CompletableFuture<CreateLabelingJobResponse> |
createLabelingJob(Consumer<CreateLabelingJobRequest.Builder> createLabelingJobRequest)
Creates a job that uses human workers to label the data objects in your input dataset.
|
default CompletableFuture<CreateLabelingJobResponse> |
createLabelingJob(CreateLabelingJobRequest createLabelingJobRequest)
Creates a job that uses human workers to label the data objects in your input dataset.
|
default CompletableFuture<CreateModelResponse> |
createModel(Consumer<CreateModelRequest.Builder> createModelRequest)
Creates a model in Amazon SageMaker.
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default CompletableFuture<CreateModelResponse> |
createModel(CreateModelRequest createModelRequest)
Creates a model in Amazon SageMaker.
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default CompletableFuture<CreateModelPackageResponse> |
createModelPackage(Consumer<CreateModelPackageRequest.Builder> createModelPackageRequest)
Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace.
|
default CompletableFuture<CreateModelPackageResponse> |
createModelPackage(CreateModelPackageRequest createModelPackageRequest)
Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace.
|
default CompletableFuture<CreateNotebookInstanceResponse> |
createNotebookInstance(Consumer<CreateNotebookInstanceRequest.Builder> createNotebookInstanceRequest)
Creates an Amazon SageMaker notebook instance.
|
default CompletableFuture<CreateNotebookInstanceResponse> |
createNotebookInstance(CreateNotebookInstanceRequest createNotebookInstanceRequest)
Creates an Amazon SageMaker notebook instance.
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default CompletableFuture<CreateNotebookInstanceLifecycleConfigResponse> |
createNotebookInstanceLifecycleConfig(Consumer<CreateNotebookInstanceLifecycleConfigRequest.Builder> createNotebookInstanceLifecycleConfigRequest)
Creates a lifecycle configuration that you can associate with a notebook instance.
|
default CompletableFuture<CreateNotebookInstanceLifecycleConfigResponse> |
createNotebookInstanceLifecycleConfig(CreateNotebookInstanceLifecycleConfigRequest createNotebookInstanceLifecycleConfigRequest)
Creates a lifecycle configuration that you can associate with a notebook instance.
|
default CompletableFuture<CreatePresignedNotebookInstanceUrlResponse> |
createPresignedNotebookInstanceUrl(Consumer<CreatePresignedNotebookInstanceUrlRequest.Builder> createPresignedNotebookInstanceUrlRequest)
Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
|
default CompletableFuture<CreatePresignedNotebookInstanceUrlResponse> |
createPresignedNotebookInstanceUrl(CreatePresignedNotebookInstanceUrlRequest createPresignedNotebookInstanceUrlRequest)
Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
|
default CompletableFuture<CreateTrainingJobResponse> |
createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest)
Starts a model training job.
|
default CompletableFuture<CreateTrainingJobResponse> |
createTrainingJob(CreateTrainingJobRequest createTrainingJobRequest)
Starts a model training job.
|
default CompletableFuture<CreateTransformJobResponse> |
createTransformJob(Consumer<CreateTransformJobRequest.Builder> createTransformJobRequest)
Starts a transform job.
|
default CompletableFuture<CreateTransformJobResponse> |
createTransformJob(CreateTransformJobRequest createTransformJobRequest)
Starts a transform job.
|
default CompletableFuture<CreateWorkteamResponse> |
createWorkteam(Consumer<CreateWorkteamRequest.Builder> createWorkteamRequest)
Creates a new work team for labeling your data.
|
default CompletableFuture<CreateWorkteamResponse> |
createWorkteam(CreateWorkteamRequest createWorkteamRequest)
Creates a new work team for labeling your data.
|
default CompletableFuture<DeleteAlgorithmResponse> |
deleteAlgorithm(Consumer<DeleteAlgorithmRequest.Builder> deleteAlgorithmRequest)
Removes the specified algorithm from your account.
|
default CompletableFuture<DeleteAlgorithmResponse> |
deleteAlgorithm(DeleteAlgorithmRequest deleteAlgorithmRequest)
Removes the specified algorithm from your account.
|
default CompletableFuture<DeleteCodeRepositoryResponse> |
deleteCodeRepository(Consumer<DeleteCodeRepositoryRequest.Builder> deleteCodeRepositoryRequest)
Deletes the specified git repository from your account.
|
default CompletableFuture<DeleteCodeRepositoryResponse> |
deleteCodeRepository(DeleteCodeRepositoryRequest deleteCodeRepositoryRequest)
Deletes the specified git repository from your account.
|
default CompletableFuture<DeleteEndpointResponse> |
deleteEndpoint(Consumer<DeleteEndpointRequest.Builder> deleteEndpointRequest)
Deletes an endpoint.
|
default CompletableFuture<DeleteEndpointResponse> |
deleteEndpoint(DeleteEndpointRequest deleteEndpointRequest)
Deletes an endpoint.
|
default CompletableFuture<DeleteEndpointConfigResponse> |
deleteEndpointConfig(Consumer<DeleteEndpointConfigRequest.Builder> deleteEndpointConfigRequest)
Deletes an endpoint configuration.
|
default CompletableFuture<DeleteEndpointConfigResponse> |
deleteEndpointConfig(DeleteEndpointConfigRequest deleteEndpointConfigRequest)
Deletes an endpoint configuration.
|
default CompletableFuture<DeleteModelResponse> |
deleteModel(Consumer<DeleteModelRequest.Builder> deleteModelRequest)
Deletes a model.
|
default CompletableFuture<DeleteModelResponse> |
deleteModel(DeleteModelRequest deleteModelRequest)
Deletes a model.
|
default CompletableFuture<DeleteModelPackageResponse> |
deleteModelPackage(Consumer<DeleteModelPackageRequest.Builder> deleteModelPackageRequest)
Deletes a model package.
|
default CompletableFuture<DeleteModelPackageResponse> |
deleteModelPackage(DeleteModelPackageRequest deleteModelPackageRequest)
Deletes a model package.
|
default CompletableFuture<DeleteNotebookInstanceResponse> |
deleteNotebookInstance(Consumer<DeleteNotebookInstanceRequest.Builder> deleteNotebookInstanceRequest)
Deletes an Amazon SageMaker notebook instance.
|
default CompletableFuture<DeleteNotebookInstanceResponse> |
deleteNotebookInstance(DeleteNotebookInstanceRequest deleteNotebookInstanceRequest)
Deletes an Amazon SageMaker notebook instance.
|
default CompletableFuture<DeleteNotebookInstanceLifecycleConfigResponse> |
deleteNotebookInstanceLifecycleConfig(Consumer<DeleteNotebookInstanceLifecycleConfigRequest.Builder> deleteNotebookInstanceLifecycleConfigRequest)
Deletes a notebook instance lifecycle configuration.
|
default CompletableFuture<DeleteNotebookInstanceLifecycleConfigResponse> |
deleteNotebookInstanceLifecycleConfig(DeleteNotebookInstanceLifecycleConfigRequest deleteNotebookInstanceLifecycleConfigRequest)
Deletes a notebook instance lifecycle configuration.
|
default CompletableFuture<DeleteTagsResponse> |
deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
Deletes the specified tags from an Amazon SageMaker resource.
|
default CompletableFuture<DeleteTagsResponse> |
deleteTags(DeleteTagsRequest deleteTagsRequest)
Deletes the specified tags from an Amazon SageMaker resource.
|
default CompletableFuture<DeleteWorkteamResponse> |
deleteWorkteam(Consumer<DeleteWorkteamRequest.Builder> deleteWorkteamRequest)
Deletes an existing work team.
|
default CompletableFuture<DeleteWorkteamResponse> |
deleteWorkteam(DeleteWorkteamRequest deleteWorkteamRequest)
Deletes an existing work team.
|
default CompletableFuture<DescribeAlgorithmResponse> |
describeAlgorithm(Consumer<DescribeAlgorithmRequest.Builder> describeAlgorithmRequest)
Returns a description of the specified algorithm that is in your account.
|
default CompletableFuture<DescribeAlgorithmResponse> |
describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)
Returns a description of the specified algorithm that is in your account.
|
default CompletableFuture<DescribeCodeRepositoryResponse> |
describeCodeRepository(Consumer<DescribeCodeRepositoryRequest.Builder> describeCodeRepositoryRequest)
Gets details about the specified git repository.
|
default CompletableFuture<DescribeCodeRepositoryResponse> |
describeCodeRepository(DescribeCodeRepositoryRequest describeCodeRepositoryRequest)
Gets details about the specified git repository.
|
default CompletableFuture<DescribeCompilationJobResponse> |
describeCompilationJob(Consumer<DescribeCompilationJobRequest.Builder> describeCompilationJobRequest)
Returns information about a model compilation job.
|
default CompletableFuture<DescribeCompilationJobResponse> |
describeCompilationJob(DescribeCompilationJobRequest describeCompilationJobRequest)
Returns information about a model compilation job.
|
default CompletableFuture<DescribeEndpointResponse> |
describeEndpoint(Consumer<DescribeEndpointRequest.Builder> describeEndpointRequest)
Returns the description of an endpoint.
|
default CompletableFuture<DescribeEndpointResponse> |
describeEndpoint(DescribeEndpointRequest describeEndpointRequest)
Returns the description of an endpoint.
|
default CompletableFuture<DescribeEndpointConfigResponse> |
describeEndpointConfig(Consumer<DescribeEndpointConfigRequest.Builder> describeEndpointConfigRequest)
Returns the description of an endpoint configuration created using the
CreateEndpointConfig API. |
default CompletableFuture<DescribeEndpointConfigResponse> |
describeEndpointConfig(DescribeEndpointConfigRequest describeEndpointConfigRequest)
Returns the description of an endpoint configuration created using the
CreateEndpointConfig API. |
default CompletableFuture<DescribeHyperParameterTuningJobResponse> |
describeHyperParameterTuningJob(Consumer<DescribeHyperParameterTuningJobRequest.Builder> describeHyperParameterTuningJobRequest)
Gets a description of a hyperparameter tuning job.
|
default CompletableFuture<DescribeHyperParameterTuningJobResponse> |
describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest)
Gets a description of a hyperparameter tuning job.
|
default CompletableFuture<DescribeLabelingJobResponse> |
describeLabelingJob(Consumer<DescribeLabelingJobRequest.Builder> describeLabelingJobRequest)
Gets information about a labeling job.
|
default CompletableFuture<DescribeLabelingJobResponse> |
describeLabelingJob(DescribeLabelingJobRequest describeLabelingJobRequest)
Gets information about a labeling job.
|
default CompletableFuture<DescribeModelResponse> |
describeModel(Consumer<DescribeModelRequest.Builder> describeModelRequest)
Describes a model that you created using the
CreateModel API. |
default CompletableFuture<DescribeModelResponse> |
describeModel(DescribeModelRequest describeModelRequest)
Describes a model that you created using the
CreateModel API. |
default CompletableFuture<DescribeModelPackageResponse> |
describeModelPackage(Consumer<DescribeModelPackageRequest.Builder> describeModelPackageRequest)
Returns a description of the specified model package, which is used to create Amazon SageMaker models or list on
AWS Marketplace.
|
default CompletableFuture<DescribeModelPackageResponse> |
describeModelPackage(DescribeModelPackageRequest describeModelPackageRequest)
Returns a description of the specified model package, which is used to create Amazon SageMaker models or list on
AWS Marketplace.
|
default CompletableFuture<DescribeNotebookInstanceResponse> |
describeNotebookInstance(Consumer<DescribeNotebookInstanceRequest.Builder> describeNotebookInstanceRequest)
Returns information about a notebook instance.
|
default CompletableFuture<DescribeNotebookInstanceResponse> |
describeNotebookInstance(DescribeNotebookInstanceRequest describeNotebookInstanceRequest)
Returns information about a notebook instance.
|
default CompletableFuture<DescribeNotebookInstanceLifecycleConfigResponse> |
describeNotebookInstanceLifecycleConfig(Consumer<DescribeNotebookInstanceLifecycleConfigRequest.Builder> describeNotebookInstanceLifecycleConfigRequest)
Returns a description of a notebook instance lifecycle configuration.
|
default CompletableFuture<DescribeNotebookInstanceLifecycleConfigResponse> |
describeNotebookInstanceLifecycleConfig(DescribeNotebookInstanceLifecycleConfigRequest describeNotebookInstanceLifecycleConfigRequest)
Returns a description of a notebook instance lifecycle configuration.
|
default CompletableFuture<DescribeSubscribedWorkteamResponse> |
describeSubscribedWorkteam(Consumer<DescribeSubscribedWorkteamRequest.Builder> describeSubscribedWorkteamRequest)
Gets information about a work team provided by a vendor.
|
default CompletableFuture<DescribeSubscribedWorkteamResponse> |
describeSubscribedWorkteam(DescribeSubscribedWorkteamRequest describeSubscribedWorkteamRequest)
Gets information about a work team provided by a vendor.
|
default CompletableFuture<DescribeTrainingJobResponse> |
describeTrainingJob(Consumer<DescribeTrainingJobRequest.Builder> describeTrainingJobRequest)
Returns information about a training job.
|
default CompletableFuture<DescribeTrainingJobResponse> |
describeTrainingJob(DescribeTrainingJobRequest describeTrainingJobRequest)
Returns information about a training job.
|
default CompletableFuture<DescribeTransformJobResponse> |
describeTransformJob(Consumer<DescribeTransformJobRequest.Builder> describeTransformJobRequest)
Returns information about a transform job.
|
default CompletableFuture<DescribeTransformJobResponse> |
describeTransformJob(DescribeTransformJobRequest describeTransformJobRequest)
Returns information about a transform job.
|
default CompletableFuture<DescribeWorkteamResponse> |
describeWorkteam(Consumer<DescribeWorkteamRequest.Builder> describeWorkteamRequest)
Gets information about a specific work team.
|
default CompletableFuture<DescribeWorkteamResponse> |
describeWorkteam(DescribeWorkteamRequest describeWorkteamRequest)
Gets information about a specific work team.
|
default CompletableFuture<GetSearchSuggestionsResponse> |
getSearchSuggestions(Consumer<GetSearchSuggestionsRequest.Builder> getSearchSuggestionsRequest)
Returns suggestions for the property name to use in
Search queries. |
default CompletableFuture<GetSearchSuggestionsResponse> |
getSearchSuggestions(GetSearchSuggestionsRequest getSearchSuggestionsRequest)
Returns suggestions for the property name to use in
Search queries. |
default CompletableFuture<ListAlgorithmsResponse> |
listAlgorithms()
Lists the machine learning algorithms that have been created.
|
default CompletableFuture<ListAlgorithmsResponse> |
listAlgorithms(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
|
default CompletableFuture<ListAlgorithmsResponse> |
listAlgorithms(ListAlgorithmsRequest listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
|
default CompletableFuture<ListCodeRepositoriesResponse> |
listCodeRepositories()
Gets a list of the git repositories in your account.
|
default CompletableFuture<ListCodeRepositoriesResponse> |
listCodeRepositories(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)
Gets a list of the git repositories in your account.
|
default CompletableFuture<ListCodeRepositoriesResponse> |
listCodeRepositories(ListCodeRepositoriesRequest listCodeRepositoriesRequest)
Gets a list of the git repositories in your account.
|
default CompletableFuture<ListCompilationJobsResponse> |
listCompilationJobs()
Lists model compilation jobs that satisfy various filters.
|
default CompletableFuture<ListCompilationJobsResponse> |
listCompilationJobs(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
|
default CompletableFuture<ListCompilationJobsResponse> |
listCompilationJobs(ListCompilationJobsRequest listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
|
default ListCompilationJobsPublisher |
listCompilationJobsPaginator()
Lists model compilation jobs that satisfy various filters.
|
default ListCompilationJobsPublisher |
listCompilationJobsPaginator(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
|
default ListCompilationJobsPublisher |
listCompilationJobsPaginator(ListCompilationJobsRequest listCompilationJobsRequest)
Lists model compilation jobs that satisfy various filters.
|
default CompletableFuture<ListEndpointConfigsResponse> |
listEndpointConfigs()
Lists endpoint configurations.
|
default CompletableFuture<ListEndpointConfigsResponse> |
listEndpointConfigs(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
Lists endpoint configurations.
|
default CompletableFuture<ListEndpointConfigsResponse> |
listEndpointConfigs(ListEndpointConfigsRequest listEndpointConfigsRequest)
Lists endpoint configurations.
|
default ListEndpointConfigsPublisher |
listEndpointConfigsPaginator()
Lists endpoint configurations.
|
default ListEndpointConfigsPublisher |
listEndpointConfigsPaginator(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
Lists endpoint configurations.
|
default ListEndpointConfigsPublisher |
listEndpointConfigsPaginator(ListEndpointConfigsRequest listEndpointConfigsRequest)
Lists endpoint configurations.
|
default CompletableFuture<ListEndpointsResponse> |
listEndpoints()
Lists endpoints.
|
default CompletableFuture<ListEndpointsResponse> |
listEndpoints(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
Lists endpoints.
|
default CompletableFuture<ListEndpointsResponse> |
listEndpoints(ListEndpointsRequest listEndpointsRequest)
Lists endpoints.
|
default ListEndpointsPublisher |
listEndpointsPaginator()
Lists endpoints.
|
default ListEndpointsPublisher |
listEndpointsPaginator(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
Lists endpoints.
|
default ListEndpointsPublisher |
listEndpointsPaginator(ListEndpointsRequest listEndpointsRequest)
Lists endpoints.
|
default CompletableFuture<ListHyperParameterTuningJobsResponse> |
listHyperParameterTuningJobs()
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs
launched in your account.
|
default CompletableFuture<ListHyperParameterTuningJobsResponse> |
listHyperParameterTuningJobs(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs
launched in your account.
|
default CompletableFuture<ListHyperParameterTuningJobsResponse> |
listHyperParameterTuningJobs(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs
launched in your account.
|
default ListHyperParameterTuningJobsPublisher |
listHyperParameterTuningJobsPaginator()
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs
launched in your account.
|
default ListHyperParameterTuningJobsPublisher |
listHyperParameterTuningJobsPaginator(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs
launched in your account.
|
default ListHyperParameterTuningJobsPublisher |
listHyperParameterTuningJobsPaginator(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs
launched in your account.
|
default CompletableFuture<ListLabelingJobsResponse> |
listLabelingJobs()
Gets a list of labeling jobs.
|
default CompletableFuture<ListLabelingJobsResponse> |
listLabelingJobs(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
Gets a list of labeling jobs.
|
default CompletableFuture<ListLabelingJobsResponse> |
listLabelingJobs(ListLabelingJobsRequest listLabelingJobsRequest)
Gets a list of labeling jobs.
|
default CompletableFuture<ListLabelingJobsForWorkteamResponse> |
listLabelingJobsForWorkteam(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
|
default CompletableFuture<ListLabelingJobsForWorkteamResponse> |
listLabelingJobsForWorkteam(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
|
default ListLabelingJobsForWorkteamPublisher |
listLabelingJobsForWorkteamPaginator(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
|
default ListLabelingJobsForWorkteamPublisher |
listLabelingJobsForWorkteamPaginator(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
|
default ListLabelingJobsPublisher |
listLabelingJobsPaginator()
Gets a list of labeling jobs.
|
default ListLabelingJobsPublisher |
listLabelingJobsPaginator(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
Gets a list of labeling jobs.
|
default ListLabelingJobsPublisher |
listLabelingJobsPaginator(ListLabelingJobsRequest listLabelingJobsRequest)
Gets a list of labeling jobs.
|
default CompletableFuture<ListModelPackagesResponse> |
listModelPackages()
Lists the model packages that have been created.
|
default CompletableFuture<ListModelPackagesResponse> |
listModelPackages(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)
Lists the model packages that have been created.
|
default CompletableFuture<ListModelPackagesResponse> |
listModelPackages(ListModelPackagesRequest listModelPackagesRequest)
Lists the model packages that have been created.
|
default CompletableFuture<ListModelsResponse> |
listModels()
Lists models created with the CreateModel API.
|
default CompletableFuture<ListModelsResponse> |
listModels(Consumer<ListModelsRequest.Builder> listModelsRequest)
Lists models created with the CreateModel API.
|
default CompletableFuture<ListModelsResponse> |
listModels(ListModelsRequest listModelsRequest)
Lists models created with the CreateModel API.
|
default ListModelsPublisher |
listModelsPaginator()
Lists models created with the CreateModel API.
|
default ListModelsPublisher |
listModelsPaginator(Consumer<ListModelsRequest.Builder> listModelsRequest)
Lists models created with the CreateModel API.
|
default ListModelsPublisher |
listModelsPaginator(ListModelsRequest listModelsRequest)
Lists models created with the CreateModel API.
|
default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> |
listNotebookInstanceLifecycleConfigs()
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig
API.
|
default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> |
listNotebookInstanceLifecycleConfigs(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig
API.
|
default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> |
listNotebookInstanceLifecycleConfigs(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig
API.
|
default ListNotebookInstanceLifecycleConfigsPublisher |
listNotebookInstanceLifecycleConfigsPaginator()
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig
API.
|
default ListNotebookInstanceLifecycleConfigsPublisher |
listNotebookInstanceLifecycleConfigsPaginator(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig
API.
|
default ListNotebookInstanceLifecycleConfigsPublisher |
listNotebookInstanceLifecycleConfigsPaginator(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig
API.
|
default CompletableFuture<ListNotebookInstancesResponse> |
listNotebookInstances()
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
|
default CompletableFuture<ListNotebookInstancesResponse> |
listNotebookInstances(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
|
default CompletableFuture<ListNotebookInstancesResponse> |
listNotebookInstances(ListNotebookInstancesRequest listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
|
default ListNotebookInstancesPublisher |
listNotebookInstancesPaginator()
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
|
default ListNotebookInstancesPublisher |
listNotebookInstancesPaginator(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
|
default ListNotebookInstancesPublisher |
listNotebookInstancesPaginator(ListNotebookInstancesRequest listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
|
default CompletableFuture<ListSubscribedWorkteamsResponse> |
listSubscribedWorkteams()
Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
|
default CompletableFuture<ListSubscribedWorkteamsResponse> |
listSubscribedWorkteams(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
|
default CompletableFuture<ListSubscribedWorkteamsResponse> |
listSubscribedWorkteams(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
|
default ListSubscribedWorkteamsPublisher |
listSubscribedWorkteamsPaginator()
Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
|
default ListSubscribedWorkteamsPublisher |
listSubscribedWorkteamsPaginator(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
|
default ListSubscribedWorkteamsPublisher |
listSubscribedWorkteamsPaginator(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
|
default CompletableFuture<ListTagsResponse> |
listTags(Consumer<ListTagsRequest.Builder> listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
|
default CompletableFuture<ListTagsResponse> |
listTags(ListTagsRequest listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
|
default ListTagsPublisher |
listTagsPaginator(Consumer<ListTagsRequest.Builder> listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
|
default ListTagsPublisher |
listTagsPaginator(ListTagsRequest listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
|
default CompletableFuture<ListTrainingJobsResponse> |
listTrainingJobs()
Lists training jobs.
|
default CompletableFuture<ListTrainingJobsResponse> |
listTrainingJobs(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
Lists training jobs.
|
default CompletableFuture<ListTrainingJobsResponse> |
listTrainingJobs(ListTrainingJobsRequest listTrainingJobsRequest)
Lists training jobs.
|
default CompletableFuture<ListTrainingJobsForHyperParameterTuningJobResponse> |
listTrainingJobsForHyperParameterTuningJob(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job
launched.
|
default CompletableFuture<ListTrainingJobsForHyperParameterTuningJobResponse> |
listTrainingJobsForHyperParameterTuningJob(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job
launched.
|
default ListTrainingJobsForHyperParameterTuningJobPublisher |
listTrainingJobsForHyperParameterTuningJobPaginator(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job
launched.
|
default ListTrainingJobsForHyperParameterTuningJobPublisher |
listTrainingJobsForHyperParameterTuningJobPaginator(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job
launched.
|
default ListTrainingJobsPublisher |
listTrainingJobsPaginator()
Lists training jobs.
|
default ListTrainingJobsPublisher |
listTrainingJobsPaginator(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
Lists training jobs.
|
default ListTrainingJobsPublisher |
listTrainingJobsPaginator(ListTrainingJobsRequest listTrainingJobsRequest)
Lists training jobs.
|
default CompletableFuture<ListTransformJobsResponse> |
listTransformJobs()
Lists transform jobs.
|
default CompletableFuture<ListTransformJobsResponse> |
listTransformJobs(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
Lists transform jobs.
|
default CompletableFuture<ListTransformJobsResponse> |
listTransformJobs(ListTransformJobsRequest listTransformJobsRequest)
Lists transform jobs.
|
default ListTransformJobsPublisher |
listTransformJobsPaginator()
Lists transform jobs.
|
default ListTransformJobsPublisher |
listTransformJobsPaginator(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
Lists transform jobs.
|
default ListTransformJobsPublisher |
listTransformJobsPaginator(ListTransformJobsRequest listTransformJobsRequest)
Lists transform jobs.
|
default CompletableFuture<ListWorkteamsResponse> |
listWorkteams()
Gets a list of work teams that you have defined in a region.
|
default CompletableFuture<ListWorkteamsResponse> |
listWorkteams(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
Gets a list of work teams that you have defined in a region.
|
default CompletableFuture<ListWorkteamsResponse> |
listWorkteams(ListWorkteamsRequest listWorkteamsRequest)
Gets a list of work teams that you have defined in a region.
|
default ListWorkteamsPublisher |
listWorkteamsPaginator()
Gets a list of work teams that you have defined in a region.
|
default ListWorkteamsPublisher |
listWorkteamsPaginator(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
Gets a list of work teams that you have defined in a region.
|
default ListWorkteamsPublisher |
listWorkteamsPaginator(ListWorkteamsRequest listWorkteamsRequest)
Gets a list of work teams that you have defined in a region.
|
default CompletableFuture<RenderUiTemplateResponse> |
renderUiTemplate(Consumer<RenderUiTemplateRequest.Builder> renderUiTemplateRequest)
Renders the UI template so that you can preview the worker's experience.
|
default CompletableFuture<RenderUiTemplateResponse> |
renderUiTemplate(RenderUiTemplateRequest renderUiTemplateRequest)
Renders the UI template so that you can preview the worker's experience.
|
default CompletableFuture<SearchResponse> |
search(Consumer<SearchRequest.Builder> searchRequest)
Finds Amazon SageMaker resources that match a search query.
|
default CompletableFuture<SearchResponse> |
search(SearchRequest searchRequest)
Finds Amazon SageMaker resources that match a search query.
|
default SearchPublisher |
searchPaginator(Consumer<SearchRequest.Builder> searchRequest)
Finds Amazon SageMaker resources that match a search query.
|
default SearchPublisher |
searchPaginator(SearchRequest searchRequest)
Finds Amazon SageMaker resources that match a search query.
|
default CompletableFuture<StartNotebookInstanceResponse> |
startNotebookInstance(Consumer<StartNotebookInstanceRequest.Builder> startNotebookInstanceRequest)
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
|
default CompletableFuture<StartNotebookInstanceResponse> |
startNotebookInstance(StartNotebookInstanceRequest startNotebookInstanceRequest)
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
|
default CompletableFuture<StopCompilationJobResponse> |
stopCompilationJob(Consumer<StopCompilationJobRequest.Builder> stopCompilationJobRequest)
Stops a model compilation job.
|
default CompletableFuture<StopCompilationJobResponse> |
stopCompilationJob(StopCompilationJobRequest stopCompilationJobRequest)
Stops a model compilation job.
|
default CompletableFuture<StopHyperParameterTuningJobResponse> |
stopHyperParameterTuningJob(Consumer<StopHyperParameterTuningJobRequest.Builder> stopHyperParameterTuningJobRequest)
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
|
default CompletableFuture<StopHyperParameterTuningJobResponse> |
stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest stopHyperParameterTuningJobRequest)
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
|
default CompletableFuture<StopLabelingJobResponse> |
stopLabelingJob(Consumer<StopLabelingJobRequest.Builder> stopLabelingJobRequest)
Stops a running labeling job.
|
default CompletableFuture<StopLabelingJobResponse> |
stopLabelingJob(StopLabelingJobRequest stopLabelingJobRequest)
Stops a running labeling job.
|
default CompletableFuture<StopNotebookInstanceResponse> |
stopNotebookInstance(Consumer<StopNotebookInstanceRequest.Builder> stopNotebookInstanceRequest)
Terminates the ML compute instance.
|
default CompletableFuture<StopNotebookInstanceResponse> |
stopNotebookInstance(StopNotebookInstanceRequest stopNotebookInstanceRequest)
Terminates the ML compute instance.
|
default CompletableFuture<StopTrainingJobResponse> |
stopTrainingJob(Consumer<StopTrainingJobRequest.Builder> stopTrainingJobRequest)
Stops a training job.
|
default CompletableFuture<StopTrainingJobResponse> |
stopTrainingJob(StopTrainingJobRequest stopTrainingJobRequest)
Stops a training job.
|
default CompletableFuture<StopTransformJobResponse> |
stopTransformJob(Consumer<StopTransformJobRequest.Builder> stopTransformJobRequest)
Stops a transform job.
|
default CompletableFuture<StopTransformJobResponse> |
stopTransformJob(StopTransformJobRequest stopTransformJobRequest)
Stops a transform job.
|
default CompletableFuture<UpdateCodeRepositoryResponse> |
updateCodeRepository(Consumer<UpdateCodeRepositoryRequest.Builder> updateCodeRepositoryRequest)
Updates the specified git repository with the specified values.
|
default CompletableFuture<UpdateCodeRepositoryResponse> |
updateCodeRepository(UpdateCodeRepositoryRequest updateCodeRepositoryRequest)
Updates the specified git repository with the specified values.
|
default CompletableFuture<UpdateEndpointResponse> |
updateEndpoint(Consumer<UpdateEndpointRequest.Builder> updateEndpointRequest)
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). |
default CompletableFuture<UpdateEndpointResponse> |
updateEndpoint(UpdateEndpointRequest updateEndpointRequest)
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). |
default CompletableFuture<UpdateEndpointWeightsAndCapacitiesResponse> |
updateEndpointWeightsAndCapacities(Consumer<UpdateEndpointWeightsAndCapacitiesRequest.Builder> updateEndpointWeightsAndCapacitiesRequest)
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant
associated with an existing endpoint.
|
default CompletableFuture<UpdateEndpointWeightsAndCapacitiesResponse> |
updateEndpointWeightsAndCapacities(UpdateEndpointWeightsAndCapacitiesRequest updateEndpointWeightsAndCapacitiesRequest)
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant
associated with an existing endpoint.
|
default CompletableFuture<UpdateNotebookInstanceResponse> |
updateNotebookInstance(Consumer<UpdateNotebookInstanceRequest.Builder> updateNotebookInstanceRequest)
Updates a notebook instance.
|
default CompletableFuture<UpdateNotebookInstanceResponse> |
updateNotebookInstance(UpdateNotebookInstanceRequest updateNotebookInstanceRequest)
Updates a notebook instance.
|
default CompletableFuture<UpdateNotebookInstanceLifecycleConfigResponse> |
updateNotebookInstanceLifecycleConfig(Consumer<UpdateNotebookInstanceLifecycleConfigRequest.Builder> updateNotebookInstanceLifecycleConfigRequest)
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig
API.
|
default CompletableFuture<UpdateNotebookInstanceLifecycleConfigResponse> |
updateNotebookInstanceLifecycleConfig(UpdateNotebookInstanceLifecycleConfigRequest updateNotebookInstanceLifecycleConfigRequest)
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig
API.
|
default CompletableFuture<UpdateWorkteamResponse> |
updateWorkteam(Consumer<UpdateWorkteamRequest.Builder> updateWorkteamRequest)
Updates an existing work team with new member definitions or description.
|
default CompletableFuture<UpdateWorkteamResponse> |
updateWorkteam(UpdateWorkteamRequest updateWorkteamRequest)
Updates an existing work team with new member definitions or description.
|
serviceName
close
static final String SERVICE_NAME
static SageMakerAsyncClient create()
SageMakerAsyncClient
with the region loaded from the
DefaultAwsRegionProviderChain
and credentials loaded from the
DefaultCredentialsProvider
.static SageMakerAsyncClientBuilder builder()
SageMakerAsyncClient
.default CompletableFuture<AddTagsResponse> addTags(AddTagsRequest addTagsRequest)
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
addTagsRequest
- default CompletableFuture<AddTagsResponse> addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
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
This is a convenience which creates an instance of the AddTagsRequest.Builder
avoiding the need to create
one manually via AddTagsRequest.builder()
addTagsRequest
- A Consumer
that will call methods on AddTagsInput.Builder
to create a request.default CompletableFuture<CreateAlgorithmResponse> createAlgorithm(CreateAlgorithmRequest createAlgorithmRequest)
Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
createAlgorithmRequest
- default CompletableFuture<CreateAlgorithmResponse> createAlgorithm(Consumer<CreateAlgorithmRequest.Builder> createAlgorithmRequest)
Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
This is a convenience which creates an instance of the CreateAlgorithmRequest.Builder
avoiding the need
to create one manually via CreateAlgorithmRequest.builder()
createAlgorithmRequest
- A Consumer
that will call methods on CreateAlgorithmInput.Builder
to create a request.default CompletableFuture<CreateCodeRepositoryResponse> createCodeRepository(CreateCodeRepositoryRequest createCodeRepositoryRequest)
Create 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.
createCodeRepositoryRequest
- default CompletableFuture<CreateCodeRepositoryResponse> createCodeRepository(Consumer<CreateCodeRepositoryRequest.Builder> createCodeRepositoryRequest)
Create 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.
This is a convenience which creates an instance of the CreateCodeRepositoryRequest.Builder
avoiding the
need to create one manually via CreateCodeRepositoryRequest.builder()
createCodeRepositoryRequest
- A Consumer
that will call methods on CreateCodeRepositoryInput.Builder
to create a
request.default CompletableFuture<CreateCompilationJobResponse> createCompilationJob(CreateCompilationJobRequest createCompilationJobRequest)
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.
createCompilationJobRequest
- default CompletableFuture<CreateCompilationJobResponse> createCompilationJob(Consumer<CreateCompilationJobRequest.Builder> createCompilationJobRequest)
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.
This is a convenience which creates an instance of the CreateCompilationJobRequest.Builder
avoiding the
need to create one manually via CreateCompilationJobRequest.builder()
createCompilationJobRequest
- A Consumer
that will call methods on CreateCompilationJobRequest.Builder
to create a
request.default CompletableFuture<CreateEndpointResponse> createEndpoint(CreateEndpointRequest createEndpointRequest)
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.
createEndpointRequest
- default CompletableFuture<CreateEndpointResponse> createEndpoint(Consumer<CreateEndpointRequest.Builder> createEndpointRequest)
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.
This is a convenience which creates an instance of the CreateEndpointRequest.Builder
avoiding the need to
create one manually via CreateEndpointRequest.builder()
createEndpointRequest
- A Consumer
that will call methods on CreateEndpointInput.Builder
to create a request.default CompletableFuture<CreateEndpointConfigResponse> createEndpointConfig(CreateEndpointConfigRequest createEndpointConfigRequest)
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 ProductionVariant
s, 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.
createEndpointConfigRequest
- default CompletableFuture<CreateEndpointConfigResponse> createEndpointConfig(Consumer<CreateEndpointConfigRequest.Builder> createEndpointConfigRequest)
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 ProductionVariant
s, 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.
This is a convenience which creates an instance of the CreateEndpointConfigRequest.Builder
avoiding the
need to create one manually via CreateEndpointConfigRequest.builder()
createEndpointConfigRequest
- A Consumer
that will call methods on CreateEndpointConfigInput.Builder
to create a
request.default CompletableFuture<CreateHyperParameterTuningJobResponse> createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest)
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.
createHyperParameterTuningJobRequest
- default CompletableFuture<CreateHyperParameterTuningJobResponse> createHyperParameterTuningJob(Consumer<CreateHyperParameterTuningJobRequest.Builder> createHyperParameterTuningJobRequest)
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.
This is a convenience which creates an instance of the CreateHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via CreateHyperParameterTuningJobRequest.builder()
createHyperParameterTuningJobRequest
- A Consumer
that will call methods on CreateHyperParameterTuningJobRequest.Builder
to
create a request.default CompletableFuture<CreateLabelingJobResponse> createLabelingJob(CreateLabelingJobRequest createLabelingJobRequest)
Creates a job that uses human 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 the data is highly confidential or a specific set of skills is required.
One or more vendors that you select from the Amazon Marketplace. Vendors provide expertise in specific areas. Vendors are selected by AWS and meet a minimum standard of data security requirements.
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.
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.
createLabelingJobRequest
- default CompletableFuture<CreateLabelingJobResponse> createLabelingJob(Consumer<CreateLabelingJobRequest.Builder> createLabelingJobRequest)
Creates a job that uses human 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 the data is highly confidential or a specific set of skills is required.
One or more vendors that you select from the Amazon Marketplace. Vendors provide expertise in specific areas. Vendors are selected by AWS and meet a minimum standard of data security requirements.
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.
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.
This is a convenience which creates an instance of the CreateLabelingJobRequest.Builder
avoiding the need
to create one manually via CreateLabelingJobRequest.builder()
createLabelingJobRequest
- A Consumer
that will call methods on CreateLabelingJobRequest.Builder
to create a request.default CompletableFuture<CreateModelResponse> createModel(CreateModelRequest createModelRequest)
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.
createModelRequest
- default CompletableFuture<CreateModelResponse> createModel(Consumer<CreateModelRequest.Builder> createModelRequest)
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.
This is a convenience which creates an instance of the CreateModelRequest.Builder
avoiding the need to
create one manually via CreateModelRequest.builder()
createModelRequest
- A Consumer
that will call methods on CreateModelInput.Builder
to create a request.default CompletableFuture<CreateModelPackageResponse> createModelPackage(CreateModelPackageRequest createModelPackageRequest)
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.
createModelPackageRequest
- default CompletableFuture<CreateModelPackageResponse> createModelPackage(Consumer<CreateModelPackageRequest.Builder> createModelPackageRequest)
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.
This is a convenience which creates an instance of the CreateModelPackageRequest.Builder
avoiding the
need to create one manually via CreateModelPackageRequest.builder()
createModelPackageRequest
- A Consumer
that will call methods on CreateModelPackageInput.Builder
to create a request.default CompletableFuture<CreateNotebookInstanceResponse> createNotebookInstance(CreateNotebookInstanceRequest createNotebookInstanceRequest)
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:
Creates a network interface in the Amazon SageMaker VPC.
(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.
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.
createNotebookInstanceRequest
- default CompletableFuture<CreateNotebookInstanceResponse> createNotebookInstance(Consumer<CreateNotebookInstanceRequest.Builder> createNotebookInstanceRequest)
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:
Creates a network interface in the Amazon SageMaker VPC.
(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.
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.
This is a convenience which creates an instance of the CreateNotebookInstanceRequest.Builder
avoiding the
need to create one manually via CreateNotebookInstanceRequest.builder()
createNotebookInstanceRequest
- A Consumer
that will call methods on CreateNotebookInstanceInput.Builder
to create a
request.default CompletableFuture<CreateNotebookInstanceLifecycleConfigResponse> createNotebookInstanceLifecycleConfig(CreateNotebookInstanceLifecycleConfigRequest createNotebookInstanceLifecycleConfigRequest)
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.
createNotebookInstanceLifecycleConfigRequest
- default CompletableFuture<CreateNotebookInstanceLifecycleConfigResponse> createNotebookInstanceLifecycleConfig(Consumer<CreateNotebookInstanceLifecycleConfigRequest.Builder> createNotebookInstanceLifecycleConfigRequest)
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.
This is a convenience which creates an instance of the
CreateNotebookInstanceLifecycleConfigRequest.Builder
avoiding the need to create one manually via
CreateNotebookInstanceLifecycleConfigRequest.builder()
createNotebookInstanceLifecycleConfigRequest
- A Consumer
that will call methods on CreateNotebookInstanceLifecycleConfigInput.Builder
to
create a request.default CompletableFuture<CreatePresignedNotebookInstanceUrlResponse> createPresignedNotebookInstanceUrl(CreatePresignedNotebookInstanceUrlRequest createPresignedNotebookInstanceUrlRequest)
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.
createPresignedNotebookInstanceUrlRequest
- default CompletableFuture<CreatePresignedNotebookInstanceUrlResponse> createPresignedNotebookInstanceUrl(Consumer<CreatePresignedNotebookInstanceUrlRequest.Builder> createPresignedNotebookInstanceUrlRequest)
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.
This is a convenience which creates an instance of the CreatePresignedNotebookInstanceUrlRequest.Builder
avoiding the need to create one manually via CreatePresignedNotebookInstanceUrlRequest.builder()
createPresignedNotebookInstanceUrlRequest
- A Consumer
that will call methods on CreatePresignedNotebookInstanceUrlInput.Builder
to
create a request.default CompletableFuture<CreateTrainingJobResponse> createTrainingJob(CreateTrainingJobRequest createTrainingJobRequest)
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.
createTrainingJobRequest
- default CompletableFuture<CreateTrainingJobResponse> createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest)
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.
This is a convenience which creates an instance of the CreateTrainingJobRequest.Builder
avoiding the need
to create one manually via CreateTrainingJobRequest.builder()
createTrainingJobRequest
- A Consumer
that will call methods on CreateTrainingJobRequest.Builder
to create a request.default CompletableFuture<CreateTransformJobResponse> createTransformJob(CreateTransformJobRequest createTransformJobRequest)
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.
createTransformJobRequest
- default CompletableFuture<CreateTransformJobResponse> createTransformJob(Consumer<CreateTransformJobRequest.Builder> createTransformJobRequest)
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.
This is a convenience which creates an instance of the CreateTransformJobRequest.Builder
avoiding the
need to create one manually via CreateTransformJobRequest.builder()
createTransformJobRequest
- A Consumer
that will call methods on CreateTransformJobRequest.Builder
to create a
request.default CompletableFuture<CreateWorkteamResponse> createWorkteam(CreateWorkteamRequest createWorkteamRequest)
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.
createWorkteamRequest
- default CompletableFuture<CreateWorkteamResponse> createWorkteam(Consumer<CreateWorkteamRequest.Builder> createWorkteamRequest)
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.
This is a convenience which creates an instance of the CreateWorkteamRequest.Builder
avoiding the need to
create one manually via CreateWorkteamRequest.builder()
createWorkteamRequest
- A Consumer
that will call methods on CreateWorkteamRequest.Builder
to create a request.default CompletableFuture<DeleteAlgorithmResponse> deleteAlgorithm(DeleteAlgorithmRequest deleteAlgorithmRequest)
Removes the specified algorithm from your account.
deleteAlgorithmRequest
- default CompletableFuture<DeleteAlgorithmResponse> deleteAlgorithm(Consumer<DeleteAlgorithmRequest.Builder> deleteAlgorithmRequest)
Removes the specified algorithm from your account.
This is a convenience which creates an instance of the DeleteAlgorithmRequest.Builder
avoiding the need
to create one manually via DeleteAlgorithmRequest.builder()
deleteAlgorithmRequest
- A Consumer
that will call methods on DeleteAlgorithmInput.Builder
to create a request.default CompletableFuture<DeleteCodeRepositoryResponse> deleteCodeRepository(DeleteCodeRepositoryRequest deleteCodeRepositoryRequest)
Deletes the specified git repository from your account.
deleteCodeRepositoryRequest
- default CompletableFuture<DeleteCodeRepositoryResponse> deleteCodeRepository(Consumer<DeleteCodeRepositoryRequest.Builder> deleteCodeRepositoryRequest)
Deletes the specified git repository from your account.
This is a convenience which creates an instance of the DeleteCodeRepositoryRequest.Builder
avoiding the
need to create one manually via DeleteCodeRepositoryRequest.builder()
deleteCodeRepositoryRequest
- A Consumer
that will call methods on DeleteCodeRepositoryInput.Builder
to create a
request.default CompletableFuture<DeleteEndpointResponse> deleteEndpoint(DeleteEndpointRequest deleteEndpointRequest)
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.
deleteEndpointRequest
- default CompletableFuture<DeleteEndpointResponse> deleteEndpoint(Consumer<DeleteEndpointRequest.Builder> deleteEndpointRequest)
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.
This is a convenience which creates an instance of the DeleteEndpointRequest.Builder
avoiding the need to
create one manually via DeleteEndpointRequest.builder()
deleteEndpointRequest
- A Consumer
that will call methods on DeleteEndpointInput.Builder
to create a request.default CompletableFuture<DeleteEndpointConfigResponse> deleteEndpointConfig(DeleteEndpointConfigRequest deleteEndpointConfigRequest)
Deletes an endpoint configuration. The DeleteEndpointConfig
API deletes only the specified
configuration. It does not delete endpoints created using the configuration.
deleteEndpointConfigRequest
- default CompletableFuture<DeleteEndpointConfigResponse> deleteEndpointConfig(Consumer<DeleteEndpointConfigRequest.Builder> deleteEndpointConfigRequest)
Deletes an endpoint configuration. The DeleteEndpointConfig
API deletes only the specified
configuration. It does not delete endpoints created using the configuration.
This is a convenience which creates an instance of the DeleteEndpointConfigRequest.Builder
avoiding the
need to create one manually via DeleteEndpointConfigRequest.builder()
deleteEndpointConfigRequest
- A Consumer
that will call methods on DeleteEndpointConfigInput.Builder
to create a
request.default CompletableFuture<DeleteModelResponse> deleteModel(DeleteModelRequest deleteModelRequest)
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.
deleteModelRequest
- default CompletableFuture<DeleteModelResponse> deleteModel(Consumer<DeleteModelRequest.Builder> deleteModelRequest)
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.
This is a convenience which creates an instance of the DeleteModelRequest.Builder
avoiding the need to
create one manually via DeleteModelRequest.builder()
deleteModelRequest
- A Consumer
that will call methods on DeleteModelInput.Builder
to create a request.default CompletableFuture<DeleteModelPackageResponse> deleteModelPackage(DeleteModelPackageRequest deleteModelPackageRequest)
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.
deleteModelPackageRequest
- default CompletableFuture<DeleteModelPackageResponse> deleteModelPackage(Consumer<DeleteModelPackageRequest.Builder> deleteModelPackageRequest)
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.
This is a convenience which creates an instance of the DeleteModelPackageRequest.Builder
avoiding the
need to create one manually via DeleteModelPackageRequest.builder()
deleteModelPackageRequest
- A Consumer
that will call methods on DeleteModelPackageInput.Builder
to create a request.default CompletableFuture<DeleteNotebookInstanceResponse> deleteNotebookInstance(DeleteNotebookInstanceRequest deleteNotebookInstanceRequest)
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.
deleteNotebookInstanceRequest
- default CompletableFuture<DeleteNotebookInstanceResponse> deleteNotebookInstance(Consumer<DeleteNotebookInstanceRequest.Builder> deleteNotebookInstanceRequest)
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.
This is a convenience which creates an instance of the DeleteNotebookInstanceRequest.Builder
avoiding the
need to create one manually via DeleteNotebookInstanceRequest.builder()
deleteNotebookInstanceRequest
- A Consumer
that will call methods on DeleteNotebookInstanceInput.Builder
to create a
request.default CompletableFuture<DeleteNotebookInstanceLifecycleConfigResponse> deleteNotebookInstanceLifecycleConfig(DeleteNotebookInstanceLifecycleConfigRequest deleteNotebookInstanceLifecycleConfigRequest)
Deletes a notebook instance lifecycle configuration.
deleteNotebookInstanceLifecycleConfigRequest
- default CompletableFuture<DeleteNotebookInstanceLifecycleConfigResponse> deleteNotebookInstanceLifecycleConfig(Consumer<DeleteNotebookInstanceLifecycleConfigRequest.Builder> deleteNotebookInstanceLifecycleConfigRequest)
Deletes a notebook instance lifecycle configuration.
This is a convenience which creates an instance of the
DeleteNotebookInstanceLifecycleConfigRequest.Builder
avoiding the need to create one manually via
DeleteNotebookInstanceLifecycleConfigRequest.builder()
deleteNotebookInstanceLifecycleConfigRequest
- A Consumer
that will call methods on DeleteNotebookInstanceLifecycleConfigInput.Builder
to
create a request.default CompletableFuture<DeleteTagsResponse> deleteTags(DeleteTagsRequest deleteTagsRequest)
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.
deleteTagsRequest
- default CompletableFuture<DeleteTagsResponse> deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
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.
This is a convenience which creates an instance of the DeleteTagsRequest.Builder
avoiding the need to
create one manually via DeleteTagsRequest.builder()
deleteTagsRequest
- A Consumer
that will call methods on DeleteTagsInput.Builder
to create a request.default CompletableFuture<DeleteWorkteamResponse> deleteWorkteam(DeleteWorkteamRequest deleteWorkteamRequest)
Deletes an existing work team. This operation can't be undone.
deleteWorkteamRequest
- default CompletableFuture<DeleteWorkteamResponse> deleteWorkteam(Consumer<DeleteWorkteamRequest.Builder> deleteWorkteamRequest)
Deletes an existing work team. This operation can't be undone.
This is a convenience which creates an instance of the DeleteWorkteamRequest.Builder
avoiding the need to
create one manually via DeleteWorkteamRequest.builder()
deleteWorkteamRequest
- A Consumer
that will call methods on DeleteWorkteamRequest.Builder
to create a request.default CompletableFuture<DescribeAlgorithmResponse> describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)
Returns a description of the specified algorithm that is in your account.
describeAlgorithmRequest
- default CompletableFuture<DescribeAlgorithmResponse> describeAlgorithm(Consumer<DescribeAlgorithmRequest.Builder> describeAlgorithmRequest)
Returns a description of the specified algorithm that is in your account.
This is a convenience which creates an instance of the DescribeAlgorithmRequest.Builder
avoiding the need
to create one manually via DescribeAlgorithmRequest.builder()
describeAlgorithmRequest
- A Consumer
that will call methods on DescribeAlgorithmInput.Builder
to create a request.default CompletableFuture<DescribeCodeRepositoryResponse> describeCodeRepository(DescribeCodeRepositoryRequest describeCodeRepositoryRequest)
Gets details about the specified git repository.
describeCodeRepositoryRequest
- default CompletableFuture<DescribeCodeRepositoryResponse> describeCodeRepository(Consumer<DescribeCodeRepositoryRequest.Builder> describeCodeRepositoryRequest)
Gets details about the specified git repository.
This is a convenience which creates an instance of the DescribeCodeRepositoryRequest.Builder
avoiding the
need to create one manually via DescribeCodeRepositoryRequest.builder()
describeCodeRepositoryRequest
- A Consumer
that will call methods on DescribeCodeRepositoryInput.Builder
to create a
request.default CompletableFuture<DescribeCompilationJobResponse> describeCompilationJob(DescribeCompilationJobRequest describeCompilationJobRequest)
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.
describeCompilationJobRequest
- default CompletableFuture<DescribeCompilationJobResponse> describeCompilationJob(Consumer<DescribeCompilationJobRequest.Builder> describeCompilationJobRequest)
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.
This is a convenience which creates an instance of the DescribeCompilationJobRequest.Builder
avoiding the
need to create one manually via DescribeCompilationJobRequest.builder()
describeCompilationJobRequest
- A Consumer
that will call methods on DescribeCompilationJobRequest.Builder
to create a
request.default CompletableFuture<DescribeEndpointResponse> describeEndpoint(DescribeEndpointRequest describeEndpointRequest)
Returns the description of an endpoint.
describeEndpointRequest
- default CompletableFuture<DescribeEndpointResponse> describeEndpoint(Consumer<DescribeEndpointRequest.Builder> describeEndpointRequest)
Returns the description of an endpoint.
This is a convenience which creates an instance of the DescribeEndpointRequest.Builder
avoiding the need
to create one manually via DescribeEndpointRequest.builder()
describeEndpointRequest
- A Consumer
that will call methods on DescribeEndpointInput.Builder
to create a request.default CompletableFuture<DescribeEndpointConfigResponse> describeEndpointConfig(DescribeEndpointConfigRequest describeEndpointConfigRequest)
Returns the description of an endpoint configuration created using the CreateEndpointConfig
API.
describeEndpointConfigRequest
- default CompletableFuture<DescribeEndpointConfigResponse> describeEndpointConfig(Consumer<DescribeEndpointConfigRequest.Builder> describeEndpointConfigRequest)
Returns the description of an endpoint configuration created using the CreateEndpointConfig
API.
This is a convenience which creates an instance of the DescribeEndpointConfigRequest.Builder
avoiding the
need to create one manually via DescribeEndpointConfigRequest.builder()
describeEndpointConfigRequest
- A Consumer
that will call methods on DescribeEndpointConfigInput.Builder
to create a
request.default CompletableFuture<DescribeHyperParameterTuningJobResponse> describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest)
Gets a description of a hyperparameter tuning job.
describeHyperParameterTuningJobRequest
- default CompletableFuture<DescribeHyperParameterTuningJobResponse> describeHyperParameterTuningJob(Consumer<DescribeHyperParameterTuningJobRequest.Builder> describeHyperParameterTuningJobRequest)
Gets a description of a hyperparameter tuning job.
This is a convenience which creates an instance of the DescribeHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via DescribeHyperParameterTuningJobRequest.builder()
describeHyperParameterTuningJobRequest
- A Consumer
that will call methods on DescribeHyperParameterTuningJobRequest.Builder
to
create a request.default CompletableFuture<DescribeLabelingJobResponse> describeLabelingJob(DescribeLabelingJobRequest describeLabelingJobRequest)
Gets information about a labeling job.
describeLabelingJobRequest
- default CompletableFuture<DescribeLabelingJobResponse> describeLabelingJob(Consumer<DescribeLabelingJobRequest.Builder> describeLabelingJobRequest)
Gets information about a labeling job.
This is a convenience which creates an instance of the DescribeLabelingJobRequest.Builder
avoiding the
need to create one manually via DescribeLabelingJobRequest.builder()
describeLabelingJobRequest
- A Consumer
that will call methods on DescribeLabelingJobRequest.Builder
to create a
request.default CompletableFuture<DescribeModelResponse> describeModel(DescribeModelRequest describeModelRequest)
Describes a model that you created using the CreateModel
API.
describeModelRequest
- default CompletableFuture<DescribeModelResponse> describeModel(Consumer<DescribeModelRequest.Builder> describeModelRequest)
Describes a model that you created using the CreateModel
API.
This is a convenience which creates an instance of the DescribeModelRequest.Builder
avoiding the need to
create one manually via DescribeModelRequest.builder()
describeModelRequest
- A Consumer
that will call methods on DescribeModelInput.Builder
to create a request.default CompletableFuture<DescribeModelPackageResponse> describeModelPackage(DescribeModelPackageRequest describeModelPackageRequest)
Returns a description of the specified model package, which 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.
describeModelPackageRequest
- default CompletableFuture<DescribeModelPackageResponse> describeModelPackage(Consumer<DescribeModelPackageRequest.Builder> describeModelPackageRequest)
Returns a description of the specified model package, which 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.
This is a convenience which creates an instance of the DescribeModelPackageRequest.Builder
avoiding the
need to create one manually via DescribeModelPackageRequest.builder()
describeModelPackageRequest
- A Consumer
that will call methods on DescribeModelPackageInput.Builder
to create a
request.default CompletableFuture<DescribeNotebookInstanceResponse> describeNotebookInstance(DescribeNotebookInstanceRequest describeNotebookInstanceRequest)
Returns information about a notebook instance.
describeNotebookInstanceRequest
- default CompletableFuture<DescribeNotebookInstanceResponse> describeNotebookInstance(Consumer<DescribeNotebookInstanceRequest.Builder> describeNotebookInstanceRequest)
Returns information about a notebook instance.
This is a convenience which creates an instance of the DescribeNotebookInstanceRequest.Builder
avoiding
the need to create one manually via DescribeNotebookInstanceRequest.builder()
describeNotebookInstanceRequest
- A Consumer
that will call methods on DescribeNotebookInstanceInput.Builder
to create a
request.default CompletableFuture<DescribeNotebookInstanceLifecycleConfigResponse> describeNotebookInstanceLifecycleConfig(DescribeNotebookInstanceLifecycleConfigRequest describeNotebookInstanceLifecycleConfigRequest)
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.
describeNotebookInstanceLifecycleConfigRequest
- default CompletableFuture<DescribeNotebookInstanceLifecycleConfigResponse> describeNotebookInstanceLifecycleConfig(Consumer<DescribeNotebookInstanceLifecycleConfigRequest.Builder> describeNotebookInstanceLifecycleConfigRequest)
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.
This is a convenience which creates an instance of the
DescribeNotebookInstanceLifecycleConfigRequest.Builder
avoiding the need to create one manually via
DescribeNotebookInstanceLifecycleConfigRequest.builder()
describeNotebookInstanceLifecycleConfigRequest
- A Consumer
that will call methods on DescribeNotebookInstanceLifecycleConfigInput.Builder
to create a request.default CompletableFuture<DescribeSubscribedWorkteamResponse> describeSubscribedWorkteam(DescribeSubscribedWorkteamRequest describeSubscribedWorkteamRequest)
Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
describeSubscribedWorkteamRequest
- default CompletableFuture<DescribeSubscribedWorkteamResponse> describeSubscribedWorkteam(Consumer<DescribeSubscribedWorkteamRequest.Builder> describeSubscribedWorkteamRequest)
Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
This is a convenience which creates an instance of the DescribeSubscribedWorkteamRequest.Builder
avoiding
the need to create one manually via DescribeSubscribedWorkteamRequest.builder()
describeSubscribedWorkteamRequest
- A Consumer
that will call methods on DescribeSubscribedWorkteamRequest.Builder
to create a
request.default CompletableFuture<DescribeTrainingJobResponse> describeTrainingJob(DescribeTrainingJobRequest describeTrainingJobRequest)
Returns information about a training job.
describeTrainingJobRequest
- default CompletableFuture<DescribeTrainingJobResponse> describeTrainingJob(Consumer<DescribeTrainingJobRequest.Builder> describeTrainingJobRequest)
Returns information about a training job.
This is a convenience which creates an instance of the DescribeTrainingJobRequest.Builder
avoiding the
need to create one manually via DescribeTrainingJobRequest.builder()
describeTrainingJobRequest
- A Consumer
that will call methods on DescribeTrainingJobRequest.Builder
to create a
request.default CompletableFuture<DescribeTransformJobResponse> describeTransformJob(DescribeTransformJobRequest describeTransformJobRequest)
Returns information about a transform job.
describeTransformJobRequest
- default CompletableFuture<DescribeTransformJobResponse> describeTransformJob(Consumer<DescribeTransformJobRequest.Builder> describeTransformJobRequest)
Returns information about a transform job.
This is a convenience which creates an instance of the DescribeTransformJobRequest.Builder
avoiding the
need to create one manually via DescribeTransformJobRequest.builder()
describeTransformJobRequest
- A Consumer
that will call methods on DescribeTransformJobRequest.Builder
to create a
request.default CompletableFuture<DescribeWorkteamResponse> describeWorkteam(DescribeWorkteamRequest describeWorkteamRequest)
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).
describeWorkteamRequest
- default CompletableFuture<DescribeWorkteamResponse> describeWorkteam(Consumer<DescribeWorkteamRequest.Builder> describeWorkteamRequest)
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).
This is a convenience which creates an instance of the DescribeWorkteamRequest.Builder
avoiding the need
to create one manually via DescribeWorkteamRequest.builder()
describeWorkteamRequest
- A Consumer
that will call methods on DescribeWorkteamRequest.Builder
to create a request.default CompletableFuture<GetSearchSuggestionsResponse> getSearchSuggestions(GetSearchSuggestionsRequest getSearchSuggestionsRequest)
Returns suggestions for the property name to use in Search
queries. Provides suggestions for
HyperParameters
, Tags
, and Metrics
.
getSearchSuggestionsRequest
- default CompletableFuture<GetSearchSuggestionsResponse> getSearchSuggestions(Consumer<GetSearchSuggestionsRequest.Builder> getSearchSuggestionsRequest)
Returns suggestions for the property name to use in Search
queries. Provides suggestions for
HyperParameters
, Tags
, and Metrics
.
This is a convenience which creates an instance of the GetSearchSuggestionsRequest.Builder
avoiding the
need to create one manually via GetSearchSuggestionsRequest.builder()
getSearchSuggestionsRequest
- A Consumer
that will call methods on GetSearchSuggestionsRequest.Builder
to create a
request.default CompletableFuture<ListAlgorithmsResponse> listAlgorithms(ListAlgorithmsRequest listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
listAlgorithmsRequest
- default CompletableFuture<ListAlgorithmsResponse> listAlgorithms(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)
Lists the machine learning algorithms that have been created.
This is a convenience which creates an instance of the ListAlgorithmsRequest.Builder
avoiding the need to
create one manually via ListAlgorithmsRequest.builder()
listAlgorithmsRequest
- A Consumer
that will call methods on ListAlgorithmsInput.Builder
to create a request.default CompletableFuture<ListAlgorithmsResponse> listAlgorithms()
Lists the machine learning algorithms that have been created.
default CompletableFuture<ListCodeRepositoriesResponse> listCodeRepositories(ListCodeRepositoriesRequest listCodeRepositoriesRequest)
Gets a list of the git repositories in your account.
listCodeRepositoriesRequest
- default CompletableFuture<ListCodeRepositoriesResponse> listCodeRepositories(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)
Gets a list of the git repositories in your account.
This is a convenience which creates an instance of the ListCodeRepositoriesRequest.Builder
avoiding the
need to create one manually via ListCodeRepositoriesRequest.builder()
listCodeRepositoriesRequest
- A Consumer
that will call methods on ListCodeRepositoriesInput.Builder
to create a
request.default CompletableFuture<ListCodeRepositoriesResponse> listCodeRepositories()
Gets a list of the git repositories in your account.
default CompletableFuture<ListCompilationJobsResponse> listCompilationJobs(ListCompilationJobsRequest listCompilationJobsRequest)
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.
listCompilationJobsRequest
- default CompletableFuture<ListCompilationJobsResponse> listCompilationJobs(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
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.
This is a convenience which creates an instance of the ListCompilationJobsRequest.Builder
avoiding the
need to create one manually via ListCompilationJobsRequest.builder()
listCompilationJobsRequest
- A Consumer
that will call methods on ListCompilationJobsRequest.Builder
to create a
request.default CompletableFuture<ListCompilationJobsResponse> listCompilationJobs()
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.
default ListCompilationJobsPublisher listCompilationJobsPaginator()
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.
This is a variant of
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation.
default ListCompilationJobsPublisher listCompilationJobsPaginator(ListCompilationJobsRequest listCompilationJobsRequest)
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.
This is a variant of
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation.
listCompilationJobsRequest
- default ListCompilationJobsPublisher listCompilationJobsPaginator(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
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.
This is a variant of
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsPublisher publisher = client.listCompilationJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest)
operation.
This is a convenience which creates an instance of the ListCompilationJobsRequest.Builder
avoiding the
need to create one manually via ListCompilationJobsRequest.builder()
listCompilationJobsRequest
- A Consumer
that will call methods on ListCompilationJobsRequest.Builder
to create a
request.default CompletableFuture<ListEndpointConfigsResponse> listEndpointConfigs(ListEndpointConfigsRequest listEndpointConfigsRequest)
Lists endpoint configurations.
listEndpointConfigsRequest
- default CompletableFuture<ListEndpointConfigsResponse> listEndpointConfigs(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
Lists endpoint configurations.
This is a convenience which creates an instance of the ListEndpointConfigsRequest.Builder
avoiding the
need to create one manually via ListEndpointConfigsRequest.builder()
listEndpointConfigsRequest
- A Consumer
that will call methods on ListEndpointConfigsInput.Builder
to create a request.default CompletableFuture<ListEndpointConfigsResponse> listEndpointConfigs()
Lists endpoint configurations.
default ListEndpointConfigsPublisher listEndpointConfigsPaginator()
Lists endpoint configurations.
This is a variant of
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation.
default ListEndpointConfigsPublisher listEndpointConfigsPaginator(ListEndpointConfigsRequest listEndpointConfigsRequest)
Lists endpoint configurations.
This is a variant of
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation.
listEndpointConfigsRequest
- default ListEndpointConfigsPublisher listEndpointConfigsPaginator(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
Lists endpoint configurations.
This is a variant of
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsPublisher publisher = client.listEndpointConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest)
operation.
This is a convenience which creates an instance of the ListEndpointConfigsRequest.Builder
avoiding the
need to create one manually via ListEndpointConfigsRequest.builder()
listEndpointConfigsRequest
- A Consumer
that will call methods on ListEndpointConfigsInput.Builder
to create a request.default CompletableFuture<ListEndpointsResponse> listEndpoints(ListEndpointsRequest listEndpointsRequest)
Lists endpoints.
listEndpointsRequest
- default CompletableFuture<ListEndpointsResponse> listEndpoints(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
Lists endpoints.
This is a convenience which creates an instance of the ListEndpointsRequest.Builder
avoiding the need to
create one manually via ListEndpointsRequest.builder()
listEndpointsRequest
- A Consumer
that will call methods on ListEndpointsInput.Builder
to create a request.default CompletableFuture<ListEndpointsResponse> listEndpoints()
Lists endpoints.
default ListEndpointsPublisher listEndpointsPaginator()
Lists endpoints.
This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation.
default ListEndpointsPublisher listEndpointsPaginator(ListEndpointsRequest listEndpointsRequest)
Lists endpoints.
This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation.
listEndpointsRequest
- default ListEndpointsPublisher listEndpointsPaginator(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
Lists endpoints.
This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsPublisher publisher = client.listEndpointsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest)
operation.
This is a convenience which creates an instance of the ListEndpointsRequest.Builder
avoiding the need to
create one manually via ListEndpointsRequest.builder()
listEndpointsRequest
- A Consumer
that will call methods on ListEndpointsInput.Builder
to create a request.default CompletableFuture<ListHyperParameterTuningJobsResponse> listHyperParameterTuningJobs(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
listHyperParameterTuningJobsRequest
- default CompletableFuture<ListHyperParameterTuningJobsResponse> listHyperParameterTuningJobs(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a convenience which creates an instance of the ListHyperParameterTuningJobsRequest.Builder
avoiding the need to create one manually via ListHyperParameterTuningJobsRequest.builder()
listHyperParameterTuningJobsRequest
- A Consumer
that will call methods on ListHyperParameterTuningJobsRequest.Builder
to create
a request.default CompletableFuture<ListHyperParameterTuningJobsResponse> listHyperParameterTuningJobs()
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
default ListHyperParameterTuningJobsPublisher listHyperParameterTuningJobsPaginator()
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a variant of
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation.
default ListHyperParameterTuningJobsPublisher listHyperParameterTuningJobsPaginator(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a variant of
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation.
listHyperParameterTuningJobsRequest
- default ListHyperParameterTuningJobsPublisher listHyperParameterTuningJobsPaginator(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
This is a variant of
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsPublisher publisher = client.listHyperParameterTuningJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest)
operation.
This is a convenience which creates an instance of the ListHyperParameterTuningJobsRequest.Builder
avoiding the need to create one manually via ListHyperParameterTuningJobsRequest.builder()
listHyperParameterTuningJobsRequest
- A Consumer
that will call methods on ListHyperParameterTuningJobsRequest.Builder
to create
a request.default CompletableFuture<ListLabelingJobsResponse> listLabelingJobs(ListLabelingJobsRequest listLabelingJobsRequest)
Gets a list of labeling jobs.
listLabelingJobsRequest
- default CompletableFuture<ListLabelingJobsResponse> listLabelingJobs(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
Gets a list of labeling jobs.
This is a convenience which creates an instance of the ListLabelingJobsRequest.Builder
avoiding the need
to create one manually via ListLabelingJobsRequest.builder()
listLabelingJobsRequest
- A Consumer
that will call methods on ListLabelingJobsRequest.Builder
to create a request.default CompletableFuture<ListLabelingJobsResponse> listLabelingJobs()
Gets a list of labeling jobs.
default CompletableFuture<ListLabelingJobsForWorkteamResponse> listLabelingJobsForWorkteam(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
listLabelingJobsForWorkteamRequest
- default CompletableFuture<ListLabelingJobsForWorkteamResponse> listLabelingJobsForWorkteam(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
This is a convenience which creates an instance of the ListLabelingJobsForWorkteamRequest.Builder
avoiding the need to create one manually via ListLabelingJobsForWorkteamRequest.builder()
listLabelingJobsForWorkteamRequest
- A Consumer
that will call methods on ListLabelingJobsForWorkteamRequest.Builder
to create
a request.default ListLabelingJobsForWorkteamPublisher listLabelingJobsForWorkteamPaginator(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
This is a variant of
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation.
listLabelingJobsForWorkteamRequest
- default ListLabelingJobsForWorkteamPublisher listLabelingJobsForWorkteamPaginator(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
Gets a list of labeling jobs assigned to a specified work team.
This is a variant of
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamPublisher publisher = client.listLabelingJobsForWorkteamPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest)
operation.
This is a convenience which creates an instance of the ListLabelingJobsForWorkteamRequest.Builder
avoiding the need to create one manually via ListLabelingJobsForWorkteamRequest.builder()
listLabelingJobsForWorkteamRequest
- A Consumer
that will call methods on ListLabelingJobsForWorkteamRequest.Builder
to create
a request.default ListLabelingJobsPublisher listLabelingJobsPaginator()
Gets a list of labeling jobs.
This is a variant of
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest)
operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest)
operation.
default ListLabelingJobsPublisher listLabelingJobsPaginator(ListLabelingJobsRequest listLabelingJobsRequest)
Gets a list of labeling jobs.
This is a variant of
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest)
operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest)
operation.
listLabelingJobsRequest
- default ListLabelingJobsPublisher listLabelingJobsPaginator(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
Gets a list of labeling jobs.
This is a variant of
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest)
operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsPublisher publisher = client.listLabelingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest)
operation.
This is a convenience which creates an instance of the ListLabelingJobsRequest.Builder
avoiding the need
to create one manually via ListLabelingJobsRequest.builder()
listLabelingJobsRequest
- A Consumer
that will call methods on ListLabelingJobsRequest.Builder
to create a request.default CompletableFuture<ListModelPackagesResponse> listModelPackages(ListModelPackagesRequest listModelPackagesRequest)
Lists the model packages that have been created.
listModelPackagesRequest
- default CompletableFuture<ListModelPackagesResponse> listModelPackages(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)
Lists the model packages that have been created.
This is a convenience which creates an instance of the ListModelPackagesRequest.Builder
avoiding the need
to create one manually via ListModelPackagesRequest.builder()
listModelPackagesRequest
- A Consumer
that will call methods on ListModelPackagesInput.Builder
to create a request.default CompletableFuture<ListModelPackagesResponse> listModelPackages()
Lists the model packages that have been created.
default CompletableFuture<ListModelsResponse> listModels(ListModelsRequest listModelsRequest)
Lists models created with the CreateModel API.
listModelsRequest
- default CompletableFuture<ListModelsResponse> listModels(Consumer<ListModelsRequest.Builder> listModelsRequest)
Lists models created with the CreateModel API.
This is a convenience which creates an instance of the ListModelsRequest.Builder
avoiding the need to
create one manually via ListModelsRequest.builder()
listModelsRequest
- A Consumer
that will call methods on ListModelsInput.Builder
to create a request.default CompletableFuture<ListModelsResponse> listModels()
Lists models created with the CreateModel API.
default ListModelsPublisher listModelsPaginator()
Lists models created with the CreateModel API.
This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation.
default ListModelsPublisher listModelsPaginator(ListModelsRequest listModelsRequest)
Lists models created with the CreateModel API.
This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation.
listModelsRequest
- default ListModelsPublisher listModelsPaginator(Consumer<ListModelsRequest.Builder> listModelsRequest)
Lists models created with the CreateModel API.
This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListModelsPublisher publisher = client.listModelsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListModelsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest)
operation.
This is a convenience which creates an instance of the ListModelsRequest.Builder
avoiding the need to
create one manually via ListModelsRequest.builder()
listModelsRequest
- A Consumer
that will call methods on ListModelsInput.Builder
to create a request.default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> listNotebookInstanceLifecycleConfigs(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
listNotebookInstanceLifecycleConfigsRequest
- default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> listNotebookInstanceLifecycleConfigs(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a convenience which creates an instance of the
ListNotebookInstanceLifecycleConfigsRequest.Builder
avoiding the need to create one manually via
ListNotebookInstanceLifecycleConfigsRequest.builder()
listNotebookInstanceLifecycleConfigsRequest
- A Consumer
that will call methods on ListNotebookInstanceLifecycleConfigsInput.Builder
to
create a request.default CompletableFuture<ListNotebookInstanceLifecycleConfigsResponse> listNotebookInstanceLifecycleConfigs()
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
default ListNotebookInstanceLifecycleConfigsPublisher listNotebookInstanceLifecycleConfigsPaginator()
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a variant of
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation.
default ListNotebookInstanceLifecycleConfigsPublisher listNotebookInstanceLifecycleConfigsPaginator(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a variant of
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation.
listNotebookInstanceLifecycleConfigsRequest
- default ListNotebookInstanceLifecycleConfigsPublisher listNotebookInstanceLifecycleConfigsPaginator(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
This is a variant of
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsPublisher publisher = client.listNotebookInstanceLifecycleConfigsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest)
operation.
This is a convenience which creates an instance of the
ListNotebookInstanceLifecycleConfigsRequest.Builder
avoiding the need to create one manually via
ListNotebookInstanceLifecycleConfigsRequest.builder()
listNotebookInstanceLifecycleConfigsRequest
- A Consumer
that will call methods on ListNotebookInstanceLifecycleConfigsInput.Builder
to
create a request.default CompletableFuture<ListNotebookInstancesResponse> listNotebookInstances(ListNotebookInstancesRequest listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
listNotebookInstancesRequest
- default CompletableFuture<ListNotebookInstancesResponse> listNotebookInstances(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a convenience which creates an instance of the ListNotebookInstancesRequest.Builder
avoiding the
need to create one manually via ListNotebookInstancesRequest.builder()
listNotebookInstancesRequest
- A Consumer
that will call methods on ListNotebookInstancesInput.Builder
to create a
request.default CompletableFuture<ListNotebookInstancesResponse> listNotebookInstances()
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
default ListNotebookInstancesPublisher listNotebookInstancesPaginator()
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a variant of
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation.
default ListNotebookInstancesPublisher listNotebookInstancesPaginator(ListNotebookInstancesRequest listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a variant of
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation.
listNotebookInstancesRequest
- default ListNotebookInstancesPublisher listNotebookInstancesPaginator(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
This is a variant of
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesPublisher publisher = client.listNotebookInstancesPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest)
operation.
This is a convenience which creates an instance of the ListNotebookInstancesRequest.Builder
avoiding the
need to create one manually via ListNotebookInstancesRequest.builder()
listNotebookInstancesRequest
- A Consumer
that will call methods on ListNotebookInstancesInput.Builder
to create a
request.default CompletableFuture<ListSubscribedWorkteamsResponse> listSubscribedWorkteams(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
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.
listSubscribedWorkteamsRequest
- default CompletableFuture<ListSubscribedWorkteamsResponse> listSubscribedWorkteams(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
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.
This is a convenience which creates an instance of the ListSubscribedWorkteamsRequest.Builder
avoiding
the need to create one manually via ListSubscribedWorkteamsRequest.builder()
listSubscribedWorkteamsRequest
- A Consumer
that will call methods on ListSubscribedWorkteamsRequest.Builder
to create a
request.default CompletableFuture<ListSubscribedWorkteamsResponse> listSubscribedWorkteams()
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.
default ListSubscribedWorkteamsPublisher listSubscribedWorkteamsPaginator()
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.
This is a variant of
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation.
default ListSubscribedWorkteamsPublisher listSubscribedWorkteamsPaginator(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
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.
This is a variant of
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation.
listSubscribedWorkteamsRequest
- default ListSubscribedWorkteamsPublisher listSubscribedWorkteamsPaginator(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
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.
This is a variant of
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsPublisher publisher = client.listSubscribedWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest)
operation.
This is a convenience which creates an instance of the ListSubscribedWorkteamsRequest.Builder
avoiding
the need to create one manually via ListSubscribedWorkteamsRequest.builder()
listSubscribedWorkteamsRequest
- A Consumer
that will call methods on ListSubscribedWorkteamsRequest.Builder
to create a
request.default CompletableFuture<ListTagsResponse> listTags(ListTagsRequest listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
listTagsRequest
- default CompletableFuture<ListTagsResponse> listTags(Consumer<ListTagsRequest.Builder> listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
This is a convenience which creates an instance of the ListTagsRequest.Builder
avoiding the need to
create one manually via ListTagsRequest.builder()
listTagsRequest
- A Consumer
that will call methods on ListTagsInput.Builder
to create a request.default ListTagsPublisher listTagsPaginator(ListTagsRequest listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTagsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTagsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest)
operation.
listTagsRequest
- default ListTagsPublisher listTagsPaginator(Consumer<ListTagsRequest.Builder> listTagsRequest)
Returns the tags for the specified Amazon SageMaker resource.
This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTagsPublisher publisher = client.listTagsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTagsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTagsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest)
operation.
This is a convenience which creates an instance of the ListTagsRequest.Builder
avoiding the need to
create one manually via ListTagsRequest.builder()
listTagsRequest
- A Consumer
that will call methods on ListTagsInput.Builder
to create a request.default CompletableFuture<ListTrainingJobsResponse> listTrainingJobs(ListTrainingJobsRequest listTrainingJobsRequest)
Lists training jobs.
listTrainingJobsRequest
- default CompletableFuture<ListTrainingJobsResponse> listTrainingJobs(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
Lists training jobs.
This is a convenience which creates an instance of the ListTrainingJobsRequest.Builder
avoiding the need
to create one manually via ListTrainingJobsRequest.builder()
listTrainingJobsRequest
- A Consumer
that will call methods on ListTrainingJobsRequest.Builder
to create a request.default CompletableFuture<ListTrainingJobsResponse> listTrainingJobs()
Lists training jobs.
default CompletableFuture<ListTrainingJobsForHyperParameterTuningJobResponse> listTrainingJobsForHyperParameterTuningJob(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
listTrainingJobsForHyperParameterTuningJobRequest
- default CompletableFuture<ListTrainingJobsForHyperParameterTuningJobResponse> listTrainingJobsForHyperParameterTuningJob(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
This is a convenience which creates an instance of the
ListTrainingJobsForHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via
ListTrainingJobsForHyperParameterTuningJobRequest.builder()
listTrainingJobsForHyperParameterTuningJobRequest
- A Consumer
that will call methods on
ListTrainingJobsForHyperParameterTuningJobRequest.Builder
to create a request.default ListTrainingJobsForHyperParameterTuningJobPublisher listTrainingJobsForHyperParameterTuningJobPaginator(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
This is a variant of
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation.
listTrainingJobsForHyperParameterTuningJobRequest
- default ListTrainingJobsForHyperParameterTuningJobPublisher listTrainingJobsForHyperParameterTuningJobPaginator(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
This is a variant of
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobPublisher publisher = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest)
operation.
This is a convenience which creates an instance of the
ListTrainingJobsForHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via
ListTrainingJobsForHyperParameterTuningJobRequest.builder()
listTrainingJobsForHyperParameterTuningJobRequest
- A Consumer
that will call methods on
ListTrainingJobsForHyperParameterTuningJobRequest.Builder
to create a request.default ListTrainingJobsPublisher listTrainingJobsPaginator()
Lists training jobs.
This is a variant of
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest)
operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest)
operation.
default ListTrainingJobsPublisher listTrainingJobsPaginator(ListTrainingJobsRequest listTrainingJobsRequest)
Lists training jobs.
This is a variant of
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest)
operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest)
operation.
listTrainingJobsRequest
- default ListTrainingJobsPublisher listTrainingJobsPaginator(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
Lists training jobs.
This is a variant of
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest)
operation. The
return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsPublisher publisher = client.listTrainingJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest)
operation.
This is a convenience which creates an instance of the ListTrainingJobsRequest.Builder
avoiding the need
to create one manually via ListTrainingJobsRequest.builder()
listTrainingJobsRequest
- A Consumer
that will call methods on ListTrainingJobsRequest.Builder
to create a request.default CompletableFuture<ListTransformJobsResponse> listTransformJobs(ListTransformJobsRequest listTransformJobsRequest)
Lists transform jobs.
listTransformJobsRequest
- default CompletableFuture<ListTransformJobsResponse> listTransformJobs(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
Lists transform jobs.
This is a convenience which creates an instance of the ListTransformJobsRequest.Builder
avoiding the need
to create one manually via ListTransformJobsRequest.builder()
listTransformJobsRequest
- A Consumer
that will call methods on ListTransformJobsRequest.Builder
to create a request.default CompletableFuture<ListTransformJobsResponse> listTransformJobs()
Lists transform jobs.
default ListTransformJobsPublisher listTransformJobsPaginator()
Lists transform jobs.
This is a variant of
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
default ListTransformJobsPublisher listTransformJobsPaginator(ListTransformJobsRequest listTransformJobsRequest)
Lists transform jobs.
This is a variant of
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
listTransformJobsRequest
- default ListTransformJobsPublisher listTransformJobsPaginator(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
Lists transform jobs.
This is a variant of
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsPublisher publisher = client.listTransformJobsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest)
operation.
This is a convenience which creates an instance of the ListTransformJobsRequest.Builder
avoiding the need
to create one manually via ListTransformJobsRequest.builder()
listTransformJobsRequest
- A Consumer
that will call methods on ListTransformJobsRequest.Builder
to create a request.default CompletableFuture<ListWorkteamsResponse> listWorkteams(ListWorkteamsRequest listWorkteamsRequest)
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.
listWorkteamsRequest
- default CompletableFuture<ListWorkteamsResponse> listWorkteams(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
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.
This is a convenience which creates an instance of the ListWorkteamsRequest.Builder
avoiding the need to
create one manually via ListWorkteamsRequest.builder()
listWorkteamsRequest
- A Consumer
that will call methods on ListWorkteamsRequest.Builder
to create a request.default CompletableFuture<ListWorkteamsResponse> listWorkteams()
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.
default ListWorkteamsPublisher listWorkteamsPaginator()
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.
This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation.
default ListWorkteamsPublisher listWorkteamsPaginator(ListWorkteamsRequest listWorkteamsRequest)
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.
This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation.
listWorkteamsRequest
- default ListWorkteamsPublisher listWorkteamsPaginator(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
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.
This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation. The return type is a custom publisher that can be subscribed to request a stream of response pages.
SDK will internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsPublisher publisher = client.listWorkteamsPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest)
operation.
This is a convenience which creates an instance of the ListWorkteamsRequest.Builder
avoiding the need to
create one manually via ListWorkteamsRequest.builder()
listWorkteamsRequest
- A Consumer
that will call methods on ListWorkteamsRequest.Builder
to create a request.default CompletableFuture<RenderUiTemplateResponse> renderUiTemplate(RenderUiTemplateRequest renderUiTemplateRequest)
Renders the UI template so that you can preview the worker's experience.
renderUiTemplateRequest
- default CompletableFuture<RenderUiTemplateResponse> renderUiTemplate(Consumer<RenderUiTemplateRequest.Builder> renderUiTemplateRequest)
Renders the UI template so that you can preview the worker's experience.
This is a convenience which creates an instance of the RenderUiTemplateRequest.Builder
avoiding the need
to create one manually via RenderUiTemplateRequest.builder()
renderUiTemplateRequest
- A Consumer
that will call methods on RenderUiTemplateRequest.Builder
to create a request.default CompletableFuture<SearchResponse> search(SearchRequest searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of
SearchResult
objects in the response. The search results can be sorted by any resrouce property in a
ascending or descending order.
You can query against the following value types: numerical, text, Booleans, and timestamps.
searchRequest
- default CompletableFuture<SearchResponse> search(Consumer<SearchRequest.Builder> searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of
SearchResult
objects in the response. The search results can be sorted by any resrouce property in a
ascending or descending order.
You can query against the following value types: numerical, text, Booleans, and timestamps.
This is a convenience which creates an instance of the SearchRequest.Builder
avoiding the need to create
one manually via SearchRequest.builder()
searchRequest
- A Consumer
that will call methods on SearchRequest.Builder
to create a request.default SearchPublisher searchPaginator(SearchRequest searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of
SearchResult
objects in the response. The search results can be sorted by any resrouce property in a
ascending or descending order.
You can query against the following value types: numerical, text, Booleans, and timestamps.
This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest)
operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.SearchResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.SearchResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
search(software.amazon.awssdk.services.sagemaker.model.SearchRequest)
operation.
searchRequest
- default SearchPublisher searchPaginator(Consumer<SearchRequest.Builder> searchRequest)
Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of
SearchResult
objects in the response. The search results can be sorted by any resrouce property in a
ascending or descending order.
You can query against the following value types: numerical, text, Booleans, and timestamps.
This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest)
operation.
The return type is a custom publisher that can be subscribed to request a stream of response pages. SDK will
internally handle making service calls for you.
When the operation is called, an instance of this class is returned. At this point, no service calls are made yet
and so there is no guarantee that the request is valid. If there are errors in your request, you will see the
failures only after you start streaming the data. The subscribe method should be called as a request to start
streaming data. For more info, see
Publisher.subscribe(org.reactivestreams.Subscriber)
. Each call to the subscribe
method will result in a new Subscription
i.e., a new contract to stream data from the
starting request.
The following are few ways to use the response class:
1) Using the subscribe helper method
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
CompletableFuture<Void> future = publisher.subscribe(res -> { // Do something with the response });
future.get();
2) Using a custom subscriber
software.amazon.awssdk.services.sagemaker.paginators.SearchPublisher publisher = client.searchPaginator(request);
publisher.subscribe(new Subscriber<software.amazon.awssdk.services.sagemaker.model.SearchResponse>() {
public void onSubscribe(org.reactivestreams.Subscriber subscription) { //... };
public void onNext(software.amazon.awssdk.services.sagemaker.model.SearchResponse response) { //... };
});
As the response is a publisher, it can work well with third party reactive streams implementations like RxJava2.
Note: If you prefer to have control on service calls, use the
search(software.amazon.awssdk.services.sagemaker.model.SearchRequest)
operation.
This is a convenience which creates an instance of the SearchRequest.Builder
avoiding the need to create
one manually via SearchRequest.builder()
searchRequest
- A Consumer
that will call methods on SearchRequest.Builder
to create a request.default CompletableFuture<StartNotebookInstanceResponse> startNotebookInstance(StartNotebookInstanceRequest startNotebookInstanceRequest)
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.
startNotebookInstanceRequest
- default CompletableFuture<StartNotebookInstanceResponse> startNotebookInstance(Consumer<StartNotebookInstanceRequest.Builder> startNotebookInstanceRequest)
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.
This is a convenience which creates an instance of the StartNotebookInstanceRequest.Builder
avoiding the
need to create one manually via StartNotebookInstanceRequest.builder()
startNotebookInstanceRequest
- A Consumer
that will call methods on StartNotebookInstanceInput.Builder
to create a
request.default CompletableFuture<StopCompilationJobResponse> stopCompilationJob(StopCompilationJobRequest stopCompilationJobRequest)
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$CompilationJobStatus to Stopped
.
stopCompilationJobRequest
- default CompletableFuture<StopCompilationJobResponse> stopCompilationJob(Consumer<StopCompilationJobRequest.Builder> stopCompilationJobRequest)
Stops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn’t stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob
request, Amazon SageMaker changes the
CompilationJobSummary$CompilationJobStatus of the job to Stopping
. After Amazon SageMaker
stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped
.
This is a convenience which creates an instance of the StopCompilationJobRequest.Builder
avoiding the
need to create one manually via StopCompilationJobRequest.builder()
stopCompilationJobRequest
- A Consumer
that will call methods on StopCompilationJobRequest.Builder
to create a
request.default CompletableFuture<StopHyperParameterTuningJobResponse> stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest stopHyperParameterTuningJobRequest)
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.
stopHyperParameterTuningJobRequest
- default CompletableFuture<StopHyperParameterTuningJobResponse> stopHyperParameterTuningJob(Consumer<StopHyperParameterTuningJobRequest.Builder> stopHyperParameterTuningJobRequest)
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.
This is a convenience which creates an instance of the StopHyperParameterTuningJobRequest.Builder
avoiding the need to create one manually via StopHyperParameterTuningJobRequest.builder()
stopHyperParameterTuningJobRequest
- A Consumer
that will call methods on StopHyperParameterTuningJobRequest.Builder
to create
a request.default CompletableFuture<StopLabelingJobResponse> stopLabelingJob(StopLabelingJobRequest stopLabelingJobRequest)
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.
stopLabelingJobRequest
- default CompletableFuture<StopLabelingJobResponse> stopLabelingJob(Consumer<StopLabelingJobRequest.Builder> stopLabelingJobRequest)
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.
This is a convenience which creates an instance of the StopLabelingJobRequest.Builder
avoiding the need
to create one manually via StopLabelingJobRequest.builder()
stopLabelingJobRequest
- A Consumer
that will call methods on StopLabelingJobRequest.Builder
to create a request.default CompletableFuture<StopNotebookInstanceResponse> stopNotebookInstance(StopNotebookInstanceRequest stopNotebookInstanceRequest)
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.
stopNotebookInstanceRequest
- default CompletableFuture<StopNotebookInstanceResponse> stopNotebookInstance(Consumer<StopNotebookInstanceRequest.Builder> stopNotebookInstanceRequest)
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.
This is a convenience which creates an instance of the StopNotebookInstanceRequest.Builder
avoiding the
need to create one manually via StopNotebookInstanceRequest.builder()
stopNotebookInstanceRequest
- A Consumer
that will call methods on StopNotebookInstanceInput.Builder
to create a
request.default CompletableFuture<StopTrainingJobResponse> stopTrainingJob(StopTrainingJobRequest stopTrainingJobRequest)
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
.
stopTrainingJobRequest
- default CompletableFuture<StopTrainingJobResponse> stopTrainingJob(Consumer<StopTrainingJobRequest.Builder> stopTrainingJobRequest)
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
.
This is a convenience which creates an instance of the StopTrainingJobRequest.Builder
avoiding the need
to create one manually via StopTrainingJobRequest.builder()
stopTrainingJobRequest
- A Consumer
that will call methods on StopTrainingJobRequest.Builder
to create a request.default CompletableFuture<StopTransformJobResponse> stopTransformJob(StopTransformJobRequest stopTransformJobRequest)
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.
stopTransformJobRequest
- default CompletableFuture<StopTransformJobResponse> stopTransformJob(Consumer<StopTransformJobRequest.Builder> stopTransformJobRequest)
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.
This is a convenience which creates an instance of the StopTransformJobRequest.Builder
avoiding the need
to create one manually via StopTransformJobRequest.builder()
stopTransformJobRequest
- A Consumer
that will call methods on StopTransformJobRequest.Builder
to create a request.default CompletableFuture<UpdateCodeRepositoryResponse> updateCodeRepository(UpdateCodeRepositoryRequest updateCodeRepositoryRequest)
Updates the specified git repository with the specified values.
updateCodeRepositoryRequest
- default CompletableFuture<UpdateCodeRepositoryResponse> updateCodeRepository(Consumer<UpdateCodeRepositoryRequest.Builder> updateCodeRepositoryRequest)
Updates the specified git repository with the specified values.
This is a convenience which creates an instance of the UpdateCodeRepositoryRequest.Builder
avoiding the
need to create one manually via UpdateCodeRepositoryRequest.builder()
updateCodeRepositoryRequest
- A Consumer
that will call methods on UpdateCodeRepositoryInput.Builder
to create a
request.default CompletableFuture<UpdateEndpointResponse> updateEndpoint(UpdateEndpointRequest updateEndpointRequest)
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
.
updateEndpointRequest
- default CompletableFuture<UpdateEndpointResponse> updateEndpoint(Consumer<UpdateEndpointRequest.Builder> updateEndpointRequest)
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
.
This is a convenience which creates an instance of the UpdateEndpointRequest.Builder
avoiding the need to
create one manually via UpdateEndpointRequest.builder()
updateEndpointRequest
- A Consumer
that will call methods on UpdateEndpointInput.Builder
to create a request.default CompletableFuture<UpdateEndpointWeightsAndCapacitiesResponse> updateEndpointWeightsAndCapacities(UpdateEndpointWeightsAndCapacitiesRequest updateEndpointWeightsAndCapacitiesRequest)
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.
updateEndpointWeightsAndCapacitiesRequest
- default CompletableFuture<UpdateEndpointWeightsAndCapacitiesResponse> updateEndpointWeightsAndCapacities(Consumer<UpdateEndpointWeightsAndCapacitiesRequest.Builder> updateEndpointWeightsAndCapacitiesRequest)
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.
This is a convenience which creates an instance of the UpdateEndpointWeightsAndCapacitiesRequest.Builder
avoiding the need to create one manually via UpdateEndpointWeightsAndCapacitiesRequest.builder()
updateEndpointWeightsAndCapacitiesRequest
- A Consumer
that will call methods on UpdateEndpointWeightsAndCapacitiesInput.Builder
to
create a request.default CompletableFuture<UpdateNotebookInstanceResponse> updateNotebookInstance(UpdateNotebookInstanceRequest updateNotebookInstanceRequest)
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.
updateNotebookInstanceRequest
- default CompletableFuture<UpdateNotebookInstanceResponse> updateNotebookInstance(Consumer<UpdateNotebookInstanceRequest.Builder> updateNotebookInstanceRequest)
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.
This is a convenience which creates an instance of the UpdateNotebookInstanceRequest.Builder
avoiding the
need to create one manually via UpdateNotebookInstanceRequest.builder()
updateNotebookInstanceRequest
- A Consumer
that will call methods on UpdateNotebookInstanceInput.Builder
to create a
request.default CompletableFuture<UpdateNotebookInstanceLifecycleConfigResponse> updateNotebookInstanceLifecycleConfig(UpdateNotebookInstanceLifecycleConfigRequest updateNotebookInstanceLifecycleConfigRequest)
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
updateNotebookInstanceLifecycleConfigRequest
- default CompletableFuture<UpdateNotebookInstanceLifecycleConfigResponse> updateNotebookInstanceLifecycleConfig(Consumer<UpdateNotebookInstanceLifecycleConfigRequest.Builder> updateNotebookInstanceLifecycleConfigRequest)
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
This is a convenience which creates an instance of the
UpdateNotebookInstanceLifecycleConfigRequest.Builder
avoiding the need to create one manually via
UpdateNotebookInstanceLifecycleConfigRequest.builder()
updateNotebookInstanceLifecycleConfigRequest
- A Consumer
that will call methods on UpdateNotebookInstanceLifecycleConfigInput.Builder
to
create a request.default CompletableFuture<UpdateWorkteamResponse> updateWorkteam(UpdateWorkteamRequest updateWorkteamRequest)
Updates an existing work team with new member definitions or description.
updateWorkteamRequest
- default CompletableFuture<UpdateWorkteamResponse> updateWorkteam(Consumer<UpdateWorkteamRequest.Builder> updateWorkteamRequest)
Updates an existing work team with new member definitions or description.
This is a convenience which creates an instance of the UpdateWorkteamRequest.Builder
avoiding the need to
create one manually via UpdateWorkteamRequest.builder()
updateWorkteamRequest
- A Consumer
that will call methods on UpdateWorkteamRequest.Builder
to create a request.Copyright © 2017 Amazon Web Services, Inc. All Rights Reserved.