Interface SageMakerClient

All Superinterfaces:

AutoCloseable, AwsClient, SdkAutoCloseable, SdkClient

@Generated("software.amazon.awssdk:codegen")
@SdkPublicApi
@ThreadSafe
public interface SageMakerClient
extends AwsClient

Service client for accessing SageMaker. This can be created using the static builder() method.

Provides APIs for creating and managing SageMaker resources.

Other Resources:

• SageMaker Developer Guide

• Amazon Augmented AI Runtime API Reference

Field Summary

Fields

Modifier and Type	Field	Description
static final String	SERVICE_METADATA_ID	Value for looking up the service's metadata from the ServiceMetadataProvider.
static final String	SERVICE_NAME

Method Summary

Modifier and Type	Method	Description
default AddAssociationResponse	addAssociation(Consumer<AddAssociationRequest.Builder> addAssociationRequest)	Creates an association between the source and the destination.
default AddAssociationResponse	addAssociation(AddAssociationRequest addAssociationRequest)	Creates an association between the source and the destination.
default AddTagsResponse	addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)	Adds or overwrites one or more tags for the specified SageMaker resource.
default AddTagsResponse	addTags(AddTagsRequest addTagsRequest)	Adds or overwrites one or more tags for the specified SageMaker resource.
default AssociateTrialComponentResponse	associateTrialComponent(Consumer<AssociateTrialComponentRequest.Builder> associateTrialComponentRequest)	Associates a trial component with a trial.
default AssociateTrialComponentResponse	associateTrialComponent(AssociateTrialComponentRequest associateTrialComponentRequest)	Associates a trial component with a trial.
default AttachClusterNodeVolumeResponse	attachClusterNodeVolume(Consumer<AttachClusterNodeVolumeRequest.Builder> attachClusterNodeVolumeRequest)	Attaches your Amazon Elastic Block Store (Amazon EBS) volume to a node in your EKS orchestrated HyperPod cluster.
default AttachClusterNodeVolumeResponse	attachClusterNodeVolume(AttachClusterNodeVolumeRequest attachClusterNodeVolumeRequest)	Attaches your Amazon Elastic Block Store (Amazon EBS) volume to a node in your EKS orchestrated HyperPod cluster.
default BatchAddClusterNodesResponse	batchAddClusterNodes(Consumer<BatchAddClusterNodesRequest.Builder> batchAddClusterNodesRequest)	Adds nodes to a HyperPod cluster by incrementing the target count for one or more instance groups.
default BatchAddClusterNodesResponse	batchAddClusterNodes(BatchAddClusterNodesRequest batchAddClusterNodesRequest)	Adds nodes to a HyperPod cluster by incrementing the target count for one or more instance groups.
default BatchDeleteClusterNodesResponse	batchDeleteClusterNodes(Consumer<BatchDeleteClusterNodesRequest.Builder> batchDeleteClusterNodesRequest)	Deletes specific nodes within a SageMaker HyperPod cluster.
default BatchDeleteClusterNodesResponse	batchDeleteClusterNodes(BatchDeleteClusterNodesRequest batchDeleteClusterNodesRequest)	Deletes specific nodes within a SageMaker HyperPod cluster.
default BatchDescribeModelPackageResponse	batchDescribeModelPackage(Consumer<BatchDescribeModelPackageRequest.Builder> batchDescribeModelPackageRequest)	This action batch describes a list of versioned model packages
default BatchDescribeModelPackageResponse	batchDescribeModelPackage(BatchDescribeModelPackageRequest batchDescribeModelPackageRequest)	This action batch describes a list of versioned model packages
static SageMakerClientBuilder	builder()	Create a builder that can be used to configure and create a SageMakerClient.
static SageMakerClient	create()	Create a SageMakerClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
default CreateActionResponse	createAction(Consumer<CreateActionRequest.Builder> createActionRequest)	Creates an action.
default CreateActionResponse	createAction(CreateActionRequest createActionRequest)	Creates an action.
default CreateAlgorithmResponse	createAlgorithm(Consumer<CreateAlgorithmRequest.Builder> createAlgorithmRequest)	Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
default CreateAlgorithmResponse	createAlgorithm(CreateAlgorithmRequest createAlgorithmRequest)	Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
default CreateAppResponse	createApp(Consumer<CreateAppRequest.Builder> createAppRequest)	Creates a running app for the specified UserProfile.
default CreateAppResponse	createApp(CreateAppRequest createAppRequest)	Creates a running app for the specified UserProfile.
default CreateAppImageConfigResponse	createAppImageConfig(Consumer<CreateAppImageConfigRequest.Builder> createAppImageConfigRequest)	Creates a configuration for running a SageMaker AI image as a KernelGateway app.
default CreateAppImageConfigResponse	createAppImageConfig(CreateAppImageConfigRequest createAppImageConfigRequest)	Creates a configuration for running a SageMaker AI image as a KernelGateway app.
default CreateArtifactResponse	createArtifact(Consumer<CreateArtifactRequest.Builder> createArtifactRequest)	Creates an artifact.
default CreateArtifactResponse	createArtifact(CreateArtifactRequest createArtifactRequest)	Creates an artifact.
default CreateAutoMlJobResponse	createAutoMLJob(Consumer<CreateAutoMlJobRequest.Builder> createAutoMlJobRequest)	Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
default CreateAutoMlJobResponse	createAutoMLJob(CreateAutoMlJobRequest createAutoMlJobRequest)	Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
default CreateAutoMlJobV2Response	createAutoMLJobV2(Consumer<CreateAutoMlJobV2Request.Builder> createAutoMlJobV2Request)	Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
default CreateAutoMlJobV2Response	createAutoMLJobV2(CreateAutoMlJobV2Request createAutoMlJobV2Request)	Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
default CreateClusterResponse	createCluster(Consumer<CreateClusterRequest.Builder> createClusterRequest)	Creates a SageMaker HyperPod cluster.
default CreateClusterResponse	createCluster(CreateClusterRequest createClusterRequest)	Creates a SageMaker HyperPod cluster.
default CreateClusterSchedulerConfigResponse	createClusterSchedulerConfig(Consumer<CreateClusterSchedulerConfigRequest.Builder> createClusterSchedulerConfigRequest)	Create cluster policy configuration.
default CreateClusterSchedulerConfigResponse	createClusterSchedulerConfig(CreateClusterSchedulerConfigRequest createClusterSchedulerConfigRequest)	Create cluster policy configuration.
default CreateCodeRepositoryResponse	createCodeRepository(Consumer<CreateCodeRepositoryRequest.Builder> createCodeRepositoryRequest)	Creates a Git repository as a resource in your SageMaker AI account.
default CreateCodeRepositoryResponse	createCodeRepository(CreateCodeRepositoryRequest createCodeRepositoryRequest)	Creates a Git repository as a resource in your SageMaker AI account.
default CreateCompilationJobResponse	createCompilationJob(Consumer<CreateCompilationJobRequest.Builder> createCompilationJobRequest)	Starts a model compilation job.
default CreateCompilationJobResponse	createCompilationJob(CreateCompilationJobRequest createCompilationJobRequest)	Starts a model compilation job.
default CreateComputeQuotaResponse	createComputeQuota(Consumer<CreateComputeQuotaRequest.Builder> createComputeQuotaRequest)	Create compute allocation definition.
default CreateComputeQuotaResponse	createComputeQuota(CreateComputeQuotaRequest createComputeQuotaRequest)	Create compute allocation definition.
default CreateContextResponse	createContext(Consumer<CreateContextRequest.Builder> createContextRequest)	Creates a context.
default CreateContextResponse	createContext(CreateContextRequest createContextRequest)	Creates a context.
default CreateDataQualityJobDefinitionResponse	createDataQualityJobDefinition(Consumer<CreateDataQualityJobDefinitionRequest.Builder> createDataQualityJobDefinitionRequest)	Creates a definition for a job that monitors data quality and drift.
default CreateDataQualityJobDefinitionResponse	createDataQualityJobDefinition(CreateDataQualityJobDefinitionRequest createDataQualityJobDefinitionRequest)	Creates a definition for a job that monitors data quality and drift.
default CreateDeviceFleetResponse	createDeviceFleet(Consumer<CreateDeviceFleetRequest.Builder> createDeviceFleetRequest)	Creates a device fleet.
default CreateDeviceFleetResponse	createDeviceFleet(CreateDeviceFleetRequest createDeviceFleetRequest)	Creates a device fleet.
default CreateDomainResponse	createDomain(Consumer<CreateDomainRequest.Builder> createDomainRequest)	Creates a Domain.
default CreateDomainResponse	createDomain(CreateDomainRequest createDomainRequest)	Creates a Domain.
default CreateEdgeDeploymentPlanResponse	createEdgeDeploymentPlan(Consumer<CreateEdgeDeploymentPlanRequest.Builder> createEdgeDeploymentPlanRequest)	Creates an edge deployment plan, consisting of multiple stages.
default CreateEdgeDeploymentPlanResponse	createEdgeDeploymentPlan(CreateEdgeDeploymentPlanRequest createEdgeDeploymentPlanRequest)	Creates an edge deployment plan, consisting of multiple stages.
default CreateEdgeDeploymentStageResponse	createEdgeDeploymentStage(Consumer<CreateEdgeDeploymentStageRequest.Builder> createEdgeDeploymentStageRequest)	Creates a new stage in an existing edge deployment plan.
default CreateEdgeDeploymentStageResponse	createEdgeDeploymentStage(CreateEdgeDeploymentStageRequest createEdgeDeploymentStageRequest)	Creates a new stage in an existing edge deployment plan.
default CreateEdgePackagingJobResponse	createEdgePackagingJob(Consumer<CreateEdgePackagingJobRequest.Builder> createEdgePackagingJobRequest)	Starts a SageMaker Edge Manager model packaging job.
default CreateEdgePackagingJobResponse	createEdgePackagingJob(CreateEdgePackagingJobRequest createEdgePackagingJobRequest)	Starts a SageMaker Edge Manager model packaging job.
default CreateEndpointResponse	createEndpoint(Consumer<CreateEndpointRequest.Builder> createEndpointRequest)	Creates an endpoint using the endpoint configuration specified in the request.
default CreateEndpointResponse	createEndpoint(CreateEndpointRequest createEndpointRequest)	Creates an endpoint using the endpoint configuration specified in the request.
default CreateEndpointConfigResponse	createEndpointConfig(Consumer<CreateEndpointConfigRequest.Builder> createEndpointConfigRequest)	Creates an endpoint configuration that SageMaker hosting services uses to deploy models.
default CreateEndpointConfigResponse	createEndpointConfig(CreateEndpointConfigRequest createEndpointConfigRequest)	Creates an endpoint configuration that SageMaker hosting services uses to deploy models.
default CreateExperimentResponse	createExperiment(Consumer<CreateExperimentRequest.Builder> createExperimentRequest)	Creates a SageMaker experiment.
default CreateExperimentResponse	createExperiment(CreateExperimentRequest createExperimentRequest)	Creates a SageMaker experiment.
default CreateFeatureGroupResponse	createFeatureGroup(Consumer<CreateFeatureGroupRequest.Builder> createFeatureGroupRequest)	Create a new FeatureGroup.
default CreateFeatureGroupResponse	createFeatureGroup(CreateFeatureGroupRequest createFeatureGroupRequest)	Create a new FeatureGroup.
default CreateFlowDefinitionResponse	createFlowDefinition(Consumer<CreateFlowDefinitionRequest.Builder> createFlowDefinitionRequest)	Creates a flow definition.
default CreateFlowDefinitionResponse	createFlowDefinition(CreateFlowDefinitionRequest createFlowDefinitionRequest)	Creates a flow definition.
default CreateHubResponse	createHub(Consumer<CreateHubRequest.Builder> createHubRequest)	Create a hub.
default CreateHubResponse	createHub(CreateHubRequest createHubRequest)	Create a hub.
default CreateHubContentPresignedUrlsResponse	createHubContentPresignedUrls(Consumer<CreateHubContentPresignedUrlsRequest.Builder> createHubContentPresignedUrlsRequest)	Creates presigned URLs for accessing hub content artifacts.
default CreateHubContentPresignedUrlsResponse	createHubContentPresignedUrls(CreateHubContentPresignedUrlsRequest createHubContentPresignedUrlsRequest)	Creates presigned URLs for accessing hub content artifacts.
default CreateHubContentPresignedUrlsIterable	createHubContentPresignedUrlsPaginator(Consumer<CreateHubContentPresignedUrlsRequest.Builder> createHubContentPresignedUrlsRequest)	This is a variant of createHubContentPresignedUrls(software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsRequest) operation.
default CreateHubContentPresignedUrlsIterable	createHubContentPresignedUrlsPaginator(CreateHubContentPresignedUrlsRequest createHubContentPresignedUrlsRequest)	This is a variant of createHubContentPresignedUrls(software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsRequest) operation.
default CreateHubContentReferenceResponse	createHubContentReference(Consumer<CreateHubContentReferenceRequest.Builder> createHubContentReferenceRequest)	Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.
default CreateHubContentReferenceResponse	createHubContentReference(CreateHubContentReferenceRequest createHubContentReferenceRequest)	Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.
default CreateHumanTaskUiResponse	createHumanTaskUi(Consumer<CreateHumanTaskUiRequest.Builder> createHumanTaskUiRequest)	Defines the settings you will use for the human review workflow user interface.
default CreateHumanTaskUiResponse	createHumanTaskUi(CreateHumanTaskUiRequest createHumanTaskUiRequest)	Defines the settings you will use for the human review workflow user interface.
default CreateHyperParameterTuningJobResponse	createHyperParameterTuningJob(Consumer<CreateHyperParameterTuningJobRequest.Builder> createHyperParameterTuningJobRequest)	Starts a hyperparameter tuning job.
default CreateHyperParameterTuningJobResponse	createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest)	Starts a hyperparameter tuning job.
default CreateImageResponse	createImage(Consumer<CreateImageRequest.Builder> createImageRequest)	Creates a custom SageMaker AI image.
default CreateImageResponse	createImage(CreateImageRequest createImageRequest)	Creates a custom SageMaker AI image.
default CreateImageVersionResponse	createImageVersion(Consumer<CreateImageVersionRequest.Builder> createImageVersionRequest)	Creates a version of the SageMaker AI image specified by ImageName.
default CreateImageVersionResponse	createImageVersion(CreateImageVersionRequest createImageVersionRequest)	Creates a version of the SageMaker AI image specified by ImageName.
default CreateInferenceComponentResponse	createInferenceComponent(Consumer<CreateInferenceComponentRequest.Builder> createInferenceComponentRequest)	Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint.
default CreateInferenceComponentResponse	createInferenceComponent(CreateInferenceComponentRequest createInferenceComponentRequest)	Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint.
default CreateInferenceExperimentResponse	createInferenceExperiment(Consumer<CreateInferenceExperimentRequest.Builder> createInferenceExperimentRequest)	Creates an inference experiment using the configurations specified in the request.
default CreateInferenceExperimentResponse	createInferenceExperiment(CreateInferenceExperimentRequest createInferenceExperimentRequest)	Creates an inference experiment using the configurations specified in the request.
default CreateInferenceRecommendationsJobResponse	createInferenceRecommendationsJob(Consumer<CreateInferenceRecommendationsJobRequest.Builder> createInferenceRecommendationsJobRequest)	Starts a recommendation job.
default CreateInferenceRecommendationsJobResponse	createInferenceRecommendationsJob(CreateInferenceRecommendationsJobRequest createInferenceRecommendationsJobRequest)	Starts a recommendation job.
default CreateLabelingJobResponse	createLabelingJob(Consumer<CreateLabelingJobRequest.Builder> createLabelingJobRequest)	Creates a job that uses workers to label the data objects in your input dataset.
default CreateLabelingJobResponse	createLabelingJob(CreateLabelingJobRequest createLabelingJobRequest)	Creates a job that uses workers to label the data objects in your input dataset.
default CreateMlflowTrackingServerResponse	createMlflowTrackingServer(Consumer<CreateMlflowTrackingServerRequest.Builder> createMlflowTrackingServerRequest)	Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
default CreateMlflowTrackingServerResponse	createMlflowTrackingServer(CreateMlflowTrackingServerRequest createMlflowTrackingServerRequest)	Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
default CreateModelResponse	createModel(Consumer<CreateModelRequest.Builder> createModelRequest)	Creates a model in SageMaker.
default CreateModelResponse	createModel(CreateModelRequest createModelRequest)	Creates a model in SageMaker.
default CreateModelBiasJobDefinitionResponse	createModelBiasJobDefinition(Consumer<CreateModelBiasJobDefinitionRequest.Builder> createModelBiasJobDefinitionRequest)	Creates the definition for a model bias job.
default CreateModelBiasJobDefinitionResponse	createModelBiasJobDefinition(CreateModelBiasJobDefinitionRequest createModelBiasJobDefinitionRequest)	Creates the definition for a model bias job.
default CreateModelCardResponse	createModelCard(Consumer<CreateModelCardRequest.Builder> createModelCardRequest)	Creates an Amazon SageMaker Model Card.
default CreateModelCardResponse	createModelCard(CreateModelCardRequest createModelCardRequest)	Creates an Amazon SageMaker Model Card.
default CreateModelCardExportJobResponse	createModelCardExportJob(Consumer<CreateModelCardExportJobRequest.Builder> createModelCardExportJobRequest)	Creates an Amazon SageMaker Model Card export job.
default CreateModelCardExportJobResponse	createModelCardExportJob(CreateModelCardExportJobRequest createModelCardExportJobRequest)	Creates an Amazon SageMaker Model Card export job.
default CreateModelExplainabilityJobDefinitionResponse	createModelExplainabilityJobDefinition(Consumer<CreateModelExplainabilityJobDefinitionRequest.Builder> createModelExplainabilityJobDefinitionRequest)	Creates the definition for a model explainability job.
default CreateModelExplainabilityJobDefinitionResponse	createModelExplainabilityJobDefinition(CreateModelExplainabilityJobDefinitionRequest createModelExplainabilityJobDefinitionRequest)	Creates the definition for a model explainability job.
default CreateModelPackageResponse	createModelPackage(Consumer<CreateModelPackageRequest.Builder> createModelPackageRequest)	Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group.
default CreateModelPackageResponse	createModelPackage(CreateModelPackageRequest createModelPackageRequest)	Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group.
default CreateModelPackageGroupResponse	createModelPackageGroup(Consumer<CreateModelPackageGroupRequest.Builder> createModelPackageGroupRequest)	Creates a model group.
default CreateModelPackageGroupResponse	createModelPackageGroup(CreateModelPackageGroupRequest createModelPackageGroupRequest)	Creates a model group.
default CreateModelQualityJobDefinitionResponse	createModelQualityJobDefinition(Consumer<CreateModelQualityJobDefinitionRequest.Builder> createModelQualityJobDefinitionRequest)	Creates a definition for a job that monitors model quality and drift.
default CreateModelQualityJobDefinitionResponse	createModelQualityJobDefinition(CreateModelQualityJobDefinitionRequest createModelQualityJobDefinitionRequest)	Creates a definition for a job that monitors model quality and drift.
default CreateMonitoringScheduleResponse	createMonitoringSchedule(Consumer<CreateMonitoringScheduleRequest.Builder> createMonitoringScheduleRequest)	Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.
default CreateMonitoringScheduleResponse	createMonitoringSchedule(CreateMonitoringScheduleRequest createMonitoringScheduleRequest)	Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.
default CreateNotebookInstanceResponse	createNotebookInstance(Consumer<CreateNotebookInstanceRequest.Builder> createNotebookInstanceRequest)	Creates an SageMaker AI notebook instance.
default CreateNotebookInstanceResponse	createNotebookInstance(CreateNotebookInstanceRequest createNotebookInstanceRequest)	Creates an SageMaker AI notebook instance.
default CreateNotebookInstanceLifecycleConfigResponse	createNotebookInstanceLifecycleConfig(Consumer<CreateNotebookInstanceLifecycleConfigRequest.Builder> createNotebookInstanceLifecycleConfigRequest)	Creates a lifecycle configuration that you can associate with a notebook instance.
default CreateNotebookInstanceLifecycleConfigResponse	createNotebookInstanceLifecycleConfig(CreateNotebookInstanceLifecycleConfigRequest createNotebookInstanceLifecycleConfigRequest)	Creates a lifecycle configuration that you can associate with a notebook instance.
default CreateOptimizationJobResponse	createOptimizationJob(Consumer<CreateOptimizationJobRequest.Builder> createOptimizationJobRequest)	Creates a job that optimizes a model for inference performance.
default CreateOptimizationJobResponse	createOptimizationJob(CreateOptimizationJobRequest createOptimizationJobRequest)	Creates a job that optimizes a model for inference performance.
default CreatePartnerAppResponse	createPartnerApp(Consumer<CreatePartnerAppRequest.Builder> createPartnerAppRequest)	Creates an Amazon SageMaker Partner AI App.
default CreatePartnerAppResponse	createPartnerApp(CreatePartnerAppRequest createPartnerAppRequest)	Creates an Amazon SageMaker Partner AI App.
default CreatePartnerAppPresignedUrlResponse	createPartnerAppPresignedUrl(Consumer<CreatePartnerAppPresignedUrlRequest.Builder> createPartnerAppPresignedUrlRequest)	Creates a presigned URL to access an Amazon SageMaker Partner AI App.
default CreatePartnerAppPresignedUrlResponse	createPartnerAppPresignedUrl(CreatePartnerAppPresignedUrlRequest createPartnerAppPresignedUrlRequest)	Creates a presigned URL to access an Amazon SageMaker Partner AI App.
default CreatePipelineResponse	createPipeline(Consumer<CreatePipelineRequest.Builder> createPipelineRequest)	Creates a pipeline using a JSON pipeline definition.
default CreatePipelineResponse	createPipeline(CreatePipelineRequest createPipelineRequest)	Creates a pipeline using a JSON pipeline definition.
default CreatePresignedDomainUrlResponse	createPresignedDomainUrl(Consumer<CreatePresignedDomainUrlRequest.Builder> createPresignedDomainUrlRequest)	Creates a URL for a specified UserProfile in a Domain.
default CreatePresignedDomainUrlResponse	createPresignedDomainUrl(CreatePresignedDomainUrlRequest createPresignedDomainUrlRequest)	Creates a URL for a specified UserProfile in a Domain.
default CreatePresignedMlflowTrackingServerUrlResponse	createPresignedMlflowTrackingServerUrl(Consumer<CreatePresignedMlflowTrackingServerUrlRequest.Builder> createPresignedMlflowTrackingServerUrlRequest)	Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server.
default CreatePresignedMlflowTrackingServerUrlResponse	createPresignedMlflowTrackingServerUrl(CreatePresignedMlflowTrackingServerUrlRequest createPresignedMlflowTrackingServerUrlRequest)	Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server.
default CreatePresignedNotebookInstanceUrlResponse	createPresignedNotebookInstanceUrl(Consumer<CreatePresignedNotebookInstanceUrlRequest.Builder> createPresignedNotebookInstanceUrlRequest)	Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
default CreatePresignedNotebookInstanceUrlResponse	createPresignedNotebookInstanceUrl(CreatePresignedNotebookInstanceUrlRequest createPresignedNotebookInstanceUrlRequest)	Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
default CreateProcessingJobResponse	createProcessingJob(Consumer<CreateProcessingJobRequest.Builder> createProcessingJobRequest)	Creates a processing job.
default CreateProcessingJobResponse	createProcessingJob(CreateProcessingJobRequest createProcessingJobRequest)	Creates a processing job.
default CreateProjectResponse	createProject(Consumer<CreateProjectRequest.Builder> createProjectRequest)	Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
default CreateProjectResponse	createProject(CreateProjectRequest createProjectRequest)	Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
default CreateSpaceResponse	createSpace(Consumer<CreateSpaceRequest.Builder> createSpaceRequest)	Creates a private space or a space used for real time collaboration in a domain.
default CreateSpaceResponse	createSpace(CreateSpaceRequest createSpaceRequest)	Creates a private space or a space used for real time collaboration in a domain.
default CreateStudioLifecycleConfigResponse	createStudioLifecycleConfig(Consumer<CreateStudioLifecycleConfigRequest.Builder> createStudioLifecycleConfigRequest)	Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
default CreateStudioLifecycleConfigResponse	createStudioLifecycleConfig(CreateStudioLifecycleConfigRequest createStudioLifecycleConfigRequest)	Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
default CreateTrainingJobResponse	createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest)	Starts a model training job.
default CreateTrainingJobResponse	createTrainingJob(CreateTrainingJobRequest createTrainingJobRequest)	Starts a model training job.
default CreateTrainingPlanResponse	createTrainingPlan(Consumer<CreateTrainingPlanRequest.Builder> createTrainingPlanRequest)	Creates a new training plan in SageMaker to reserve compute capacity.
default CreateTrainingPlanResponse	createTrainingPlan(CreateTrainingPlanRequest createTrainingPlanRequest)	Creates a new training plan in SageMaker to reserve compute capacity.
default CreateTransformJobResponse	createTransformJob(Consumer<CreateTransformJobRequest.Builder> createTransformJobRequest)	Starts a transform job.
default CreateTransformJobResponse	createTransformJob(CreateTransformJobRequest createTransformJobRequest)	Starts a transform job.
default CreateTrialResponse	createTrial(Consumer<CreateTrialRequest.Builder> createTrialRequest)	Creates an SageMaker trial.
default CreateTrialResponse	createTrial(CreateTrialRequest createTrialRequest)	Creates an SageMaker trial.
default CreateTrialComponentResponse	createTrialComponent(Consumer<CreateTrialComponentRequest.Builder> createTrialComponentRequest)	Creates a trial component, which is a stage of a machine learning trial.
default CreateTrialComponentResponse	createTrialComponent(CreateTrialComponentRequest createTrialComponentRequest)	Creates a trial component, which is a stage of a machine learning trial.
default CreateUserProfileResponse	createUserProfile(Consumer<CreateUserProfileRequest.Builder> createUserProfileRequest)	Creates a user profile.
default CreateUserProfileResponse	createUserProfile(CreateUserProfileRequest createUserProfileRequest)	Creates a user profile.
default CreateWorkforceResponse	createWorkforce(Consumer<CreateWorkforceRequest.Builder> createWorkforceRequest)	Use this operation to create a workforce.
default CreateWorkforceResponse	createWorkforce(CreateWorkforceRequest createWorkforceRequest)	Use this operation to create a workforce.
default CreateWorkteamResponse	createWorkteam(Consumer<CreateWorkteamRequest.Builder> createWorkteamRequest)	Creates a new work team for labeling your data.
default CreateWorkteamResponse	createWorkteam(CreateWorkteamRequest createWorkteamRequest)	Creates a new work team for labeling your data.
default DeleteActionResponse	deleteAction(Consumer<DeleteActionRequest.Builder> deleteActionRequest)	Deletes an action.
default DeleteActionResponse	deleteAction(DeleteActionRequest deleteActionRequest)	Deletes an action.
default DeleteAlgorithmResponse	deleteAlgorithm(Consumer<DeleteAlgorithmRequest.Builder> deleteAlgorithmRequest)	Removes the specified algorithm from your account.
default DeleteAlgorithmResponse	deleteAlgorithm(DeleteAlgorithmRequest deleteAlgorithmRequest)	Removes the specified algorithm from your account.
default DeleteAppResponse	deleteApp(Consumer<DeleteAppRequest.Builder> deleteAppRequest)	Used to stop and delete an app.
default DeleteAppResponse	deleteApp(DeleteAppRequest deleteAppRequest)	Used to stop and delete an app.
default DeleteAppImageConfigResponse	deleteAppImageConfig(Consumer<DeleteAppImageConfigRequest.Builder> deleteAppImageConfigRequest)	Deletes an AppImageConfig.
default DeleteAppImageConfigResponse	deleteAppImageConfig(DeleteAppImageConfigRequest deleteAppImageConfigRequest)	Deletes an AppImageConfig.
default DeleteArtifactResponse	deleteArtifact(Consumer<DeleteArtifactRequest.Builder> deleteArtifactRequest)	Deletes an artifact.
default DeleteArtifactResponse	deleteArtifact(DeleteArtifactRequest deleteArtifactRequest)	Deletes an artifact.
default DeleteAssociationResponse	deleteAssociation(Consumer<DeleteAssociationRequest.Builder> deleteAssociationRequest)	Deletes an association.
default DeleteAssociationResponse	deleteAssociation(DeleteAssociationRequest deleteAssociationRequest)	Deletes an association.
default DeleteClusterResponse	deleteCluster(Consumer<DeleteClusterRequest.Builder> deleteClusterRequest)	Delete a SageMaker HyperPod cluster.
default DeleteClusterResponse	deleteCluster(DeleteClusterRequest deleteClusterRequest)	Delete a SageMaker HyperPod cluster.
default DeleteClusterSchedulerConfigResponse	deleteClusterSchedulerConfig(Consumer<DeleteClusterSchedulerConfigRequest.Builder> deleteClusterSchedulerConfigRequest)	Deletes the cluster policy of the cluster.
default DeleteClusterSchedulerConfigResponse	deleteClusterSchedulerConfig(DeleteClusterSchedulerConfigRequest deleteClusterSchedulerConfigRequest)	Deletes the cluster policy of the cluster.
default DeleteCodeRepositoryResponse	deleteCodeRepository(Consumer<DeleteCodeRepositoryRequest.Builder> deleteCodeRepositoryRequest)	Deletes the specified Git repository from your account.
default DeleteCodeRepositoryResponse	deleteCodeRepository(DeleteCodeRepositoryRequest deleteCodeRepositoryRequest)	Deletes the specified Git repository from your account.
default DeleteCompilationJobResponse	deleteCompilationJob(Consumer<DeleteCompilationJobRequest.Builder> deleteCompilationJobRequest)	Deletes the specified compilation job.
default DeleteCompilationJobResponse	deleteCompilationJob(DeleteCompilationJobRequest deleteCompilationJobRequest)	Deletes the specified compilation job.
default DeleteComputeQuotaResponse	deleteComputeQuota(Consumer<DeleteComputeQuotaRequest.Builder> deleteComputeQuotaRequest)	Deletes the compute allocation from the cluster.
default DeleteComputeQuotaResponse	deleteComputeQuota(DeleteComputeQuotaRequest deleteComputeQuotaRequest)	Deletes the compute allocation from the cluster.
default DeleteContextResponse	deleteContext(Consumer<DeleteContextRequest.Builder> deleteContextRequest)	Deletes an context.
default DeleteContextResponse	deleteContext(DeleteContextRequest deleteContextRequest)	Deletes an context.
default DeleteDataQualityJobDefinitionResponse	deleteDataQualityJobDefinition(Consumer<DeleteDataQualityJobDefinitionRequest.Builder> deleteDataQualityJobDefinitionRequest)	Deletes a data quality monitoring job definition.
default DeleteDataQualityJobDefinitionResponse	deleteDataQualityJobDefinition(DeleteDataQualityJobDefinitionRequest deleteDataQualityJobDefinitionRequest)	Deletes a data quality monitoring job definition.
default DeleteDeviceFleetResponse	deleteDeviceFleet(Consumer<DeleteDeviceFleetRequest.Builder> deleteDeviceFleetRequest)	Deletes a fleet.
default DeleteDeviceFleetResponse	deleteDeviceFleet(DeleteDeviceFleetRequest deleteDeviceFleetRequest)	Deletes a fleet.
default DeleteDomainResponse	deleteDomain(Consumer<DeleteDomainRequest.Builder> deleteDomainRequest)	Used to delete a domain.
default DeleteDomainResponse	deleteDomain(DeleteDomainRequest deleteDomainRequest)	Used to delete a domain.
default DeleteEdgeDeploymentPlanResponse	deleteEdgeDeploymentPlan(Consumer<DeleteEdgeDeploymentPlanRequest.Builder> deleteEdgeDeploymentPlanRequest)	Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
default DeleteEdgeDeploymentPlanResponse	deleteEdgeDeploymentPlan(DeleteEdgeDeploymentPlanRequest deleteEdgeDeploymentPlanRequest)	Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
default DeleteEdgeDeploymentStageResponse	deleteEdgeDeploymentStage(Consumer<DeleteEdgeDeploymentStageRequest.Builder> deleteEdgeDeploymentStageRequest)	Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
default DeleteEdgeDeploymentStageResponse	deleteEdgeDeploymentStage(DeleteEdgeDeploymentStageRequest deleteEdgeDeploymentStageRequest)	Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
default DeleteEndpointResponse	deleteEndpoint(Consumer<DeleteEndpointRequest.Builder> deleteEndpointRequest)	Deletes an endpoint.
default DeleteEndpointResponse	deleteEndpoint(DeleteEndpointRequest deleteEndpointRequest)	Deletes an endpoint.
default DeleteEndpointConfigResponse	deleteEndpointConfig(Consumer<DeleteEndpointConfigRequest.Builder> deleteEndpointConfigRequest)	Deletes an endpoint configuration.
default DeleteEndpointConfigResponse	deleteEndpointConfig(DeleteEndpointConfigRequest deleteEndpointConfigRequest)	Deletes an endpoint configuration.
default DeleteExperimentResponse	deleteExperiment(Consumer<DeleteExperimentRequest.Builder> deleteExperimentRequest)	Deletes an SageMaker experiment.
default DeleteExperimentResponse	deleteExperiment(DeleteExperimentRequest deleteExperimentRequest)	Deletes an SageMaker experiment.
default DeleteFeatureGroupResponse	deleteFeatureGroup(Consumer<DeleteFeatureGroupRequest.Builder> deleteFeatureGroupRequest)	Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup.
default DeleteFeatureGroupResponse	deleteFeatureGroup(DeleteFeatureGroupRequest deleteFeatureGroupRequest)	Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup.
default DeleteFlowDefinitionResponse	deleteFlowDefinition(Consumer<DeleteFlowDefinitionRequest.Builder> deleteFlowDefinitionRequest)	Deletes the specified flow definition.
default DeleteFlowDefinitionResponse	deleteFlowDefinition(DeleteFlowDefinitionRequest deleteFlowDefinitionRequest)	Deletes the specified flow definition.
default DeleteHubResponse	deleteHub(Consumer<DeleteHubRequest.Builder> deleteHubRequest)	Delete a hub.
default DeleteHubResponse	deleteHub(DeleteHubRequest deleteHubRequest)	Delete a hub.
default DeleteHubContentResponse	deleteHubContent(Consumer<DeleteHubContentRequest.Builder> deleteHubContentRequest)	Delete the contents of a hub.
default DeleteHubContentResponse	deleteHubContent(DeleteHubContentRequest deleteHubContentRequest)	Delete the contents of a hub.
default DeleteHubContentReferenceResponse	deleteHubContentReference(Consumer<DeleteHubContentReferenceRequest.Builder> deleteHubContentReferenceRequest)	Delete a hub content reference in order to remove a model from a private hub.
default DeleteHubContentReferenceResponse	deleteHubContentReference(DeleteHubContentReferenceRequest deleteHubContentReferenceRequest)	Delete a hub content reference in order to remove a model from a private hub.
default DeleteHumanTaskUiResponse	deleteHumanTaskUi(Consumer<DeleteHumanTaskUiRequest.Builder> deleteHumanTaskUiRequest)	Use this operation to delete a human task user interface (worker task template).
default DeleteHumanTaskUiResponse	deleteHumanTaskUi(DeleteHumanTaskUiRequest deleteHumanTaskUiRequest)	Use this operation to delete a human task user interface (worker task template).
default DeleteHyperParameterTuningJobResponse	deleteHyperParameterTuningJob(Consumer<DeleteHyperParameterTuningJobRequest.Builder> deleteHyperParameterTuningJobRequest)	Deletes a hyperparameter tuning job.
default DeleteHyperParameterTuningJobResponse	deleteHyperParameterTuningJob(DeleteHyperParameterTuningJobRequest deleteHyperParameterTuningJobRequest)	Deletes a hyperparameter tuning job.
default DeleteImageResponse	deleteImage(Consumer<DeleteImageRequest.Builder> deleteImageRequest)	Deletes a SageMaker AI image and all versions of the image.
default DeleteImageResponse	deleteImage(DeleteImageRequest deleteImageRequest)	Deletes a SageMaker AI image and all versions of the image.
default DeleteImageVersionResponse	deleteImageVersion(Consumer<DeleteImageVersionRequest.Builder> deleteImageVersionRequest)	Deletes a version of a SageMaker AI image.
default DeleteImageVersionResponse	deleteImageVersion(DeleteImageVersionRequest deleteImageVersionRequest)	Deletes a version of a SageMaker AI image.
default DeleteInferenceComponentResponse	deleteInferenceComponent(Consumer<DeleteInferenceComponentRequest.Builder> deleteInferenceComponentRequest)	Deletes an inference component.
default DeleteInferenceComponentResponse	deleteInferenceComponent(DeleteInferenceComponentRequest deleteInferenceComponentRequest)	Deletes an inference component.
default DeleteInferenceExperimentResponse	deleteInferenceExperiment(Consumer<DeleteInferenceExperimentRequest.Builder> deleteInferenceExperimentRequest)	Deletes an inference experiment.
default DeleteInferenceExperimentResponse	deleteInferenceExperiment(DeleteInferenceExperimentRequest deleteInferenceExperimentRequest)	Deletes an inference experiment.
default DeleteMlflowTrackingServerResponse	deleteMlflowTrackingServer(Consumer<DeleteMlflowTrackingServerRequest.Builder> deleteMlflowTrackingServerRequest)	Deletes an MLflow Tracking Server.
default DeleteMlflowTrackingServerResponse	deleteMlflowTrackingServer(DeleteMlflowTrackingServerRequest deleteMlflowTrackingServerRequest)	Deletes an MLflow Tracking Server.
default DeleteModelResponse	deleteModel(Consumer<DeleteModelRequest.Builder> deleteModelRequest)	Deletes a model.
default DeleteModelResponse	deleteModel(DeleteModelRequest deleteModelRequest)	Deletes a model.
default DeleteModelBiasJobDefinitionResponse	deleteModelBiasJobDefinition(Consumer<DeleteModelBiasJobDefinitionRequest.Builder> deleteModelBiasJobDefinitionRequest)	Deletes an Amazon SageMaker AI model bias job definition.
default DeleteModelBiasJobDefinitionResponse	deleteModelBiasJobDefinition(DeleteModelBiasJobDefinitionRequest deleteModelBiasJobDefinitionRequest)	Deletes an Amazon SageMaker AI model bias job definition.
default DeleteModelCardResponse	deleteModelCard(Consumer<DeleteModelCardRequest.Builder> deleteModelCardRequest)	Deletes an Amazon SageMaker Model Card.
default DeleteModelCardResponse	deleteModelCard(DeleteModelCardRequest deleteModelCardRequest)	Deletes an Amazon SageMaker Model Card.
default DeleteModelExplainabilityJobDefinitionResponse	deleteModelExplainabilityJobDefinition(Consumer<DeleteModelExplainabilityJobDefinitionRequest.Builder> deleteModelExplainabilityJobDefinitionRequest)	Deletes an Amazon SageMaker AI model explainability job definition.
default DeleteModelExplainabilityJobDefinitionResponse	deleteModelExplainabilityJobDefinition(DeleteModelExplainabilityJobDefinitionRequest deleteModelExplainabilityJobDefinitionRequest)	Deletes an Amazon SageMaker AI model explainability job definition.
default DeleteModelPackageResponse	deleteModelPackage(Consumer<DeleteModelPackageRequest.Builder> deleteModelPackageRequest)	Deletes a model package.
default DeleteModelPackageResponse	deleteModelPackage(DeleteModelPackageRequest deleteModelPackageRequest)	Deletes a model package.
default DeleteModelPackageGroupResponse	deleteModelPackageGroup(Consumer<DeleteModelPackageGroupRequest.Builder> deleteModelPackageGroupRequest)	Deletes the specified model group.
default DeleteModelPackageGroupResponse	deleteModelPackageGroup(DeleteModelPackageGroupRequest deleteModelPackageGroupRequest)	Deletes the specified model group.
default DeleteModelPackageGroupPolicyResponse	deleteModelPackageGroupPolicy(Consumer<DeleteModelPackageGroupPolicyRequest.Builder> deleteModelPackageGroupPolicyRequest)	Deletes a model group resource policy.
default DeleteModelPackageGroupPolicyResponse	deleteModelPackageGroupPolicy(DeleteModelPackageGroupPolicyRequest deleteModelPackageGroupPolicyRequest)	Deletes a model group resource policy.
default DeleteModelQualityJobDefinitionResponse	deleteModelQualityJobDefinition(Consumer<DeleteModelQualityJobDefinitionRequest.Builder> deleteModelQualityJobDefinitionRequest)	Deletes the secified model quality monitoring job definition.
default DeleteModelQualityJobDefinitionResponse	deleteModelQualityJobDefinition(DeleteModelQualityJobDefinitionRequest deleteModelQualityJobDefinitionRequest)	Deletes the secified model quality monitoring job definition.
default DeleteMonitoringScheduleResponse	deleteMonitoringSchedule(Consumer<DeleteMonitoringScheduleRequest.Builder> deleteMonitoringScheduleRequest)	Deletes a monitoring schedule.
default DeleteMonitoringScheduleResponse	deleteMonitoringSchedule(DeleteMonitoringScheduleRequest deleteMonitoringScheduleRequest)	Deletes a monitoring schedule.
default DeleteNotebookInstanceResponse	deleteNotebookInstance(Consumer<DeleteNotebookInstanceRequest.Builder> deleteNotebookInstanceRequest)	Deletes an SageMaker AI notebook instance.
default DeleteNotebookInstanceResponse	deleteNotebookInstance(DeleteNotebookInstanceRequest deleteNotebookInstanceRequest)	Deletes an SageMaker AI notebook instance.
default DeleteNotebookInstanceLifecycleConfigResponse	deleteNotebookInstanceLifecycleConfig(Consumer<DeleteNotebookInstanceLifecycleConfigRequest.Builder> deleteNotebookInstanceLifecycleConfigRequest)	Deletes a notebook instance lifecycle configuration.
default DeleteNotebookInstanceLifecycleConfigResponse	deleteNotebookInstanceLifecycleConfig(DeleteNotebookInstanceLifecycleConfigRequest deleteNotebookInstanceLifecycleConfigRequest)	Deletes a notebook instance lifecycle configuration.
default DeleteOptimizationJobResponse	deleteOptimizationJob(Consumer<DeleteOptimizationJobRequest.Builder> deleteOptimizationJobRequest)	Deletes an optimization job.
default DeleteOptimizationJobResponse	deleteOptimizationJob(DeleteOptimizationJobRequest deleteOptimizationJobRequest)	Deletes an optimization job.
default DeletePartnerAppResponse	deletePartnerApp(Consumer<DeletePartnerAppRequest.Builder> deletePartnerAppRequest)	Deletes a SageMaker Partner AI App.
default DeletePartnerAppResponse	deletePartnerApp(DeletePartnerAppRequest deletePartnerAppRequest)	Deletes a SageMaker Partner AI App.
default DeletePipelineResponse	deletePipeline(Consumer<DeletePipelineRequest.Builder> deletePipelineRequest)	Deletes a pipeline if there are no running instances of the pipeline.
default DeletePipelineResponse	deletePipeline(DeletePipelineRequest deletePipelineRequest)	Deletes a pipeline if there are no running instances of the pipeline.
default DeleteProcessingJobResponse	deleteProcessingJob(Consumer<DeleteProcessingJobRequest.Builder> deleteProcessingJobRequest)	Deletes a processing job.
default DeleteProcessingJobResponse	deleteProcessingJob(DeleteProcessingJobRequest deleteProcessingJobRequest)	Deletes a processing job.
default DeleteProjectResponse	deleteProject(Consumer<DeleteProjectRequest.Builder> deleteProjectRequest)	Delete the specified project.
default DeleteProjectResponse	deleteProject(DeleteProjectRequest deleteProjectRequest)	Delete the specified project.
default DeleteSpaceResponse	deleteSpace(Consumer<DeleteSpaceRequest.Builder> deleteSpaceRequest)	Used to delete a space.
default DeleteSpaceResponse	deleteSpace(DeleteSpaceRequest deleteSpaceRequest)	Used to delete a space.
default DeleteStudioLifecycleConfigResponse	deleteStudioLifecycleConfig(Consumer<DeleteStudioLifecycleConfigRequest.Builder> deleteStudioLifecycleConfigRequest)	Deletes the Amazon SageMaker AI Studio Lifecycle Configuration.
default DeleteStudioLifecycleConfigResponse	deleteStudioLifecycleConfig(DeleteStudioLifecycleConfigRequest deleteStudioLifecycleConfigRequest)	Deletes the Amazon SageMaker AI Studio Lifecycle Configuration.
default DeleteTagsResponse	deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)	Deletes the specified tags from an SageMaker resource.
default DeleteTagsResponse	deleteTags(DeleteTagsRequest deleteTagsRequest)	Deletes the specified tags from an SageMaker resource.
default DeleteTrainingJobResponse	deleteTrainingJob(Consumer<DeleteTrainingJobRequest.Builder> deleteTrainingJobRequest)	Deletes a training job.
default DeleteTrainingJobResponse	deleteTrainingJob(DeleteTrainingJobRequest deleteTrainingJobRequest)	Deletes a training job.
default DeleteTrialResponse	deleteTrial(Consumer<DeleteTrialRequest.Builder> deleteTrialRequest)	Deletes the specified trial.
default DeleteTrialResponse	deleteTrial(DeleteTrialRequest deleteTrialRequest)	Deletes the specified trial.
default DeleteTrialComponentResponse	deleteTrialComponent(Consumer<DeleteTrialComponentRequest.Builder> deleteTrialComponentRequest)	Deletes the specified trial component.
default DeleteTrialComponentResponse	deleteTrialComponent(DeleteTrialComponentRequest deleteTrialComponentRequest)	Deletes the specified trial component.
default DeleteUserProfileResponse	deleteUserProfile(Consumer<DeleteUserProfileRequest.Builder> deleteUserProfileRequest)	Deletes a user profile.
default DeleteUserProfileResponse	deleteUserProfile(DeleteUserProfileRequest deleteUserProfileRequest)	Deletes a user profile.
default DeleteWorkforceResponse	deleteWorkforce(Consumer<DeleteWorkforceRequest.Builder> deleteWorkforceRequest)	Use this operation to delete a workforce.
default DeleteWorkforceResponse	deleteWorkforce(DeleteWorkforceRequest deleteWorkforceRequest)	Use this operation to delete a workforce.
default DeleteWorkteamResponse	deleteWorkteam(Consumer<DeleteWorkteamRequest.Builder> deleteWorkteamRequest)	Deletes an existing work team.
default DeleteWorkteamResponse	deleteWorkteam(DeleteWorkteamRequest deleteWorkteamRequest)	Deletes an existing work team.
default DeregisterDevicesResponse	deregisterDevices(Consumer<DeregisterDevicesRequest.Builder> deregisterDevicesRequest)	Deregisters the specified devices.
default DeregisterDevicesResponse	deregisterDevices(DeregisterDevicesRequest deregisterDevicesRequest)	Deregisters the specified devices.
default DescribeActionResponse	describeAction(Consumer<DescribeActionRequest.Builder> describeActionRequest)	Describes an action.
default DescribeActionResponse	describeAction(DescribeActionRequest describeActionRequest)	Describes an action.
default DescribeAlgorithmResponse	describeAlgorithm(Consumer<DescribeAlgorithmRequest.Builder> describeAlgorithmRequest)	Returns a description of the specified algorithm that is in your account.
default DescribeAlgorithmResponse	describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)	Returns a description of the specified algorithm that is in your account.
default DescribeAppResponse	describeApp(Consumer<DescribeAppRequest.Builder> describeAppRequest)	Describes the app.
default DescribeAppResponse	describeApp(DescribeAppRequest describeAppRequest)	Describes the app.
default DescribeAppImageConfigResponse	describeAppImageConfig(Consumer<DescribeAppImageConfigRequest.Builder> describeAppImageConfigRequest)	Describes an AppImageConfig.
default DescribeAppImageConfigResponse	describeAppImageConfig(DescribeAppImageConfigRequest describeAppImageConfigRequest)	Describes an AppImageConfig.
default DescribeArtifactResponse	describeArtifact(Consumer<DescribeArtifactRequest.Builder> describeArtifactRequest)	Describes an artifact.
default DescribeArtifactResponse	describeArtifact(DescribeArtifactRequest describeArtifactRequest)	Describes an artifact.
default DescribeAutoMlJobResponse	describeAutoMLJob(Consumer<DescribeAutoMlJobRequest.Builder> describeAutoMlJobRequest)	Returns information about an AutoML job created by calling CreateAutoMLJob.
default DescribeAutoMlJobResponse	describeAutoMLJob(DescribeAutoMlJobRequest describeAutoMlJobRequest)	Returns information about an AutoML job created by calling CreateAutoMLJob.
default DescribeAutoMlJobV2Response	describeAutoMLJobV2(Consumer<DescribeAutoMlJobV2Request.Builder> describeAutoMlJobV2Request)	Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
default DescribeAutoMlJobV2Response	describeAutoMLJobV2(DescribeAutoMlJobV2Request describeAutoMlJobV2Request)	Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
default DescribeClusterResponse	describeCluster(Consumer<DescribeClusterRequest.Builder> describeClusterRequest)	Retrieves information of a SageMaker HyperPod cluster.
default DescribeClusterResponse	describeCluster(DescribeClusterRequest describeClusterRequest)	Retrieves information of a SageMaker HyperPod cluster.
default DescribeClusterEventResponse	describeClusterEvent(Consumer<DescribeClusterEventRequest.Builder> describeClusterEventRequest)	Retrieves detailed information about a specific event for a given HyperPod cluster.
default DescribeClusterEventResponse	describeClusterEvent(DescribeClusterEventRequest describeClusterEventRequest)	Retrieves detailed information about a specific event for a given HyperPod cluster.
default DescribeClusterNodeResponse	describeClusterNode(Consumer<DescribeClusterNodeRequest.Builder> describeClusterNodeRequest)	Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
default DescribeClusterNodeResponse	describeClusterNode(DescribeClusterNodeRequest describeClusterNodeRequest)	Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
default DescribeClusterSchedulerConfigResponse	describeClusterSchedulerConfig(Consumer<DescribeClusterSchedulerConfigRequest.Builder> describeClusterSchedulerConfigRequest)	Description of the cluster policy.
default DescribeClusterSchedulerConfigResponse	describeClusterSchedulerConfig(DescribeClusterSchedulerConfigRequest describeClusterSchedulerConfigRequest)	Description of the cluster policy.
default DescribeCodeRepositoryResponse	describeCodeRepository(Consumer<DescribeCodeRepositoryRequest.Builder> describeCodeRepositoryRequest)	Gets details about the specified Git repository.
default DescribeCodeRepositoryResponse	describeCodeRepository(DescribeCodeRepositoryRequest describeCodeRepositoryRequest)	Gets details about the specified Git repository.
default DescribeCompilationJobResponse	describeCompilationJob(Consumer<DescribeCompilationJobRequest.Builder> describeCompilationJobRequest)	Returns information about a model compilation job.
default DescribeCompilationJobResponse	describeCompilationJob(DescribeCompilationJobRequest describeCompilationJobRequest)	Returns information about a model compilation job.
default DescribeComputeQuotaResponse	describeComputeQuota(Consumer<DescribeComputeQuotaRequest.Builder> describeComputeQuotaRequest)	Description of the compute allocation definition.
default DescribeComputeQuotaResponse	describeComputeQuota(DescribeComputeQuotaRequest describeComputeQuotaRequest)	Description of the compute allocation definition.
default DescribeContextResponse	describeContext(Consumer<DescribeContextRequest.Builder> describeContextRequest)	Describes a context.
default DescribeContextResponse	describeContext(DescribeContextRequest describeContextRequest)	Describes a context.
default DescribeDataQualityJobDefinitionResponse	describeDataQualityJobDefinition(Consumer<DescribeDataQualityJobDefinitionRequest.Builder> describeDataQualityJobDefinitionRequest)	Gets the details of a data quality monitoring job definition.
default DescribeDataQualityJobDefinitionResponse	describeDataQualityJobDefinition(DescribeDataQualityJobDefinitionRequest describeDataQualityJobDefinitionRequest)	Gets the details of a data quality monitoring job definition.
default DescribeDeviceResponse	describeDevice(Consumer<DescribeDeviceRequest.Builder> describeDeviceRequest)	Describes the device.
default DescribeDeviceResponse	describeDevice(DescribeDeviceRequest describeDeviceRequest)	Describes the device.
default DescribeDeviceFleetResponse	describeDeviceFleet(Consumer<DescribeDeviceFleetRequest.Builder> describeDeviceFleetRequest)	A description of the fleet the device belongs to.
default DescribeDeviceFleetResponse	describeDeviceFleet(DescribeDeviceFleetRequest describeDeviceFleetRequest)	A description of the fleet the device belongs to.
default DescribeDomainResponse	describeDomain(Consumer<DescribeDomainRequest.Builder> describeDomainRequest)	The description of the domain.
default DescribeDomainResponse	describeDomain(DescribeDomainRequest describeDomainRequest)	The description of the domain.
default DescribeEdgeDeploymentPlanResponse	describeEdgeDeploymentPlan(Consumer<DescribeEdgeDeploymentPlanRequest.Builder> describeEdgeDeploymentPlanRequest)	Describes an edge deployment plan with deployment status per stage.
default DescribeEdgeDeploymentPlanResponse	describeEdgeDeploymentPlan(DescribeEdgeDeploymentPlanRequest describeEdgeDeploymentPlanRequest)	Describes an edge deployment plan with deployment status per stage.
default DescribeEdgePackagingJobResponse	describeEdgePackagingJob(Consumer<DescribeEdgePackagingJobRequest.Builder> describeEdgePackagingJobRequest)	A description of edge packaging jobs.
default DescribeEdgePackagingJobResponse	describeEdgePackagingJob(DescribeEdgePackagingJobRequest describeEdgePackagingJobRequest)	A description of edge packaging jobs.
default DescribeEndpointResponse	describeEndpoint(Consumer<DescribeEndpointRequest.Builder> describeEndpointRequest)	Returns the description of an endpoint.
default DescribeEndpointResponse	describeEndpoint(DescribeEndpointRequest describeEndpointRequest)	Returns the description of an endpoint.
default DescribeEndpointConfigResponse	describeEndpointConfig(Consumer<DescribeEndpointConfigRequest.Builder> describeEndpointConfigRequest)	Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
default DescribeEndpointConfigResponse	describeEndpointConfig(DescribeEndpointConfigRequest describeEndpointConfigRequest)	Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
default DescribeExperimentResponse	describeExperiment(Consumer<DescribeExperimentRequest.Builder> describeExperimentRequest)	Provides a list of an experiment's properties.
default DescribeExperimentResponse	describeExperiment(DescribeExperimentRequest describeExperimentRequest)	Provides a list of an experiment's properties.
default DescribeFeatureGroupResponse	describeFeatureGroup(Consumer<DescribeFeatureGroupRequest.Builder> describeFeatureGroupRequest)	Use this operation to describe a FeatureGroup.
default DescribeFeatureGroupResponse	describeFeatureGroup(DescribeFeatureGroupRequest describeFeatureGroupRequest)	Use this operation to describe a FeatureGroup.
default DescribeFeatureMetadataResponse	describeFeatureMetadata(Consumer<DescribeFeatureMetadataRequest.Builder> describeFeatureMetadataRequest)	Shows the metadata for a feature within a feature group.
default DescribeFeatureMetadataResponse	describeFeatureMetadata(DescribeFeatureMetadataRequest describeFeatureMetadataRequest)	Shows the metadata for a feature within a feature group.
default DescribeFlowDefinitionResponse	describeFlowDefinition(Consumer<DescribeFlowDefinitionRequest.Builder> describeFlowDefinitionRequest)	Returns information about the specified flow definition.
default DescribeFlowDefinitionResponse	describeFlowDefinition(DescribeFlowDefinitionRequest describeFlowDefinitionRequest)	Returns information about the specified flow definition.
default DescribeHubResponse	describeHub(Consumer<DescribeHubRequest.Builder> describeHubRequest)	Describes a hub.
default DescribeHubResponse	describeHub(DescribeHubRequest describeHubRequest)	Describes a hub.
default DescribeHubContentResponse	describeHubContent(Consumer<DescribeHubContentRequest.Builder> describeHubContentRequest)	Describe the content of a hub.
default DescribeHubContentResponse	describeHubContent(DescribeHubContentRequest describeHubContentRequest)	Describe the content of a hub.
default DescribeHumanTaskUiResponse	describeHumanTaskUi(Consumer<DescribeHumanTaskUiRequest.Builder> describeHumanTaskUiRequest)	Returns information about the requested human task user interface (worker task template).
default DescribeHumanTaskUiResponse	describeHumanTaskUi(DescribeHumanTaskUiRequest describeHumanTaskUiRequest)	Returns information about the requested human task user interface (worker task template).
default DescribeHyperParameterTuningJobResponse	describeHyperParameterTuningJob(Consumer<DescribeHyperParameterTuningJobRequest.Builder> describeHyperParameterTuningJobRequest)	Returns a description of a hyperparameter tuning job, depending on the fields selected.
default DescribeHyperParameterTuningJobResponse	describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest)	Returns a description of a hyperparameter tuning job, depending on the fields selected.
default DescribeImageResponse	describeImage(Consumer<DescribeImageRequest.Builder> describeImageRequest)	Describes a SageMaker AI image.
default DescribeImageResponse	describeImage(DescribeImageRequest describeImageRequest)	Describes a SageMaker AI image.
default DescribeImageVersionResponse	describeImageVersion(Consumer<DescribeImageVersionRequest.Builder> describeImageVersionRequest)	Describes a version of a SageMaker AI image.
default DescribeImageVersionResponse	describeImageVersion(DescribeImageVersionRequest describeImageVersionRequest)	Describes a version of a SageMaker AI image.
default DescribeInferenceComponentResponse	describeInferenceComponent(Consumer<DescribeInferenceComponentRequest.Builder> describeInferenceComponentRequest)	Returns information about an inference component.
default DescribeInferenceComponentResponse	describeInferenceComponent(DescribeInferenceComponentRequest describeInferenceComponentRequest)	Returns information about an inference component.
default DescribeInferenceExperimentResponse	describeInferenceExperiment(Consumer<DescribeInferenceExperimentRequest.Builder> describeInferenceExperimentRequest)	Returns details about an inference experiment.
default DescribeInferenceExperimentResponse	describeInferenceExperiment(DescribeInferenceExperimentRequest describeInferenceExperimentRequest)	Returns details about an inference experiment.
default DescribeInferenceRecommendationsJobResponse	describeInferenceRecommendationsJob(Consumer<DescribeInferenceRecommendationsJobRequest.Builder> describeInferenceRecommendationsJobRequest)	Provides the results of the Inference Recommender job.
default DescribeInferenceRecommendationsJobResponse	describeInferenceRecommendationsJob(DescribeInferenceRecommendationsJobRequest describeInferenceRecommendationsJobRequest)	Provides the results of the Inference Recommender job.
default DescribeLabelingJobResponse	describeLabelingJob(Consumer<DescribeLabelingJobRequest.Builder> describeLabelingJobRequest)	Gets information about a labeling job.
default DescribeLabelingJobResponse	describeLabelingJob(DescribeLabelingJobRequest describeLabelingJobRequest)	Gets information about a labeling job.
default DescribeLineageGroupResponse	describeLineageGroup(Consumer<DescribeLineageGroupRequest.Builder> describeLineageGroupRequest)	Provides a list of properties for the requested lineage group.
default DescribeLineageGroupResponse	describeLineageGroup(DescribeLineageGroupRequest describeLineageGroupRequest)	Provides a list of properties for the requested lineage group.
default DescribeMlflowTrackingServerResponse	describeMlflowTrackingServer(Consumer<DescribeMlflowTrackingServerRequest.Builder> describeMlflowTrackingServerRequest)	Returns information about an MLflow Tracking Server.
default DescribeMlflowTrackingServerResponse	describeMlflowTrackingServer(DescribeMlflowTrackingServerRequest describeMlflowTrackingServerRequest)	Returns information about an MLflow Tracking Server.
default DescribeModelResponse	describeModel(Consumer<DescribeModelRequest.Builder> describeModelRequest)	Describes a model that you created using the CreateModel API.
default DescribeModelResponse	describeModel(DescribeModelRequest describeModelRequest)	Describes a model that you created using the CreateModel API.
default DescribeModelBiasJobDefinitionResponse	describeModelBiasJobDefinition(Consumer<DescribeModelBiasJobDefinitionRequest.Builder> describeModelBiasJobDefinitionRequest)	Returns a description of a model bias job definition.
default DescribeModelBiasJobDefinitionResponse	describeModelBiasJobDefinition(DescribeModelBiasJobDefinitionRequest describeModelBiasJobDefinitionRequest)	Returns a description of a model bias job definition.
default DescribeModelCardResponse	describeModelCard(Consumer<DescribeModelCardRequest.Builder> describeModelCardRequest)	Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
default DescribeModelCardResponse	describeModelCard(DescribeModelCardRequest describeModelCardRequest)	Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
default DescribeModelCardExportJobResponse	describeModelCardExportJob(Consumer<DescribeModelCardExportJobRequest.Builder> describeModelCardExportJobRequest)	Describes an Amazon SageMaker Model Card export job.
default DescribeModelCardExportJobResponse	describeModelCardExportJob(DescribeModelCardExportJobRequest describeModelCardExportJobRequest)	Describes an Amazon SageMaker Model Card export job.
default DescribeModelExplainabilityJobDefinitionResponse	describeModelExplainabilityJobDefinition(Consumer<DescribeModelExplainabilityJobDefinitionRequest.Builder> describeModelExplainabilityJobDefinitionRequest)	Returns a description of a model explainability job definition.
default DescribeModelExplainabilityJobDefinitionResponse	describeModelExplainabilityJobDefinition(DescribeModelExplainabilityJobDefinitionRequest describeModelExplainabilityJobDefinitionRequest)	Returns a description of a model explainability job definition.
default DescribeModelPackageResponse	describeModelPackage(Consumer<DescribeModelPackageRequest.Builder> describeModelPackageRequest)	Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
default DescribeModelPackageResponse	describeModelPackage(DescribeModelPackageRequest describeModelPackageRequest)	Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
default DescribeModelPackageGroupResponse	describeModelPackageGroup(Consumer<DescribeModelPackageGroupRequest.Builder> describeModelPackageGroupRequest)	Gets a description for the specified model group.
default DescribeModelPackageGroupResponse	describeModelPackageGroup(DescribeModelPackageGroupRequest describeModelPackageGroupRequest)	Gets a description for the specified model group.
default DescribeModelQualityJobDefinitionResponse	describeModelQualityJobDefinition(Consumer<DescribeModelQualityJobDefinitionRequest.Builder> describeModelQualityJobDefinitionRequest)	Returns a description of a model quality job definition.
default DescribeModelQualityJobDefinitionResponse	describeModelQualityJobDefinition(DescribeModelQualityJobDefinitionRequest describeModelQualityJobDefinitionRequest)	Returns a description of a model quality job definition.
default DescribeMonitoringScheduleResponse	describeMonitoringSchedule(Consumer<DescribeMonitoringScheduleRequest.Builder> describeMonitoringScheduleRequest)	Describes the schedule for a monitoring job.
default DescribeMonitoringScheduleResponse	describeMonitoringSchedule(DescribeMonitoringScheduleRequest describeMonitoringScheduleRequest)	Describes the schedule for a monitoring job.
default DescribeNotebookInstanceResponse	describeNotebookInstance(Consumer<DescribeNotebookInstanceRequest.Builder> describeNotebookInstanceRequest)	Returns information about a notebook instance.
default DescribeNotebookInstanceResponse	describeNotebookInstance(DescribeNotebookInstanceRequest describeNotebookInstanceRequest)	Returns information about a notebook instance.
default DescribeNotebookInstanceLifecycleConfigResponse	describeNotebookInstanceLifecycleConfig(Consumer<DescribeNotebookInstanceLifecycleConfigRequest.Builder> describeNotebookInstanceLifecycleConfigRequest)	Returns a description of a notebook instance lifecycle configuration.
default DescribeNotebookInstanceLifecycleConfigResponse	describeNotebookInstanceLifecycleConfig(DescribeNotebookInstanceLifecycleConfigRequest describeNotebookInstanceLifecycleConfigRequest)	Returns a description of a notebook instance lifecycle configuration.
default DescribeOptimizationJobResponse	describeOptimizationJob(Consumer<DescribeOptimizationJobRequest.Builder> describeOptimizationJobRequest)	Provides the properties of the specified optimization job.
default DescribeOptimizationJobResponse	describeOptimizationJob(DescribeOptimizationJobRequest describeOptimizationJobRequest)	Provides the properties of the specified optimization job.
default DescribePartnerAppResponse	describePartnerApp(Consumer<DescribePartnerAppRequest.Builder> describePartnerAppRequest)	Gets information about a SageMaker Partner AI App.
default DescribePartnerAppResponse	describePartnerApp(DescribePartnerAppRequest describePartnerAppRequest)	Gets information about a SageMaker Partner AI App.
default DescribePipelineResponse	describePipeline(Consumer<DescribePipelineRequest.Builder> describePipelineRequest)	Describes the details of a pipeline.
default DescribePipelineResponse	describePipeline(DescribePipelineRequest describePipelineRequest)	Describes the details of a pipeline.
default DescribePipelineDefinitionForExecutionResponse	describePipelineDefinitionForExecution(Consumer<DescribePipelineDefinitionForExecutionRequest.Builder> describePipelineDefinitionForExecutionRequest)	Describes the details of an execution's pipeline definition.
default DescribePipelineDefinitionForExecutionResponse	describePipelineDefinitionForExecution(DescribePipelineDefinitionForExecutionRequest describePipelineDefinitionForExecutionRequest)	Describes the details of an execution's pipeline definition.
default DescribePipelineExecutionResponse	describePipelineExecution(Consumer<DescribePipelineExecutionRequest.Builder> describePipelineExecutionRequest)	Describes the details of a pipeline execution.
default DescribePipelineExecutionResponse	describePipelineExecution(DescribePipelineExecutionRequest describePipelineExecutionRequest)	Describes the details of a pipeline execution.
default DescribeProcessingJobResponse	describeProcessingJob(Consumer<DescribeProcessingJobRequest.Builder> describeProcessingJobRequest)	Returns a description of a processing job.
default DescribeProcessingJobResponse	describeProcessingJob(DescribeProcessingJobRequest describeProcessingJobRequest)	Returns a description of a processing job.
default DescribeProjectResponse	describeProject(Consumer<DescribeProjectRequest.Builder> describeProjectRequest)	Describes the details of a project.
default DescribeProjectResponse	describeProject(DescribeProjectRequest describeProjectRequest)	Describes the details of a project.
default DescribeReservedCapacityResponse	describeReservedCapacity(Consumer<DescribeReservedCapacityRequest.Builder> describeReservedCapacityRequest)	Retrieves details about a reserved capacity.
default DescribeReservedCapacityResponse	describeReservedCapacity(DescribeReservedCapacityRequest describeReservedCapacityRequest)	Retrieves details about a reserved capacity.
default DescribeSpaceResponse	describeSpace(Consumer<DescribeSpaceRequest.Builder> describeSpaceRequest)	Describes the space.
default DescribeSpaceResponse	describeSpace(DescribeSpaceRequest describeSpaceRequest)	Describes the space.
default DescribeStudioLifecycleConfigResponse	describeStudioLifecycleConfig(Consumer<DescribeStudioLifecycleConfigRequest.Builder> describeStudioLifecycleConfigRequest)	Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
default DescribeStudioLifecycleConfigResponse	describeStudioLifecycleConfig(DescribeStudioLifecycleConfigRequest describeStudioLifecycleConfigRequest)	Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
default DescribeSubscribedWorkteamResponse	describeSubscribedWorkteam(Consumer<DescribeSubscribedWorkteamRequest.Builder> describeSubscribedWorkteamRequest)	Gets information about a work team provided by a vendor.
default DescribeSubscribedWorkteamResponse	describeSubscribedWorkteam(DescribeSubscribedWorkteamRequest describeSubscribedWorkteamRequest)	Gets information about a work team provided by a vendor.
default DescribeTrainingJobResponse	describeTrainingJob(Consumer<DescribeTrainingJobRequest.Builder> describeTrainingJobRequest)	Returns information about a training job.
default DescribeTrainingJobResponse	describeTrainingJob(DescribeTrainingJobRequest describeTrainingJobRequest)	Returns information about a training job.
default DescribeTrainingPlanResponse	describeTrainingPlan(Consumer<DescribeTrainingPlanRequest.Builder> describeTrainingPlanRequest)	Retrieves detailed information about a specific training plan.
default DescribeTrainingPlanResponse	describeTrainingPlan(DescribeTrainingPlanRequest describeTrainingPlanRequest)	Retrieves detailed information about a specific training plan.
default DescribeTransformJobResponse	describeTransformJob(Consumer<DescribeTransformJobRequest.Builder> describeTransformJobRequest)	Returns information about a transform job.
default DescribeTransformJobResponse	describeTransformJob(DescribeTransformJobRequest describeTransformJobRequest)	Returns information about a transform job.
default DescribeTrialResponse	describeTrial(Consumer<DescribeTrialRequest.Builder> describeTrialRequest)	Provides a list of a trial's properties.
default DescribeTrialResponse	describeTrial(DescribeTrialRequest describeTrialRequest)	Provides a list of a trial's properties.
default DescribeTrialComponentResponse	describeTrialComponent(Consumer<DescribeTrialComponentRequest.Builder> describeTrialComponentRequest)	Provides a list of a trials component's properties.
default DescribeTrialComponentResponse	describeTrialComponent(DescribeTrialComponentRequest describeTrialComponentRequest)	Provides a list of a trials component's properties.
default DescribeUserProfileResponse	describeUserProfile(Consumer<DescribeUserProfileRequest.Builder> describeUserProfileRequest)	Describes a user profile.
default DescribeUserProfileResponse	describeUserProfile(DescribeUserProfileRequest describeUserProfileRequest)	Describes a user profile.
default DescribeWorkforceResponse	describeWorkforce(Consumer<DescribeWorkforceRequest.Builder> describeWorkforceRequest)	Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs).
default DescribeWorkforceResponse	describeWorkforce(DescribeWorkforceRequest describeWorkforceRequest)	Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs).
default DescribeWorkteamResponse	describeWorkteam(Consumer<DescribeWorkteamRequest.Builder> describeWorkteamRequest)	Gets information about a specific work team.
default DescribeWorkteamResponse	describeWorkteam(DescribeWorkteamRequest describeWorkteamRequest)	Gets information about a specific work team.
default DetachClusterNodeVolumeResponse	detachClusterNodeVolume(Consumer<DetachClusterNodeVolumeRequest.Builder> detachClusterNodeVolumeRequest)	Detaches your Amazon Elastic Block Store (Amazon EBS) volume from a node in your EKS orchestrated SageMaker HyperPod cluster.
default DetachClusterNodeVolumeResponse	detachClusterNodeVolume(DetachClusterNodeVolumeRequest detachClusterNodeVolumeRequest)	Detaches your Amazon Elastic Block Store (Amazon EBS) volume from a node in your EKS orchestrated SageMaker HyperPod cluster.
default DisableSagemakerServicecatalogPortfolioResponse	disableSagemakerServicecatalogPortfolio(Consumer<DisableSagemakerServicecatalogPortfolioRequest.Builder> disableSagemakerServicecatalogPortfolioRequest)	Disables using Service Catalog in SageMaker.
default DisableSagemakerServicecatalogPortfolioResponse	disableSagemakerServicecatalogPortfolio(DisableSagemakerServicecatalogPortfolioRequest disableSagemakerServicecatalogPortfolioRequest)	Disables using Service Catalog in SageMaker.
default DisassociateTrialComponentResponse	disassociateTrialComponent(Consumer<DisassociateTrialComponentRequest.Builder> disassociateTrialComponentRequest)	Disassociates a trial component from a trial.
default DisassociateTrialComponentResponse	disassociateTrialComponent(DisassociateTrialComponentRequest disassociateTrialComponentRequest)	Disassociates a trial component from a trial.
default EnableSagemakerServicecatalogPortfolioResponse	enableSagemakerServicecatalogPortfolio(Consumer<EnableSagemakerServicecatalogPortfolioRequest.Builder> enableSagemakerServicecatalogPortfolioRequest)	Enables using Service Catalog in SageMaker.
default EnableSagemakerServicecatalogPortfolioResponse	enableSagemakerServicecatalogPortfolio(EnableSagemakerServicecatalogPortfolioRequest enableSagemakerServicecatalogPortfolioRequest)	Enables using Service Catalog in SageMaker.
default GetDeviceFleetReportResponse	getDeviceFleetReport(Consumer<GetDeviceFleetReportRequest.Builder> getDeviceFleetReportRequest)	Describes a fleet.
default GetDeviceFleetReportResponse	getDeviceFleetReport(GetDeviceFleetReportRequest getDeviceFleetReportRequest)	Describes a fleet.
default GetLineageGroupPolicyResponse	getLineageGroupPolicy(Consumer<GetLineageGroupPolicyRequest.Builder> getLineageGroupPolicyRequest)	The resource policy for the lineage group.
default GetLineageGroupPolicyResponse	getLineageGroupPolicy(GetLineageGroupPolicyRequest getLineageGroupPolicyRequest)	The resource policy for the lineage group.
default GetModelPackageGroupPolicyResponse	getModelPackageGroupPolicy(Consumer<GetModelPackageGroupPolicyRequest.Builder> getModelPackageGroupPolicyRequest)	Gets a resource policy that manages access for a model group.
default GetModelPackageGroupPolicyResponse	getModelPackageGroupPolicy(GetModelPackageGroupPolicyRequest getModelPackageGroupPolicyRequest)	Gets a resource policy that manages access for a model group.
default GetSagemakerServicecatalogPortfolioStatusResponse	getSagemakerServicecatalogPortfolioStatus(Consumer<GetSagemakerServicecatalogPortfolioStatusRequest.Builder> getSagemakerServicecatalogPortfolioStatusRequest)	Gets the status of Service Catalog in SageMaker.
default GetSagemakerServicecatalogPortfolioStatusResponse	getSagemakerServicecatalogPortfolioStatus(GetSagemakerServicecatalogPortfolioStatusRequest getSagemakerServicecatalogPortfolioStatusRequest)	Gets the status of Service Catalog in SageMaker.
default GetScalingConfigurationRecommendationResponse	getScalingConfigurationRecommendation(Consumer<GetScalingConfigurationRecommendationRequest.Builder> getScalingConfigurationRecommendationRequest)	Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
default GetScalingConfigurationRecommendationResponse	getScalingConfigurationRecommendation(GetScalingConfigurationRecommendationRequest getScalingConfigurationRecommendationRequest)	Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
default GetSearchSuggestionsResponse	getSearchSuggestions(Consumer<GetSearchSuggestionsRequest.Builder> getSearchSuggestionsRequest)	An auto-complete API for the search functionality in the SageMaker console.
default GetSearchSuggestionsResponse	getSearchSuggestions(GetSearchSuggestionsRequest getSearchSuggestionsRequest)	An auto-complete API for the search functionality in the SageMaker console.
default ImportHubContentResponse	importHubContent(Consumer<ImportHubContentRequest.Builder> importHubContentRequest)	Import hub content.
default ImportHubContentResponse	importHubContent(ImportHubContentRequest importHubContentRequest)	Import hub content.
default ListActionsResponse	listActions(Consumer<ListActionsRequest.Builder> listActionsRequest)	Lists the actions in your account and their properties.
default ListActionsResponse	listActions(ListActionsRequest listActionsRequest)	Lists the actions in your account and their properties.
default ListActionsIterable	listActionsPaginator(Consumer<ListActionsRequest.Builder> listActionsRequest)	This is a variant of listActions(software.amazon.awssdk.services.sagemaker.model.ListActionsRequest) operation.
default ListActionsIterable	listActionsPaginator(ListActionsRequest listActionsRequest)	This is a variant of listActions(software.amazon.awssdk.services.sagemaker.model.ListActionsRequest) operation.
default ListAlgorithmsResponse	listAlgorithms()	Lists the machine learning algorithms that have been created.
default ListAlgorithmsResponse	listAlgorithms(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)	Lists the machine learning algorithms that have been created.
default ListAlgorithmsResponse	listAlgorithms(ListAlgorithmsRequest listAlgorithmsRequest)	Lists the machine learning algorithms that have been created.
default ListAlgorithmsIterable	listAlgorithmsPaginator()	This is a variant of listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.
default ListAlgorithmsIterable	listAlgorithmsPaginator(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)	This is a variant of listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.
default ListAlgorithmsIterable	listAlgorithmsPaginator(ListAlgorithmsRequest listAlgorithmsRequest)	This is a variant of listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.
default ListAliasesResponse	listAliases(Consumer<ListAliasesRequest.Builder> listAliasesRequest)	Lists the aliases of a specified image or image version.
default ListAliasesResponse	listAliases(ListAliasesRequest listAliasesRequest)	Lists the aliases of a specified image or image version.
default ListAliasesIterable	listAliasesPaginator(Consumer<ListAliasesRequest.Builder> listAliasesRequest)	This is a variant of listAliases(software.amazon.awssdk.services.sagemaker.model.ListAliasesRequest) operation.
default ListAliasesIterable	listAliasesPaginator(ListAliasesRequest listAliasesRequest)	This is a variant of listAliases(software.amazon.awssdk.services.sagemaker.model.ListAliasesRequest) operation.
default ListAppImageConfigsResponse	listAppImageConfigs(Consumer<ListAppImageConfigsRequest.Builder> listAppImageConfigsRequest)	Lists the AppImageConfigs in your account and their properties.
default ListAppImageConfigsResponse	listAppImageConfigs(ListAppImageConfigsRequest listAppImageConfigsRequest)	Lists the AppImageConfigs in your account and their properties.
default ListAppImageConfigsIterable	listAppImageConfigsPaginator(Consumer<ListAppImageConfigsRequest.Builder> listAppImageConfigsRequest)	This is a variant of listAppImageConfigs(software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsRequest) operation.
default ListAppImageConfigsIterable	listAppImageConfigsPaginator(ListAppImageConfigsRequest listAppImageConfigsRequest)	This is a variant of listAppImageConfigs(software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsRequest) operation.
default ListAppsResponse	listApps(Consumer<ListAppsRequest.Builder> listAppsRequest)	Lists apps.
default ListAppsResponse	listApps(ListAppsRequest listAppsRequest)	Lists apps.
default ListAppsIterable	listAppsPaginator(Consumer<ListAppsRequest.Builder> listAppsRequest)	This is a variant of listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation.
default ListAppsIterable	listAppsPaginator(ListAppsRequest listAppsRequest)	This is a variant of listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation.
default ListArtifactsResponse	listArtifacts(Consumer<ListArtifactsRequest.Builder> listArtifactsRequest)	Lists the artifacts in your account and their properties.
default ListArtifactsResponse	listArtifacts(ListArtifactsRequest listArtifactsRequest)	Lists the artifacts in your account and their properties.
default ListArtifactsIterable	listArtifactsPaginator(Consumer<ListArtifactsRequest.Builder> listArtifactsRequest)	This is a variant of listArtifacts(software.amazon.awssdk.services.sagemaker.model.ListArtifactsRequest) operation.
default ListArtifactsIterable	listArtifactsPaginator(ListArtifactsRequest listArtifactsRequest)	This is a variant of listArtifacts(software.amazon.awssdk.services.sagemaker.model.ListArtifactsRequest) operation.
default ListAssociationsResponse	listAssociations(Consumer<ListAssociationsRequest.Builder> listAssociationsRequest)	Lists the associations in your account and their properties.
default ListAssociationsResponse	listAssociations(ListAssociationsRequest listAssociationsRequest)	Lists the associations in your account and their properties.
default ListAssociationsIterable	listAssociationsPaginator(Consumer<ListAssociationsRequest.Builder> listAssociationsRequest)	This is a variant of listAssociations(software.amazon.awssdk.services.sagemaker.model.ListAssociationsRequest) operation.
default ListAssociationsIterable	listAssociationsPaginator(ListAssociationsRequest listAssociationsRequest)	This is a variant of listAssociations(software.amazon.awssdk.services.sagemaker.model.ListAssociationsRequest) operation.
default ListAutoMlJobsResponse	listAutoMLJobs(Consumer<ListAutoMlJobsRequest.Builder> listAutoMlJobsRequest)	Request a list of jobs.
default ListAutoMlJobsResponse	listAutoMLJobs(ListAutoMlJobsRequest listAutoMlJobsRequest)	Request a list of jobs.
default ListAutoMLJobsIterable	listAutoMLJobsPaginator(Consumer<ListAutoMlJobsRequest.Builder> listAutoMlJobsRequest)	This is a variant of listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation.
default ListAutoMLJobsIterable	listAutoMLJobsPaginator(ListAutoMlJobsRequest listAutoMlJobsRequest)	This is a variant of listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation.
default ListCandidatesForAutoMlJobResponse	listCandidatesForAutoMLJob(Consumer<ListCandidatesForAutoMlJobRequest.Builder> listCandidatesForAutoMlJobRequest)	List the candidates created for the job.
default ListCandidatesForAutoMlJobResponse	listCandidatesForAutoMLJob(ListCandidatesForAutoMlJobRequest listCandidatesForAutoMlJobRequest)	List the candidates created for the job.
default ListCandidatesForAutoMLJobIterable	listCandidatesForAutoMLJobPaginator(Consumer<ListCandidatesForAutoMlJobRequest.Builder> listCandidatesForAutoMlJobRequest)	This is a variant of listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest) operation.
default ListCandidatesForAutoMLJobIterable	listCandidatesForAutoMLJobPaginator(ListCandidatesForAutoMlJobRequest listCandidatesForAutoMlJobRequest)	This is a variant of listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest) operation.
default ListClusterEventsResponse	listClusterEvents(Consumer<ListClusterEventsRequest.Builder> listClusterEventsRequest)	Retrieves a list of event summaries for a specified HyperPod cluster.
default ListClusterEventsResponse	listClusterEvents(ListClusterEventsRequest listClusterEventsRequest)	Retrieves a list of event summaries for a specified HyperPod cluster.
default ListClusterEventsIterable	listClusterEventsPaginator(Consumer<ListClusterEventsRequest.Builder> listClusterEventsRequest)	This is a variant of listClusterEvents(software.amazon.awssdk.services.sagemaker.model.ListClusterEventsRequest) operation.
default ListClusterEventsIterable	listClusterEventsPaginator(ListClusterEventsRequest listClusterEventsRequest)	This is a variant of listClusterEvents(software.amazon.awssdk.services.sagemaker.model.ListClusterEventsRequest) operation.
default ListClusterNodesResponse	listClusterNodes(Consumer<ListClusterNodesRequest.Builder> listClusterNodesRequest)	Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
default ListClusterNodesResponse	listClusterNodes(ListClusterNodesRequest listClusterNodesRequest)	Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
default ListClusterNodesIterable	listClusterNodesPaginator(Consumer<ListClusterNodesRequest.Builder> listClusterNodesRequest)	This is a variant of listClusterNodes(software.amazon.awssdk.services.sagemaker.model.ListClusterNodesRequest) operation.
default ListClusterNodesIterable	listClusterNodesPaginator(ListClusterNodesRequest listClusterNodesRequest)	This is a variant of listClusterNodes(software.amazon.awssdk.services.sagemaker.model.ListClusterNodesRequest) operation.
default ListClustersResponse	listClusters(Consumer<ListClustersRequest.Builder> listClustersRequest)	Retrieves the list of SageMaker HyperPod clusters.
default ListClustersResponse	listClusters(ListClustersRequest listClustersRequest)	Retrieves the list of SageMaker HyperPod clusters.
default ListClusterSchedulerConfigsResponse	listClusterSchedulerConfigs(Consumer<ListClusterSchedulerConfigsRequest.Builder> listClusterSchedulerConfigsRequest)	List the cluster policy configurations.
default ListClusterSchedulerConfigsResponse	listClusterSchedulerConfigs(ListClusterSchedulerConfigsRequest listClusterSchedulerConfigsRequest)	List the cluster policy configurations.
default ListClusterSchedulerConfigsIterable	listClusterSchedulerConfigsPaginator(Consumer<ListClusterSchedulerConfigsRequest.Builder> listClusterSchedulerConfigsRequest)	This is a variant of listClusterSchedulerConfigs(software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsRequest) operation.
default ListClusterSchedulerConfigsIterable	listClusterSchedulerConfigsPaginator(ListClusterSchedulerConfigsRequest listClusterSchedulerConfigsRequest)	This is a variant of listClusterSchedulerConfigs(software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsRequest) operation.
default ListClustersIterable	listClustersPaginator(Consumer<ListClustersRequest.Builder> listClustersRequest)	This is a variant of listClusters(software.amazon.awssdk.services.sagemaker.model.ListClustersRequest) operation.
default ListClustersIterable	listClustersPaginator(ListClustersRequest listClustersRequest)	This is a variant of listClusters(software.amazon.awssdk.services.sagemaker.model.ListClustersRequest) operation.
default ListCodeRepositoriesResponse	listCodeRepositories()	Gets a list of the Git repositories in your account.
default ListCodeRepositoriesResponse	listCodeRepositories(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)	Gets a list of the Git repositories in your account.
default ListCodeRepositoriesResponse	listCodeRepositories(ListCodeRepositoriesRequest listCodeRepositoriesRequest)	Gets a list of the Git repositories in your account.
default ListCodeRepositoriesIterable	listCodeRepositoriesPaginator()	This is a variant of listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation.
default ListCodeRepositoriesIterable	listCodeRepositoriesPaginator(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)	This is a variant of listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation.
default ListCodeRepositoriesIterable	listCodeRepositoriesPaginator(ListCodeRepositoriesRequest listCodeRepositoriesRequest)	This is a variant of listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation.
default ListCompilationJobsResponse	listCompilationJobs()	Lists model compilation jobs that satisfy various filters.
default ListCompilationJobsResponse	listCompilationJobs(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)	Lists model compilation jobs that satisfy various filters.
default ListCompilationJobsResponse	listCompilationJobs(ListCompilationJobsRequest listCompilationJobsRequest)	Lists model compilation jobs that satisfy various filters.
default ListCompilationJobsIterable	listCompilationJobsPaginator()	This is a variant of listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation.
default ListCompilationJobsIterable	listCompilationJobsPaginator(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)	This is a variant of listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation.
default ListCompilationJobsIterable	listCompilationJobsPaginator(ListCompilationJobsRequest listCompilationJobsRequest)	This is a variant of listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation.
default ListComputeQuotasResponse	listComputeQuotas(Consumer<ListComputeQuotasRequest.Builder> listComputeQuotasRequest)	List the resource allocation definitions.
default ListComputeQuotasResponse	listComputeQuotas(ListComputeQuotasRequest listComputeQuotasRequest)	List the resource allocation definitions.
default ListComputeQuotasIterable	listComputeQuotasPaginator(Consumer<ListComputeQuotasRequest.Builder> listComputeQuotasRequest)	This is a variant of listComputeQuotas(software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasRequest) operation.
default ListComputeQuotasIterable	listComputeQuotasPaginator(ListComputeQuotasRequest listComputeQuotasRequest)	This is a variant of listComputeQuotas(software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasRequest) operation.
default ListContextsResponse	listContexts(Consumer<ListContextsRequest.Builder> listContextsRequest)	Lists the contexts in your account and their properties.
default ListContextsResponse	listContexts(ListContextsRequest listContextsRequest)	Lists the contexts in your account and their properties.
default ListContextsIterable	listContextsPaginator(Consumer<ListContextsRequest.Builder> listContextsRequest)	This is a variant of listContexts(software.amazon.awssdk.services.sagemaker.model.ListContextsRequest) operation.
default ListContextsIterable	listContextsPaginator(ListContextsRequest listContextsRequest)	This is a variant of listContexts(software.amazon.awssdk.services.sagemaker.model.ListContextsRequest) operation.
default ListDataQualityJobDefinitionsResponse	listDataQualityJobDefinitions(Consumer<ListDataQualityJobDefinitionsRequest.Builder> listDataQualityJobDefinitionsRequest)	Lists the data quality job definitions in your account.
default ListDataQualityJobDefinitionsResponse	listDataQualityJobDefinitions(ListDataQualityJobDefinitionsRequest listDataQualityJobDefinitionsRequest)	Lists the data quality job definitions in your account.
default ListDataQualityJobDefinitionsIterable	listDataQualityJobDefinitionsPaginator(Consumer<ListDataQualityJobDefinitionsRequest.Builder> listDataQualityJobDefinitionsRequest)	This is a variant of listDataQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsRequest) operation.
default ListDataQualityJobDefinitionsIterable	listDataQualityJobDefinitionsPaginator(ListDataQualityJobDefinitionsRequest listDataQualityJobDefinitionsRequest)	This is a variant of listDataQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsRequest) operation.
default ListDeviceFleetsResponse	listDeviceFleets(Consumer<ListDeviceFleetsRequest.Builder> listDeviceFleetsRequest)	Returns a list of devices in the fleet.
default ListDeviceFleetsResponse	listDeviceFleets(ListDeviceFleetsRequest listDeviceFleetsRequest)	Returns a list of devices in the fleet.
default ListDeviceFleetsIterable	listDeviceFleetsPaginator(Consumer<ListDeviceFleetsRequest.Builder> listDeviceFleetsRequest)	This is a variant of listDeviceFleets(software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsRequest) operation.
default ListDeviceFleetsIterable	listDeviceFleetsPaginator(ListDeviceFleetsRequest listDeviceFleetsRequest)	This is a variant of listDeviceFleets(software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsRequest) operation.
default ListDevicesResponse	listDevices(Consumer<ListDevicesRequest.Builder> listDevicesRequest)	A list of devices.
default ListDevicesResponse	listDevices(ListDevicesRequest listDevicesRequest)	A list of devices.
default ListDevicesIterable	listDevicesPaginator(Consumer<ListDevicesRequest.Builder> listDevicesRequest)	This is a variant of listDevices(software.amazon.awssdk.services.sagemaker.model.ListDevicesRequest) operation.
default ListDevicesIterable	listDevicesPaginator(ListDevicesRequest listDevicesRequest)	This is a variant of listDevices(software.amazon.awssdk.services.sagemaker.model.ListDevicesRequest) operation.
default ListDomainsResponse	listDomains(Consumer<ListDomainsRequest.Builder> listDomainsRequest)	Lists the domains.
default ListDomainsResponse	listDomains(ListDomainsRequest listDomainsRequest)	Lists the domains.
default ListDomainsIterable	listDomainsPaginator(Consumer<ListDomainsRequest.Builder> listDomainsRequest)	This is a variant of listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation.
default ListDomainsIterable	listDomainsPaginator(ListDomainsRequest listDomainsRequest)	This is a variant of listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation.
default ListEdgeDeploymentPlansResponse	listEdgeDeploymentPlans(Consumer<ListEdgeDeploymentPlansRequest.Builder> listEdgeDeploymentPlansRequest)	Lists all edge deployment plans.
default ListEdgeDeploymentPlansResponse	listEdgeDeploymentPlans(ListEdgeDeploymentPlansRequest listEdgeDeploymentPlansRequest)	Lists all edge deployment plans.
default ListEdgeDeploymentPlansIterable	listEdgeDeploymentPlansPaginator(Consumer<ListEdgeDeploymentPlansRequest.Builder> listEdgeDeploymentPlansRequest)	This is a variant of listEdgeDeploymentPlans(software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansRequest) operation.
default ListEdgeDeploymentPlansIterable	listEdgeDeploymentPlansPaginator(ListEdgeDeploymentPlansRequest listEdgeDeploymentPlansRequest)	This is a variant of listEdgeDeploymentPlans(software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansRequest) operation.
default ListEdgePackagingJobsResponse	listEdgePackagingJobs(Consumer<ListEdgePackagingJobsRequest.Builder> listEdgePackagingJobsRequest)	Returns a list of edge packaging jobs.
default ListEdgePackagingJobsResponse	listEdgePackagingJobs(ListEdgePackagingJobsRequest listEdgePackagingJobsRequest)	Returns a list of edge packaging jobs.
default ListEdgePackagingJobsIterable	listEdgePackagingJobsPaginator(Consumer<ListEdgePackagingJobsRequest.Builder> listEdgePackagingJobsRequest)	This is a variant of listEdgePackagingJobs(software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsRequest) operation.
default ListEdgePackagingJobsIterable	listEdgePackagingJobsPaginator(ListEdgePackagingJobsRequest listEdgePackagingJobsRequest)	This is a variant of listEdgePackagingJobs(software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsRequest) operation.
default ListEndpointConfigsResponse	listEndpointConfigs()	Lists endpoint configurations.
default ListEndpointConfigsResponse	listEndpointConfigs(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)	Lists endpoint configurations.
default ListEndpointConfigsResponse	listEndpointConfigs(ListEndpointConfigsRequest listEndpointConfigsRequest)	Lists endpoint configurations.
default ListEndpointConfigsIterable	listEndpointConfigsPaginator()	This is a variant of listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation.
default ListEndpointConfigsIterable	listEndpointConfigsPaginator(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)	This is a variant of listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation.
default ListEndpointConfigsIterable	listEndpointConfigsPaginator(ListEndpointConfigsRequest listEndpointConfigsRequest)	This is a variant of listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation.
default ListEndpointsResponse	listEndpoints()	Lists endpoints.
default ListEndpointsResponse	listEndpoints(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)	Lists endpoints.
default ListEndpointsResponse	listEndpoints(ListEndpointsRequest listEndpointsRequest)	Lists endpoints.
default ListEndpointsIterable	listEndpointsPaginator()	This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.
default ListEndpointsIterable	listEndpointsPaginator(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)	This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.
default ListEndpointsIterable	listEndpointsPaginator(ListEndpointsRequest listEndpointsRequest)	This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.
default ListExperimentsResponse	listExperiments(Consumer<ListExperimentsRequest.Builder> listExperimentsRequest)	Lists all the experiments in your account.
default ListExperimentsResponse	listExperiments(ListExperimentsRequest listExperimentsRequest)	Lists all the experiments in your account.
default ListExperimentsIterable	listExperimentsPaginator(Consumer<ListExperimentsRequest.Builder> listExperimentsRequest)	This is a variant of listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation.
default ListExperimentsIterable	listExperimentsPaginator(ListExperimentsRequest listExperimentsRequest)	This is a variant of listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation.
default ListFeatureGroupsResponse	listFeatureGroups(Consumer<ListFeatureGroupsRequest.Builder> listFeatureGroupsRequest)	List FeatureGroups based on given filter and order.
default ListFeatureGroupsResponse	listFeatureGroups(ListFeatureGroupsRequest listFeatureGroupsRequest)	List FeatureGroups based on given filter and order.
default ListFeatureGroupsIterable	listFeatureGroupsPaginator(Consumer<ListFeatureGroupsRequest.Builder> listFeatureGroupsRequest)	This is a variant of listFeatureGroups(software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsRequest) operation.
default ListFeatureGroupsIterable	listFeatureGroupsPaginator(ListFeatureGroupsRequest listFeatureGroupsRequest)	This is a variant of listFeatureGroups(software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsRequest) operation.
default ListFlowDefinitionsResponse	listFlowDefinitions(Consumer<ListFlowDefinitionsRequest.Builder> listFlowDefinitionsRequest)	Returns information about the flow definitions in your account.
default ListFlowDefinitionsResponse	listFlowDefinitions(ListFlowDefinitionsRequest listFlowDefinitionsRequest)	Returns information about the flow definitions in your account.
default ListFlowDefinitionsIterable	listFlowDefinitionsPaginator(Consumer<ListFlowDefinitionsRequest.Builder> listFlowDefinitionsRequest)	This is a variant of listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest) operation.
default ListFlowDefinitionsIterable	listFlowDefinitionsPaginator(ListFlowDefinitionsRequest listFlowDefinitionsRequest)	This is a variant of listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest) operation.
default ListHubContentsResponse	listHubContents(Consumer<ListHubContentsRequest.Builder> listHubContentsRequest)	List the contents of a hub.
default ListHubContentsResponse	listHubContents(ListHubContentsRequest listHubContentsRequest)	List the contents of a hub.
default ListHubContentVersionsResponse	listHubContentVersions(Consumer<ListHubContentVersionsRequest.Builder> listHubContentVersionsRequest)	List hub content versions.
default ListHubContentVersionsResponse	listHubContentVersions(ListHubContentVersionsRequest listHubContentVersionsRequest)	List hub content versions.
default ListHubsResponse	listHubs(Consumer<ListHubsRequest.Builder> listHubsRequest)	List all existing hubs.
default ListHubsResponse	listHubs(ListHubsRequest listHubsRequest)	List all existing hubs.
default ListHumanTaskUisResponse	listHumanTaskUis(Consumer<ListHumanTaskUisRequest.Builder> listHumanTaskUisRequest)	Returns information about the human task user interfaces in your account.
default ListHumanTaskUisResponse	listHumanTaskUis(ListHumanTaskUisRequest listHumanTaskUisRequest)	Returns information about the human task user interfaces in your account.
default ListHumanTaskUisIterable	listHumanTaskUisPaginator(Consumer<ListHumanTaskUisRequest.Builder> listHumanTaskUisRequest)	This is a variant of listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation.
default ListHumanTaskUisIterable	listHumanTaskUisPaginator(ListHumanTaskUisRequest listHumanTaskUisRequest)	This is a variant of listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation.
default ListHyperParameterTuningJobsResponse	listHyperParameterTuningJobs()	Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
default ListHyperParameterTuningJobsResponse	listHyperParameterTuningJobs(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)	Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
default ListHyperParameterTuningJobsResponse	listHyperParameterTuningJobs(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)	Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
default ListHyperParameterTuningJobsIterable	listHyperParameterTuningJobsPaginator()	This is a variant of listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation.
default ListHyperParameterTuningJobsIterable	listHyperParameterTuningJobsPaginator(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)	This is a variant of listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation.
default ListHyperParameterTuningJobsIterable	listHyperParameterTuningJobsPaginator(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)	This is a variant of listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation.
default ListImagesResponse	listImages(Consumer<ListImagesRequest.Builder> listImagesRequest)	Lists the images in your account and their properties.
default ListImagesResponse	listImages(ListImagesRequest listImagesRequest)	Lists the images in your account and their properties.
default ListImagesIterable	listImagesPaginator(Consumer<ListImagesRequest.Builder> listImagesRequest)	This is a variant of listImages(software.amazon.awssdk.services.sagemaker.model.ListImagesRequest) operation.
default ListImagesIterable	listImagesPaginator(ListImagesRequest listImagesRequest)	This is a variant of listImages(software.amazon.awssdk.services.sagemaker.model.ListImagesRequest) operation.
default ListImageVersionsResponse	listImageVersions(Consumer<ListImageVersionsRequest.Builder> listImageVersionsRequest)	Lists the versions of a specified image and their properties.
default ListImageVersionsResponse	listImageVersions(ListImageVersionsRequest listImageVersionsRequest)	Lists the versions of a specified image and their properties.
default ListImageVersionsIterable	listImageVersionsPaginator(Consumer<ListImageVersionsRequest.Builder> listImageVersionsRequest)	This is a variant of listImageVersions(software.amazon.awssdk.services.sagemaker.model.ListImageVersionsRequest) operation.
default ListImageVersionsIterable	listImageVersionsPaginator(ListImageVersionsRequest listImageVersionsRequest)	This is a variant of listImageVersions(software.amazon.awssdk.services.sagemaker.model.ListImageVersionsRequest) operation.
default ListInferenceComponentsResponse	listInferenceComponents(Consumer<ListInferenceComponentsRequest.Builder> listInferenceComponentsRequest)	Lists the inference components in your account and their properties.
default ListInferenceComponentsResponse	listInferenceComponents(ListInferenceComponentsRequest listInferenceComponentsRequest)	Lists the inference components in your account and their properties.
default ListInferenceComponentsIterable	listInferenceComponentsPaginator(Consumer<ListInferenceComponentsRequest.Builder> listInferenceComponentsRequest)	This is a variant of listInferenceComponents(software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsRequest) operation.
default ListInferenceComponentsIterable	listInferenceComponentsPaginator(ListInferenceComponentsRequest listInferenceComponentsRequest)	This is a variant of listInferenceComponents(software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsRequest) operation.
default ListInferenceExperimentsResponse	listInferenceExperiments(Consumer<ListInferenceExperimentsRequest.Builder> listInferenceExperimentsRequest)	Returns the list of all inference experiments.
default ListInferenceExperimentsResponse	listInferenceExperiments(ListInferenceExperimentsRequest listInferenceExperimentsRequest)	Returns the list of all inference experiments.
default ListInferenceExperimentsIterable	listInferenceExperimentsPaginator(Consumer<ListInferenceExperimentsRequest.Builder> listInferenceExperimentsRequest)	This is a variant of listInferenceExperiments(software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsRequest) operation.
default ListInferenceExperimentsIterable	listInferenceExperimentsPaginator(ListInferenceExperimentsRequest listInferenceExperimentsRequest)	This is a variant of listInferenceExperiments(software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsRequest) operation.
default ListInferenceRecommendationsJobsResponse	listInferenceRecommendationsJobs(Consumer<ListInferenceRecommendationsJobsRequest.Builder> listInferenceRecommendationsJobsRequest)	Lists recommendation jobs that satisfy various filters.
default ListInferenceRecommendationsJobsResponse	listInferenceRecommendationsJobs(ListInferenceRecommendationsJobsRequest listInferenceRecommendationsJobsRequest)	Lists recommendation jobs that satisfy various filters.
default ListInferenceRecommendationsJobsIterable	listInferenceRecommendationsJobsPaginator(Consumer<ListInferenceRecommendationsJobsRequest.Builder> listInferenceRecommendationsJobsRequest)	This is a variant of listInferenceRecommendationsJobs(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsRequest) operation.
default ListInferenceRecommendationsJobsIterable	listInferenceRecommendationsJobsPaginator(ListInferenceRecommendationsJobsRequest listInferenceRecommendationsJobsRequest)	This is a variant of listInferenceRecommendationsJobs(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsRequest) operation.
default ListInferenceRecommendationsJobStepsResponse	listInferenceRecommendationsJobSteps(Consumer<ListInferenceRecommendationsJobStepsRequest.Builder> listInferenceRecommendationsJobStepsRequest)	Returns a list of the subtasks for an Inference Recommender job.
default ListInferenceRecommendationsJobStepsResponse	listInferenceRecommendationsJobSteps(ListInferenceRecommendationsJobStepsRequest listInferenceRecommendationsJobStepsRequest)	Returns a list of the subtasks for an Inference Recommender job.
default ListInferenceRecommendationsJobStepsIterable	listInferenceRecommendationsJobStepsPaginator(Consumer<ListInferenceRecommendationsJobStepsRequest.Builder> listInferenceRecommendationsJobStepsRequest)	This is a variant of listInferenceRecommendationsJobSteps(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest) operation.
default ListInferenceRecommendationsJobStepsIterable	listInferenceRecommendationsJobStepsPaginator(ListInferenceRecommendationsJobStepsRequest listInferenceRecommendationsJobStepsRequest)	This is a variant of listInferenceRecommendationsJobSteps(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest) operation.
default ListLabelingJobsResponse	listLabelingJobs()	Gets a list of labeling jobs.
default ListLabelingJobsResponse	listLabelingJobs(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)	Gets a list of labeling jobs.
default ListLabelingJobsResponse	listLabelingJobs(ListLabelingJobsRequest listLabelingJobsRequest)	Gets a list of labeling jobs.
default ListLabelingJobsForWorkteamResponse	listLabelingJobsForWorkteam(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)	Gets a list of labeling jobs assigned to a specified work team.
default ListLabelingJobsForWorkteamResponse	listLabelingJobsForWorkteam(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)	Gets a list of labeling jobs assigned to a specified work team.
default ListLabelingJobsForWorkteamIterable	listLabelingJobsForWorkteamPaginator(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)	This is a variant of listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest) operation.
default ListLabelingJobsForWorkteamIterable	listLabelingJobsForWorkteamPaginator(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)	This is a variant of listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest) operation.
default ListLabelingJobsIterable	listLabelingJobsPaginator()	This is a variant of listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.
default ListLabelingJobsIterable	listLabelingJobsPaginator(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)	This is a variant of listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.
default ListLabelingJobsIterable	listLabelingJobsPaginator(ListLabelingJobsRequest listLabelingJobsRequest)	This is a variant of listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.
default ListLineageGroupsResponse	listLineageGroups(Consumer<ListLineageGroupsRequest.Builder> listLineageGroupsRequest)	A list of lineage groups shared with your Amazon Web Services account.
default ListLineageGroupsResponse	listLineageGroups(ListLineageGroupsRequest listLineageGroupsRequest)	A list of lineage groups shared with your Amazon Web Services account.
default ListLineageGroupsIterable	listLineageGroupsPaginator(Consumer<ListLineageGroupsRequest.Builder> listLineageGroupsRequest)	This is a variant of listLineageGroups(software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsRequest) operation.
default ListLineageGroupsIterable	listLineageGroupsPaginator(ListLineageGroupsRequest listLineageGroupsRequest)	This is a variant of listLineageGroups(software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsRequest) operation.
default ListMlflowTrackingServersResponse	listMlflowTrackingServers(Consumer<ListMlflowTrackingServersRequest.Builder> listMlflowTrackingServersRequest)	Lists all MLflow Tracking Servers.
default ListMlflowTrackingServersResponse	listMlflowTrackingServers(ListMlflowTrackingServersRequest listMlflowTrackingServersRequest)	Lists all MLflow Tracking Servers.
default ListMlflowTrackingServersIterable	listMlflowTrackingServersPaginator(Consumer<ListMlflowTrackingServersRequest.Builder> listMlflowTrackingServersRequest)	This is a variant of listMlflowTrackingServers(software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersRequest) operation.
default ListMlflowTrackingServersIterable	listMlflowTrackingServersPaginator(ListMlflowTrackingServersRequest listMlflowTrackingServersRequest)	This is a variant of listMlflowTrackingServers(software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersRequest) operation.
default ListModelBiasJobDefinitionsResponse	listModelBiasJobDefinitions(Consumer<ListModelBiasJobDefinitionsRequest.Builder> listModelBiasJobDefinitionsRequest)	Lists model bias jobs definitions that satisfy various filters.
default ListModelBiasJobDefinitionsResponse	listModelBiasJobDefinitions(ListModelBiasJobDefinitionsRequest listModelBiasJobDefinitionsRequest)	Lists model bias jobs definitions that satisfy various filters.
default ListModelBiasJobDefinitionsIterable	listModelBiasJobDefinitionsPaginator(Consumer<ListModelBiasJobDefinitionsRequest.Builder> listModelBiasJobDefinitionsRequest)	This is a variant of listModelBiasJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsRequest) operation.
default ListModelBiasJobDefinitionsIterable	listModelBiasJobDefinitionsPaginator(ListModelBiasJobDefinitionsRequest listModelBiasJobDefinitionsRequest)	This is a variant of listModelBiasJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsRequest) operation.
default ListModelCardExportJobsResponse	listModelCardExportJobs(Consumer<ListModelCardExportJobsRequest.Builder> listModelCardExportJobsRequest)	List the export jobs for the Amazon SageMaker Model Card.
default ListModelCardExportJobsResponse	listModelCardExportJobs(ListModelCardExportJobsRequest listModelCardExportJobsRequest)	List the export jobs for the Amazon SageMaker Model Card.
default ListModelCardExportJobsIterable	listModelCardExportJobsPaginator(Consumer<ListModelCardExportJobsRequest.Builder> listModelCardExportJobsRequest)	This is a variant of listModelCardExportJobs(software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsRequest) operation.
default ListModelCardExportJobsIterable	listModelCardExportJobsPaginator(ListModelCardExportJobsRequest listModelCardExportJobsRequest)	This is a variant of listModelCardExportJobs(software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsRequest) operation.
default ListModelCardsResponse	listModelCards(Consumer<ListModelCardsRequest.Builder> listModelCardsRequest)	List existing model cards.
default ListModelCardsResponse	listModelCards(ListModelCardsRequest listModelCardsRequest)	List existing model cards.
default ListModelCardsIterable	listModelCardsPaginator(Consumer<ListModelCardsRequest.Builder> listModelCardsRequest)	This is a variant of listModelCards(software.amazon.awssdk.services.sagemaker.model.ListModelCardsRequest) operation.
default ListModelCardsIterable	listModelCardsPaginator(ListModelCardsRequest listModelCardsRequest)	This is a variant of listModelCards(software.amazon.awssdk.services.sagemaker.model.ListModelCardsRequest) operation.
default ListModelCardVersionsResponse	listModelCardVersions(Consumer<ListModelCardVersionsRequest.Builder> listModelCardVersionsRequest)	List existing versions of an Amazon SageMaker Model Card.
default ListModelCardVersionsResponse	listModelCardVersions(ListModelCardVersionsRequest listModelCardVersionsRequest)	List existing versions of an Amazon SageMaker Model Card.
default ListModelCardVersionsIterable	listModelCardVersionsPaginator(Consumer<ListModelCardVersionsRequest.Builder> listModelCardVersionsRequest)	This is a variant of listModelCardVersions(software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsRequest) operation.
default ListModelCardVersionsIterable	listModelCardVersionsPaginator(ListModelCardVersionsRequest listModelCardVersionsRequest)	This is a variant of listModelCardVersions(software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsRequest) operation.
default ListModelExplainabilityJobDefinitionsResponse	listModelExplainabilityJobDefinitions(Consumer<ListModelExplainabilityJobDefinitionsRequest.Builder> listModelExplainabilityJobDefinitionsRequest)	Lists model explainability job definitions that satisfy various filters.
default ListModelExplainabilityJobDefinitionsResponse	listModelExplainabilityJobDefinitions(ListModelExplainabilityJobDefinitionsRequest listModelExplainabilityJobDefinitionsRequest)	Lists model explainability job definitions that satisfy various filters.
default ListModelExplainabilityJobDefinitionsIterable	listModelExplainabilityJobDefinitionsPaginator(Consumer<ListModelExplainabilityJobDefinitionsRequest.Builder> listModelExplainabilityJobDefinitionsRequest)	This is a variant of listModelExplainabilityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest) operation.
default ListModelExplainabilityJobDefinitionsIterable	listModelExplainabilityJobDefinitionsPaginator(ListModelExplainabilityJobDefinitionsRequest listModelExplainabilityJobDefinitionsRequest)	This is a variant of listModelExplainabilityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest) operation.
default ListModelMetadataResponse	listModelMetadata(Consumer<ListModelMetadataRequest.Builder> listModelMetadataRequest)	Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
default ListModelMetadataResponse	listModelMetadata(ListModelMetadataRequest listModelMetadataRequest)	Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
default ListModelMetadataIterable	listModelMetadataPaginator(Consumer<ListModelMetadataRequest.Builder> listModelMetadataRequest)	This is a variant of listModelMetadata(software.amazon.awssdk.services.sagemaker.model.ListModelMetadataRequest) operation.
default ListModelMetadataIterable	listModelMetadataPaginator(ListModelMetadataRequest listModelMetadataRequest)	This is a variant of listModelMetadata(software.amazon.awssdk.services.sagemaker.model.ListModelMetadataRequest) operation.
default ListModelPackageGroupsResponse	listModelPackageGroups(Consumer<ListModelPackageGroupsRequest.Builder> listModelPackageGroupsRequest)	Gets a list of the model groups in your Amazon Web Services account.
default ListModelPackageGroupsResponse	listModelPackageGroups(ListModelPackageGroupsRequest listModelPackageGroupsRequest)	Gets a list of the model groups in your Amazon Web Services account.
default ListModelPackageGroupsIterable	listModelPackageGroupsPaginator(Consumer<ListModelPackageGroupsRequest.Builder> listModelPackageGroupsRequest)	This is a variant of listModelPackageGroups(software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsRequest) operation.
default ListModelPackageGroupsIterable	listModelPackageGroupsPaginator(ListModelPackageGroupsRequest listModelPackageGroupsRequest)	This is a variant of listModelPackageGroups(software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsRequest) operation.
default ListModelPackagesResponse	listModelPackages()	Lists the model packages that have been created.
default ListModelPackagesResponse	listModelPackages(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)	Lists the model packages that have been created.
default ListModelPackagesResponse	listModelPackages(ListModelPackagesRequest listModelPackagesRequest)	Lists the model packages that have been created.
default ListModelPackagesIterable	listModelPackagesPaginator()	This is a variant of listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.
default ListModelPackagesIterable	listModelPackagesPaginator(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)	This is a variant of listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.
default ListModelPackagesIterable	listModelPackagesPaginator(ListModelPackagesRequest listModelPackagesRequest)	This is a variant of listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.
default ListModelQualityJobDefinitionsResponse	listModelQualityJobDefinitions(Consumer<ListModelQualityJobDefinitionsRequest.Builder> listModelQualityJobDefinitionsRequest)	Gets a list of model quality monitoring job definitions in your account.
default ListModelQualityJobDefinitionsResponse	listModelQualityJobDefinitions(ListModelQualityJobDefinitionsRequest listModelQualityJobDefinitionsRequest)	Gets a list of model quality monitoring job definitions in your account.
default ListModelQualityJobDefinitionsIterable	listModelQualityJobDefinitionsPaginator(Consumer<ListModelQualityJobDefinitionsRequest.Builder> listModelQualityJobDefinitionsRequest)	This is a variant of listModelQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsRequest) operation.
default ListModelQualityJobDefinitionsIterable	listModelQualityJobDefinitionsPaginator(ListModelQualityJobDefinitionsRequest listModelQualityJobDefinitionsRequest)	This is a variant of listModelQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsRequest) operation.
default ListModelsResponse	listModels()	Lists models created with the CreateModel API.
default ListModelsResponse	listModels(Consumer<ListModelsRequest.Builder> listModelsRequest)	Lists models created with the CreateModel API.
default ListModelsResponse	listModels(ListModelsRequest listModelsRequest)	Lists models created with the CreateModel API.
default ListModelsIterable	listModelsPaginator()	This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.
default ListModelsIterable	listModelsPaginator(Consumer<ListModelsRequest.Builder> listModelsRequest)	This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.
default ListModelsIterable	listModelsPaginator(ListModelsRequest listModelsRequest)	This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.
default ListMonitoringAlertHistoryResponse	listMonitoringAlertHistory(Consumer<ListMonitoringAlertHistoryRequest.Builder> listMonitoringAlertHistoryRequest)	Gets a list of past alerts in a model monitoring schedule.
default ListMonitoringAlertHistoryResponse	listMonitoringAlertHistory(ListMonitoringAlertHistoryRequest listMonitoringAlertHistoryRequest)	Gets a list of past alerts in a model monitoring schedule.
default ListMonitoringAlertHistoryIterable	listMonitoringAlertHistoryPaginator(Consumer<ListMonitoringAlertHistoryRequest.Builder> listMonitoringAlertHistoryRequest)	This is a variant of listMonitoringAlertHistory(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryRequest) operation.
default ListMonitoringAlertHistoryIterable	listMonitoringAlertHistoryPaginator(ListMonitoringAlertHistoryRequest listMonitoringAlertHistoryRequest)	This is a variant of listMonitoringAlertHistory(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryRequest) operation.
default ListMonitoringAlertsResponse	listMonitoringAlerts(Consumer<ListMonitoringAlertsRequest.Builder> listMonitoringAlertsRequest)	Gets the alerts for a single monitoring schedule.
default ListMonitoringAlertsResponse	listMonitoringAlerts(ListMonitoringAlertsRequest listMonitoringAlertsRequest)	Gets the alerts for a single monitoring schedule.
default ListMonitoringAlertsIterable	listMonitoringAlertsPaginator(Consumer<ListMonitoringAlertsRequest.Builder> listMonitoringAlertsRequest)	This is a variant of listMonitoringAlerts(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsRequest) operation.
default ListMonitoringAlertsIterable	listMonitoringAlertsPaginator(ListMonitoringAlertsRequest listMonitoringAlertsRequest)	This is a variant of listMonitoringAlerts(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsRequest) operation.
default ListMonitoringExecutionsResponse	listMonitoringExecutions(Consumer<ListMonitoringExecutionsRequest.Builder> listMonitoringExecutionsRequest)	Returns list of all monitoring job executions.
default ListMonitoringExecutionsResponse	listMonitoringExecutions(ListMonitoringExecutionsRequest listMonitoringExecutionsRequest)	Returns list of all monitoring job executions.
default ListMonitoringExecutionsIterable	listMonitoringExecutionsPaginator(Consumer<ListMonitoringExecutionsRequest.Builder> listMonitoringExecutionsRequest)	This is a variant of listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest) operation.
default ListMonitoringExecutionsIterable	listMonitoringExecutionsPaginator(ListMonitoringExecutionsRequest listMonitoringExecutionsRequest)	This is a variant of listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest) operation.
default ListMonitoringSchedulesResponse	listMonitoringSchedules(Consumer<ListMonitoringSchedulesRequest.Builder> listMonitoringSchedulesRequest)	Returns list of all monitoring schedules.
default ListMonitoringSchedulesResponse	listMonitoringSchedules(ListMonitoringSchedulesRequest listMonitoringSchedulesRequest)	Returns list of all monitoring schedules.
default ListMonitoringSchedulesIterable	listMonitoringSchedulesPaginator(Consumer<ListMonitoringSchedulesRequest.Builder> listMonitoringSchedulesRequest)	This is a variant of listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest) operation.
default ListMonitoringSchedulesIterable	listMonitoringSchedulesPaginator(ListMonitoringSchedulesRequest listMonitoringSchedulesRequest)	This is a variant of listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest) operation.
default ListNotebookInstanceLifecycleConfigsResponse	listNotebookInstanceLifecycleConfigs()	Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
default ListNotebookInstanceLifecycleConfigsResponse	listNotebookInstanceLifecycleConfigs(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)	Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
default ListNotebookInstanceLifecycleConfigsResponse	listNotebookInstanceLifecycleConfigs(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)	Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
default ListNotebookInstanceLifecycleConfigsIterable	listNotebookInstanceLifecycleConfigsPaginator()	This is a variant of listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation.
default ListNotebookInstanceLifecycleConfigsIterable	listNotebookInstanceLifecycleConfigsPaginator(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)	This is a variant of listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation.
default ListNotebookInstanceLifecycleConfigsIterable	listNotebookInstanceLifecycleConfigsPaginator(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)	This is a variant of listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation.
default ListNotebookInstancesResponse	listNotebookInstances()	Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.
default ListNotebookInstancesResponse	listNotebookInstances(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)	Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.
default ListNotebookInstancesResponse	listNotebookInstances(ListNotebookInstancesRequest listNotebookInstancesRequest)	Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.
default ListNotebookInstancesIterable	listNotebookInstancesPaginator()	This is a variant of listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation.
default ListNotebookInstancesIterable	listNotebookInstancesPaginator(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)	This is a variant of listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation.
default ListNotebookInstancesIterable	listNotebookInstancesPaginator(ListNotebookInstancesRequest listNotebookInstancesRequest)	This is a variant of listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation.
default ListOptimizationJobsResponse	listOptimizationJobs(Consumer<ListOptimizationJobsRequest.Builder> listOptimizationJobsRequest)	Lists the optimization jobs in your account and their properties.
default ListOptimizationJobsResponse	listOptimizationJobs(ListOptimizationJobsRequest listOptimizationJobsRequest)	Lists the optimization jobs in your account and their properties.
default ListOptimizationJobsIterable	listOptimizationJobsPaginator(Consumer<ListOptimizationJobsRequest.Builder> listOptimizationJobsRequest)	This is a variant of listOptimizationJobs(software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsRequest) operation.
default ListOptimizationJobsIterable	listOptimizationJobsPaginator(ListOptimizationJobsRequest listOptimizationJobsRequest)	This is a variant of listOptimizationJobs(software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsRequest) operation.
default ListPartnerAppsResponse	listPartnerApps(Consumer<ListPartnerAppsRequest.Builder> listPartnerAppsRequest)	Lists all of the SageMaker Partner AI Apps in an account.
default ListPartnerAppsResponse	listPartnerApps(ListPartnerAppsRequest listPartnerAppsRequest)	Lists all of the SageMaker Partner AI Apps in an account.
default ListPartnerAppsIterable	listPartnerAppsPaginator(Consumer<ListPartnerAppsRequest.Builder> listPartnerAppsRequest)	This is a variant of listPartnerApps(software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsRequest) operation.
default ListPartnerAppsIterable	listPartnerAppsPaginator(ListPartnerAppsRequest listPartnerAppsRequest)	This is a variant of listPartnerApps(software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsRequest) operation.
default ListPipelineExecutionsResponse	listPipelineExecutions(Consumer<ListPipelineExecutionsRequest.Builder> listPipelineExecutionsRequest)	Gets a list of the pipeline executions.
default ListPipelineExecutionsResponse	listPipelineExecutions(ListPipelineExecutionsRequest listPipelineExecutionsRequest)	Gets a list of the pipeline executions.
default ListPipelineExecutionsIterable	listPipelineExecutionsPaginator(Consumer<ListPipelineExecutionsRequest.Builder> listPipelineExecutionsRequest)	This is a variant of listPipelineExecutions(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsRequest) operation.
default ListPipelineExecutionsIterable	listPipelineExecutionsPaginator(ListPipelineExecutionsRequest listPipelineExecutionsRequest)	This is a variant of listPipelineExecutions(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsRequest) operation.
default ListPipelineExecutionStepsResponse	listPipelineExecutionSteps(Consumer<ListPipelineExecutionStepsRequest.Builder> listPipelineExecutionStepsRequest)	Gets a list of PipeLineExecutionStep objects.
default ListPipelineExecutionStepsResponse	listPipelineExecutionSteps(ListPipelineExecutionStepsRequest listPipelineExecutionStepsRequest)	Gets a list of PipeLineExecutionStep objects.
default ListPipelineExecutionStepsIterable	listPipelineExecutionStepsPaginator(Consumer<ListPipelineExecutionStepsRequest.Builder> listPipelineExecutionStepsRequest)	This is a variant of listPipelineExecutionSteps(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsRequest) operation.
default ListPipelineExecutionStepsIterable	listPipelineExecutionStepsPaginator(ListPipelineExecutionStepsRequest listPipelineExecutionStepsRequest)	This is a variant of listPipelineExecutionSteps(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsRequest) operation.
default ListPipelineParametersForExecutionResponse	listPipelineParametersForExecution(Consumer<ListPipelineParametersForExecutionRequest.Builder> listPipelineParametersForExecutionRequest)	Gets a list of parameters for a pipeline execution.
default ListPipelineParametersForExecutionResponse	listPipelineParametersForExecution(ListPipelineParametersForExecutionRequest listPipelineParametersForExecutionRequest)	Gets a list of parameters for a pipeline execution.
default ListPipelineParametersForExecutionIterable	listPipelineParametersForExecutionPaginator(Consumer<ListPipelineParametersForExecutionRequest.Builder> listPipelineParametersForExecutionRequest)	This is a variant of listPipelineParametersForExecution(software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionRequest) operation.
default ListPipelineParametersForExecutionIterable	listPipelineParametersForExecutionPaginator(ListPipelineParametersForExecutionRequest listPipelineParametersForExecutionRequest)	This is a variant of listPipelineParametersForExecution(software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionRequest) operation.
default ListPipelinesResponse	listPipelines(Consumer<ListPipelinesRequest.Builder> listPipelinesRequest)	Gets a list of pipelines.
default ListPipelinesResponse	listPipelines(ListPipelinesRequest listPipelinesRequest)	Gets a list of pipelines.
default ListPipelinesIterable	listPipelinesPaginator(Consumer<ListPipelinesRequest.Builder> listPipelinesRequest)	This is a variant of listPipelines(software.amazon.awssdk.services.sagemaker.model.ListPipelinesRequest) operation.
default ListPipelinesIterable	listPipelinesPaginator(ListPipelinesRequest listPipelinesRequest)	This is a variant of listPipelines(software.amazon.awssdk.services.sagemaker.model.ListPipelinesRequest) operation.
default ListPipelineVersionsResponse	listPipelineVersions(Consumer<ListPipelineVersionsRequest.Builder> listPipelineVersionsRequest)	Gets a list of all versions of the pipeline.
default ListPipelineVersionsResponse	listPipelineVersions(ListPipelineVersionsRequest listPipelineVersionsRequest)	Gets a list of all versions of the pipeline.
default ListPipelineVersionsIterable	listPipelineVersionsPaginator(Consumer<ListPipelineVersionsRequest.Builder> listPipelineVersionsRequest)	This is a variant of listPipelineVersions(software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsRequest) operation.
default ListPipelineVersionsIterable	listPipelineVersionsPaginator(ListPipelineVersionsRequest listPipelineVersionsRequest)	This is a variant of listPipelineVersions(software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsRequest) operation.
default ListProcessingJobsResponse	listProcessingJobs(Consumer<ListProcessingJobsRequest.Builder> listProcessingJobsRequest)	Lists processing jobs that satisfy various filters.
default ListProcessingJobsResponse	listProcessingJobs(ListProcessingJobsRequest listProcessingJobsRequest)	Lists processing jobs that satisfy various filters.
default ListProcessingJobsIterable	listProcessingJobsPaginator(Consumer<ListProcessingJobsRequest.Builder> listProcessingJobsRequest)	This is a variant of listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation.
default ListProcessingJobsIterable	listProcessingJobsPaginator(ListProcessingJobsRequest listProcessingJobsRequest)	This is a variant of listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation.
default ListProjectsResponse	listProjects(Consumer<ListProjectsRequest.Builder> listProjectsRequest)	Gets a list of the projects in an Amazon Web Services account.
default ListProjectsResponse	listProjects(ListProjectsRequest listProjectsRequest)	Gets a list of the projects in an Amazon Web Services account.
default ListProjectsIterable	listProjectsPaginator(Consumer<ListProjectsRequest.Builder> listProjectsRequest)	This is a variant of listProjects(software.amazon.awssdk.services.sagemaker.model.ListProjectsRequest) operation.
default ListProjectsIterable	listProjectsPaginator(ListProjectsRequest listProjectsRequest)	This is a variant of listProjects(software.amazon.awssdk.services.sagemaker.model.ListProjectsRequest) operation.
default ListResourceCatalogsResponse	listResourceCatalogs(Consumer<ListResourceCatalogsRequest.Builder> listResourceCatalogsRequest)	Lists Amazon SageMaker Catalogs based on given filters and orders.
default ListResourceCatalogsResponse	listResourceCatalogs(ListResourceCatalogsRequest listResourceCatalogsRequest)	Lists Amazon SageMaker Catalogs based on given filters and orders.
default ListResourceCatalogsIterable	listResourceCatalogsPaginator(Consumer<ListResourceCatalogsRequest.Builder> listResourceCatalogsRequest)	This is a variant of listResourceCatalogs(software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsRequest) operation.
default ListResourceCatalogsIterable	listResourceCatalogsPaginator(ListResourceCatalogsRequest listResourceCatalogsRequest)	This is a variant of listResourceCatalogs(software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsRequest) operation.
default ListSpacesResponse	listSpaces(Consumer<ListSpacesRequest.Builder> listSpacesRequest)	Lists spaces.
default ListSpacesResponse	listSpaces(ListSpacesRequest listSpacesRequest)	Lists spaces.
default ListSpacesIterable	listSpacesPaginator(Consumer<ListSpacesRequest.Builder> listSpacesRequest)	This is a variant of listSpaces(software.amazon.awssdk.services.sagemaker.model.ListSpacesRequest) operation.
default ListSpacesIterable	listSpacesPaginator(ListSpacesRequest listSpacesRequest)	This is a variant of listSpaces(software.amazon.awssdk.services.sagemaker.model.ListSpacesRequest) operation.
default ListStageDevicesResponse	listStageDevices(Consumer<ListStageDevicesRequest.Builder> listStageDevicesRequest)	Lists devices allocated to the stage, containing detailed device information and deployment status.
default ListStageDevicesResponse	listStageDevices(ListStageDevicesRequest listStageDevicesRequest)	Lists devices allocated to the stage, containing detailed device information and deployment status.
default ListStageDevicesIterable	listStageDevicesPaginator(Consumer<ListStageDevicesRequest.Builder> listStageDevicesRequest)	This is a variant of listStageDevices(software.amazon.awssdk.services.sagemaker.model.ListStageDevicesRequest) operation.
default ListStageDevicesIterable	listStageDevicesPaginator(ListStageDevicesRequest listStageDevicesRequest)	This is a variant of listStageDevices(software.amazon.awssdk.services.sagemaker.model.ListStageDevicesRequest) operation.
default ListStudioLifecycleConfigsResponse	listStudioLifecycleConfigs(Consumer<ListStudioLifecycleConfigsRequest.Builder> listStudioLifecycleConfigsRequest)	Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.
default ListStudioLifecycleConfigsResponse	listStudioLifecycleConfigs(ListStudioLifecycleConfigsRequest listStudioLifecycleConfigsRequest)	Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.
default ListStudioLifecycleConfigsIterable	listStudioLifecycleConfigsPaginator(Consumer<ListStudioLifecycleConfigsRequest.Builder> listStudioLifecycleConfigsRequest)	This is a variant of listStudioLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsRequest) operation.
default ListStudioLifecycleConfigsIterable	listStudioLifecycleConfigsPaginator(ListStudioLifecycleConfigsRequest listStudioLifecycleConfigsRequest)	This is a variant of listStudioLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsRequest) operation.
default ListSubscribedWorkteamsResponse	listSubscribedWorkteams()	Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace.
default ListSubscribedWorkteamsResponse	listSubscribedWorkteams(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)	Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace.
default ListSubscribedWorkteamsResponse	listSubscribedWorkteams(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)	Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace.
default ListSubscribedWorkteamsIterable	listSubscribedWorkteamsPaginator()	This is a variant of listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation.
default ListSubscribedWorkteamsIterable	listSubscribedWorkteamsPaginator(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)	This is a variant of listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation.
default ListSubscribedWorkteamsIterable	listSubscribedWorkteamsPaginator(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)	This is a variant of listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation.
default ListTagsResponse	listTags(Consumer<ListTagsRequest.Builder> listTagsRequest)	Returns the tags for the specified SageMaker resource.
default ListTagsResponse	listTags(ListTagsRequest listTagsRequest)	Returns the tags for the specified SageMaker resource.
default ListTagsIterable	listTagsPaginator(Consumer<ListTagsRequest.Builder> listTagsRequest)	This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation.
default ListTagsIterable	listTagsPaginator(ListTagsRequest listTagsRequest)	This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation.
default ListTrainingJobsResponse	listTrainingJobs()	Lists training jobs.
default ListTrainingJobsResponse	listTrainingJobs(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)	Lists training jobs.
default ListTrainingJobsResponse	listTrainingJobs(ListTrainingJobsRequest listTrainingJobsRequest)	Lists training jobs.
default ListTrainingJobsForHyperParameterTuningJobResponse	listTrainingJobsForHyperParameterTuningJob(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)	Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
default ListTrainingJobsForHyperParameterTuningJobResponse	listTrainingJobsForHyperParameterTuningJob(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)	Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
default ListTrainingJobsForHyperParameterTuningJobIterable	listTrainingJobsForHyperParameterTuningJobPaginator(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)	This is a variant of listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest) operation.
default ListTrainingJobsForHyperParameterTuningJobIterable	listTrainingJobsForHyperParameterTuningJobPaginator(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)	This is a variant of listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest) operation.
default ListTrainingJobsIterable	listTrainingJobsPaginator()	This is a variant of listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.
default ListTrainingJobsIterable	listTrainingJobsPaginator(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)	This is a variant of listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.
default ListTrainingJobsIterable	listTrainingJobsPaginator(ListTrainingJobsRequest listTrainingJobsRequest)	This is a variant of listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.
default ListTrainingPlansResponse	listTrainingPlans(Consumer<ListTrainingPlansRequest.Builder> listTrainingPlansRequest)	Retrieves a list of training plans for the current account.
default ListTrainingPlansResponse	listTrainingPlans(ListTrainingPlansRequest listTrainingPlansRequest)	Retrieves a list of training plans for the current account.
default ListTrainingPlansIterable	listTrainingPlansPaginator(Consumer<ListTrainingPlansRequest.Builder> listTrainingPlansRequest)	This is a variant of listTrainingPlans(software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansRequest) operation.
default ListTrainingPlansIterable	listTrainingPlansPaginator(ListTrainingPlansRequest listTrainingPlansRequest)	This is a variant of listTrainingPlans(software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansRequest) operation.
default ListTransformJobsResponse	listTransformJobs()	Lists transform jobs.
default ListTransformJobsResponse	listTransformJobs(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)	Lists transform jobs.
default ListTransformJobsResponse	listTransformJobs(ListTransformJobsRequest listTransformJobsRequest)	Lists transform jobs.
default ListTransformJobsIterable	listTransformJobsPaginator()	This is a variant of listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.
default ListTransformJobsIterable	listTransformJobsPaginator(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)	This is a variant of listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.
default ListTransformJobsIterable	listTransformJobsPaginator(ListTransformJobsRequest listTransformJobsRequest)	This is a variant of listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.
default ListTrialComponentsResponse	listTrialComponents(Consumer<ListTrialComponentsRequest.Builder> listTrialComponentsRequest)	Lists the trial components in your account.
default ListTrialComponentsResponse	listTrialComponents(ListTrialComponentsRequest listTrialComponentsRequest)	Lists the trial components in your account.
default ListTrialComponentsIterable	listTrialComponentsPaginator(Consumer<ListTrialComponentsRequest.Builder> listTrialComponentsRequest)	This is a variant of listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest) operation.
default ListTrialComponentsIterable	listTrialComponentsPaginator(ListTrialComponentsRequest listTrialComponentsRequest)	This is a variant of listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest) operation.
default ListTrialsResponse	listTrials(Consumer<ListTrialsRequest.Builder> listTrialsRequest)	Lists the trials in your account.
default ListTrialsResponse	listTrials(ListTrialsRequest listTrialsRequest)	Lists the trials in your account.
default ListTrialsIterable	listTrialsPaginator(Consumer<ListTrialsRequest.Builder> listTrialsRequest)	This is a variant of listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation.
default ListTrialsIterable	listTrialsPaginator(ListTrialsRequest listTrialsRequest)	This is a variant of listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation.
default ListUltraServersByReservedCapacityResponse	listUltraServersByReservedCapacity(Consumer<ListUltraServersByReservedCapacityRequest.Builder> listUltraServersByReservedCapacityRequest)	Lists all UltraServers that are part of a specified reserved capacity.
default ListUltraServersByReservedCapacityResponse	listUltraServersByReservedCapacity(ListUltraServersByReservedCapacityRequest listUltraServersByReservedCapacityRequest)	Lists all UltraServers that are part of a specified reserved capacity.
default ListUltraServersByReservedCapacityIterable	listUltraServersByReservedCapacityPaginator(Consumer<ListUltraServersByReservedCapacityRequest.Builder> listUltraServersByReservedCapacityRequest)	This is a variant of listUltraServersByReservedCapacity(software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityRequest) operation.
default ListUltraServersByReservedCapacityIterable	listUltraServersByReservedCapacityPaginator(ListUltraServersByReservedCapacityRequest listUltraServersByReservedCapacityRequest)	This is a variant of listUltraServersByReservedCapacity(software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityRequest) operation.
default ListUserProfilesResponse	listUserProfiles(Consumer<ListUserProfilesRequest.Builder> listUserProfilesRequest)	Lists user profiles.
default ListUserProfilesResponse	listUserProfiles(ListUserProfilesRequest listUserProfilesRequest)	Lists user profiles.
default ListUserProfilesIterable	listUserProfilesPaginator(Consumer<ListUserProfilesRequest.Builder> listUserProfilesRequest)	This is a variant of listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation.
default ListUserProfilesIterable	listUserProfilesPaginator(ListUserProfilesRequest listUserProfilesRequest)	This is a variant of listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation.
default ListWorkforcesResponse	listWorkforces(Consumer<ListWorkforcesRequest.Builder> listWorkforcesRequest)	Use this operation to list all private and vendor workforces in an Amazon Web Services Region.
default ListWorkforcesResponse	listWorkforces(ListWorkforcesRequest listWorkforcesRequest)	Use this operation to list all private and vendor workforces in an Amazon Web Services Region.
default ListWorkforcesIterable	listWorkforcesPaginator(Consumer<ListWorkforcesRequest.Builder> listWorkforcesRequest)	This is a variant of listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation.
default ListWorkforcesIterable	listWorkforcesPaginator(ListWorkforcesRequest listWorkforcesRequest)	This is a variant of listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation.
default ListWorkteamsResponse	listWorkteams()	Gets a list of private work teams that you have defined in a region.
default ListWorkteamsResponse	listWorkteams(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)	Gets a list of private work teams that you have defined in a region.
default ListWorkteamsResponse	listWorkteams(ListWorkteamsRequest listWorkteamsRequest)	Gets a list of private work teams that you have defined in a region.
default ListWorkteamsIterable	listWorkteamsPaginator()	This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.
default ListWorkteamsIterable	listWorkteamsPaginator(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)	This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.
default ListWorkteamsIterable	listWorkteamsPaginator(ListWorkteamsRequest listWorkteamsRequest)	This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.
default PutModelPackageGroupPolicyResponse	putModelPackageGroupPolicy(Consumer<PutModelPackageGroupPolicyRequest.Builder> putModelPackageGroupPolicyRequest)	Adds a resouce policy to control access to a model group.
default PutModelPackageGroupPolicyResponse	putModelPackageGroupPolicy(PutModelPackageGroupPolicyRequest putModelPackageGroupPolicyRequest)	Adds a resouce policy to control access to a model group.
default QueryLineageResponse	queryLineage(Consumer<QueryLineageRequest.Builder> queryLineageRequest)	Use this action to inspect your lineage and discover relationships between entities.
default QueryLineageResponse	queryLineage(QueryLineageRequest queryLineageRequest)	Use this action to inspect your lineage and discover relationships between entities.
default QueryLineageIterable	queryLineagePaginator(Consumer<QueryLineageRequest.Builder> queryLineageRequest)	This is a variant of queryLineage(software.amazon.awssdk.services.sagemaker.model.QueryLineageRequest) operation.
default QueryLineageIterable	queryLineagePaginator(QueryLineageRequest queryLineageRequest)	This is a variant of queryLineage(software.amazon.awssdk.services.sagemaker.model.QueryLineageRequest) operation.
default RegisterDevicesResponse	registerDevices(Consumer<RegisterDevicesRequest.Builder> registerDevicesRequest)	Register devices.
default RegisterDevicesResponse	registerDevices(RegisterDevicesRequest registerDevicesRequest)	Register devices.
default RenderUiTemplateResponse	renderUiTemplate(Consumer<RenderUiTemplateRequest.Builder> renderUiTemplateRequest)	Renders the UI template so that you can preview the worker's experience.
default RenderUiTemplateResponse	renderUiTemplate(RenderUiTemplateRequest renderUiTemplateRequest)	Renders the UI template so that you can preview the worker's experience.
default RetryPipelineExecutionResponse	retryPipelineExecution(Consumer<RetryPipelineExecutionRequest.Builder> retryPipelineExecutionRequest)	Retry the execution of the pipeline.
default RetryPipelineExecutionResponse	retryPipelineExecution(RetryPipelineExecutionRequest retryPipelineExecutionRequest)	Retry the execution of the pipeline.
default SearchResponse	search(Consumer<SearchRequest.Builder> searchRequest)	Finds SageMaker resources that match a search query.
default SearchResponse	search(SearchRequest searchRequest)	Finds SageMaker resources that match a search query.
default SearchIterable	searchPaginator(Consumer<SearchRequest.Builder> searchRequest)	This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.
default SearchIterable	searchPaginator(SearchRequest searchRequest)	This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.
default SearchTrainingPlanOfferingsResponse	searchTrainingPlanOfferings(Consumer<SearchTrainingPlanOfferingsRequest.Builder> searchTrainingPlanOfferingsRequest)	Searches for available training plan offerings based on specified criteria.
default SearchTrainingPlanOfferingsResponse	searchTrainingPlanOfferings(SearchTrainingPlanOfferingsRequest searchTrainingPlanOfferingsRequest)	Searches for available training plan offerings based on specified criteria.
default SendPipelineExecutionStepFailureResponse	sendPipelineExecutionStepFailure(Consumer<SendPipelineExecutionStepFailureRequest.Builder> sendPipelineExecutionStepFailureRequest)	Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
default SendPipelineExecutionStepFailureResponse	sendPipelineExecutionStepFailure(SendPipelineExecutionStepFailureRequest sendPipelineExecutionStepFailureRequest)	Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
default SendPipelineExecutionStepSuccessResponse	sendPipelineExecutionStepSuccess(Consumer<SendPipelineExecutionStepSuccessRequest.Builder> sendPipelineExecutionStepSuccessRequest)	Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters.
default SendPipelineExecutionStepSuccessResponse	sendPipelineExecutionStepSuccess(SendPipelineExecutionStepSuccessRequest sendPipelineExecutionStepSuccessRequest)	Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters.
default SageMakerServiceClientConfiguration	serviceClientConfiguration()	The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration
static ServiceMetadata	serviceMetadata()
default StartEdgeDeploymentStageResponse	startEdgeDeploymentStage(Consumer<StartEdgeDeploymentStageRequest.Builder> startEdgeDeploymentStageRequest)	Starts a stage in an edge deployment plan.
default StartEdgeDeploymentStageResponse	startEdgeDeploymentStage(StartEdgeDeploymentStageRequest startEdgeDeploymentStageRequest)	Starts a stage in an edge deployment plan.
default StartInferenceExperimentResponse	startInferenceExperiment(Consumer<StartInferenceExperimentRequest.Builder> startInferenceExperimentRequest)	Starts an inference experiment.
default StartInferenceExperimentResponse	startInferenceExperiment(StartInferenceExperimentRequest startInferenceExperimentRequest)	Starts an inference experiment.
default StartMlflowTrackingServerResponse	startMlflowTrackingServer(Consumer<StartMlflowTrackingServerRequest.Builder> startMlflowTrackingServerRequest)	Programmatically start an MLflow Tracking Server.
default StartMlflowTrackingServerResponse	startMlflowTrackingServer(StartMlflowTrackingServerRequest startMlflowTrackingServerRequest)	Programmatically start an MLflow Tracking Server.
default StartMonitoringScheduleResponse	startMonitoringSchedule(Consumer<StartMonitoringScheduleRequest.Builder> startMonitoringScheduleRequest)	Starts a previously stopped monitoring schedule.
default StartMonitoringScheduleResponse	startMonitoringSchedule(StartMonitoringScheduleRequest startMonitoringScheduleRequest)	Starts a previously stopped monitoring schedule.
default 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 StartNotebookInstanceResponse	startNotebookInstance(StartNotebookInstanceRequest startNotebookInstanceRequest)	Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
default StartPipelineExecutionResponse	startPipelineExecution(Consumer<StartPipelineExecutionRequest.Builder> startPipelineExecutionRequest)	Starts a pipeline execution.
default StartPipelineExecutionResponse	startPipelineExecution(StartPipelineExecutionRequest startPipelineExecutionRequest)	Starts a pipeline execution.
default StartSessionResponse	startSession(Consumer<StartSessionRequest.Builder> startSessionRequest)	Initiates a remote connection session between a local integrated development environments (IDEs) and a remote SageMaker space.
default StartSessionResponse	startSession(StartSessionRequest startSessionRequest)	Initiates a remote connection session between a local integrated development environments (IDEs) and a remote SageMaker space.
default StopAutoMlJobResponse	stopAutoMLJob(Consumer<StopAutoMlJobRequest.Builder> stopAutoMlJobRequest)	A method for forcing a running job to shut down.
default StopAutoMlJobResponse	stopAutoMLJob(StopAutoMlJobRequest stopAutoMlJobRequest)	A method for forcing a running job to shut down.
default StopCompilationJobResponse	stopCompilationJob(Consumer<StopCompilationJobRequest.Builder> stopCompilationJobRequest)	Stops a model compilation job.
default StopCompilationJobResponse	stopCompilationJob(StopCompilationJobRequest stopCompilationJobRequest)	Stops a model compilation job.
default StopEdgeDeploymentStageResponse	stopEdgeDeploymentStage(Consumer<StopEdgeDeploymentStageRequest.Builder> stopEdgeDeploymentStageRequest)	Stops a stage in an edge deployment plan.
default StopEdgeDeploymentStageResponse	stopEdgeDeploymentStage(StopEdgeDeploymentStageRequest stopEdgeDeploymentStageRequest)	Stops a stage in an edge deployment plan.
default StopEdgePackagingJobResponse	stopEdgePackagingJob(Consumer<StopEdgePackagingJobRequest.Builder> stopEdgePackagingJobRequest)	Request to stop an edge packaging job.
default StopEdgePackagingJobResponse	stopEdgePackagingJob(StopEdgePackagingJobRequest stopEdgePackagingJobRequest)	Request to stop an edge packaging job.
default StopHyperParameterTuningJobResponse	stopHyperParameterTuningJob(Consumer<StopHyperParameterTuningJobRequest.Builder> stopHyperParameterTuningJobRequest)	Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
default StopHyperParameterTuningJobResponse	stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest stopHyperParameterTuningJobRequest)	Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
default StopInferenceExperimentResponse	stopInferenceExperiment(Consumer<StopInferenceExperimentRequest.Builder> stopInferenceExperimentRequest)	Stops an inference experiment.
default StopInferenceExperimentResponse	stopInferenceExperiment(StopInferenceExperimentRequest stopInferenceExperimentRequest)	Stops an inference experiment.
default StopInferenceRecommendationsJobResponse	stopInferenceRecommendationsJob(Consumer<StopInferenceRecommendationsJobRequest.Builder> stopInferenceRecommendationsJobRequest)	Stops an Inference Recommender job.
default StopInferenceRecommendationsJobResponse	stopInferenceRecommendationsJob(StopInferenceRecommendationsJobRequest stopInferenceRecommendationsJobRequest)	Stops an Inference Recommender job.
default StopLabelingJobResponse	stopLabelingJob(Consumer<StopLabelingJobRequest.Builder> stopLabelingJobRequest)	Stops a running labeling job.
default StopLabelingJobResponse	stopLabelingJob(StopLabelingJobRequest stopLabelingJobRequest)	Stops a running labeling job.
default StopMlflowTrackingServerResponse	stopMlflowTrackingServer(Consumer<StopMlflowTrackingServerRequest.Builder> stopMlflowTrackingServerRequest)	Programmatically stop an MLflow Tracking Server.
default StopMlflowTrackingServerResponse	stopMlflowTrackingServer(StopMlflowTrackingServerRequest stopMlflowTrackingServerRequest)	Programmatically stop an MLflow Tracking Server.
default StopMonitoringScheduleResponse	stopMonitoringSchedule(Consumer<StopMonitoringScheduleRequest.Builder> stopMonitoringScheduleRequest)	Stops a previously started monitoring schedule.
default StopMonitoringScheduleResponse	stopMonitoringSchedule(StopMonitoringScheduleRequest stopMonitoringScheduleRequest)	Stops a previously started monitoring schedule.
default StopNotebookInstanceResponse	stopNotebookInstance(Consumer<StopNotebookInstanceRequest.Builder> stopNotebookInstanceRequest)	Terminates the ML compute instance.
default StopNotebookInstanceResponse	stopNotebookInstance(StopNotebookInstanceRequest stopNotebookInstanceRequest)	Terminates the ML compute instance.
default StopOptimizationJobResponse	stopOptimizationJob(Consumer<StopOptimizationJobRequest.Builder> stopOptimizationJobRequest)	Ends a running inference optimization job.
default StopOptimizationJobResponse	stopOptimizationJob(StopOptimizationJobRequest stopOptimizationJobRequest)	Ends a running inference optimization job.
default StopPipelineExecutionResponse	stopPipelineExecution(Consumer<StopPipelineExecutionRequest.Builder> stopPipelineExecutionRequest)	Stops a pipeline execution.
default StopPipelineExecutionResponse	stopPipelineExecution(StopPipelineExecutionRequest stopPipelineExecutionRequest)	Stops a pipeline execution.
default StopProcessingJobResponse	stopProcessingJob(Consumer<StopProcessingJobRequest.Builder> stopProcessingJobRequest)	Stops a processing job.
default StopProcessingJobResponse	stopProcessingJob(StopProcessingJobRequest stopProcessingJobRequest)	Stops a processing job.
default StopTrainingJobResponse	stopTrainingJob(Consumer<StopTrainingJobRequest.Builder> stopTrainingJobRequest)	Stops a training job.
default StopTrainingJobResponse	stopTrainingJob(StopTrainingJobRequest stopTrainingJobRequest)	Stops a training job.
default StopTransformJobResponse	stopTransformJob(Consumer<StopTransformJobRequest.Builder> stopTransformJobRequest)	Stops a batch transform job.
default StopTransformJobResponse	stopTransformJob(StopTransformJobRequest stopTransformJobRequest)	Stops a batch transform job.
default UpdateActionResponse	updateAction(Consumer<UpdateActionRequest.Builder> updateActionRequest)	Updates an action.
default UpdateActionResponse	updateAction(UpdateActionRequest updateActionRequest)	Updates an action.
default UpdateAppImageConfigResponse	updateAppImageConfig(Consumer<UpdateAppImageConfigRequest.Builder> updateAppImageConfigRequest)	Updates the properties of an AppImageConfig.
default UpdateAppImageConfigResponse	updateAppImageConfig(UpdateAppImageConfigRequest updateAppImageConfigRequest)	Updates the properties of an AppImageConfig.
default UpdateArtifactResponse	updateArtifact(Consumer<UpdateArtifactRequest.Builder> updateArtifactRequest)	Updates an artifact.
default UpdateArtifactResponse	updateArtifact(UpdateArtifactRequest updateArtifactRequest)	Updates an artifact.
default UpdateClusterResponse	updateCluster(Consumer<UpdateClusterRequest.Builder> updateClusterRequest)	Updates a SageMaker HyperPod cluster.
default UpdateClusterResponse	updateCluster(UpdateClusterRequest updateClusterRequest)	Updates a SageMaker HyperPod cluster.
default UpdateClusterSchedulerConfigResponse	updateClusterSchedulerConfig(Consumer<UpdateClusterSchedulerConfigRequest.Builder> updateClusterSchedulerConfigRequest)	Update the cluster policy configuration.
default UpdateClusterSchedulerConfigResponse	updateClusterSchedulerConfig(UpdateClusterSchedulerConfigRequest updateClusterSchedulerConfigRequest)	Update the cluster policy configuration.
default UpdateClusterSoftwareResponse	updateClusterSoftware(Consumer<UpdateClusterSoftwareRequest.Builder> updateClusterSoftwareRequest)	Updates the platform software of a SageMaker HyperPod cluster for security patching.
default UpdateClusterSoftwareResponse	updateClusterSoftware(UpdateClusterSoftwareRequest updateClusterSoftwareRequest)	Updates the platform software of a SageMaker HyperPod cluster for security patching.
default UpdateCodeRepositoryResponse	updateCodeRepository(Consumer<UpdateCodeRepositoryRequest.Builder> updateCodeRepositoryRequest)	Updates the specified Git repository with the specified values.
default UpdateCodeRepositoryResponse	updateCodeRepository(UpdateCodeRepositoryRequest updateCodeRepositoryRequest)	Updates the specified Git repository with the specified values.
default UpdateComputeQuotaResponse	updateComputeQuota(Consumer<UpdateComputeQuotaRequest.Builder> updateComputeQuotaRequest)	Update the compute allocation definition.
default UpdateComputeQuotaResponse	updateComputeQuota(UpdateComputeQuotaRequest updateComputeQuotaRequest)	Update the compute allocation definition.
default UpdateContextResponse	updateContext(Consumer<UpdateContextRequest.Builder> updateContextRequest)	Updates a context.
default UpdateContextResponse	updateContext(UpdateContextRequest updateContextRequest)	Updates a context.
default UpdateDeviceFleetResponse	updateDeviceFleet(Consumer<UpdateDeviceFleetRequest.Builder> updateDeviceFleetRequest)	Updates a fleet of devices.
default UpdateDeviceFleetResponse	updateDeviceFleet(UpdateDeviceFleetRequest updateDeviceFleetRequest)	Updates a fleet of devices.
default UpdateDevicesResponse	updateDevices(Consumer<UpdateDevicesRequest.Builder> updateDevicesRequest)	Updates one or more devices in a fleet.
default UpdateDevicesResponse	updateDevices(UpdateDevicesRequest updateDevicesRequest)	Updates one or more devices in a fleet.
default UpdateDomainResponse	updateDomain(Consumer<UpdateDomainRequest.Builder> updateDomainRequest)	Updates the default settings for new user profiles in the domain.
default UpdateDomainResponse	updateDomain(UpdateDomainRequest updateDomainRequest)	Updates the default settings for new user profiles in the domain.
default UpdateEndpointResponse	updateEndpoint(Consumer<UpdateEndpointRequest.Builder> updateEndpointRequest)	Deploys the EndpointConfig specified in the request to a new fleet of instances.
default UpdateEndpointResponse	updateEndpoint(UpdateEndpointRequest updateEndpointRequest)	Deploys the EndpointConfig specified in the request to a new fleet of instances.
default 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 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 UpdateExperimentResponse	updateExperiment(Consumer<UpdateExperimentRequest.Builder> updateExperimentRequest)	Adds, updates, or removes the description of an experiment.
default UpdateExperimentResponse	updateExperiment(UpdateExperimentRequest updateExperimentRequest)	Adds, updates, or removes the description of an experiment.
default UpdateFeatureGroupResponse	updateFeatureGroup(Consumer<UpdateFeatureGroupRequest.Builder> updateFeatureGroupRequest)	Updates the feature group by either adding features or updating the online store configuration.
default UpdateFeatureGroupResponse	updateFeatureGroup(UpdateFeatureGroupRequest updateFeatureGroupRequest)	Updates the feature group by either adding features or updating the online store configuration.
default UpdateFeatureMetadataResponse	updateFeatureMetadata(Consumer<UpdateFeatureMetadataRequest.Builder> updateFeatureMetadataRequest)	Updates the description and parameters of the feature group.
default UpdateFeatureMetadataResponse	updateFeatureMetadata(UpdateFeatureMetadataRequest updateFeatureMetadataRequest)	Updates the description and parameters of the feature group.
default UpdateHubResponse	updateHub(Consumer<UpdateHubRequest.Builder> updateHubRequest)	Update a hub.
default UpdateHubResponse	updateHub(UpdateHubRequest updateHubRequest)	Update a hub.
default UpdateHubContentResponse	updateHubContent(Consumer<UpdateHubContentRequest.Builder> updateHubContentRequest)	Updates SageMaker hub content (either a Model or Notebook resource).
default UpdateHubContentResponse	updateHubContent(UpdateHubContentRequest updateHubContentRequest)	Updates SageMaker hub content (either a Model or Notebook resource).
default UpdateHubContentReferenceResponse	updateHubContentReference(Consumer<UpdateHubContentReferenceRequest.Builder> updateHubContentReferenceRequest)	Updates the contents of a SageMaker hub for a ModelReference resource.
default UpdateHubContentReferenceResponse	updateHubContentReference(UpdateHubContentReferenceRequest updateHubContentReferenceRequest)	Updates the contents of a SageMaker hub for a ModelReference resource.
default UpdateImageResponse	updateImage(Consumer<UpdateImageRequest.Builder> updateImageRequest)	Updates the properties of a SageMaker AI image.
default UpdateImageResponse	updateImage(UpdateImageRequest updateImageRequest)	Updates the properties of a SageMaker AI image.
default UpdateImageVersionResponse	updateImageVersion(Consumer<UpdateImageVersionRequest.Builder> updateImageVersionRequest)	Updates the properties of a SageMaker AI image version.
default UpdateImageVersionResponse	updateImageVersion(UpdateImageVersionRequest updateImageVersionRequest)	Updates the properties of a SageMaker AI image version.
default UpdateInferenceComponentResponse	updateInferenceComponent(Consumer<UpdateInferenceComponentRequest.Builder> updateInferenceComponentRequest)	Updates an inference component.
default UpdateInferenceComponentResponse	updateInferenceComponent(UpdateInferenceComponentRequest updateInferenceComponentRequest)	Updates an inference component.
default UpdateInferenceComponentRuntimeConfigResponse	updateInferenceComponentRuntimeConfig(Consumer<UpdateInferenceComponentRuntimeConfigRequest.Builder> updateInferenceComponentRuntimeConfigRequest)	Runtime settings for a model that is deployed with an inference component.
default UpdateInferenceComponentRuntimeConfigResponse	updateInferenceComponentRuntimeConfig(UpdateInferenceComponentRuntimeConfigRequest updateInferenceComponentRuntimeConfigRequest)	Runtime settings for a model that is deployed with an inference component.
default UpdateInferenceExperimentResponse	updateInferenceExperiment(Consumer<UpdateInferenceExperimentRequest.Builder> updateInferenceExperimentRequest)	Updates an inference experiment that you created.
default UpdateInferenceExperimentResponse	updateInferenceExperiment(UpdateInferenceExperimentRequest updateInferenceExperimentRequest)	Updates an inference experiment that you created.
default UpdateMlflowTrackingServerResponse	updateMlflowTrackingServer(Consumer<UpdateMlflowTrackingServerRequest.Builder> updateMlflowTrackingServerRequest)	Updates properties of an existing MLflow Tracking Server.
default UpdateMlflowTrackingServerResponse	updateMlflowTrackingServer(UpdateMlflowTrackingServerRequest updateMlflowTrackingServerRequest)	Updates properties of an existing MLflow Tracking Server.
default UpdateModelCardResponse	updateModelCard(Consumer<UpdateModelCardRequest.Builder> updateModelCardRequest)	Update an Amazon SageMaker Model Card.
default UpdateModelCardResponse	updateModelCard(UpdateModelCardRequest updateModelCardRequest)	Update an Amazon SageMaker Model Card.
default UpdateModelPackageResponse	updateModelPackage(Consumer<UpdateModelPackageRequest.Builder> updateModelPackageRequest)	Updates a versioned model.
default UpdateModelPackageResponse	updateModelPackage(UpdateModelPackageRequest updateModelPackageRequest)	Updates a versioned model.
default UpdateMonitoringAlertResponse	updateMonitoringAlert(Consumer<UpdateMonitoringAlertRequest.Builder> updateMonitoringAlertRequest)	Update the parameters of a model monitor alert.
default UpdateMonitoringAlertResponse	updateMonitoringAlert(UpdateMonitoringAlertRequest updateMonitoringAlertRequest)	Update the parameters of a model monitor alert.
default UpdateMonitoringScheduleResponse	updateMonitoringSchedule(Consumer<UpdateMonitoringScheduleRequest.Builder> updateMonitoringScheduleRequest)	Updates a previously created schedule.
default UpdateMonitoringScheduleResponse	updateMonitoringSchedule(UpdateMonitoringScheduleRequest updateMonitoringScheduleRequest)	Updates a previously created schedule.
default UpdateNotebookInstanceResponse	updateNotebookInstance(Consumer<UpdateNotebookInstanceRequest.Builder> updateNotebookInstanceRequest)	Updates a notebook instance.
default UpdateNotebookInstanceResponse	updateNotebookInstance(UpdateNotebookInstanceRequest updateNotebookInstanceRequest)	Updates a notebook instance.
default UpdateNotebookInstanceLifecycleConfigResponse	updateNotebookInstanceLifecycleConfig(Consumer<UpdateNotebookInstanceLifecycleConfigRequest.Builder> updateNotebookInstanceLifecycleConfigRequest)	Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
default UpdateNotebookInstanceLifecycleConfigResponse	updateNotebookInstanceLifecycleConfig(UpdateNotebookInstanceLifecycleConfigRequest updateNotebookInstanceLifecycleConfigRequest)	Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
default UpdatePartnerAppResponse	updatePartnerApp(Consumer<UpdatePartnerAppRequest.Builder> updatePartnerAppRequest)	Updates all of the SageMaker Partner AI Apps in an account.
default UpdatePartnerAppResponse	updatePartnerApp(UpdatePartnerAppRequest updatePartnerAppRequest)	Updates all of the SageMaker Partner AI Apps in an account.
default UpdatePipelineResponse	updatePipeline(Consumer<UpdatePipelineRequest.Builder> updatePipelineRequest)	Updates a pipeline.
default UpdatePipelineResponse	updatePipeline(UpdatePipelineRequest updatePipelineRequest)	Updates a pipeline.
default UpdatePipelineExecutionResponse	updatePipelineExecution(Consumer<UpdatePipelineExecutionRequest.Builder> updatePipelineExecutionRequest)	Updates a pipeline execution.
default UpdatePipelineExecutionResponse	updatePipelineExecution(UpdatePipelineExecutionRequest updatePipelineExecutionRequest)	Updates a pipeline execution.
default UpdatePipelineVersionResponse	updatePipelineVersion(Consumer<UpdatePipelineVersionRequest.Builder> updatePipelineVersionRequest)	Updates a pipeline version.
default UpdatePipelineVersionResponse	updatePipelineVersion(UpdatePipelineVersionRequest updatePipelineVersionRequest)	Updates a pipeline version.
default UpdateProjectResponse	updateProject(Consumer<UpdateProjectRequest.Builder> updateProjectRequest)	Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
default UpdateProjectResponse	updateProject(UpdateProjectRequest updateProjectRequest)	Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
default UpdateSpaceResponse	updateSpace(Consumer<UpdateSpaceRequest.Builder> updateSpaceRequest)	Updates the settings of a space.
default UpdateSpaceResponse	updateSpace(UpdateSpaceRequest updateSpaceRequest)	Updates the settings of a space.
default UpdateTrainingJobResponse	updateTrainingJob(Consumer<UpdateTrainingJobRequest.Builder> updateTrainingJobRequest)	Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
default UpdateTrainingJobResponse	updateTrainingJob(UpdateTrainingJobRequest updateTrainingJobRequest)	Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
default UpdateTrialResponse	updateTrial(Consumer<UpdateTrialRequest.Builder> updateTrialRequest)	Updates the display name of a trial.
default UpdateTrialResponse	updateTrial(UpdateTrialRequest updateTrialRequest)	Updates the display name of a trial.
default UpdateTrialComponentResponse	updateTrialComponent(Consumer<UpdateTrialComponentRequest.Builder> updateTrialComponentRequest)	Updates one or more properties of a trial component.
default UpdateTrialComponentResponse	updateTrialComponent(UpdateTrialComponentRequest updateTrialComponentRequest)	Updates one or more properties of a trial component.
default UpdateUserProfileResponse	updateUserProfile(Consumer<UpdateUserProfileRequest.Builder> updateUserProfileRequest)	Updates a user profile.
default UpdateUserProfileResponse	updateUserProfile(UpdateUserProfileRequest updateUserProfileRequest)	Updates a user profile.
default UpdateWorkforceResponse	updateWorkforce(Consumer<UpdateWorkforceRequest.Builder> updateWorkforceRequest)	Use this operation to update your workforce.
default UpdateWorkforceResponse	updateWorkforce(UpdateWorkforceRequest updateWorkforceRequest)	Use this operation to update your workforce.
default UpdateWorkteamResponse	updateWorkteam(Consumer<UpdateWorkteamRequest.Builder> updateWorkteamRequest)	Updates an existing work team with new member definitions or description.
default UpdateWorkteamResponse	updateWorkteam(UpdateWorkteamRequest updateWorkteamRequest)	Updates an existing work team with new member definitions or description.
default SageMakerWaiter	waiter()	Create an instance of SageMakerWaiter using this client.

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable

close

Methods inherited from interface software.amazon.awssdk.core.SdkClient

serviceName

Field Details

SERVICE_NAME

static final String SERVICE_NAME

See Also:

• Constant Field Values

SERVICE_METADATA_ID

static final String SERVICE_METADATA_ID

Value for looking up the service's metadata from the ServiceMetadataProvider.

See Also:

• Constant Field Values

Method Details

addAssociation

default AddAssociationResponse addAssociation(AddAssociationRequest addAssociationRequest)
                                       throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.

Parameters:

addAssociationRequest -

Returns:

Result of the AddAssociation operation returned by the service.

See Also:

• AWS API Documentation

addAssociation

default AddAssociationResponse addAssociation(Consumer<AddAssociationRequest.Builder> addAssociationRequest)
                                       throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.

This is a convenience which creates an instance of the AddAssociationRequest.Builder avoiding the need to create one manually via AddAssociationRequest.builder()

Parameters:

addAssociationRequest - A Consumer that will call methods on AddAssociationRequest.Builder to create a request.

Returns:

Result of the AddAssociation operation returned by the service.

See Also:

• AWS API Documentation

addTags

default AddTagsResponse addTags(AddTagsRequest addTagsRequest)
                         throws AwsServiceException,
SdkClientException,
SageMakerException

Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, 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 Amazon Web Services 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

Tags that you add to a SageMaker Domain or User Profile by calling this API are also added to any Apps that the Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile launched before you called this API. To make sure that the tags associated with a Domain or User Profile are also added to all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User Profile by specifying them in the Tags parameter of CreateDomain or CreateUserProfile.

Parameters:

addTagsRequest -

Returns:

Result of the AddTags operation returned by the service.

See Also:

• AWS API Documentation

addTags

default AddTagsResponse addTags(Consumer<AddTagsRequest.Builder> addTagsRequest)
                         throws AwsServiceException,
SdkClientException,
SageMakerException

Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, 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 Amazon Web Services 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

Tags that you add to a SageMaker Domain or User Profile by calling this API are also added to any Apps that the Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile launched before you called this API. To make sure that the tags associated with a Domain or User Profile are also added to all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User Profile by specifying them in the Tags parameter of CreateDomain or CreateUserProfile.

This is a convenience which creates an instance of the AddTagsRequest.Builder avoiding the need to create one manually via AddTagsRequest.builder()

Parameters:

addTagsRequest - A Consumer that will call methods on AddTagsRequest.Builder to create a request.

Returns:

Result of the AddTags operation returned by the service.

See Also:

• AWS API Documentation

associateTrialComponent

default AssociateTrialComponentResponse associateTrialComponent(AssociateTrialComponentRequest associateTrialComponentRequest)
                                                         throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.

Parameters:

associateTrialComponentRequest -

Returns:

Result of the AssociateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

associateTrialComponent

default AssociateTrialComponentResponse associateTrialComponent(Consumer<AssociateTrialComponentRequest.Builder> associateTrialComponentRequest)
                                                         throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.

This is a convenience which creates an instance of the AssociateTrialComponentRequest.Builder avoiding the need to create one manually via AssociateTrialComponentRequest.builder()

Parameters:

associateTrialComponentRequest - A Consumer that will call methods on AssociateTrialComponentRequest.Builder to create a request.

Returns:

Result of the AssociateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

attachClusterNodeVolume

default AttachClusterNodeVolumeResponse attachClusterNodeVolume(AttachClusterNodeVolumeRequest attachClusterNodeVolumeRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Attaches your Amazon Elastic Block Store (Amazon EBS) volume to a node in your EKS orchestrated HyperPod cluster.

This API works with the Amazon Elastic Block Store (Amazon EBS) Container Storage Interface (CSI) driver to manage the lifecycle of persistent storage in your HyperPod EKS clusters.

Parameters:

attachClusterNodeVolumeRequest -

Returns:

Result of the AttachClusterNodeVolume operation returned by the service.

See Also:

• AWS API Documentation

attachClusterNodeVolume

default AttachClusterNodeVolumeResponse attachClusterNodeVolume(Consumer<AttachClusterNodeVolumeRequest.Builder> attachClusterNodeVolumeRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Attaches your Amazon Elastic Block Store (Amazon EBS) volume to a node in your EKS orchestrated HyperPod cluster.

This API works with the Amazon Elastic Block Store (Amazon EBS) Container Storage Interface (CSI) driver to manage the lifecycle of persistent storage in your HyperPod EKS clusters.

This is a convenience which creates an instance of the AttachClusterNodeVolumeRequest.Builder avoiding the need to create one manually via AttachClusterNodeVolumeRequest.builder()

Parameters:

attachClusterNodeVolumeRequest - A Consumer that will call methods on AttachClusterNodeVolumeRequest.Builder to create a request.

Returns:

Result of the AttachClusterNodeVolume operation returned by the service.

See Also:

• AWS API Documentation

batchAddClusterNodes

default BatchAddClusterNodesResponse batchAddClusterNodes(BatchAddClusterNodesRequest batchAddClusterNodesRequest)
                                                   throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Adds nodes to a HyperPod cluster by incrementing the target count for one or more instance groups. This operation returns a unique NodeLogicalId for each node being added, which can be used to track the provisioning status of the node. This API provides a safer alternative to UpdateCluster for scaling operations by avoiding unintended configuration changes.

This API is only supported for clusters using Continuous as the NodeProvisioningMode.

Parameters:

batchAddClusterNodesRequest -

Returns:

Result of the BatchAddClusterNodes operation returned by the service.

See Also:

• AWS API Documentation

batchAddClusterNodes

default BatchAddClusterNodesResponse batchAddClusterNodes(Consumer<BatchAddClusterNodesRequest.Builder> batchAddClusterNodesRequest)
                                                   throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Adds nodes to a HyperPod cluster by incrementing the target count for one or more instance groups. This operation returns a unique NodeLogicalId for each node being added, which can be used to track the provisioning status of the node. This API provides a safer alternative to UpdateCluster for scaling operations by avoiding unintended configuration changes.

This API is only supported for clusters using Continuous as the NodeProvisioningMode.

This is a convenience which creates an instance of the BatchAddClusterNodesRequest.Builder avoiding the need to create one manually via BatchAddClusterNodesRequest.builder()

Parameters:

batchAddClusterNodesRequest - A Consumer that will call methods on BatchAddClusterNodesRequest.Builder to create a request.

Returns:

Result of the BatchAddClusterNodes operation returned by the service.

See Also:

• AWS API Documentation

batchDeleteClusterNodes

default BatchDeleteClusterNodesResponse batchDeleteClusterNodes(BatchDeleteClusterNodesRequest batchDeleteClusterNodesRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes specific nodes within a SageMaker HyperPod cluster. BatchDeleteClusterNodes accepts a cluster name and a list of node IDs.

• To safeguard your work, back up your data to Amazon S3 or an FSx for Lustre file system before invoking the API on a worker node group. This will help prevent any potential data loss from the instance root volume. For more information about backup, see Use the backup script provided by SageMaker HyperPod.

• If you want to invoke this API on an existing cluster, you'll first need to patch the cluster by running the UpdateClusterSoftware API. For more information about patching a cluster, see Update the SageMaker HyperPod platform software of a cluster.

Parameters:

batchDeleteClusterNodesRequest -

Returns:

Result of the BatchDeleteClusterNodes operation returned by the service.

See Also:

• AWS API Documentation

batchDeleteClusterNodes

default BatchDeleteClusterNodesResponse batchDeleteClusterNodes(Consumer<BatchDeleteClusterNodesRequest.Builder> batchDeleteClusterNodesRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes specific nodes within a SageMaker HyperPod cluster. BatchDeleteClusterNodes accepts a cluster name and a list of node IDs.

• To safeguard your work, back up your data to Amazon S3 or an FSx for Lustre file system before invoking the API on a worker node group. This will help prevent any potential data loss from the instance root volume. For more information about backup, see Use the backup script provided by SageMaker HyperPod.

• If you want to invoke this API on an existing cluster, you'll first need to patch the cluster by running the UpdateClusterSoftware API. For more information about patching a cluster, see Update the SageMaker HyperPod platform software of a cluster.

This is a convenience which creates an instance of the BatchDeleteClusterNodesRequest.Builder avoiding the need to create one manually via BatchDeleteClusterNodesRequest.builder()

Parameters:

batchDeleteClusterNodesRequest - A Consumer that will call methods on BatchDeleteClusterNodesRequest.Builder to create a request.

Returns:

Result of the BatchDeleteClusterNodes operation returned by the service.

See Also:

• AWS API Documentation

batchDescribeModelPackage

default BatchDescribeModelPackageResponse batchDescribeModelPackage(BatchDescribeModelPackageRequest batchDescribeModelPackageRequest)
                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

This action batch describes a list of versioned model packages

Parameters:

batchDescribeModelPackageRequest -

Returns:

Result of the BatchDescribeModelPackage operation returned by the service.

See Also:

• AWS API Documentation

batchDescribeModelPackage

default BatchDescribeModelPackageResponse batchDescribeModelPackage(Consumer<BatchDescribeModelPackageRequest.Builder> batchDescribeModelPackageRequest)
                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

This action batch describes a list of versioned model packages

This is a convenience which creates an instance of the BatchDescribeModelPackageRequest.Builder avoiding the need to create one manually via BatchDescribeModelPackageRequest.builder()

Parameters:

batchDescribeModelPackageRequest - A Consumer that will call methods on BatchDescribeModelPackageRequest.Builder to create a request.

Returns:

Result of the BatchDescribeModelPackage operation returned by the service.

See Also:

• AWS API Documentation

createAction

default CreateActionResponse createAction(CreateActionRequest createActionRequest)
                                   throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at least one input or output artifact. For more information, see Amazon SageMaker ML Lineage Tracking.

Parameters:

createActionRequest -

Returns:

Result of the CreateAction operation returned by the service.

See Also:

• AWS API Documentation

createAction

default CreateActionResponse createAction(Consumer<CreateActionRequest.Builder> createActionRequest)
                                   throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at least one input or output artifact. For more information, see Amazon SageMaker ML Lineage Tracking.

This is a convenience which creates an instance of the CreateActionRequest.Builder avoiding the need to create one manually via CreateActionRequest.builder()

Parameters:

createActionRequest - A Consumer that will call methods on CreateActionRequest.Builder to create a request.

Returns:

Result of the CreateAction operation returned by the service.

See Also:

• AWS API Documentation

createAlgorithm

default CreateAlgorithmResponse createAlgorithm(CreateAlgorithmRequest createAlgorithmRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.

Parameters:

createAlgorithmRequest -

Returns:

Result of the CreateAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

createAlgorithm

default CreateAlgorithmResponse createAlgorithm(Consumer<CreateAlgorithmRequest.Builder> createAlgorithmRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.

This is a convenience which creates an instance of the CreateAlgorithmRequest.Builder avoiding the need to create one manually via CreateAlgorithmRequest.builder()

Parameters:

createAlgorithmRequest - A Consumer that will call methods on CreateAlgorithmRequest.Builder to create a request.

Returns:

Result of the CreateAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

createApp

default CreateAppResponse createApp(CreateAppRequest createAppRequest)
                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.

Parameters:

createAppRequest -

Returns:

Result of the CreateApp operation returned by the service.

See Also:

• AWS API Documentation

createApp

default CreateAppResponse createApp(Consumer<CreateAppRequest.Builder> createAppRequest)
                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker AI upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.

This is a convenience which creates an instance of the CreateAppRequest.Builder avoiding the need to create one manually via CreateAppRequest.builder()

Parameters:

createAppRequest - A Consumer that will call methods on CreateAppRequest.Builder to create a request.

Returns:

Result of the CreateApp operation returned by the service.

See Also:

• AWS API Documentation

createAppImageConfig

default CreateAppImageConfigResponse createAppImageConfig(CreateAppImageConfigRequest createAppImageConfigRequest)
                                                   throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a configuration for running a SageMaker AI image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.

Parameters:

createAppImageConfigRequest -

Returns:

Result of the CreateAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

createAppImageConfig

default CreateAppImageConfigResponse createAppImageConfig(Consumer<CreateAppImageConfigRequest.Builder> createAppImageConfigRequest)
                                                   throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a configuration for running a SageMaker AI image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.

This is a convenience which creates an instance of the CreateAppImageConfigRequest.Builder avoiding the need to create one manually via CreateAppImageConfigRequest.builder()

Parameters:

createAppImageConfigRequest - A Consumer that will call methods on CreateAppImageConfigRequest.Builder to create a request.

Returns:

Result of the CreateAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

createArtifact

default CreateArtifactResponse createArtifact(CreateArtifactRequest createArtifactRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path of an image. For more information, see Amazon SageMaker ML Lineage Tracking.

Parameters:

createArtifactRequest -

Returns:

Result of the CreateArtifact operation returned by the service.

See Also:

• AWS API Documentation

createArtifact

default CreateArtifactResponse createArtifact(Consumer<CreateArtifactRequest.Builder> createArtifactRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path of an image. For more information, see Amazon SageMaker ML Lineage Tracking.

This is a convenience which creates an instance of the CreateArtifactRequest.Builder avoiding the need to create one manually via CreateArtifactRequest.builder()

Parameters:

createArtifactRequest - A Consumer that will call methods on CreateArtifactRequest.Builder to create a request.

Returns:

Result of the CreateArtifact operation returned by the service.

See Also:

• AWS API Documentation

createAutoMLJob

default CreateAutoMlJobResponse createAutoMLJob(CreateAutoMlJobRequest createAutoMlJobRequest)
                                         throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.

An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.

For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.

We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.

CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).

Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.

You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.

Parameters:

createAutoMlJobRequest -

Returns:

Result of the CreateAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

createAutoMLJob

default CreateAutoMlJobResponse createAutoMLJob(Consumer<CreateAutoMlJobRequest.Builder> createAutoMlJobRequest)
                                         throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.

An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.

For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.

We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.

CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).

Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.

You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.

This is a convenience which creates an instance of the CreateAutoMlJobRequest.Builder avoiding the need to create one manually via CreateAutoMlJobRequest.builder()

Parameters:

createAutoMlJobRequest - A Consumer that will call methods on CreateAutoMlJobRequest.Builder to create a request.

Returns:

Result of the CreateAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

createAutoMLJobV2

default CreateAutoMlJobV2Response createAutoMLJobV2(CreateAutoMlJobV2Request createAutoMlJobV2Request)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.

An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.

For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.

AutoML jobs V2 support various problem types such as regression, binary, and multiclass classification with tabular data, text and image classification, time-series forecasting, and fine-tuning of large language models (LLMs) for text generation.

CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob and DescribeAutoMLJob which offer backward compatibility.

CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).

Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.

For the list of available problem types supported by CreateAutoMLJobV2, see AutoMLProblemTypeConfig.

You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.

Parameters:

createAutoMlJobV2Request -

Returns:

Result of the CreateAutoMLJobV2 operation returned by the service.

See Also:

• AWS API Documentation

createAutoMLJobV2

default CreateAutoMlJobV2Response createAutoMLJobV2(Consumer<CreateAutoMlJobV2Request.Builder> createAutoMlJobV2Request)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.

An AutoML job in SageMaker AI is a fully automated process that allows you to build machine learning models with minimal effort and machine learning expertise. When initiating an AutoML job, you provide your data and optionally specify parameters tailored to your use case. SageMaker AI then automates the entire model development lifecycle, including data preprocessing, model training, tuning, and evaluation. AutoML jobs are designed to simplify and accelerate the model building process by automating various tasks and exploring different combinations of machine learning algorithms, data preprocessing techniques, and hyperparameter values. The output of an AutoML job comprises one or more trained models ready for deployment and inference. Additionally, SageMaker AI AutoML jobs generate a candidate model leaderboard, allowing you to select the best-performing model for deployment.

For more information about AutoML jobs, see https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-automate-model-development.html in the SageMaker AI developer guide.

AutoML jobs V2 support various problem types such as regression, binary, and multiclass classification with tabular data, text and image classification, time-series forecasting, and fine-tuning of large language models (LLMs) for text generation.

CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob and DescribeAutoMLJob which offer backward compatibility.

CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text classification, and text generation (LLMs fine-tuning).

Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.

For the list of available problem types supported by CreateAutoMLJobV2, see AutoMLProblemTypeConfig.

You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.

This is a convenience which creates an instance of the CreateAutoMlJobV2Request.Builder avoiding the need to create one manually via CreateAutoMlJobV2Request.builder()

Parameters:

createAutoMlJobV2Request - A Consumer that will call methods on CreateAutoMlJobV2Request.Builder to create a request.

Returns:

Result of the CreateAutoMLJobV2 operation returned by the service.

See Also:

• AWS API Documentation

createCluster

default CreateClusterResponse createCluster(CreateClusterRequest createClusterRequest)
                                     throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.

Parameters:

createClusterRequest -

Returns:

Result of the CreateCluster operation returned by the service.

See Also:

• AWS API Documentation

createCluster

default CreateClusterResponse createCluster(Consumer<CreateClusterRequest.Builder> createClusterRequest)
                                     throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.

This is a convenience which creates an instance of the CreateClusterRequest.Builder avoiding the need to create one manually via CreateClusterRequest.builder()

Parameters:

createClusterRequest - A Consumer that will call methods on CreateClusterRequest.Builder to create a request.

Returns:

Result of the CreateCluster operation returned by the service.

See Also:

• AWS API Documentation

createClusterSchedulerConfig

default CreateClusterSchedulerConfigResponse createClusterSchedulerConfig(CreateClusterSchedulerConfigRequest createClusterSchedulerConfigRequest)
                                                                   throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create cluster policy configuration. This policy is used for task prioritization and fair-share allocation of idle compute. This helps prioritize critical workloads and distributes idle compute across entities.

Parameters:

createClusterSchedulerConfigRequest -

Returns:

Result of the CreateClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

createClusterSchedulerConfig

default CreateClusterSchedulerConfigResponse createClusterSchedulerConfig(Consumer<CreateClusterSchedulerConfigRequest.Builder> createClusterSchedulerConfigRequest)
                                                                   throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create cluster policy configuration. This policy is used for task prioritization and fair-share allocation of idle compute. This helps prioritize critical workloads and distributes idle compute across entities.

This is a convenience which creates an instance of the CreateClusterSchedulerConfigRequest.Builder avoiding the need to create one manually via CreateClusterSchedulerConfigRequest.builder()

Parameters:

createClusterSchedulerConfigRequest - A Consumer that will call methods on CreateClusterSchedulerConfigRequest.Builder to create a request.

Returns:

Result of the CreateClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

createCodeRepository

default CreateCodeRepositoryResponse createCodeRepository(CreateCodeRepositoryRequest createCodeRepositoryRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Creates a Git repository as a resource in your SageMaker AI 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 SageMaker AI 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 Amazon Web Services CodeCommit or in any other Git repository.

Parameters:

createCodeRepositoryRequest -

Returns:

Result of the CreateCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

createCodeRepository

default CreateCodeRepositoryResponse createCodeRepository(Consumer<CreateCodeRepositoryRequest.Builder> createCodeRepositoryRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Creates a Git repository as a resource in your SageMaker AI 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 SageMaker AI 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 Amazon Web Services 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()

Parameters:

createCodeRepositoryRequest - A Consumer that will call methods on CreateCodeRepositoryRequest.Builder to create a request.

Returns:

Result of the CreateCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

createCompilationJob

default CreateCompilationJobResponse createCompilationJob(CreateCompilationJobRequest createCompilationJobRequest)
                                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a model compilation job. After the model has been compiled, Amazon SageMaker AI 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 AI hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with Amazon Web Services 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 AI 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.

Parameters:

createCompilationJobRequest -

Returns:

Result of the CreateCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

createCompilationJob

default CreateCompilationJobResponse createCompilationJob(Consumer<CreateCompilationJobRequest.Builder> createCompilationJobRequest)
                                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a model compilation job. After the model has been compiled, Amazon SageMaker AI 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 AI hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with Amazon Web Services 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 AI 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()

Parameters:

createCompilationJobRequest - A Consumer that will call methods on CreateCompilationJobRequest.Builder to create a request.

Returns:

Result of the CreateCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

createComputeQuota

default CreateComputeQuotaResponse createComputeQuota(CreateComputeQuotaRequest createComputeQuotaRequest)
                                               throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create compute allocation definition. This defines how compute is allocated, shared, and borrowed for specified entities. Specifically, how to lend and borrow idle compute and assign a fair-share weight to the specified entities.

Parameters:

createComputeQuotaRequest -

Returns:

Result of the CreateComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

createComputeQuota

default CreateComputeQuotaResponse createComputeQuota(Consumer<CreateComputeQuotaRequest.Builder> createComputeQuotaRequest)
                                               throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create compute allocation definition. This defines how compute is allocated, shared, and borrowed for specified entities. Specifically, how to lend and borrow idle compute and assign a fair-share weight to the specified entities.

This is a convenience which creates an instance of the CreateComputeQuotaRequest.Builder avoiding the need to create one manually via CreateComputeQuotaRequest.builder()

Parameters:

createComputeQuotaRequest - A Consumer that will call methods on CreateComputeQuotaRequest.Builder to create a request.

Returns:

Result of the CreateComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

createContext

default CreateContextResponse createContext(CreateContextRequest createContextRequest)
                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see Amazon SageMaker ML Lineage Tracking.

Parameters:

createContextRequest -

Returns:

Result of the CreateContext operation returned by the service.

See Also:

• AWS API Documentation

createContext

default CreateContextResponse createContext(Consumer<CreateContextRequest.Builder> createContextRequest)
                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see Amazon SageMaker ML Lineage Tracking.

This is a convenience which creates an instance of the CreateContextRequest.Builder avoiding the need to create one manually via CreateContextRequest.builder()

Parameters:

createContextRequest - A Consumer that will call methods on CreateContextRequest.Builder to create a request.

Returns:

Result of the CreateContext operation returned by the service.

See Also:

• AWS API Documentation

createDataQualityJobDefinition

default CreateDataQualityJobDefinitionResponse createDataQualityJobDefinition(CreateDataQualityJobDefinitionRequest createDataQualityJobDefinitionRequest)
                                                                       throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.

Parameters:

createDataQualityJobDefinitionRequest -

Returns:

Result of the CreateDataQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createDataQualityJobDefinition

default CreateDataQualityJobDefinitionResponse createDataQualityJobDefinition(Consumer<CreateDataQualityJobDefinitionRequest.Builder> createDataQualityJobDefinitionRequest)
                                                                       throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.

This is a convenience which creates an instance of the CreateDataQualityJobDefinitionRequest.Builder avoiding the need to create one manually via CreateDataQualityJobDefinitionRequest.builder()

Parameters:

createDataQualityJobDefinitionRequest - A Consumer that will call methods on CreateDataQualityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the CreateDataQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createDeviceFleet

default CreateDeviceFleetResponse createDeviceFleet(CreateDeviceFleetRequest createDeviceFleetRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a device fleet.

Parameters:

createDeviceFleetRequest -

Returns:

Result of the CreateDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

createDeviceFleet

default CreateDeviceFleetResponse createDeviceFleet(Consumer<CreateDeviceFleetRequest.Builder> createDeviceFleetRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a device fleet.

This is a convenience which creates an instance of the CreateDeviceFleetRequest.Builder avoiding the need to create one manually via CreateDeviceFleetRequest.builder()

Parameters:

createDeviceFleetRequest - A Consumer that will call methods on CreateDeviceFleetRequest.Builder to create a request.

Returns:

Result of the CreateDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

createDomain

default CreateDomainResponse createDomain(CreateDomainRequest createDomainRequest)
                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.

EFS storage

When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.

SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.

VPC configuration

All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to the domain. The following options are available:

• PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker AI, which allows internet access. This is the default value.

• VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway.

  When internet access is disabled, you won't be able to run a Amazon SageMaker AI Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker AI API and runtime or a NAT gateway and your security groups allow outbound connections.

NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a Amazon SageMaker AI Studio app successfully.

For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.

Parameters:

createDomainRequest -

Returns:

Result of the CreateDomain operation returned by the service.

See Also:

• AWS API Documentation

createDomain

default CreateDomainResponse createDomain(Consumer<CreateDomainRequest.Builder> createDomainRequest)
                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts with each other.

EFS storage

When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.

SageMaker AI uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.

VPC configuration

All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to the domain. The following options are available:

• PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker AI, which allows internet access. This is the default value.

• VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by default. To allow internet access, you must specify a NAT gateway.

  When internet access is disabled, you won't be able to run a Amazon SageMaker AI Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker AI API and runtime or a NAT gateway and your security groups allow outbound connections.

NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a Amazon SageMaker AI Studio app successfully.

For more information, see Connect Amazon SageMaker AI Studio Notebooks to Resources in a VPC.

This is a convenience which creates an instance of the CreateDomainRequest.Builder avoiding the need to create one manually via CreateDomainRequest.builder()

Parameters:

createDomainRequest - A Consumer that will call methods on CreateDomainRequest.Builder to create a request.

Returns:

Result of the CreateDomain operation returned by the service.

See Also:

• AWS API Documentation

createEdgeDeploymentPlan

default CreateEdgeDeploymentPlanResponse createEdgeDeploymentPlan(CreateEdgeDeploymentPlanRequest createEdgeDeploymentPlanRequest)
                                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.

Parameters:

createEdgeDeploymentPlanRequest -

Returns:

Result of the CreateEdgeDeploymentPlan operation returned by the service.

See Also:

• AWS API Documentation

createEdgeDeploymentPlan

default CreateEdgeDeploymentPlanResponse createEdgeDeploymentPlan(Consumer<CreateEdgeDeploymentPlanRequest.Builder> createEdgeDeploymentPlanRequest)
                                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.

This is a convenience which creates an instance of the CreateEdgeDeploymentPlanRequest.Builder avoiding the need to create one manually via CreateEdgeDeploymentPlanRequest.builder()

Parameters:

createEdgeDeploymentPlanRequest - A Consumer that will call methods on CreateEdgeDeploymentPlanRequest.Builder to create a request.

Returns:

Result of the CreateEdgeDeploymentPlan operation returned by the service.

See Also:

• AWS API Documentation

createEdgeDeploymentStage

default CreateEdgeDeploymentStageResponse createEdgeDeploymentStage(CreateEdgeDeploymentStageRequest createEdgeDeploymentStageRequest)
                                                             throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a new stage in an existing edge deployment plan.

Parameters:

createEdgeDeploymentStageRequest -

Returns:

Result of the CreateEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

createEdgeDeploymentStage

default CreateEdgeDeploymentStageResponse createEdgeDeploymentStage(Consumer<CreateEdgeDeploymentStageRequest.Builder> createEdgeDeploymentStageRequest)
                                                             throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a new stage in an existing edge deployment plan.

This is a convenience which creates an instance of the CreateEdgeDeploymentStageRequest.Builder avoiding the need to create one manually via CreateEdgeDeploymentStageRequest.builder()

Parameters:

createEdgeDeploymentStageRequest - A Consumer that will call methods on CreateEdgeDeploymentStageRequest.Builder to create a request.

Returns:

Result of the CreateEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

createEdgePackagingJob

default CreateEdgePackagingJobResponse createEdgePackagingJob(CreateEdgePackagingJobRequest createEdgePackagingJobRequest)
                                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has been packaged, Amazon SageMaker saves the resulting artifacts to an S3 bucket that you specify.

Parameters:

createEdgePackagingJobRequest -

Returns:

Result of the CreateEdgePackagingJob operation returned by the service.

See Also:

• AWS API Documentation

createEdgePackagingJob

default CreateEdgePackagingJobResponse createEdgePackagingJob(Consumer<CreateEdgePackagingJobRequest.Builder> createEdgePackagingJobRequest)
                                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has been packaged, Amazon SageMaker saves the resulting artifacts to an S3 bucket that you specify.

This is a convenience which creates an instance of the CreateEdgePackagingJobRequest.Builder avoiding the need to create one manually via CreateEdgePackagingJobRequest.builder()

Parameters:

createEdgePackagingJobRequest - A Consumer that will call methods on CreateEdgePackagingJobRequest.Builder to create a request.

Returns:

Result of the CreateEdgePackagingJob operation returned by the service.

See Also:

• AWS API Documentation

createEndpoint

default CreateEndpointResponse createEndpoint(CreateEndpointRequest createEndpointRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.

Use this API to deploy models using SageMaker hosting services.

You must not delete an EndpointConfig that is in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.

When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.

When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.

When SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.

If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.

• Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess policy.

• Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:

  "Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]

  "Resource": [

  "arn:aws:sagemaker:region:account-id:endpoint/endpointName"

  "arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"

  ]

  For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.

Parameters:

createEndpointRequest -

Returns:

Result of the CreateEndpoint operation returned by the service.

See Also:

• AWS API Documentation

createEndpoint

default CreateEndpointResponse createEndpoint(Consumer<CreateEndpointRequest.Builder> createEndpointRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.

Use this API to deploy models using SageMaker hosting services.

You must not delete an EndpointConfig that is in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.

When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.

When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.

When SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.

If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.

• Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess policy.

• Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:

  "Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]

  "Resource": [

  "arn:aws:sagemaker:region:account-id:endpoint/endpointName"

  "arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"

  ]

  For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.

This is a convenience which creates an instance of the CreateEndpointRequest.Builder avoiding the need to create one manually via CreateEndpointRequest.builder()

Parameters:

createEndpointRequest - A Consumer that will call methods on CreateEndpointRequest.Builder to create a request.

Returns:

Result of the CreateEndpoint operation returned by the service.

See Also:

• AWS API Documentation

createEndpointConfig

default CreateEndpointConfigResponse createEndpointConfig(CreateEndpointConfigRequest createEndpointConfigRequest)
                                                   throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an endpoint configuration that 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 SageMaker to provision. Then you call the CreateEndpoint API.

Use this API if you want to use SageMaker hosting services to deploy models into production.

In the request, you define a ProductionVariant, for each model that you want to deploy. Each ProductionVariant parameter also describes the resources that you want 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. SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.

Parameters:

createEndpointConfigRequest -

Returns:

Result of the CreateEndpointConfig operation returned by the service.

See Also:

• AWS API Documentation

createEndpointConfig

default CreateEndpointConfigResponse createEndpointConfig(Consumer<CreateEndpointConfigRequest.Builder> createEndpointConfigRequest)
                                                   throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an endpoint configuration that 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 SageMaker to provision. Then you call the CreateEndpoint API.

Use this API if you want to use SageMaker hosting services to deploy models into production.

In the request, you define a ProductionVariant, for each model that you want to deploy. Each ProductionVariant parameter also describes the resources that you want 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. SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

When you call CreateEndpoint, a load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a DynamoDB table supporting Eventually Consistent Reads , the response might not reflect the results of a recently completed write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB, this causes a validation error. If you repeat your read request after a short time, the response should return the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers call DescribeEndpointConfig before calling CreateEndpoint to minimize the potential impact of a DynamoDB eventually consistent read.

This is a convenience which creates an instance of the CreateEndpointConfigRequest.Builder avoiding the need to create one manually via CreateEndpointConfigRequest.builder()

Parameters:

createEndpointConfigRequest - A Consumer that will call methods on CreateEndpointConfigRequest.Builder to create a request.

Returns:

Result of the CreateEndpointConfig operation returned by the service.

See Also:

• AWS API Documentation

createExperiment

default CreateExperimentResponse createExperiment(CreateExperimentRequest createExperimentRequest)
                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.

In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.

The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.

When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.

To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API.

To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.

Parameters:

createExperimentRequest -

Returns:

Result of the CreateExperiment operation returned by the service.

See Also:

• AWS API Documentation

createExperiment

default CreateExperimentResponse createExperiment(Consumer<CreateExperimentRequest.Builder> createExperimentRequest)
                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.

In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.

The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.

When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.

To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API.

To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.

This is a convenience which creates an instance of the CreateExperimentRequest.Builder avoiding the need to create one manually via CreateExperimentRequest.builder()

Parameters:

createExperimentRequest - A Consumer that will call methods on CreateExperimentRequest.Builder to create a request.

Returns:

Result of the CreateExperiment operation returned by the service.

See Also:

• AWS API Documentation

createFeatureGroup

default CreateFeatureGroupResponse createFeatureGroup(CreateFeatureGroupRequest createFeatureGroupRequest)
                                               throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record.

The FeatureGroup defines the schema and features contained in the FeatureGroup. A FeatureGroup definition is composed of a list of Features, a RecordIdentifierFeatureName, an EventTimeFeatureName and configurations for its OnlineStore and OfflineStore. Check Amazon Web Services service quotas to see the FeatureGroups quota for your Amazon Web Services account.

Note that it can take approximately 10-15 minutes to provision an OnlineStore FeatureGroup with the InMemory StorageType.

You must include at least one of OnlineStoreConfig and OfflineStoreConfig to create a FeatureGroup.

Parameters:

createFeatureGroupRequest -

Returns:

Result of the CreateFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

createFeatureGroup

default CreateFeatureGroupResponse createFeatureGroup(Consumer<CreateFeatureGroupRequest.Builder> createFeatureGroupRequest)
                                               throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record.

The FeatureGroup defines the schema and features contained in the FeatureGroup. A FeatureGroup definition is composed of a list of Features, a RecordIdentifierFeatureName, an EventTimeFeatureName and configurations for its OnlineStore and OfflineStore. Check Amazon Web Services service quotas to see the FeatureGroups quota for your Amazon Web Services account.

Note that it can take approximately 10-15 minutes to provision an OnlineStore FeatureGroup with the InMemory StorageType.

You must include at least one of OnlineStoreConfig and OfflineStoreConfig to create a FeatureGroup.

This is a convenience which creates an instance of the CreateFeatureGroupRequest.Builder avoiding the need to create one manually via CreateFeatureGroupRequest.builder()

Parameters:

createFeatureGroupRequest - A Consumer that will call methods on CreateFeatureGroupRequest.Builder to create a request.

Returns:

Result of the CreateFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

createFlowDefinition

default CreateFlowDefinitionResponse createFlowDefinition(CreateFlowDefinitionRequest createFlowDefinitionRequest)
                                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a flow definition.

Parameters:

createFlowDefinitionRequest -

Returns:

Result of the CreateFlowDefinition operation returned by the service.

See Also:

• AWS API Documentation

createFlowDefinition

default CreateFlowDefinitionResponse createFlowDefinition(Consumer<CreateFlowDefinitionRequest.Builder> createFlowDefinitionRequest)
                                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a flow definition.

This is a convenience which creates an instance of the CreateFlowDefinitionRequest.Builder avoiding the need to create one manually via CreateFlowDefinitionRequest.builder()

Parameters:

createFlowDefinitionRequest - A Consumer that will call methods on CreateFlowDefinitionRequest.Builder to create a request.

Returns:

Result of the CreateFlowDefinition operation returned by the service.

See Also:

• AWS API Documentation

createHub

default CreateHubResponse createHub(CreateHubRequest createHubRequest)
                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create a hub.

Parameters:

createHubRequest -

Returns:

Result of the CreateHub operation returned by the service.

See Also:

• AWS API Documentation

createHub

default CreateHubResponse createHub(Consumer<CreateHubRequest.Builder> createHubRequest)
                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create a hub.

This is a convenience which creates an instance of the CreateHubRequest.Builder avoiding the need to create one manually via CreateHubRequest.builder()

Parameters:

createHubRequest - A Consumer that will call methods on CreateHubRequest.Builder to create a request.

Returns:

Result of the CreateHub operation returned by the service.

See Also:

• AWS API Documentation

createHubContentPresignedUrls

default CreateHubContentPresignedUrlsResponse createHubContentPresignedUrls(CreateHubContentPresignedUrlsRequest createHubContentPresignedUrlsRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Creates presigned URLs for accessing hub content artifacts. This operation generates time-limited, secure URLs that allow direct download of model artifacts and associated files from Amazon SageMaker hub content, including gated models that require end-user license agreement acceptance.

Parameters:

createHubContentPresignedUrlsRequest -

Returns:

Result of the CreateHubContentPresignedUrls operation returned by the service.

See Also:

• AWS API Documentation

createHubContentPresignedUrls

default CreateHubContentPresignedUrlsResponse createHubContentPresignedUrls(Consumer<CreateHubContentPresignedUrlsRequest.Builder> createHubContentPresignedUrlsRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Creates presigned URLs for accessing hub content artifacts. This operation generates time-limited, secure URLs that allow direct download of model artifacts and associated files from Amazon SageMaker hub content, including gated models that require end-user license agreement acceptance.

This is a convenience which creates an instance of the CreateHubContentPresignedUrlsRequest.Builder avoiding the need to create one manually via CreateHubContentPresignedUrlsRequest.builder()

Parameters:

createHubContentPresignedUrlsRequest - A Consumer that will call methods on CreateHubContentPresignedUrlsRequest.Builder to create a request.

Returns:

Result of the CreateHubContentPresignedUrls operation returned by the service.

See Also:

• AWS API Documentation

createHubContentPresignedUrlsPaginator

default CreateHubContentPresignedUrlsIterable createHubContentPresignedUrlsPaginator(CreateHubContentPresignedUrlsRequest createHubContentPresignedUrlsRequest)
                                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of createHubContentPresignedUrls(software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.CreateHubContentPresignedUrlsIterable responses = client.createHubContentPresignedUrlsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.CreateHubContentPresignedUrlsIterable responses = client
             .createHubContentPresignedUrlsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.CreateHubContentPresignedUrlsIterable responses = client.createHubContentPresignedUrlsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the createHubContentPresignedUrls(software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsRequest) operation.

Parameters:

createHubContentPresignedUrlsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

createHubContentPresignedUrlsPaginator

default CreateHubContentPresignedUrlsIterable createHubContentPresignedUrlsPaginator(Consumer<CreateHubContentPresignedUrlsRequest.Builder> createHubContentPresignedUrlsRequest)
                                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of createHubContentPresignedUrls(software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.CreateHubContentPresignedUrlsIterable responses = client.createHubContentPresignedUrlsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.CreateHubContentPresignedUrlsIterable responses = client
             .createHubContentPresignedUrlsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.CreateHubContentPresignedUrlsIterable responses = client.createHubContentPresignedUrlsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the createHubContentPresignedUrls(software.amazon.awssdk.services.sagemaker.model.CreateHubContentPresignedUrlsRequest) operation.

This is a convenience which creates an instance of the CreateHubContentPresignedUrlsRequest.Builder avoiding the need to create one manually via CreateHubContentPresignedUrlsRequest.builder()

Parameters:

createHubContentPresignedUrlsRequest - A Consumer that will call methods on CreateHubContentPresignedUrlsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

createHubContentReference

default CreateHubContentReferenceResponse createHubContentReference(CreateHubContentReferenceRequest createHubContentReferenceRequest)
                                                             throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.

Parameters:

createHubContentReferenceRequest -

Returns:

Result of the CreateHubContentReference operation returned by the service.

See Also:

• AWS API Documentation

createHubContentReference

default CreateHubContentReferenceResponse createHubContentReference(Consumer<CreateHubContentReferenceRequest.Builder> createHubContentReferenceRequest)
                                                             throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.

This is a convenience which creates an instance of the CreateHubContentReferenceRequest.Builder avoiding the need to create one manually via CreateHubContentReferenceRequest.builder()

Parameters:

createHubContentReferenceRequest - A Consumer that will call methods on CreateHubContentReferenceRequest.Builder to create a request.

Returns:

Result of the CreateHubContentReference operation returned by the service.

See Also:

• AWS API Documentation

createHumanTaskUi

default CreateHumanTaskUiResponse createHumanTaskUi(CreateHumanTaskUiRequest createHumanTaskUiRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.

Parameters:

createHumanTaskUiRequest -

Returns:

Result of the CreateHumanTaskUi operation returned by the service.

See Also:

• AWS API Documentation

createHumanTaskUi

default CreateHumanTaskUiResponse createHumanTaskUi(Consumer<CreateHumanTaskUiRequest.Builder> createHumanTaskUiRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.

This is a convenience which creates an instance of the CreateHumanTaskUiRequest.Builder avoiding the need to create one manually via CreateHumanTaskUiRequest.builder()

Parameters:

createHumanTaskUiRequest - A Consumer that will call methods on CreateHumanTaskUiRequest.Builder to create a request.

Returns:

Result of the CreateHumanTaskUi operation returned by the service.

See Also:

• AWS API Documentation

createHyperParameterTuningJob

default CreateHyperParameterTuningJobResponse createHyperParameterTuningJob(CreateHyperParameterTuningJobRequest createHyperParameterTuningJobRequest)
                                                                     throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

A hyperparameter tuning job automatically creates Amazon SageMaker experiments, trials, and trial components for each training job that it runs. You can view these entities in Amazon SageMaker Studio. For more information, see View Experiments, Trials, and Trial Components.

Do not include any security-sensitive information including account access IDs, secrets, or tokens in any hyperparameter fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by any security-sensitive information included in the request hyperparameter variable or plain text fields..

Parameters:

createHyperParameterTuningJobRequest -

Returns:

Result of the CreateHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

createHyperParameterTuningJob

default CreateHyperParameterTuningJobResponse createHyperParameterTuningJob(Consumer<CreateHyperParameterTuningJobRequest.Builder> createHyperParameterTuningJobRequest)
                                                                     throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

A hyperparameter tuning job automatically creates Amazon SageMaker experiments, trials, and trial components for each training job that it runs. You can view these entities in Amazon SageMaker Studio. For more information, see View Experiments, Trials, and Trial Components.

Do not include any security-sensitive information including account access IDs, secrets, or tokens in any hyperparameter fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by any security-sensitive information included in the request hyperparameter variable or plain text fields..

This is a convenience which creates an instance of the CreateHyperParameterTuningJobRequest.Builder avoiding the need to create one manually via CreateHyperParameterTuningJobRequest.builder()

Parameters:

createHyperParameterTuningJobRequest - A Consumer that will call methods on CreateHyperParameterTuningJobRequest.Builder to create a request.

Returns:

Result of the CreateHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

createImage

default CreateImageResponse createImage(CreateImageRequest createImageRequest)
                                 throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a custom SageMaker AI image. A SageMaker AI image is a set of image versions. Each image version represents a container image stored in Amazon ECR. For more information, see Bring your own SageMaker AI image.

Parameters:

createImageRequest -

Returns:

Result of the CreateImage operation returned by the service.

See Also:

• AWS API Documentation

createImage

default CreateImageResponse createImage(Consumer<CreateImageRequest.Builder> createImageRequest)
                                 throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a custom SageMaker AI image. A SageMaker AI image is a set of image versions. Each image version represents a container image stored in Amazon ECR. For more information, see Bring your own SageMaker AI image.

This is a convenience which creates an instance of the CreateImageRequest.Builder avoiding the need to create one manually via CreateImageRequest.builder()

Parameters:

createImageRequest - A Consumer that will call methods on CreateImageRequest.Builder to create a request.

Returns:

Result of the CreateImage operation returned by the service.

See Also:

• AWS API Documentation

createImageVersion

default CreateImageVersionResponse createImageVersion(CreateImageVersionRequest createImageVersionRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a version of the SageMaker AI image specified by ImageName. The version represents the Amazon ECR container image specified by BaseImage.

Parameters:

createImageVersionRequest -

Returns:

Result of the CreateImageVersion operation returned by the service.

See Also:

• AWS API Documentation

createImageVersion

default CreateImageVersionResponse createImageVersion(Consumer<CreateImageVersionRequest.Builder> createImageVersionRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a version of the SageMaker AI image specified by ImageName. The version represents the Amazon ECR container image specified by BaseImage.

This is a convenience which creates an instance of the CreateImageVersionRequest.Builder avoiding the need to create one manually via CreateImageVersionRequest.builder()

Parameters:

createImageVersionRequest - A Consumer that will call methods on CreateImageVersionRequest.Builder to create a request.

Returns:

Result of the CreateImageVersion operation returned by the service.

See Also:

• AWS API Documentation

createInferenceComponent

default CreateInferenceComponentResponse createInferenceComponent(CreateInferenceComponentRequest createInferenceComponentRequest)
                                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You can optimize resource utilization by tailoring how the required CPU cores, accelerators, and memory are allocated. You can deploy multiple inference components to an endpoint, where each inference component contains one model and the resource utilization needs for that individual model. After you deploy an inference component, you can directly invoke the associated model when you use the InvokeEndpoint API action.

Parameters:

createInferenceComponentRequest -

Returns:

Result of the CreateInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

createInferenceComponent

default CreateInferenceComponentResponse createInferenceComponent(Consumer<CreateInferenceComponentRequest.Builder> createInferenceComponentRequest)
                                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You can optimize resource utilization by tailoring how the required CPU cores, accelerators, and memory are allocated. You can deploy multiple inference components to an endpoint, where each inference component contains one model and the resource utilization needs for that individual model. After you deploy an inference component, you can directly invoke the associated model when you use the InvokeEndpoint API action.

This is a convenience which creates an instance of the CreateInferenceComponentRequest.Builder avoiding the need to create one manually via CreateInferenceComponentRequest.builder()

Parameters:

createInferenceComponentRequest - A Consumer that will call methods on CreateInferenceComponentRequest.Builder to create a request.

Returns:

Result of the CreateInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

createInferenceExperiment

default CreateInferenceExperimentResponse createInferenceExperiment(CreateInferenceExperimentRequest createInferenceExperimentRequest)
                                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an inference experiment using the configurations specified in the request.

Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.

Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.

While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.

Parameters:

createInferenceExperimentRequest -

Returns:

Result of the CreateInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

createInferenceExperiment

default CreateInferenceExperimentResponse createInferenceExperiment(Consumer<CreateInferenceExperimentRequest.Builder> createInferenceExperimentRequest)
                                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an inference experiment using the configurations specified in the request.

Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.

Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.

While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.

This is a convenience which creates an instance of the CreateInferenceExperimentRequest.Builder avoiding the need to create one manually via CreateInferenceExperimentRequest.builder()

Parameters:

createInferenceExperimentRequest - A Consumer that will call methods on CreateInferenceExperimentRequest.Builder to create a request.

Returns:

Result of the CreateInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

createInferenceRecommendationsJob

default CreateInferenceRecommendationsJobResponse createInferenceRecommendationsJob(CreateInferenceRecommendationsJobRequest createInferenceRecommendationsJobRequest)
                                                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a recommendation job. You can create either an instance recommendation or load test job.

Parameters:

createInferenceRecommendationsJobRequest -

Returns:

Result of the CreateInferenceRecommendationsJob operation returned by the service.

See Also:

• AWS API Documentation

createInferenceRecommendationsJob

default CreateInferenceRecommendationsJobResponse createInferenceRecommendationsJob(Consumer<CreateInferenceRecommendationsJobRequest.Builder> createInferenceRecommendationsJobRequest)
                                                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a recommendation job. You can create either an instance recommendation or load test job.

This is a convenience which creates an instance of the CreateInferenceRecommendationsJobRequest.Builder avoiding the need to create one manually via CreateInferenceRecommendationsJobRequest.builder()

Parameters:

createInferenceRecommendationsJobRequest - A Consumer that will call methods on CreateInferenceRecommendationsJobRequest.Builder to create a request.

Returns:

Result of the CreateInferenceRecommendationsJob operation returned by the service.

See Also:

• AWS API Documentation

createLabelingJob

default CreateLabelingJobResponse createLabelingJob(CreateLabelingJobRequest createLabelingJobRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.

You can select your workforce from one of three providers:

• A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.

• One or more vendors that you select from the Amazon Web Services Marketplace. Vendors provide expertise in specific areas.

• The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.

You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.

The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.

The output can be used as the manifest file for another labeling job or as training data for your machine learning models.

You can use this operation to create a static labeling job or a streaming labeling job. A static labeling job stops if all data objects in the input manifest file identified in ManifestS3Uri have been labeled. A streaming labeling job runs perpetually until it is manually stopped, or remains idle for 10 days. You can send new data objects to an active (InProgress) streaming labeling job in real time. To learn how to create a static labeling job, see Create a Labeling Job (API) in the Amazon SageMaker Developer Guide. To learn how to create a streaming labeling job, see Create a Streaming Labeling Job.

Parameters:

createLabelingJobRequest -

Returns:

Result of the CreateLabelingJob operation returned by the service.

See Also:

• AWS API Documentation

createLabelingJob

default CreateLabelingJobResponse createLabelingJob(Consumer<CreateLabelingJobRequest.Builder> createLabelingJobRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.

You can select your workforce from one of three providers:

• A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.

• One or more vendors that you select from the Amazon Web Services Marketplace. Vendors provide expertise in specific areas.

• The Amazon Mechanical Turk workforce. This is the largest workforce, but it should only be used for public data or data that has been stripped of any personally identifiable information.

You can also use automated data labeling to reduce the number of data objects that need to be labeled by a human. Automated data labeling uses active learning to determine if a data object can be labeled by machine or if it needs to be sent to a human worker. For more information, see Using Automated Data Labeling.

The data objects to be labeled are contained in an Amazon S3 bucket. You create a manifest file that describes the location of each object. For more information, see Using Input and Output Data.

The output can be used as the manifest file for another labeling job or as training data for your machine learning models.

You can use this operation to create a static labeling job or a streaming labeling job. A static labeling job stops if all data objects in the input manifest file identified in ManifestS3Uri have been labeled. A streaming labeling job runs perpetually until it is manually stopped, or remains idle for 10 days. You can send new data objects to an active (InProgress) streaming labeling job in real time. To learn how to create a static labeling job, see Create a Labeling Job (API) in the Amazon SageMaker Developer Guide. To learn how to create a streaming labeling job, see Create a Streaming Labeling Job.

This is a convenience which creates an instance of the CreateLabelingJobRequest.Builder avoiding the need to create one manually via CreateLabelingJobRequest.builder()

Parameters:

createLabelingJobRequest - A Consumer that will call methods on CreateLabelingJobRequest.Builder to create a request.

Returns:

Result of the CreateLabelingJob operation returned by the service.

See Also:

• AWS API Documentation

createMlflowTrackingServer

default CreateMlflowTrackingServerResponse createMlflowTrackingServer(CreateMlflowTrackingServerRequest createMlflowTrackingServerRequest)
                                                               throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.

Parameters:

createMlflowTrackingServerRequest -

Returns:

Result of the CreateMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

createMlflowTrackingServer

default CreateMlflowTrackingServerResponse createMlflowTrackingServer(Consumer<CreateMlflowTrackingServerRequest.Builder> createMlflowTrackingServerRequest)
                                                               throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.

This is a convenience which creates an instance of the CreateMlflowTrackingServerRequest.Builder avoiding the need to create one manually via CreateMlflowTrackingServerRequest.builder()

Parameters:

createMlflowTrackingServerRequest - A Consumer that will call methods on CreateMlflowTrackingServerRequest.Builder to create a request.

Returns:

Result of the CreateMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

createModel

default CreateModelResponse createModel(CreateModelRequest createModelRequest)
                                 throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a 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 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. 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. SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the request, you also provide an IAM role that 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 Amazon Web Services resources, you grant necessary permissions via this role.

Parameters:

createModelRequest -

Returns:

Result of the CreateModel operation returned by the service.

See Also:

• AWS API Documentation

createModel

default CreateModelResponse createModel(Consumer<CreateModelRequest.Builder> createModelRequest)
                                 throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a 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 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. 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. SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the request, you also provide an IAM role that 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 Amazon Web Services 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()

Parameters:

createModelRequest - A Consumer that will call methods on CreateModelRequest.Builder to create a request.

Returns:

Result of the CreateModel operation returned by the service.

See Also:

• AWS API Documentation

createModelBiasJobDefinition

default CreateModelBiasJobDefinitionResponse createModelBiasJobDefinition(CreateModelBiasJobDefinitionRequest createModelBiasJobDefinitionRequest)
                                                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates the definition for a model bias job.

Parameters:

createModelBiasJobDefinitionRequest -

Returns:

Result of the CreateModelBiasJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createModelBiasJobDefinition

default CreateModelBiasJobDefinitionResponse createModelBiasJobDefinition(Consumer<CreateModelBiasJobDefinitionRequest.Builder> createModelBiasJobDefinitionRequest)
                                                                   throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates the definition for a model bias job.

This is a convenience which creates an instance of the CreateModelBiasJobDefinitionRequest.Builder avoiding the need to create one manually via CreateModelBiasJobDefinitionRequest.builder()

Parameters:

createModelBiasJobDefinitionRequest - A Consumer that will call methods on CreateModelBiasJobDefinitionRequest.Builder to create a request.

Returns:

Result of the CreateModelBiasJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createModelCard

default CreateModelCardResponse createModelCard(CreateModelCardRequest createModelCardRequest)
                                         throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Amazon SageMaker Model Card.

For information about how to use model cards, see Amazon SageMaker Model Card.

Parameters:

createModelCardRequest -

Returns:

Result of the CreateModelCard operation returned by the service.

See Also:

• AWS API Documentation

createModelCard

default CreateModelCardResponse createModelCard(Consumer<CreateModelCardRequest.Builder> createModelCardRequest)
                                         throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Amazon SageMaker Model Card.

For information about how to use model cards, see Amazon SageMaker Model Card.

This is a convenience which creates an instance of the CreateModelCardRequest.Builder avoiding the need to create one manually via CreateModelCardRequest.builder()

Parameters:

createModelCardRequest - A Consumer that will call methods on CreateModelCardRequest.Builder to create a request.

Returns:

Result of the CreateModelCard operation returned by the service.

See Also:

• AWS API Documentation

createModelCardExportJob

default CreateModelCardExportJobResponse createModelCardExportJob(CreateModelCardExportJobRequest createModelCardExportJobRequest)
                                                           throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Amazon SageMaker Model Card export job.

Parameters:

createModelCardExportJobRequest -

Returns:

Result of the CreateModelCardExportJob operation returned by the service.

See Also:

• AWS API Documentation

createModelCardExportJob

default CreateModelCardExportJobResponse createModelCardExportJob(Consumer<CreateModelCardExportJobRequest.Builder> createModelCardExportJobRequest)
                                                           throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Amazon SageMaker Model Card export job.

This is a convenience which creates an instance of the CreateModelCardExportJobRequest.Builder avoiding the need to create one manually via CreateModelCardExportJobRequest.builder()

Parameters:

createModelCardExportJobRequest - A Consumer that will call methods on CreateModelCardExportJobRequest.Builder to create a request.

Returns:

Result of the CreateModelCardExportJob operation returned by the service.

See Also:

• AWS API Documentation

createModelExplainabilityJobDefinition

default CreateModelExplainabilityJobDefinitionResponse createModelExplainabilityJobDefinition(CreateModelExplainabilityJobDefinitionRequest createModelExplainabilityJobDefinitionRequest)
                                                                                       throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates the definition for a model explainability job.

Parameters:

createModelExplainabilityJobDefinitionRequest -

Returns:

Result of the CreateModelExplainabilityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createModelExplainabilityJobDefinition

default CreateModelExplainabilityJobDefinitionResponse createModelExplainabilityJobDefinition(Consumer<CreateModelExplainabilityJobDefinitionRequest.Builder> createModelExplainabilityJobDefinitionRequest)
                                                                                       throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates the definition for a model explainability job.

This is a convenience which creates an instance of the CreateModelExplainabilityJobDefinitionRequest.Builder avoiding the need to create one manually via CreateModelExplainabilityJobDefinitionRequest.builder()

Parameters:

createModelExplainabilityJobDefinitionRequest - A Consumer that will call methods on CreateModelExplainabilityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the CreateModelExplainabilityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createModelPackage

default CreateModelPackageResponse createModelPackage(CreateModelPackageRequest createModelPackageRequest)
                                               throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.

To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for SourceAlgorithmSpecification.

There are two types of model packages:

• Versioned - a model that is part of a model group in the model registry.

• Unversioned - a model package that is not part of a model group.

Parameters:

createModelPackageRequest -

Returns:

Result of the CreateModelPackage operation returned by the service.

See Also:

• AWS API Documentation

createModelPackage

default CreateModelPackageResponse createModelPackage(Consumer<CreateModelPackageRequest.Builder> createModelPackageRequest)
                                               throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.

To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for SourceAlgorithmSpecification.

There are two types of model packages:

• Versioned - a model that is part of a model group in the model registry.

• Unversioned - a model package that is not part of a model group.

This is a convenience which creates an instance of the CreateModelPackageRequest.Builder avoiding the need to create one manually via CreateModelPackageRequest.builder()

Parameters:

createModelPackageRequest - A Consumer that will call methods on CreateModelPackageRequest.Builder to create a request.

Returns:

Result of the CreateModelPackage operation returned by the service.

See Also:

• AWS API Documentation

createModelPackageGroup

default CreateModelPackageGroupResponse createModelPackageGroup(CreateModelPackageGroupRequest createModelPackageGroupRequest)
                                                         throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a model group. A model group contains a group of model versions.

Parameters:

createModelPackageGroupRequest -

Returns:

Result of the CreateModelPackageGroup operation returned by the service.

See Also:

• AWS API Documentation

createModelPackageGroup

default CreateModelPackageGroupResponse createModelPackageGroup(Consumer<CreateModelPackageGroupRequest.Builder> createModelPackageGroupRequest)
                                                         throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a model group. A model group contains a group of model versions.

This is a convenience which creates an instance of the CreateModelPackageGroupRequest.Builder avoiding the need to create one manually via CreateModelPackageGroupRequest.builder()

Parameters:

createModelPackageGroupRequest - A Consumer that will call methods on CreateModelPackageGroupRequest.Builder to create a request.

Returns:

Result of the CreateModelPackageGroup operation returned by the service.

See Also:

• AWS API Documentation

createModelQualityJobDefinition

default CreateModelQualityJobDefinitionResponse createModelQualityJobDefinition(CreateModelQualityJobDefinitionRequest createModelQualityJobDefinitionRequest)
                                                                         throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.

Parameters:

createModelQualityJobDefinitionRequest -

Returns:

Result of the CreateModelQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createModelQualityJobDefinition

default CreateModelQualityJobDefinitionResponse createModelQualityJobDefinition(Consumer<CreateModelQualityJobDefinitionRequest.Builder> createModelQualityJobDefinitionRequest)
                                                                         throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.

This is a convenience which creates an instance of the CreateModelQualityJobDefinitionRequest.Builder avoiding the need to create one manually via CreateModelQualityJobDefinitionRequest.builder()

Parameters:

createModelQualityJobDefinitionRequest - A Consumer that will call methods on CreateModelQualityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the CreateModelQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

createMonitoringSchedule

default CreateMonitoringScheduleResponse createMonitoringSchedule(CreateMonitoringScheduleRequest createMonitoringScheduleRequest)
                                                           throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.

Parameters:

createMonitoringScheduleRequest -

Returns:

Result of the CreateMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

createMonitoringSchedule

default CreateMonitoringScheduleResponse createMonitoringSchedule(Consumer<CreateMonitoringScheduleRequest.Builder> createMonitoringScheduleRequest)
                                                           throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.

This is a convenience which creates an instance of the CreateMonitoringScheduleRequest.Builder avoiding the need to create one manually via CreateMonitoringScheduleRequest.builder()

Parameters:

createMonitoringScheduleRequest - A Consumer that will call methods on CreateMonitoringScheduleRequest.Builder to create a request.

Returns:

Result of the CreateMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

createNotebookInstance

default CreateNotebookInstanceResponse createNotebookInstance(CreateNotebookInstanceRequest createNotebookInstanceRequest)
                                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an SageMaker AI 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. SageMaker AI 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.

SageMaker AI also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker AI with a specific algorithm or with a machine learning framework.

After receiving the request, SageMaker AI does the following:

1. Creates a network interface in the SageMaker AI VPC.

2. (Option) If you specified SubnetId, SageMaker AI 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, SageMaker AI attaches the security group that you specified in the request to the network interface that it creates in your VPC.

3. Launches an EC2 instance of the type specified in the request in the SageMaker AI VPC. If you specified SubnetId of your VPC, SageMaker AI 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, SageMaker AI returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After SageMaker AI 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 SageMaker AI endpoints, and validate hosted models.

For more information, see How It Works.

Parameters:

createNotebookInstanceRequest -

Returns:

Result of the CreateNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

createNotebookInstance

default CreateNotebookInstanceResponse createNotebookInstance(Consumer<CreateNotebookInstanceRequest.Builder> createNotebookInstanceRequest)
                                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an SageMaker AI 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. SageMaker AI 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.

SageMaker AI also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker AI with a specific algorithm or with a machine learning framework.

After receiving the request, SageMaker AI does the following:

1. Creates a network interface in the SageMaker AI VPC.

2. (Option) If you specified SubnetId, SageMaker AI 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, SageMaker AI attaches the security group that you specified in the request to the network interface that it creates in your VPC.

3. Launches an EC2 instance of the type specified in the request in the SageMaker AI VPC. If you specified SubnetId of your VPC, SageMaker AI 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, SageMaker AI returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After SageMaker AI 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 SageMaker AI 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()

Parameters:

createNotebookInstanceRequest - A Consumer that will call methods on CreateNotebookInstanceRequest.Builder to create a request.

Returns:

Result of the CreateNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

createNotebookInstanceLifecycleConfig

default CreateNotebookInstanceLifecycleConfigResponse createNotebookInstanceLifecycleConfig(CreateNotebookInstanceLifecycleConfigRequest createNotebookInstanceLifecycleConfigRequest)
                                                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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 invalid input: '&#36'PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View Amazon 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.

Parameters:

createNotebookInstanceLifecycleConfigRequest -

Returns:

Result of the CreateNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

createNotebookInstanceLifecycleConfig

default CreateNotebookInstanceLifecycleConfigResponse createNotebookInstanceLifecycleConfig(Consumer<CreateNotebookInstanceLifecycleConfigRequest.Builder> createNotebookInstanceLifecycleConfigRequest)
                                                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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 invalid input: '&#36'PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View Amazon 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()

Parameters:

createNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on CreateNotebookInstanceLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the CreateNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

createOptimizationJob

default CreateOptimizationJobResponse createOptimizationJob(CreateOptimizationJobRequest createOptimizationJobRequest)
                                                     throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a job that optimizes a model for inference performance. To create the job, you provide the location of a source model, and you provide the settings for the optimization techniques that you want the job to apply. When the job completes successfully, SageMaker uploads the new optimized model to the output destination that you specify.

For more information about how to use this action, and about the supported optimization techniques, see Optimize model inference with Amazon SageMaker.

Parameters:

createOptimizationJobRequest -

Returns:

Result of the CreateOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

createOptimizationJob

default CreateOptimizationJobResponse createOptimizationJob(Consumer<CreateOptimizationJobRequest.Builder> createOptimizationJobRequest)
                                                     throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a job that optimizes a model for inference performance. To create the job, you provide the location of a source model, and you provide the settings for the optimization techniques that you want the job to apply. When the job completes successfully, SageMaker uploads the new optimized model to the output destination that you specify.

For more information about how to use this action, and about the supported optimization techniques, see Optimize model inference with Amazon SageMaker.

This is a convenience which creates an instance of the CreateOptimizationJobRequest.Builder avoiding the need to create one manually via CreateOptimizationJobRequest.builder()

Parameters:

createOptimizationJobRequest - A Consumer that will call methods on CreateOptimizationJobRequest.Builder to create a request.

Returns:

Result of the CreateOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

createPartnerApp

default CreatePartnerAppResponse createPartnerApp(CreatePartnerAppRequest createPartnerAppRequest)
                                           throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Amazon SageMaker Partner AI App.

Parameters:

createPartnerAppRequest -

Returns:

Result of the CreatePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

createPartnerApp

default CreatePartnerAppResponse createPartnerApp(Consumer<CreatePartnerAppRequest.Builder> createPartnerAppRequest)
                                           throws ConflictException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an Amazon SageMaker Partner AI App.

This is a convenience which creates an instance of the CreatePartnerAppRequest.Builder avoiding the need to create one manually via CreatePartnerAppRequest.builder()

Parameters:

createPartnerAppRequest - A Consumer that will call methods on CreatePartnerAppRequest.Builder to create a request.

Returns:

Result of the CreatePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

createPartnerAppPresignedUrl

default CreatePartnerAppPresignedUrlResponse createPartnerAppPresignedUrl(CreatePartnerAppPresignedUrlRequest createPartnerAppPresignedUrlRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a presigned URL to access an Amazon SageMaker Partner AI App.

Parameters:

createPartnerAppPresignedUrlRequest -

Returns:

Result of the CreatePartnerAppPresignedUrl operation returned by the service.

See Also:

• AWS API Documentation

createPartnerAppPresignedUrl

default CreatePartnerAppPresignedUrlResponse createPartnerAppPresignedUrl(Consumer<CreatePartnerAppPresignedUrlRequest.Builder> createPartnerAppPresignedUrlRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a presigned URL to access an Amazon SageMaker Partner AI App.

This is a convenience which creates an instance of the CreatePartnerAppPresignedUrlRequest.Builder avoiding the need to create one manually via CreatePartnerAppPresignedUrlRequest.builder()

Parameters:

createPartnerAppPresignedUrlRequest - A Consumer that will call methods on CreatePartnerAppPresignedUrlRequest.Builder to create a request.

Returns:

Result of the CreatePartnerAppPresignedUrl operation returned by the service.

See Also:

• AWS API Documentation

createPipeline

default CreatePipelineResponse createPipeline(CreatePipelineRequest createPipelineRequest)
                                       throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a pipeline using a JSON pipeline definition.

Parameters:

createPipelineRequest -

Returns:

Result of the CreatePipeline operation returned by the service.

See Also:

• AWS API Documentation

createPipeline

default CreatePipelineResponse createPipeline(Consumer<CreatePipelineRequest.Builder> createPipelineRequest)
                                       throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a pipeline using a JSON pipeline definition.

This is a convenience which creates an instance of the CreatePipelineRequest.Builder avoiding the need to create one manually via CreatePipelineRequest.builder()

Parameters:

createPipelineRequest - A Consumer that will call methods on CreatePipelineRequest.Builder to create a request.

Returns:

Result of the CreatePipeline operation returned by the service.

See Also:

• AWS API Documentation

createPresignedDomainUrl

default CreatePresignedDomainUrlResponse createPresignedDomainUrl(CreatePresignedDomainUrlRequest createPresignedDomainUrlRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to the domain, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System volume. This operation can only be called when the authentication mode equals IAM.

The IAM role or user passed to this API defines the permissions to access the app. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the app.

You can restrict access to this API and to the URL that it returns to a list of IP addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more information, see Connect to Amazon SageMaker AI Studio Through an Interface VPC Endpoint .

• The URL that you get from a call to CreatePresignedDomainUrl has a default timeout of 5 minutes. You can configure this value using ExpiresInSeconds. If you try to use the URL after the timeout limit expires, you are directed to the Amazon Web Services console sign-in page.

• The JupyterLab session default expiration time is 12 hours. You can configure this value using SessionExpirationDurationInSeconds.

Parameters:

createPresignedDomainUrlRequest -

Returns:

Result of the CreatePresignedDomainUrl operation returned by the service.

See Also:

• AWS API Documentation

createPresignedDomainUrl

default CreatePresignedDomainUrlResponse createPresignedDomainUrl(Consumer<CreatePresignedDomainUrlRequest.Builder> createPresignedDomainUrlRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to the domain, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System volume. This operation can only be called when the authentication mode equals IAM.

The IAM role or user passed to this API defines the permissions to access the app. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the app.

You can restrict access to this API and to the URL that it returns to a list of IP addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more information, see Connect to Amazon SageMaker AI Studio Through an Interface VPC Endpoint .

• The URL that you get from a call to CreatePresignedDomainUrl has a default timeout of 5 minutes. You can configure this value using ExpiresInSeconds. If you try to use the URL after the timeout limit expires, you are directed to the Amazon Web Services console sign-in page.

• The JupyterLab session default expiration time is 12 hours. You can configure this value using SessionExpirationDurationInSeconds.

This is a convenience which creates an instance of the CreatePresignedDomainUrlRequest.Builder avoiding the need to create one manually via CreatePresignedDomainUrlRequest.builder()

Parameters:

createPresignedDomainUrlRequest - A Consumer that will call methods on CreatePresignedDomainUrlRequest.Builder to create a request.

Returns:

Result of the CreatePresignedDomainUrl operation returned by the service.

See Also:

• AWS API Documentation

createPresignedMlflowTrackingServerUrl

default CreatePresignedMlflowTrackingServerUrlResponse createPresignedMlflowTrackingServerUrl(CreatePresignedMlflowTrackingServerUrlRequest createPresignedMlflowTrackingServerUrlRequest)
                                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server. For more information, see Launch the MLflow UI using a presigned URL.

Parameters:

createPresignedMlflowTrackingServerUrlRequest -

Returns:

Result of the CreatePresignedMlflowTrackingServerUrl operation returned by the service.

See Also:

• AWS API Documentation

createPresignedMlflowTrackingServerUrl

default CreatePresignedMlflowTrackingServerUrlResponse createPresignedMlflowTrackingServerUrl(Consumer<CreatePresignedMlflowTrackingServerUrlRequest.Builder> createPresignedMlflowTrackingServerUrlRequest)
                                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server. For more information, see Launch the MLflow UI using a presigned URL.

This is a convenience which creates an instance of the CreatePresignedMlflowTrackingServerUrlRequest.Builder avoiding the need to create one manually via CreatePresignedMlflowTrackingServerUrlRequest.builder()

Parameters:

createPresignedMlflowTrackingServerUrlRequest - A Consumer that will call methods on CreatePresignedMlflowTrackingServerUrlRequest.Builder to create a request.

Returns:

Result of the CreatePresignedMlflowTrackingServerUrl operation returned by the service.

See Also:

• AWS API Documentation

createPresignedNotebookInstanceUrl

default CreatePresignedNotebookInstanceUrlResponse createPresignedNotebookInstanceUrl(CreatePresignedNotebookInstanceUrlRequest createPresignedNotebookInstanceUrlRequest)
                                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the SageMaker AI console, when you choose Open next to a notebook instance, SageMaker AI 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.

The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.

You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. 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.

The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.

Parameters:

createPresignedNotebookInstanceUrlRequest -

Returns:

Result of the CreatePresignedNotebookInstanceUrl operation returned by the service.

See Also:

• AWS API Documentation

createPresignedNotebookInstanceUrl

default CreatePresignedNotebookInstanceUrlResponse createPresignedNotebookInstanceUrl(Consumer<CreatePresignedNotebookInstanceUrlRequest.Builder> createPresignedNotebookInstanceUrlRequest)
                                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the SageMaker AI console, when you choose Open next to a notebook instance, SageMaker AI 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.

The IAM role or user used to call this API defines the permissions to access the notebook instance. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.

You can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. 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.

The URL that you get from a call to CreatePresignedNotebookInstanceUrl is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the Amazon Web Services console sign-in page.

This is a convenience which creates an instance of the CreatePresignedNotebookInstanceUrlRequest.Builder avoiding the need to create one manually via CreatePresignedNotebookInstanceUrlRequest.builder()

Parameters:

createPresignedNotebookInstanceUrlRequest - A Consumer that will call methods on CreatePresignedNotebookInstanceUrlRequest.Builder to create a request.

Returns:

Result of the CreatePresignedNotebookInstanceUrl operation returned by the service.

See Also:

• AWS API Documentation

createProcessingJob

default CreateProcessingJobResponse createProcessingJob(CreateProcessingJobRequest createProcessingJobRequest)
                                                 throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a processing job.

Parameters:

createProcessingJobRequest -

Returns:

Result of the CreateProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

createProcessingJob

default CreateProcessingJobResponse createProcessingJob(Consumer<CreateProcessingJobRequest.Builder> createProcessingJobRequest)
                                                 throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a processing job.

This is a convenience which creates an instance of the CreateProcessingJobRequest.Builder avoiding the need to create one manually via CreateProcessingJobRequest.builder()

Parameters:

createProcessingJobRequest - A Consumer that will call methods on CreateProcessingJobRequest.Builder to create a request.

Returns:

Result of the CreateProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

createProject

default CreateProjectResponse createProject(CreateProjectRequest createProjectRequest)
                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.

Parameters:

createProjectRequest -

Returns:

Result of the CreateProject operation returned by the service.

See Also:

• AWS API Documentation

createProject

default CreateProjectResponse createProject(Consumer<CreateProjectRequest.Builder> createProjectRequest)
                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.

This is a convenience which creates an instance of the CreateProjectRequest.Builder avoiding the need to create one manually via CreateProjectRequest.builder()

Parameters:

createProjectRequest - A Consumer that will call methods on CreateProjectRequest.Builder to create a request.

Returns:

Result of the CreateProject operation returned by the service.

See Also:

• AWS API Documentation

createSpace

default CreateSpaceResponse createSpace(CreateSpaceRequest createSpaceRequest)
                                 throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a private space or a space used for real time collaboration in a domain.

Parameters:

createSpaceRequest -

Returns:

Result of the CreateSpace operation returned by the service.

See Also:

• AWS API Documentation

createSpace

default CreateSpaceResponse createSpace(Consumer<CreateSpaceRequest.Builder> createSpaceRequest)
                                 throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a private space or a space used for real time collaboration in a domain.

This is a convenience which creates an instance of the CreateSpaceRequest.Builder avoiding the need to create one manually via CreateSpaceRequest.builder()

Parameters:

createSpaceRequest - A Consumer that will call methods on CreateSpaceRequest.Builder to create a request.

Returns:

Result of the CreateSpace operation returned by the service.

See Also:

• AWS API Documentation

createStudioLifecycleConfig

default CreateStudioLifecycleConfigResponse createStudioLifecycleConfig(CreateStudioLifecycleConfigRequest createStudioLifecycleConfigRequest)
                                                                 throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.

Parameters:

createStudioLifecycleConfigRequest -

Returns:

Result of the CreateStudioLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

createStudioLifecycleConfig

default CreateStudioLifecycleConfigResponse createStudioLifecycleConfig(Consumer<CreateStudioLifecycleConfigRequest.Builder> createStudioLifecycleConfigRequest)
                                                                 throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.

This is a convenience which creates an instance of the CreateStudioLifecycleConfigRequest.Builder avoiding the need to create one manually via CreateStudioLifecycleConfigRequest.builder()

Parameters:

createStudioLifecycleConfigRequest - A Consumer that will call methods on CreateStudioLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the CreateStudioLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

createTrainingJob

default CreateTrainingJobResponse createTrainingJob(CreateTrainingJobRequest createTrainingJobRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.

If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.

In the request body, you provide the following:

• AlgorithmSpecification - Identifies the training algorithm to use.

• HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.

  Do not include any security-sensitive information including account access IDs, secrets, or tokens in any hyperparameter fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request hyperparameter variable or plain text fields.

• InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx location where it is stored.

• OutputDataConfig - Identifies the Amazon S3 bucket where you want 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.

• EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.

• RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that SageMaker can successfully complete model training.

• StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to complete.

• Environment - The environment variables to set in the Docker container.

  Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.

• RetryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.

For more information about SageMaker, see How It Works.

Parameters:

createTrainingJobRequest -

Returns:

Result of the CreateTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

createTrainingJob

default CreateTrainingJobResponse createTrainingJob(Consumer<CreateTrainingJobRequest.Builder> createTrainingJobRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.

If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.

In the request body, you provide the following:

• AlgorithmSpecification - Identifies the training algorithm to use.

• HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by SageMaker, see Algorithms.

  Do not include any security-sensitive information including account access IDs, secrets, or tokens in any hyperparameter fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request hyperparameter variable or plain text fields.

• InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx location where it is stored.

• OutputDataConfig - Identifies the Amazon S3 bucket where you want 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.

• EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.

• RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that SageMaker can successfully complete model training.

• StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to complete.

• Environment - The environment variables to set in the Docker container.

  Do not include any security-sensitive information including account access IDs, secrets, or tokens in any environment fields. As part of the shared responsibility model, you are responsible for any potential exposure, unauthorized access, or compromise of your sensitive data if caused by security-sensitive information included in the request environment variable or plain text fields.

• RetryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.

For more information about 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()

Parameters:

createTrainingJobRequest - A Consumer that will call methods on CreateTrainingJobRequest.Builder to create a request.

Returns:

Result of the CreateTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

createTrainingPlan

default CreateTrainingPlanResponse createTrainingPlan(CreateTrainingPlanRequest createTrainingPlanRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a new training plan in SageMaker to reserve compute capacity.

Amazon SageMaker Training Plan is a capability within SageMaker that allows customers to reserve and manage GPU capacity for large-scale AI model training. It provides a way to secure predictable access to computational resources within specific timelines and budgets, without the need to manage underlying infrastructure.

How it works

Plans can be created for specific resources such as SageMaker Training Jobs or SageMaker HyperPod clusters, automatically provisioning resources, setting up infrastructure, executing workloads, and handling infrastructure failures.

Plan creation workflow

• Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration) using the SearchTrainingPlanOfferings API operation.

• They create a plan that best matches their needs using the ID of the plan offering they want to use.

• After successful upfront payment, the plan's status becomes Scheduled.

• The plan can be used to:

  • Queue training jobs.

  • Allocate to an instance group of a SageMaker HyperPod cluster.

• When the plan start date arrives, it becomes Active. Based on available reserved capacity:

  • Training jobs are launched.

  • Instance groups are provisioned.

Plan composition

A plan can consist of one or more Reserved Capacities, each defined by a specific instance type, quantity, Availability Zone, duration, and start and end times. For more information about Reserved Capacity, see ReservedCapacitySummary .

Parameters:

createTrainingPlanRequest -

Returns:

Result of the CreateTrainingPlan operation returned by the service.

See Also:

• AWS API Documentation

createTrainingPlan

default CreateTrainingPlanResponse createTrainingPlan(Consumer<CreateTrainingPlanRequest.Builder> createTrainingPlanRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a new training plan in SageMaker to reserve compute capacity.

Amazon SageMaker Training Plan is a capability within SageMaker that allows customers to reserve and manage GPU capacity for large-scale AI model training. It provides a way to secure predictable access to computational resources within specific timelines and budgets, without the need to manage underlying infrastructure.

How it works

Plans can be created for specific resources such as SageMaker Training Jobs or SageMaker HyperPod clusters, automatically provisioning resources, setting up infrastructure, executing workloads, and handling infrastructure failures.

Plan creation workflow

• Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration) using the SearchTrainingPlanOfferings API operation.

• They create a plan that best matches their needs using the ID of the plan offering they want to use.

• After successful upfront payment, the plan's status becomes Scheduled.

• The plan can be used to:

  • Queue training jobs.

  • Allocate to an instance group of a SageMaker HyperPod cluster.

• When the plan start date arrives, it becomes Active. Based on available reserved capacity:

  • Training jobs are launched.

  • Instance groups are provisioned.

Plan composition

A plan can consist of one or more Reserved Capacities, each defined by a specific instance type, quantity, Availability Zone, duration, and start and end times. For more information about Reserved Capacity, see ReservedCapacitySummary .

This is a convenience which creates an instance of the CreateTrainingPlanRequest.Builder avoiding the need to create one manually via CreateTrainingPlanRequest.builder()

Parameters:

createTrainingPlanRequest - A Consumer that will call methods on CreateTrainingPlanRequest.Builder to create a request.

Returns:

Result of the CreateTrainingPlan operation returned by the service.

See Also:

• AWS API Documentation

createTransformJob

default CreateTransformJobResponse createTransformJob(CreateTransformJobRequest createTransformJobRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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 Amazon Web Services Region in an Amazon Web Services account.

• ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same Amazon Web Services Region and Amazon Web Services 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 and AMI image versions for the transform job.

For more information about how batch transformation works, see Batch Transform.

Parameters:

createTransformJobRequest -

Returns:

Result of the CreateTransformJob operation returned by the service.

See Also:

• AWS API Documentation

createTransformJob

default CreateTransformJobResponse createTransformJob(Consumer<CreateTransformJobRequest.Builder> createTransformJobRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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 Amazon Web Services Region in an Amazon Web Services account.

• ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same Amazon Web Services Region and Amazon Web Services 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 and AMI image versions for the transform job.

For more information about how batch transformation works, see Batch Transform.

This is a convenience which creates an instance of the CreateTransformJobRequest.Builder avoiding the need to create one manually via CreateTransformJobRequest.builder()

Parameters:

createTransformJobRequest - A Consumer that will call methods on CreateTransformJobRequest.Builder to create a request.

Returns:

Result of the CreateTransformJob operation returned by the service.

See Also:

• AWS API Documentation

createTrial

default CreateTrialResponse createTrial(CreateTrialRequest createTrialRequest)
                                 throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single SageMaker experiment.

When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to a trial and then use the Search API to search for the tags.

To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.

Parameters:

createTrialRequest -

Returns:

Result of the CreateTrial operation returned by the service.

See Also:

• AWS API Documentation

createTrial

default CreateTrialResponse createTrial(Consumer<CreateTrialRequest.Builder> createTrialRequest)
                                 throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates an SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single SageMaker experiment.

When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to a trial and then use the Search API to search for the tags.

To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.

This is a convenience which creates an instance of the CreateTrialRequest.Builder avoiding the need to create one manually via CreateTrialRequest.builder()

Parameters:

createTrialRequest - A Consumer that will call methods on CreateTrialRequest.Builder to create a request.

Returns:

Result of the CreateTrial operation returned by the service.

See Also:

• AWS API Documentation

createTrialComponent

default CreateTrialComponentResponse createTrialComponent(CreateTrialComponentRequest createTrialComponentRequest)
                                                   throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.

Trial components include pre-processing jobs, training jobs, and batch transform jobs.

When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to a trial component and then use the Search API to search for the tags.

Parameters:

createTrialComponentRequest -

Returns:

Result of the CreateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

createTrialComponent

default CreateTrialComponentResponse createTrialComponent(Consumer<CreateTrialComponentRequest.Builder> createTrialComponentRequest)
                                                   throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.

Trial components include pre-processing jobs, training jobs, and batch transform jobs.

When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.

You can add tags to a trial component and then use the Search API to search for the tags.

This is a convenience which creates an instance of the CreateTrialComponentRequest.Builder avoiding the need to create one manually via CreateTrialComponentRequest.builder()

Parameters:

createTrialComponentRequest - A Consumer that will call methods on CreateTrialComponentRequest.Builder to create a request.

Returns:

Result of the CreateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

createUserProfile

default CreateUserProfileResponse createUserProfile(CreateUserProfileRequest createUserProfileRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System home directory.

Parameters:

createUserProfileRequest -

Returns:

Result of the CreateUserProfile operation returned by the service.

See Also:

• AWS API Documentation

createUserProfile

default CreateUserProfileResponse createUserProfile(Consumer<CreateUserProfileRequest.Builder> createUserProfileRequest)
                                             throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System home directory.

This is a convenience which creates an instance of the CreateUserProfileRequest.Builder avoiding the need to create one manually via CreateUserProfileRequest.builder()

Parameters:

createUserProfileRequest - A Consumer that will call methods on CreateUserProfileRequest.Builder to create a request.

Returns:

Result of the CreateUserProfile operation returned by the service.

See Also:

• AWS API Documentation

createWorkforce

default CreateWorkforceResponse createWorkforce(CreateWorkforceRequest createWorkforceRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.

If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the DeleteWorkforce API operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.

To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console. For more information, see Create a Private Workforce (Amazon Cognito).

To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and Amazon A2I to create work teams. For more information, see Create a Private Workforce (OIDC IdP).

Parameters:

createWorkforceRequest -

Returns:

Result of the CreateWorkforce operation returned by the service.

See Also:

• AWS API Documentation

createWorkforce

default CreateWorkforceResponse createWorkforce(Consumer<CreateWorkforceRequest.Builder> createWorkforceRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.

If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the DeleteWorkforce API operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.

To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console. For more information, see Create a Private Workforce (Amazon Cognito).

To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and Amazon A2I to create work teams. For more information, see Create a Private Workforce (OIDC IdP).

This is a convenience which creates an instance of the CreateWorkforceRequest.Builder avoiding the need to create one manually via CreateWorkforceRequest.builder()

Parameters:

createWorkforceRequest - A Consumer that will call methods on CreateWorkforceRequest.Builder to create a request.

Returns:

Result of the CreateWorkforce operation returned by the service.

See Also:

• AWS API Documentation

createWorkteam

default CreateWorkteamResponse createWorkteam(CreateWorkteamRequest createWorkteamRequest)
                                       throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

createWorkteamRequest -

Returns:

Result of the CreateWorkteam operation returned by the service.

See Also:

• AWS API Documentation

createWorkteam

default CreateWorkteamResponse createWorkteam(Consumer<CreateWorkteamRequest.Builder> createWorkteamRequest)
                                       throws ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

createWorkteamRequest - A Consumer that will call methods on CreateWorkteamRequest.Builder to create a request.

Returns:

Result of the CreateWorkteam operation returned by the service.

See Also:

• AWS API Documentation

deleteAction

default DeleteActionResponse deleteAction(DeleteActionRequest deleteActionRequest)
                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an action.

Parameters:

deleteActionRequest -

Returns:

Result of the DeleteAction operation returned by the service.

See Also:

• AWS API Documentation

deleteAction

default DeleteActionResponse deleteAction(Consumer<DeleteActionRequest.Builder> deleteActionRequest)
                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an action.

This is a convenience which creates an instance of the DeleteActionRequest.Builder avoiding the need to create one manually via DeleteActionRequest.builder()

Parameters:

deleteActionRequest - A Consumer that will call methods on DeleteActionRequest.Builder to create a request.

Returns:

Result of the DeleteAction operation returned by the service.

See Also:

• AWS API Documentation

deleteAlgorithm

default DeleteAlgorithmResponse deleteAlgorithm(DeleteAlgorithmRequest deleteAlgorithmRequest)
                                         throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Removes the specified algorithm from your account.

Parameters:

deleteAlgorithmRequest -

Returns:

Result of the DeleteAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

deleteAlgorithm

default DeleteAlgorithmResponse deleteAlgorithm(Consumer<DeleteAlgorithmRequest.Builder> deleteAlgorithmRequest)
                                         throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

deleteAlgorithmRequest - A Consumer that will call methods on DeleteAlgorithmRequest.Builder to create a request.

Returns:

Result of the DeleteAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

deleteApp

default DeleteAppResponse deleteApp(DeleteAppRequest deleteAppRequest)
                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Used to stop and delete an app.

Parameters:

deleteAppRequest -

Returns:

Result of the DeleteApp operation returned by the service.

See Also:

• AWS API Documentation

deleteApp

default DeleteAppResponse deleteApp(Consumer<DeleteAppRequest.Builder> deleteAppRequest)
                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Used to stop and delete an app.

This is a convenience which creates an instance of the DeleteAppRequest.Builder avoiding the need to create one manually via DeleteAppRequest.builder()

Parameters:

deleteAppRequest - A Consumer that will call methods on DeleteAppRequest.Builder to create a request.

Returns:

Result of the DeleteApp operation returned by the service.

See Also:

• AWS API Documentation

deleteAppImageConfig

default DeleteAppImageConfigResponse deleteAppImageConfig(DeleteAppImageConfigRequest deleteAppImageConfigRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an AppImageConfig.

Parameters:

deleteAppImageConfigRequest -

Returns:

Result of the DeleteAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteAppImageConfig

default DeleteAppImageConfigResponse deleteAppImageConfig(Consumer<DeleteAppImageConfigRequest.Builder> deleteAppImageConfigRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an AppImageConfig.

This is a convenience which creates an instance of the DeleteAppImageConfigRequest.Builder avoiding the need to create one manually via DeleteAppImageConfigRequest.builder()

Parameters:

deleteAppImageConfigRequest - A Consumer that will call methods on DeleteAppImageConfigRequest.Builder to create a request.

Returns:

Result of the DeleteAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteArtifact

default DeleteArtifactResponse deleteArtifact(DeleteArtifactRequest deleteArtifactRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an artifact. Either ArtifactArn or Source must be specified.

Parameters:

deleteArtifactRequest -

Returns:

Result of the DeleteArtifact operation returned by the service.

See Also:

• AWS API Documentation

deleteArtifact

default DeleteArtifactResponse deleteArtifact(Consumer<DeleteArtifactRequest.Builder> deleteArtifactRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an artifact. Either ArtifactArn or Source must be specified.

This is a convenience which creates an instance of the DeleteArtifactRequest.Builder avoiding the need to create one manually via DeleteArtifactRequest.builder()

Parameters:

deleteArtifactRequest - A Consumer that will call methods on DeleteArtifactRequest.Builder to create a request.

Returns:

Result of the DeleteArtifact operation returned by the service.

See Also:

• AWS API Documentation

deleteAssociation

default DeleteAssociationResponse deleteAssociation(DeleteAssociationRequest deleteAssociationRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an association.

Parameters:

deleteAssociationRequest -

Returns:

Result of the DeleteAssociation operation returned by the service.

See Also:

• AWS API Documentation

deleteAssociation

default DeleteAssociationResponse deleteAssociation(Consumer<DeleteAssociationRequest.Builder> deleteAssociationRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an association.

This is a convenience which creates an instance of the DeleteAssociationRequest.Builder avoiding the need to create one manually via DeleteAssociationRequest.builder()

Parameters:

deleteAssociationRequest - A Consumer that will call methods on DeleteAssociationRequest.Builder to create a request.

Returns:

Result of the DeleteAssociation operation returned by the service.

See Also:

• AWS API Documentation

deleteCluster

default DeleteClusterResponse deleteCluster(DeleteClusterRequest deleteClusterRequest)
                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a SageMaker HyperPod cluster.

Parameters:

deleteClusterRequest -

Returns:

Result of the DeleteCluster operation returned by the service.

See Also:

• AWS API Documentation

deleteCluster

default DeleteClusterResponse deleteCluster(Consumer<DeleteClusterRequest.Builder> deleteClusterRequest)
                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a SageMaker HyperPod cluster.

This is a convenience which creates an instance of the DeleteClusterRequest.Builder avoiding the need to create one manually via DeleteClusterRequest.builder()

Parameters:

deleteClusterRequest - A Consumer that will call methods on DeleteClusterRequest.Builder to create a request.

Returns:

Result of the DeleteCluster operation returned by the service.

See Also:

• AWS API Documentation

deleteClusterSchedulerConfig

default DeleteClusterSchedulerConfigResponse deleteClusterSchedulerConfig(DeleteClusterSchedulerConfigRequest deleteClusterSchedulerConfigRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the cluster policy of the cluster.

Parameters:

deleteClusterSchedulerConfigRequest -

Returns:

Result of the DeleteClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteClusterSchedulerConfig

default DeleteClusterSchedulerConfigResponse deleteClusterSchedulerConfig(Consumer<DeleteClusterSchedulerConfigRequest.Builder> deleteClusterSchedulerConfigRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the cluster policy of the cluster.

This is a convenience which creates an instance of the DeleteClusterSchedulerConfigRequest.Builder avoiding the need to create one manually via DeleteClusterSchedulerConfigRequest.builder()

Parameters:

deleteClusterSchedulerConfigRequest - A Consumer that will call methods on DeleteClusterSchedulerConfigRequest.Builder to create a request.

Returns:

Result of the DeleteClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteCodeRepository

default DeleteCodeRepositoryResponse deleteCodeRepository(DeleteCodeRepositoryRequest deleteCodeRepositoryRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified Git repository from your account.

Parameters:

deleteCodeRepositoryRequest -

Returns:

Result of the DeleteCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

deleteCodeRepository

default DeleteCodeRepositoryResponse deleteCodeRepository(Consumer<DeleteCodeRepositoryRequest.Builder> deleteCodeRepositoryRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

deleteCodeRepositoryRequest - A Consumer that will call methods on DeleteCodeRepositoryRequest.Builder to create a request.

Returns:

Result of the DeleteCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

deleteCompilationJob

default DeleteCompilationJobResponse deleteCompilationJob(DeleteCompilationJobRequest deleteCompilationJobRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified compilation job. This action deletes only the compilation job resource in Amazon SageMaker AI. It doesn't delete other resources that are related to that job, such as the model artifacts that the job creates, the compilation logs in CloudWatch, the compiled model, or the IAM role.

You can delete a compilation job only if its current status is COMPLETED, FAILED, or STOPPED. If the job status is STARTING or INPROGRESS, stop the job, and then delete it after its status becomes STOPPED.

Parameters:

deleteCompilationJobRequest -

Returns:

Result of the DeleteCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

deleteCompilationJob

default DeleteCompilationJobResponse deleteCompilationJob(Consumer<DeleteCompilationJobRequest.Builder> deleteCompilationJobRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified compilation job. This action deletes only the compilation job resource in Amazon SageMaker AI. It doesn't delete other resources that are related to that job, such as the model artifacts that the job creates, the compilation logs in CloudWatch, the compiled model, or the IAM role.

You can delete a compilation job only if its current status is COMPLETED, FAILED, or STOPPED. If the job status is STARTING or INPROGRESS, stop the job, and then delete it after its status becomes STOPPED.

This is a convenience which creates an instance of the DeleteCompilationJobRequest.Builder avoiding the need to create one manually via DeleteCompilationJobRequest.builder()

Parameters:

deleteCompilationJobRequest - A Consumer that will call methods on DeleteCompilationJobRequest.Builder to create a request.

Returns:

Result of the DeleteCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

deleteComputeQuota

default DeleteComputeQuotaResponse deleteComputeQuota(DeleteComputeQuotaRequest deleteComputeQuotaRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the compute allocation from the cluster.

Parameters:

deleteComputeQuotaRequest -

Returns:

Result of the DeleteComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

deleteComputeQuota

default DeleteComputeQuotaResponse deleteComputeQuota(Consumer<DeleteComputeQuotaRequest.Builder> deleteComputeQuotaRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the compute allocation from the cluster.

This is a convenience which creates an instance of the DeleteComputeQuotaRequest.Builder avoiding the need to create one manually via DeleteComputeQuotaRequest.builder()

Parameters:

deleteComputeQuotaRequest - A Consumer that will call methods on DeleteComputeQuotaRequest.Builder to create a request.

Returns:

Result of the DeleteComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

deleteContext

default DeleteContextResponse deleteContext(DeleteContextRequest deleteContextRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an context.

Parameters:

deleteContextRequest -

Returns:

Result of the DeleteContext operation returned by the service.

See Also:

• AWS API Documentation

deleteContext

default DeleteContextResponse deleteContext(Consumer<DeleteContextRequest.Builder> deleteContextRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an context.

This is a convenience which creates an instance of the DeleteContextRequest.Builder avoiding the need to create one manually via DeleteContextRequest.builder()

Parameters:

deleteContextRequest - A Consumer that will call methods on DeleteContextRequest.Builder to create a request.

Returns:

Result of the DeleteContext operation returned by the service.

See Also:

• AWS API Documentation

deleteDataQualityJobDefinition

default DeleteDataQualityJobDefinitionResponse deleteDataQualityJobDefinition(DeleteDataQualityJobDefinitionRequest deleteDataQualityJobDefinitionRequest)
                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a data quality monitoring job definition.

Parameters:

deleteDataQualityJobDefinitionRequest -

Returns:

Result of the DeleteDataQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteDataQualityJobDefinition

default DeleteDataQualityJobDefinitionResponse deleteDataQualityJobDefinition(Consumer<DeleteDataQualityJobDefinitionRequest.Builder> deleteDataQualityJobDefinitionRequest)
                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a data quality monitoring job definition.

This is a convenience which creates an instance of the DeleteDataQualityJobDefinitionRequest.Builder avoiding the need to create one manually via DeleteDataQualityJobDefinitionRequest.builder()

Parameters:

deleteDataQualityJobDefinitionRequest - A Consumer that will call methods on DeleteDataQualityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DeleteDataQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteDeviceFleet

default DeleteDeviceFleetResponse deleteDeviceFleet(DeleteDeviceFleetRequest deleteDeviceFleetRequest)
                                             throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a fleet.

Parameters:

deleteDeviceFleetRequest -

Returns:

Result of the DeleteDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

deleteDeviceFleet

default DeleteDeviceFleetResponse deleteDeviceFleet(Consumer<DeleteDeviceFleetRequest.Builder> deleteDeviceFleetRequest)
                                             throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a fleet.

This is a convenience which creates an instance of the DeleteDeviceFleetRequest.Builder avoiding the need to create one manually via DeleteDeviceFleetRequest.builder()

Parameters:

deleteDeviceFleetRequest - A Consumer that will call methods on DeleteDeviceFleetRequest.Builder to create a request.

Returns:

Result of the DeleteDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

deleteDomain

default DeleteDomainResponse deleteDomain(DeleteDomainRequest deleteDomainRequest)
                                   throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.

Parameters:

deleteDomainRequest -

Returns:

Result of the DeleteDomain operation returned by the service.

See Also:

• AWS API Documentation

deleteDomain

default DeleteDomainResponse deleteDomain(Consumer<DeleteDomainRequest.Builder> deleteDomainRequest)
                                   throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.

This is a convenience which creates an instance of the DeleteDomainRequest.Builder avoiding the need to create one manually via DeleteDomainRequest.builder()

Parameters:

deleteDomainRequest - A Consumer that will call methods on DeleteDomainRequest.Builder to create a request.

Returns:

Result of the DeleteDomain operation returned by the service.

See Also:

• AWS API Documentation

deleteEdgeDeploymentPlan

default DeleteEdgeDeploymentPlanResponse deleteEdgeDeploymentPlan(DeleteEdgeDeploymentPlanRequest deleteEdgeDeploymentPlanRequest)
                                                           throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.

Parameters:

deleteEdgeDeploymentPlanRequest -

Returns:

Result of the DeleteEdgeDeploymentPlan operation returned by the service.

See Also:

• AWS API Documentation

deleteEdgeDeploymentPlan

default DeleteEdgeDeploymentPlanResponse deleteEdgeDeploymentPlan(Consumer<DeleteEdgeDeploymentPlanRequest.Builder> deleteEdgeDeploymentPlanRequest)
                                                           throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.

This is a convenience which creates an instance of the DeleteEdgeDeploymentPlanRequest.Builder avoiding the need to create one manually via DeleteEdgeDeploymentPlanRequest.builder()

Parameters:

deleteEdgeDeploymentPlanRequest - A Consumer that will call methods on DeleteEdgeDeploymentPlanRequest.Builder to create a request.

Returns:

Result of the DeleteEdgeDeploymentPlan operation returned by the service.

See Also:

• AWS API Documentation

deleteEdgeDeploymentStage

default DeleteEdgeDeploymentStageResponse deleteEdgeDeploymentStage(DeleteEdgeDeploymentStageRequest deleteEdgeDeploymentStageRequest)
                                                             throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a stage in an edge deployment plan if (and only if) the stage is inactive.

Parameters:

deleteEdgeDeploymentStageRequest -

Returns:

Result of the DeleteEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

deleteEdgeDeploymentStage

default DeleteEdgeDeploymentStageResponse deleteEdgeDeploymentStage(Consumer<DeleteEdgeDeploymentStageRequest.Builder> deleteEdgeDeploymentStageRequest)
                                                             throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a stage in an edge deployment plan if (and only if) the stage is inactive.

This is a convenience which creates an instance of the DeleteEdgeDeploymentStageRequest.Builder avoiding the need to create one manually via DeleteEdgeDeploymentStageRequest.builder()

Parameters:

deleteEdgeDeploymentStageRequest - A Consumer that will call methods on DeleteEdgeDeploymentStageRequest.Builder to create a request.

Returns:

Result of the DeleteEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

deleteEndpoint

default DeleteEndpointResponse deleteEndpoint(DeleteEndpointRequest deleteEndpointRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.

SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.

When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do not delete or revoke the permissions for your ExecutionRoleArn , otherwise SageMaker cannot delete these resources.

Parameters:

deleteEndpointRequest -

Returns:

Result of the DeleteEndpoint operation returned by the service.

See Also:

• AWS API Documentation

deleteEndpoint

default DeleteEndpointResponse deleteEndpoint(Consumer<DeleteEndpointRequest.Builder> deleteEndpointRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.

SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.

When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do not delete or revoke the permissions for your ExecutionRoleArn , otherwise SageMaker cannot delete these resources.

This is a convenience which creates an instance of the DeleteEndpointRequest.Builder avoiding the need to create one manually via DeleteEndpointRequest.builder()

Parameters:

deleteEndpointRequest - A Consumer that will call methods on DeleteEndpointRequest.Builder to create a request.

Returns:

Result of the DeleteEndpoint operation returned by the service.

See Also:

• AWS API Documentation

deleteEndpointConfig

default DeleteEndpointConfigResponse deleteEndpointConfig(DeleteEndpointConfigRequest deleteEndpointConfigRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.

You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.

Parameters:

deleteEndpointConfigRequest -

Returns:

Result of the DeleteEndpointConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteEndpointConfig

default DeleteEndpointConfigResponse deleteEndpointConfig(Consumer<DeleteEndpointConfigRequest.Builder> deleteEndpointConfigRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.

You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.

This is a convenience which creates an instance of the DeleteEndpointConfigRequest.Builder avoiding the need to create one manually via DeleteEndpointConfigRequest.builder()

Parameters:

deleteEndpointConfigRequest - A Consumer that will call methods on DeleteEndpointConfigRequest.Builder to create a request.

Returns:

Result of the DeleteEndpointConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteExperiment

default DeleteExperimentResponse deleteExperiment(DeleteExperimentRequest deleteExperimentRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.

Parameters:

deleteExperimentRequest -

Returns:

Result of the DeleteExperiment operation returned by the service.

See Also:

• AWS API Documentation

deleteExperiment

default DeleteExperimentResponse deleteExperiment(Consumer<DeleteExperimentRequest.Builder> deleteExperimentRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.

This is a convenience which creates an instance of the DeleteExperimentRequest.Builder avoiding the need to create one manually via DeleteExperimentRequest.builder()

Parameters:

deleteExperimentRequest - A Consumer that will call methods on DeleteExperimentRequest.Builder to create a request.

Returns:

Result of the DeleteExperiment operation returned by the service.

See Also:

• AWS API Documentation

deleteFeatureGroup

default DeleteFeatureGroupResponse deleteFeatureGroup(DeleteFeatureGroupRequest deleteFeatureGroupRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup. Data cannot be accessed from the OnlineStore immediately after DeleteFeatureGroup is called.

Data written into the OfflineStore will not be deleted. The Amazon Web Services Glue database and tables that are automatically created for your OfflineStore are not deleted.

Note that it can take approximately 10-15 minutes to delete an OnlineStore FeatureGroup with the InMemory StorageType.

Parameters:

deleteFeatureGroupRequest -

Returns:

Result of the DeleteFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

deleteFeatureGroup

default DeleteFeatureGroupResponse deleteFeatureGroup(Consumer<DeleteFeatureGroupRequest.Builder> deleteFeatureGroupRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup. Data cannot be accessed from the OnlineStore immediately after DeleteFeatureGroup is called.

Data written into the OfflineStore will not be deleted. The Amazon Web Services Glue database and tables that are automatically created for your OfflineStore are not deleted.

Note that it can take approximately 10-15 minutes to delete an OnlineStore FeatureGroup with the InMemory StorageType.

This is a convenience which creates an instance of the DeleteFeatureGroupRequest.Builder avoiding the need to create one manually via DeleteFeatureGroupRequest.builder()

Parameters:

deleteFeatureGroupRequest - A Consumer that will call methods on DeleteFeatureGroupRequest.Builder to create a request.

Returns:

Result of the DeleteFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

deleteFlowDefinition

default DeleteFlowDefinitionResponse deleteFlowDefinition(DeleteFlowDefinitionRequest deleteFlowDefinitionRequest)
                                                   throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified flow definition.

Parameters:

deleteFlowDefinitionRequest -

Returns:

Result of the DeleteFlowDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteFlowDefinition

default DeleteFlowDefinitionResponse deleteFlowDefinition(Consumer<DeleteFlowDefinitionRequest.Builder> deleteFlowDefinitionRequest)
                                                   throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified flow definition.

This is a convenience which creates an instance of the DeleteFlowDefinitionRequest.Builder avoiding the need to create one manually via DeleteFlowDefinitionRequest.builder()

Parameters:

deleteFlowDefinitionRequest - A Consumer that will call methods on DeleteFlowDefinitionRequest.Builder to create a request.

Returns:

Result of the DeleteFlowDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteHub

default DeleteHubResponse deleteHub(DeleteHubRequest deleteHubRequest)
                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a hub.

Parameters:

deleteHubRequest -

Returns:

Result of the DeleteHub operation returned by the service.

See Also:

• AWS API Documentation

deleteHub

default DeleteHubResponse deleteHub(Consumer<DeleteHubRequest.Builder> deleteHubRequest)
                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a hub.

This is a convenience which creates an instance of the DeleteHubRequest.Builder avoiding the need to create one manually via DeleteHubRequest.builder()

Parameters:

deleteHubRequest - A Consumer that will call methods on DeleteHubRequest.Builder to create a request.

Returns:

Result of the DeleteHub operation returned by the service.

See Also:

• AWS API Documentation

deleteHubContent

default DeleteHubContentResponse deleteHubContent(DeleteHubContentRequest deleteHubContentRequest)
                                           throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete the contents of a hub.

Parameters:

deleteHubContentRequest -

Returns:

Result of the DeleteHubContent operation returned by the service.

See Also:

• AWS API Documentation

deleteHubContent

default DeleteHubContentResponse deleteHubContent(Consumer<DeleteHubContentRequest.Builder> deleteHubContentRequest)
                                           throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete the contents of a hub.

This is a convenience which creates an instance of the DeleteHubContentRequest.Builder avoiding the need to create one manually via DeleteHubContentRequest.builder()

Parameters:

deleteHubContentRequest - A Consumer that will call methods on DeleteHubContentRequest.Builder to create a request.

Returns:

Result of the DeleteHubContent operation returned by the service.

See Also:

• AWS API Documentation

deleteHubContentReference

default DeleteHubContentReferenceResponse deleteHubContentReference(DeleteHubContentReferenceRequest deleteHubContentReferenceRequest)
                                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a hub content reference in order to remove a model from a private hub.

Parameters:

deleteHubContentReferenceRequest -

Returns:

Result of the DeleteHubContentReference operation returned by the service.

See Also:

• AWS API Documentation

deleteHubContentReference

default DeleteHubContentReferenceResponse deleteHubContentReference(Consumer<DeleteHubContentReferenceRequest.Builder> deleteHubContentReferenceRequest)
                                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete a hub content reference in order to remove a model from a private hub.

This is a convenience which creates an instance of the DeleteHubContentReferenceRequest.Builder avoiding the need to create one manually via DeleteHubContentReferenceRequest.builder()

Parameters:

deleteHubContentReferenceRequest - A Consumer that will call methods on DeleteHubContentReferenceRequest.Builder to create a request.

Returns:

Result of the DeleteHubContentReference operation returned by the service.

See Also:

• AWS API Documentation

deleteHumanTaskUi

default DeleteHumanTaskUiResponse deleteHumanTaskUi(DeleteHumanTaskUiRequest deleteHumanTaskUiRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to delete a human task user interface (worker task template).

To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis. When you delete a worker task template, it no longer appears when you call ListHumanTaskUis.

Parameters:

deleteHumanTaskUiRequest -

Returns:

Result of the DeleteHumanTaskUi operation returned by the service.

See Also:

• AWS API Documentation

deleteHumanTaskUi

default DeleteHumanTaskUiResponse deleteHumanTaskUi(Consumer<DeleteHumanTaskUiRequest.Builder> deleteHumanTaskUiRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to delete a human task user interface (worker task template).

To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis. When you delete a worker task template, it no longer appears when you call ListHumanTaskUis.

This is a convenience which creates an instance of the DeleteHumanTaskUiRequest.Builder avoiding the need to create one manually via DeleteHumanTaskUiRequest.builder()

Parameters:

deleteHumanTaskUiRequest - A Consumer that will call methods on DeleteHumanTaskUiRequest.Builder to create a request.

Returns:

Result of the DeleteHumanTaskUi operation returned by the service.

See Also:

• AWS API Documentation

deleteHyperParameterTuningJob

default DeleteHyperParameterTuningJobResponse deleteHyperParameterTuningJob(DeleteHyperParameterTuningJobRequest deleteHyperParameterTuningJobRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a hyperparameter tuning job. The DeleteHyperParameterTuningJob API deletes only the tuning job entry that was created in SageMaker when you called the CreateHyperParameterTuningJob API. It does not delete training jobs, artifacts, or the IAM role that you specified when creating the model.

Parameters:

deleteHyperParameterTuningJobRequest -

Returns:

Result of the DeleteHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

deleteHyperParameterTuningJob

default DeleteHyperParameterTuningJobResponse deleteHyperParameterTuningJob(Consumer<DeleteHyperParameterTuningJobRequest.Builder> deleteHyperParameterTuningJobRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a hyperparameter tuning job. The DeleteHyperParameterTuningJob API deletes only the tuning job entry that was created in SageMaker when you called the CreateHyperParameterTuningJob API. It does not delete training jobs, artifacts, or the IAM role that you specified when creating the model.

This is a convenience which creates an instance of the DeleteHyperParameterTuningJobRequest.Builder avoiding the need to create one manually via DeleteHyperParameterTuningJobRequest.builder()

Parameters:

deleteHyperParameterTuningJobRequest - A Consumer that will call methods on DeleteHyperParameterTuningJobRequest.Builder to create a request.

Returns:

Result of the DeleteHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

deleteImage

default DeleteImageResponse deleteImage(DeleteImageRequest deleteImageRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a SageMaker AI image and all versions of the image. The container images aren't deleted.

Parameters:

deleteImageRequest -

Returns:

Result of the DeleteImage operation returned by the service.

See Also:

• AWS API Documentation

deleteImage

default DeleteImageResponse deleteImage(Consumer<DeleteImageRequest.Builder> deleteImageRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a SageMaker AI image and all versions of the image. The container images aren't deleted.

This is a convenience which creates an instance of the DeleteImageRequest.Builder avoiding the need to create one manually via DeleteImageRequest.builder()

Parameters:

deleteImageRequest - A Consumer that will call methods on DeleteImageRequest.Builder to create a request.

Returns:

Result of the DeleteImage operation returned by the service.

See Also:

• AWS API Documentation

deleteImageVersion

default DeleteImageVersionResponse deleteImageVersion(DeleteImageVersionRequest deleteImageVersionRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a version of a SageMaker AI image. The container image the version represents isn't deleted.

Parameters:

deleteImageVersionRequest -

Returns:

Result of the DeleteImageVersion operation returned by the service.

See Also:

• AWS API Documentation

deleteImageVersion

default DeleteImageVersionResponse deleteImageVersion(Consumer<DeleteImageVersionRequest.Builder> deleteImageVersionRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a version of a SageMaker AI image. The container image the version represents isn't deleted.

This is a convenience which creates an instance of the DeleteImageVersionRequest.Builder avoiding the need to create one manually via DeleteImageVersionRequest.builder()

Parameters:

deleteImageVersionRequest - A Consumer that will call methods on DeleteImageVersionRequest.Builder to create a request.

Returns:

Result of the DeleteImageVersion operation returned by the service.

See Also:

• AWS API Documentation

deleteInferenceComponent

default DeleteInferenceComponentResponse deleteInferenceComponent(DeleteInferenceComponentRequest deleteInferenceComponentRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an inference component.

Parameters:

deleteInferenceComponentRequest -

Returns:

Result of the DeleteInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

deleteInferenceComponent

default DeleteInferenceComponentResponse deleteInferenceComponent(Consumer<DeleteInferenceComponentRequest.Builder> deleteInferenceComponentRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an inference component.

This is a convenience which creates an instance of the DeleteInferenceComponentRequest.Builder avoiding the need to create one manually via DeleteInferenceComponentRequest.builder()

Parameters:

deleteInferenceComponentRequest - A Consumer that will call methods on DeleteInferenceComponentRequest.Builder to create a request.

Returns:

Result of the DeleteInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

deleteInferenceExperiment

default DeleteInferenceExperimentResponse deleteInferenceExperiment(DeleteInferenceExperimentRequest deleteInferenceExperimentRequest)
                                                             throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an inference experiment.

This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.

Parameters:

deleteInferenceExperimentRequest -

Returns:

Result of the DeleteInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

deleteInferenceExperiment

default DeleteInferenceExperimentResponse deleteInferenceExperiment(Consumer<DeleteInferenceExperimentRequest.Builder> deleteInferenceExperimentRequest)
                                                             throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an inference experiment.

This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.

This is a convenience which creates an instance of the DeleteInferenceExperimentRequest.Builder avoiding the need to create one manually via DeleteInferenceExperimentRequest.builder()

Parameters:

deleteInferenceExperimentRequest - A Consumer that will call methods on DeleteInferenceExperimentRequest.Builder to create a request.

Returns:

Result of the DeleteInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

deleteMlflowTrackingServer

default DeleteMlflowTrackingServerResponse deleteMlflowTrackingServer(DeleteMlflowTrackingServerRequest deleteMlflowTrackingServerRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.

Parameters:

deleteMlflowTrackingServerRequest -

Returns:

Result of the DeleteMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

deleteMlflowTrackingServer

default DeleteMlflowTrackingServerResponse deleteMlflowTrackingServer(Consumer<DeleteMlflowTrackingServerRequest.Builder> deleteMlflowTrackingServerRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.

This is a convenience which creates an instance of the DeleteMlflowTrackingServerRequest.Builder avoiding the need to create one manually via DeleteMlflowTrackingServerRequest.builder()

Parameters:

deleteMlflowTrackingServerRequest - A Consumer that will call methods on DeleteMlflowTrackingServerRequest.Builder to create a request.

Returns:

Result of the DeleteMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

deleteModel

default DeleteModelResponse deleteModel(DeleteModelRequest deleteModelRequest)
                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a model. The DeleteModel API deletes only the model entry that was created in 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.

Parameters:

deleteModelRequest -

Returns:

Result of the DeleteModel operation returned by the service.

See Also:

• AWS API Documentation

deleteModel

default DeleteModelResponse deleteModel(Consumer<DeleteModelRequest.Builder> deleteModelRequest)
                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a model. The DeleteModel API deletes only the model entry that was created in 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()

Parameters:

deleteModelRequest - A Consumer that will call methods on DeleteModelRequest.Builder to create a request.

Returns:

Result of the DeleteModel operation returned by the service.

See Also:

• AWS API Documentation

deleteModelBiasJobDefinition

default DeleteModelBiasJobDefinitionResponse deleteModelBiasJobDefinition(DeleteModelBiasJobDefinitionRequest deleteModelBiasJobDefinitionRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an Amazon SageMaker AI model bias job definition.

Parameters:

deleteModelBiasJobDefinitionRequest -

Returns:

Result of the DeleteModelBiasJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteModelBiasJobDefinition

default DeleteModelBiasJobDefinitionResponse deleteModelBiasJobDefinition(Consumer<DeleteModelBiasJobDefinitionRequest.Builder> deleteModelBiasJobDefinitionRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an Amazon SageMaker AI model bias job definition.

This is a convenience which creates an instance of the DeleteModelBiasJobDefinitionRequest.Builder avoiding the need to create one manually via DeleteModelBiasJobDefinitionRequest.builder()

Parameters:

deleteModelBiasJobDefinitionRequest - A Consumer that will call methods on DeleteModelBiasJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DeleteModelBiasJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteModelCard

default DeleteModelCardResponse deleteModelCard(DeleteModelCardRequest deleteModelCardRequest)
                                         throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an Amazon SageMaker Model Card.

Parameters:

deleteModelCardRequest -

Returns:

Result of the DeleteModelCard operation returned by the service.

See Also:

• AWS API Documentation

deleteModelCard

default DeleteModelCardResponse deleteModelCard(Consumer<DeleteModelCardRequest.Builder> deleteModelCardRequest)
                                         throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an Amazon SageMaker Model Card.

This is a convenience which creates an instance of the DeleteModelCardRequest.Builder avoiding the need to create one manually via DeleteModelCardRequest.builder()

Parameters:

deleteModelCardRequest - A Consumer that will call methods on DeleteModelCardRequest.Builder to create a request.

Returns:

Result of the DeleteModelCard operation returned by the service.

See Also:

• AWS API Documentation

deleteModelExplainabilityJobDefinition

default DeleteModelExplainabilityJobDefinitionResponse deleteModelExplainabilityJobDefinition(DeleteModelExplainabilityJobDefinitionRequest deleteModelExplainabilityJobDefinitionRequest)
                                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an Amazon SageMaker AI model explainability job definition.

Parameters:

deleteModelExplainabilityJobDefinitionRequest -

Returns:

Result of the DeleteModelExplainabilityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteModelExplainabilityJobDefinition

default DeleteModelExplainabilityJobDefinitionResponse deleteModelExplainabilityJobDefinition(Consumer<DeleteModelExplainabilityJobDefinitionRequest.Builder> deleteModelExplainabilityJobDefinitionRequest)
                                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an Amazon SageMaker AI model explainability job definition.

This is a convenience which creates an instance of the DeleteModelExplainabilityJobDefinitionRequest.Builder avoiding the need to create one manually via DeleteModelExplainabilityJobDefinitionRequest.builder()

Parameters:

deleteModelExplainabilityJobDefinitionRequest - A Consumer that will call methods on DeleteModelExplainabilityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DeleteModelExplainabilityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteModelPackage

default DeleteModelPackageResponse deleteModelPackage(DeleteModelPackageRequest deleteModelPackageRequest)
                                               throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a model package.

A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.

Parameters:

deleteModelPackageRequest -

Returns:

Result of the DeleteModelPackage operation returned by the service.

See Also:

• AWS API Documentation

deleteModelPackage

default DeleteModelPackageResponse deleteModelPackage(Consumer<DeleteModelPackageRequest.Builder> deleteModelPackageRequest)
                                               throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a model package.

A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.

This is a convenience which creates an instance of the DeleteModelPackageRequest.Builder avoiding the need to create one manually via DeleteModelPackageRequest.builder()

Parameters:

deleteModelPackageRequest - A Consumer that will call methods on DeleteModelPackageRequest.Builder to create a request.

Returns:

Result of the DeleteModelPackage operation returned by the service.

See Also:

• AWS API Documentation

deleteModelPackageGroup

default DeleteModelPackageGroupResponse deleteModelPackageGroup(DeleteModelPackageGroupRequest deleteModelPackageGroupRequest)
                                                         throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified model group.

Parameters:

deleteModelPackageGroupRequest -

Returns:

Result of the DeleteModelPackageGroup operation returned by the service.

See Also:

• AWS API Documentation

deleteModelPackageGroup

default DeleteModelPackageGroupResponse deleteModelPackageGroup(Consumer<DeleteModelPackageGroupRequest.Builder> deleteModelPackageGroupRequest)
                                                         throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified model group.

This is a convenience which creates an instance of the DeleteModelPackageGroupRequest.Builder avoiding the need to create one manually via DeleteModelPackageGroupRequest.builder()

Parameters:

deleteModelPackageGroupRequest - A Consumer that will call methods on DeleteModelPackageGroupRequest.Builder to create a request.

Returns:

Result of the DeleteModelPackageGroup operation returned by the service.

See Also:

• AWS API Documentation

deleteModelPackageGroupPolicy

default DeleteModelPackageGroupPolicyResponse deleteModelPackageGroupPolicy(DeleteModelPackageGroupPolicyRequest deleteModelPackageGroupPolicyRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a model group resource policy.

Parameters:

deleteModelPackageGroupPolicyRequest -

Returns:

Result of the DeleteModelPackageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

deleteModelPackageGroupPolicy

default DeleteModelPackageGroupPolicyResponse deleteModelPackageGroupPolicy(Consumer<DeleteModelPackageGroupPolicyRequest.Builder> deleteModelPackageGroupPolicyRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a model group resource policy.

This is a convenience which creates an instance of the DeleteModelPackageGroupPolicyRequest.Builder avoiding the need to create one manually via DeleteModelPackageGroupPolicyRequest.builder()

Parameters:

deleteModelPackageGroupPolicyRequest - A Consumer that will call methods on DeleteModelPackageGroupPolicyRequest.Builder to create a request.

Returns:

Result of the DeleteModelPackageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

deleteModelQualityJobDefinition

default DeleteModelQualityJobDefinitionResponse deleteModelQualityJobDefinition(DeleteModelQualityJobDefinitionRequest deleteModelQualityJobDefinitionRequest)
                                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the secified model quality monitoring job definition.

Parameters:

deleteModelQualityJobDefinitionRequest -

Returns:

Result of the DeleteModelQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteModelQualityJobDefinition

default DeleteModelQualityJobDefinitionResponse deleteModelQualityJobDefinition(Consumer<DeleteModelQualityJobDefinitionRequest.Builder> deleteModelQualityJobDefinitionRequest)
                                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the secified model quality monitoring job definition.

This is a convenience which creates an instance of the DeleteModelQualityJobDefinitionRequest.Builder avoiding the need to create one manually via DeleteModelQualityJobDefinitionRequest.builder()

Parameters:

deleteModelQualityJobDefinitionRequest - A Consumer that will call methods on DeleteModelQualityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DeleteModelQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

deleteMonitoringSchedule

default DeleteMonitoringScheduleResponse deleteMonitoringSchedule(DeleteMonitoringScheduleRequest deleteMonitoringScheduleRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.

Parameters:

deleteMonitoringScheduleRequest -

Returns:

Result of the DeleteMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

deleteMonitoringSchedule

default DeleteMonitoringScheduleResponse deleteMonitoringSchedule(Consumer<DeleteMonitoringScheduleRequest.Builder> deleteMonitoringScheduleRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.

This is a convenience which creates an instance of the DeleteMonitoringScheduleRequest.Builder avoiding the need to create one manually via DeleteMonitoringScheduleRequest.builder()

Parameters:

deleteMonitoringScheduleRequest - A Consumer that will call methods on DeleteMonitoringScheduleRequest.Builder to create a request.

Returns:

Result of the DeleteMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

deleteNotebookInstance

default DeleteNotebookInstanceResponse deleteNotebookInstance(DeleteNotebookInstanceRequest deleteNotebookInstanceRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an SageMaker AI 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. SageMaker AI removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.

Parameters:

deleteNotebookInstanceRequest -

Returns:

Result of the DeleteNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

deleteNotebookInstance

default DeleteNotebookInstanceResponse deleteNotebookInstance(Consumer<DeleteNotebookInstanceRequest.Builder> deleteNotebookInstanceRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes an SageMaker AI 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. SageMaker AI 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()

Parameters:

deleteNotebookInstanceRequest - A Consumer that will call methods on DeleteNotebookInstanceRequest.Builder to create a request.

Returns:

Result of the DeleteNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

deleteNotebookInstanceLifecycleConfig

default DeleteNotebookInstanceLifecycleConfigResponse deleteNotebookInstanceLifecycleConfig(DeleteNotebookInstanceLifecycleConfigRequest deleteNotebookInstanceLifecycleConfigRequest)
                                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes a notebook instance lifecycle configuration.

Parameters:

deleteNotebookInstanceLifecycleConfigRequest -

Returns:

Result of the DeleteNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteNotebookInstanceLifecycleConfig

default DeleteNotebookInstanceLifecycleConfigResponse deleteNotebookInstanceLifecycleConfig(Consumer<DeleteNotebookInstanceLifecycleConfigRequest.Builder> deleteNotebookInstanceLifecycleConfigRequest)
                                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

deleteNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on DeleteNotebookInstanceLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the DeleteNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteOptimizationJob

default DeleteOptimizationJobResponse deleteOptimizationJob(DeleteOptimizationJobRequest deleteOptimizationJobRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an optimization job.

Parameters:

deleteOptimizationJobRequest -

Returns:

Result of the DeleteOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

deleteOptimizationJob

default DeleteOptimizationJobResponse deleteOptimizationJob(Consumer<DeleteOptimizationJobRequest.Builder> deleteOptimizationJobRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an optimization job.

This is a convenience which creates an instance of the DeleteOptimizationJobRequest.Builder avoiding the need to create one manually via DeleteOptimizationJobRequest.builder()

Parameters:

deleteOptimizationJobRequest - A Consumer that will call methods on DeleteOptimizationJobRequest.Builder to create a request.

Returns:

Result of the DeleteOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

deletePartnerApp

default DeletePartnerAppResponse deletePartnerApp(DeletePartnerAppRequest deletePartnerAppRequest)
                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a SageMaker Partner AI App.

Parameters:

deletePartnerAppRequest -

Returns:

Result of the DeletePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

deletePartnerApp

default DeletePartnerAppResponse deletePartnerApp(Consumer<DeletePartnerAppRequest.Builder> deletePartnerAppRequest)
                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a SageMaker Partner AI App.

This is a convenience which creates an instance of the DeletePartnerAppRequest.Builder avoiding the need to create one manually via DeletePartnerAppRequest.builder()

Parameters:

deletePartnerAppRequest - A Consumer that will call methods on DeletePartnerAppRequest.Builder to create a request.

Returns:

Result of the DeletePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

deletePipeline

default DeletePipelineResponse deletePipeline(DeletePipelineRequest deletePipelineRequest)
                                       throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline, all instances of the pipeline are deleted.

Parameters:

deletePipelineRequest -

Returns:

Result of the DeletePipeline operation returned by the service.

See Also:

• AWS API Documentation

deletePipeline

default DeletePipelineResponse deletePipeline(Consumer<DeletePipelineRequest.Builder> deletePipelineRequest)
                                       throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline, all instances of the pipeline are deleted.

This is a convenience which creates an instance of the DeletePipelineRequest.Builder avoiding the need to create one manually via DeletePipelineRequest.builder()

Parameters:

deletePipelineRequest - A Consumer that will call methods on DeletePipelineRequest.Builder to create a request.

Returns:

Result of the DeletePipeline operation returned by the service.

See Also:

• AWS API Documentation

deleteProcessingJob

default DeleteProcessingJobResponse deleteProcessingJob(DeleteProcessingJobRequest deleteProcessingJobRequest)
                                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a processing job. After Amazon SageMaker deletes a processing job, all of the metadata for the processing job is lost. You can delete only processing jobs that are in a terminal state (Stopped, Failed, or Completed). You cannot delete a job that is in the InProgress or Stopping state. After deleting the job, you can reuse its name to create another processing job.

Parameters:

deleteProcessingJobRequest -

Returns:

Result of the DeleteProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

deleteProcessingJob

default DeleteProcessingJobResponse deleteProcessingJob(Consumer<DeleteProcessingJobRequest.Builder> deleteProcessingJobRequest)
                                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a processing job. After Amazon SageMaker deletes a processing job, all of the metadata for the processing job is lost. You can delete only processing jobs that are in a terminal state (Stopped, Failed, or Completed). You cannot delete a job that is in the InProgress or Stopping state. After deleting the job, you can reuse its name to create another processing job.

This is a convenience which creates an instance of the DeleteProcessingJobRequest.Builder avoiding the need to create one manually via DeleteProcessingJobRequest.builder()

Parameters:

deleteProcessingJobRequest - A Consumer that will call methods on DeleteProcessingJobRequest.Builder to create a request.

Returns:

Result of the DeleteProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

deleteProject

default DeleteProjectResponse deleteProject(DeleteProjectRequest deleteProjectRequest)
                                     throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete the specified project.

Parameters:

deleteProjectRequest -

Returns:

Result of the DeleteProject operation returned by the service.

See Also:

• AWS API Documentation

deleteProject

default DeleteProjectResponse deleteProject(Consumer<DeleteProjectRequest.Builder> deleteProjectRequest)
                                     throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Delete the specified project.

This is a convenience which creates an instance of the DeleteProjectRequest.Builder avoiding the need to create one manually via DeleteProjectRequest.builder()

Parameters:

deleteProjectRequest - A Consumer that will call methods on DeleteProjectRequest.Builder to create a request.

Returns:

Result of the DeleteProject operation returned by the service.

See Also:

• AWS API Documentation

deleteSpace

default DeleteSpaceResponse deleteSpace(DeleteSpaceRequest deleteSpaceRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Used to delete a space.

Parameters:

deleteSpaceRequest -

Returns:

Result of the DeleteSpace operation returned by the service.

See Also:

• AWS API Documentation

deleteSpace

default DeleteSpaceResponse deleteSpace(Consumer<DeleteSpaceRequest.Builder> deleteSpaceRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Used to delete a space.

This is a convenience which creates an instance of the DeleteSpaceRequest.Builder avoiding the need to create one manually via DeleteSpaceRequest.builder()

Parameters:

deleteSpaceRequest - A Consumer that will call methods on DeleteSpaceRequest.Builder to create a request.

Returns:

Result of the DeleteSpace operation returned by the service.

See Also:

• AWS API Documentation

deleteStudioLifecycleConfig

default DeleteStudioLifecycleConfigResponse deleteStudioLifecycleConfig(DeleteStudioLifecycleConfigRequest deleteStudioLifecycleConfigRequest)
                                                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the Amazon SageMaker AI Studio Lifecycle Configuration. In order to delete the Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You must also remove the Lifecycle Configuration from UserSettings in all Domains and UserProfiles.

Parameters:

deleteStudioLifecycleConfigRequest -

Returns:

Result of the DeleteStudioLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteStudioLifecycleConfig

default DeleteStudioLifecycleConfigResponse deleteStudioLifecycleConfig(Consumer<DeleteStudioLifecycleConfigRequest.Builder> deleteStudioLifecycleConfigRequest)
                                                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the Amazon SageMaker AI Studio Lifecycle Configuration. In order to delete the Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You must also remove the Lifecycle Configuration from UserSettings in all Domains and UserProfiles.

This is a convenience which creates an instance of the DeleteStudioLifecycleConfigRequest.Builder avoiding the need to create one manually via DeleteStudioLifecycleConfigRequest.builder()

Parameters:

deleteStudioLifecycleConfigRequest - A Consumer that will call methods on DeleteStudioLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the DeleteStudioLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

deleteTags

default DeleteTagsResponse deleteTags(DeleteTagsRequest deleteTagsRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified tags from an 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.

When you call this API to delete tags from a SageMaker Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Domain or User Profile launched before you called this API.

Parameters:

deleteTagsRequest -

Returns:

Result of the DeleteTags operation returned by the service.

See Also:

• AWS API Documentation

deleteTags

default DeleteTagsResponse deleteTags(Consumer<DeleteTagsRequest.Builder> deleteTagsRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified tags from an 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.

When you call this API to delete tags from a SageMaker Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Domain or User Profile 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()

Parameters:

deleteTagsRequest - A Consumer that will call methods on DeleteTagsRequest.Builder to create a request.

Returns:

Result of the DeleteTags operation returned by the service.

See Also:

• AWS API Documentation

deleteTrainingJob

default DeleteTrainingJobResponse deleteTrainingJob(DeleteTrainingJobRequest deleteTrainingJobRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a training job. After SageMaker deletes a training job, all of the metadata for the training job is lost. You can delete only training jobs that are in a terminal state (Stopped, Failed, or Completed) and don't retain an Available managed warm pool. You cannot delete a job that is in the InProgress or Stopping state. After deleting the job, you can reuse its name to create another training job.

Parameters:

deleteTrainingJobRequest -

Returns:

Result of the DeleteTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

deleteTrainingJob

default DeleteTrainingJobResponse deleteTrainingJob(Consumer<DeleteTrainingJobRequest.Builder> deleteTrainingJobRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a training job. After SageMaker deletes a training job, all of the metadata for the training job is lost. You can delete only training jobs that are in a terminal state (Stopped, Failed, or Completed) and don't retain an Available managed warm pool. You cannot delete a job that is in the InProgress or Stopping state. After deleting the job, you can reuse its name to create another training job.

This is a convenience which creates an instance of the DeleteTrainingJobRequest.Builder avoiding the need to create one manually via DeleteTrainingJobRequest.builder()

Parameters:

deleteTrainingJobRequest - A Consumer that will call methods on DeleteTrainingJobRequest.Builder to create a request.

Returns:

Result of the DeleteTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

deleteTrial

default DeleteTrialResponse deleteTrial(DeleteTrialRequest deleteTrialRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.

Parameters:

deleteTrialRequest -

Returns:

Result of the DeleteTrial operation returned by the service.

See Also:

• AWS API Documentation

deleteTrial

default DeleteTrialResponse deleteTrial(Consumer<DeleteTrialRequest.Builder> deleteTrialRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.

This is a convenience which creates an instance of the DeleteTrialRequest.Builder avoiding the need to create one manually via DeleteTrialRequest.builder()

Parameters:

deleteTrialRequest - A Consumer that will call methods on DeleteTrialRequest.Builder to create a request.

Returns:

Result of the DeleteTrial operation returned by the service.

See Also:

• AWS API Documentation

deleteTrialComponent

default DeleteTrialComponentResponse deleteTrialComponent(DeleteTrialComponentRequest deleteTrialComponentRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.

Parameters:

deleteTrialComponentRequest -

Returns:

Result of the DeleteTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

deleteTrialComponent

default DeleteTrialComponentResponse deleteTrialComponent(Consumer<DeleteTrialComponentRequest.Builder> deleteTrialComponentRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.

This is a convenience which creates an instance of the DeleteTrialComponentRequest.Builder avoiding the need to create one manually via DeleteTrialComponentRequest.builder()

Parameters:

deleteTrialComponentRequest - A Consumer that will call methods on DeleteTrialComponentRequest.Builder to create a request.

Returns:

Result of the DeleteTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

deleteUserProfile

default DeleteUserProfileResponse deleteUserProfile(DeleteUserProfileRequest deleteUserProfileRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.

Parameters:

deleteUserProfileRequest -

Returns:

Result of the DeleteUserProfile operation returned by the service.

See Also:

• AWS API Documentation

deleteUserProfile

default DeleteUserProfileResponse deleteUserProfile(Consumer<DeleteUserProfileRequest.Builder> deleteUserProfileRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.

This is a convenience which creates an instance of the DeleteUserProfileRequest.Builder avoiding the need to create one manually via DeleteUserProfileRequest.builder()

Parameters:

deleteUserProfileRequest - A Consumer that will call methods on DeleteUserProfileRequest.Builder to create a request.

Returns:

Result of the DeleteUserProfile operation returned by the service.

See Also:

• AWS API Documentation

deleteWorkforce

default DeleteWorkforceResponse deleteWorkforce(DeleteWorkforceRequest deleteWorkforceRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to delete a workforce.

If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.

If a private workforce contains one or more work teams, you must use the DeleteWorkteam operation to delete all work teams before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will receive a ResourceInUse error.

Parameters:

deleteWorkforceRequest -

Returns:

Result of the DeleteWorkforce operation returned by the service.

See Also:

• AWS API Documentation

deleteWorkforce

default DeleteWorkforceResponse deleteWorkforce(Consumer<DeleteWorkforceRequest.Builder> deleteWorkforceRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to delete a workforce.

If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.

If a private workforce contains one or more work teams, you must use the DeleteWorkteam operation to delete all work teams before you delete the workforce. If you try to delete a workforce that contains one or more work teams, you will receive a ResourceInUse error.

This is a convenience which creates an instance of the DeleteWorkforceRequest.Builder avoiding the need to create one manually via DeleteWorkforceRequest.builder()

Parameters:

deleteWorkforceRequest - A Consumer that will call methods on DeleteWorkforceRequest.Builder to create a request.

Returns:

Result of the DeleteWorkforce operation returned by the service.

See Also:

• AWS API Documentation

deleteWorkteam

default DeleteWorkteamResponse deleteWorkteam(DeleteWorkteamRequest deleteWorkteamRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Deletes an existing work team. This operation can't be undone.

Parameters:

deleteWorkteamRequest -

Returns:

Result of the DeleteWorkteam operation returned by the service.

See Also:

• AWS API Documentation

deleteWorkteam

default DeleteWorkteamResponse deleteWorkteam(Consumer<DeleteWorkteamRequest.Builder> deleteWorkteamRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

deleteWorkteamRequest - A Consumer that will call methods on DeleteWorkteamRequest.Builder to create a request.

Returns:

Result of the DeleteWorkteam operation returned by the service.

See Also:

• AWS API Documentation

deregisterDevices

default DeregisterDevicesResponse deregisterDevices(DeregisterDevicesRequest deregisterDevicesRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Deregisters the specified devices. After you deregister a device, you will need to re-register the devices.

Parameters:

deregisterDevicesRequest -

Returns:

Result of the DeregisterDevices operation returned by the service.

See Also:

• AWS API Documentation

deregisterDevices

default DeregisterDevicesResponse deregisterDevices(Consumer<DeregisterDevicesRequest.Builder> deregisterDevicesRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Deregisters the specified devices. After you deregister a device, you will need to re-register the devices.

This is a convenience which creates an instance of the DeregisterDevicesRequest.Builder avoiding the need to create one manually via DeregisterDevicesRequest.builder()

Parameters:

deregisterDevicesRequest - A Consumer that will call methods on DeregisterDevicesRequest.Builder to create a request.

Returns:

Result of the DeregisterDevices operation returned by the service.

See Also:

• AWS API Documentation

describeAction

default DescribeActionResponse describeAction(DescribeActionRequest describeActionRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an action.

Parameters:

describeActionRequest -

Returns:

Result of the DescribeAction operation returned by the service.

See Also:

• AWS API Documentation

describeAction

default DescribeActionResponse describeAction(Consumer<DescribeActionRequest.Builder> describeActionRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an action.

This is a convenience which creates an instance of the DescribeActionRequest.Builder avoiding the need to create one manually via DescribeActionRequest.builder()

Parameters:

describeActionRequest - A Consumer that will call methods on DescribeActionRequest.Builder to create a request.

Returns:

Result of the DescribeAction operation returned by the service.

See Also:

• AWS API Documentation

describeAlgorithm

default DescribeAlgorithmResponse describeAlgorithm(DescribeAlgorithmRequest describeAlgorithmRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of the specified algorithm that is in your account.

Parameters:

describeAlgorithmRequest -

Returns:

Result of the DescribeAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

describeAlgorithm

default DescribeAlgorithmResponse describeAlgorithm(Consumer<DescribeAlgorithmRequest.Builder> describeAlgorithmRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeAlgorithmRequest - A Consumer that will call methods on DescribeAlgorithmRequest.Builder to create a request.

Returns:

Result of the DescribeAlgorithm operation returned by the service.

See Also:

• AWS API Documentation

describeApp

default DescribeAppResponse describeApp(DescribeAppRequest describeAppRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the app.

Parameters:

describeAppRequest -

Returns:

Result of the DescribeApp operation returned by the service.

See Also:

• AWS API Documentation

describeApp

default DescribeAppResponse describeApp(Consumer<DescribeAppRequest.Builder> describeAppRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the app.

This is a convenience which creates an instance of the DescribeAppRequest.Builder avoiding the need to create one manually via DescribeAppRequest.builder()

Parameters:

describeAppRequest - A Consumer that will call methods on DescribeAppRequest.Builder to create a request.

Returns:

Result of the DescribeApp operation returned by the service.

See Also:

• AWS API Documentation

describeAppImageConfig

default DescribeAppImageConfigResponse describeAppImageConfig(DescribeAppImageConfigRequest describeAppImageConfigRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an AppImageConfig.

Parameters:

describeAppImageConfigRequest -

Returns:

Result of the DescribeAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

describeAppImageConfig

default DescribeAppImageConfigResponse describeAppImageConfig(Consumer<DescribeAppImageConfigRequest.Builder> describeAppImageConfigRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an AppImageConfig.

This is a convenience which creates an instance of the DescribeAppImageConfigRequest.Builder avoiding the need to create one manually via DescribeAppImageConfigRequest.builder()

Parameters:

describeAppImageConfigRequest - A Consumer that will call methods on DescribeAppImageConfigRequest.Builder to create a request.

Returns:

Result of the DescribeAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

describeArtifact

default DescribeArtifactResponse describeArtifact(DescribeArtifactRequest describeArtifactRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an artifact.

Parameters:

describeArtifactRequest -

Returns:

Result of the DescribeArtifact operation returned by the service.

See Also:

• AWS API Documentation

describeArtifact

default DescribeArtifactResponse describeArtifact(Consumer<DescribeArtifactRequest.Builder> describeArtifactRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an artifact.

This is a convenience which creates an instance of the DescribeArtifactRequest.Builder avoiding the need to create one manually via DescribeArtifactRequest.builder()

Parameters:

describeArtifactRequest - A Consumer that will call methods on DescribeArtifactRequest.Builder to create a request.

Returns:

Result of the DescribeArtifact operation returned by the service.

See Also:

• AWS API Documentation

describeAutoMLJob

default DescribeAutoMlJobResponse describeAutoMLJob(DescribeAutoMlJobRequest describeAutoMlJobRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an AutoML job created by calling CreateAutoMLJob.

AutoML jobs created by calling CreateAutoMLJobV2 cannot be described by DescribeAutoMLJob.

Parameters:

describeAutoMlJobRequest -

Returns:

Result of the DescribeAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

describeAutoMLJob

default DescribeAutoMlJobResponse describeAutoMLJob(Consumer<DescribeAutoMlJobRequest.Builder> describeAutoMlJobRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an AutoML job created by calling CreateAutoMLJob.

AutoML jobs created by calling CreateAutoMLJobV2 cannot be described by DescribeAutoMLJob.

This is a convenience which creates an instance of the DescribeAutoMlJobRequest.Builder avoiding the need to create one manually via DescribeAutoMlJobRequest.builder()

Parameters:

describeAutoMlJobRequest - A Consumer that will call methods on DescribeAutoMlJobRequest.Builder to create a request.

Returns:

Result of the DescribeAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

describeAutoMLJobV2

default DescribeAutoMlJobV2Response describeAutoMLJobV2(DescribeAutoMlJobV2Request describeAutoMlJobV2Request)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.

Parameters:

describeAutoMlJobV2Request -

Returns:

Result of the DescribeAutoMLJobV2 operation returned by the service.

See Also:

• AWS API Documentation

describeAutoMLJobV2

default DescribeAutoMlJobV2Response describeAutoMLJobV2(Consumer<DescribeAutoMlJobV2Request.Builder> describeAutoMlJobV2Request)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.

This is a convenience which creates an instance of the DescribeAutoMlJobV2Request.Builder avoiding the need to create one manually via DescribeAutoMlJobV2Request.builder()

Parameters:

describeAutoMlJobV2Request - A Consumer that will call methods on DescribeAutoMlJobV2Request.Builder to create a request.

Returns:

Result of the DescribeAutoMLJobV2 operation returned by the service.

See Also:

• AWS API Documentation

describeCluster

default DescribeClusterResponse describeCluster(DescribeClusterRequest describeClusterRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves information of a SageMaker HyperPod cluster.

Parameters:

describeClusterRequest -

Returns:

Result of the DescribeCluster operation returned by the service.

See Also:

• AWS API Documentation

describeCluster

default DescribeClusterResponse describeCluster(Consumer<DescribeClusterRequest.Builder> describeClusterRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves information of a SageMaker HyperPod cluster.

This is a convenience which creates an instance of the DescribeClusterRequest.Builder avoiding the need to create one manually via DescribeClusterRequest.builder()

Parameters:

describeClusterRequest - A Consumer that will call methods on DescribeClusterRequest.Builder to create a request.

Returns:

Result of the DescribeCluster operation returned by the service.

See Also:

• AWS API Documentation

describeClusterEvent

default DescribeClusterEventResponse describeClusterEvent(DescribeClusterEventRequest describeClusterEventRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves detailed information about a specific event for a given HyperPod cluster. This functionality is only supported when the NodeProvisioningMode is set to Continuous.

Parameters:

describeClusterEventRequest -

Returns:

Result of the DescribeClusterEvent operation returned by the service.

See Also:

• AWS API Documentation

describeClusterEvent

default DescribeClusterEventResponse describeClusterEvent(Consumer<DescribeClusterEventRequest.Builder> describeClusterEventRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves detailed information about a specific event for a given HyperPod cluster. This functionality is only supported when the NodeProvisioningMode is set to Continuous.

This is a convenience which creates an instance of the DescribeClusterEventRequest.Builder avoiding the need to create one manually via DescribeClusterEventRequest.builder()

Parameters:

describeClusterEventRequest - A Consumer that will call methods on DescribeClusterEventRequest.Builder to create a request.

Returns:

Result of the DescribeClusterEvent operation returned by the service.

See Also:

• AWS API Documentation

describeClusterNode

default DescribeClusterNodeResponse describeClusterNode(DescribeClusterNodeRequest describeClusterNodeRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.

Parameters:

describeClusterNodeRequest -

Returns:

Result of the DescribeClusterNode operation returned by the service.

See Also:

• AWS API Documentation

describeClusterNode

default DescribeClusterNodeResponse describeClusterNode(Consumer<DescribeClusterNodeRequest.Builder> describeClusterNodeRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.

This is a convenience which creates an instance of the DescribeClusterNodeRequest.Builder avoiding the need to create one manually via DescribeClusterNodeRequest.builder()

Parameters:

describeClusterNodeRequest - A Consumer that will call methods on DescribeClusterNodeRequest.Builder to create a request.

Returns:

Result of the DescribeClusterNode operation returned by the service.

See Also:

• AWS API Documentation

describeClusterSchedulerConfig

default DescribeClusterSchedulerConfigResponse describeClusterSchedulerConfig(DescribeClusterSchedulerConfigRequest describeClusterSchedulerConfigRequest)
                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Description of the cluster policy. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.

Parameters:

describeClusterSchedulerConfigRequest -

Returns:

Result of the DescribeClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

describeClusterSchedulerConfig

default DescribeClusterSchedulerConfigResponse describeClusterSchedulerConfig(Consumer<DescribeClusterSchedulerConfigRequest.Builder> describeClusterSchedulerConfigRequest)
                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Description of the cluster policy. This policy is used for task prioritization and fair-share allocation. This helps prioritize critical workloads and distributes idle compute across entities.

This is a convenience which creates an instance of the DescribeClusterSchedulerConfigRequest.Builder avoiding the need to create one manually via DescribeClusterSchedulerConfigRequest.builder()

Parameters:

describeClusterSchedulerConfigRequest - A Consumer that will call methods on DescribeClusterSchedulerConfigRequest.Builder to create a request.

Returns:

Result of the DescribeClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

describeCodeRepository

default DescribeCodeRepositoryResponse describeCodeRepository(DescribeCodeRepositoryRequest describeCodeRepositoryRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Gets details about the specified Git repository.

Parameters:

describeCodeRepositoryRequest -

Returns:

Result of the DescribeCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

describeCodeRepository

default DescribeCodeRepositoryResponse describeCodeRepository(Consumer<DescribeCodeRepositoryRequest.Builder> describeCodeRepositoryRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeCodeRepositoryRequest - A Consumer that will call methods on DescribeCodeRepositoryRequest.Builder to create a request.

Returns:

Result of the DescribeCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

describeCompilationJob

default DescribeCompilationJobResponse describeCompilationJob(DescribeCompilationJobRequest describeCompilationJobRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

describeCompilationJobRequest -

Returns:

Result of the DescribeCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

describeCompilationJob

default DescribeCompilationJobResponse describeCompilationJob(Consumer<DescribeCompilationJobRequest.Builder> describeCompilationJobRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeCompilationJobRequest - A Consumer that will call methods on DescribeCompilationJobRequest.Builder to create a request.

Returns:

Result of the DescribeCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

describeComputeQuota

default DescribeComputeQuotaResponse describeComputeQuota(DescribeComputeQuotaRequest describeComputeQuotaRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Description of the compute allocation definition.

Parameters:

describeComputeQuotaRequest -

Returns:

Result of the DescribeComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

describeComputeQuota

default DescribeComputeQuotaResponse describeComputeQuota(Consumer<DescribeComputeQuotaRequest.Builder> describeComputeQuotaRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Description of the compute allocation definition.

This is a convenience which creates an instance of the DescribeComputeQuotaRequest.Builder avoiding the need to create one manually via DescribeComputeQuotaRequest.builder()

Parameters:

describeComputeQuotaRequest - A Consumer that will call methods on DescribeComputeQuotaRequest.Builder to create a request.

Returns:

Result of the DescribeComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

describeContext

default DescribeContextResponse describeContext(DescribeContextRequest describeContextRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a context.

Parameters:

describeContextRequest -

Returns:

Result of the DescribeContext operation returned by the service.

See Also:

• AWS API Documentation

describeContext

default DescribeContextResponse describeContext(Consumer<DescribeContextRequest.Builder> describeContextRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a context.

This is a convenience which creates an instance of the DescribeContextRequest.Builder avoiding the need to create one manually via DescribeContextRequest.builder()

Parameters:

describeContextRequest - A Consumer that will call methods on DescribeContextRequest.Builder to create a request.

Returns:

Result of the DescribeContext operation returned by the service.

See Also:

• AWS API Documentation

describeDataQualityJobDefinition

default DescribeDataQualityJobDefinitionResponse describeDataQualityJobDefinition(DescribeDataQualityJobDefinitionRequest describeDataQualityJobDefinitionRequest)
                                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets the details of a data quality monitoring job definition.

Parameters:

describeDataQualityJobDefinitionRequest -

Returns:

Result of the DescribeDataQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeDataQualityJobDefinition

default DescribeDataQualityJobDefinitionResponse describeDataQualityJobDefinition(Consumer<DescribeDataQualityJobDefinitionRequest.Builder> describeDataQualityJobDefinitionRequest)
                                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets the details of a data quality monitoring job definition.

This is a convenience which creates an instance of the DescribeDataQualityJobDefinitionRequest.Builder avoiding the need to create one manually via DescribeDataQualityJobDefinitionRequest.builder()

Parameters:

describeDataQualityJobDefinitionRequest - A Consumer that will call methods on DescribeDataQualityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DescribeDataQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeDevice

default DescribeDeviceResponse describeDevice(DescribeDeviceRequest describeDeviceRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the device.

Parameters:

describeDeviceRequest -

Returns:

Result of the DescribeDevice operation returned by the service.

See Also:

• AWS API Documentation

describeDevice

default DescribeDeviceResponse describeDevice(Consumer<DescribeDeviceRequest.Builder> describeDeviceRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the device.

This is a convenience which creates an instance of the DescribeDeviceRequest.Builder avoiding the need to create one manually via DescribeDeviceRequest.builder()

Parameters:

describeDeviceRequest - A Consumer that will call methods on DescribeDeviceRequest.Builder to create a request.

Returns:

Result of the DescribeDevice operation returned by the service.

See Also:

• AWS API Documentation

describeDeviceFleet

default DescribeDeviceFleetResponse describeDeviceFleet(DescribeDeviceFleetRequest describeDeviceFleetRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

A description of the fleet the device belongs to.

Parameters:

describeDeviceFleetRequest -

Returns:

Result of the DescribeDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

describeDeviceFleet

default DescribeDeviceFleetResponse describeDeviceFleet(Consumer<DescribeDeviceFleetRequest.Builder> describeDeviceFleetRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

A description of the fleet the device belongs to.

This is a convenience which creates an instance of the DescribeDeviceFleetRequest.Builder avoiding the need to create one manually via DescribeDeviceFleetRequest.builder()

Parameters:

describeDeviceFleetRequest - A Consumer that will call methods on DescribeDeviceFleetRequest.Builder to create a request.

Returns:

Result of the DescribeDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

describeDomain

default DescribeDomainResponse describeDomain(DescribeDomainRequest describeDomainRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

The description of the domain.

Parameters:

describeDomainRequest -

Returns:

Result of the DescribeDomain operation returned by the service.

See Also:

• AWS API Documentation

describeDomain

default DescribeDomainResponse describeDomain(Consumer<DescribeDomainRequest.Builder> describeDomainRequest)
                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

The description of the domain.

This is a convenience which creates an instance of the DescribeDomainRequest.Builder avoiding the need to create one manually via DescribeDomainRequest.builder()

Parameters:

describeDomainRequest - A Consumer that will call methods on DescribeDomainRequest.Builder to create a request.

Returns:

Result of the DescribeDomain operation returned by the service.

See Also:

• AWS API Documentation

describeEdgeDeploymentPlan

default DescribeEdgeDeploymentPlanResponse describeEdgeDeploymentPlan(DescribeEdgeDeploymentPlanRequest describeEdgeDeploymentPlanRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an edge deployment plan with deployment status per stage.

Parameters:

describeEdgeDeploymentPlanRequest -

Returns:

Result of the DescribeEdgeDeploymentPlan operation returned by the service.

See Also:

• AWS API Documentation

describeEdgeDeploymentPlan

default DescribeEdgeDeploymentPlanResponse describeEdgeDeploymentPlan(Consumer<DescribeEdgeDeploymentPlanRequest.Builder> describeEdgeDeploymentPlanRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an edge deployment plan with deployment status per stage.

This is a convenience which creates an instance of the DescribeEdgeDeploymentPlanRequest.Builder avoiding the need to create one manually via DescribeEdgeDeploymentPlanRequest.builder()

Parameters:

describeEdgeDeploymentPlanRequest - A Consumer that will call methods on DescribeEdgeDeploymentPlanRequest.Builder to create a request.

Returns:

Result of the DescribeEdgeDeploymentPlan operation returned by the service.

See Also:

• AWS API Documentation

describeEdgePackagingJob

default DescribeEdgePackagingJobResponse describeEdgePackagingJob(DescribeEdgePackagingJobRequest describeEdgePackagingJobRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

A description of edge packaging jobs.

Parameters:

describeEdgePackagingJobRequest -

Returns:

Result of the DescribeEdgePackagingJob operation returned by the service.

See Also:

• AWS API Documentation

describeEdgePackagingJob

default DescribeEdgePackagingJobResponse describeEdgePackagingJob(Consumer<DescribeEdgePackagingJobRequest.Builder> describeEdgePackagingJobRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

A description of edge packaging jobs.

This is a convenience which creates an instance of the DescribeEdgePackagingJobRequest.Builder avoiding the need to create one manually via DescribeEdgePackagingJobRequest.builder()

Parameters:

describeEdgePackagingJobRequest - A Consumer that will call methods on DescribeEdgePackagingJobRequest.Builder to create a request.

Returns:

Result of the DescribeEdgePackagingJob operation returned by the service.

See Also:

• AWS API Documentation

describeEndpoint

default DescribeEndpointResponse describeEndpoint(DescribeEndpointRequest describeEndpointRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns the description of an endpoint.

Parameters:

describeEndpointRequest -

Returns:

Result of the DescribeEndpoint operation returned by the service.

See Also:

• AWS API Documentation

describeEndpoint

default DescribeEndpointResponse describeEndpoint(Consumer<DescribeEndpointRequest.Builder> describeEndpointRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeEndpointRequest - A Consumer that will call methods on DescribeEndpointRequest.Builder to create a request.

Returns:

Result of the DescribeEndpoint operation returned by the service.

See Also:

• AWS API Documentation

describeEndpointConfig

default DescribeEndpointConfigResponse describeEndpointConfig(DescribeEndpointConfigRequest describeEndpointConfigRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Returns the description of an endpoint configuration created using the CreateEndpointConfig API.

Parameters:

describeEndpointConfigRequest -

Returns:

Result of the DescribeEndpointConfig operation returned by the service.

See Also:

• AWS API Documentation

describeEndpointConfig

default DescribeEndpointConfigResponse describeEndpointConfig(Consumer<DescribeEndpointConfigRequest.Builder> describeEndpointConfigRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeEndpointConfigRequest - A Consumer that will call methods on DescribeEndpointConfigRequest.Builder to create a request.

Returns:

Result of the DescribeEndpointConfig operation returned by the service.

See Also:

• AWS API Documentation

describeExperiment

default DescribeExperimentResponse describeExperiment(DescribeExperimentRequest describeExperimentRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of an experiment's properties.

Parameters:

describeExperimentRequest -

Returns:

Result of the DescribeExperiment operation returned by the service.

See Also:

• AWS API Documentation

describeExperiment

default DescribeExperimentResponse describeExperiment(Consumer<DescribeExperimentRequest.Builder> describeExperimentRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of an experiment's properties.

This is a convenience which creates an instance of the DescribeExperimentRequest.Builder avoiding the need to create one manually via DescribeExperimentRequest.builder()

Parameters:

describeExperimentRequest - A Consumer that will call methods on DescribeExperimentRequest.Builder to create a request.

Returns:

Result of the DescribeExperiment operation returned by the service.

See Also:

• AWS API Documentation

describeFeatureGroup

default DescribeFeatureGroupResponse describeFeatureGroup(DescribeFeatureGroupRequest describeFeatureGroupRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to describe a FeatureGroup. The response includes information on the creation time, FeatureGroup name, the unique identifier for each FeatureGroup, and more.

Parameters:

describeFeatureGroupRequest -

Returns:

Result of the DescribeFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

describeFeatureGroup

default DescribeFeatureGroupResponse describeFeatureGroup(Consumer<DescribeFeatureGroupRequest.Builder> describeFeatureGroupRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to describe a FeatureGroup. The response includes information on the creation time, FeatureGroup name, the unique identifier for each FeatureGroup, and more.

This is a convenience which creates an instance of the DescribeFeatureGroupRequest.Builder avoiding the need to create one manually via DescribeFeatureGroupRequest.builder()

Parameters:

describeFeatureGroupRequest - A Consumer that will call methods on DescribeFeatureGroupRequest.Builder to create a request.

Returns:

Result of the DescribeFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

describeFeatureMetadata

default DescribeFeatureMetadataResponse describeFeatureMetadata(DescribeFeatureMetadataRequest describeFeatureMetadataRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Shows the metadata for a feature within a feature group.

Parameters:

describeFeatureMetadataRequest -

Returns:

Result of the DescribeFeatureMetadata operation returned by the service.

See Also:

• AWS API Documentation

describeFeatureMetadata

default DescribeFeatureMetadataResponse describeFeatureMetadata(Consumer<DescribeFeatureMetadataRequest.Builder> describeFeatureMetadataRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Shows the metadata for a feature within a feature group.

This is a convenience which creates an instance of the DescribeFeatureMetadataRequest.Builder avoiding the need to create one manually via DescribeFeatureMetadataRequest.builder()

Parameters:

describeFeatureMetadataRequest - A Consumer that will call methods on DescribeFeatureMetadataRequest.Builder to create a request.

Returns:

Result of the DescribeFeatureMetadata operation returned by the service.

See Also:

• AWS API Documentation

describeFlowDefinition

default DescribeFlowDefinitionResponse describeFlowDefinition(DescribeFlowDefinitionRequest describeFlowDefinitionRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the specified flow definition.

Parameters:

describeFlowDefinitionRequest -

Returns:

Result of the DescribeFlowDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeFlowDefinition

default DescribeFlowDefinitionResponse describeFlowDefinition(Consumer<DescribeFlowDefinitionRequest.Builder> describeFlowDefinitionRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the specified flow definition.

This is a convenience which creates an instance of the DescribeFlowDefinitionRequest.Builder avoiding the need to create one manually via DescribeFlowDefinitionRequest.builder()

Parameters:

describeFlowDefinitionRequest - A Consumer that will call methods on DescribeFlowDefinitionRequest.Builder to create a request.

Returns:

Result of the DescribeFlowDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeHub

default DescribeHubResponse describeHub(DescribeHubRequest describeHubRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a hub.

Parameters:

describeHubRequest -

Returns:

Result of the DescribeHub operation returned by the service.

See Also:

• AWS API Documentation

describeHub

default DescribeHubResponse describeHub(Consumer<DescribeHubRequest.Builder> describeHubRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a hub.

This is a convenience which creates an instance of the DescribeHubRequest.Builder avoiding the need to create one manually via DescribeHubRequest.builder()

Parameters:

describeHubRequest - A Consumer that will call methods on DescribeHubRequest.Builder to create a request.

Returns:

Result of the DescribeHub operation returned by the service.

See Also:

• AWS API Documentation

describeHubContent

default DescribeHubContentResponse describeHubContent(DescribeHubContentRequest describeHubContentRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describe the content of a hub.

Parameters:

describeHubContentRequest -

Returns:

Result of the DescribeHubContent operation returned by the service.

See Also:

• AWS API Documentation

describeHubContent

default DescribeHubContentResponse describeHubContent(Consumer<DescribeHubContentRequest.Builder> describeHubContentRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describe the content of a hub.

This is a convenience which creates an instance of the DescribeHubContentRequest.Builder avoiding the need to create one manually via DescribeHubContentRequest.builder()

Parameters:

describeHubContentRequest - A Consumer that will call methods on DescribeHubContentRequest.Builder to create a request.

Returns:

Result of the DescribeHubContent operation returned by the service.

See Also:

• AWS API Documentation

describeHumanTaskUi

default DescribeHumanTaskUiResponse describeHumanTaskUi(DescribeHumanTaskUiRequest describeHumanTaskUiRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the requested human task user interface (worker task template).

Parameters:

describeHumanTaskUiRequest -

Returns:

Result of the DescribeHumanTaskUi operation returned by the service.

See Also:

• AWS API Documentation

describeHumanTaskUi

default DescribeHumanTaskUiResponse describeHumanTaskUi(Consumer<DescribeHumanTaskUiRequest.Builder> describeHumanTaskUiRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the requested human task user interface (worker task template).

This is a convenience which creates an instance of the DescribeHumanTaskUiRequest.Builder avoiding the need to create one manually via DescribeHumanTaskUiRequest.builder()

Parameters:

describeHumanTaskUiRequest - A Consumer that will call methods on DescribeHumanTaskUiRequest.Builder to create a request.

Returns:

Result of the DescribeHumanTaskUi operation returned by the service.

See Also:

• AWS API Documentation

describeHyperParameterTuningJob

default DescribeHyperParameterTuningJobResponse describeHyperParameterTuningJob(DescribeHyperParameterTuningJobRequest describeHyperParameterTuningJobRequest)
                                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.

Parameters:

describeHyperParameterTuningJobRequest -

Returns:

Result of the DescribeHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

describeHyperParameterTuningJob

default DescribeHyperParameterTuningJobResponse describeHyperParameterTuningJob(Consumer<DescribeHyperParameterTuningJobRequest.Builder> describeHyperParameterTuningJobRequest)
                                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.

This is a convenience which creates an instance of the DescribeHyperParameterTuningJobRequest.Builder avoiding the need to create one manually via DescribeHyperParameterTuningJobRequest.builder()

Parameters:

describeHyperParameterTuningJobRequest - A Consumer that will call methods on DescribeHyperParameterTuningJobRequest.Builder to create a request.

Returns:

Result of the DescribeHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

describeImage

default DescribeImageResponse describeImage(DescribeImageRequest describeImageRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a SageMaker AI image.

Parameters:

describeImageRequest -

Returns:

Result of the DescribeImage operation returned by the service.

See Also:

• AWS API Documentation

describeImage

default DescribeImageResponse describeImage(Consumer<DescribeImageRequest.Builder> describeImageRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a SageMaker AI image.

This is a convenience which creates an instance of the DescribeImageRequest.Builder avoiding the need to create one manually via DescribeImageRequest.builder()

Parameters:

describeImageRequest - A Consumer that will call methods on DescribeImageRequest.Builder to create a request.

Returns:

Result of the DescribeImage operation returned by the service.

See Also:

• AWS API Documentation

describeImageVersion

default DescribeImageVersionResponse describeImageVersion(DescribeImageVersionRequest describeImageVersionRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a version of a SageMaker AI image.

Parameters:

describeImageVersionRequest -

Returns:

Result of the DescribeImageVersion operation returned by the service.

See Also:

• AWS API Documentation

describeImageVersion

default DescribeImageVersionResponse describeImageVersion(Consumer<DescribeImageVersionRequest.Builder> describeImageVersionRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a version of a SageMaker AI image.

This is a convenience which creates an instance of the DescribeImageVersionRequest.Builder avoiding the need to create one manually via DescribeImageVersionRequest.builder()

Parameters:

describeImageVersionRequest - A Consumer that will call methods on DescribeImageVersionRequest.Builder to create a request.

Returns:

Result of the DescribeImageVersion operation returned by the service.

See Also:

• AWS API Documentation

describeInferenceComponent

default DescribeInferenceComponentResponse describeInferenceComponent(DescribeInferenceComponentRequest describeInferenceComponentRequest)
                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an inference component.

Parameters:

describeInferenceComponentRequest -

Returns:

Result of the DescribeInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

describeInferenceComponent

default DescribeInferenceComponentResponse describeInferenceComponent(Consumer<DescribeInferenceComponentRequest.Builder> describeInferenceComponentRequest)
                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an inference component.

This is a convenience which creates an instance of the DescribeInferenceComponentRequest.Builder avoiding the need to create one manually via DescribeInferenceComponentRequest.builder()

Parameters:

describeInferenceComponentRequest - A Consumer that will call methods on DescribeInferenceComponentRequest.Builder to create a request.

Returns:

Result of the DescribeInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

describeInferenceExperiment

default DescribeInferenceExperimentResponse describeInferenceExperiment(DescribeInferenceExperimentRequest describeInferenceExperimentRequest)
                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns details about an inference experiment.

Parameters:

describeInferenceExperimentRequest -

Returns:

Result of the DescribeInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

describeInferenceExperiment

default DescribeInferenceExperimentResponse describeInferenceExperiment(Consumer<DescribeInferenceExperimentRequest.Builder> describeInferenceExperimentRequest)
                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns details about an inference experiment.

This is a convenience which creates an instance of the DescribeInferenceExperimentRequest.Builder avoiding the need to create one manually via DescribeInferenceExperimentRequest.builder()

Parameters:

describeInferenceExperimentRequest - A Consumer that will call methods on DescribeInferenceExperimentRequest.Builder to create a request.

Returns:

Result of the DescribeInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

describeInferenceRecommendationsJob

default DescribeInferenceRecommendationsJobResponse describeInferenceRecommendationsJob(DescribeInferenceRecommendationsJobRequest describeInferenceRecommendationsJobRequest)
                                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides the results of the Inference Recommender job. One or more recommendation jobs are returned.

Parameters:

describeInferenceRecommendationsJobRequest -

Returns:

Result of the DescribeInferenceRecommendationsJob operation returned by the service.

See Also:

• AWS API Documentation

describeInferenceRecommendationsJob

default DescribeInferenceRecommendationsJobResponse describeInferenceRecommendationsJob(Consumer<DescribeInferenceRecommendationsJobRequest.Builder> describeInferenceRecommendationsJobRequest)
                                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides the results of the Inference Recommender job. One or more recommendation jobs are returned.

This is a convenience which creates an instance of the DescribeInferenceRecommendationsJobRequest.Builder avoiding the need to create one manually via DescribeInferenceRecommendationsJobRequest.builder()

Parameters:

describeInferenceRecommendationsJobRequest - A Consumer that will call methods on DescribeInferenceRecommendationsJobRequest.Builder to create a request.

Returns:

Result of the DescribeInferenceRecommendationsJob operation returned by the service.

See Also:

• AWS API Documentation

describeLabelingJob

default DescribeLabelingJobResponse describeLabelingJob(DescribeLabelingJobRequest describeLabelingJobRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a labeling job.

Parameters:

describeLabelingJobRequest -

Returns:

Result of the DescribeLabelingJob operation returned by the service.

See Also:

• AWS API Documentation

describeLabelingJob

default DescribeLabelingJobResponse describeLabelingJob(Consumer<DescribeLabelingJobRequest.Builder> describeLabelingJobRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeLabelingJobRequest - A Consumer that will call methods on DescribeLabelingJobRequest.Builder to create a request.

Returns:

Result of the DescribeLabelingJob operation returned by the service.

See Also:

• AWS API Documentation

describeLineageGroup

default DescribeLineageGroupResponse describeLineageGroup(DescribeLineageGroupRequest describeLineageGroupRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of properties for the requested lineage group. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.

Parameters:

describeLineageGroupRequest -

Returns:

Result of the DescribeLineageGroup operation returned by the service.

See Also:

• AWS API Documentation

describeLineageGroup

default DescribeLineageGroupResponse describeLineageGroup(Consumer<DescribeLineageGroupRequest.Builder> describeLineageGroupRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of properties for the requested lineage group. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.

This is a convenience which creates an instance of the DescribeLineageGroupRequest.Builder avoiding the need to create one manually via DescribeLineageGroupRequest.builder()

Parameters:

describeLineageGroupRequest - A Consumer that will call methods on DescribeLineageGroupRequest.Builder to create a request.

Returns:

Result of the DescribeLineageGroup operation returned by the service.

See Also:

• AWS API Documentation

describeMlflowTrackingServer

default DescribeMlflowTrackingServerResponse describeMlflowTrackingServer(DescribeMlflowTrackingServerRequest describeMlflowTrackingServerRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an MLflow Tracking Server.

Parameters:

describeMlflowTrackingServerRequest -

Returns:

Result of the DescribeMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

describeMlflowTrackingServer

default DescribeMlflowTrackingServerResponse describeMlflowTrackingServer(Consumer<DescribeMlflowTrackingServerRequest.Builder> describeMlflowTrackingServerRequest)
                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about an MLflow Tracking Server.

This is a convenience which creates an instance of the DescribeMlflowTrackingServerRequest.Builder avoiding the need to create one manually via DescribeMlflowTrackingServerRequest.builder()

Parameters:

describeMlflowTrackingServerRequest - A Consumer that will call methods on DescribeMlflowTrackingServerRequest.Builder to create a request.

Returns:

Result of the DescribeMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

describeModel

default DescribeModelResponse describeModel(DescribeModelRequest describeModelRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Describes a model that you created using the CreateModel API.

Parameters:

describeModelRequest -

Returns:

Result of the DescribeModel operation returned by the service.

See Also:

• AWS API Documentation

describeModel

default DescribeModelResponse describeModel(Consumer<DescribeModelRequest.Builder> describeModelRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeModelRequest - A Consumer that will call methods on DescribeModelRequest.Builder to create a request.

Returns:

Result of the DescribeModel operation returned by the service.

See Also:

• AWS API Documentation

describeModelBiasJobDefinition

default DescribeModelBiasJobDefinitionResponse describeModelBiasJobDefinition(DescribeModelBiasJobDefinitionRequest describeModelBiasJobDefinitionRequest)
                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a model bias job definition.

Parameters:

describeModelBiasJobDefinitionRequest -

Returns:

Result of the DescribeModelBiasJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeModelBiasJobDefinition

default DescribeModelBiasJobDefinitionResponse describeModelBiasJobDefinition(Consumer<DescribeModelBiasJobDefinitionRequest.Builder> describeModelBiasJobDefinitionRequest)
                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a model bias job definition.

This is a convenience which creates an instance of the DescribeModelBiasJobDefinitionRequest.Builder avoiding the need to create one manually via DescribeModelBiasJobDefinitionRequest.builder()

Parameters:

describeModelBiasJobDefinitionRequest - A Consumer that will call methods on DescribeModelBiasJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DescribeModelBiasJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeModelCard

default DescribeModelCardResponse describeModelCard(DescribeModelCardRequest describeModelCardRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.

Parameters:

describeModelCardRequest -

Returns:

Result of the DescribeModelCard operation returned by the service.

See Also:

• AWS API Documentation

describeModelCard

default DescribeModelCardResponse describeModelCard(Consumer<DescribeModelCardRequest.Builder> describeModelCardRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.

This is a convenience which creates an instance of the DescribeModelCardRequest.Builder avoiding the need to create one manually via DescribeModelCardRequest.builder()

Parameters:

describeModelCardRequest - A Consumer that will call methods on DescribeModelCardRequest.Builder to create a request.

Returns:

Result of the DescribeModelCard operation returned by the service.

See Also:

• AWS API Documentation

describeModelCardExportJob

default DescribeModelCardExportJobResponse describeModelCardExportJob(DescribeModelCardExportJobRequest describeModelCardExportJobRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an Amazon SageMaker Model Card export job.

Parameters:

describeModelCardExportJobRequest -

Returns:

Result of the DescribeModelCardExportJob operation returned by the service.

See Also:

• AWS API Documentation

describeModelCardExportJob

default DescribeModelCardExportJobResponse describeModelCardExportJob(Consumer<DescribeModelCardExportJobRequest.Builder> describeModelCardExportJobRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes an Amazon SageMaker Model Card export job.

This is a convenience which creates an instance of the DescribeModelCardExportJobRequest.Builder avoiding the need to create one manually via DescribeModelCardExportJobRequest.builder()

Parameters:

describeModelCardExportJobRequest - A Consumer that will call methods on DescribeModelCardExportJobRequest.Builder to create a request.

Returns:

Result of the DescribeModelCardExportJob operation returned by the service.

See Also:

• AWS API Documentation

describeModelExplainabilityJobDefinition

default DescribeModelExplainabilityJobDefinitionResponse describeModelExplainabilityJobDefinition(DescribeModelExplainabilityJobDefinitionRequest describeModelExplainabilityJobDefinitionRequest)
                                                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a model explainability job definition.

Parameters:

describeModelExplainabilityJobDefinitionRequest -

Returns:

Result of the DescribeModelExplainabilityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeModelExplainabilityJobDefinition

default DescribeModelExplainabilityJobDefinitionResponse describeModelExplainabilityJobDefinition(Consumer<DescribeModelExplainabilityJobDefinitionRequest.Builder> describeModelExplainabilityJobDefinitionRequest)
                                                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a model explainability job definition.

This is a convenience which creates an instance of the DescribeModelExplainabilityJobDefinitionRequest.Builder avoiding the need to create one manually via DescribeModelExplainabilityJobDefinitionRequest.builder()

Parameters:

describeModelExplainabilityJobDefinitionRequest - A Consumer that will call methods on DescribeModelExplainabilityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DescribeModelExplainabilityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeModelPackage

default DescribeModelPackageResponse describeModelPackage(DescribeModelPackageRequest describeModelPackageRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.

If you provided a KMS Key ID when you created your model package, you will see the KMS Decrypt API call in your CloudTrail logs when you use this API.

To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.

Parameters:

describeModelPackageRequest -

Returns:

Result of the DescribeModelPackage operation returned by the service.

See Also:

• AWS API Documentation

describeModelPackage

default DescribeModelPackageResponse describeModelPackage(Consumer<DescribeModelPackageRequest.Builder> describeModelPackageRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.

If you provided a KMS Key ID when you created your model package, you will see the KMS Decrypt API call in your CloudTrail logs when you use this API.

To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.

This is a convenience which creates an instance of the DescribeModelPackageRequest.Builder avoiding the need to create one manually via DescribeModelPackageRequest.builder()

Parameters:

describeModelPackageRequest - A Consumer that will call methods on DescribeModelPackageRequest.Builder to create a request.

Returns:

Result of the DescribeModelPackage operation returned by the service.

See Also:

• AWS API Documentation

describeModelPackageGroup

default DescribeModelPackageGroupResponse describeModelPackageGroup(DescribeModelPackageGroupRequest describeModelPackageGroupRequest)
                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a description for the specified model group.

Parameters:

describeModelPackageGroupRequest -

Returns:

Result of the DescribeModelPackageGroup operation returned by the service.

See Also:

• AWS API Documentation

describeModelPackageGroup

default DescribeModelPackageGroupResponse describeModelPackageGroup(Consumer<DescribeModelPackageGroupRequest.Builder> describeModelPackageGroupRequest)
                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a description for the specified model group.

This is a convenience which creates an instance of the DescribeModelPackageGroupRequest.Builder avoiding the need to create one manually via DescribeModelPackageGroupRequest.builder()

Parameters:

describeModelPackageGroupRequest - A Consumer that will call methods on DescribeModelPackageGroupRequest.Builder to create a request.

Returns:

Result of the DescribeModelPackageGroup operation returned by the service.

See Also:

• AWS API Documentation

describeModelQualityJobDefinition

default DescribeModelQualityJobDefinitionResponse describeModelQualityJobDefinition(DescribeModelQualityJobDefinitionRequest describeModelQualityJobDefinitionRequest)
                                                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a model quality job definition.

Parameters:

describeModelQualityJobDefinitionRequest -

Returns:

Result of the DescribeModelQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeModelQualityJobDefinition

default DescribeModelQualityJobDefinitionResponse describeModelQualityJobDefinition(Consumer<DescribeModelQualityJobDefinitionRequest.Builder> describeModelQualityJobDefinitionRequest)
                                                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a model quality job definition.

This is a convenience which creates an instance of the DescribeModelQualityJobDefinitionRequest.Builder avoiding the need to create one manually via DescribeModelQualityJobDefinitionRequest.builder()

Parameters:

describeModelQualityJobDefinitionRequest - A Consumer that will call methods on DescribeModelQualityJobDefinitionRequest.Builder to create a request.

Returns:

Result of the DescribeModelQualityJobDefinition operation returned by the service.

See Also:

• AWS API Documentation

describeMonitoringSchedule

default DescribeMonitoringScheduleResponse describeMonitoringSchedule(DescribeMonitoringScheduleRequest describeMonitoringScheduleRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the schedule for a monitoring job.

Parameters:

describeMonitoringScheduleRequest -

Returns:

Result of the DescribeMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

describeMonitoringSchedule

default DescribeMonitoringScheduleResponse describeMonitoringSchedule(Consumer<DescribeMonitoringScheduleRequest.Builder> describeMonitoringScheduleRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the schedule for a monitoring job.

This is a convenience which creates an instance of the DescribeMonitoringScheduleRequest.Builder avoiding the need to create one manually via DescribeMonitoringScheduleRequest.builder()

Parameters:

describeMonitoringScheduleRequest - A Consumer that will call methods on DescribeMonitoringScheduleRequest.Builder to create a request.

Returns:

Result of the DescribeMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

describeNotebookInstance

default DescribeNotebookInstanceResponse describeNotebookInstance(DescribeNotebookInstanceRequest describeNotebookInstanceRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about a notebook instance.

Parameters:

describeNotebookInstanceRequest -

Returns:

Result of the DescribeNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

describeNotebookInstance

default DescribeNotebookInstanceResponse describeNotebookInstance(Consumer<DescribeNotebookInstanceRequest.Builder> describeNotebookInstanceRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeNotebookInstanceRequest - A Consumer that will call methods on DescribeNotebookInstanceRequest.Builder to create a request.

Returns:

Result of the DescribeNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

describeNotebookInstanceLifecycleConfig

default DescribeNotebookInstanceLifecycleConfigResponse describeNotebookInstanceLifecycleConfig(DescribeNotebookInstanceLifecycleConfigRequest describeNotebookInstanceLifecycleConfigRequest)
                                                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

describeNotebookInstanceLifecycleConfigRequest -

Returns:

Result of the DescribeNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

describeNotebookInstanceLifecycleConfig

default DescribeNotebookInstanceLifecycleConfigResponse describeNotebookInstanceLifecycleConfig(Consumer<DescribeNotebookInstanceLifecycleConfigRequest.Builder> describeNotebookInstanceLifecycleConfigRequest)
                                                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on DescribeNotebookInstanceLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the DescribeNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

describeOptimizationJob

default DescribeOptimizationJobResponse describeOptimizationJob(DescribeOptimizationJobRequest describeOptimizationJobRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides the properties of the specified optimization job.

Parameters:

describeOptimizationJobRequest -

Returns:

Result of the DescribeOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

describeOptimizationJob

default DescribeOptimizationJobResponse describeOptimizationJob(Consumer<DescribeOptimizationJobRequest.Builder> describeOptimizationJobRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides the properties of the specified optimization job.

This is a convenience which creates an instance of the DescribeOptimizationJobRequest.Builder avoiding the need to create one manually via DescribeOptimizationJobRequest.builder()

Parameters:

describeOptimizationJobRequest - A Consumer that will call methods on DescribeOptimizationJobRequest.Builder to create a request.

Returns:

Result of the DescribeOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

describePartnerApp

default DescribePartnerAppResponse describePartnerApp(DescribePartnerAppRequest describePartnerAppRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a SageMaker Partner AI App.

Parameters:

describePartnerAppRequest -

Returns:

Result of the DescribePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

describePartnerApp

default DescribePartnerAppResponse describePartnerApp(Consumer<DescribePartnerAppRequest.Builder> describePartnerAppRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a SageMaker Partner AI App.

This is a convenience which creates an instance of the DescribePartnerAppRequest.Builder avoiding the need to create one manually via DescribePartnerAppRequest.builder()

Parameters:

describePartnerAppRequest - A Consumer that will call methods on DescribePartnerAppRequest.Builder to create a request.

Returns:

Result of the DescribePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

describePipeline

default DescribePipelineResponse describePipeline(DescribePipelineRequest describePipelineRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of a pipeline.

Parameters:

describePipelineRequest -

Returns:

Result of the DescribePipeline operation returned by the service.

See Also:

• AWS API Documentation

describePipeline

default DescribePipelineResponse describePipeline(Consumer<DescribePipelineRequest.Builder> describePipelineRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of a pipeline.

This is a convenience which creates an instance of the DescribePipelineRequest.Builder avoiding the need to create one manually via DescribePipelineRequest.builder()

Parameters:

describePipelineRequest - A Consumer that will call methods on DescribePipelineRequest.Builder to create a request.

Returns:

Result of the DescribePipeline operation returned by the service.

See Also:

• AWS API Documentation

describePipelineDefinitionForExecution

default DescribePipelineDefinitionForExecutionResponse describePipelineDefinitionForExecution(DescribePipelineDefinitionForExecutionRequest describePipelineDefinitionForExecutionRequest)
                                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of an execution's pipeline definition.

Parameters:

describePipelineDefinitionForExecutionRequest -

Returns:

Result of the DescribePipelineDefinitionForExecution operation returned by the service.

See Also:

• AWS API Documentation

describePipelineDefinitionForExecution

default DescribePipelineDefinitionForExecutionResponse describePipelineDefinitionForExecution(Consumer<DescribePipelineDefinitionForExecutionRequest.Builder> describePipelineDefinitionForExecutionRequest)
                                                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of an execution's pipeline definition.

This is a convenience which creates an instance of the DescribePipelineDefinitionForExecutionRequest.Builder avoiding the need to create one manually via DescribePipelineDefinitionForExecutionRequest.builder()

Parameters:

describePipelineDefinitionForExecutionRequest - A Consumer that will call methods on DescribePipelineDefinitionForExecutionRequest.Builder to create a request.

Returns:

Result of the DescribePipelineDefinitionForExecution operation returned by the service.

See Also:

• AWS API Documentation

describePipelineExecution

default DescribePipelineExecutionResponse describePipelineExecution(DescribePipelineExecutionRequest describePipelineExecutionRequest)
                                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of a pipeline execution.

Parameters:

describePipelineExecutionRequest -

Returns:

Result of the DescribePipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

describePipelineExecution

default DescribePipelineExecutionResponse describePipelineExecution(Consumer<DescribePipelineExecutionRequest.Builder> describePipelineExecutionRequest)
                                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of a pipeline execution.

This is a convenience which creates an instance of the DescribePipelineExecutionRequest.Builder avoiding the need to create one manually via DescribePipelineExecutionRequest.builder()

Parameters:

describePipelineExecutionRequest - A Consumer that will call methods on DescribePipelineExecutionRequest.Builder to create a request.

Returns:

Result of the DescribePipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

describeProcessingJob

default DescribeProcessingJobResponse describeProcessingJob(DescribeProcessingJobRequest describeProcessingJobRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a processing job.

Parameters:

describeProcessingJobRequest -

Returns:

Result of the DescribeProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

describeProcessingJob

default DescribeProcessingJobResponse describeProcessingJob(Consumer<DescribeProcessingJobRequest.Builder> describeProcessingJobRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a description of a processing job.

This is a convenience which creates an instance of the DescribeProcessingJobRequest.Builder avoiding the need to create one manually via DescribeProcessingJobRequest.builder()

Parameters:

describeProcessingJobRequest - A Consumer that will call methods on DescribeProcessingJobRequest.Builder to create a request.

Returns:

Result of the DescribeProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

describeProject

default DescribeProjectResponse describeProject(DescribeProjectRequest describeProjectRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of a project.

Parameters:

describeProjectRequest -

Returns:

Result of the DescribeProject operation returned by the service.

See Also:

• AWS API Documentation

describeProject

default DescribeProjectResponse describeProject(Consumer<DescribeProjectRequest.Builder> describeProjectRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Describes the details of a project.

This is a convenience which creates an instance of the DescribeProjectRequest.Builder avoiding the need to create one manually via DescribeProjectRequest.builder()

Parameters:

describeProjectRequest - A Consumer that will call methods on DescribeProjectRequest.Builder to create a request.

Returns:

Result of the DescribeProject operation returned by the service.

See Also:

• AWS API Documentation

describeReservedCapacity

default DescribeReservedCapacityResponse describeReservedCapacity(DescribeReservedCapacityRequest describeReservedCapacityRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves details about a reserved capacity.

Parameters:

describeReservedCapacityRequest -

Returns:

Result of the DescribeReservedCapacity operation returned by the service.

See Also:

• AWS API Documentation

describeReservedCapacity

default DescribeReservedCapacityResponse describeReservedCapacity(Consumer<DescribeReservedCapacityRequest.Builder> describeReservedCapacityRequest)
                                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves details about a reserved capacity.

This is a convenience which creates an instance of the DescribeReservedCapacityRequest.Builder avoiding the need to create one manually via DescribeReservedCapacityRequest.builder()

Parameters:

describeReservedCapacityRequest - A Consumer that will call methods on DescribeReservedCapacityRequest.Builder to create a request.

Returns:

Result of the DescribeReservedCapacity operation returned by the service.

See Also:

• AWS API Documentation

describeSpace

default DescribeSpaceResponse describeSpace(DescribeSpaceRequest describeSpaceRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the space.

Parameters:

describeSpaceRequest -

Returns:

Result of the DescribeSpace operation returned by the service.

See Also:

• AWS API Documentation

describeSpace

default DescribeSpaceResponse describeSpace(Consumer<DescribeSpaceRequest.Builder> describeSpaceRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the space.

This is a convenience which creates an instance of the DescribeSpaceRequest.Builder avoiding the need to create one manually via DescribeSpaceRequest.builder()

Parameters:

describeSpaceRequest - A Consumer that will call methods on DescribeSpaceRequest.Builder to create a request.

Returns:

Result of the DescribeSpace operation returned by the service.

See Also:

• AWS API Documentation

describeStudioLifecycleConfig

default DescribeStudioLifecycleConfigResponse describeStudioLifecycleConfig(DescribeStudioLifecycleConfigRequest describeStudioLifecycleConfigRequest)
                                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the Amazon SageMaker AI Studio Lifecycle Configuration.

Parameters:

describeStudioLifecycleConfigRequest -

Returns:

Result of the DescribeStudioLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

describeStudioLifecycleConfig

default DescribeStudioLifecycleConfigResponse describeStudioLifecycleConfig(Consumer<DescribeStudioLifecycleConfigRequest.Builder> describeStudioLifecycleConfigRequest)
                                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes the Amazon SageMaker AI Studio Lifecycle Configuration.

This is a convenience which creates an instance of the DescribeStudioLifecycleConfigRequest.Builder avoiding the need to create one manually via DescribeStudioLifecycleConfigRequest.builder()

Parameters:

describeStudioLifecycleConfigRequest - A Consumer that will call methods on DescribeStudioLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the DescribeStudioLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

describeSubscribedWorkteam

default DescribeSubscribedWorkteamResponse describeSubscribedWorkteam(DescribeSubscribedWorkteamRequest describeSubscribedWorkteamRequest)
                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.

Parameters:

describeSubscribedWorkteamRequest -

Returns:

Result of the DescribeSubscribedWorkteam operation returned by the service.

See Also:

• AWS API Documentation

describeSubscribedWorkteam

default DescribeSubscribedWorkteamResponse describeSubscribedWorkteam(Consumer<DescribeSubscribedWorkteamRequest.Builder> describeSubscribedWorkteamRequest)
                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.

This is a convenience which creates an instance of the DescribeSubscribedWorkteamRequest.Builder avoiding the need to create one manually via DescribeSubscribedWorkteamRequest.builder()

Parameters:

describeSubscribedWorkteamRequest - A Consumer that will call methods on DescribeSubscribedWorkteamRequest.Builder to create a request.

Returns:

Result of the DescribeSubscribedWorkteam operation returned by the service.

See Also:

• AWS API Documentation

describeTrainingJob

default DescribeTrainingJobResponse describeTrainingJob(DescribeTrainingJobRequest describeTrainingJobRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about a training job.

Some of the attributes below only appear if the training job successfully starts. If the training job fails, TrainingJobStatus is Failed and, depending on the FailureReason, attributes like TrainingStartTime, TrainingTimeInSeconds, TrainingEndTime, and BillableTimeInSeconds may not be present in the response.

Parameters:

describeTrainingJobRequest -

Returns:

Result of the DescribeTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

describeTrainingJob

default DescribeTrainingJobResponse describeTrainingJob(Consumer<DescribeTrainingJobRequest.Builder> describeTrainingJobRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about a training job.

Some of the attributes below only appear if the training job successfully starts. If the training job fails, TrainingJobStatus is Failed and, depending on the FailureReason, attributes like TrainingStartTime, TrainingTimeInSeconds, TrainingEndTime, and BillableTimeInSeconds may not be present in the response.

This is a convenience which creates an instance of the DescribeTrainingJobRequest.Builder avoiding the need to create one manually via DescribeTrainingJobRequest.builder()

Parameters:

describeTrainingJobRequest - A Consumer that will call methods on DescribeTrainingJobRequest.Builder to create a request.

Returns:

Result of the DescribeTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

describeTrainingPlan

default DescribeTrainingPlanResponse describeTrainingPlan(DescribeTrainingPlanRequest describeTrainingPlanRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves detailed information about a specific training plan.

Parameters:

describeTrainingPlanRequest -

Returns:

Result of the DescribeTrainingPlan operation returned by the service.

See Also:

• AWS API Documentation

describeTrainingPlan

default DescribeTrainingPlanResponse describeTrainingPlan(Consumer<DescribeTrainingPlanRequest.Builder> describeTrainingPlanRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves detailed information about a specific training plan.

This is a convenience which creates an instance of the DescribeTrainingPlanRequest.Builder avoiding the need to create one manually via DescribeTrainingPlanRequest.builder()

Parameters:

describeTrainingPlanRequest - A Consumer that will call methods on DescribeTrainingPlanRequest.Builder to create a request.

Returns:

Result of the DescribeTrainingPlan operation returned by the service.

See Also:

• AWS API Documentation

describeTransformJob

default DescribeTransformJobResponse describeTransformJob(DescribeTransformJobRequest describeTransformJobRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns information about a transform job.

Parameters:

describeTransformJobRequest -

Returns:

Result of the DescribeTransformJob operation returned by the service.

See Also:

• AWS API Documentation

describeTransformJob

default DescribeTransformJobResponse describeTransformJob(Consumer<DescribeTransformJobRequest.Builder> describeTransformJobRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

describeTransformJobRequest - A Consumer that will call methods on DescribeTransformJobRequest.Builder to create a request.

Returns:

Result of the DescribeTransformJob operation returned by the service.

See Also:

• AWS API Documentation

describeTrial

default DescribeTrialResponse describeTrial(DescribeTrialRequest describeTrialRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of a trial's properties.

Parameters:

describeTrialRequest -

Returns:

Result of the DescribeTrial operation returned by the service.

See Also:

• AWS API Documentation

describeTrial

default DescribeTrialResponse describeTrial(Consumer<DescribeTrialRequest.Builder> describeTrialRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of a trial's properties.

This is a convenience which creates an instance of the DescribeTrialRequest.Builder avoiding the need to create one manually via DescribeTrialRequest.builder()

Parameters:

describeTrialRequest - A Consumer that will call methods on DescribeTrialRequest.Builder to create a request.

Returns:

Result of the DescribeTrial operation returned by the service.

See Also:

• AWS API Documentation

describeTrialComponent

default DescribeTrialComponentResponse describeTrialComponent(DescribeTrialComponentRequest describeTrialComponentRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of a trials component's properties.

Parameters:

describeTrialComponentRequest -

Returns:

Result of the DescribeTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

describeTrialComponent

default DescribeTrialComponentResponse describeTrialComponent(Consumer<DescribeTrialComponentRequest.Builder> describeTrialComponentRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Provides a list of a trials component's properties.

This is a convenience which creates an instance of the DescribeTrialComponentRequest.Builder avoiding the need to create one manually via DescribeTrialComponentRequest.builder()

Parameters:

describeTrialComponentRequest - A Consumer that will call methods on DescribeTrialComponentRequest.Builder to create a request.

Returns:

Result of the DescribeTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

describeUserProfile

default DescribeUserProfileResponse describeUserProfile(DescribeUserProfileRequest describeUserProfileRequest)
                                                 throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a user profile. For more information, see CreateUserProfile.

Parameters:

describeUserProfileRequest -

Returns:

Result of the DescribeUserProfile operation returned by the service.

See Also:

• AWS API Documentation

describeUserProfile

default DescribeUserProfileResponse describeUserProfile(Consumer<DescribeUserProfileRequest.Builder> describeUserProfileRequest)
                                                 throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Describes a user profile. For more information, see CreateUserProfile.

This is a convenience which creates an instance of the DescribeUserProfileRequest.Builder avoiding the need to create one manually via DescribeUserProfileRequest.builder()

Parameters:

describeUserProfileRequest - A Consumer that will call methods on DescribeUserProfileRequest.Builder to create a request.

Returns:

Result of the DescribeUserProfile operation returned by the service.

See Also:

• AWS API Documentation

describeWorkforce

default DescribeWorkforceResponse describeWorkforce(DescribeWorkforceRequest describeWorkforceRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.

This operation applies only to private workforces.

Parameters:

describeWorkforceRequest -

Returns:

Result of the DescribeWorkforce operation returned by the service.

See Also:

• AWS API Documentation

describeWorkforce

default DescribeWorkforceResponse describeWorkforce(Consumer<DescribeWorkforceRequest.Builder> describeWorkforceRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.

This operation applies only to private workforces.

This is a convenience which creates an instance of the DescribeWorkforceRequest.Builder avoiding the need to create one manually via DescribeWorkforceRequest.builder()

Parameters:

describeWorkforceRequest - A Consumer that will call methods on DescribeWorkforceRequest.Builder to create a request.

Returns:

Result of the DescribeWorkforce operation returned by the service.

See Also:

• AWS API Documentation

describeWorkteam

default DescribeWorkteamResponse describeWorkteam(DescribeWorkteamRequest describeWorkteamRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a specific work team. You can see information such as the creation date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).

Parameters:

describeWorkteamRequest -

Returns:

Result of the DescribeWorkteam operation returned by the service.

See Also:

• AWS API Documentation

describeWorkteam

default DescribeWorkteamResponse describeWorkteam(Consumer<DescribeWorkteamRequest.Builder> describeWorkteamRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Gets information about a specific work team. You can see information such as the creation 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()

Parameters:

describeWorkteamRequest - A Consumer that will call methods on DescribeWorkteamRequest.Builder to create a request.

Returns:

Result of the DescribeWorkteam operation returned by the service.

See Also:

• AWS API Documentation

detachClusterNodeVolume

default DetachClusterNodeVolumeResponse detachClusterNodeVolume(DetachClusterNodeVolumeRequest detachClusterNodeVolumeRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Detaches your Amazon Elastic Block Store (Amazon EBS) volume from a node in your EKS orchestrated SageMaker HyperPod cluster.

This API works with the Amazon Elastic Block Store (Amazon EBS) Container Storage Interface (CSI) driver to manage the lifecycle of persistent storage in your HyperPod EKS clusters.

Parameters:

detachClusterNodeVolumeRequest -

Returns:

Result of the DetachClusterNodeVolume operation returned by the service.

See Also:

• AWS API Documentation

detachClusterNodeVolume

default DetachClusterNodeVolumeResponse detachClusterNodeVolume(Consumer<DetachClusterNodeVolumeRequest.Builder> detachClusterNodeVolumeRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Detaches your Amazon Elastic Block Store (Amazon EBS) volume from a node in your EKS orchestrated SageMaker HyperPod cluster.

This API works with the Amazon Elastic Block Store (Amazon EBS) Container Storage Interface (CSI) driver to manage the lifecycle of persistent storage in your HyperPod EKS clusters.

This is a convenience which creates an instance of the DetachClusterNodeVolumeRequest.Builder avoiding the need to create one manually via DetachClusterNodeVolumeRequest.builder()

Parameters:

detachClusterNodeVolumeRequest - A Consumer that will call methods on DetachClusterNodeVolumeRequest.Builder to create a request.

Returns:

Result of the DetachClusterNodeVolume operation returned by the service.

See Also:

• AWS API Documentation

disableSagemakerServicecatalogPortfolio

default DisableSagemakerServicecatalogPortfolioResponse disableSagemakerServicecatalogPortfolio(DisableSagemakerServicecatalogPortfolioRequest disableSagemakerServicecatalogPortfolioRequest)
                                                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Disables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.

Parameters:

disableSagemakerServicecatalogPortfolioRequest -

Returns:

Result of the DisableSagemakerServicecatalogPortfolio operation returned by the service.

See Also:

• AWS API Documentation

disableSagemakerServicecatalogPortfolio

default DisableSagemakerServicecatalogPortfolioResponse disableSagemakerServicecatalogPortfolio(Consumer<DisableSagemakerServicecatalogPortfolioRequest.Builder> disableSagemakerServicecatalogPortfolioRequest)
                                                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Disables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.

This is a convenience which creates an instance of the DisableSagemakerServicecatalogPortfolioRequest.Builder avoiding the need to create one manually via DisableSagemakerServicecatalogPortfolioRequest.builder()

Parameters:

disableSagemakerServicecatalogPortfolioRequest - A Consumer that will call methods on DisableSagemakerServicecatalogPortfolioRequest.Builder to create a request.

Returns:

Result of the DisableSagemakerServicecatalogPortfolio operation returned by the service.

See Also:

• AWS API Documentation

disassociateTrialComponent

default DisassociateTrialComponentResponse disassociateTrialComponent(DisassociateTrialComponentRequest disassociateTrialComponentRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.

To get a list of the trials a component is associated with, use the Search API. Specify ExperimentTrialComponent for the Resource parameter. The list appears in the response under Results.TrialComponent.Parents.

Parameters:

disassociateTrialComponentRequest -

Returns:

Result of the DisassociateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

disassociateTrialComponent

default DisassociateTrialComponentResponse disassociateTrialComponent(Consumer<DisassociateTrialComponentRequest.Builder> disassociateTrialComponentRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.

To get a list of the trials a component is associated with, use the Search API. Specify ExperimentTrialComponent for the Resource parameter. The list appears in the response under Results.TrialComponent.Parents.

This is a convenience which creates an instance of the DisassociateTrialComponentRequest.Builder avoiding the need to create one manually via DisassociateTrialComponentRequest.builder()

Parameters:

disassociateTrialComponentRequest - A Consumer that will call methods on DisassociateTrialComponentRequest.Builder to create a request.

Returns:

Result of the DisassociateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

enableSagemakerServicecatalogPortfolio

default EnableSagemakerServicecatalogPortfolioResponse enableSagemakerServicecatalogPortfolio(EnableSagemakerServicecatalogPortfolioRequest enableSagemakerServicecatalogPortfolioRequest)
                                                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Enables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.

Parameters:

enableSagemakerServicecatalogPortfolioRequest -

Returns:

Result of the EnableSagemakerServicecatalogPortfolio operation returned by the service.

See Also:

• AWS API Documentation

enableSagemakerServicecatalogPortfolio

default EnableSagemakerServicecatalogPortfolioResponse enableSagemakerServicecatalogPortfolio(Consumer<EnableSagemakerServicecatalogPortfolioRequest.Builder> enableSagemakerServicecatalogPortfolioRequest)
                                                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Enables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.

This is a convenience which creates an instance of the EnableSagemakerServicecatalogPortfolioRequest.Builder avoiding the need to create one manually via EnableSagemakerServicecatalogPortfolioRequest.builder()

Parameters:

enableSagemakerServicecatalogPortfolioRequest - A Consumer that will call methods on EnableSagemakerServicecatalogPortfolioRequest.Builder to create a request.

Returns:

Result of the EnableSagemakerServicecatalogPortfolio operation returned by the service.

See Also:

• AWS API Documentation

getDeviceFleetReport

default GetDeviceFleetReportResponse getDeviceFleetReport(GetDeviceFleetReportRequest getDeviceFleetReportRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Describes a fleet.

Parameters:

getDeviceFleetReportRequest -

Returns:

Result of the GetDeviceFleetReport operation returned by the service.

See Also:

• AWS API Documentation

getDeviceFleetReport

default GetDeviceFleetReportResponse getDeviceFleetReport(Consumer<GetDeviceFleetReportRequest.Builder> getDeviceFleetReportRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Describes a fleet.

This is a convenience which creates an instance of the GetDeviceFleetReportRequest.Builder avoiding the need to create one manually via GetDeviceFleetReportRequest.builder()

Parameters:

getDeviceFleetReportRequest - A Consumer that will call methods on GetDeviceFleetReportRequest.Builder to create a request.

Returns:

Result of the GetDeviceFleetReport operation returned by the service.

See Also:

• AWS API Documentation

getLineageGroupPolicy

default GetLineageGroupPolicyResponse getLineageGroupPolicy(GetLineageGroupPolicyRequest getLineageGroupPolicyRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

The resource policy for the lineage group.

Parameters:

getLineageGroupPolicyRequest -

Returns:

Result of the GetLineageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

getLineageGroupPolicy

default GetLineageGroupPolicyResponse getLineageGroupPolicy(Consumer<GetLineageGroupPolicyRequest.Builder> getLineageGroupPolicyRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

The resource policy for the lineage group.

This is a convenience which creates an instance of the GetLineageGroupPolicyRequest.Builder avoiding the need to create one manually via GetLineageGroupPolicyRequest.builder()

Parameters:

getLineageGroupPolicyRequest - A Consumer that will call methods on GetLineageGroupPolicyRequest.Builder to create a request.

Returns:

Result of the GetLineageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

getModelPackageGroupPolicy

default GetModelPackageGroupPolicyResponse getModelPackageGroupPolicy(GetModelPackageGroupPolicyRequest getModelPackageGroupPolicyRequest)
                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..

Parameters:

getModelPackageGroupPolicyRequest -

Returns:

Result of the GetModelPackageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

getModelPackageGroupPolicy

default GetModelPackageGroupPolicyResponse getModelPackageGroupPolicy(Consumer<GetModelPackageGroupPolicyRequest.Builder> getModelPackageGroupPolicyRequest)
                                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..

This is a convenience which creates an instance of the GetModelPackageGroupPolicyRequest.Builder avoiding the need to create one manually via GetModelPackageGroupPolicyRequest.builder()

Parameters:

getModelPackageGroupPolicyRequest - A Consumer that will call methods on GetModelPackageGroupPolicyRequest.Builder to create a request.

Returns:

Result of the GetModelPackageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

getSagemakerServicecatalogPortfolioStatus

default GetSagemakerServicecatalogPortfolioStatusResponse getSagemakerServicecatalogPortfolioStatus(GetSagemakerServicecatalogPortfolioStatusRequest getSagemakerServicecatalogPortfolioStatusRequest)
                                                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Gets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.

Parameters:

getSagemakerServicecatalogPortfolioStatusRequest -

Returns:

Result of the GetSagemakerServicecatalogPortfolioStatus operation returned by the service.

See Also:

• AWS API Documentation

getSagemakerServicecatalogPortfolioStatus

default GetSagemakerServicecatalogPortfolioStatusResponse getSagemakerServicecatalogPortfolioStatus(Consumer<GetSagemakerServicecatalogPortfolioStatusRequest.Builder> getSagemakerServicecatalogPortfolioStatusRequest)
                                                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Gets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.

This is a convenience which creates an instance of the GetSagemakerServicecatalogPortfolioStatusRequest.Builder avoiding the need to create one manually via GetSagemakerServicecatalogPortfolioStatusRequest.builder()

Parameters:

getSagemakerServicecatalogPortfolioStatusRequest - A Consumer that will call methods on GetSagemakerServicecatalogPortfolioStatusRequest.Builder to create a request.

Returns:

Result of the GetSagemakerServicecatalogPortfolioStatus operation returned by the service.

See Also:

• AWS API Documentation

getScalingConfigurationRecommendation

default GetScalingConfigurationRecommendationResponse getScalingConfigurationRecommendation(GetScalingConfigurationRecommendationRequest getScalingConfigurationRecommendationRequest)
                                                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.

Parameters:

getScalingConfigurationRecommendationRequest -

Returns:

Result of the GetScalingConfigurationRecommendation operation returned by the service.

See Also:

• AWS API Documentation

getScalingConfigurationRecommendation

default GetScalingConfigurationRecommendationResponse getScalingConfigurationRecommendation(Consumer<GetScalingConfigurationRecommendationRequest.Builder> getScalingConfigurationRecommendationRequest)
                                                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.

This is a convenience which creates an instance of the GetScalingConfigurationRecommendationRequest.Builder avoiding the need to create one manually via GetScalingConfigurationRecommendationRequest.builder()

Parameters:

getScalingConfigurationRecommendationRequest - A Consumer that will call methods on GetScalingConfigurationRecommendationRequest.Builder to create a request.

Returns:

Result of the GetScalingConfigurationRecommendation operation returned by the service.

See Also:

• AWS API Documentation

getSearchSuggestions

default GetSearchSuggestionsResponse getSearchSuggestions(GetSearchSuggestionsRequest getSearchSuggestionsRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

An auto-complete API for the search functionality in the SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics.

Parameters:

getSearchSuggestionsRequest -

Returns:

Result of the GetSearchSuggestions operation returned by the service.

See Also:

• AWS API Documentation

getSearchSuggestions

default GetSearchSuggestionsResponse getSearchSuggestions(Consumer<GetSearchSuggestionsRequest.Builder> getSearchSuggestionsRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

An auto-complete API for the search functionality in the SageMaker console. It returns suggestions of possible matches 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()

Parameters:

getSearchSuggestionsRequest - A Consumer that will call methods on GetSearchSuggestionsRequest.Builder to create a request.

Returns:

Result of the GetSearchSuggestions operation returned by the service.

See Also:

• AWS API Documentation

importHubContent

default ImportHubContentResponse importHubContent(ImportHubContentRequest importHubContentRequest)
                                           throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Import hub content.

Parameters:

importHubContentRequest -

Returns:

Result of the ImportHubContent operation returned by the service.

See Also:

• AWS API Documentation

importHubContent

default ImportHubContentResponse importHubContent(Consumer<ImportHubContentRequest.Builder> importHubContentRequest)
                                           throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Import hub content.

This is a convenience which creates an instance of the ImportHubContentRequest.Builder avoiding the need to create one manually via ImportHubContentRequest.builder()

Parameters:

importHubContentRequest - A Consumer that will call methods on ImportHubContentRequest.Builder to create a request.

Returns:

Result of the ImportHubContent operation returned by the service.

See Also:

• AWS API Documentation

listActions

default ListActionsResponse listActions(ListActionsRequest listActionsRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the actions in your account and their properties.

Parameters:

listActionsRequest -

Returns:

Result of the ListActions operation returned by the service.

See Also:

• AWS API Documentation

listActions

default ListActionsResponse listActions(Consumer<ListActionsRequest.Builder> listActionsRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the actions in your account and their properties.

This is a convenience which creates an instance of the ListActionsRequest.Builder avoiding the need to create one manually via ListActionsRequest.builder()

Parameters:

listActionsRequest - A Consumer that will call methods on ListActionsRequest.Builder to create a request.

Returns:

Result of the ListActions operation returned by the service.

See Also:

• AWS API Documentation

listActionsPaginator

default ListActionsIterable listActionsPaginator(ListActionsRequest listActionsRequest)
                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listActions(software.amazon.awssdk.services.sagemaker.model.ListActionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListActionsIterable responses = client.listActionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListActionsIterable responses = client.listActionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListActionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListActionsIterable responses = client.listActionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listActions(software.amazon.awssdk.services.sagemaker.model.ListActionsRequest) operation.

Parameters:

listActionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listActionsPaginator

default ListActionsIterable listActionsPaginator(Consumer<ListActionsRequest.Builder> listActionsRequest)
                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listActions(software.amazon.awssdk.services.sagemaker.model.ListActionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListActionsIterable responses = client.listActionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListActionsIterable responses = client.listActionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListActionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListActionsIterable responses = client.listActionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listActions(software.amazon.awssdk.services.sagemaker.model.ListActionsRequest) operation.

This is a convenience which creates an instance of the ListActionsRequest.Builder avoiding the need to create one manually via ListActionsRequest.builder()

Parameters:

listActionsRequest - A Consumer that will call methods on ListActionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAlgorithms

default ListAlgorithmsResponse listAlgorithms(ListAlgorithmsRequest listAlgorithmsRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the machine learning algorithms that have been created.

Parameters:

listAlgorithmsRequest -

Returns:

Result of the ListAlgorithms operation returned by the service.

See Also:

• AWS API Documentation

listAlgorithms

default ListAlgorithmsResponse listAlgorithms(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listAlgorithmsRequest - A Consumer that will call methods on ListAlgorithmsRequest.Builder to create a request.

Returns:

Result of the ListAlgorithms operation returned by the service.

See Also:

• AWS API Documentation

listAlgorithms

default ListAlgorithmsResponse listAlgorithms()
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the machine learning algorithms that have been created.

Returns:

Result of the ListAlgorithms operation returned by the service.

See Also:

• listAlgorithms(ListAlgorithmsRequest)
• AWS API Documentation

listAlgorithmsPaginator

default ListAlgorithmsIterable listAlgorithmsPaginator()
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client.listAlgorithmsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client
             .listAlgorithmsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client.listAlgorithmsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listAlgorithmsPaginator(ListAlgorithmsRequest)
• AWS API Documentation

listAlgorithmsPaginator

default ListAlgorithmsIterable listAlgorithmsPaginator(ListAlgorithmsRequest listAlgorithmsRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client.listAlgorithmsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client
             .listAlgorithmsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client.listAlgorithmsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.

Parameters:

listAlgorithmsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAlgorithmsPaginator

default ListAlgorithmsIterable listAlgorithmsPaginator(Consumer<ListAlgorithmsRequest.Builder> listAlgorithmsRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client.listAlgorithmsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client
             .listAlgorithmsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAlgorithmsIterable responses = client.listAlgorithmsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAlgorithms(software.amazon.awssdk.services.sagemaker.model.ListAlgorithmsRequest) operation.

This is a convenience which creates an instance of the ListAlgorithmsRequest.Builder avoiding the need to create one manually via ListAlgorithmsRequest.builder()

Parameters:

listAlgorithmsRequest - A Consumer that will call methods on ListAlgorithmsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAliases

default ListAliasesResponse listAliases(ListAliasesRequest listAliasesRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the aliases of a specified image or image version.

Parameters:

listAliasesRequest -

Returns:

Result of the ListAliases operation returned by the service.

See Also:

• AWS API Documentation

listAliases

default ListAliasesResponse listAliases(Consumer<ListAliasesRequest.Builder> listAliasesRequest)
                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the aliases of a specified image or image version.

This is a convenience which creates an instance of the ListAliasesRequest.Builder avoiding the need to create one manually via ListAliasesRequest.builder()

Parameters:

listAliasesRequest - A Consumer that will call methods on ListAliasesRequest.Builder to create a request.

Returns:

Result of the ListAliases operation returned by the service.

See Also:

• AWS API Documentation

listAliasesPaginator

default ListAliasesIterable listAliasesPaginator(ListAliasesRequest listAliasesRequest)
                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAliases(software.amazon.awssdk.services.sagemaker.model.ListAliasesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAliasesIterable responses = client.listAliasesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAliasesIterable responses = client.listAliasesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAliasesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAliasesIterable responses = client.listAliasesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAliases(software.amazon.awssdk.services.sagemaker.model.ListAliasesRequest) operation.

Parameters:

listAliasesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAliasesPaginator

default ListAliasesIterable listAliasesPaginator(Consumer<ListAliasesRequest.Builder> listAliasesRequest)
                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAliases(software.amazon.awssdk.services.sagemaker.model.ListAliasesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAliasesIterable responses = client.listAliasesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAliasesIterable responses = client.listAliasesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAliasesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAliasesIterable responses = client.listAliasesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAliases(software.amazon.awssdk.services.sagemaker.model.ListAliasesRequest) operation.

This is a convenience which creates an instance of the ListAliasesRequest.Builder avoiding the need to create one manually via ListAliasesRequest.builder()

Parameters:

listAliasesRequest - A Consumer that will call methods on ListAliasesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAppImageConfigs

default ListAppImageConfigsResponse listAppImageConfigs(ListAppImageConfigsRequest listAppImageConfigsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.

Parameters:

listAppImageConfigsRequest -

Returns:

Result of the ListAppImageConfigs operation returned by the service.

See Also:

• AWS API Documentation

listAppImageConfigs

default ListAppImageConfigsResponse listAppImageConfigs(Consumer<ListAppImageConfigsRequest.Builder> listAppImageConfigsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.

This is a convenience which creates an instance of the ListAppImageConfigsRequest.Builder avoiding the need to create one manually via ListAppImageConfigsRequest.builder()

Parameters:

listAppImageConfigsRequest - A Consumer that will call methods on ListAppImageConfigsRequest.Builder to create a request.

Returns:

Result of the ListAppImageConfigs operation returned by the service.

See Also:

• AWS API Documentation

listAppImageConfigsPaginator

default ListAppImageConfigsIterable listAppImageConfigsPaginator(ListAppImageConfigsRequest listAppImageConfigsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAppImageConfigs(software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppImageConfigsIterable responses = client.listAppImageConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAppImageConfigsIterable responses = client
             .listAppImageConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppImageConfigsIterable responses = client.listAppImageConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAppImageConfigs(software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsRequest) operation.

Parameters:

listAppImageConfigsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAppImageConfigsPaginator

default ListAppImageConfigsIterable listAppImageConfigsPaginator(Consumer<ListAppImageConfigsRequest.Builder> listAppImageConfigsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAppImageConfigs(software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppImageConfigsIterable responses = client.listAppImageConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAppImageConfigsIterable responses = client
             .listAppImageConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppImageConfigsIterable responses = client.listAppImageConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAppImageConfigs(software.amazon.awssdk.services.sagemaker.model.ListAppImageConfigsRequest) operation.

This is a convenience which creates an instance of the ListAppImageConfigsRequest.Builder avoiding the need to create one manually via ListAppImageConfigsRequest.builder()

Parameters:

listAppImageConfigsRequest - A Consumer that will call methods on ListAppImageConfigsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listApps

default ListAppsResponse listApps(ListAppsRequest listAppsRequest)
                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists apps.

Parameters:

listAppsRequest -

Returns:

Result of the ListApps operation returned by the service.

See Also:

• AWS API Documentation

listApps

default ListAppsResponse listApps(Consumer<ListAppsRequest.Builder> listAppsRequest)
                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists apps.

This is a convenience which creates an instance of the ListAppsRequest.Builder avoiding the need to create one manually via ListAppsRequest.builder()

Parameters:

listAppsRequest - A Consumer that will call methods on ListAppsRequest.Builder to create a request.

Returns:

Result of the ListApps operation returned by the service.

See Also:

• AWS API Documentation

listAppsPaginator

default ListAppsIterable listAppsPaginator(ListAppsRequest listAppsRequest)
                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppsIterable responses = client.listAppsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAppsIterable responses = client.listAppsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAppsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppsIterable responses = client.listAppsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation.

Parameters:

listAppsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAppsPaginator

default ListAppsIterable listAppsPaginator(Consumer<ListAppsRequest.Builder> listAppsRequest)
                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppsIterable responses = client.listAppsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAppsIterable responses = client.listAppsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAppsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAppsIterable responses = client.listAppsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listApps(software.amazon.awssdk.services.sagemaker.model.ListAppsRequest) operation.

This is a convenience which creates an instance of the ListAppsRequest.Builder avoiding the need to create one manually via ListAppsRequest.builder()

Parameters:

listAppsRequest - A Consumer that will call methods on ListAppsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listArtifacts

default ListArtifactsResponse listArtifacts(ListArtifactsRequest listArtifactsRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the artifacts in your account and their properties.

Parameters:

listArtifactsRequest -

Returns:

Result of the ListArtifacts operation returned by the service.

See Also:

• AWS API Documentation

listArtifacts

default ListArtifactsResponse listArtifacts(Consumer<ListArtifactsRequest.Builder> listArtifactsRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the artifacts in your account and their properties.

This is a convenience which creates an instance of the ListArtifactsRequest.Builder avoiding the need to create one manually via ListArtifactsRequest.builder()

Parameters:

listArtifactsRequest - A Consumer that will call methods on ListArtifactsRequest.Builder to create a request.

Returns:

Result of the ListArtifacts operation returned by the service.

See Also:

• AWS API Documentation

listArtifactsPaginator

default ListArtifactsIterable listArtifactsPaginator(ListArtifactsRequest listArtifactsRequest)
                                              throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listArtifacts(software.amazon.awssdk.services.sagemaker.model.ListArtifactsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListArtifactsIterable responses = client.listArtifactsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListArtifactsIterable responses = client.listArtifactsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListArtifactsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListArtifactsIterable responses = client.listArtifactsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listArtifacts(software.amazon.awssdk.services.sagemaker.model.ListArtifactsRequest) operation.

Parameters:

listArtifactsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listArtifactsPaginator

default ListArtifactsIterable listArtifactsPaginator(Consumer<ListArtifactsRequest.Builder> listArtifactsRequest)
                                              throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listArtifacts(software.amazon.awssdk.services.sagemaker.model.ListArtifactsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListArtifactsIterable responses = client.listArtifactsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListArtifactsIterable responses = client.listArtifactsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListArtifactsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListArtifactsIterable responses = client.listArtifactsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listArtifacts(software.amazon.awssdk.services.sagemaker.model.ListArtifactsRequest) operation.

This is a convenience which creates an instance of the ListArtifactsRequest.Builder avoiding the need to create one manually via ListArtifactsRequest.builder()

Parameters:

listArtifactsRequest - A Consumer that will call methods on ListArtifactsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAssociations

default ListAssociationsResponse listAssociations(ListAssociationsRequest listAssociationsRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the associations in your account and their properties.

Parameters:

listAssociationsRequest -

Returns:

Result of the ListAssociations operation returned by the service.

See Also:

• AWS API Documentation

listAssociations

default ListAssociationsResponse listAssociations(Consumer<ListAssociationsRequest.Builder> listAssociationsRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the associations in your account and their properties.

This is a convenience which creates an instance of the ListAssociationsRequest.Builder avoiding the need to create one manually via ListAssociationsRequest.builder()

Parameters:

listAssociationsRequest - A Consumer that will call methods on ListAssociationsRequest.Builder to create a request.

Returns:

Result of the ListAssociations operation returned by the service.

See Also:

• AWS API Documentation

listAssociationsPaginator

default ListAssociationsIterable listAssociationsPaginator(ListAssociationsRequest listAssociationsRequest)
                                                    throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAssociations(software.amazon.awssdk.services.sagemaker.model.ListAssociationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAssociationsIterable responses = client.listAssociationsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAssociationsIterable responses = client
             .listAssociationsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAssociationsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAssociationsIterable responses = client.listAssociationsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAssociations(software.amazon.awssdk.services.sagemaker.model.ListAssociationsRequest) operation.

Parameters:

listAssociationsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAssociationsPaginator

default ListAssociationsIterable listAssociationsPaginator(Consumer<ListAssociationsRequest.Builder> listAssociationsRequest)
                                                    throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAssociations(software.amazon.awssdk.services.sagemaker.model.ListAssociationsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAssociationsIterable responses = client.listAssociationsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAssociationsIterable responses = client
             .listAssociationsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAssociationsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAssociationsIterable responses = client.listAssociationsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAssociations(software.amazon.awssdk.services.sagemaker.model.ListAssociationsRequest) operation.

This is a convenience which creates an instance of the ListAssociationsRequest.Builder avoiding the need to create one manually via ListAssociationsRequest.builder()

Parameters:

listAssociationsRequest - A Consumer that will call methods on ListAssociationsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAutoMLJobs

default ListAutoMlJobsResponse listAutoMLJobs(ListAutoMlJobsRequest listAutoMlJobsRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Request a list of jobs.

Parameters:

listAutoMlJobsRequest -

Returns:

Result of the ListAutoMLJobs operation returned by the service.

See Also:

• AWS API Documentation

listAutoMLJobs

default ListAutoMlJobsResponse listAutoMLJobs(Consumer<ListAutoMlJobsRequest.Builder> listAutoMlJobsRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Request a list of jobs.

This is a convenience which creates an instance of the ListAutoMlJobsRequest.Builder avoiding the need to create one manually via ListAutoMlJobsRequest.builder()

Parameters:

listAutoMlJobsRequest - A Consumer that will call methods on ListAutoMlJobsRequest.Builder to create a request.

Returns:

Result of the ListAutoMLJobs operation returned by the service.

See Also:

• AWS API Documentation

listAutoMLJobsPaginator

default ListAutoMLJobsIterable listAutoMLJobsPaginator(ListAutoMlJobsRequest listAutoMlJobsRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsIterable responses = client.listAutoMLJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsIterable responses = client
             .listAutoMLJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsIterable responses = client.listAutoMLJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation.

Parameters:

listAutoMlJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listAutoMLJobsPaginator

default ListAutoMLJobsIterable listAutoMLJobsPaginator(Consumer<ListAutoMlJobsRequest.Builder> listAutoMlJobsRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsIterable responses = client.listAutoMLJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsIterable responses = client
             .listAutoMLJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListAutoMLJobsIterable responses = client.listAutoMLJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listAutoMLJobs(software.amazon.awssdk.services.sagemaker.model.ListAutoMlJobsRequest) operation.

This is a convenience which creates an instance of the ListAutoMlJobsRequest.Builder avoiding the need to create one manually via ListAutoMlJobsRequest.builder()

Parameters:

listAutoMlJobsRequest - A Consumer that will call methods on ListAutoMlJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCandidatesForAutoMLJob

default ListCandidatesForAutoMlJobResponse listCandidatesForAutoMLJob(ListCandidatesForAutoMlJobRequest listCandidatesForAutoMlJobRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List the candidates created for the job.

Parameters:

listCandidatesForAutoMlJobRequest -

Returns:

Result of the ListCandidatesForAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

listCandidatesForAutoMLJob

default ListCandidatesForAutoMlJobResponse listCandidatesForAutoMLJob(Consumer<ListCandidatesForAutoMlJobRequest.Builder> listCandidatesForAutoMlJobRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List the candidates created for the job.

This is a convenience which creates an instance of the ListCandidatesForAutoMlJobRequest.Builder avoiding the need to create one manually via ListCandidatesForAutoMlJobRequest.builder()

Parameters:

listCandidatesForAutoMlJobRequest - A Consumer that will call methods on ListCandidatesForAutoMlJobRequest.Builder to create a request.

Returns:

Result of the ListCandidatesForAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

listCandidatesForAutoMLJobPaginator

default ListCandidatesForAutoMLJobIterable listCandidatesForAutoMLJobPaginator(ListCandidatesForAutoMlJobRequest listCandidatesForAutoMlJobRequest)
                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobIterable responses = client.listCandidatesForAutoMLJobPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobIterable responses = client
             .listCandidatesForAutoMLJobPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobIterable responses = client.listCandidatesForAutoMLJobPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest) operation.

Parameters:

listCandidatesForAutoMlJobRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCandidatesForAutoMLJobPaginator

default ListCandidatesForAutoMLJobIterable listCandidatesForAutoMLJobPaginator(Consumer<ListCandidatesForAutoMlJobRequest.Builder> listCandidatesForAutoMlJobRequest)
                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobIterable responses = client.listCandidatesForAutoMLJobPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobIterable responses = client
             .listCandidatesForAutoMLJobPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCandidatesForAutoMLJobIterable responses = client.listCandidatesForAutoMLJobPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCandidatesForAutoMLJob(software.amazon.awssdk.services.sagemaker.model.ListCandidatesForAutoMlJobRequest) operation.

This is a convenience which creates an instance of the ListCandidatesForAutoMlJobRequest.Builder avoiding the need to create one manually via ListCandidatesForAutoMlJobRequest.builder()

Parameters:

listCandidatesForAutoMlJobRequest - A Consumer that will call methods on ListCandidatesForAutoMlJobRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusterEvents

default ListClusterEventsResponse listClusterEvents(ListClusterEventsRequest listClusterEventsRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves a list of event summaries for a specified HyperPod cluster. The operation supports filtering, sorting, and pagination of results. This functionality is only supported when the NodeProvisioningMode is set to Continuous.

Parameters:

listClusterEventsRequest -

Returns:

Result of the ListClusterEvents operation returned by the service.

See Also:

• AWS API Documentation

listClusterEvents

default ListClusterEventsResponse listClusterEvents(Consumer<ListClusterEventsRequest.Builder> listClusterEventsRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves a list of event summaries for a specified HyperPod cluster. The operation supports filtering, sorting, and pagination of results. This functionality is only supported when the NodeProvisioningMode is set to Continuous.

This is a convenience which creates an instance of the ListClusterEventsRequest.Builder avoiding the need to create one manually via ListClusterEventsRequest.builder()

Parameters:

listClusterEventsRequest - A Consumer that will call methods on ListClusterEventsRequest.Builder to create a request.

Returns:

Result of the ListClusterEvents operation returned by the service.

See Also:

• AWS API Documentation

listClusterEventsPaginator

default ListClusterEventsIterable listClusterEventsPaginator(ListClusterEventsRequest listClusterEventsRequest)
                                                      throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusterEvents(software.amazon.awssdk.services.sagemaker.model.ListClusterEventsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterEventsIterable responses = client.listClusterEventsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClusterEventsIterable responses = client
             .listClusterEventsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClusterEventsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterEventsIterable responses = client.listClusterEventsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusterEvents(software.amazon.awssdk.services.sagemaker.model.ListClusterEventsRequest) operation.

Parameters:

listClusterEventsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusterEventsPaginator

default ListClusterEventsIterable listClusterEventsPaginator(Consumer<ListClusterEventsRequest.Builder> listClusterEventsRequest)
                                                      throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusterEvents(software.amazon.awssdk.services.sagemaker.model.ListClusterEventsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterEventsIterable responses = client.listClusterEventsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClusterEventsIterable responses = client
             .listClusterEventsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClusterEventsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterEventsIterable responses = client.listClusterEventsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusterEvents(software.amazon.awssdk.services.sagemaker.model.ListClusterEventsRequest) operation.

This is a convenience which creates an instance of the ListClusterEventsRequest.Builder avoiding the need to create one manually via ListClusterEventsRequest.builder()

Parameters:

listClusterEventsRequest - A Consumer that will call methods on ListClusterEventsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusterNodes

default ListClusterNodesResponse listClusterNodes(ListClusterNodesRequest listClusterNodesRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.

Parameters:

listClusterNodesRequest -

Returns:

Result of the ListClusterNodes operation returned by the service.

See Also:

• AWS API Documentation

listClusterNodes

default ListClusterNodesResponse listClusterNodes(Consumer<ListClusterNodesRequest.Builder> listClusterNodesRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.

This is a convenience which creates an instance of the ListClusterNodesRequest.Builder avoiding the need to create one manually via ListClusterNodesRequest.builder()

Parameters:

listClusterNodesRequest - A Consumer that will call methods on ListClusterNodesRequest.Builder to create a request.

Returns:

Result of the ListClusterNodes operation returned by the service.

See Also:

• AWS API Documentation

listClusterNodesPaginator

default ListClusterNodesIterable listClusterNodesPaginator(ListClusterNodesRequest listClusterNodesRequest)
                                                    throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusterNodes(software.amazon.awssdk.services.sagemaker.model.ListClusterNodesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterNodesIterable responses = client.listClusterNodesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClusterNodesIterable responses = client
             .listClusterNodesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClusterNodesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterNodesIterable responses = client.listClusterNodesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusterNodes(software.amazon.awssdk.services.sagemaker.model.ListClusterNodesRequest) operation.

Parameters:

listClusterNodesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusterNodesPaginator

default ListClusterNodesIterable listClusterNodesPaginator(Consumer<ListClusterNodesRequest.Builder> listClusterNodesRequest)
                                                    throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusterNodes(software.amazon.awssdk.services.sagemaker.model.ListClusterNodesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterNodesIterable responses = client.listClusterNodesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClusterNodesIterable responses = client
             .listClusterNodesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClusterNodesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterNodesIterable responses = client.listClusterNodesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusterNodes(software.amazon.awssdk.services.sagemaker.model.ListClusterNodesRequest) operation.

This is a convenience which creates an instance of the ListClusterNodesRequest.Builder avoiding the need to create one manually via ListClusterNodesRequest.builder()

Parameters:

listClusterNodesRequest - A Consumer that will call methods on ListClusterNodesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusterSchedulerConfigs

default ListClusterSchedulerConfigsResponse listClusterSchedulerConfigs(ListClusterSchedulerConfigsRequest listClusterSchedulerConfigsRequest)
                                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

List the cluster policy configurations.

Parameters:

listClusterSchedulerConfigsRequest -

Returns:

Result of the ListClusterSchedulerConfigs operation returned by the service.

See Also:

• AWS API Documentation

listClusterSchedulerConfigs

default ListClusterSchedulerConfigsResponse listClusterSchedulerConfigs(Consumer<ListClusterSchedulerConfigsRequest.Builder> listClusterSchedulerConfigsRequest)
                                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

List the cluster policy configurations.

This is a convenience which creates an instance of the ListClusterSchedulerConfigsRequest.Builder avoiding the need to create one manually via ListClusterSchedulerConfigsRequest.builder()

Parameters:

listClusterSchedulerConfigsRequest - A Consumer that will call methods on ListClusterSchedulerConfigsRequest.Builder to create a request.

Returns:

Result of the ListClusterSchedulerConfigs operation returned by the service.

See Also:

• AWS API Documentation

listClusterSchedulerConfigsPaginator

default ListClusterSchedulerConfigsIterable listClusterSchedulerConfigsPaginator(ListClusterSchedulerConfigsRequest listClusterSchedulerConfigsRequest)
                                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusterSchedulerConfigs(software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterSchedulerConfigsIterable responses = client.listClusterSchedulerConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClusterSchedulerConfigsIterable responses = client
             .listClusterSchedulerConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterSchedulerConfigsIterable responses = client.listClusterSchedulerConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusterSchedulerConfigs(software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsRequest) operation.

Parameters:

listClusterSchedulerConfigsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusterSchedulerConfigsPaginator

default ListClusterSchedulerConfigsIterable listClusterSchedulerConfigsPaginator(Consumer<ListClusterSchedulerConfigsRequest.Builder> listClusterSchedulerConfigsRequest)
                                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusterSchedulerConfigs(software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterSchedulerConfigsIterable responses = client.listClusterSchedulerConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClusterSchedulerConfigsIterable responses = client
             .listClusterSchedulerConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClusterSchedulerConfigsIterable responses = client.listClusterSchedulerConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusterSchedulerConfigs(software.amazon.awssdk.services.sagemaker.model.ListClusterSchedulerConfigsRequest) operation.

This is a convenience which creates an instance of the ListClusterSchedulerConfigsRequest.Builder avoiding the need to create one manually via ListClusterSchedulerConfigsRequest.builder()

Parameters:

listClusterSchedulerConfigsRequest - A Consumer that will call methods on ListClusterSchedulerConfigsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClusters

default ListClustersResponse listClusters(ListClustersRequest listClustersRequest)
                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Retrieves the list of SageMaker HyperPod clusters.

Parameters:

listClustersRequest -

Returns:

Result of the ListClusters operation returned by the service.

See Also:

• AWS API Documentation

listClusters

default ListClustersResponse listClusters(Consumer<ListClustersRequest.Builder> listClustersRequest)
                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Retrieves the list of SageMaker HyperPod clusters.

This is a convenience which creates an instance of the ListClustersRequest.Builder avoiding the need to create one manually via ListClustersRequest.builder()

Parameters:

listClustersRequest - A Consumer that will call methods on ListClustersRequest.Builder to create a request.

Returns:

Result of the ListClusters operation returned by the service.

See Also:

• AWS API Documentation

listClustersPaginator

default ListClustersIterable listClustersPaginator(ListClustersRequest listClustersRequest)
                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusters(software.amazon.awssdk.services.sagemaker.model.ListClustersRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClustersIterable responses = client.listClustersPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClustersIterable responses = client.listClustersPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClustersResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClustersIterable responses = client.listClustersPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusters(software.amazon.awssdk.services.sagemaker.model.ListClustersRequest) operation.

Parameters:

listClustersRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listClustersPaginator

default ListClustersIterable listClustersPaginator(Consumer<ListClustersRequest.Builder> listClustersRequest)
                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listClusters(software.amazon.awssdk.services.sagemaker.model.ListClustersRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClustersIterable responses = client.listClustersPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListClustersIterable responses = client.listClustersPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListClustersResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListClustersIterable responses = client.listClustersPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listClusters(software.amazon.awssdk.services.sagemaker.model.ListClustersRequest) operation.

This is a convenience which creates an instance of the ListClustersRequest.Builder avoiding the need to create one manually via ListClustersRequest.builder()

Parameters:

listClustersRequest - A Consumer that will call methods on ListClustersRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCodeRepositories

default ListCodeRepositoriesResponse listCodeRepositories(ListCodeRepositoriesRequest listCodeRepositoriesRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the Git repositories in your account.

Parameters:

listCodeRepositoriesRequest -

Returns:

Result of the ListCodeRepositories operation returned by the service.

See Also:

• AWS API Documentation

listCodeRepositories

default ListCodeRepositoriesResponse listCodeRepositories(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listCodeRepositoriesRequest - A Consumer that will call methods on ListCodeRepositoriesRequest.Builder to create a request.

Returns:

Result of the ListCodeRepositories operation returned by the service.

See Also:

• AWS API Documentation

listCodeRepositories

default ListCodeRepositoriesResponse listCodeRepositories()
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the Git repositories in your account.

Returns:

Result of the ListCodeRepositories operation returned by the service.

See Also:

• listCodeRepositories(ListCodeRepositoriesRequest)
• AWS API Documentation

listCodeRepositoriesPaginator

default ListCodeRepositoriesIterable listCodeRepositoriesPaginator()
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client.listCodeRepositoriesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client
             .listCodeRepositoriesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client.listCodeRepositoriesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listCodeRepositoriesPaginator(ListCodeRepositoriesRequest)
• AWS API Documentation

listCodeRepositoriesPaginator

default ListCodeRepositoriesIterable listCodeRepositoriesPaginator(ListCodeRepositoriesRequest listCodeRepositoriesRequest)
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client.listCodeRepositoriesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client
             .listCodeRepositoriesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client.listCodeRepositoriesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation.

Parameters:

listCodeRepositoriesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCodeRepositoriesPaginator

default ListCodeRepositoriesIterable listCodeRepositoriesPaginator(Consumer<ListCodeRepositoriesRequest.Builder> listCodeRepositoriesRequest)
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client.listCodeRepositoriesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client
             .listCodeRepositoriesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCodeRepositoriesIterable responses = client.listCodeRepositoriesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCodeRepositories(software.amazon.awssdk.services.sagemaker.model.ListCodeRepositoriesRequest) operation.

This is a convenience which creates an instance of the ListCodeRepositoriesRequest.Builder avoiding the need to create one manually via ListCodeRepositoriesRequest.builder()

Parameters:

listCodeRepositoriesRequest - A Consumer that will call methods on ListCodeRepositoriesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCompilationJobs

default ListCompilationJobsResponse listCompilationJobs(ListCompilationJobsRequest listCompilationJobsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

listCompilationJobsRequest -

Returns:

Result of the ListCompilationJobs operation returned by the service.

See Also:

• AWS API Documentation

listCompilationJobs

default ListCompilationJobsResponse listCompilationJobs(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listCompilationJobsRequest - A Consumer that will call methods on ListCompilationJobsRequest.Builder to create a request.

Returns:

Result of the ListCompilationJobs operation returned by the service.

See Also:

• AWS API Documentation

listCompilationJobs

default ListCompilationJobsResponse listCompilationJobs()
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

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.

Returns:

Result of the ListCompilationJobs operation returned by the service.

See Also:

• listCompilationJobs(ListCompilationJobsRequest)
• AWS API Documentation

listCompilationJobsPaginator

default ListCompilationJobsIterable listCompilationJobsPaginator()
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client.listCompilationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client
             .listCompilationJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client.listCompilationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listCompilationJobsPaginator(ListCompilationJobsRequest)
• AWS API Documentation

listCompilationJobsPaginator

default ListCompilationJobsIterable listCompilationJobsPaginator(ListCompilationJobsRequest listCompilationJobsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client.listCompilationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client
             .listCompilationJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client.listCompilationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation.

Parameters:

listCompilationJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listCompilationJobsPaginator

default ListCompilationJobsIterable listCompilationJobsPaginator(Consumer<ListCompilationJobsRequest.Builder> listCompilationJobsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listCompilationJobs(software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client.listCompilationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client
             .listCompilationJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListCompilationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListCompilationJobsIterable responses = client.listCompilationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listCompilationJobsRequest - A Consumer that will call methods on ListCompilationJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listComputeQuotas

default ListComputeQuotasResponse listComputeQuotas(ListComputeQuotasRequest listComputeQuotasRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

List the resource allocation definitions.

Parameters:

listComputeQuotasRequest -

Returns:

Result of the ListComputeQuotas operation returned by the service.

See Also:

• AWS API Documentation

listComputeQuotas

default ListComputeQuotasResponse listComputeQuotas(Consumer<ListComputeQuotasRequest.Builder> listComputeQuotasRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

List the resource allocation definitions.

This is a convenience which creates an instance of the ListComputeQuotasRequest.Builder avoiding the need to create one manually via ListComputeQuotasRequest.builder()

Parameters:

listComputeQuotasRequest - A Consumer that will call methods on ListComputeQuotasRequest.Builder to create a request.

Returns:

Result of the ListComputeQuotas operation returned by the service.

See Also:

• AWS API Documentation

listComputeQuotasPaginator

default ListComputeQuotasIterable listComputeQuotasPaginator(ListComputeQuotasRequest listComputeQuotasRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listComputeQuotas(software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListComputeQuotasIterable responses = client.listComputeQuotasPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListComputeQuotasIterable responses = client
             .listComputeQuotasPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListComputeQuotasIterable responses = client.listComputeQuotasPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listComputeQuotas(software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasRequest) operation.

Parameters:

listComputeQuotasRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listComputeQuotasPaginator

default ListComputeQuotasIterable listComputeQuotasPaginator(Consumer<ListComputeQuotasRequest.Builder> listComputeQuotasRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listComputeQuotas(software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListComputeQuotasIterable responses = client.listComputeQuotasPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListComputeQuotasIterable responses = client
             .listComputeQuotasPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListComputeQuotasIterable responses = client.listComputeQuotasPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listComputeQuotas(software.amazon.awssdk.services.sagemaker.model.ListComputeQuotasRequest) operation.

This is a convenience which creates an instance of the ListComputeQuotasRequest.Builder avoiding the need to create one manually via ListComputeQuotasRequest.builder()

Parameters:

listComputeQuotasRequest - A Consumer that will call methods on ListComputeQuotasRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listContexts

default ListContextsResponse listContexts(ListContextsRequest listContextsRequest)
                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the contexts in your account and their properties.

Parameters:

listContextsRequest -

Returns:

Result of the ListContexts operation returned by the service.

See Also:

• AWS API Documentation

listContexts

default ListContextsResponse listContexts(Consumer<ListContextsRequest.Builder> listContextsRequest)
                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the contexts in your account and their properties.

This is a convenience which creates an instance of the ListContextsRequest.Builder avoiding the need to create one manually via ListContextsRequest.builder()

Parameters:

listContextsRequest - A Consumer that will call methods on ListContextsRequest.Builder to create a request.

Returns:

Result of the ListContexts operation returned by the service.

See Also:

• AWS API Documentation

listContextsPaginator

default ListContextsIterable listContextsPaginator(ListContextsRequest listContextsRequest)
                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listContexts(software.amazon.awssdk.services.sagemaker.model.ListContextsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListContextsIterable responses = client.listContextsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListContextsIterable responses = client.listContextsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListContextsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListContextsIterable responses = client.listContextsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listContexts(software.amazon.awssdk.services.sagemaker.model.ListContextsRequest) operation.

Parameters:

listContextsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listContextsPaginator

default ListContextsIterable listContextsPaginator(Consumer<ListContextsRequest.Builder> listContextsRequest)
                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listContexts(software.amazon.awssdk.services.sagemaker.model.ListContextsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListContextsIterable responses = client.listContextsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListContextsIterable responses = client.listContextsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListContextsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListContextsIterable responses = client.listContextsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listContexts(software.amazon.awssdk.services.sagemaker.model.ListContextsRequest) operation.

This is a convenience which creates an instance of the ListContextsRequest.Builder avoiding the need to create one manually via ListContextsRequest.builder()

Parameters:

listContextsRequest - A Consumer that will call methods on ListContextsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDataQualityJobDefinitions

default ListDataQualityJobDefinitionsResponse listDataQualityJobDefinitions(ListDataQualityJobDefinitionsRequest listDataQualityJobDefinitionsRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the data quality job definitions in your account.

Parameters:

listDataQualityJobDefinitionsRequest -

Returns:

Result of the ListDataQualityJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listDataQualityJobDefinitions

default ListDataQualityJobDefinitionsResponse listDataQualityJobDefinitions(Consumer<ListDataQualityJobDefinitionsRequest.Builder> listDataQualityJobDefinitionsRequest)
                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the data quality job definitions in your account.

This is a convenience which creates an instance of the ListDataQualityJobDefinitionsRequest.Builder avoiding the need to create one manually via ListDataQualityJobDefinitionsRequest.builder()

Parameters:

listDataQualityJobDefinitionsRequest - A Consumer that will call methods on ListDataQualityJobDefinitionsRequest.Builder to create a request.

Returns:

Result of the ListDataQualityJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listDataQualityJobDefinitionsPaginator

default ListDataQualityJobDefinitionsIterable listDataQualityJobDefinitionsPaginator(ListDataQualityJobDefinitionsRequest listDataQualityJobDefinitionsRequest)
                                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDataQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDataQualityJobDefinitionsIterable responses = client.listDataQualityJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDataQualityJobDefinitionsIterable responses = client
             .listDataQualityJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDataQualityJobDefinitionsIterable responses = client.listDataQualityJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDataQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsRequest) operation.

Parameters:

listDataQualityJobDefinitionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDataQualityJobDefinitionsPaginator

default ListDataQualityJobDefinitionsIterable listDataQualityJobDefinitionsPaginator(Consumer<ListDataQualityJobDefinitionsRequest.Builder> listDataQualityJobDefinitionsRequest)
                                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDataQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDataQualityJobDefinitionsIterable responses = client.listDataQualityJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDataQualityJobDefinitionsIterable responses = client
             .listDataQualityJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDataQualityJobDefinitionsIterable responses = client.listDataQualityJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDataQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListDataQualityJobDefinitionsRequest) operation.

This is a convenience which creates an instance of the ListDataQualityJobDefinitionsRequest.Builder avoiding the need to create one manually via ListDataQualityJobDefinitionsRequest.builder()

Parameters:

listDataQualityJobDefinitionsRequest - A Consumer that will call methods on ListDataQualityJobDefinitionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDeviceFleets

default ListDeviceFleetsResponse listDeviceFleets(ListDeviceFleetsRequest listDeviceFleetsRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of devices in the fleet.

Parameters:

listDeviceFleetsRequest -

Returns:

Result of the ListDeviceFleets operation returned by the service.

See Also:

• AWS API Documentation

listDeviceFleets

default ListDeviceFleetsResponse listDeviceFleets(Consumer<ListDeviceFleetsRequest.Builder> listDeviceFleetsRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of devices in the fleet.

This is a convenience which creates an instance of the ListDeviceFleetsRequest.Builder avoiding the need to create one manually via ListDeviceFleetsRequest.builder()

Parameters:

listDeviceFleetsRequest - A Consumer that will call methods on ListDeviceFleetsRequest.Builder to create a request.

Returns:

Result of the ListDeviceFleets operation returned by the service.

See Also:

• AWS API Documentation

listDeviceFleetsPaginator

default ListDeviceFleetsIterable listDeviceFleetsPaginator(ListDeviceFleetsRequest listDeviceFleetsRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDeviceFleets(software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDeviceFleetsIterable responses = client.listDeviceFleetsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDeviceFleetsIterable responses = client
             .listDeviceFleetsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDeviceFleetsIterable responses = client.listDeviceFleetsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDeviceFleets(software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsRequest) operation.

Parameters:

listDeviceFleetsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDeviceFleetsPaginator

default ListDeviceFleetsIterable listDeviceFleetsPaginator(Consumer<ListDeviceFleetsRequest.Builder> listDeviceFleetsRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDeviceFleets(software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDeviceFleetsIterable responses = client.listDeviceFleetsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDeviceFleetsIterable responses = client
             .listDeviceFleetsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDeviceFleetsIterable responses = client.listDeviceFleetsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDeviceFleets(software.amazon.awssdk.services.sagemaker.model.ListDeviceFleetsRequest) operation.

This is a convenience which creates an instance of the ListDeviceFleetsRequest.Builder avoiding the need to create one manually via ListDeviceFleetsRequest.builder()

Parameters:

listDeviceFleetsRequest - A Consumer that will call methods on ListDeviceFleetsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDevices

default ListDevicesResponse listDevices(ListDevicesRequest listDevicesRequest)
                                 throws AwsServiceException,
SdkClientException,
SageMakerException

A list of devices.

Parameters:

listDevicesRequest -

Returns:

Result of the ListDevices operation returned by the service.

See Also:

• AWS API Documentation

listDevices

default ListDevicesResponse listDevices(Consumer<ListDevicesRequest.Builder> listDevicesRequest)
                                 throws AwsServiceException,
SdkClientException,
SageMakerException

A list of devices.

This is a convenience which creates an instance of the ListDevicesRequest.Builder avoiding the need to create one manually via ListDevicesRequest.builder()

Parameters:

listDevicesRequest - A Consumer that will call methods on ListDevicesRequest.Builder to create a request.

Returns:

Result of the ListDevices operation returned by the service.

See Also:

• AWS API Documentation

listDevicesPaginator

default ListDevicesIterable listDevicesPaginator(ListDevicesRequest listDevicesRequest)
                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDevices(software.amazon.awssdk.services.sagemaker.model.ListDevicesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDevicesIterable responses = client.listDevicesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDevicesIterable responses = client.listDevicesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDevicesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDevicesIterable responses = client.listDevicesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDevices(software.amazon.awssdk.services.sagemaker.model.ListDevicesRequest) operation.

Parameters:

listDevicesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDevicesPaginator

default ListDevicesIterable listDevicesPaginator(Consumer<ListDevicesRequest.Builder> listDevicesRequest)
                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDevices(software.amazon.awssdk.services.sagemaker.model.ListDevicesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDevicesIterable responses = client.listDevicesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDevicesIterable responses = client.listDevicesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDevicesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDevicesIterable responses = client.listDevicesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDevices(software.amazon.awssdk.services.sagemaker.model.ListDevicesRequest) operation.

This is a convenience which creates an instance of the ListDevicesRequest.Builder avoiding the need to create one manually via ListDevicesRequest.builder()

Parameters:

listDevicesRequest - A Consumer that will call methods on ListDevicesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDomains

default ListDomainsResponse listDomains(ListDomainsRequest listDomainsRequest)
                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the domains.

Parameters:

listDomainsRequest -

Returns:

Result of the ListDomains operation returned by the service.

See Also:

• AWS API Documentation

listDomains

default ListDomainsResponse listDomains(Consumer<ListDomainsRequest.Builder> listDomainsRequest)
                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the domains.

This is a convenience which creates an instance of the ListDomainsRequest.Builder avoiding the need to create one manually via ListDomainsRequest.builder()

Parameters:

listDomainsRequest - A Consumer that will call methods on ListDomainsRequest.Builder to create a request.

Returns:

Result of the ListDomains operation returned by the service.

See Also:

• AWS API Documentation

listDomainsPaginator

default ListDomainsIterable listDomainsPaginator(ListDomainsRequest listDomainsRequest)
                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDomainsIterable responses = client.listDomainsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDomainsIterable responses = client.listDomainsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDomainsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDomainsIterable responses = client.listDomainsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation.

Parameters:

listDomainsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listDomainsPaginator

default ListDomainsIterable listDomainsPaginator(Consumer<ListDomainsRequest.Builder> listDomainsRequest)
                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDomainsIterable responses = client.listDomainsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListDomainsIterable responses = client.listDomainsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListDomainsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListDomainsIterable responses = client.listDomainsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listDomains(software.amazon.awssdk.services.sagemaker.model.ListDomainsRequest) operation.

This is a convenience which creates an instance of the ListDomainsRequest.Builder avoiding the need to create one manually via ListDomainsRequest.builder()

Parameters:

listDomainsRequest - A Consumer that will call methods on ListDomainsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEdgeDeploymentPlans

default ListEdgeDeploymentPlansResponse listEdgeDeploymentPlans(ListEdgeDeploymentPlansRequest listEdgeDeploymentPlansRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all edge deployment plans.

Parameters:

listEdgeDeploymentPlansRequest -

Returns:

Result of the ListEdgeDeploymentPlans operation returned by the service.

See Also:

• AWS API Documentation

listEdgeDeploymentPlans

default ListEdgeDeploymentPlansResponse listEdgeDeploymentPlans(Consumer<ListEdgeDeploymentPlansRequest.Builder> listEdgeDeploymentPlansRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all edge deployment plans.

This is a convenience which creates an instance of the ListEdgeDeploymentPlansRequest.Builder avoiding the need to create one manually via ListEdgeDeploymentPlansRequest.builder()

Parameters:

listEdgeDeploymentPlansRequest - A Consumer that will call methods on ListEdgeDeploymentPlansRequest.Builder to create a request.

Returns:

Result of the ListEdgeDeploymentPlans operation returned by the service.

See Also:

• AWS API Documentation

listEdgeDeploymentPlansPaginator

default ListEdgeDeploymentPlansIterable listEdgeDeploymentPlansPaginator(ListEdgeDeploymentPlansRequest listEdgeDeploymentPlansRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEdgeDeploymentPlans(software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgeDeploymentPlansIterable responses = client.listEdgeDeploymentPlansPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEdgeDeploymentPlansIterable responses = client
             .listEdgeDeploymentPlansPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgeDeploymentPlansIterable responses = client.listEdgeDeploymentPlansPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEdgeDeploymentPlans(software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansRequest) operation.

Parameters:

listEdgeDeploymentPlansRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEdgeDeploymentPlansPaginator

default ListEdgeDeploymentPlansIterable listEdgeDeploymentPlansPaginator(Consumer<ListEdgeDeploymentPlansRequest.Builder> listEdgeDeploymentPlansRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEdgeDeploymentPlans(software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgeDeploymentPlansIterable responses = client.listEdgeDeploymentPlansPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEdgeDeploymentPlansIterable responses = client
             .listEdgeDeploymentPlansPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgeDeploymentPlansIterable responses = client.listEdgeDeploymentPlansPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEdgeDeploymentPlans(software.amazon.awssdk.services.sagemaker.model.ListEdgeDeploymentPlansRequest) operation.

This is a convenience which creates an instance of the ListEdgeDeploymentPlansRequest.Builder avoiding the need to create one manually via ListEdgeDeploymentPlansRequest.builder()

Parameters:

listEdgeDeploymentPlansRequest - A Consumer that will call methods on ListEdgeDeploymentPlansRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEdgePackagingJobs

default ListEdgePackagingJobsResponse listEdgePackagingJobs(ListEdgePackagingJobsRequest listEdgePackagingJobsRequest)
                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of edge packaging jobs.

Parameters:

listEdgePackagingJobsRequest -

Returns:

Result of the ListEdgePackagingJobs operation returned by the service.

See Also:

• AWS API Documentation

listEdgePackagingJobs

default ListEdgePackagingJobsResponse listEdgePackagingJobs(Consumer<ListEdgePackagingJobsRequest.Builder> listEdgePackagingJobsRequest)
                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of edge packaging jobs.

This is a convenience which creates an instance of the ListEdgePackagingJobsRequest.Builder avoiding the need to create one manually via ListEdgePackagingJobsRequest.builder()

Parameters:

listEdgePackagingJobsRequest - A Consumer that will call methods on ListEdgePackagingJobsRequest.Builder to create a request.

Returns:

Result of the ListEdgePackagingJobs operation returned by the service.

See Also:

• AWS API Documentation

listEdgePackagingJobsPaginator

default ListEdgePackagingJobsIterable listEdgePackagingJobsPaginator(ListEdgePackagingJobsRequest listEdgePackagingJobsRequest)
                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEdgePackagingJobs(software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgePackagingJobsIterable responses = client.listEdgePackagingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEdgePackagingJobsIterable responses = client
             .listEdgePackagingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgePackagingJobsIterable responses = client.listEdgePackagingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEdgePackagingJobs(software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsRequest) operation.

Parameters:

listEdgePackagingJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEdgePackagingJobsPaginator

default ListEdgePackagingJobsIterable listEdgePackagingJobsPaginator(Consumer<ListEdgePackagingJobsRequest.Builder> listEdgePackagingJobsRequest)
                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEdgePackagingJobs(software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgePackagingJobsIterable responses = client.listEdgePackagingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEdgePackagingJobsIterable responses = client
             .listEdgePackagingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEdgePackagingJobsIterable responses = client.listEdgePackagingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEdgePackagingJobs(software.amazon.awssdk.services.sagemaker.model.ListEdgePackagingJobsRequest) operation.

This is a convenience which creates an instance of the ListEdgePackagingJobsRequest.Builder avoiding the need to create one manually via ListEdgePackagingJobsRequest.builder()

Parameters:

listEdgePackagingJobsRequest - A Consumer that will call methods on ListEdgePackagingJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEndpointConfigs

default ListEndpointConfigsResponse listEndpointConfigs(ListEndpointConfigsRequest listEndpointConfigsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists endpoint configurations.

Parameters:

listEndpointConfigsRequest -

Returns:

Result of the ListEndpointConfigs operation returned by the service.

See Also:

• AWS API Documentation

listEndpointConfigs

default ListEndpointConfigsResponse listEndpointConfigs(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listEndpointConfigsRequest - A Consumer that will call methods on ListEndpointConfigsRequest.Builder to create a request.

Returns:

Result of the ListEndpointConfigs operation returned by the service.

See Also:

• AWS API Documentation

listEndpointConfigs

default ListEndpointConfigsResponse listEndpointConfigs()
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists endpoint configurations.

Returns:

Result of the ListEndpointConfigs operation returned by the service.

See Also:

• listEndpointConfigs(ListEndpointConfigsRequest)
• AWS API Documentation

listEndpointConfigsPaginator

default ListEndpointConfigsIterable listEndpointConfigsPaginator()
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client.listEndpointConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client
             .listEndpointConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client.listEndpointConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listEndpointConfigsPaginator(ListEndpointConfigsRequest)
• AWS API Documentation

listEndpointConfigsPaginator

default ListEndpointConfigsIterable listEndpointConfigsPaginator(ListEndpointConfigsRequest listEndpointConfigsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client.listEndpointConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client
             .listEndpointConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client.listEndpointConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation.

Parameters:

listEndpointConfigsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEndpointConfigsPaginator

default ListEndpointConfigsIterable listEndpointConfigsPaginator(Consumer<ListEndpointConfigsRequest.Builder> listEndpointConfigsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEndpointConfigs(software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client.listEndpointConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client
             .listEndpointConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEndpointConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointConfigsIterable responses = client.listEndpointConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listEndpointConfigsRequest - A Consumer that will call methods on ListEndpointConfigsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEndpoints

default ListEndpointsResponse listEndpoints(ListEndpointsRequest listEndpointsRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists endpoints.

Parameters:

listEndpointsRequest -

Returns:

Result of the ListEndpoints operation returned by the service.

See Also:

• AWS API Documentation

listEndpoints

default ListEndpointsResponse listEndpoints(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists endpoints.

This is a convenience which creates an instance of the ListEndpointsRequest.Builder avoiding the need to create one manually via ListEndpointsRequest.builder()

Parameters:

listEndpointsRequest - A Consumer that will call methods on ListEndpointsRequest.Builder to create a request.

Returns:

Result of the ListEndpoints operation returned by the service.

See Also:

• AWS API Documentation

listEndpoints

default ListEndpointsResponse listEndpoints()
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists endpoints.

Returns:

Result of the ListEndpoints operation returned by the service.

See Also:

• listEndpoints(ListEndpointsRequest)
• AWS API Documentation

listEndpointsPaginator

default ListEndpointsIterable listEndpointsPaginator()
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listEndpointsPaginator(ListEndpointsRequest)
• AWS API Documentation

listEndpointsPaginator

default ListEndpointsIterable listEndpointsPaginator(ListEndpointsRequest listEndpointsRequest)
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation.

Parameters:

listEndpointsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listEndpointsPaginator

default ListEndpointsIterable listEndpointsPaginator(Consumer<ListEndpointsRequest.Builder> listEndpointsRequest)
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listEndpoints(software.amazon.awssdk.services.sagemaker.model.ListEndpointsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListEndpointsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListEndpointsIterable responses = client.listEndpointsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listEndpointsRequest - A Consumer that will call methods on ListEndpointsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listExperiments

default ListExperimentsResponse listExperiments(ListExperimentsRequest listExperimentsRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.

Parameters:

listExperimentsRequest -

Returns:

Result of the ListExperiments operation returned by the service.

See Also:

• AWS API Documentation

listExperiments

default ListExperimentsResponse listExperiments(Consumer<ListExperimentsRequest.Builder> listExperimentsRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.

This is a convenience which creates an instance of the ListExperimentsRequest.Builder avoiding the need to create one manually via ListExperimentsRequest.builder()

Parameters:

listExperimentsRequest - A Consumer that will call methods on ListExperimentsRequest.Builder to create a request.

Returns:

Result of the ListExperiments operation returned by the service.

See Also:

• AWS API Documentation

listExperimentsPaginator

default ListExperimentsIterable listExperimentsPaginator(ListExperimentsRequest listExperimentsRequest)
                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsIterable responses = client.listExperimentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsIterable responses = client
             .listExperimentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListExperimentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsIterable responses = client.listExperimentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation.

Parameters:

listExperimentsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listExperimentsPaginator

default ListExperimentsIterable listExperimentsPaginator(Consumer<ListExperimentsRequest.Builder> listExperimentsRequest)
                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsIterable responses = client.listExperimentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsIterable responses = client
             .listExperimentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListExperimentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListExperimentsIterable responses = client.listExperimentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listExperiments(software.amazon.awssdk.services.sagemaker.model.ListExperimentsRequest) operation.

This is a convenience which creates an instance of the ListExperimentsRequest.Builder avoiding the need to create one manually via ListExperimentsRequest.builder()

Parameters:

listExperimentsRequest - A Consumer that will call methods on ListExperimentsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listFeatureGroups

default ListFeatureGroupsResponse listFeatureGroups(ListFeatureGroupsRequest listFeatureGroupsRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

List FeatureGroups based on given filter and order.

Parameters:

listFeatureGroupsRequest -

Returns:

Result of the ListFeatureGroups operation returned by the service.

See Also:

• AWS API Documentation

listFeatureGroups

default ListFeatureGroupsResponse listFeatureGroups(Consumer<ListFeatureGroupsRequest.Builder> listFeatureGroupsRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

List FeatureGroups based on given filter and order.

This is a convenience which creates an instance of the ListFeatureGroupsRequest.Builder avoiding the need to create one manually via ListFeatureGroupsRequest.builder()

Parameters:

listFeatureGroupsRequest - A Consumer that will call methods on ListFeatureGroupsRequest.Builder to create a request.

Returns:

Result of the ListFeatureGroups operation returned by the service.

See Also:

• AWS API Documentation

listFeatureGroupsPaginator

default ListFeatureGroupsIterable listFeatureGroupsPaginator(ListFeatureGroupsRequest listFeatureGroupsRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listFeatureGroups(software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFeatureGroupsIterable responses = client.listFeatureGroupsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListFeatureGroupsIterable responses = client
             .listFeatureGroupsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFeatureGroupsIterable responses = client.listFeatureGroupsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listFeatureGroups(software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsRequest) operation.

Parameters:

listFeatureGroupsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listFeatureGroupsPaginator

default ListFeatureGroupsIterable listFeatureGroupsPaginator(Consumer<ListFeatureGroupsRequest.Builder> listFeatureGroupsRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listFeatureGroups(software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFeatureGroupsIterable responses = client.listFeatureGroupsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListFeatureGroupsIterable responses = client
             .listFeatureGroupsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFeatureGroupsIterable responses = client.listFeatureGroupsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listFeatureGroups(software.amazon.awssdk.services.sagemaker.model.ListFeatureGroupsRequest) operation.

This is a convenience which creates an instance of the ListFeatureGroupsRequest.Builder avoiding the need to create one manually via ListFeatureGroupsRequest.builder()

Parameters:

listFeatureGroupsRequest - A Consumer that will call methods on ListFeatureGroupsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listFlowDefinitions

default ListFlowDefinitionsResponse listFlowDefinitions(ListFlowDefinitionsRequest listFlowDefinitionsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the flow definitions in your account.

Parameters:

listFlowDefinitionsRequest -

Returns:

Result of the ListFlowDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listFlowDefinitions

default ListFlowDefinitionsResponse listFlowDefinitions(Consumer<ListFlowDefinitionsRequest.Builder> listFlowDefinitionsRequest)
                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the flow definitions in your account.

This is a convenience which creates an instance of the ListFlowDefinitionsRequest.Builder avoiding the need to create one manually via ListFlowDefinitionsRequest.builder()

Parameters:

listFlowDefinitionsRequest - A Consumer that will call methods on ListFlowDefinitionsRequest.Builder to create a request.

Returns:

Result of the ListFlowDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listFlowDefinitionsPaginator

default ListFlowDefinitionsIterable listFlowDefinitionsPaginator(ListFlowDefinitionsRequest listFlowDefinitionsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsIterable responses = client.listFlowDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsIterable responses = client
             .listFlowDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsIterable responses = client.listFlowDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest) operation.

Parameters:

listFlowDefinitionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listFlowDefinitionsPaginator

default ListFlowDefinitionsIterable listFlowDefinitionsPaginator(Consumer<ListFlowDefinitionsRequest.Builder> listFlowDefinitionsRequest)
                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsIterable responses = client.listFlowDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsIterable responses = client
             .listFlowDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListFlowDefinitionsIterable responses = client.listFlowDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listFlowDefinitions(software.amazon.awssdk.services.sagemaker.model.ListFlowDefinitionsRequest) operation.

This is a convenience which creates an instance of the ListFlowDefinitionsRequest.Builder avoiding the need to create one manually via ListFlowDefinitionsRequest.builder()

Parameters:

listFlowDefinitionsRequest - A Consumer that will call methods on ListFlowDefinitionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listHubContentVersions

default ListHubContentVersionsResponse listHubContentVersions(ListHubContentVersionsRequest listHubContentVersionsRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List hub content versions.

Parameters:

listHubContentVersionsRequest -

Returns:

Result of the ListHubContentVersions operation returned by the service.

See Also:

• AWS API Documentation

listHubContentVersions

default ListHubContentVersionsResponse listHubContentVersions(Consumer<ListHubContentVersionsRequest.Builder> listHubContentVersionsRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List hub content versions.

This is a convenience which creates an instance of the ListHubContentVersionsRequest.Builder avoiding the need to create one manually via ListHubContentVersionsRequest.builder()

Parameters:

listHubContentVersionsRequest - A Consumer that will call methods on ListHubContentVersionsRequest.Builder to create a request.

Returns:

Result of the ListHubContentVersions operation returned by the service.

See Also:

• AWS API Documentation

listHubContents

default ListHubContentsResponse listHubContents(ListHubContentsRequest listHubContentsRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List the contents of a hub.

Parameters:

listHubContentsRequest -

Returns:

Result of the ListHubContents operation returned by the service.

See Also:

• AWS API Documentation

listHubContents

default ListHubContentsResponse listHubContents(Consumer<ListHubContentsRequest.Builder> listHubContentsRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List the contents of a hub.

This is a convenience which creates an instance of the ListHubContentsRequest.Builder avoiding the need to create one manually via ListHubContentsRequest.builder()

Parameters:

listHubContentsRequest - A Consumer that will call methods on ListHubContentsRequest.Builder to create a request.

Returns:

Result of the ListHubContents operation returned by the service.

See Also:

• AWS API Documentation

listHubs

default ListHubsResponse listHubs(ListHubsRequest listHubsRequest)
                           throws AwsServiceException,
SdkClientException,
SageMakerException

List all existing hubs.

Parameters:

listHubsRequest -

Returns:

Result of the ListHubs operation returned by the service.

See Also:

• AWS API Documentation

listHubs

default ListHubsResponse listHubs(Consumer<ListHubsRequest.Builder> listHubsRequest)
                           throws AwsServiceException,
SdkClientException,
SageMakerException

List all existing hubs.

This is a convenience which creates an instance of the ListHubsRequest.Builder avoiding the need to create one manually via ListHubsRequest.builder()

Parameters:

listHubsRequest - A Consumer that will call methods on ListHubsRequest.Builder to create a request.

Returns:

Result of the ListHubs operation returned by the service.

See Also:

• AWS API Documentation

listHumanTaskUis

default ListHumanTaskUisResponse listHumanTaskUis(ListHumanTaskUisRequest listHumanTaskUisRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the human task user interfaces in your account.

Parameters:

listHumanTaskUisRequest -

Returns:

Result of the ListHumanTaskUis operation returned by the service.

See Also:

• AWS API Documentation

listHumanTaskUis

default ListHumanTaskUisResponse listHumanTaskUis(Consumer<ListHumanTaskUisRequest.Builder> listHumanTaskUisRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns information about the human task user interfaces in your account.

This is a convenience which creates an instance of the ListHumanTaskUisRequest.Builder avoiding the need to create one manually via ListHumanTaskUisRequest.builder()

Parameters:

listHumanTaskUisRequest - A Consumer that will call methods on ListHumanTaskUisRequest.Builder to create a request.

Returns:

Result of the ListHumanTaskUis operation returned by the service.

See Also:

• AWS API Documentation

listHumanTaskUisPaginator

default ListHumanTaskUisIterable listHumanTaskUisPaginator(ListHumanTaskUisRequest listHumanTaskUisRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisIterable responses = client.listHumanTaskUisPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisIterable responses = client
             .listHumanTaskUisPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisIterable responses = client.listHumanTaskUisPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation.

Parameters:

listHumanTaskUisRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listHumanTaskUisPaginator

default ListHumanTaskUisIterable listHumanTaskUisPaginator(Consumer<ListHumanTaskUisRequest.Builder> listHumanTaskUisRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisIterable responses = client.listHumanTaskUisPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisIterable responses = client
             .listHumanTaskUisPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHumanTaskUisIterable responses = client.listHumanTaskUisPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listHumanTaskUis(software.amazon.awssdk.services.sagemaker.model.ListHumanTaskUisRequest) operation.

This is a convenience which creates an instance of the ListHumanTaskUisRequest.Builder avoiding the need to create one manually via ListHumanTaskUisRequest.builder()

Parameters:

listHumanTaskUisRequest - A Consumer that will call methods on ListHumanTaskUisRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listHyperParameterTuningJobs

default ListHyperParameterTuningJobsResponse listHyperParameterTuningJobs(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
                                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.

Parameters:

listHyperParameterTuningJobsRequest -

Returns:

Result of the ListHyperParameterTuningJobs operation returned by the service.

See Also:

• AWS API Documentation

listHyperParameterTuningJobs

default ListHyperParameterTuningJobsResponse listHyperParameterTuningJobs(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
                                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listHyperParameterTuningJobsRequest - A Consumer that will call methods on ListHyperParameterTuningJobsRequest.Builder to create a request.

Returns:

Result of the ListHyperParameterTuningJobs operation returned by the service.

See Also:

• AWS API Documentation

listHyperParameterTuningJobs

default ListHyperParameterTuningJobsResponse listHyperParameterTuningJobs()
                                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.

Returns:

Result of the ListHyperParameterTuningJobs operation returned by the service.

See Also:

• listHyperParameterTuningJobs(ListHyperParameterTuningJobsRequest)
• AWS API Documentation

listHyperParameterTuningJobsPaginator

default ListHyperParameterTuningJobsIterable listHyperParameterTuningJobsPaginator()
                                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client.listHyperParameterTuningJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client
             .listHyperParameterTuningJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client.listHyperParameterTuningJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listHyperParameterTuningJobsPaginator(ListHyperParameterTuningJobsRequest)
• AWS API Documentation

listHyperParameterTuningJobsPaginator

default ListHyperParameterTuningJobsIterable listHyperParameterTuningJobsPaginator(ListHyperParameterTuningJobsRequest listHyperParameterTuningJobsRequest)
                                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client.listHyperParameterTuningJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client
             .listHyperParameterTuningJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client.listHyperParameterTuningJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation.

Parameters:

listHyperParameterTuningJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listHyperParameterTuningJobsPaginator

default ListHyperParameterTuningJobsIterable listHyperParameterTuningJobsPaginator(Consumer<ListHyperParameterTuningJobsRequest.Builder> listHyperParameterTuningJobsRequest)
                                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listHyperParameterTuningJobs(software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client.listHyperParameterTuningJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client
             .listHyperParameterTuningJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListHyperParameterTuningJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListHyperParameterTuningJobsIterable responses = client.listHyperParameterTuningJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listHyperParameterTuningJobsRequest - A Consumer that will call methods on ListHyperParameterTuningJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listImageVersions

default ListImageVersionsResponse listImageVersions(ListImageVersionsRequest listImageVersionsRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.

Parameters:

listImageVersionsRequest -

Returns:

Result of the ListImageVersions operation returned by the service.

See Also:

• AWS API Documentation

listImageVersions

default ListImageVersionsResponse listImageVersions(Consumer<ListImageVersionsRequest.Builder> listImageVersionsRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.

This is a convenience which creates an instance of the ListImageVersionsRequest.Builder avoiding the need to create one manually via ListImageVersionsRequest.builder()

Parameters:

listImageVersionsRequest - A Consumer that will call methods on ListImageVersionsRequest.Builder to create a request.

Returns:

Result of the ListImageVersions operation returned by the service.

See Also:

• AWS API Documentation

listImageVersionsPaginator

default ListImageVersionsIterable listImageVersionsPaginator(ListImageVersionsRequest listImageVersionsRequest)
                                                      throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listImageVersions(software.amazon.awssdk.services.sagemaker.model.ListImageVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImageVersionsIterable responses = client.listImageVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListImageVersionsIterable responses = client
             .listImageVersionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListImageVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImageVersionsIterable responses = client.listImageVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listImageVersions(software.amazon.awssdk.services.sagemaker.model.ListImageVersionsRequest) operation.

Parameters:

listImageVersionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listImageVersionsPaginator

default ListImageVersionsIterable listImageVersionsPaginator(Consumer<ListImageVersionsRequest.Builder> listImageVersionsRequest)
                                                      throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listImageVersions(software.amazon.awssdk.services.sagemaker.model.ListImageVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImageVersionsIterable responses = client.listImageVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListImageVersionsIterable responses = client
             .listImageVersionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListImageVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImageVersionsIterable responses = client.listImageVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listImageVersions(software.amazon.awssdk.services.sagemaker.model.ListImageVersionsRequest) operation.

This is a convenience which creates an instance of the ListImageVersionsRequest.Builder avoiding the need to create one manually via ListImageVersionsRequest.builder()

Parameters:

listImageVersionsRequest - A Consumer that will call methods on ListImageVersionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listImages

default ListImagesResponse listImages(ListImagesRequest listImagesRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.

Parameters:

listImagesRequest -

Returns:

Result of the ListImages operation returned by the service.

See Also:

• AWS API Documentation

listImages

default ListImagesResponse listImages(Consumer<ListImagesRequest.Builder> listImagesRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.

This is a convenience which creates an instance of the ListImagesRequest.Builder avoiding the need to create one manually via ListImagesRequest.builder()

Parameters:

listImagesRequest - A Consumer that will call methods on ListImagesRequest.Builder to create a request.

Returns:

Result of the ListImages operation returned by the service.

See Also:

• AWS API Documentation

listImagesPaginator

default ListImagesIterable listImagesPaginator(ListImagesRequest listImagesRequest)
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listImages(software.amazon.awssdk.services.sagemaker.model.ListImagesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImagesIterable responses = client.listImagesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListImagesIterable responses = client.listImagesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListImagesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImagesIterable responses = client.listImagesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listImages(software.amazon.awssdk.services.sagemaker.model.ListImagesRequest) operation.

Parameters:

listImagesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listImagesPaginator

default ListImagesIterable listImagesPaginator(Consumer<ListImagesRequest.Builder> listImagesRequest)
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listImages(software.amazon.awssdk.services.sagemaker.model.ListImagesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImagesIterable responses = client.listImagesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListImagesIterable responses = client.listImagesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListImagesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListImagesIterable responses = client.listImagesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listImages(software.amazon.awssdk.services.sagemaker.model.ListImagesRequest) operation.

This is a convenience which creates an instance of the ListImagesRequest.Builder avoiding the need to create one manually via ListImagesRequest.builder()

Parameters:

listImagesRequest - A Consumer that will call methods on ListImagesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceComponents

default ListInferenceComponentsResponse listInferenceComponents(ListInferenceComponentsRequest listInferenceComponentsRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the inference components in your account and their properties.

Parameters:

listInferenceComponentsRequest -

Returns:

Result of the ListInferenceComponents operation returned by the service.

See Also:

• AWS API Documentation

listInferenceComponents

default ListInferenceComponentsResponse listInferenceComponents(Consumer<ListInferenceComponentsRequest.Builder> listInferenceComponentsRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the inference components in your account and their properties.

This is a convenience which creates an instance of the ListInferenceComponentsRequest.Builder avoiding the need to create one manually via ListInferenceComponentsRequest.builder()

Parameters:

listInferenceComponentsRequest - A Consumer that will call methods on ListInferenceComponentsRequest.Builder to create a request.

Returns:

Result of the ListInferenceComponents operation returned by the service.

See Also:

• AWS API Documentation

listInferenceComponentsPaginator

default ListInferenceComponentsIterable listInferenceComponentsPaginator(ListInferenceComponentsRequest listInferenceComponentsRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceComponents(software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceComponentsIterable responses = client.listInferenceComponentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceComponentsIterable responses = client
             .listInferenceComponentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceComponentsIterable responses = client.listInferenceComponentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceComponents(software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsRequest) operation.

Parameters:

listInferenceComponentsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceComponentsPaginator

default ListInferenceComponentsIterable listInferenceComponentsPaginator(Consumer<ListInferenceComponentsRequest.Builder> listInferenceComponentsRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceComponents(software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceComponentsIterable responses = client.listInferenceComponentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceComponentsIterable responses = client
             .listInferenceComponentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceComponentsIterable responses = client.listInferenceComponentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceComponents(software.amazon.awssdk.services.sagemaker.model.ListInferenceComponentsRequest) operation.

This is a convenience which creates an instance of the ListInferenceComponentsRequest.Builder avoiding the need to create one manually via ListInferenceComponentsRequest.builder()

Parameters:

listInferenceComponentsRequest - A Consumer that will call methods on ListInferenceComponentsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceExperiments

default ListInferenceExperimentsResponse listInferenceExperiments(ListInferenceExperimentsRequest listInferenceExperimentsRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns the list of all inference experiments.

Parameters:

listInferenceExperimentsRequest -

Returns:

Result of the ListInferenceExperiments operation returned by the service.

See Also:

• AWS API Documentation

listInferenceExperiments

default ListInferenceExperimentsResponse listInferenceExperiments(Consumer<ListInferenceExperimentsRequest.Builder> listInferenceExperimentsRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns the list of all inference experiments.

This is a convenience which creates an instance of the ListInferenceExperimentsRequest.Builder avoiding the need to create one manually via ListInferenceExperimentsRequest.builder()

Parameters:

listInferenceExperimentsRequest - A Consumer that will call methods on ListInferenceExperimentsRequest.Builder to create a request.

Returns:

Result of the ListInferenceExperiments operation returned by the service.

See Also:

• AWS API Documentation

listInferenceExperimentsPaginator

default ListInferenceExperimentsIterable listInferenceExperimentsPaginator(ListInferenceExperimentsRequest listInferenceExperimentsRequest)
                                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceExperiments(software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceExperimentsIterable responses = client.listInferenceExperimentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceExperimentsIterable responses = client
             .listInferenceExperimentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceExperimentsIterable responses = client.listInferenceExperimentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceExperiments(software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsRequest) operation.

Parameters:

listInferenceExperimentsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceExperimentsPaginator

default ListInferenceExperimentsIterable listInferenceExperimentsPaginator(Consumer<ListInferenceExperimentsRequest.Builder> listInferenceExperimentsRequest)
                                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceExperiments(software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceExperimentsIterable responses = client.listInferenceExperimentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceExperimentsIterable responses = client
             .listInferenceExperimentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceExperimentsIterable responses = client.listInferenceExperimentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceExperiments(software.amazon.awssdk.services.sagemaker.model.ListInferenceExperimentsRequest) operation.

This is a convenience which creates an instance of the ListInferenceExperimentsRequest.Builder avoiding the need to create one manually via ListInferenceExperimentsRequest.builder()

Parameters:

listInferenceExperimentsRequest - A Consumer that will call methods on ListInferenceExperimentsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobSteps

default ListInferenceRecommendationsJobStepsResponse listInferenceRecommendationsJobSteps(ListInferenceRecommendationsJobStepsRequest listInferenceRecommendationsJobStepsRequest)
                                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of the subtasks for an Inference Recommender job.

The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.

Parameters:

listInferenceRecommendationsJobStepsRequest -

Returns:

Result of the ListInferenceRecommendationsJobSteps operation returned by the service.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobSteps

default ListInferenceRecommendationsJobStepsResponse listInferenceRecommendationsJobSteps(Consumer<ListInferenceRecommendationsJobStepsRequest.Builder> listInferenceRecommendationsJobStepsRequest)
                                                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of the subtasks for an Inference Recommender job.

The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.

This is a convenience which creates an instance of the ListInferenceRecommendationsJobStepsRequest.Builder avoiding the need to create one manually via ListInferenceRecommendationsJobStepsRequest.builder()

Parameters:

listInferenceRecommendationsJobStepsRequest - A Consumer that will call methods on ListInferenceRecommendationsJobStepsRequest.Builder to create a request.

Returns:

Result of the ListInferenceRecommendationsJobSteps operation returned by the service.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobStepsPaginator

default ListInferenceRecommendationsJobStepsIterable listInferenceRecommendationsJobStepsPaginator(ListInferenceRecommendationsJobStepsRequest listInferenceRecommendationsJobStepsRequest)
                                                                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceRecommendationsJobSteps(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobStepsIterable responses = client.listInferenceRecommendationsJobStepsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobStepsIterable responses = client
             .listInferenceRecommendationsJobStepsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobStepsIterable responses = client.listInferenceRecommendationsJobStepsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceRecommendationsJobSteps(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest) operation.

Parameters:

listInferenceRecommendationsJobStepsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobStepsPaginator

default ListInferenceRecommendationsJobStepsIterable listInferenceRecommendationsJobStepsPaginator(Consumer<ListInferenceRecommendationsJobStepsRequest.Builder> listInferenceRecommendationsJobStepsRequest)
                                                                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceRecommendationsJobSteps(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobStepsIterable responses = client.listInferenceRecommendationsJobStepsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobStepsIterable responses = client
             .listInferenceRecommendationsJobStepsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobStepsIterable responses = client.listInferenceRecommendationsJobStepsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceRecommendationsJobSteps(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobStepsRequest) operation.

This is a convenience which creates an instance of the ListInferenceRecommendationsJobStepsRequest.Builder avoiding the need to create one manually via ListInferenceRecommendationsJobStepsRequest.builder()

Parameters:

listInferenceRecommendationsJobStepsRequest - A Consumer that will call methods on ListInferenceRecommendationsJobStepsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobs

default ListInferenceRecommendationsJobsResponse listInferenceRecommendationsJobs(ListInferenceRecommendationsJobsRequest listInferenceRecommendationsJobsRequest)
                                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists recommendation jobs that satisfy various filters.

Parameters:

listInferenceRecommendationsJobsRequest -

Returns:

Result of the ListInferenceRecommendationsJobs operation returned by the service.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobs

default ListInferenceRecommendationsJobsResponse listInferenceRecommendationsJobs(Consumer<ListInferenceRecommendationsJobsRequest.Builder> listInferenceRecommendationsJobsRequest)
                                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists recommendation jobs that satisfy various filters.

This is a convenience which creates an instance of the ListInferenceRecommendationsJobsRequest.Builder avoiding the need to create one manually via ListInferenceRecommendationsJobsRequest.builder()

Parameters:

listInferenceRecommendationsJobsRequest - A Consumer that will call methods on ListInferenceRecommendationsJobsRequest.Builder to create a request.

Returns:

Result of the ListInferenceRecommendationsJobs operation returned by the service.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobsPaginator

default ListInferenceRecommendationsJobsIterable listInferenceRecommendationsJobsPaginator(ListInferenceRecommendationsJobsRequest listInferenceRecommendationsJobsRequest)
                                                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceRecommendationsJobs(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobsIterable responses = client.listInferenceRecommendationsJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobsIterable responses = client
             .listInferenceRecommendationsJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobsIterable responses = client.listInferenceRecommendationsJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceRecommendationsJobs(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsRequest) operation.

Parameters:

listInferenceRecommendationsJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listInferenceRecommendationsJobsPaginator

default ListInferenceRecommendationsJobsIterable listInferenceRecommendationsJobsPaginator(Consumer<ListInferenceRecommendationsJobsRequest.Builder> listInferenceRecommendationsJobsRequest)
                                                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listInferenceRecommendationsJobs(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobsIterable responses = client.listInferenceRecommendationsJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobsIterable responses = client
             .listInferenceRecommendationsJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListInferenceRecommendationsJobsIterable responses = client.listInferenceRecommendationsJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listInferenceRecommendationsJobs(software.amazon.awssdk.services.sagemaker.model.ListInferenceRecommendationsJobsRequest) operation.

This is a convenience which creates an instance of the ListInferenceRecommendationsJobsRequest.Builder avoiding the need to create one manually via ListInferenceRecommendationsJobsRequest.builder()

Parameters:

listInferenceRecommendationsJobsRequest - A Consumer that will call methods on ListInferenceRecommendationsJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listLabelingJobs

default ListLabelingJobsResponse listLabelingJobs(ListLabelingJobsRequest listLabelingJobsRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of labeling jobs.

Parameters:

listLabelingJobsRequest -

Returns:

Result of the ListLabelingJobs operation returned by the service.

See Also:

• AWS API Documentation

listLabelingJobs

default ListLabelingJobsResponse listLabelingJobs(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listLabelingJobsRequest - A Consumer that will call methods on ListLabelingJobsRequest.Builder to create a request.

Returns:

Result of the ListLabelingJobs operation returned by the service.

See Also:

• AWS API Documentation

listLabelingJobs

default ListLabelingJobsResponse listLabelingJobs()
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of labeling jobs.

Returns:

Result of the ListLabelingJobs operation returned by the service.

See Also:

• listLabelingJobs(ListLabelingJobsRequest)
• AWS API Documentation

listLabelingJobsPaginator

default ListLabelingJobsIterable listLabelingJobsPaginator()
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client.listLabelingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client
             .listLabelingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client.listLabelingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listLabelingJobsPaginator(ListLabelingJobsRequest)
• AWS API Documentation

listLabelingJobsPaginator

default ListLabelingJobsIterable listLabelingJobsPaginator(ListLabelingJobsRequest listLabelingJobsRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client.listLabelingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client
             .listLabelingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client.listLabelingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation.

Parameters:

listLabelingJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listLabelingJobsPaginator

default ListLabelingJobsIterable listLabelingJobsPaginator(Consumer<ListLabelingJobsRequest.Builder> listLabelingJobsRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLabelingJobs(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client.listLabelingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client
             .listLabelingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsIterable responses = client.listLabelingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listLabelingJobsRequest - A Consumer that will call methods on ListLabelingJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listLabelingJobsForWorkteam

default ListLabelingJobsForWorkteamResponse listLabelingJobsForWorkteam(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of labeling jobs assigned to a specified work team.

Parameters:

listLabelingJobsForWorkteamRequest -

Returns:

Result of the ListLabelingJobsForWorkteam operation returned by the service.

See Also:

• AWS API Documentation

listLabelingJobsForWorkteam

default ListLabelingJobsForWorkteamResponse listLabelingJobsForWorkteam(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listLabelingJobsForWorkteamRequest - A Consumer that will call methods on ListLabelingJobsForWorkteamRequest.Builder to create a request.

Returns:

Result of the ListLabelingJobsForWorkteam operation returned by the service.

See Also:

• AWS API Documentation

listLabelingJobsForWorkteamPaginator

default ListLabelingJobsForWorkteamIterable listLabelingJobsForWorkteamPaginator(ListLabelingJobsForWorkteamRequest listLabelingJobsForWorkteamRequest)
                                                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamIterable responses = client.listLabelingJobsForWorkteamPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamIterable responses = client
             .listLabelingJobsForWorkteamPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamIterable responses = client.listLabelingJobsForWorkteamPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest) operation.

Parameters:

listLabelingJobsForWorkteamRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listLabelingJobsForWorkteamPaginator

default ListLabelingJobsForWorkteamIterable listLabelingJobsForWorkteamPaginator(Consumer<ListLabelingJobsForWorkteamRequest.Builder> listLabelingJobsForWorkteamRequest)
                                                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLabelingJobsForWorkteam(software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamIterable responses = client.listLabelingJobsForWorkteamPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamIterable responses = client
             .listLabelingJobsForWorkteamPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLabelingJobsForWorkteamResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLabelingJobsForWorkteamIterable responses = client.listLabelingJobsForWorkteamPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listLabelingJobsForWorkteamRequest - A Consumer that will call methods on ListLabelingJobsForWorkteamRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listLineageGroups

default ListLineageGroupsResponse listLineageGroups(ListLineageGroupsRequest listLineageGroupsRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

A list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.

Parameters:

listLineageGroupsRequest -

Returns:

Result of the ListLineageGroups operation returned by the service.

See Also:

• AWS API Documentation

listLineageGroups

default ListLineageGroupsResponse listLineageGroups(Consumer<ListLineageGroupsRequest.Builder> listLineageGroupsRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

A list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.

This is a convenience which creates an instance of the ListLineageGroupsRequest.Builder avoiding the need to create one manually via ListLineageGroupsRequest.builder()

Parameters:

listLineageGroupsRequest - A Consumer that will call methods on ListLineageGroupsRequest.Builder to create a request.

Returns:

Result of the ListLineageGroups operation returned by the service.

See Also:

• AWS API Documentation

listLineageGroupsPaginator

default ListLineageGroupsIterable listLineageGroupsPaginator(ListLineageGroupsRequest listLineageGroupsRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLineageGroups(software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLineageGroupsIterable responses = client.listLineageGroupsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLineageGroupsIterable responses = client
             .listLineageGroupsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLineageGroupsIterable responses = client.listLineageGroupsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listLineageGroups(software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsRequest) operation.

Parameters:

listLineageGroupsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listLineageGroupsPaginator

default ListLineageGroupsIterable listLineageGroupsPaginator(Consumer<ListLineageGroupsRequest.Builder> listLineageGroupsRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listLineageGroups(software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLineageGroupsIterable responses = client.listLineageGroupsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListLineageGroupsIterable responses = client
             .listLineageGroupsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListLineageGroupsIterable responses = client.listLineageGroupsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listLineageGroups(software.amazon.awssdk.services.sagemaker.model.ListLineageGroupsRequest) operation.

This is a convenience which creates an instance of the ListLineageGroupsRequest.Builder avoiding the need to create one manually via ListLineageGroupsRequest.builder()

Parameters:

listLineageGroupsRequest - A Consumer that will call methods on ListLineageGroupsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMlflowTrackingServers

default ListMlflowTrackingServersResponse listMlflowTrackingServers(ListMlflowTrackingServersRequest listMlflowTrackingServersRequest)
                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all MLflow Tracking Servers.

Parameters:

listMlflowTrackingServersRequest -

Returns:

Result of the ListMlflowTrackingServers operation returned by the service.

See Also:

• AWS API Documentation

listMlflowTrackingServers

default ListMlflowTrackingServersResponse listMlflowTrackingServers(Consumer<ListMlflowTrackingServersRequest.Builder> listMlflowTrackingServersRequest)
                                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all MLflow Tracking Servers.

This is a convenience which creates an instance of the ListMlflowTrackingServersRequest.Builder avoiding the need to create one manually via ListMlflowTrackingServersRequest.builder()

Parameters:

listMlflowTrackingServersRequest - A Consumer that will call methods on ListMlflowTrackingServersRequest.Builder to create a request.

Returns:

Result of the ListMlflowTrackingServers operation returned by the service.

See Also:

• AWS API Documentation

listMlflowTrackingServersPaginator

default ListMlflowTrackingServersIterable listMlflowTrackingServersPaginator(ListMlflowTrackingServersRequest listMlflowTrackingServersRequest)
                                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMlflowTrackingServers(software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMlflowTrackingServersIterable responses = client.listMlflowTrackingServersPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMlflowTrackingServersIterable responses = client
             .listMlflowTrackingServersPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMlflowTrackingServersIterable responses = client.listMlflowTrackingServersPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMlflowTrackingServers(software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersRequest) operation.

Parameters:

listMlflowTrackingServersRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMlflowTrackingServersPaginator

default ListMlflowTrackingServersIterable listMlflowTrackingServersPaginator(Consumer<ListMlflowTrackingServersRequest.Builder> listMlflowTrackingServersRequest)
                                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMlflowTrackingServers(software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMlflowTrackingServersIterable responses = client.listMlflowTrackingServersPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMlflowTrackingServersIterable responses = client
             .listMlflowTrackingServersPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMlflowTrackingServersIterable responses = client.listMlflowTrackingServersPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMlflowTrackingServers(software.amazon.awssdk.services.sagemaker.model.ListMlflowTrackingServersRequest) operation.

This is a convenience which creates an instance of the ListMlflowTrackingServersRequest.Builder avoiding the need to create one manually via ListMlflowTrackingServersRequest.builder()

Parameters:

listMlflowTrackingServersRequest - A Consumer that will call methods on ListMlflowTrackingServersRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelBiasJobDefinitions

default ListModelBiasJobDefinitionsResponse listModelBiasJobDefinitions(ListModelBiasJobDefinitionsRequest listModelBiasJobDefinitionsRequest)
                                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists model bias jobs definitions that satisfy various filters.

Parameters:

listModelBiasJobDefinitionsRequest -

Returns:

Result of the ListModelBiasJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listModelBiasJobDefinitions

default ListModelBiasJobDefinitionsResponse listModelBiasJobDefinitions(Consumer<ListModelBiasJobDefinitionsRequest.Builder> listModelBiasJobDefinitionsRequest)
                                                                 throws AwsServiceException,
SdkClientException,
SageMakerException

Lists model bias jobs definitions that satisfy various filters.

This is a convenience which creates an instance of the ListModelBiasJobDefinitionsRequest.Builder avoiding the need to create one manually via ListModelBiasJobDefinitionsRequest.builder()

Parameters:

listModelBiasJobDefinitionsRequest - A Consumer that will call methods on ListModelBiasJobDefinitionsRequest.Builder to create a request.

Returns:

Result of the ListModelBiasJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listModelBiasJobDefinitionsPaginator

default ListModelBiasJobDefinitionsIterable listModelBiasJobDefinitionsPaginator(ListModelBiasJobDefinitionsRequest listModelBiasJobDefinitionsRequest)
                                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelBiasJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelBiasJobDefinitionsIterable responses = client.listModelBiasJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelBiasJobDefinitionsIterable responses = client
             .listModelBiasJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelBiasJobDefinitionsIterable responses = client.listModelBiasJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelBiasJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsRequest) operation.

Parameters:

listModelBiasJobDefinitionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelBiasJobDefinitionsPaginator

default ListModelBiasJobDefinitionsIterable listModelBiasJobDefinitionsPaginator(Consumer<ListModelBiasJobDefinitionsRequest.Builder> listModelBiasJobDefinitionsRequest)
                                                                          throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelBiasJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelBiasJobDefinitionsIterable responses = client.listModelBiasJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelBiasJobDefinitionsIterable responses = client
             .listModelBiasJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelBiasJobDefinitionsIterable responses = client.listModelBiasJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelBiasJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelBiasJobDefinitionsRequest) operation.

This is a convenience which creates an instance of the ListModelBiasJobDefinitionsRequest.Builder avoiding the need to create one manually via ListModelBiasJobDefinitionsRequest.builder()

Parameters:

listModelBiasJobDefinitionsRequest - A Consumer that will call methods on ListModelBiasJobDefinitionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelCardExportJobs

default ListModelCardExportJobsResponse listModelCardExportJobs(ListModelCardExportJobsRequest listModelCardExportJobsRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

List the export jobs for the Amazon SageMaker Model Card.

Parameters:

listModelCardExportJobsRequest -

Returns:

Result of the ListModelCardExportJobs operation returned by the service.

See Also:

• AWS API Documentation

listModelCardExportJobs

default ListModelCardExportJobsResponse listModelCardExportJobs(Consumer<ListModelCardExportJobsRequest.Builder> listModelCardExportJobsRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

List the export jobs for the Amazon SageMaker Model Card.

This is a convenience which creates an instance of the ListModelCardExportJobsRequest.Builder avoiding the need to create one manually via ListModelCardExportJobsRequest.builder()

Parameters:

listModelCardExportJobsRequest - A Consumer that will call methods on ListModelCardExportJobsRequest.Builder to create a request.

Returns:

Result of the ListModelCardExportJobs operation returned by the service.

See Also:

• AWS API Documentation

listModelCardExportJobsPaginator

default ListModelCardExportJobsIterable listModelCardExportJobsPaginator(ListModelCardExportJobsRequest listModelCardExportJobsRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelCardExportJobs(software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardExportJobsIterable responses = client.listModelCardExportJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelCardExportJobsIterable responses = client
             .listModelCardExportJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardExportJobsIterable responses = client.listModelCardExportJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelCardExportJobs(software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsRequest) operation.

Parameters:

listModelCardExportJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelCardExportJobsPaginator

default ListModelCardExportJobsIterable listModelCardExportJobsPaginator(Consumer<ListModelCardExportJobsRequest.Builder> listModelCardExportJobsRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelCardExportJobs(software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardExportJobsIterable responses = client.listModelCardExportJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelCardExportJobsIterable responses = client
             .listModelCardExportJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardExportJobsIterable responses = client.listModelCardExportJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelCardExportJobs(software.amazon.awssdk.services.sagemaker.model.ListModelCardExportJobsRequest) operation.

This is a convenience which creates an instance of the ListModelCardExportJobsRequest.Builder avoiding the need to create one manually via ListModelCardExportJobsRequest.builder()

Parameters:

listModelCardExportJobsRequest - A Consumer that will call methods on ListModelCardExportJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelCardVersions

default ListModelCardVersionsResponse listModelCardVersions(ListModelCardVersionsRequest listModelCardVersionsRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List existing versions of an Amazon SageMaker Model Card.

Parameters:

listModelCardVersionsRequest -

Returns:

Result of the ListModelCardVersions operation returned by the service.

See Also:

• AWS API Documentation

listModelCardVersions

default ListModelCardVersionsResponse listModelCardVersions(Consumer<ListModelCardVersionsRequest.Builder> listModelCardVersionsRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

List existing versions of an Amazon SageMaker Model Card.

This is a convenience which creates an instance of the ListModelCardVersionsRequest.Builder avoiding the need to create one manually via ListModelCardVersionsRequest.builder()

Parameters:

listModelCardVersionsRequest - A Consumer that will call methods on ListModelCardVersionsRequest.Builder to create a request.

Returns:

Result of the ListModelCardVersions operation returned by the service.

See Also:

• AWS API Documentation

listModelCardVersionsPaginator

default ListModelCardVersionsIterable listModelCardVersionsPaginator(ListModelCardVersionsRequest listModelCardVersionsRequest)
                                                              throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelCardVersions(software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardVersionsIterable responses = client.listModelCardVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelCardVersionsIterable responses = client
             .listModelCardVersionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardVersionsIterable responses = client.listModelCardVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelCardVersions(software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsRequest) operation.

Parameters:

listModelCardVersionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelCardVersionsPaginator

default ListModelCardVersionsIterable listModelCardVersionsPaginator(Consumer<ListModelCardVersionsRequest.Builder> listModelCardVersionsRequest)
                                                              throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelCardVersions(software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardVersionsIterable responses = client.listModelCardVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelCardVersionsIterable responses = client
             .listModelCardVersionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardVersionsIterable responses = client.listModelCardVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelCardVersions(software.amazon.awssdk.services.sagemaker.model.ListModelCardVersionsRequest) operation.

This is a convenience which creates an instance of the ListModelCardVersionsRequest.Builder avoiding the need to create one manually via ListModelCardVersionsRequest.builder()

Parameters:

listModelCardVersionsRequest - A Consumer that will call methods on ListModelCardVersionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelCards

default ListModelCardsResponse listModelCards(ListModelCardsRequest listModelCardsRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

List existing model cards.

Parameters:

listModelCardsRequest -

Returns:

Result of the ListModelCards operation returned by the service.

See Also:

• AWS API Documentation

listModelCards

default ListModelCardsResponse listModelCards(Consumer<ListModelCardsRequest.Builder> listModelCardsRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

List existing model cards.

This is a convenience which creates an instance of the ListModelCardsRequest.Builder avoiding the need to create one manually via ListModelCardsRequest.builder()

Parameters:

listModelCardsRequest - A Consumer that will call methods on ListModelCardsRequest.Builder to create a request.

Returns:

Result of the ListModelCards operation returned by the service.

See Also:

• AWS API Documentation

listModelCardsPaginator

default ListModelCardsIterable listModelCardsPaginator(ListModelCardsRequest listModelCardsRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelCards(software.amazon.awssdk.services.sagemaker.model.ListModelCardsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardsIterable responses = client.listModelCardsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelCardsIterable responses = client
             .listModelCardsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelCardsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardsIterable responses = client.listModelCardsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelCards(software.amazon.awssdk.services.sagemaker.model.ListModelCardsRequest) operation.

Parameters:

listModelCardsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelCardsPaginator

default ListModelCardsIterable listModelCardsPaginator(Consumer<ListModelCardsRequest.Builder> listModelCardsRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelCards(software.amazon.awssdk.services.sagemaker.model.ListModelCardsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardsIterable responses = client.listModelCardsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelCardsIterable responses = client
             .listModelCardsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelCardsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelCardsIterable responses = client.listModelCardsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelCards(software.amazon.awssdk.services.sagemaker.model.ListModelCardsRequest) operation.

This is a convenience which creates an instance of the ListModelCardsRequest.Builder avoiding the need to create one manually via ListModelCardsRequest.builder()

Parameters:

listModelCardsRequest - A Consumer that will call methods on ListModelCardsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelExplainabilityJobDefinitions

default ListModelExplainabilityJobDefinitionsResponse listModelExplainabilityJobDefinitions(ListModelExplainabilityJobDefinitionsRequest listModelExplainabilityJobDefinitionsRequest)
                                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists model explainability job definitions that satisfy various filters.

Parameters:

listModelExplainabilityJobDefinitionsRequest -

Returns:

Result of the ListModelExplainabilityJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listModelExplainabilityJobDefinitions

default ListModelExplainabilityJobDefinitionsResponse listModelExplainabilityJobDefinitions(Consumer<ListModelExplainabilityJobDefinitionsRequest.Builder> listModelExplainabilityJobDefinitionsRequest)
                                                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Lists model explainability job definitions that satisfy various filters.

This is a convenience which creates an instance of the ListModelExplainabilityJobDefinitionsRequest.Builder avoiding the need to create one manually via ListModelExplainabilityJobDefinitionsRequest.builder()

Parameters:

listModelExplainabilityJobDefinitionsRequest - A Consumer that will call methods on ListModelExplainabilityJobDefinitionsRequest.Builder to create a request.

Returns:

Result of the ListModelExplainabilityJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listModelExplainabilityJobDefinitionsPaginator

default ListModelExplainabilityJobDefinitionsIterable listModelExplainabilityJobDefinitionsPaginator(ListModelExplainabilityJobDefinitionsRequest listModelExplainabilityJobDefinitionsRequest)
                                                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelExplainabilityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelExplainabilityJobDefinitionsIterable responses = client.listModelExplainabilityJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelExplainabilityJobDefinitionsIterable responses = client
             .listModelExplainabilityJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelExplainabilityJobDefinitionsIterable responses = client.listModelExplainabilityJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelExplainabilityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest) operation.

Parameters:

listModelExplainabilityJobDefinitionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelExplainabilityJobDefinitionsPaginator

default ListModelExplainabilityJobDefinitionsIterable listModelExplainabilityJobDefinitionsPaginator(Consumer<ListModelExplainabilityJobDefinitionsRequest.Builder> listModelExplainabilityJobDefinitionsRequest)
                                                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelExplainabilityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelExplainabilityJobDefinitionsIterable responses = client.listModelExplainabilityJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelExplainabilityJobDefinitionsIterable responses = client
             .listModelExplainabilityJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelExplainabilityJobDefinitionsIterable responses = client.listModelExplainabilityJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelExplainabilityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelExplainabilityJobDefinitionsRequest) operation.

This is a convenience which creates an instance of the ListModelExplainabilityJobDefinitionsRequest.Builder avoiding the need to create one manually via ListModelExplainabilityJobDefinitionsRequest.builder()

Parameters:

listModelExplainabilityJobDefinitionsRequest - A Consumer that will call methods on ListModelExplainabilityJobDefinitionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelMetadata

default ListModelMetadataResponse listModelMetadata(ListModelMetadataRequest listModelMetadataRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.

Parameters:

listModelMetadataRequest -

Returns:

Result of the ListModelMetadata operation returned by the service.

See Also:

• AWS API Documentation

listModelMetadata

default ListModelMetadataResponse listModelMetadata(Consumer<ListModelMetadataRequest.Builder> listModelMetadataRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.

This is a convenience which creates an instance of the ListModelMetadataRequest.Builder avoiding the need to create one manually via ListModelMetadataRequest.builder()

Parameters:

listModelMetadataRequest - A Consumer that will call methods on ListModelMetadataRequest.Builder to create a request.

Returns:

Result of the ListModelMetadata operation returned by the service.

See Also:

• AWS API Documentation

listModelMetadataPaginator

default ListModelMetadataIterable listModelMetadataPaginator(ListModelMetadataRequest listModelMetadataRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelMetadata(software.amazon.awssdk.services.sagemaker.model.ListModelMetadataRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelMetadataIterable responses = client.listModelMetadataPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelMetadataIterable responses = client
             .listModelMetadataPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelMetadataResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelMetadataIterable responses = client.listModelMetadataPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelMetadata(software.amazon.awssdk.services.sagemaker.model.ListModelMetadataRequest) operation.

Parameters:

listModelMetadataRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelMetadataPaginator

default ListModelMetadataIterable listModelMetadataPaginator(Consumer<ListModelMetadataRequest.Builder> listModelMetadataRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelMetadata(software.amazon.awssdk.services.sagemaker.model.ListModelMetadataRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelMetadataIterable responses = client.listModelMetadataPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelMetadataIterable responses = client
             .listModelMetadataPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelMetadataResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelMetadataIterable responses = client.listModelMetadataPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelMetadata(software.amazon.awssdk.services.sagemaker.model.ListModelMetadataRequest) operation.

This is a convenience which creates an instance of the ListModelMetadataRequest.Builder avoiding the need to create one manually via ListModelMetadataRequest.builder()

Parameters:

listModelMetadataRequest - A Consumer that will call methods on ListModelMetadataRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelPackageGroups

default ListModelPackageGroupsResponse listModelPackageGroups(ListModelPackageGroupsRequest listModelPackageGroupsRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the model groups in your Amazon Web Services account.

Parameters:

listModelPackageGroupsRequest -

Returns:

Result of the ListModelPackageGroups operation returned by the service.

See Also:

• AWS API Documentation

listModelPackageGroups

default ListModelPackageGroupsResponse listModelPackageGroups(Consumer<ListModelPackageGroupsRequest.Builder> listModelPackageGroupsRequest)
                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the model groups in your Amazon Web Services account.

This is a convenience which creates an instance of the ListModelPackageGroupsRequest.Builder avoiding the need to create one manually via ListModelPackageGroupsRequest.builder()

Parameters:

listModelPackageGroupsRequest - A Consumer that will call methods on ListModelPackageGroupsRequest.Builder to create a request.

Returns:

Result of the ListModelPackageGroups operation returned by the service.

See Also:

• AWS API Documentation

listModelPackageGroupsPaginator

default ListModelPackageGroupsIterable listModelPackageGroupsPaginator(ListModelPackageGroupsRequest listModelPackageGroupsRequest)
                                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelPackageGroups(software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackageGroupsIterable responses = client.listModelPackageGroupsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelPackageGroupsIterable responses = client
             .listModelPackageGroupsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackageGroupsIterable responses = client.listModelPackageGroupsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelPackageGroups(software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsRequest) operation.

Parameters:

listModelPackageGroupsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelPackageGroupsPaginator

default ListModelPackageGroupsIterable listModelPackageGroupsPaginator(Consumer<ListModelPackageGroupsRequest.Builder> listModelPackageGroupsRequest)
                                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelPackageGroups(software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackageGroupsIterable responses = client.listModelPackageGroupsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelPackageGroupsIterable responses = client
             .listModelPackageGroupsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackageGroupsIterable responses = client.listModelPackageGroupsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelPackageGroups(software.amazon.awssdk.services.sagemaker.model.ListModelPackageGroupsRequest) operation.

This is a convenience which creates an instance of the ListModelPackageGroupsRequest.Builder avoiding the need to create one manually via ListModelPackageGroupsRequest.builder()

Parameters:

listModelPackageGroupsRequest - A Consumer that will call methods on ListModelPackageGroupsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelPackages

default ListModelPackagesResponse listModelPackages(ListModelPackagesRequest listModelPackagesRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the model packages that have been created.

Parameters:

listModelPackagesRequest -

Returns:

Result of the ListModelPackages operation returned by the service.

See Also:

• AWS API Documentation

listModelPackages

default ListModelPackagesResponse listModelPackages(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listModelPackagesRequest - A Consumer that will call methods on ListModelPackagesRequest.Builder to create a request.

Returns:

Result of the ListModelPackages operation returned by the service.

See Also:

• AWS API Documentation

listModelPackages

default ListModelPackagesResponse listModelPackages()
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the model packages that have been created.

Returns:

Result of the ListModelPackages operation returned by the service.

See Also:

• listModelPackages(ListModelPackagesRequest)
• AWS API Documentation

listModelPackagesPaginator

default ListModelPackagesIterable listModelPackagesPaginator()
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client.listModelPackagesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client
             .listModelPackagesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client.listModelPackagesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listModelPackagesPaginator(ListModelPackagesRequest)
• AWS API Documentation

listModelPackagesPaginator

default ListModelPackagesIterable listModelPackagesPaginator(ListModelPackagesRequest listModelPackagesRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client.listModelPackagesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client
             .listModelPackagesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client.listModelPackagesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.

Parameters:

listModelPackagesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelPackagesPaginator

default ListModelPackagesIterable listModelPackagesPaginator(Consumer<ListModelPackagesRequest.Builder> listModelPackagesRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client.listModelPackagesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client
             .listModelPackagesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelPackagesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelPackagesIterable responses = client.listModelPackagesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelPackages(software.amazon.awssdk.services.sagemaker.model.ListModelPackagesRequest) operation.

This is a convenience which creates an instance of the ListModelPackagesRequest.Builder avoiding the need to create one manually via ListModelPackagesRequest.builder()

Parameters:

listModelPackagesRequest - A Consumer that will call methods on ListModelPackagesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelQualityJobDefinitions

default ListModelQualityJobDefinitionsResponse listModelQualityJobDefinitions(ListModelQualityJobDefinitionsRequest listModelQualityJobDefinitionsRequest)
                                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of model quality monitoring job definitions in your account.

Parameters:

listModelQualityJobDefinitionsRequest -

Returns:

Result of the ListModelQualityJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listModelQualityJobDefinitions

default ListModelQualityJobDefinitionsResponse listModelQualityJobDefinitions(Consumer<ListModelQualityJobDefinitionsRequest.Builder> listModelQualityJobDefinitionsRequest)
                                                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of model quality monitoring job definitions in your account.

This is a convenience which creates an instance of the ListModelQualityJobDefinitionsRequest.Builder avoiding the need to create one manually via ListModelQualityJobDefinitionsRequest.builder()

Parameters:

listModelQualityJobDefinitionsRequest - A Consumer that will call methods on ListModelQualityJobDefinitionsRequest.Builder to create a request.

Returns:

Result of the ListModelQualityJobDefinitions operation returned by the service.

See Also:

• AWS API Documentation

listModelQualityJobDefinitionsPaginator

default ListModelQualityJobDefinitionsIterable listModelQualityJobDefinitionsPaginator(ListModelQualityJobDefinitionsRequest listModelQualityJobDefinitionsRequest)
                                                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelQualityJobDefinitionsIterable responses = client.listModelQualityJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelQualityJobDefinitionsIterable responses = client
             .listModelQualityJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelQualityJobDefinitionsIterable responses = client.listModelQualityJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsRequest) operation.

Parameters:

listModelQualityJobDefinitionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelQualityJobDefinitionsPaginator

default ListModelQualityJobDefinitionsIterable listModelQualityJobDefinitionsPaginator(Consumer<ListModelQualityJobDefinitionsRequest.Builder> listModelQualityJobDefinitionsRequest)
                                                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModelQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelQualityJobDefinitionsIterable responses = client.listModelQualityJobDefinitionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelQualityJobDefinitionsIterable responses = client
             .listModelQualityJobDefinitionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelQualityJobDefinitionsIterable responses = client.listModelQualityJobDefinitionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModelQualityJobDefinitions(software.amazon.awssdk.services.sagemaker.model.ListModelQualityJobDefinitionsRequest) operation.

This is a convenience which creates an instance of the ListModelQualityJobDefinitionsRequest.Builder avoiding the need to create one manually via ListModelQualityJobDefinitionsRequest.builder()

Parameters:

listModelQualityJobDefinitionsRequest - A Consumer that will call methods on ListModelQualityJobDefinitionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModels

default ListModelsResponse listModels(ListModelsRequest listModelsRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists models created with the CreateModel API.

Parameters:

listModelsRequest -

Returns:

Result of the ListModels operation returned by the service.

See Also:

• AWS API Documentation

listModels

default ListModelsResponse listModels(Consumer<ListModelsRequest.Builder> listModelsRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listModelsRequest - A Consumer that will call methods on ListModelsRequest.Builder to create a request.

Returns:

Result of the ListModels operation returned by the service.

See Also:

• AWS API Documentation

listModels

default ListModelsResponse listModels()
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists models created with the CreateModel API.

Returns:

Result of the ListModels operation returned by the service.

See Also:

• listModels(ListModelsRequest)
• AWS API Documentation

listModelsPaginator

default ListModelsIterable listModelsPaginator()
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listModelsPaginator(ListModelsRequest)
• AWS API Documentation

listModelsPaginator

default ListModelsIterable listModelsPaginator(ListModelsRequest listModelsRequest)
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation.

Parameters:

listModelsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listModelsPaginator

default ListModelsIterable listModelsPaginator(Consumer<ListModelsRequest.Builder> listModelsRequest)
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listModels(software.amazon.awssdk.services.sagemaker.model.ListModelsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListModelsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListModelsIterable responses = client.listModelsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listModelsRequest - A Consumer that will call methods on ListModelsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringAlertHistory

default ListMonitoringAlertHistoryResponse listMonitoringAlertHistory(ListMonitoringAlertHistoryRequest listMonitoringAlertHistoryRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of past alerts in a model monitoring schedule.

Parameters:

listMonitoringAlertHistoryRequest -

Returns:

Result of the ListMonitoringAlertHistory operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringAlertHistory

default ListMonitoringAlertHistoryResponse listMonitoringAlertHistory(Consumer<ListMonitoringAlertHistoryRequest.Builder> listMonitoringAlertHistoryRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of past alerts in a model monitoring schedule.

This is a convenience which creates an instance of the ListMonitoringAlertHistoryRequest.Builder avoiding the need to create one manually via ListMonitoringAlertHistoryRequest.builder()

Parameters:

listMonitoringAlertHistoryRequest - A Consumer that will call methods on ListMonitoringAlertHistoryRequest.Builder to create a request.

Returns:

Result of the ListMonitoringAlertHistory operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringAlertHistoryPaginator

default ListMonitoringAlertHistoryIterable listMonitoringAlertHistoryPaginator(ListMonitoringAlertHistoryRequest listMonitoringAlertHistoryRequest)
                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringAlertHistory(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertHistoryIterable responses = client.listMonitoringAlertHistoryPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertHistoryIterable responses = client
             .listMonitoringAlertHistoryPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertHistoryIterable responses = client.listMonitoringAlertHistoryPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringAlertHistory(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryRequest) operation.

Parameters:

listMonitoringAlertHistoryRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringAlertHistoryPaginator

default ListMonitoringAlertHistoryIterable listMonitoringAlertHistoryPaginator(Consumer<ListMonitoringAlertHistoryRequest.Builder> listMonitoringAlertHistoryRequest)
                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringAlertHistory(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertHistoryIterable responses = client.listMonitoringAlertHistoryPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertHistoryIterable responses = client
             .listMonitoringAlertHistoryPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertHistoryIterable responses = client.listMonitoringAlertHistoryPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringAlertHistory(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertHistoryRequest) operation.

This is a convenience which creates an instance of the ListMonitoringAlertHistoryRequest.Builder avoiding the need to create one manually via ListMonitoringAlertHistoryRequest.builder()

Parameters:

listMonitoringAlertHistoryRequest - A Consumer that will call methods on ListMonitoringAlertHistoryRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringAlerts

default ListMonitoringAlertsResponse listMonitoringAlerts(ListMonitoringAlertsRequest listMonitoringAlertsRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets the alerts for a single monitoring schedule.

Parameters:

listMonitoringAlertsRequest -

Returns:

Result of the ListMonitoringAlerts operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringAlerts

default ListMonitoringAlertsResponse listMonitoringAlerts(Consumer<ListMonitoringAlertsRequest.Builder> listMonitoringAlertsRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets the alerts for a single monitoring schedule.

This is a convenience which creates an instance of the ListMonitoringAlertsRequest.Builder avoiding the need to create one manually via ListMonitoringAlertsRequest.builder()

Parameters:

listMonitoringAlertsRequest - A Consumer that will call methods on ListMonitoringAlertsRequest.Builder to create a request.

Returns:

Result of the ListMonitoringAlerts operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringAlertsPaginator

default ListMonitoringAlertsIterable listMonitoringAlertsPaginator(ListMonitoringAlertsRequest listMonitoringAlertsRequest)
                                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringAlerts(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertsIterable responses = client.listMonitoringAlertsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertsIterable responses = client
             .listMonitoringAlertsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertsIterable responses = client.listMonitoringAlertsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringAlerts(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsRequest) operation.

Parameters:

listMonitoringAlertsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringAlertsPaginator

default ListMonitoringAlertsIterable listMonitoringAlertsPaginator(Consumer<ListMonitoringAlertsRequest.Builder> listMonitoringAlertsRequest)
                                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringAlerts(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertsIterable responses = client.listMonitoringAlertsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertsIterable responses = client
             .listMonitoringAlertsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringAlertsIterable responses = client.listMonitoringAlertsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringAlerts(software.amazon.awssdk.services.sagemaker.model.ListMonitoringAlertsRequest) operation.

This is a convenience which creates an instance of the ListMonitoringAlertsRequest.Builder avoiding the need to create one manually via ListMonitoringAlertsRequest.builder()

Parameters:

listMonitoringAlertsRequest - A Consumer that will call methods on ListMonitoringAlertsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringExecutions

default ListMonitoringExecutionsResponse listMonitoringExecutions(ListMonitoringExecutionsRequest listMonitoringExecutionsRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns list of all monitoring job executions.

Parameters:

listMonitoringExecutionsRequest -

Returns:

Result of the ListMonitoringExecutions operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringExecutions

default ListMonitoringExecutionsResponse listMonitoringExecutions(Consumer<ListMonitoringExecutionsRequest.Builder> listMonitoringExecutionsRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns list of all monitoring job executions.

This is a convenience which creates an instance of the ListMonitoringExecutionsRequest.Builder avoiding the need to create one manually via ListMonitoringExecutionsRequest.builder()

Parameters:

listMonitoringExecutionsRequest - A Consumer that will call methods on ListMonitoringExecutionsRequest.Builder to create a request.

Returns:

Result of the ListMonitoringExecutions operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringExecutionsPaginator

default ListMonitoringExecutionsIterable listMonitoringExecutionsPaginator(ListMonitoringExecutionsRequest listMonitoringExecutionsRequest)
                                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsIterable responses = client.listMonitoringExecutionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsIterable responses = client
             .listMonitoringExecutionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsIterable responses = client.listMonitoringExecutionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest) operation.

Parameters:

listMonitoringExecutionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringExecutionsPaginator

default ListMonitoringExecutionsIterable listMonitoringExecutionsPaginator(Consumer<ListMonitoringExecutionsRequest.Builder> listMonitoringExecutionsRequest)
                                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsIterable responses = client.listMonitoringExecutionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsIterable responses = client
             .listMonitoringExecutionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringExecutionsIterable responses = client.listMonitoringExecutionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringExecutions(software.amazon.awssdk.services.sagemaker.model.ListMonitoringExecutionsRequest) operation.

This is a convenience which creates an instance of the ListMonitoringExecutionsRequest.Builder avoiding the need to create one manually via ListMonitoringExecutionsRequest.builder()

Parameters:

listMonitoringExecutionsRequest - A Consumer that will call methods on ListMonitoringExecutionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringSchedules

default ListMonitoringSchedulesResponse listMonitoringSchedules(ListMonitoringSchedulesRequest listMonitoringSchedulesRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Returns list of all monitoring schedules.

Parameters:

listMonitoringSchedulesRequest -

Returns:

Result of the ListMonitoringSchedules operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringSchedules

default ListMonitoringSchedulesResponse listMonitoringSchedules(Consumer<ListMonitoringSchedulesRequest.Builder> listMonitoringSchedulesRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Returns list of all monitoring schedules.

This is a convenience which creates an instance of the ListMonitoringSchedulesRequest.Builder avoiding the need to create one manually via ListMonitoringSchedulesRequest.builder()

Parameters:

listMonitoringSchedulesRequest - A Consumer that will call methods on ListMonitoringSchedulesRequest.Builder to create a request.

Returns:

Result of the ListMonitoringSchedules operation returned by the service.

See Also:

• AWS API Documentation

listMonitoringSchedulesPaginator

default ListMonitoringSchedulesIterable listMonitoringSchedulesPaginator(ListMonitoringSchedulesRequest listMonitoringSchedulesRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesIterable responses = client.listMonitoringSchedulesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesIterable responses = client
             .listMonitoringSchedulesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesIterable responses = client.listMonitoringSchedulesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest) operation.

Parameters:

listMonitoringSchedulesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listMonitoringSchedulesPaginator

default ListMonitoringSchedulesIterable listMonitoringSchedulesPaginator(Consumer<ListMonitoringSchedulesRequest.Builder> listMonitoringSchedulesRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesIterable responses = client.listMonitoringSchedulesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesIterable responses = client
             .listMonitoringSchedulesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListMonitoringSchedulesIterable responses = client.listMonitoringSchedulesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listMonitoringSchedules(software.amazon.awssdk.services.sagemaker.model.ListMonitoringSchedulesRequest) operation.

This is a convenience which creates an instance of the ListMonitoringSchedulesRequest.Builder avoiding the need to create one manually via ListMonitoringSchedulesRequest.builder()

Parameters:

listMonitoringSchedulesRequest - A Consumer that will call methods on ListMonitoringSchedulesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listNotebookInstanceLifecycleConfigs

default ListNotebookInstanceLifecycleConfigsResponse listNotebookInstanceLifecycleConfigs(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
                                                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.

Parameters:

listNotebookInstanceLifecycleConfigsRequest -

Returns:

Result of the ListNotebookInstanceLifecycleConfigs operation returned by the service.

See Also:

• AWS API Documentation

listNotebookInstanceLifecycleConfigs

default ListNotebookInstanceLifecycleConfigsResponse listNotebookInstanceLifecycleConfigs(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
                                                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listNotebookInstanceLifecycleConfigsRequest - A Consumer that will call methods on ListNotebookInstanceLifecycleConfigsRequest.Builder to create a request.

Returns:

Result of the ListNotebookInstanceLifecycleConfigs operation returned by the service.

See Also:

• AWS API Documentation

listNotebookInstanceLifecycleConfigs

default ListNotebookInstanceLifecycleConfigsResponse listNotebookInstanceLifecycleConfigs()
                                                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.

Returns:

Result of the ListNotebookInstanceLifecycleConfigs operation returned by the service.

See Also:

• listNotebookInstanceLifecycleConfigs(ListNotebookInstanceLifecycleConfigsRequest)
• AWS API Documentation

listNotebookInstanceLifecycleConfigsPaginator

default ListNotebookInstanceLifecycleConfigsIterable listNotebookInstanceLifecycleConfigsPaginator()
                                                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client.listNotebookInstanceLifecycleConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client
             .listNotebookInstanceLifecycleConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client.listNotebookInstanceLifecycleConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listNotebookInstanceLifecycleConfigsPaginator(ListNotebookInstanceLifecycleConfigsRequest)
• AWS API Documentation

listNotebookInstanceLifecycleConfigsPaginator

default ListNotebookInstanceLifecycleConfigsIterable listNotebookInstanceLifecycleConfigsPaginator(ListNotebookInstanceLifecycleConfigsRequest listNotebookInstanceLifecycleConfigsRequest)
                                                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client.listNotebookInstanceLifecycleConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client
             .listNotebookInstanceLifecycleConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client.listNotebookInstanceLifecycleConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation.

Parameters:

listNotebookInstanceLifecycleConfigsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listNotebookInstanceLifecycleConfigsPaginator

default ListNotebookInstanceLifecycleConfigsIterable listNotebookInstanceLifecycleConfigsPaginator(Consumer<ListNotebookInstanceLifecycleConfigsRequest.Builder> listNotebookInstanceLifecycleConfigsRequest)
                                                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listNotebookInstanceLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client.listNotebookInstanceLifecycleConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client
             .listNotebookInstanceLifecycleConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListNotebookInstanceLifecycleConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstanceLifecycleConfigsIterable responses = client.listNotebookInstanceLifecycleConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listNotebookInstanceLifecycleConfigsRequest - A Consumer that will call methods on ListNotebookInstanceLifecycleConfigsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listNotebookInstances

default ListNotebookInstancesResponse listNotebookInstances(ListNotebookInstancesRequest listNotebookInstancesRequest)
                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.

Parameters:

listNotebookInstancesRequest -

Returns:

Result of the ListNotebookInstances operation returned by the service.

See Also:

• AWS API Documentation

listNotebookInstances

default ListNotebookInstancesResponse listNotebookInstances(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.

This is a convenience which creates an instance of the ListNotebookInstancesRequest.Builder avoiding the need to create one manually via ListNotebookInstancesRequest.builder()

Parameters:

listNotebookInstancesRequest - A Consumer that will call methods on ListNotebookInstancesRequest.Builder to create a request.

Returns:

Result of the ListNotebookInstances operation returned by the service.

See Also:

• AWS API Documentation

listNotebookInstances

default ListNotebookInstancesResponse listNotebookInstances()
                                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Returns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.

Returns:

Result of the ListNotebookInstances operation returned by the service.

See Also:

• listNotebookInstances(ListNotebookInstancesRequest)
• AWS API Documentation

listNotebookInstancesPaginator

default ListNotebookInstancesIterable listNotebookInstancesPaginator()
                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client.listNotebookInstancesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client
             .listNotebookInstancesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client.listNotebookInstancesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listNotebookInstancesPaginator(ListNotebookInstancesRequest)
• AWS API Documentation

listNotebookInstancesPaginator

default ListNotebookInstancesIterable listNotebookInstancesPaginator(ListNotebookInstancesRequest listNotebookInstancesRequest)
                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client.listNotebookInstancesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client
             .listNotebookInstancesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client.listNotebookInstancesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation.

Parameters:

listNotebookInstancesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listNotebookInstancesPaginator

default ListNotebookInstancesIterable listNotebookInstancesPaginator(Consumer<ListNotebookInstancesRequest.Builder> listNotebookInstancesRequest)
                                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listNotebookInstances(software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client.listNotebookInstancesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client
             .listNotebookInstancesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListNotebookInstancesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListNotebookInstancesIterable responses = client.listNotebookInstancesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listNotebookInstancesRequest - A Consumer that will call methods on ListNotebookInstancesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listOptimizationJobs

default ListOptimizationJobsResponse listOptimizationJobs(ListOptimizationJobsRequest listOptimizationJobsRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the optimization jobs in your account and their properties.

Parameters:

listOptimizationJobsRequest -

Returns:

Result of the ListOptimizationJobs operation returned by the service.

See Also:

• AWS API Documentation

listOptimizationJobs

default ListOptimizationJobsResponse listOptimizationJobs(Consumer<ListOptimizationJobsRequest.Builder> listOptimizationJobsRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Lists the optimization jobs in your account and their properties.

This is a convenience which creates an instance of the ListOptimizationJobsRequest.Builder avoiding the need to create one manually via ListOptimizationJobsRequest.builder()

Parameters:

listOptimizationJobsRequest - A Consumer that will call methods on ListOptimizationJobsRequest.Builder to create a request.

Returns:

Result of the ListOptimizationJobs operation returned by the service.

See Also:

• AWS API Documentation

listOptimizationJobsPaginator

default ListOptimizationJobsIterable listOptimizationJobsPaginator(ListOptimizationJobsRequest listOptimizationJobsRequest)
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listOptimizationJobs(software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListOptimizationJobsIterable responses = client.listOptimizationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListOptimizationJobsIterable responses = client
             .listOptimizationJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListOptimizationJobsIterable responses = client.listOptimizationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listOptimizationJobs(software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsRequest) operation.

Parameters:

listOptimizationJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listOptimizationJobsPaginator

default ListOptimizationJobsIterable listOptimizationJobsPaginator(Consumer<ListOptimizationJobsRequest.Builder> listOptimizationJobsRequest)
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listOptimizationJobs(software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListOptimizationJobsIterable responses = client.listOptimizationJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListOptimizationJobsIterable responses = client
             .listOptimizationJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListOptimizationJobsIterable responses = client.listOptimizationJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listOptimizationJobs(software.amazon.awssdk.services.sagemaker.model.ListOptimizationJobsRequest) operation.

This is a convenience which creates an instance of the ListOptimizationJobsRequest.Builder avoiding the need to create one manually via ListOptimizationJobsRequest.builder()

Parameters:

listOptimizationJobsRequest - A Consumer that will call methods on ListOptimizationJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPartnerApps

default ListPartnerAppsResponse listPartnerApps(ListPartnerAppsRequest listPartnerAppsRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all of the SageMaker Partner AI Apps in an account.

Parameters:

listPartnerAppsRequest -

Returns:

Result of the ListPartnerApps operation returned by the service.

See Also:

• AWS API Documentation

listPartnerApps

default ListPartnerAppsResponse listPartnerApps(Consumer<ListPartnerAppsRequest.Builder> listPartnerAppsRequest)
                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Lists all of the SageMaker Partner AI Apps in an account.

This is a convenience which creates an instance of the ListPartnerAppsRequest.Builder avoiding the need to create one manually via ListPartnerAppsRequest.builder()

Parameters:

listPartnerAppsRequest - A Consumer that will call methods on ListPartnerAppsRequest.Builder to create a request.

Returns:

Result of the ListPartnerApps operation returned by the service.

See Also:

• AWS API Documentation

listPartnerAppsPaginator

default ListPartnerAppsIterable listPartnerAppsPaginator(ListPartnerAppsRequest listPartnerAppsRequest)
                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPartnerApps(software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPartnerAppsIterable responses = client.listPartnerAppsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPartnerAppsIterable responses = client
             .listPartnerAppsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPartnerAppsIterable responses = client.listPartnerAppsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPartnerApps(software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsRequest) operation.

Parameters:

listPartnerAppsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPartnerAppsPaginator

default ListPartnerAppsIterable listPartnerAppsPaginator(Consumer<ListPartnerAppsRequest.Builder> listPartnerAppsRequest)
                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPartnerApps(software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPartnerAppsIterable responses = client.listPartnerAppsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPartnerAppsIterable responses = client
             .listPartnerAppsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPartnerAppsIterable responses = client.listPartnerAppsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPartnerApps(software.amazon.awssdk.services.sagemaker.model.ListPartnerAppsRequest) operation.

This is a convenience which creates an instance of the ListPartnerAppsRequest.Builder avoiding the need to create one manually via ListPartnerAppsRequest.builder()

Parameters:

listPartnerAppsRequest - A Consumer that will call methods on ListPartnerAppsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineExecutionSteps

default ListPipelineExecutionStepsResponse listPipelineExecutionSteps(ListPipelineExecutionStepsRequest listPipelineExecutionStepsRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of PipeLineExecutionStep objects.

Parameters:

listPipelineExecutionStepsRequest -

Returns:

Result of the ListPipelineExecutionSteps operation returned by the service.

See Also:

• AWS API Documentation

listPipelineExecutionSteps

default ListPipelineExecutionStepsResponse listPipelineExecutionSteps(Consumer<ListPipelineExecutionStepsRequest.Builder> listPipelineExecutionStepsRequest)
                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of PipeLineExecutionStep objects.

This is a convenience which creates an instance of the ListPipelineExecutionStepsRequest.Builder avoiding the need to create one manually via ListPipelineExecutionStepsRequest.builder()

Parameters:

listPipelineExecutionStepsRequest - A Consumer that will call methods on ListPipelineExecutionStepsRequest.Builder to create a request.

Returns:

Result of the ListPipelineExecutionSteps operation returned by the service.

See Also:

• AWS API Documentation

listPipelineExecutionStepsPaginator

default ListPipelineExecutionStepsIterable listPipelineExecutionStepsPaginator(ListPipelineExecutionStepsRequest listPipelineExecutionStepsRequest)
                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineExecutionSteps(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionStepsIterable responses = client.listPipelineExecutionStepsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionStepsIterable responses = client
             .listPipelineExecutionStepsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionStepsIterable responses = client.listPipelineExecutionStepsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineExecutionSteps(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsRequest) operation.

Parameters:

listPipelineExecutionStepsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineExecutionStepsPaginator

default ListPipelineExecutionStepsIterable listPipelineExecutionStepsPaginator(Consumer<ListPipelineExecutionStepsRequest.Builder> listPipelineExecutionStepsRequest)
                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineExecutionSteps(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionStepsIterable responses = client.listPipelineExecutionStepsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionStepsIterable responses = client
             .listPipelineExecutionStepsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionStepsIterable responses = client.listPipelineExecutionStepsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineExecutionSteps(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionStepsRequest) operation.

This is a convenience which creates an instance of the ListPipelineExecutionStepsRequest.Builder avoiding the need to create one manually via ListPipelineExecutionStepsRequest.builder()

Parameters:

listPipelineExecutionStepsRequest - A Consumer that will call methods on ListPipelineExecutionStepsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineExecutions

default ListPipelineExecutionsResponse listPipelineExecutions(ListPipelineExecutionsRequest listPipelineExecutionsRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the pipeline executions.

Parameters:

listPipelineExecutionsRequest -

Returns:

Result of the ListPipelineExecutions operation returned by the service.

See Also:

• AWS API Documentation

listPipelineExecutions

default ListPipelineExecutionsResponse listPipelineExecutions(Consumer<ListPipelineExecutionsRequest.Builder> listPipelineExecutionsRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the pipeline executions.

This is a convenience which creates an instance of the ListPipelineExecutionsRequest.Builder avoiding the need to create one manually via ListPipelineExecutionsRequest.builder()

Parameters:

listPipelineExecutionsRequest - A Consumer that will call methods on ListPipelineExecutionsRequest.Builder to create a request.

Returns:

Result of the ListPipelineExecutions operation returned by the service.

See Also:

• AWS API Documentation

listPipelineExecutionsPaginator

default ListPipelineExecutionsIterable listPipelineExecutionsPaginator(ListPipelineExecutionsRequest listPipelineExecutionsRequest)
                                                                throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineExecutions(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionsIterable responses = client.listPipelineExecutionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionsIterable responses = client
             .listPipelineExecutionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionsIterable responses = client.listPipelineExecutionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineExecutions(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsRequest) operation.

Parameters:

listPipelineExecutionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineExecutionsPaginator

default ListPipelineExecutionsIterable listPipelineExecutionsPaginator(Consumer<ListPipelineExecutionsRequest.Builder> listPipelineExecutionsRequest)
                                                                throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineExecutions(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionsIterable responses = client.listPipelineExecutionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionsIterable responses = client
             .listPipelineExecutionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineExecutionsIterable responses = client.listPipelineExecutionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineExecutions(software.amazon.awssdk.services.sagemaker.model.ListPipelineExecutionsRequest) operation.

This is a convenience which creates an instance of the ListPipelineExecutionsRequest.Builder avoiding the need to create one manually via ListPipelineExecutionsRequest.builder()

Parameters:

listPipelineExecutionsRequest - A Consumer that will call methods on ListPipelineExecutionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineParametersForExecution

default ListPipelineParametersForExecutionResponse listPipelineParametersForExecution(ListPipelineParametersForExecutionRequest listPipelineParametersForExecutionRequest)
                                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of parameters for a pipeline execution.

Parameters:

listPipelineParametersForExecutionRequest -

Returns:

Result of the ListPipelineParametersForExecution operation returned by the service.

See Also:

• AWS API Documentation

listPipelineParametersForExecution

default ListPipelineParametersForExecutionResponse listPipelineParametersForExecution(Consumer<ListPipelineParametersForExecutionRequest.Builder> listPipelineParametersForExecutionRequest)
                                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of parameters for a pipeline execution.

This is a convenience which creates an instance of the ListPipelineParametersForExecutionRequest.Builder avoiding the need to create one manually via ListPipelineParametersForExecutionRequest.builder()

Parameters:

listPipelineParametersForExecutionRequest - A Consumer that will call methods on ListPipelineParametersForExecutionRequest.Builder to create a request.

Returns:

Result of the ListPipelineParametersForExecution operation returned by the service.

See Also:

• AWS API Documentation

listPipelineParametersForExecutionPaginator

default ListPipelineParametersForExecutionIterable listPipelineParametersForExecutionPaginator(ListPipelineParametersForExecutionRequest listPipelineParametersForExecutionRequest)
                                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineParametersForExecution(software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineParametersForExecutionIterable responses = client.listPipelineParametersForExecutionPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineParametersForExecutionIterable responses = client
             .listPipelineParametersForExecutionPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineParametersForExecutionIterable responses = client.listPipelineParametersForExecutionPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineParametersForExecution(software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionRequest) operation.

Parameters:

listPipelineParametersForExecutionRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineParametersForExecutionPaginator

default ListPipelineParametersForExecutionIterable listPipelineParametersForExecutionPaginator(Consumer<ListPipelineParametersForExecutionRequest.Builder> listPipelineParametersForExecutionRequest)
                                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineParametersForExecution(software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineParametersForExecutionIterable responses = client.listPipelineParametersForExecutionPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineParametersForExecutionIterable responses = client
             .listPipelineParametersForExecutionPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineParametersForExecutionIterable responses = client.listPipelineParametersForExecutionPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineParametersForExecution(software.amazon.awssdk.services.sagemaker.model.ListPipelineParametersForExecutionRequest) operation.

This is a convenience which creates an instance of the ListPipelineParametersForExecutionRequest.Builder avoiding the need to create one manually via ListPipelineParametersForExecutionRequest.builder()

Parameters:

listPipelineParametersForExecutionRequest - A Consumer that will call methods on ListPipelineParametersForExecutionRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineVersions

default ListPipelineVersionsResponse listPipelineVersions(ListPipelineVersionsRequest listPipelineVersionsRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of all versions of the pipeline.

Parameters:

listPipelineVersionsRequest -

Returns:

Result of the ListPipelineVersions operation returned by the service.

See Also:

• AWS API Documentation

listPipelineVersions

default ListPipelineVersionsResponse listPipelineVersions(Consumer<ListPipelineVersionsRequest.Builder> listPipelineVersionsRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of all versions of the pipeline.

This is a convenience which creates an instance of the ListPipelineVersionsRequest.Builder avoiding the need to create one manually via ListPipelineVersionsRequest.builder()

Parameters:

listPipelineVersionsRequest - A Consumer that will call methods on ListPipelineVersionsRequest.Builder to create a request.

Returns:

Result of the ListPipelineVersions operation returned by the service.

See Also:

• AWS API Documentation

listPipelineVersionsPaginator

default ListPipelineVersionsIterable listPipelineVersionsPaginator(ListPipelineVersionsRequest listPipelineVersionsRequest)
                                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineVersions(software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineVersionsIterable responses = client.listPipelineVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineVersionsIterable responses = client
             .listPipelineVersionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineVersionsIterable responses = client.listPipelineVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineVersions(software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsRequest) operation.

Parameters:

listPipelineVersionsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelineVersionsPaginator

default ListPipelineVersionsIterable listPipelineVersionsPaginator(Consumer<ListPipelineVersionsRequest.Builder> listPipelineVersionsRequest)
                                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelineVersions(software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineVersionsIterable responses = client.listPipelineVersionsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelineVersionsIterable responses = client
             .listPipelineVersionsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelineVersionsIterable responses = client.listPipelineVersionsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelineVersions(software.amazon.awssdk.services.sagemaker.model.ListPipelineVersionsRequest) operation.

This is a convenience which creates an instance of the ListPipelineVersionsRequest.Builder avoiding the need to create one manually via ListPipelineVersionsRequest.builder()

Parameters:

listPipelineVersionsRequest - A Consumer that will call methods on ListPipelineVersionsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelines

default ListPipelinesResponse listPipelines(ListPipelinesRequest listPipelinesRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of pipelines.

Parameters:

listPipelinesRequest -

Returns:

Result of the ListPipelines operation returned by the service.

See Also:

• AWS API Documentation

listPipelines

default ListPipelinesResponse listPipelines(Consumer<ListPipelinesRequest.Builder> listPipelinesRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of pipelines.

This is a convenience which creates an instance of the ListPipelinesRequest.Builder avoiding the need to create one manually via ListPipelinesRequest.builder()

Parameters:

listPipelinesRequest - A Consumer that will call methods on ListPipelinesRequest.Builder to create a request.

Returns:

Result of the ListPipelines operation returned by the service.

See Also:

• AWS API Documentation

listPipelinesPaginator

default ListPipelinesIterable listPipelinesPaginator(ListPipelinesRequest listPipelinesRequest)
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelines(software.amazon.awssdk.services.sagemaker.model.ListPipelinesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelinesIterable responses = client.listPipelinesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelinesIterable responses = client.listPipelinesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelinesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelinesIterable responses = client.listPipelinesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelines(software.amazon.awssdk.services.sagemaker.model.ListPipelinesRequest) operation.

Parameters:

listPipelinesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listPipelinesPaginator

default ListPipelinesIterable listPipelinesPaginator(Consumer<ListPipelinesRequest.Builder> listPipelinesRequest)
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listPipelines(software.amazon.awssdk.services.sagemaker.model.ListPipelinesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelinesIterable responses = client.listPipelinesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListPipelinesIterable responses = client.listPipelinesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListPipelinesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListPipelinesIterable responses = client.listPipelinesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listPipelines(software.amazon.awssdk.services.sagemaker.model.ListPipelinesRequest) operation.

This is a convenience which creates an instance of the ListPipelinesRequest.Builder avoiding the need to create one manually via ListPipelinesRequest.builder()

Parameters:

listPipelinesRequest - A Consumer that will call methods on ListPipelinesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listProcessingJobs

default ListProcessingJobsResponse listProcessingJobs(ListProcessingJobsRequest listProcessingJobsRequest)
                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists processing jobs that satisfy various filters.

Parameters:

listProcessingJobsRequest -

Returns:

Result of the ListProcessingJobs operation returned by the service.

See Also:

• AWS API Documentation

listProcessingJobs

default ListProcessingJobsResponse listProcessingJobs(Consumer<ListProcessingJobsRequest.Builder> listProcessingJobsRequest)
                                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists processing jobs that satisfy various filters.

This is a convenience which creates an instance of the ListProcessingJobsRequest.Builder avoiding the need to create one manually via ListProcessingJobsRequest.builder()

Parameters:

listProcessingJobsRequest - A Consumer that will call methods on ListProcessingJobsRequest.Builder to create a request.

Returns:

Result of the ListProcessingJobs operation returned by the service.

See Also:

• AWS API Documentation

listProcessingJobsPaginator

default ListProcessingJobsIterable listProcessingJobsPaginator(ListProcessingJobsRequest listProcessingJobsRequest)
                                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsIterable responses = client.listProcessingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsIterable responses = client
             .listProcessingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsIterable responses = client.listProcessingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation.

Parameters:

listProcessingJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listProcessingJobsPaginator

default ListProcessingJobsIterable listProcessingJobsPaginator(Consumer<ListProcessingJobsRequest.Builder> listProcessingJobsRequest)
                                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsIterable responses = client.listProcessingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsIterable responses = client
             .listProcessingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProcessingJobsIterable responses = client.listProcessingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listProcessingJobs(software.amazon.awssdk.services.sagemaker.model.ListProcessingJobsRequest) operation.

This is a convenience which creates an instance of the ListProcessingJobsRequest.Builder avoiding the need to create one manually via ListProcessingJobsRequest.builder()

Parameters:

listProcessingJobsRequest - A Consumer that will call methods on ListProcessingJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listProjects

default ListProjectsResponse listProjects(ListProjectsRequest listProjectsRequest)
                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the projects in an Amazon Web Services account.

Parameters:

listProjectsRequest -

Returns:

Result of the ListProjects operation returned by the service.

See Also:

• AWS API Documentation

listProjects

default ListProjectsResponse listProjects(Consumer<ListProjectsRequest.Builder> listProjectsRequest)
                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the projects in an Amazon Web Services account.

This is a convenience which creates an instance of the ListProjectsRequest.Builder avoiding the need to create one manually via ListProjectsRequest.builder()

Parameters:

listProjectsRequest - A Consumer that will call methods on ListProjectsRequest.Builder to create a request.

Returns:

Result of the ListProjects operation returned by the service.

See Also:

• AWS API Documentation

listProjectsPaginator

default ListProjectsIterable listProjectsPaginator(ListProjectsRequest listProjectsRequest)
                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listProjects(software.amazon.awssdk.services.sagemaker.model.ListProjectsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProjectsIterable responses = client.listProjectsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListProjectsIterable responses = client.listProjectsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListProjectsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProjectsIterable responses = client.listProjectsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listProjects(software.amazon.awssdk.services.sagemaker.model.ListProjectsRequest) operation.

Parameters:

listProjectsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listProjectsPaginator

default ListProjectsIterable listProjectsPaginator(Consumer<ListProjectsRequest.Builder> listProjectsRequest)
                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listProjects(software.amazon.awssdk.services.sagemaker.model.ListProjectsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProjectsIterable responses = client.listProjectsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListProjectsIterable responses = client.listProjectsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListProjectsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListProjectsIterable responses = client.listProjectsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listProjects(software.amazon.awssdk.services.sagemaker.model.ListProjectsRequest) operation.

This is a convenience which creates an instance of the ListProjectsRequest.Builder avoiding the need to create one manually via ListProjectsRequest.builder()

Parameters:

listProjectsRequest - A Consumer that will call methods on ListProjectsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listResourceCatalogs

default ListResourceCatalogsResponse listResourceCatalogs(ListResourceCatalogsRequest listResourceCatalogsRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of ResourceCatalogs viewable is 1000.

Parameters:

listResourceCatalogsRequest -

Returns:

Result of the ListResourceCatalogs operation returned by the service.

See Also:

• AWS API Documentation

listResourceCatalogs

default ListResourceCatalogsResponse listResourceCatalogs(Consumer<ListResourceCatalogsRequest.Builder> listResourceCatalogsRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of ResourceCatalogs viewable is 1000.

This is a convenience which creates an instance of the ListResourceCatalogsRequest.Builder avoiding the need to create one manually via ListResourceCatalogsRequest.builder()

Parameters:

listResourceCatalogsRequest - A Consumer that will call methods on ListResourceCatalogsRequest.Builder to create a request.

Returns:

Result of the ListResourceCatalogs operation returned by the service.

See Also:

• AWS API Documentation

listResourceCatalogsPaginator

default ListResourceCatalogsIterable listResourceCatalogsPaginator(ListResourceCatalogsRequest listResourceCatalogsRequest)
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listResourceCatalogs(software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListResourceCatalogsIterable responses = client.listResourceCatalogsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListResourceCatalogsIterable responses = client
             .listResourceCatalogsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListResourceCatalogsIterable responses = client.listResourceCatalogsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listResourceCatalogs(software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsRequest) operation.

Parameters:

listResourceCatalogsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listResourceCatalogsPaginator

default ListResourceCatalogsIterable listResourceCatalogsPaginator(Consumer<ListResourceCatalogsRequest.Builder> listResourceCatalogsRequest)
                                                            throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listResourceCatalogs(software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListResourceCatalogsIterable responses = client.listResourceCatalogsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListResourceCatalogsIterable responses = client
             .listResourceCatalogsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListResourceCatalogsIterable responses = client.listResourceCatalogsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listResourceCatalogs(software.amazon.awssdk.services.sagemaker.model.ListResourceCatalogsRequest) operation.

This is a convenience which creates an instance of the ListResourceCatalogsRequest.Builder avoiding the need to create one manually via ListResourceCatalogsRequest.builder()

Parameters:

listResourceCatalogsRequest - A Consumer that will call methods on ListResourceCatalogsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listSpaces

default ListSpacesResponse listSpaces(ListSpacesRequest listSpacesRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists spaces.

Parameters:

listSpacesRequest -

Returns:

Result of the ListSpaces operation returned by the service.

See Also:

• AWS API Documentation

listSpaces

default ListSpacesResponse listSpaces(Consumer<ListSpacesRequest.Builder> listSpacesRequest)
                               throws AwsServiceException,
SdkClientException,
SageMakerException

Lists spaces.

This is a convenience which creates an instance of the ListSpacesRequest.Builder avoiding the need to create one manually via ListSpacesRequest.builder()

Parameters:

listSpacesRequest - A Consumer that will call methods on ListSpacesRequest.Builder to create a request.

Returns:

Result of the ListSpaces operation returned by the service.

See Also:

• AWS API Documentation

listSpacesPaginator

default ListSpacesIterable listSpacesPaginator(ListSpacesRequest listSpacesRequest)
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listSpaces(software.amazon.awssdk.services.sagemaker.model.ListSpacesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSpacesIterable responses = client.listSpacesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListSpacesIterable responses = client.listSpacesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListSpacesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSpacesIterable responses = client.listSpacesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listSpaces(software.amazon.awssdk.services.sagemaker.model.ListSpacesRequest) operation.

Parameters:

listSpacesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listSpacesPaginator

default ListSpacesIterable listSpacesPaginator(Consumer<ListSpacesRequest.Builder> listSpacesRequest)
                                        throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listSpaces(software.amazon.awssdk.services.sagemaker.model.ListSpacesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSpacesIterable responses = client.listSpacesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListSpacesIterable responses = client.listSpacesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListSpacesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSpacesIterable responses = client.listSpacesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listSpaces(software.amazon.awssdk.services.sagemaker.model.ListSpacesRequest) operation.

This is a convenience which creates an instance of the ListSpacesRequest.Builder avoiding the need to create one manually via ListSpacesRequest.builder()

Parameters:

listSpacesRequest - A Consumer that will call methods on ListSpacesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listStageDevices

default ListStageDevicesResponse listStageDevices(ListStageDevicesRequest listStageDevicesRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists devices allocated to the stage, containing detailed device information and deployment status.

Parameters:

listStageDevicesRequest -

Returns:

Result of the ListStageDevices operation returned by the service.

See Also:

• AWS API Documentation

listStageDevices

default ListStageDevicesResponse listStageDevices(Consumer<ListStageDevicesRequest.Builder> listStageDevicesRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists devices allocated to the stage, containing detailed device information and deployment status.

This is a convenience which creates an instance of the ListStageDevicesRequest.Builder avoiding the need to create one manually via ListStageDevicesRequest.builder()

Parameters:

listStageDevicesRequest - A Consumer that will call methods on ListStageDevicesRequest.Builder to create a request.

Returns:

Result of the ListStageDevices operation returned by the service.

See Also:

• AWS API Documentation

listStageDevicesPaginator

default ListStageDevicesIterable listStageDevicesPaginator(ListStageDevicesRequest listStageDevicesRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listStageDevices(software.amazon.awssdk.services.sagemaker.model.ListStageDevicesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStageDevicesIterable responses = client.listStageDevicesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListStageDevicesIterable responses = client
             .listStageDevicesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListStageDevicesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStageDevicesIterable responses = client.listStageDevicesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listStageDevices(software.amazon.awssdk.services.sagemaker.model.ListStageDevicesRequest) operation.

Parameters:

listStageDevicesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listStageDevicesPaginator

default ListStageDevicesIterable listStageDevicesPaginator(Consumer<ListStageDevicesRequest.Builder> listStageDevicesRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listStageDevices(software.amazon.awssdk.services.sagemaker.model.ListStageDevicesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStageDevicesIterable responses = client.listStageDevicesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListStageDevicesIterable responses = client
             .listStageDevicesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListStageDevicesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStageDevicesIterable responses = client.listStageDevicesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listStageDevices(software.amazon.awssdk.services.sagemaker.model.ListStageDevicesRequest) operation.

This is a convenience which creates an instance of the ListStageDevicesRequest.Builder avoiding the need to create one manually via ListStageDevicesRequest.builder()

Parameters:

listStageDevicesRequest - A Consumer that will call methods on ListStageDevicesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listStudioLifecycleConfigs

default ListStudioLifecycleConfigsResponse listStudioLifecycleConfigs(ListStudioLifecycleConfigsRequest listStudioLifecycleConfigsRequest)
                                                               throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.

Parameters:

listStudioLifecycleConfigsRequest -

Returns:

Result of the ListStudioLifecycleConfigs operation returned by the service.

See Also:

• AWS API Documentation

listStudioLifecycleConfigs

default ListStudioLifecycleConfigsResponse listStudioLifecycleConfigs(Consumer<ListStudioLifecycleConfigsRequest.Builder> listStudioLifecycleConfigsRequest)
                                                               throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.

This is a convenience which creates an instance of the ListStudioLifecycleConfigsRequest.Builder avoiding the need to create one manually via ListStudioLifecycleConfigsRequest.builder()

Parameters:

listStudioLifecycleConfigsRequest - A Consumer that will call methods on ListStudioLifecycleConfigsRequest.Builder to create a request.

Returns:

Result of the ListStudioLifecycleConfigs operation returned by the service.

See Also:

• AWS API Documentation

listStudioLifecycleConfigsPaginator

default ListStudioLifecycleConfigsIterable listStudioLifecycleConfigsPaginator(ListStudioLifecycleConfigsRequest listStudioLifecycleConfigsRequest)
                                                                        throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listStudioLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStudioLifecycleConfigsIterable responses = client.listStudioLifecycleConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListStudioLifecycleConfigsIterable responses = client
             .listStudioLifecycleConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStudioLifecycleConfigsIterable responses = client.listStudioLifecycleConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listStudioLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsRequest) operation.

Parameters:

listStudioLifecycleConfigsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listStudioLifecycleConfigsPaginator

default ListStudioLifecycleConfigsIterable listStudioLifecycleConfigsPaginator(Consumer<ListStudioLifecycleConfigsRequest.Builder> listStudioLifecycleConfigsRequest)
                                                                        throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listStudioLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStudioLifecycleConfigsIterable responses = client.listStudioLifecycleConfigsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListStudioLifecycleConfigsIterable responses = client
             .listStudioLifecycleConfigsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListStudioLifecycleConfigsIterable responses = client.listStudioLifecycleConfigsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listStudioLifecycleConfigs(software.amazon.awssdk.services.sagemaker.model.ListStudioLifecycleConfigsRequest) operation.

This is a convenience which creates an instance of the ListStudioLifecycleConfigsRequest.Builder avoiding the need to create one manually via ListStudioLifecycleConfigsRequest.builder()

Parameters:

listStudioLifecycleConfigsRequest - A Consumer that will call methods on ListStudioLifecycleConfigsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listSubscribedWorkteams

default ListSubscribedWorkteamsResponse listSubscribedWorkteams(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.

Parameters:

listSubscribedWorkteamsRequest -

Returns:

Result of the ListSubscribedWorkteams operation returned by the service.

See Also:

• AWS API Documentation

listSubscribedWorkteams

default ListSubscribedWorkteamsResponse listSubscribedWorkteams(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the work teams that you are subscribed to in the Amazon Web Services 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()

Parameters:

listSubscribedWorkteamsRequest - A Consumer that will call methods on ListSubscribedWorkteamsRequest.Builder to create a request.

Returns:

Result of the ListSubscribedWorkteams operation returned by the service.

See Also:

• AWS API Documentation

listSubscribedWorkteams

default ListSubscribedWorkteamsResponse listSubscribedWorkteams()
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.

Returns:

Result of the ListSubscribedWorkteams operation returned by the service.

See Also:

• listSubscribedWorkteams(ListSubscribedWorkteamsRequest)
• AWS API Documentation

listSubscribedWorkteamsPaginator

default ListSubscribedWorkteamsIterable listSubscribedWorkteamsPaginator()
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client.listSubscribedWorkteamsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client
             .listSubscribedWorkteamsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client.listSubscribedWorkteamsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listSubscribedWorkteamsPaginator(ListSubscribedWorkteamsRequest)
• AWS API Documentation

listSubscribedWorkteamsPaginator

default ListSubscribedWorkteamsIterable listSubscribedWorkteamsPaginator(ListSubscribedWorkteamsRequest listSubscribedWorkteamsRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client.listSubscribedWorkteamsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client
             .listSubscribedWorkteamsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client.listSubscribedWorkteamsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation.

Parameters:

listSubscribedWorkteamsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listSubscribedWorkteamsPaginator

default ListSubscribedWorkteamsIterable listSubscribedWorkteamsPaginator(Consumer<ListSubscribedWorkteamsRequest.Builder> listSubscribedWorkteamsRequest)
                                                                  throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listSubscribedWorkteams(software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client.listSubscribedWorkteamsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client
             .listSubscribedWorkteamsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListSubscribedWorkteamsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListSubscribedWorkteamsIterable responses = client.listSubscribedWorkteamsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listSubscribedWorkteamsRequest - A Consumer that will call methods on ListSubscribedWorkteamsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTags

default ListTagsResponse listTags(ListTagsRequest listTagsRequest)
                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns the tags for the specified SageMaker resource.

Parameters:

listTagsRequest -

Returns:

Result of the ListTags operation returned by the service.

See Also:

• AWS API Documentation

listTags

default ListTagsResponse listTags(Consumer<ListTagsRequest.Builder> listTagsRequest)
                           throws AwsServiceException,
SdkClientException,
SageMakerException

Returns the tags for the specified SageMaker resource.

This is a convenience which creates an instance of the ListTagsRequest.Builder avoiding the need to create one manually via ListTagsRequest.builder()

Parameters:

listTagsRequest - A Consumer that will call methods on ListTagsRequest.Builder to create a request.

Returns:

Result of the ListTags operation returned by the service.

See Also:

• AWS API Documentation

listTagsPaginator

default ListTagsIterable listTagsPaginator(ListTagsRequest listTagsRequest)
                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTagsIterable responses = client.listTagsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTagsIterable responses = client.listTagsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTagsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTagsIterable responses = client.listTagsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation.

Parameters:

listTagsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTagsPaginator

default ListTagsIterable listTagsPaginator(Consumer<ListTagsRequest.Builder> listTagsRequest)
                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTags(software.amazon.awssdk.services.sagemaker.model.ListTagsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTagsIterable responses = client.listTagsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTagsIterable responses = client.listTagsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTagsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTagsIterable responses = client.listTagsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listTagsRequest - A Consumer that will call methods on ListTagsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingJobs

default ListTrainingJobsResponse listTrainingJobs(ListTrainingJobsRequest listTrainingJobsRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists training jobs.

When StatusEquals and MaxResults are set at the same time, the MaxResults number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are filtered by the StatusEquals parameter, which is returned as a response.

For example, if ListTrainingJobs is invoked with the following parameters:

{ ... MaxResults: 100, StatusEquals: InProgress ... }

First, 100 trainings jobs with any status, including those other than InProgress, are selected (sorted according to the creation time, from the most current to the oldest). Next, those with a status of InProgress are returned.

You can quickly test the API using the following Amazon Web Services CLI code.

aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress

Parameters:

listTrainingJobsRequest -

Returns:

Result of the ListTrainingJobs operation returned by the service.

See Also:

• AWS API Documentation

listTrainingJobs

default ListTrainingJobsResponse listTrainingJobs(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists training jobs.

When StatusEquals and MaxResults are set at the same time, the MaxResults number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are filtered by the StatusEquals parameter, which is returned as a response.

For example, if ListTrainingJobs is invoked with the following parameters:

{ ... MaxResults: 100, StatusEquals: InProgress ... }

First, 100 trainings jobs with any status, including those other than InProgress, are selected (sorted according to the creation time, from the most current to the oldest). Next, those with a status of InProgress are returned.

You can quickly test the API using the following Amazon Web Services CLI code.

aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress

This is a convenience which creates an instance of the ListTrainingJobsRequest.Builder avoiding the need to create one manually via ListTrainingJobsRequest.builder()

Parameters:

listTrainingJobsRequest - A Consumer that will call methods on ListTrainingJobsRequest.Builder to create a request.

Returns:

Result of the ListTrainingJobs operation returned by the service.

See Also:

• AWS API Documentation

listTrainingJobs

default ListTrainingJobsResponse listTrainingJobs()
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists training jobs.

When StatusEquals and MaxResults are set at the same time, the MaxResults number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are filtered by the StatusEquals parameter, which is returned as a response.

For example, if ListTrainingJobs is invoked with the following parameters:

{ ... MaxResults: 100, StatusEquals: InProgress ... }

First, 100 trainings jobs with any status, including those other than InProgress, are selected (sorted according to the creation time, from the most current to the oldest). Next, those with a status of InProgress are returned.

You can quickly test the API using the following Amazon Web Services CLI code.

aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress

Returns:

Result of the ListTrainingJobs operation returned by the service.

See Also:

• listTrainingJobs(ListTrainingJobsRequest)
• AWS API Documentation

listTrainingJobsPaginator

default ListTrainingJobsIterable listTrainingJobsPaginator()
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client.listTrainingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client
             .listTrainingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client.listTrainingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listTrainingJobsPaginator(ListTrainingJobsRequest)
• AWS API Documentation

listTrainingJobsPaginator

default ListTrainingJobsIterable listTrainingJobsPaginator(ListTrainingJobsRequest listTrainingJobsRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client.listTrainingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client
             .listTrainingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client.listTrainingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation.

Parameters:

listTrainingJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingJobsPaginator

default ListTrainingJobsIterable listTrainingJobsPaginator(Consumer<ListTrainingJobsRequest.Builder> listTrainingJobsRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingJobs(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client.listTrainingJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client
             .listTrainingJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsIterable responses = client.listTrainingJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listTrainingJobsRequest - A Consumer that will call methods on ListTrainingJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingJobsForHyperParameterTuningJob

default ListTrainingJobsForHyperParameterTuningJobResponse listTrainingJobsForHyperParameterTuningJob(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
                                                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.

Parameters:

listTrainingJobsForHyperParameterTuningJobRequest -

Returns:

Result of the ListTrainingJobsForHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

listTrainingJobsForHyperParameterTuningJob

default ListTrainingJobsForHyperParameterTuningJobResponse listTrainingJobsForHyperParameterTuningJob(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
                                                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listTrainingJobsForHyperParameterTuningJobRequest - A Consumer that will call methods on ListTrainingJobsForHyperParameterTuningJobRequest.Builder to create a request.

Returns:

Result of the ListTrainingJobsForHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

listTrainingJobsForHyperParameterTuningJobPaginator

default ListTrainingJobsForHyperParameterTuningJobIterable listTrainingJobsForHyperParameterTuningJobPaginator(ListTrainingJobsForHyperParameterTuningJobRequest listTrainingJobsForHyperParameterTuningJobRequest)
                                                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobIterable responses = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobIterable responses = client
             .listTrainingJobsForHyperParameterTuningJobPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobIterable responses = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest) operation.

Parameters:

listTrainingJobsForHyperParameterTuningJobRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingJobsForHyperParameterTuningJobPaginator

default ListTrainingJobsForHyperParameterTuningJobIterable listTrainingJobsForHyperParameterTuningJobPaginator(Consumer<ListTrainingJobsForHyperParameterTuningJobRequest.Builder> listTrainingJobsForHyperParameterTuningJobRequest)
                                                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingJobsForHyperParameterTuningJob(software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobIterable responses = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobIterable responses = client
             .listTrainingJobsForHyperParameterTuningJobPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingJobsForHyperParameterTuningJobResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingJobsForHyperParameterTuningJobIterable responses = client.listTrainingJobsForHyperParameterTuningJobPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listTrainingJobsForHyperParameterTuningJobRequest - A Consumer that will call methods on ListTrainingJobsForHyperParameterTuningJobRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingPlans

default ListTrainingPlansResponse listTrainingPlans(ListTrainingPlansRequest listTrainingPlansRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Retrieves a list of training plans for the current account.

Parameters:

listTrainingPlansRequest -

Returns:

Result of the ListTrainingPlans operation returned by the service.

See Also:

• AWS API Documentation

listTrainingPlans

default ListTrainingPlansResponse listTrainingPlans(Consumer<ListTrainingPlansRequest.Builder> listTrainingPlansRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Retrieves a list of training plans for the current account.

This is a convenience which creates an instance of the ListTrainingPlansRequest.Builder avoiding the need to create one manually via ListTrainingPlansRequest.builder()

Parameters:

listTrainingPlansRequest - A Consumer that will call methods on ListTrainingPlansRequest.Builder to create a request.

Returns:

Result of the ListTrainingPlans operation returned by the service.

See Also:

• AWS API Documentation

listTrainingPlansPaginator

default ListTrainingPlansIterable listTrainingPlansPaginator(ListTrainingPlansRequest listTrainingPlansRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingPlans(software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingPlansIterable responses = client.listTrainingPlansPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingPlansIterable responses = client
             .listTrainingPlansPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingPlansIterable responses = client.listTrainingPlansPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrainingPlans(software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansRequest) operation.

Parameters:

listTrainingPlansRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrainingPlansPaginator

default ListTrainingPlansIterable listTrainingPlansPaginator(Consumer<ListTrainingPlansRequest.Builder> listTrainingPlansRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrainingPlans(software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingPlansIterable responses = client.listTrainingPlansPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrainingPlansIterable responses = client
             .listTrainingPlansPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrainingPlansIterable responses = client.listTrainingPlansPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrainingPlans(software.amazon.awssdk.services.sagemaker.model.ListTrainingPlansRequest) operation.

This is a convenience which creates an instance of the ListTrainingPlansRequest.Builder avoiding the need to create one manually via ListTrainingPlansRequest.builder()

Parameters:

listTrainingPlansRequest - A Consumer that will call methods on ListTrainingPlansRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTransformJobs

default ListTransformJobsResponse listTransformJobs(ListTransformJobsRequest listTransformJobsRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists transform jobs.

Parameters:

listTransformJobsRequest -

Returns:

Result of the ListTransformJobs operation returned by the service.

See Also:

• AWS API Documentation

listTransformJobs

default ListTransformJobsResponse listTransformJobs(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

listTransformJobsRequest - A Consumer that will call methods on ListTransformJobsRequest.Builder to create a request.

Returns:

Result of the ListTransformJobs operation returned by the service.

See Also:

• AWS API Documentation

listTransformJobs

default ListTransformJobsResponse listTransformJobs()
                                             throws AwsServiceException,
SdkClientException,
SageMakerException

Lists transform jobs.

Returns:

Result of the ListTransformJobs operation returned by the service.

See Also:

• listTransformJobs(ListTransformJobsRequest)
• AWS API Documentation

listTransformJobsPaginator

default ListTransformJobsIterable listTransformJobsPaginator()
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client.listTransformJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client
             .listTransformJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client.listTransformJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listTransformJobsPaginator(ListTransformJobsRequest)
• AWS API Documentation

listTransformJobsPaginator

default ListTransformJobsIterable listTransformJobsPaginator(ListTransformJobsRequest listTransformJobsRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client.listTransformJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client
             .listTransformJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client.listTransformJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation.

Parameters:

listTransformJobsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTransformJobsPaginator

default ListTransformJobsIterable listTransformJobsPaginator(Consumer<ListTransformJobsRequest.Builder> listTransformJobsRequest)
                                                      throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTransformJobs(software.amazon.awssdk.services.sagemaker.model.ListTransformJobsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client.listTransformJobsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client
             .listTransformJobsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTransformJobsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTransformJobsIterable responses = client.listTransformJobsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listTransformJobsRequest - A Consumer that will call methods on ListTransformJobsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrialComponents

default ListTrialComponentsResponse listTrialComponents(ListTrialComponentsRequest listTrialComponentsRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:

• ExperimentName

• SourceArn

• TrialName

Parameters:

listTrialComponentsRequest -

Returns:

Result of the ListTrialComponents operation returned by the service.

See Also:

• AWS API Documentation

listTrialComponents

default ListTrialComponentsResponse listTrialComponents(Consumer<ListTrialComponentsRequest.Builder> listTrialComponentsRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:

• ExperimentName

• SourceArn

• TrialName

This is a convenience which creates an instance of the ListTrialComponentsRequest.Builder avoiding the need to create one manually via ListTrialComponentsRequest.builder()

Parameters:

listTrialComponentsRequest - A Consumer that will call methods on ListTrialComponentsRequest.Builder to create a request.

Returns:

Result of the ListTrialComponents operation returned by the service.

See Also:

• AWS API Documentation

listTrialComponentsPaginator

default ListTrialComponentsIterable listTrialComponentsPaginator(ListTrialComponentsRequest listTrialComponentsRequest)
                                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsIterable responses = client.listTrialComponentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsIterable responses = client
             .listTrialComponentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsIterable responses = client.listTrialComponentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest) operation.

Parameters:

listTrialComponentsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrialComponentsPaginator

default ListTrialComponentsIterable listTrialComponentsPaginator(Consumer<ListTrialComponentsRequest.Builder> listTrialComponentsRequest)
                                                          throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsIterable responses = client.listTrialComponentsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsIterable responses = client
             .listTrialComponentsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialComponentsIterable responses = client.listTrialComponentsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrialComponents(software.amazon.awssdk.services.sagemaker.model.ListTrialComponentsRequest) operation.

This is a convenience which creates an instance of the ListTrialComponentsRequest.Builder avoiding the need to create one manually via ListTrialComponentsRequest.builder()

Parameters:

listTrialComponentsRequest - A Consumer that will call methods on ListTrialComponentsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrials

default ListTrialsResponse listTrials(ListTrialsRequest listTrialsRequest)
                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.

Parameters:

listTrialsRequest -

Returns:

Result of the ListTrials operation returned by the service.

See Also:

• AWS API Documentation

listTrials

default ListTrialsResponse listTrials(Consumer<ListTrialsRequest.Builder> listTrialsRequest)
                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.

This is a convenience which creates an instance of the ListTrialsRequest.Builder avoiding the need to create one manually via ListTrialsRequest.builder()

Parameters:

listTrialsRequest - A Consumer that will call methods on ListTrialsRequest.Builder to create a request.

Returns:

Result of the ListTrials operation returned by the service.

See Also:

• AWS API Documentation

listTrialsPaginator

default ListTrialsIterable listTrialsPaginator(ListTrialsRequest listTrialsRequest)
                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialsIterable responses = client.listTrialsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrialsIterable responses = client.listTrialsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrialsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialsIterable responses = client.listTrialsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation.

Parameters:

listTrialsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listTrialsPaginator

default ListTrialsIterable listTrialsPaginator(Consumer<ListTrialsRequest.Builder> listTrialsRequest)
                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialsIterable responses = client.listTrialsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListTrialsIterable responses = client.listTrialsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListTrialsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListTrialsIterable responses = client.listTrialsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listTrials(software.amazon.awssdk.services.sagemaker.model.ListTrialsRequest) operation.

This is a convenience which creates an instance of the ListTrialsRequest.Builder avoiding the need to create one manually via ListTrialsRequest.builder()

Parameters:

listTrialsRequest - A Consumer that will call methods on ListTrialsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listUltraServersByReservedCapacity

default ListUltraServersByReservedCapacityResponse listUltraServersByReservedCapacity(ListUltraServersByReservedCapacityRequest listUltraServersByReservedCapacityRequest)
                                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists all UltraServers that are part of a specified reserved capacity.

Parameters:

listUltraServersByReservedCapacityRequest -

Returns:

Result of the ListUltraServersByReservedCapacity operation returned by the service.

See Also:

• AWS API Documentation

listUltraServersByReservedCapacity

default ListUltraServersByReservedCapacityResponse listUltraServersByReservedCapacity(Consumer<ListUltraServersByReservedCapacityRequest.Builder> listUltraServersByReservedCapacityRequest)
                                                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Lists all UltraServers that are part of a specified reserved capacity.

This is a convenience which creates an instance of the ListUltraServersByReservedCapacityRequest.Builder avoiding the need to create one manually via ListUltraServersByReservedCapacityRequest.builder()

Parameters:

listUltraServersByReservedCapacityRequest - A Consumer that will call methods on ListUltraServersByReservedCapacityRequest.Builder to create a request.

Returns:

Result of the ListUltraServersByReservedCapacity operation returned by the service.

See Also:

• AWS API Documentation

listUltraServersByReservedCapacityPaginator

default ListUltraServersByReservedCapacityIterable listUltraServersByReservedCapacityPaginator(ListUltraServersByReservedCapacityRequest listUltraServersByReservedCapacityRequest)
                                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listUltraServersByReservedCapacity(software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUltraServersByReservedCapacityIterable responses = client.listUltraServersByReservedCapacityPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListUltraServersByReservedCapacityIterable responses = client
             .listUltraServersByReservedCapacityPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUltraServersByReservedCapacityIterable responses = client.listUltraServersByReservedCapacityPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listUltraServersByReservedCapacity(software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityRequest) operation.

Parameters:

listUltraServersByReservedCapacityRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listUltraServersByReservedCapacityPaginator

default ListUltraServersByReservedCapacityIterable listUltraServersByReservedCapacityPaginator(Consumer<ListUltraServersByReservedCapacityRequest.Builder> listUltraServersByReservedCapacityRequest)
                                                                                        throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listUltraServersByReservedCapacity(software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUltraServersByReservedCapacityIterable responses = client.listUltraServersByReservedCapacityPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListUltraServersByReservedCapacityIterable responses = client
             .listUltraServersByReservedCapacityPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUltraServersByReservedCapacityIterable responses = client.listUltraServersByReservedCapacityPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listUltraServersByReservedCapacity(software.amazon.awssdk.services.sagemaker.model.ListUltraServersByReservedCapacityRequest) operation.

This is a convenience which creates an instance of the ListUltraServersByReservedCapacityRequest.Builder avoiding the need to create one manually via ListUltraServersByReservedCapacityRequest.builder()

Parameters:

listUltraServersByReservedCapacityRequest - A Consumer that will call methods on ListUltraServersByReservedCapacityRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listUserProfiles

default ListUserProfilesResponse listUserProfiles(ListUserProfilesRequest listUserProfilesRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists user profiles.

Parameters:

listUserProfilesRequest -

Returns:

Result of the ListUserProfiles operation returned by the service.

See Also:

• AWS API Documentation

listUserProfiles

default ListUserProfilesResponse listUserProfiles(Consumer<ListUserProfilesRequest.Builder> listUserProfilesRequest)
                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Lists user profiles.

This is a convenience which creates an instance of the ListUserProfilesRequest.Builder avoiding the need to create one manually via ListUserProfilesRequest.builder()

Parameters:

listUserProfilesRequest - A Consumer that will call methods on ListUserProfilesRequest.Builder to create a request.

Returns:

Result of the ListUserProfiles operation returned by the service.

See Also:

• AWS API Documentation

listUserProfilesPaginator

default ListUserProfilesIterable listUserProfilesPaginator(ListUserProfilesRequest listUserProfilesRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesIterable responses = client.listUserProfilesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesIterable responses = client
             .listUserProfilesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListUserProfilesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesIterable responses = client.listUserProfilesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation.

Parameters:

listUserProfilesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listUserProfilesPaginator

default ListUserProfilesIterable listUserProfilesPaginator(Consumer<ListUserProfilesRequest.Builder> listUserProfilesRequest)
                                                    throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesIterable responses = client.listUserProfilesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesIterable responses = client
             .listUserProfilesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListUserProfilesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListUserProfilesIterable responses = client.listUserProfilesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listUserProfiles(software.amazon.awssdk.services.sagemaker.model.ListUserProfilesRequest) operation.

This is a convenience which creates an instance of the ListUserProfilesRequest.Builder avoiding the need to create one manually via ListUserProfilesRequest.builder()

Parameters:

listUserProfilesRequest - A Consumer that will call methods on ListUserProfilesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listWorkforces

default ListWorkforcesResponse listWorkforces(ListWorkforcesRequest listWorkforcesRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.

Parameters:

listWorkforcesRequest -

Returns:

Result of the ListWorkforces operation returned by the service.

See Also:

• AWS API Documentation

listWorkforces

default ListWorkforcesResponse listWorkforces(Consumer<ListWorkforcesRequest.Builder> listWorkforcesRequest)
                                       throws AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.

This is a convenience which creates an instance of the ListWorkforcesRequest.Builder avoiding the need to create one manually via ListWorkforcesRequest.builder()

Parameters:

listWorkforcesRequest - A Consumer that will call methods on ListWorkforcesRequest.Builder to create a request.

Returns:

Result of the ListWorkforces operation returned by the service.

See Also:

• AWS API Documentation

listWorkforcesPaginator

default ListWorkforcesIterable listWorkforcesPaginator(ListWorkforcesRequest listWorkforcesRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesIterable responses = client.listWorkforcesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesIterable responses = client
             .listWorkforcesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListWorkforcesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesIterable responses = client.listWorkforcesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation.

Parameters:

listWorkforcesRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listWorkforcesPaginator

default ListWorkforcesIterable listWorkforcesPaginator(Consumer<ListWorkforcesRequest.Builder> listWorkforcesRequest)
                                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesIterable responses = client.listWorkforcesPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesIterable responses = client
             .listWorkforcesPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListWorkforcesResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkforcesIterable responses = client.listWorkforcesPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listWorkforces(software.amazon.awssdk.services.sagemaker.model.ListWorkforcesRequest) operation.

This is a convenience which creates an instance of the ListWorkforcesRequest.Builder avoiding the need to create one manually via ListWorkforcesRequest.builder()

Parameters:

listWorkforcesRequest - A Consumer that will call methods on ListWorkforcesRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listWorkteams

default ListWorkteamsResponse listWorkteams(ListWorkteamsRequest listWorkteamsRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of private 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.

Parameters:

listWorkteamsRequest -

Returns:

Result of the ListWorkteams operation returned by the service.

See Also:

• AWS API Documentation

listWorkteams

default ListWorkteamsResponse listWorkteams(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of private 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()

Parameters:

listWorkteamsRequest - A Consumer that will call methods on ListWorkteamsRequest.Builder to create a request.

Returns:

Result of the ListWorkteams operation returned by the service.

See Also:

• AWS API Documentation

listWorkteams

default ListWorkteamsResponse listWorkteams()
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Gets a list of private 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.

Returns:

Result of the ListWorkteams operation returned by the service.

See Also:

• listWorkteams(ListWorkteamsRequest)
• AWS API Documentation

listWorkteamsPaginator

default ListWorkteamsIterable listWorkteamsPaginator()
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• listWorkteamsPaginator(ListWorkteamsRequest)
• AWS API Documentation

listWorkteamsPaginator

default ListWorkteamsIterable listWorkteamsPaginator(ListWorkteamsRequest listWorkteamsRequest)
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation.

Parameters:

listWorkteamsRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

listWorkteamsPaginator

default ListWorkteamsIterable listWorkteamsPaginator(Consumer<ListWorkteamsRequest.Builder> listWorkteamsRequest)
                                              throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of listWorkteams(software.amazon.awssdk.services.sagemaker.model.ListWorkteamsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.ListWorkteamsResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.ListWorkteamsIterable responses = client.listWorkteamsPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

listWorkteamsRequest - A Consumer that will call methods on ListWorkteamsRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

putModelPackageGroupPolicy

default PutModelPackageGroupPolicyResponse putModelPackageGroupPolicy(PutModelPackageGroupPolicyRequest putModelPackageGroupPolicyRequest)
                                                               throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Adds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..

Parameters:

putModelPackageGroupPolicyRequest -

Returns:

Result of the PutModelPackageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

putModelPackageGroupPolicy

default PutModelPackageGroupPolicyResponse putModelPackageGroupPolicy(Consumer<PutModelPackageGroupPolicyRequest.Builder> putModelPackageGroupPolicyRequest)
                                                               throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Adds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..

This is a convenience which creates an instance of the PutModelPackageGroupPolicyRequest.Builder avoiding the need to create one manually via PutModelPackageGroupPolicyRequest.builder()

Parameters:

putModelPackageGroupPolicyRequest - A Consumer that will call methods on PutModelPackageGroupPolicyRequest.Builder to create a request.

Returns:

Result of the PutModelPackageGroupPolicy operation returned by the service.

See Also:

• AWS API Documentation

queryLineage

default QueryLineageResponse queryLineage(QueryLineageRequest queryLineageRequest)
                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.

Parameters:

queryLineageRequest -

Returns:

Result of the QueryLineage operation returned by the service.

See Also:

• AWS API Documentation

queryLineage

default QueryLineageResponse queryLineage(Consumer<QueryLineageRequest.Builder> queryLineageRequest)
                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.

This is a convenience which creates an instance of the QueryLineageRequest.Builder avoiding the need to create one manually via QueryLineageRequest.builder()

Parameters:

queryLineageRequest - A Consumer that will call methods on QueryLineageRequest.Builder to create a request.

Returns:

Result of the QueryLineage operation returned by the service.

See Also:

• AWS API Documentation

queryLineagePaginator

default QueryLineageIterable queryLineagePaginator(QueryLineageRequest queryLineageRequest)
                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of queryLineage(software.amazon.awssdk.services.sagemaker.model.QueryLineageRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.QueryLineageIterable responses = client.queryLineagePaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.QueryLineageIterable responses = client.queryLineagePaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.QueryLineageResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.QueryLineageIterable responses = client.queryLineagePaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the queryLineage(software.amazon.awssdk.services.sagemaker.model.QueryLineageRequest) operation.

Parameters:

queryLineageRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

queryLineagePaginator

default QueryLineageIterable queryLineagePaginator(Consumer<QueryLineageRequest.Builder> queryLineageRequest)
                                            throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of queryLineage(software.amazon.awssdk.services.sagemaker.model.QueryLineageRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.QueryLineageIterable responses = client.queryLineagePaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.QueryLineageIterable responses = client.queryLineagePaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.QueryLineageResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.QueryLineageIterable responses = client.queryLineagePaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the queryLineage(software.amazon.awssdk.services.sagemaker.model.QueryLineageRequest) operation.

This is a convenience which creates an instance of the QueryLineageRequest.Builder avoiding the need to create one manually via QueryLineageRequest.builder()

Parameters:

queryLineageRequest - A Consumer that will call methods on QueryLineageRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

registerDevices

default RegisterDevicesResponse registerDevices(RegisterDevicesRequest registerDevicesRequest)
                                         throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Register devices.

Parameters:

registerDevicesRequest -

Returns:

Result of the RegisterDevices operation returned by the service.

See Also:

• AWS API Documentation

registerDevices

default RegisterDevicesResponse registerDevices(Consumer<RegisterDevicesRequest.Builder> registerDevicesRequest)
                                         throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Register devices.

This is a convenience which creates an instance of the RegisterDevicesRequest.Builder avoiding the need to create one manually via RegisterDevicesRequest.builder()

Parameters:

registerDevicesRequest - A Consumer that will call methods on RegisterDevicesRequest.Builder to create a request.

Returns:

Result of the RegisterDevices operation returned by the service.

See Also:

• AWS API Documentation

renderUiTemplate

default RenderUiTemplateResponse renderUiTemplate(RenderUiTemplateRequest renderUiTemplateRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Renders the UI template so that you can preview the worker's experience.

Parameters:

renderUiTemplateRequest -

Returns:

Result of the RenderUiTemplate operation returned by the service.

See Also:

• AWS API Documentation

renderUiTemplate

default RenderUiTemplateResponse renderUiTemplate(Consumer<RenderUiTemplateRequest.Builder> renderUiTemplateRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

renderUiTemplateRequest - A Consumer that will call methods on RenderUiTemplateRequest.Builder to create a request.

Returns:

Result of the RenderUiTemplate operation returned by the service.

See Also:

• AWS API Documentation

retryPipelineExecution

default RetryPipelineExecutionResponse retryPipelineExecution(RetryPipelineExecutionRequest retryPipelineExecutionRequest)
                                                       throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Retry the execution of the pipeline.

Parameters:

retryPipelineExecutionRequest -

Returns:

Result of the RetryPipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

retryPipelineExecution

default RetryPipelineExecutionResponse retryPipelineExecution(Consumer<RetryPipelineExecutionRequest.Builder> retryPipelineExecutionRequest)
                                                       throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Retry the execution of the pipeline.

This is a convenience which creates an instance of the RetryPipelineExecutionRequest.Builder avoiding the need to create one manually via RetryPipelineExecutionRequest.builder()

Parameters:

retryPipelineExecutionRequest - A Consumer that will call methods on RetryPipelineExecutionRequest.Builder to create a request.

Returns:

Result of the RetryPipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

search

default SearchResponse search(SearchRequest searchRequest)
                       throws AwsServiceException,
SdkClientException,
SageMakerException

Finds SageMaker resources that match a search query. Matching resources are returned as a list of SearchRecord objects in the response. You can sort the search results by any resource property in a ascending or descending order.

You can query against the following value types: numeric, text, Boolean, and timestamp.

The Search API may provide access to otherwise restricted data. See Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference for more information.

Parameters:

searchRequest -

Returns:

Result of the Search operation returned by the service.

See Also:

• AWS API Documentation

search

default SearchResponse search(Consumer<SearchRequest.Builder> searchRequest)
                       throws AwsServiceException,
SdkClientException,
SageMakerException

Finds SageMaker resources that match a search query. Matching resources are returned as a list of SearchRecord objects in the response. You can sort the search results by any resource property in a ascending or descending order.

You can query against the following value types: numeric, text, Boolean, and timestamp.

The Search API may provide access to otherwise restricted data. See Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference for more information.

This is a convenience which creates an instance of the SearchRequest.Builder avoiding the need to create one manually via SearchRequest.builder()

Parameters:

searchRequest - A Consumer that will call methods on SearchRequest.Builder to create a request.

Returns:

Result of the Search operation returned by the service.

See Also:

• AWS API Documentation

searchPaginator

default SearchIterable searchPaginator(SearchRequest searchRequest)
                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.SearchIterable responses = client.searchPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.SearchIterable responses = client.searchPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.SearchResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.SearchIterable responses = client.searchPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

Note: If you prefer to have control on service calls, use the search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation.

Parameters:

searchRequest -

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

searchPaginator

default SearchIterable searchPaginator(Consumer<SearchRequest.Builder> searchRequest)
                                throws AwsServiceException,
SdkClientException,
SageMakerException

This is a variant of search(software.amazon.awssdk.services.sagemaker.model.SearchRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.

When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.

The following are few ways to iterate through the response pages:

1) Using a Stream

 
 software.amazon.awssdk.services.sagemaker.paginators.SearchIterable responses = client.searchPaginator(request);
 responses.stream().forEach(....);
 
 

2) Using For loop

 {
     @code
     software.amazon.awssdk.services.sagemaker.paginators.SearchIterable responses = client.searchPaginator(request);
     for (software.amazon.awssdk.services.sagemaker.model.SearchResponse response : responses) {
         // do something;
     }
 }
 

3) Use iterator directly

 
 software.amazon.awssdk.services.sagemaker.paginators.SearchIterable responses = client.searchPaginator(request);
 responses.iterator().forEachRemaining(....);
 
 

Please notice that the configuration of MaxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.

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()

Parameters:

searchRequest - A Consumer that will call methods on SearchRequest.Builder to create a request.

Returns:

A custom iterable that can be used to iterate through all the response pages.

See Also:

• AWS API Documentation

searchTrainingPlanOfferings

default SearchTrainingPlanOfferingsResponse searchTrainingPlanOfferings(SearchTrainingPlanOfferingsRequest searchTrainingPlanOfferingsRequest)
                                                                 throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Searches for available training plan offerings based on specified criteria.

• Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration).

• And then, they create a plan that best matches their needs using the ID of the plan offering they want to use.

For more information about how to reserve GPU capacity for your SageMaker training jobs or SageMaker HyperPod clusters using Amazon SageMaker Training Plan , see CreateTrainingPlan .

Parameters:

searchTrainingPlanOfferingsRequest -

Returns:

Result of the SearchTrainingPlanOfferings operation returned by the service.

See Also:

• AWS API Documentation

searchTrainingPlanOfferings

default SearchTrainingPlanOfferingsResponse searchTrainingPlanOfferings(Consumer<SearchTrainingPlanOfferingsRequest.Builder> searchTrainingPlanOfferingsRequest)
                                                                 throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Searches for available training plan offerings based on specified criteria.

• Users search for available plan offerings based on their requirements (e.g., instance type, count, start time, duration).

• And then, they create a plan that best matches their needs using the ID of the plan offering they want to use.

For more information about how to reserve GPU capacity for your SageMaker training jobs or SageMaker HyperPod clusters using Amazon SageMaker Training Plan , see CreateTrainingPlan .

This is a convenience which creates an instance of the SearchTrainingPlanOfferingsRequest.Builder avoiding the need to create one manually via SearchTrainingPlanOfferingsRequest.builder()

Parameters:

searchTrainingPlanOfferingsRequest - A Consumer that will call methods on SearchTrainingPlanOfferingsRequest.Builder to create a request.

Returns:

Result of the SearchTrainingPlanOfferings operation returned by the service.

See Also:

• AWS API Documentation

sendPipelineExecutionStepFailure

default SendPipelineExecutionStepFailureResponse sendPipelineExecutionStepFailure(SendPipelineExecutionStepFailureRequest sendPipelineExecutionStepFailureRequest)
                                                                           throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).

Parameters:

sendPipelineExecutionStepFailureRequest -

Returns:

Result of the SendPipelineExecutionStepFailure operation returned by the service.

See Also:

• AWS API Documentation

sendPipelineExecutionStepFailure

default SendPipelineExecutionStepFailureResponse sendPipelineExecutionStepFailure(Consumer<SendPipelineExecutionStepFailureRequest.Builder> sendPipelineExecutionStepFailureRequest)
                                                                           throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).

This is a convenience which creates an instance of the SendPipelineExecutionStepFailureRequest.Builder avoiding the need to create one manually via SendPipelineExecutionStepFailureRequest.builder()

Parameters:

sendPipelineExecutionStepFailureRequest - A Consumer that will call methods on SendPipelineExecutionStepFailureRequest.Builder to create a request.

Returns:

Result of the SendPipelineExecutionStepFailure operation returned by the service.

See Also:

• AWS API Documentation

sendPipelineExecutionStepSuccess

default SendPipelineExecutionStepSuccessResponse sendPipelineExecutionStepSuccess(SendPipelineExecutionStepSuccessRequest sendPipelineExecutionStepSuccessRequest)
                                                                           throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).

Parameters:

sendPipelineExecutionStepSuccessRequest -

Returns:

Result of the SendPipelineExecutionStepSuccess operation returned by the service.

See Also:

• AWS API Documentation

sendPipelineExecutionStepSuccess

default SendPipelineExecutionStepSuccessResponse sendPipelineExecutionStepSuccess(Consumer<SendPipelineExecutionStepSuccessRequest.Builder> sendPipelineExecutionStepSuccessRequest)
                                                                           throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).

This is a convenience which creates an instance of the SendPipelineExecutionStepSuccessRequest.Builder avoiding the need to create one manually via SendPipelineExecutionStepSuccessRequest.builder()

Parameters:

sendPipelineExecutionStepSuccessRequest - A Consumer that will call methods on SendPipelineExecutionStepSuccessRequest.Builder to create a request.

Returns:

Result of the SendPipelineExecutionStepSuccess operation returned by the service.

See Also:

• AWS API Documentation

startEdgeDeploymentStage

default StartEdgeDeploymentStageResponse startEdgeDeploymentStage(StartEdgeDeploymentStageRequest startEdgeDeploymentStageRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Starts a stage in an edge deployment plan.

Parameters:

startEdgeDeploymentStageRequest -

Returns:

Result of the StartEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

startEdgeDeploymentStage

default StartEdgeDeploymentStageResponse startEdgeDeploymentStage(Consumer<StartEdgeDeploymentStageRequest.Builder> startEdgeDeploymentStageRequest)
                                                           throws AwsServiceException,
SdkClientException,
SageMakerException

Starts a stage in an edge deployment plan.

This is a convenience which creates an instance of the StartEdgeDeploymentStageRequest.Builder avoiding the need to create one manually via StartEdgeDeploymentStageRequest.builder()

Parameters:

startEdgeDeploymentStageRequest - A Consumer that will call methods on StartEdgeDeploymentStageRequest.Builder to create a request.

Returns:

Result of the StartEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

startInferenceExperiment

default StartInferenceExperimentResponse startInferenceExperiment(StartInferenceExperimentRequest startInferenceExperimentRequest)
                                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts an inference experiment.

Parameters:

startInferenceExperimentRequest -

Returns:

Result of the StartInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

startInferenceExperiment

default StartInferenceExperimentResponse startInferenceExperiment(Consumer<StartInferenceExperimentRequest.Builder> startInferenceExperimentRequest)
                                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts an inference experiment.

This is a convenience which creates an instance of the StartInferenceExperimentRequest.Builder avoiding the need to create one manually via StartInferenceExperimentRequest.builder()

Parameters:

startInferenceExperimentRequest - A Consumer that will call methods on StartInferenceExperimentRequest.Builder to create a request.

Returns:

Result of the StartInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

startMlflowTrackingServer

default StartMlflowTrackingServerResponse startMlflowTrackingServer(StartMlflowTrackingServerRequest startMlflowTrackingServerRequest)
                                                             throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Programmatically start an MLflow Tracking Server.

Parameters:

startMlflowTrackingServerRequest -

Returns:

Result of the StartMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

startMlflowTrackingServer

default StartMlflowTrackingServerResponse startMlflowTrackingServer(Consumer<StartMlflowTrackingServerRequest.Builder> startMlflowTrackingServerRequest)
                                                             throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Programmatically start an MLflow Tracking Server.

This is a convenience which creates an instance of the StartMlflowTrackingServerRequest.Builder avoiding the need to create one manually via StartMlflowTrackingServerRequest.builder()

Parameters:

startMlflowTrackingServerRequest - A Consumer that will call methods on StartMlflowTrackingServerRequest.Builder to create a request.

Returns:

Result of the StartMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

startMonitoringSchedule

default StartMonitoringScheduleResponse startMonitoringSchedule(StartMonitoringScheduleRequest startMonitoringScheduleRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a previously stopped monitoring schedule.

By default, when you successfully create a new schedule, the status of a monitoring schedule is scheduled.

Parameters:

startMonitoringScheduleRequest -

Returns:

Result of the StartMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

startMonitoringSchedule

default StartMonitoringScheduleResponse startMonitoringSchedule(Consumer<StartMonitoringScheduleRequest.Builder> startMonitoringScheduleRequest)
                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a previously stopped monitoring schedule.

By default, when you successfully create a new schedule, the status of a monitoring schedule is scheduled.

This is a convenience which creates an instance of the StartMonitoringScheduleRequest.Builder avoiding the need to create one manually via StartMonitoringScheduleRequest.builder()

Parameters:

startMonitoringScheduleRequest - A Consumer that will call methods on StartMonitoringScheduleRequest.Builder to create a request.

Returns:

Result of the StartMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

startNotebookInstance

default StartNotebookInstanceResponse startNotebookInstance(StartNotebookInstanceRequest startNotebookInstanceRequest)
                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker AI sets the notebook instance status to InService . A notebook instance's status must be InService before you can connect to your Jupyter notebook.

Parameters:

startNotebookInstanceRequest -

Returns:

Result of the StartNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

startNotebookInstance

default StartNotebookInstanceResponse startNotebookInstance(Consumer<StartNotebookInstanceRequest.Builder> startNotebookInstanceRequest)
                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker AI 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()

Parameters:

startNotebookInstanceRequest - A Consumer that will call methods on StartNotebookInstanceRequest.Builder to create a request.

Returns:

Result of the StartNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

startPipelineExecution

default StartPipelineExecutionResponse startPipelineExecution(StartPipelineExecutionRequest startPipelineExecutionRequest)
                                                       throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a pipeline execution.

Parameters:

startPipelineExecutionRequest -

Returns:

Result of the StartPipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

startPipelineExecution

default StartPipelineExecutionResponse startPipelineExecution(Consumer<StartPipelineExecutionRequest.Builder> startPipelineExecutionRequest)
                                                       throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Starts a pipeline execution.

This is a convenience which creates an instance of the StartPipelineExecutionRequest.Builder avoiding the need to create one manually via StartPipelineExecutionRequest.builder()

Parameters:

startPipelineExecutionRequest - A Consumer that will call methods on StartPipelineExecutionRequest.Builder to create a request.

Returns:

Result of the StartPipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

startSession

default StartSessionResponse startSession(StartSessionRequest startSessionRequest)
                                   throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Initiates a remote connection session between a local integrated development environments (IDEs) and a remote SageMaker space.

Parameters:

startSessionRequest -

Returns:

Result of the StartSession operation returned by the service.

See Also:

• AWS API Documentation

startSession

default StartSessionResponse startSession(Consumer<StartSessionRequest.Builder> startSessionRequest)
                                   throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Initiates a remote connection session between a local integrated development environments (IDEs) and a remote SageMaker space.

This is a convenience which creates an instance of the StartSessionRequest.Builder avoiding the need to create one manually via StartSessionRequest.builder()

Parameters:

startSessionRequest - A Consumer that will call methods on StartSessionRequest.Builder to create a request.

Returns:

Result of the StartSession operation returned by the service.

See Also:

• AWS API Documentation

stopAutoMLJob

default StopAutoMlJobResponse stopAutoMLJob(StopAutoMlJobRequest stopAutoMlJobRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

A method for forcing a running job to shut down.

Parameters:

stopAutoMlJobRequest -

Returns:

Result of the StopAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

stopAutoMLJob

default StopAutoMlJobResponse stopAutoMLJob(Consumer<StopAutoMlJobRequest.Builder> stopAutoMlJobRequest)
                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

A method for forcing a running job to shut down.

This is a convenience which creates an instance of the StopAutoMlJobRequest.Builder avoiding the need to create one manually via StopAutoMlJobRequest.builder()

Parameters:

stopAutoMlJobRequest - A Consumer that will call methods on StopAutoMlJobRequest.Builder to create a request.

Returns:

Result of the StopAutoMLJob operation returned by the service.

See Also:

• AWS API Documentation

stopCompilationJob

default StopCompilationJobResponse stopCompilationJob(StopCompilationJobRequest stopCompilationJobRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a model compilation job.

To stop a job, Amazon SageMaker AI 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 AI changes the CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobStatus to Stopped.

Parameters:

stopCompilationJobRequest -

Returns:

Result of the StopCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

stopCompilationJob

default StopCompilationJobResponse stopCompilationJob(Consumer<StopCompilationJobRequest.Builder> stopCompilationJobRequest)
                                               throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a model compilation job.

To stop a job, Amazon SageMaker AI 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 AI changes the CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the 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()

Parameters:

stopCompilationJobRequest - A Consumer that will call methods on StopCompilationJobRequest.Builder to create a request.

Returns:

Result of the StopCompilationJob operation returned by the service.

See Also:

• AWS API Documentation

stopEdgeDeploymentStage

default StopEdgeDeploymentStageResponse stopEdgeDeploymentStage(StopEdgeDeploymentStageRequest stopEdgeDeploymentStageRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Stops a stage in an edge deployment plan.

Parameters:

stopEdgeDeploymentStageRequest -

Returns:

Result of the StopEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

stopEdgeDeploymentStage

default StopEdgeDeploymentStageResponse stopEdgeDeploymentStage(Consumer<StopEdgeDeploymentStageRequest.Builder> stopEdgeDeploymentStageRequest)
                                                         throws AwsServiceException,
SdkClientException,
SageMakerException

Stops a stage in an edge deployment plan.

This is a convenience which creates an instance of the StopEdgeDeploymentStageRequest.Builder avoiding the need to create one manually via StopEdgeDeploymentStageRequest.builder()

Parameters:

stopEdgeDeploymentStageRequest - A Consumer that will call methods on StopEdgeDeploymentStageRequest.Builder to create a request.

Returns:

Result of the StopEdgeDeploymentStage operation returned by the service.

See Also:

• AWS API Documentation

stopEdgePackagingJob

default StopEdgePackagingJobResponse stopEdgePackagingJob(StopEdgePackagingJobRequest stopEdgePackagingJobRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Request to stop an edge packaging job.

Parameters:

stopEdgePackagingJobRequest -

Returns:

Result of the StopEdgePackagingJob operation returned by the service.

See Also:

• AWS API Documentation

stopEdgePackagingJob

default StopEdgePackagingJobResponse stopEdgePackagingJob(Consumer<StopEdgePackagingJobRequest.Builder> stopEdgePackagingJobRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Request to stop an edge packaging job.

This is a convenience which creates an instance of the StopEdgePackagingJobRequest.Builder avoiding the need to create one manually via StopEdgePackagingJobRequest.builder()

Parameters:

stopEdgePackagingJobRequest - A Consumer that will call methods on StopEdgePackagingJobRequest.Builder to create a request.

Returns:

Result of the StopEdgePackagingJob operation returned by the service.

See Also:

• AWS API Documentation

stopHyperParameterTuningJob

default StopHyperParameterTuningJobResponse stopHyperParameterTuningJob(StopHyperParameterTuningJobRequest stopHyperParameterTuningJobRequest)
                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

stopHyperParameterTuningJobRequest -

Returns:

Result of the StopHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

stopHyperParameterTuningJob

default StopHyperParameterTuningJobResponse stopHyperParameterTuningJob(Consumer<StopHyperParameterTuningJobRequest.Builder> stopHyperParameterTuningJobRequest)
                                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

stopHyperParameterTuningJobRequest - A Consumer that will call methods on StopHyperParameterTuningJobRequest.Builder to create a request.

Returns:

Result of the StopHyperParameterTuningJob operation returned by the service.

See Also:

• AWS API Documentation

stopInferenceExperiment

default StopInferenceExperimentResponse stopInferenceExperiment(StopInferenceExperimentRequest stopInferenceExperimentRequest)
                                                         throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops an inference experiment.

Parameters:

stopInferenceExperimentRequest -

Returns:

Result of the StopInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

stopInferenceExperiment

default StopInferenceExperimentResponse stopInferenceExperiment(Consumer<StopInferenceExperimentRequest.Builder> stopInferenceExperimentRequest)
                                                         throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops an inference experiment.

This is a convenience which creates an instance of the StopInferenceExperimentRequest.Builder avoiding the need to create one manually via StopInferenceExperimentRequest.builder()

Parameters:

stopInferenceExperimentRequest - A Consumer that will call methods on StopInferenceExperimentRequest.Builder to create a request.

Returns:

Result of the StopInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

stopInferenceRecommendationsJob

default StopInferenceRecommendationsJobResponse stopInferenceRecommendationsJob(StopInferenceRecommendationsJobRequest stopInferenceRecommendationsJobRequest)
                                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops an Inference Recommender job.

Parameters:

stopInferenceRecommendationsJobRequest -

Returns:

Result of the StopInferenceRecommendationsJob operation returned by the service.

See Also:

• AWS API Documentation

stopInferenceRecommendationsJob

default StopInferenceRecommendationsJobResponse stopInferenceRecommendationsJob(Consumer<StopInferenceRecommendationsJobRequest.Builder> stopInferenceRecommendationsJobRequest)
                                                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops an Inference Recommender job.

This is a convenience which creates an instance of the StopInferenceRecommendationsJobRequest.Builder avoiding the need to create one manually via StopInferenceRecommendationsJobRequest.builder()

Parameters:

stopInferenceRecommendationsJobRequest - A Consumer that will call methods on StopInferenceRecommendationsJobRequest.Builder to create a request.

Returns:

Result of the StopInferenceRecommendationsJob operation returned by the service.

See Also:

• AWS API Documentation

stopLabelingJob

default StopLabelingJobResponse stopLabelingJob(StopLabelingJobRequest stopLabelingJobRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

stopLabelingJobRequest -

Returns:

Result of the StopLabelingJob operation returned by the service.

See Also:

• AWS API Documentation

stopLabelingJob

default StopLabelingJobResponse stopLabelingJob(Consumer<StopLabelingJobRequest.Builder> stopLabelingJobRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

stopLabelingJobRequest - A Consumer that will call methods on StopLabelingJobRequest.Builder to create a request.

Returns:

Result of the StopLabelingJob operation returned by the service.

See Also:

• AWS API Documentation

stopMlflowTrackingServer

default StopMlflowTrackingServerResponse stopMlflowTrackingServer(StopMlflowTrackingServerRequest stopMlflowTrackingServerRequest)
                                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Programmatically stop an MLflow Tracking Server.

Parameters:

stopMlflowTrackingServerRequest -

Returns:

Result of the StopMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

stopMlflowTrackingServer

default StopMlflowTrackingServerResponse stopMlflowTrackingServer(Consumer<StopMlflowTrackingServerRequest.Builder> stopMlflowTrackingServerRequest)
                                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Programmatically stop an MLflow Tracking Server.

This is a convenience which creates an instance of the StopMlflowTrackingServerRequest.Builder avoiding the need to create one manually via StopMlflowTrackingServerRequest.builder()

Parameters:

stopMlflowTrackingServerRequest - A Consumer that will call methods on StopMlflowTrackingServerRequest.Builder to create a request.

Returns:

Result of the StopMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

stopMonitoringSchedule

default StopMonitoringScheduleResponse stopMonitoringSchedule(StopMonitoringScheduleRequest stopMonitoringScheduleRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a previously started monitoring schedule.

Parameters:

stopMonitoringScheduleRequest -

Returns:

Result of the StopMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

stopMonitoringSchedule

default StopMonitoringScheduleResponse stopMonitoringSchedule(Consumer<StopMonitoringScheduleRequest.Builder> stopMonitoringScheduleRequest)
                                                       throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a previously started monitoring schedule.

This is a convenience which creates an instance of the StopMonitoringScheduleRequest.Builder avoiding the need to create one manually via StopMonitoringScheduleRequest.builder()

Parameters:

stopMonitoringScheduleRequest - A Consumer that will call methods on StopMonitoringScheduleRequest.Builder to create a request.

Returns:

Result of the StopMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

stopNotebookInstance

default StopNotebookInstanceResponse stopNotebookInstance(StopNotebookInstanceRequest stopNotebookInstanceRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the ML storage volume. SageMaker AI stops charging you for the ML compute instance when you call StopNotebookInstance.

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.

Parameters:

stopNotebookInstanceRequest -

Returns:

Result of the StopNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

stopNotebookInstance

default StopNotebookInstanceResponse stopNotebookInstance(Consumer<StopNotebookInstanceRequest.Builder> stopNotebookInstanceRequest)
                                                   throws AwsServiceException,
SdkClientException,
SageMakerException

Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the ML storage volume. SageMaker AI stops charging you for the ML compute instance when you call StopNotebookInstance.

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()

Parameters:

stopNotebookInstanceRequest - A Consumer that will call methods on StopNotebookInstanceRequest.Builder to create a request.

Returns:

Result of the StopNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

stopOptimizationJob

default StopOptimizationJobResponse stopOptimizationJob(StopOptimizationJobRequest stopOptimizationJobRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Ends a running inference optimization job.

Parameters:

stopOptimizationJobRequest -

Returns:

Result of the StopOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

stopOptimizationJob

default StopOptimizationJobResponse stopOptimizationJob(Consumer<StopOptimizationJobRequest.Builder> stopOptimizationJobRequest)
                                                 throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Ends a running inference optimization job.

This is a convenience which creates an instance of the StopOptimizationJobRequest.Builder avoiding the need to create one manually via StopOptimizationJobRequest.builder()

Parameters:

stopOptimizationJobRequest - A Consumer that will call methods on StopOptimizationJobRequest.Builder to create a request.

Returns:

Result of the StopOptimizationJob operation returned by the service.

See Also:

• AWS API Documentation

stopPipelineExecution

default StopPipelineExecutionResponse stopPipelineExecution(StopPipelineExecutionRequest stopPipelineExecutionRequest)
                                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a pipeline execution.

Callback Step

A pipeline execution won't stop while a callback step is running. When you call StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a "Status" field which is set to "Stopping".

You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or SendPipelineExecutionStepFailure.

Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.

Lambda Step

A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is hit the pipeline execution status is Failed.

Parameters:

stopPipelineExecutionRequest -

Returns:

Result of the StopPipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

stopPipelineExecution

default StopPipelineExecutionResponse stopPipelineExecution(Consumer<StopPipelineExecutionRequest.Builder> stopPipelineExecutionRequest)
                                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a pipeline execution.

Callback Step

A pipeline execution won't stop while a callback step is running. When you call StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a "Status" field which is set to "Stopping".

You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or SendPipelineExecutionStepFailure.

Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.

Lambda Step

A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is hit the pipeline execution status is Failed.

This is a convenience which creates an instance of the StopPipelineExecutionRequest.Builder avoiding the need to create one manually via StopPipelineExecutionRequest.builder()

Parameters:

stopPipelineExecutionRequest - A Consumer that will call methods on StopPipelineExecutionRequest.Builder to create a request.

Returns:

Result of the StopPipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

stopProcessingJob

default StopProcessingJobResponse stopProcessingJob(StopProcessingJobRequest stopProcessingJobRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a processing job.

Parameters:

stopProcessingJobRequest -

Returns:

Result of the StopProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

stopProcessingJob

default StopProcessingJobResponse stopProcessingJob(Consumer<StopProcessingJobRequest.Builder> stopProcessingJobRequest)
                                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a processing job.

This is a convenience which creates an instance of the StopProcessingJobRequest.Builder avoiding the need to create one manually via StopProcessingJobRequest.builder()

Parameters:

stopProcessingJobRequest - A Consumer that will call methods on StopProcessingJobRequest.Builder to create a request.

Returns:

Result of the StopProcessingJob operation returned by the service.

See Also:

• AWS API Documentation

stopTrainingJob

default StopTrainingJobResponse stopTrainingJob(StopTrainingJobRequest stopTrainingJobRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a training job. To stop a job, 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.

When it receives a StopTrainingJob request, SageMaker changes the status of the job to Stopping. After SageMaker stops the job, it sets the status to Stopped.

Parameters:

stopTrainingJobRequest -

Returns:

Result of the StopTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

stopTrainingJob

default StopTrainingJobResponse stopTrainingJob(Consumer<StopTrainingJobRequest.Builder> stopTrainingJobRequest)
                                         throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a training job. To stop a job, 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.

When it receives a StopTrainingJob request, SageMaker changes the status of the job to Stopping. After 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()

Parameters:

stopTrainingJobRequest - A Consumer that will call methods on StopTrainingJobRequest.Builder to create a request.

Returns:

Result of the StopTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

stopTransformJob

default StopTransformJobResponse stopTransformJob(StopTransformJobRequest stopTransformJobRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a batch 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 batch transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.

Parameters:

stopTransformJobRequest -

Returns:

Result of the StopTransformJob operation returned by the service.

See Also:

• AWS API Documentation

stopTransformJob

default StopTransformJobResponse stopTransformJob(Consumer<StopTransformJobRequest.Builder> stopTransformJobRequest)
                                           throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Stops a batch 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 batch 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()

Parameters:

stopTransformJobRequest - A Consumer that will call methods on StopTransformJobRequest.Builder to create a request.

Returns:

Result of the StopTransformJob operation returned by the service.

See Also:

• AWS API Documentation

updateAction

default UpdateActionResponse updateAction(UpdateActionRequest updateActionRequest)
                                   throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an action.

Parameters:

updateActionRequest -

Returns:

Result of the UpdateAction operation returned by the service.

See Also:

• AWS API Documentation

updateAction

default UpdateActionResponse updateAction(Consumer<UpdateActionRequest.Builder> updateActionRequest)
                                   throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an action.

This is a convenience which creates an instance of the UpdateActionRequest.Builder avoiding the need to create one manually via UpdateActionRequest.builder()

Parameters:

updateActionRequest - A Consumer that will call methods on UpdateActionRequest.Builder to create a request.

Returns:

Result of the UpdateAction operation returned by the service.

See Also:

• AWS API Documentation

updateAppImageConfig

default UpdateAppImageConfigResponse updateAppImageConfig(UpdateAppImageConfigRequest updateAppImageConfigRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the properties of an AppImageConfig.

Parameters:

updateAppImageConfigRequest -

Returns:

Result of the UpdateAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

updateAppImageConfig

default UpdateAppImageConfigResponse updateAppImageConfig(Consumer<UpdateAppImageConfigRequest.Builder> updateAppImageConfigRequest)
                                                   throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the properties of an AppImageConfig.

This is a convenience which creates an instance of the UpdateAppImageConfigRequest.Builder avoiding the need to create one manually via UpdateAppImageConfigRequest.builder()

Parameters:

updateAppImageConfigRequest - A Consumer that will call methods on UpdateAppImageConfigRequest.Builder to create a request.

Returns:

Result of the UpdateAppImageConfig operation returned by the service.

See Also:

• AWS API Documentation

updateArtifact

default UpdateArtifactResponse updateArtifact(UpdateArtifactRequest updateArtifactRequest)
                                       throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an artifact.

Parameters:

updateArtifactRequest -

Returns:

Result of the UpdateArtifact operation returned by the service.

See Also:

• AWS API Documentation

updateArtifact

default UpdateArtifactResponse updateArtifact(Consumer<UpdateArtifactRequest.Builder> updateArtifactRequest)
                                       throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an artifact.

This is a convenience which creates an instance of the UpdateArtifactRequest.Builder avoiding the need to create one manually via UpdateArtifactRequest.builder()

Parameters:

updateArtifactRequest - A Consumer that will call methods on UpdateArtifactRequest.Builder to create a request.

Returns:

Result of the UpdateArtifact operation returned by the service.

See Also:

• AWS API Documentation

updateCluster

default UpdateClusterResponse updateCluster(UpdateClusterRequest updateClusterRequest)
                                     throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a SageMaker HyperPod cluster.

Parameters:

updateClusterRequest -

Returns:

Result of the UpdateCluster operation returned by the service.

See Also:

• AWS API Documentation

updateCluster

default UpdateClusterResponse updateCluster(Consumer<UpdateClusterRequest.Builder> updateClusterRequest)
                                     throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a SageMaker HyperPod cluster.

This is a convenience which creates an instance of the UpdateClusterRequest.Builder avoiding the need to create one manually via UpdateClusterRequest.builder()

Parameters:

updateClusterRequest - A Consumer that will call methods on UpdateClusterRequest.Builder to create a request.

Returns:

Result of the UpdateCluster operation returned by the service.

See Also:

• AWS API Documentation

updateClusterSchedulerConfig

default UpdateClusterSchedulerConfigResponse updateClusterSchedulerConfig(UpdateClusterSchedulerConfigRequest updateClusterSchedulerConfigRequest)
                                                                   throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update the cluster policy configuration.

Parameters:

updateClusterSchedulerConfigRequest -

Returns:

Result of the UpdateClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

updateClusterSchedulerConfig

default UpdateClusterSchedulerConfigResponse updateClusterSchedulerConfig(Consumer<UpdateClusterSchedulerConfigRequest.Builder> updateClusterSchedulerConfigRequest)
                                                                   throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update the cluster policy configuration.

This is a convenience which creates an instance of the UpdateClusterSchedulerConfigRequest.Builder avoiding the need to create one manually via UpdateClusterSchedulerConfigRequest.builder()

Parameters:

updateClusterSchedulerConfigRequest - A Consumer that will call methods on UpdateClusterSchedulerConfigRequest.Builder to create a request.

Returns:

Result of the UpdateClusterSchedulerConfig operation returned by the service.

See Also:

• AWS API Documentation

updateClusterSoftware

default UpdateClusterSoftwareResponse updateClusterSoftware(UpdateClusterSoftwareRequest updateClusterSoftwareRequest)
                                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.

The UpgradeClusterSoftware API call may impact your SageMaker HyperPod cluster uptime and availability. Plan accordingly to mitigate potential disruptions to your workloads.

Parameters:

updateClusterSoftwareRequest -

Returns:

Result of the UpdateClusterSoftware operation returned by the service.

See Also:

• AWS API Documentation

updateClusterSoftware

default UpdateClusterSoftwareResponse updateClusterSoftware(Consumer<UpdateClusterSoftwareRequest.Builder> updateClusterSoftwareRequest)
                                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.

The UpgradeClusterSoftware API call may impact your SageMaker HyperPod cluster uptime and availability. Plan accordingly to mitigate potential disruptions to your workloads.

This is a convenience which creates an instance of the UpdateClusterSoftwareRequest.Builder avoiding the need to create one manually via UpdateClusterSoftwareRequest.builder()

Parameters:

updateClusterSoftwareRequest - A Consumer that will call methods on UpdateClusterSoftwareRequest.Builder to create a request.

Returns:

Result of the UpdateClusterSoftware operation returned by the service.

See Also:

• AWS API Documentation

updateCodeRepository

default UpdateCodeRepositoryResponse updateCodeRepository(UpdateCodeRepositoryRequest updateCodeRepositoryRequest)
                                                   throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the specified Git repository with the specified values.

Parameters:

updateCodeRepositoryRequest -

Returns:

Result of the UpdateCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

updateCodeRepository

default UpdateCodeRepositoryResponse updateCodeRepository(Consumer<UpdateCodeRepositoryRequest.Builder> updateCodeRepositoryRequest)
                                                   throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

updateCodeRepositoryRequest - A Consumer that will call methods on UpdateCodeRepositoryRequest.Builder to create a request.

Returns:

Result of the UpdateCodeRepository operation returned by the service.

See Also:

• AWS API Documentation

updateComputeQuota

default UpdateComputeQuotaResponse updateComputeQuota(UpdateComputeQuotaRequest updateComputeQuotaRequest)
                                               throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update the compute allocation definition.

Parameters:

updateComputeQuotaRequest -

Returns:

Result of the UpdateComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

updateComputeQuota

default UpdateComputeQuotaResponse updateComputeQuota(Consumer<UpdateComputeQuotaRequest.Builder> updateComputeQuotaRequest)
                                               throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update the compute allocation definition.

This is a convenience which creates an instance of the UpdateComputeQuotaRequest.Builder avoiding the need to create one manually via UpdateComputeQuotaRequest.builder()

Parameters:

updateComputeQuotaRequest - A Consumer that will call methods on UpdateComputeQuotaRequest.Builder to create a request.

Returns:

Result of the UpdateComputeQuota operation returned by the service.

See Also:

• AWS API Documentation

updateContext

default UpdateContextResponse updateContext(UpdateContextRequest updateContextRequest)
                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a context.

Parameters:

updateContextRequest -

Returns:

Result of the UpdateContext operation returned by the service.

See Also:

• AWS API Documentation

updateContext

default UpdateContextResponse updateContext(Consumer<UpdateContextRequest.Builder> updateContextRequest)
                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a context.

This is a convenience which creates an instance of the UpdateContextRequest.Builder avoiding the need to create one manually via UpdateContextRequest.builder()

Parameters:

updateContextRequest - A Consumer that will call methods on UpdateContextRequest.Builder to create a request.

Returns:

Result of the UpdateContext operation returned by the service.

See Also:

• AWS API Documentation

updateDeviceFleet

default UpdateDeviceFleetResponse updateDeviceFleet(UpdateDeviceFleetRequest updateDeviceFleetRequest)
                                             throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a fleet of devices.

Parameters:

updateDeviceFleetRequest -

Returns:

Result of the UpdateDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

updateDeviceFleet

default UpdateDeviceFleetResponse updateDeviceFleet(Consumer<UpdateDeviceFleetRequest.Builder> updateDeviceFleetRequest)
                                             throws ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a fleet of devices.

This is a convenience which creates an instance of the UpdateDeviceFleetRequest.Builder avoiding the need to create one manually via UpdateDeviceFleetRequest.builder()

Parameters:

updateDeviceFleetRequest - A Consumer that will call methods on UpdateDeviceFleetRequest.Builder to create a request.

Returns:

Result of the UpdateDeviceFleet operation returned by the service.

See Also:

• AWS API Documentation

updateDevices

default UpdateDevicesResponse updateDevices(UpdateDevicesRequest updateDevicesRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Updates one or more devices in a fleet.

Parameters:

updateDevicesRequest -

Returns:

Result of the UpdateDevices operation returned by the service.

See Also:

• AWS API Documentation

updateDevices

default UpdateDevicesResponse updateDevices(Consumer<UpdateDevicesRequest.Builder> updateDevicesRequest)
                                     throws AwsServiceException,
SdkClientException,
SageMakerException

Updates one or more devices in a fleet.

This is a convenience which creates an instance of the UpdateDevicesRequest.Builder avoiding the need to create one manually via UpdateDevicesRequest.builder()

Parameters:

updateDevicesRequest - A Consumer that will call methods on UpdateDevicesRequest.Builder to create a request.

Returns:

Result of the UpdateDevices operation returned by the service.

See Also:

• AWS API Documentation

updateDomain

default UpdateDomainResponse updateDomain(UpdateDomainRequest updateDomainRequest)
                                   throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the default settings for new user profiles in the domain.

Parameters:

updateDomainRequest -

Returns:

Result of the UpdateDomain operation returned by the service.

See Also:

• AWS API Documentation

updateDomain

default UpdateDomainResponse updateDomain(Consumer<UpdateDomainRequest.Builder> updateDomainRequest)
                                   throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the default settings for new user profiles in the domain.

This is a convenience which creates an instance of the UpdateDomainRequest.Builder avoiding the need to create one manually via UpdateDomainRequest.builder()

Parameters:

updateDomainRequest - A Consumer that will call methods on UpdateDomainRequest.Builder to create a request.

Returns:

Result of the UpdateDomain operation returned by the service.

See Also:

• AWS API Documentation

updateEndpoint

default UpdateEndpointResponse updateEndpoint(UpdateEndpointRequest updateEndpointRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Deploys the EndpointConfig specified in the request to a new fleet of instances. SageMaker shifts endpoint traffic to the new instances with the updated endpoint configuration and then deletes the old instances using the previous EndpointConfig (there is no availability loss). For more information about how to control the update and traffic shifting process, see Update models in production.

When 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 must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.

Parameters:

updateEndpointRequest -

Returns:

Result of the UpdateEndpoint operation returned by the service.

See Also:

• AWS API Documentation

updateEndpoint

default UpdateEndpointResponse updateEndpoint(Consumer<UpdateEndpointRequest.Builder> updateEndpointRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Deploys the EndpointConfig specified in the request to a new fleet of instances. SageMaker shifts endpoint traffic to the new instances with the updated endpoint configuration and then deletes the old instances using the previous EndpointConfig (there is no availability loss). For more information about how to control the update and traffic shifting process, see Update models in production.

When 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 must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.

If you delete the EndpointConfig of an endpoint that is active or being created or updated you may lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop incurring charges.

This is a convenience which creates an instance of the UpdateEndpointRequest.Builder avoiding the need to create one manually via UpdateEndpointRequest.builder()

Parameters:

updateEndpointRequest - A Consumer that will call methods on UpdateEndpointRequest.Builder to create a request.

Returns:

Result of the UpdateEndpoint operation returned by the service.

See Also:

• AWS API Documentation

updateEndpointWeightsAndCapacities

default UpdateEndpointWeightsAndCapacitiesResponse updateEndpointWeightsAndCapacities(UpdateEndpointWeightsAndCapacitiesRequest updateEndpointWeightsAndCapacitiesRequest)
                                                                               throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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, 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.

Parameters:

updateEndpointWeightsAndCapacitiesRequest -

Returns:

Result of the UpdateEndpointWeightsAndCapacities operation returned by the service.

See Also:

• AWS API Documentation

updateEndpointWeightsAndCapacities

default UpdateEndpointWeightsAndCapacitiesResponse updateEndpointWeightsAndCapacities(Consumer<UpdateEndpointWeightsAndCapacitiesRequest.Builder> updateEndpointWeightsAndCapacitiesRequest)
                                                                               throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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, 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()

Parameters:

updateEndpointWeightsAndCapacitiesRequest - A Consumer that will call methods on UpdateEndpointWeightsAndCapacitiesRequest.Builder to create a request.

Returns:

Result of the UpdateEndpointWeightsAndCapacities operation returned by the service.

See Also:

• AWS API Documentation

updateExperiment

default UpdateExperimentResponse updateExperiment(UpdateExperimentRequest updateExperimentRequest)
                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.

Parameters:

updateExperimentRequest -

Returns:

Result of the UpdateExperiment operation returned by the service.

See Also:

• AWS API Documentation

updateExperiment

default UpdateExperimentResponse updateExperiment(Consumer<UpdateExperimentRequest.Builder> updateExperimentRequest)
                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.

This is a convenience which creates an instance of the UpdateExperimentRequest.Builder avoiding the need to create one manually via UpdateExperimentRequest.builder()

Parameters:

updateExperimentRequest - A Consumer that will call methods on UpdateExperimentRequest.Builder to create a request.

Returns:

Result of the UpdateExperiment operation returned by the service.

See Also:

• AWS API Documentation

updateFeatureGroup

default UpdateFeatureGroupResponse updateFeatureGroup(UpdateFeatureGroupRequest updateFeatureGroupRequest)
                                               throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the UpdateFeatureGroup API.

You can add features for your feature group using the FeatureAdditions request parameter. Features cannot be removed from a feature group.

You can update the online store configuration by using the OnlineStoreConfig request parameter. If a TtlDuration is specified, the default TtlDuration applies for all records added to the feature group after the feature group is updated. If a record level TtlDuration exists from using the PutRecord API, the record level TtlDuration applies to that record instead of the default TtlDuration. To remove the default TtlDuration from an existing feature group, use the UpdateFeatureGroup API and set the TtlDuration Unit and Value to null.

Parameters:

updateFeatureGroupRequest -

Returns:

Result of the UpdateFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

updateFeatureGroup

default UpdateFeatureGroupResponse updateFeatureGroup(Consumer<UpdateFeatureGroupRequest.Builder> updateFeatureGroupRequest)
                                               throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the feature group by either adding features or updating the online store configuration. Use one of the following request parameters at a time while using the UpdateFeatureGroup API.

You can add features for your feature group using the FeatureAdditions request parameter. Features cannot be removed from a feature group.

You can update the online store configuration by using the OnlineStoreConfig request parameter. If a TtlDuration is specified, the default TtlDuration applies for all records added to the feature group after the feature group is updated. If a record level TtlDuration exists from using the PutRecord API, the record level TtlDuration applies to that record instead of the default TtlDuration. To remove the default TtlDuration from an existing feature group, use the UpdateFeatureGroup API and set the TtlDuration Unit and Value to null.

This is a convenience which creates an instance of the UpdateFeatureGroupRequest.Builder avoiding the need to create one manually via UpdateFeatureGroupRequest.builder()

Parameters:

updateFeatureGroupRequest - A Consumer that will call methods on UpdateFeatureGroupRequest.Builder to create a request.

Returns:

Result of the UpdateFeatureGroup operation returned by the service.

See Also:

• AWS API Documentation

updateFeatureMetadata

default UpdateFeatureMetadataResponse updateFeatureMetadata(UpdateFeatureMetadataRequest updateFeatureMetadataRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the description and parameters of the feature group.

Parameters:

updateFeatureMetadataRequest -

Returns:

Result of the UpdateFeatureMetadata operation returned by the service.

See Also:

• AWS API Documentation

updateFeatureMetadata

default UpdateFeatureMetadataResponse updateFeatureMetadata(Consumer<UpdateFeatureMetadataRequest.Builder> updateFeatureMetadataRequest)
                                                     throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the description and parameters of the feature group.

This is a convenience which creates an instance of the UpdateFeatureMetadataRequest.Builder avoiding the need to create one manually via UpdateFeatureMetadataRequest.builder()

Parameters:

updateFeatureMetadataRequest - A Consumer that will call methods on UpdateFeatureMetadataRequest.Builder to create a request.

Returns:

Result of the UpdateFeatureMetadata operation returned by the service.

See Also:

• AWS API Documentation

updateHub

default UpdateHubResponse updateHub(UpdateHubRequest updateHubRequest)
                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Update a hub.

Parameters:

updateHubRequest -

Returns:

Result of the UpdateHub operation returned by the service.

See Also:

• AWS API Documentation

updateHub

default UpdateHubResponse updateHub(Consumer<UpdateHubRequest.Builder> updateHubRequest)
                             throws ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Update a hub.

This is a convenience which creates an instance of the UpdateHubRequest.Builder avoiding the need to create one manually via UpdateHubRequest.builder()

Parameters:

updateHubRequest - A Consumer that will call methods on UpdateHubRequest.Builder to create a request.

Returns:

Result of the UpdateHub operation returned by the service.

See Also:

• AWS API Documentation

updateHubContent

default UpdateHubContentResponse updateHubContent(UpdateHubContentRequest updateHubContentRequest)
                                           throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates SageMaker hub content (either a Model or Notebook resource).

You can update the metadata that describes the resource. In addition to the required request fields, specify at least one of the following fields to update:

• HubContentDescription

• HubContentDisplayName

• HubContentMarkdown

• HubContentSearchKeywords

• SupportStatus

For more information about hubs, see Private curated hubs for foundation model access control in JumpStart.

If you want to update a ModelReference resource in your hub, use the UpdateHubContentResource API instead.

Parameters:

updateHubContentRequest -

Returns:

Result of the UpdateHubContent operation returned by the service.

See Also:

• AWS API Documentation

updateHubContent

default UpdateHubContentResponse updateHubContent(Consumer<UpdateHubContentRequest.Builder> updateHubContentRequest)
                                           throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates SageMaker hub content (either a Model or Notebook resource).

You can update the metadata that describes the resource. In addition to the required request fields, specify at least one of the following fields to update:

• HubContentDescription

• HubContentDisplayName

• HubContentMarkdown

• HubContentSearchKeywords

• SupportStatus

For more information about hubs, see Private curated hubs for foundation model access control in JumpStart.

If you want to update a ModelReference resource in your hub, use the UpdateHubContentResource API instead.

This is a convenience which creates an instance of the UpdateHubContentRequest.Builder avoiding the need to create one manually via UpdateHubContentRequest.builder()

Parameters:

updateHubContentRequest - A Consumer that will call methods on UpdateHubContentRequest.Builder to create a request.

Returns:

Result of the UpdateHubContent operation returned by the service.

See Also:

• AWS API Documentation

updateHubContentReference

default UpdateHubContentReferenceResponse updateHubContentReference(UpdateHubContentReferenceRequest updateHubContentReferenceRequest)
                                                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the contents of a SageMaker hub for a ModelReference resource. A ModelReference allows you to access public SageMaker JumpStart models from within your private hub.

When using this API, you can update the MinVersion field for additional flexibility in the model version. You shouldn't update any additional fields when using this API, because the metadata in your private hub should match the public JumpStart model's metadata.

If you want to update a Model or Notebook resource in your hub, use the UpdateHubContent API instead.

For more information about adding model references to your hub, see Add models to a private hub.

Parameters:

updateHubContentReferenceRequest -

Returns:

Result of the UpdateHubContentReference operation returned by the service.

See Also:

• AWS API Documentation

updateHubContentReference

default UpdateHubContentReferenceResponse updateHubContentReference(Consumer<UpdateHubContentReferenceRequest.Builder> updateHubContentReferenceRequest)
                                                             throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the contents of a SageMaker hub for a ModelReference resource. A ModelReference allows you to access public SageMaker JumpStart models from within your private hub.

When using this API, you can update the MinVersion field for additional flexibility in the model version. You shouldn't update any additional fields when using this API, because the metadata in your private hub should match the public JumpStart model's metadata.

If you want to update a Model or Notebook resource in your hub, use the UpdateHubContent API instead.

For more information about adding model references to your hub, see Add models to a private hub.

This is a convenience which creates an instance of the UpdateHubContentReferenceRequest.Builder avoiding the need to create one manually via UpdateHubContentReferenceRequest.builder()

Parameters:

updateHubContentReferenceRequest - A Consumer that will call methods on UpdateHubContentReferenceRequest.Builder to create a request.

Returns:

Result of the UpdateHubContentReference operation returned by the service.

See Also:

• AWS API Documentation

updateImage

default UpdateImageResponse updateImage(UpdateImageRequest updateImageRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the properties of a SageMaker AI image. To change the image's tags, use the AddTags and DeleteTags APIs.

Parameters:

updateImageRequest -

Returns:

Result of the UpdateImage operation returned by the service.

See Also:

• AWS API Documentation

updateImage

default UpdateImageResponse updateImage(Consumer<UpdateImageRequest.Builder> updateImageRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the properties of a SageMaker AI image. To change the image's tags, use the AddTags and DeleteTags APIs.

This is a convenience which creates an instance of the UpdateImageRequest.Builder avoiding the need to create one manually via UpdateImageRequest.builder()

Parameters:

updateImageRequest - A Consumer that will call methods on UpdateImageRequest.Builder to create a request.

Returns:

Result of the UpdateImage operation returned by the service.

See Also:

• AWS API Documentation

updateImageVersion

default UpdateImageVersionResponse updateImageVersion(UpdateImageVersionRequest updateImageVersionRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the properties of a SageMaker AI image version.

Parameters:

updateImageVersionRequest -

Returns:

Result of the UpdateImageVersion operation returned by the service.

See Also:

• AWS API Documentation

updateImageVersion

default UpdateImageVersionResponse updateImageVersion(Consumer<UpdateImageVersionRequest.Builder> updateImageVersionRequest)
                                               throws ResourceNotFoundException,
ResourceInUseException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the properties of a SageMaker AI image version.

This is a convenience which creates an instance of the UpdateImageVersionRequest.Builder avoiding the need to create one manually via UpdateImageVersionRequest.builder()

Parameters:

updateImageVersionRequest - A Consumer that will call methods on UpdateImageVersionRequest.Builder to create a request.

Returns:

Result of the UpdateImageVersion operation returned by the service.

See Also:

• AWS API Documentation

updateInferenceComponent

default UpdateInferenceComponentResponse updateInferenceComponent(UpdateInferenceComponentRequest updateInferenceComponentRequest)
                                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an inference component.

Parameters:

updateInferenceComponentRequest -

Returns:

Result of the UpdateInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

updateInferenceComponent

default UpdateInferenceComponentResponse updateInferenceComponent(Consumer<UpdateInferenceComponentRequest.Builder> updateInferenceComponentRequest)
                                                           throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an inference component.

This is a convenience which creates an instance of the UpdateInferenceComponentRequest.Builder avoiding the need to create one manually via UpdateInferenceComponentRequest.builder()

Parameters:

updateInferenceComponentRequest - A Consumer that will call methods on UpdateInferenceComponentRequest.Builder to create a request.

Returns:

Result of the UpdateInferenceComponent operation returned by the service.

See Also:

• AWS API Documentation

updateInferenceComponentRuntimeConfig

default UpdateInferenceComponentRuntimeConfigResponse updateInferenceComponentRuntimeConfig(UpdateInferenceComponentRuntimeConfigRequest updateInferenceComponentRuntimeConfigRequest)
                                                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Runtime settings for a model that is deployed with an inference component.

Parameters:

updateInferenceComponentRuntimeConfigRequest -

Returns:

Result of the UpdateInferenceComponentRuntimeConfig operation returned by the service.

See Also:

• AWS API Documentation

updateInferenceComponentRuntimeConfig

default UpdateInferenceComponentRuntimeConfigResponse updateInferenceComponentRuntimeConfig(Consumer<UpdateInferenceComponentRuntimeConfigRequest.Builder> updateInferenceComponentRuntimeConfigRequest)
                                                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Runtime settings for a model that is deployed with an inference component.

This is a convenience which creates an instance of the UpdateInferenceComponentRuntimeConfigRequest.Builder avoiding the need to create one manually via UpdateInferenceComponentRuntimeConfigRequest.builder()

Parameters:

updateInferenceComponentRuntimeConfigRequest - A Consumer that will call methods on UpdateInferenceComponentRuntimeConfigRequest.Builder to create a request.

Returns:

Result of the UpdateInferenceComponentRuntimeConfig operation returned by the service.

See Also:

• AWS API Documentation

updateInferenceExperiment

default UpdateInferenceExperimentResponse updateInferenceExperiment(UpdateInferenceExperimentRequest updateInferenceExperimentRequest)
                                                             throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see DescribeInferenceExperiment.

Parameters:

updateInferenceExperimentRequest -

Returns:

Result of the UpdateInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

updateInferenceExperiment

default UpdateInferenceExperimentResponse updateInferenceExperiment(Consumer<UpdateInferenceExperimentRequest.Builder> updateInferenceExperimentRequest)
                                                             throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an inference experiment that you created. The status of the inference experiment has to be either Created, Running. For more information on the status of an inference experiment, see DescribeInferenceExperiment.

This is a convenience which creates an instance of the UpdateInferenceExperimentRequest.Builder avoiding the need to create one manually via UpdateInferenceExperimentRequest.builder()

Parameters:

updateInferenceExperimentRequest - A Consumer that will call methods on UpdateInferenceExperimentRequest.Builder to create a request.

Returns:

Result of the UpdateInferenceExperiment operation returned by the service.

See Also:

• AWS API Documentation

updateMlflowTrackingServer

default UpdateMlflowTrackingServerResponse updateMlflowTrackingServer(UpdateMlflowTrackingServerRequest updateMlflowTrackingServerRequest)
                                                               throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates properties of an existing MLflow Tracking Server.

Parameters:

updateMlflowTrackingServerRequest -

Returns:

Result of the UpdateMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

updateMlflowTrackingServer

default UpdateMlflowTrackingServerResponse updateMlflowTrackingServer(Consumer<UpdateMlflowTrackingServerRequest.Builder> updateMlflowTrackingServerRequest)
                                                               throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates properties of an existing MLflow Tracking Server.

This is a convenience which creates an instance of the UpdateMlflowTrackingServerRequest.Builder avoiding the need to create one manually via UpdateMlflowTrackingServerRequest.builder()

Parameters:

updateMlflowTrackingServerRequest - A Consumer that will call methods on UpdateMlflowTrackingServerRequest.Builder to create a request.

Returns:

Result of the UpdateMlflowTrackingServer operation returned by the service.

See Also:

• AWS API Documentation

updateModelCard

default UpdateModelCardResponse updateModelCard(UpdateModelCardRequest updateModelCardRequest)
                                         throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update an Amazon SageMaker Model Card.

You cannot update both model card content and model card status in a single call.

Parameters:

updateModelCardRequest -

Returns:

Result of the UpdateModelCard operation returned by the service.

See Also:

• AWS API Documentation

updateModelCard

default UpdateModelCardResponse updateModelCard(Consumer<UpdateModelCardRequest.Builder> updateModelCardRequest)
                                         throws ConflictException,
ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update an Amazon SageMaker Model Card.

You cannot update both model card content and model card status in a single call.

This is a convenience which creates an instance of the UpdateModelCardRequest.Builder avoiding the need to create one manually via UpdateModelCardRequest.builder()

Parameters:

updateModelCardRequest - A Consumer that will call methods on UpdateModelCardRequest.Builder to create a request.

Returns:

Result of the UpdateModelCard operation returned by the service.

See Also:

• AWS API Documentation

updateModelPackage

default UpdateModelPackageResponse updateModelPackage(UpdateModelPackageRequest updateModelPackageRequest)
                                               throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a versioned model.

Parameters:

updateModelPackageRequest -

Returns:

Result of the UpdateModelPackage operation returned by the service.

See Also:

• AWS API Documentation

updateModelPackage

default UpdateModelPackageResponse updateModelPackage(Consumer<UpdateModelPackageRequest.Builder> updateModelPackageRequest)
                                               throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a versioned model.

This is a convenience which creates an instance of the UpdateModelPackageRequest.Builder avoiding the need to create one manually via UpdateModelPackageRequest.builder()

Parameters:

updateModelPackageRequest - A Consumer that will call methods on UpdateModelPackageRequest.Builder to create a request.

Returns:

Result of the UpdateModelPackage operation returned by the service.

See Also:

• AWS API Documentation

updateMonitoringAlert

default UpdateMonitoringAlertResponse updateMonitoringAlert(UpdateMonitoringAlertRequest updateMonitoringAlertRequest)
                                                     throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update the parameters of a model monitor alert.

Parameters:

updateMonitoringAlertRequest -

Returns:

Result of the UpdateMonitoringAlert operation returned by the service.

See Also:

• AWS API Documentation

updateMonitoringAlert

default UpdateMonitoringAlertResponse updateMonitoringAlert(Consumer<UpdateMonitoringAlertRequest.Builder> updateMonitoringAlertRequest)
                                                     throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update the parameters of a model monitor alert.

This is a convenience which creates an instance of the UpdateMonitoringAlertRequest.Builder avoiding the need to create one manually via UpdateMonitoringAlertRequest.builder()

Parameters:

updateMonitoringAlertRequest - A Consumer that will call methods on UpdateMonitoringAlertRequest.Builder to create a request.

Returns:

Result of the UpdateMonitoringAlert operation returned by the service.

See Also:

• AWS API Documentation

updateMonitoringSchedule

default UpdateMonitoringScheduleResponse updateMonitoringSchedule(UpdateMonitoringScheduleRequest updateMonitoringScheduleRequest)
                                                           throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a previously created schedule.

Parameters:

updateMonitoringScheduleRequest -

Returns:

Result of the UpdateMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

updateMonitoringSchedule

default UpdateMonitoringScheduleResponse updateMonitoringSchedule(Consumer<UpdateMonitoringScheduleRequest.Builder> updateMonitoringScheduleRequest)
                                                           throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a previously created schedule.

This is a convenience which creates an instance of the UpdateMonitoringScheduleRequest.Builder avoiding the need to create one manually via UpdateMonitoringScheduleRequest.builder()

Parameters:

updateMonitoringScheduleRequest - A Consumer that will call methods on UpdateMonitoringScheduleRequest.Builder to create a request.

Returns:

Result of the UpdateMonitoringSchedule operation returned by the service.

See Also:

• AWS API Documentation

updateNotebookInstance

default UpdateNotebookInstanceResponse updateNotebookInstance(UpdateNotebookInstanceRequest updateNotebookInstanceRequest)
                                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

Parameters:

updateNotebookInstanceRequest -

Returns:

Result of the UpdateNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

updateNotebookInstance

default UpdateNotebookInstanceResponse updateNotebookInstance(Consumer<UpdateNotebookInstanceRequest.Builder> updateNotebookInstanceRequest)
                                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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.

This is a convenience which creates an instance of the UpdateNotebookInstanceRequest.Builder avoiding the need to create one manually via UpdateNotebookInstanceRequest.builder()

Parameters:

updateNotebookInstanceRequest - A Consumer that will call methods on UpdateNotebookInstanceRequest.Builder to create a request.

Returns:

Result of the UpdateNotebookInstance operation returned by the service.

See Also:

• AWS API Documentation

updateNotebookInstanceLifecycleConfig

default UpdateNotebookInstanceLifecycleConfigResponse updateNotebookInstanceLifecycleConfig(UpdateNotebookInstanceLifecycleConfigRequest updateNotebookInstanceLifecycleConfigRequest)
                                                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.

Parameters:

updateNotebookInstanceLifecycleConfigRequest -

Returns:

Result of the UpdateNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

updateNotebookInstanceLifecycleConfig

default UpdateNotebookInstanceLifecycleConfigResponse updateNotebookInstanceLifecycleConfig(Consumer<UpdateNotebookInstanceLifecycleConfigRequest.Builder> updateNotebookInstanceLifecycleConfigRequest)
                                                                                     throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

updateNotebookInstanceLifecycleConfigRequest - A Consumer that will call methods on UpdateNotebookInstanceLifecycleConfigRequest.Builder to create a request.

Returns:

Result of the UpdateNotebookInstanceLifecycleConfig operation returned by the service.

See Also:

• AWS API Documentation

updatePartnerApp

default UpdatePartnerAppResponse updatePartnerApp(UpdatePartnerAppRequest updatePartnerAppRequest)
                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates all of the SageMaker Partner AI Apps in an account.

Parameters:

updatePartnerAppRequest -

Returns:

Result of the UpdatePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

updatePartnerApp

default UpdatePartnerAppResponse updatePartnerApp(Consumer<UpdatePartnerAppRequest.Builder> updatePartnerAppRequest)
                                           throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates all of the SageMaker Partner AI Apps in an account.

This is a convenience which creates an instance of the UpdatePartnerAppRequest.Builder avoiding the need to create one manually via UpdatePartnerAppRequest.builder()

Parameters:

updatePartnerAppRequest - A Consumer that will call methods on UpdatePartnerAppRequest.Builder to create a request.

Returns:

Result of the UpdatePartnerApp operation returned by the service.

See Also:

• AWS API Documentation

updatePipeline

default UpdatePipelineResponse updatePipeline(UpdatePipelineRequest updatePipelineRequest)
                                       throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a pipeline.

Parameters:

updatePipelineRequest -

Returns:

Result of the UpdatePipeline operation returned by the service.

See Also:

• AWS API Documentation

updatePipeline

default UpdatePipelineResponse updatePipeline(Consumer<UpdatePipelineRequest.Builder> updatePipelineRequest)
                                       throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a pipeline.

This is a convenience which creates an instance of the UpdatePipelineRequest.Builder avoiding the need to create one manually via UpdatePipelineRequest.builder()

Parameters:

updatePipelineRequest - A Consumer that will call methods on UpdatePipelineRequest.Builder to create a request.

Returns:

Result of the UpdatePipeline operation returned by the service.

See Also:

• AWS API Documentation

updatePipelineExecution

default UpdatePipelineExecutionResponse updatePipelineExecution(UpdatePipelineExecutionRequest updatePipelineExecutionRequest)
                                                         throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a pipeline execution.

Parameters:

updatePipelineExecutionRequest -

Returns:

Result of the UpdatePipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

updatePipelineExecution

default UpdatePipelineExecutionResponse updatePipelineExecution(Consumer<UpdatePipelineExecutionRequest.Builder> updatePipelineExecutionRequest)
                                                         throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a pipeline execution.

This is a convenience which creates an instance of the UpdatePipelineExecutionRequest.Builder avoiding the need to create one manually via UpdatePipelineExecutionRequest.builder()

Parameters:

updatePipelineExecutionRequest - A Consumer that will call methods on UpdatePipelineExecutionRequest.Builder to create a request.

Returns:

Result of the UpdatePipelineExecution operation returned by the service.

See Also:

• AWS API Documentation

updatePipelineVersion

default UpdatePipelineVersionResponse updatePipelineVersion(UpdatePipelineVersionRequest updatePipelineVersionRequest)
                                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a pipeline version.

Parameters:

updatePipelineVersionRequest -

Returns:

Result of the UpdatePipelineVersion operation returned by the service.

See Also:

• AWS API Documentation

updatePipelineVersion

default UpdatePipelineVersionResponse updatePipelineVersion(Consumer<UpdatePipelineVersionRequest.Builder> updatePipelineVersionRequest)
                                                     throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a pipeline version.

This is a convenience which creates an instance of the UpdatePipelineVersionRequest.Builder avoiding the need to create one manually via UpdatePipelineVersionRequest.builder()

Parameters:

updatePipelineVersionRequest - A Consumer that will call methods on UpdatePipelineVersionRequest.Builder to create a request.

Returns:

Result of the UpdatePipelineVersion operation returned by the service.

See Also:

• AWS API Documentation

updateProject

default UpdateProjectResponse updateProject(UpdateProjectRequest updateProjectRequest)
                                     throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.

You must not update a project that is in use. If you update the ServiceCatalogProvisioningUpdateDetails of a project that is active or being created, or updated, you may lose resources already created by the project.

Parameters:

updateProjectRequest -

Returns:

Result of the UpdateProject operation returned by the service.

See Also:

• AWS API Documentation

updateProject

default UpdateProjectResponse updateProject(Consumer<UpdateProjectRequest.Builder> updateProjectRequest)
                                     throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.

You must not update a project that is in use. If you update the ServiceCatalogProvisioningUpdateDetails of a project that is active or being created, or updated, you may lose resources already created by the project.

This is a convenience which creates an instance of the UpdateProjectRequest.Builder avoiding the need to create one manually via UpdateProjectRequest.builder()

Parameters:

updateProjectRequest - A Consumer that will call methods on UpdateProjectRequest.Builder to create a request.

Returns:

Result of the UpdateProject operation returned by the service.

See Also:

• AWS API Documentation

updateSpace

default UpdateSpaceResponse updateSpace(UpdateSpaceRequest updateSpaceRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the settings of a space.

You can't edit the app type of a space in the SpaceSettings.

Parameters:

updateSpaceRequest -

Returns:

Result of the UpdateSpace operation returned by the service.

See Also:

• AWS API Documentation

updateSpace

default UpdateSpaceResponse updateSpace(Consumer<UpdateSpaceRequest.Builder> updateSpaceRequest)
                                 throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the settings of a space.

You can't edit the app type of a space in the SpaceSettings.

This is a convenience which creates an instance of the UpdateSpaceRequest.Builder avoiding the need to create one manually via UpdateSpaceRequest.builder()

Parameters:

updateSpaceRequest - A Consumer that will call methods on UpdateSpaceRequest.Builder to create a request.

Returns:

Result of the UpdateSpace operation returned by the service.

See Also:

• AWS API Documentation

updateTrainingJob

default UpdateTrainingJobResponse updateTrainingJob(UpdateTrainingJobRequest updateTrainingJobRequest)
                                             throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.

Parameters:

updateTrainingJobRequest -

Returns:

Result of the UpdateTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

updateTrainingJob

default UpdateTrainingJobResponse updateTrainingJob(Consumer<UpdateTrainingJobRequest.Builder> updateTrainingJobRequest)
                                             throws ResourceNotFoundException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.

This is a convenience which creates an instance of the UpdateTrainingJobRequest.Builder avoiding the need to create one manually via UpdateTrainingJobRequest.builder()

Parameters:

updateTrainingJobRequest - A Consumer that will call methods on UpdateTrainingJobRequest.Builder to create a request.

Returns:

Result of the UpdateTrainingJob operation returned by the service.

See Also:

• AWS API Documentation

updateTrial

default UpdateTrialResponse updateTrial(UpdateTrialRequest updateTrialRequest)
                                 throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the display name of a trial.

Parameters:

updateTrialRequest -

Returns:

Result of the UpdateTrial operation returned by the service.

See Also:

• AWS API Documentation

updateTrial

default UpdateTrialResponse updateTrial(Consumer<UpdateTrialRequest.Builder> updateTrialRequest)
                                 throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates the display name of a trial.

This is a convenience which creates an instance of the UpdateTrialRequest.Builder avoiding the need to create one manually via UpdateTrialRequest.builder()

Parameters:

updateTrialRequest - A Consumer that will call methods on UpdateTrialRequest.Builder to create a request.

Returns:

Result of the UpdateTrial operation returned by the service.

See Also:

• AWS API Documentation

updateTrialComponent

default UpdateTrialComponentResponse updateTrialComponent(UpdateTrialComponentRequest updateTrialComponentRequest)
                                                   throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates one or more properties of a trial component.

Parameters:

updateTrialComponentRequest -

Returns:

Result of the UpdateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

updateTrialComponent

default UpdateTrialComponentResponse updateTrialComponent(Consumer<UpdateTrialComponentRequest.Builder> updateTrialComponentRequest)
                                                   throws ConflictException,
ResourceNotFoundException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates one or more properties of a trial component.

This is a convenience which creates an instance of the UpdateTrialComponentRequest.Builder avoiding the need to create one manually via UpdateTrialComponentRequest.builder()

Parameters:

updateTrialComponentRequest - A Consumer that will call methods on UpdateTrialComponentRequest.Builder to create a request.

Returns:

Result of the UpdateTrialComponent operation returned by the service.

See Also:

• AWS API Documentation

updateUserProfile

default UpdateUserProfileResponse updateUserProfile(UpdateUserProfileRequest updateUserProfileRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a user profile.

Parameters:

updateUserProfileRequest -

Returns:

Result of the UpdateUserProfile operation returned by the service.

See Also:

• AWS API Documentation

updateUserProfile

default UpdateUserProfileResponse updateUserProfile(Consumer<UpdateUserProfileRequest.Builder> updateUserProfileRequest)
                                             throws ResourceNotFoundException,
ResourceInUseException,
ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates a user profile.

This is a convenience which creates an instance of the UpdateUserProfileRequest.Builder avoiding the need to create one manually via UpdateUserProfileRequest.builder()

Parameters:

updateUserProfileRequest - A Consumer that will call methods on UpdateUserProfileRequest.Builder to create a request.

Returns:

Result of the UpdateUserProfile operation returned by the service.

See Also:

• AWS API Documentation

updateWorkforce

default UpdateWorkforceResponse updateWorkforce(UpdateWorkforceRequest updateWorkforceRequest)
                                         throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.

The worker portal is now supported in VPC and public internet.

Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks using any IP address outside the specified range are denied and get a Not Found error message on the worker portal.

To restrict public internet access for all workers, configure the SourceIpConfig CIDR value. For example, when using SourceIpConfig with an IpAddressType of IPv4, you can restrict access to the IPv4 CIDR block "10.0.0.0/16". When using an IpAddressType of dualstack, you can specify both the IPv4 and IPv6 CIDR blocks, such as "10.0.0.0/16" for IPv4 only, "2001:db8:1234:1a00::/56" for IPv6 only, or "10.0.0.0/16" and "2001:db8:1234:1a00::/56" for dual stack.

Amazon SageMaker does not support Source Ip restriction for worker portals in VPC.

Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.

You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the DeleteWorkteam operation.

After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the DescribeWorkforce operation.

This operation only applies to private workforces.

Parameters:

updateWorkforceRequest -

Returns:

Result of the UpdateWorkforce operation returned by the service.

See Also:

• AWS API Documentation

updateWorkforce

default UpdateWorkforceResponse updateWorkforce(Consumer<UpdateWorkforceRequest.Builder> updateWorkforceRequest)
                                         throws ConflictException,
AwsServiceException,
SdkClientException,
SageMakerException

Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.

The worker portal is now supported in VPC and public internet.

Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks using any IP address outside the specified range are denied and get a Not Found error message on the worker portal.

To restrict public internet access for all workers, configure the SourceIpConfig CIDR value. For example, when using SourceIpConfig with an IpAddressType of IPv4, you can restrict access to the IPv4 CIDR block "10.0.0.0/16". When using an IpAddressType of dualstack, you can specify both the IPv4 and IPv6 CIDR blocks, such as "10.0.0.0/16" for IPv4 only, "2001:db8:1234:1a00::/56" for IPv6 only, or "10.0.0.0/16" and "2001:db8:1234:1a00::/56" for dual stack.

Amazon SageMaker does not support Source Ip restriction for worker portals in VPC.

Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.

You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the DeleteWorkteam operation.

After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the DescribeWorkforce operation.

This operation only applies to private workforces.

This is a convenience which creates an instance of the UpdateWorkforceRequest.Builder avoiding the need to create one manually via UpdateWorkforceRequest.builder()

Parameters:

updateWorkforceRequest - A Consumer that will call methods on UpdateWorkforceRequest.Builder to create a request.

Returns:

Result of the UpdateWorkforce operation returned by the service.

See Also:

• AWS API Documentation

updateWorkteam

default UpdateWorkteamResponse updateWorkteam(UpdateWorkteamRequest updateWorkteamRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

Updates an existing work team with new member definitions or description.

Parameters:

updateWorkteamRequest -

Returns:

Result of the UpdateWorkteam operation returned by the service.

See Also:

• AWS API Documentation

updateWorkteam

default UpdateWorkteamResponse updateWorkteam(Consumer<UpdateWorkteamRequest.Builder> updateWorkteamRequest)
                                       throws ResourceLimitExceededException,
AwsServiceException,
SdkClientException,
SageMakerException

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()

Parameters:

updateWorkteamRequest - A Consumer that will call methods on UpdateWorkteamRequest.Builder to create a request.

Returns:

Result of the UpdateWorkteam operation returned by the service.

See Also:

• AWS API Documentation

waiter

default SageMakerWaiter waiter()

Create an instance of SageMakerWaiter using this client.

Waiters created via this method are managed by the SDK and resources will be released when the service client is closed.

Returns:

an instance of SageMakerWaiter

create

static SageMakerClient create()

Create a SageMakerClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.

builder

static SageMakerClientBuilder builder()

Create a builder that can be used to configure and create a SageMakerClient.

serviceMetadata

static ServiceMetadata serviceMetadata()

serviceClientConfiguration

default SageMakerServiceClientConfiguration serviceClientConfiguration()

Description copied from interface: SdkClient

The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration

Specified by:

serviceClientConfiguration in interface AwsClient

Specified by:

serviceClientConfiguration in interface SdkClient

Returns:

SdkServiceClientConfiguration