AWS SDK for C++  1.9.126
AWS SDK for C++
Public Types | Public Member Functions | List of all members
Aws::SageMaker::SageMakerClient Class Reference

#include <SageMakerClient.h>

+ Inheritance diagram for Aws::SageMaker::SageMakerClient:

Public Types

typedef Aws::Client::AWSJsonClient BASECLASS
 
- Public Types inherited from Aws::Client::AWSJsonClient
typedef AWSClient BASECLASS
 

Public Member Functions

 SageMakerClient (const Aws::Client::ClientConfiguration &clientConfiguration=Aws::Client::ClientConfiguration())
 
 SageMakerClient (const Aws::Auth::AWSCredentials &credentials, const Aws::Client::ClientConfiguration &clientConfiguration=Aws::Client::ClientConfiguration())
 
 SageMakerClient (const std::shared_ptr< Aws::Auth::AWSCredentialsProvider > &credentialsProvider, const Aws::Client::ClientConfiguration &clientConfiguration=Aws::Client::ClientConfiguration())
 
virtual ~SageMakerClient ()
 
virtual Model::AddAssociationOutcome AddAssociation (const Model::AddAssociationRequest &request) const
 
virtual Model::AddAssociationOutcomeCallable AddAssociationCallable (const Model::AddAssociationRequest &request) const
 
virtual void AddAssociationAsync (const Model::AddAssociationRequest &request, const AddAssociationResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::AddTagsOutcome AddTags (const Model::AddTagsRequest &request) const
 
virtual Model::AddTagsOutcomeCallable AddTagsCallable (const Model::AddTagsRequest &request) const
 
virtual void AddTagsAsync (const Model::AddTagsRequest &request, const AddTagsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::AssociateTrialComponentOutcome AssociateTrialComponent (const Model::AssociateTrialComponentRequest &request) const
 
virtual Model::AssociateTrialComponentOutcomeCallable AssociateTrialComponentCallable (const Model::AssociateTrialComponentRequest &request) const
 
virtual void AssociateTrialComponentAsync (const Model::AssociateTrialComponentRequest &request, const AssociateTrialComponentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateActionOutcome CreateAction (const Model::CreateActionRequest &request) const
 
virtual Model::CreateActionOutcomeCallable CreateActionCallable (const Model::CreateActionRequest &request) const
 
virtual void CreateActionAsync (const Model::CreateActionRequest &request, const CreateActionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateAlgorithmOutcome CreateAlgorithm (const Model::CreateAlgorithmRequest &request) const
 
virtual Model::CreateAlgorithmOutcomeCallable CreateAlgorithmCallable (const Model::CreateAlgorithmRequest &request) const
 
virtual void CreateAlgorithmAsync (const Model::CreateAlgorithmRequest &request, const CreateAlgorithmResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateAppOutcome CreateApp (const Model::CreateAppRequest &request) const
 
virtual Model::CreateAppOutcomeCallable CreateAppCallable (const Model::CreateAppRequest &request) const
 
virtual void CreateAppAsync (const Model::CreateAppRequest &request, const CreateAppResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateAppImageConfigOutcome CreateAppImageConfig (const Model::CreateAppImageConfigRequest &request) const
 
virtual Model::CreateAppImageConfigOutcomeCallable CreateAppImageConfigCallable (const Model::CreateAppImageConfigRequest &request) const
 
virtual void CreateAppImageConfigAsync (const Model::CreateAppImageConfigRequest &request, const CreateAppImageConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateArtifactOutcome CreateArtifact (const Model::CreateArtifactRequest &request) const
 
virtual Model::CreateArtifactOutcomeCallable CreateArtifactCallable (const Model::CreateArtifactRequest &request) const
 
virtual void CreateArtifactAsync (const Model::CreateArtifactRequest &request, const CreateArtifactResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateAutoMLJobOutcome CreateAutoMLJob (const Model::CreateAutoMLJobRequest &request) const
 
virtual Model::CreateAutoMLJobOutcomeCallable CreateAutoMLJobCallable (const Model::CreateAutoMLJobRequest &request) const
 
virtual void CreateAutoMLJobAsync (const Model::CreateAutoMLJobRequest &request, const CreateAutoMLJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateCodeRepositoryOutcome CreateCodeRepository (const Model::CreateCodeRepositoryRequest &request) const
 
virtual Model::CreateCodeRepositoryOutcomeCallable CreateCodeRepositoryCallable (const Model::CreateCodeRepositoryRequest &request) const
 
virtual void CreateCodeRepositoryAsync (const Model::CreateCodeRepositoryRequest &request, const CreateCodeRepositoryResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateCompilationJobOutcome CreateCompilationJob (const Model::CreateCompilationJobRequest &request) const
 
virtual Model::CreateCompilationJobOutcomeCallable CreateCompilationJobCallable (const Model::CreateCompilationJobRequest &request) const
 
virtual void CreateCompilationJobAsync (const Model::CreateCompilationJobRequest &request, const CreateCompilationJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateContextOutcome CreateContext (const Model::CreateContextRequest &request) const
 
virtual Model::CreateContextOutcomeCallable CreateContextCallable (const Model::CreateContextRequest &request) const
 
virtual void CreateContextAsync (const Model::CreateContextRequest &request, const CreateContextResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateDataQualityJobDefinitionOutcome CreateDataQualityJobDefinition (const Model::CreateDataQualityJobDefinitionRequest &request) const
 
virtual Model::CreateDataQualityJobDefinitionOutcomeCallable CreateDataQualityJobDefinitionCallable (const Model::CreateDataQualityJobDefinitionRequest &request) const
 
virtual void CreateDataQualityJobDefinitionAsync (const Model::CreateDataQualityJobDefinitionRequest &request, const CreateDataQualityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateDeviceFleetOutcome CreateDeviceFleet (const Model::CreateDeviceFleetRequest &request) const
 
virtual Model::CreateDeviceFleetOutcomeCallable CreateDeviceFleetCallable (const Model::CreateDeviceFleetRequest &request) const
 
virtual void CreateDeviceFleetAsync (const Model::CreateDeviceFleetRequest &request, const CreateDeviceFleetResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateDomainOutcome CreateDomain (const Model::CreateDomainRequest &request) const
 
virtual Model::CreateDomainOutcomeCallable CreateDomainCallable (const Model::CreateDomainRequest &request) const
 
virtual void CreateDomainAsync (const Model::CreateDomainRequest &request, const CreateDomainResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateEdgePackagingJobOutcome CreateEdgePackagingJob (const Model::CreateEdgePackagingJobRequest &request) const
 
virtual Model::CreateEdgePackagingJobOutcomeCallable CreateEdgePackagingJobCallable (const Model::CreateEdgePackagingJobRequest &request) const
 
virtual void CreateEdgePackagingJobAsync (const Model::CreateEdgePackagingJobRequest &request, const CreateEdgePackagingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateEndpointOutcome CreateEndpoint (const Model::CreateEndpointRequest &request) const
 
virtual Model::CreateEndpointOutcomeCallable CreateEndpointCallable (const Model::CreateEndpointRequest &request) const
 
virtual void CreateEndpointAsync (const Model::CreateEndpointRequest &request, const CreateEndpointResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateEndpointConfigOutcome CreateEndpointConfig (const Model::CreateEndpointConfigRequest &request) const
 
virtual Model::CreateEndpointConfigOutcomeCallable CreateEndpointConfigCallable (const Model::CreateEndpointConfigRequest &request) const
 
virtual void CreateEndpointConfigAsync (const Model::CreateEndpointConfigRequest &request, const CreateEndpointConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateExperimentOutcome CreateExperiment (const Model::CreateExperimentRequest &request) const
 
virtual Model::CreateExperimentOutcomeCallable CreateExperimentCallable (const Model::CreateExperimentRequest &request) const
 
virtual void CreateExperimentAsync (const Model::CreateExperimentRequest &request, const CreateExperimentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateFeatureGroupOutcome CreateFeatureGroup (const Model::CreateFeatureGroupRequest &request) const
 
virtual Model::CreateFeatureGroupOutcomeCallable CreateFeatureGroupCallable (const Model::CreateFeatureGroupRequest &request) const
 
virtual void CreateFeatureGroupAsync (const Model::CreateFeatureGroupRequest &request, const CreateFeatureGroupResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateFlowDefinitionOutcome CreateFlowDefinition (const Model::CreateFlowDefinitionRequest &request) const
 
virtual Model::CreateFlowDefinitionOutcomeCallable CreateFlowDefinitionCallable (const Model::CreateFlowDefinitionRequest &request) const
 
virtual void CreateFlowDefinitionAsync (const Model::CreateFlowDefinitionRequest &request, const CreateFlowDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateHumanTaskUiOutcome CreateHumanTaskUi (const Model::CreateHumanTaskUiRequest &request) const
 
virtual Model::CreateHumanTaskUiOutcomeCallable CreateHumanTaskUiCallable (const Model::CreateHumanTaskUiRequest &request) const
 
virtual void CreateHumanTaskUiAsync (const Model::CreateHumanTaskUiRequest &request, const CreateHumanTaskUiResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateHyperParameterTuningJobOutcome CreateHyperParameterTuningJob (const Model::CreateHyperParameterTuningJobRequest &request) const
 
virtual Model::CreateHyperParameterTuningJobOutcomeCallable CreateHyperParameterTuningJobCallable (const Model::CreateHyperParameterTuningJobRequest &request) const
 
virtual void CreateHyperParameterTuningJobAsync (const Model::CreateHyperParameterTuningJobRequest &request, const CreateHyperParameterTuningJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateImageOutcome CreateImage (const Model::CreateImageRequest &request) const
 
virtual Model::CreateImageOutcomeCallable CreateImageCallable (const Model::CreateImageRequest &request) const
 
virtual void CreateImageAsync (const Model::CreateImageRequest &request, const CreateImageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateImageVersionOutcome CreateImageVersion (const Model::CreateImageVersionRequest &request) const
 
virtual Model::CreateImageVersionOutcomeCallable CreateImageVersionCallable (const Model::CreateImageVersionRequest &request) const
 
virtual void CreateImageVersionAsync (const Model::CreateImageVersionRequest &request, const CreateImageVersionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateLabelingJobOutcome CreateLabelingJob (const Model::CreateLabelingJobRequest &request) const
 
virtual Model::CreateLabelingJobOutcomeCallable CreateLabelingJobCallable (const Model::CreateLabelingJobRequest &request) const
 
virtual void CreateLabelingJobAsync (const Model::CreateLabelingJobRequest &request, const CreateLabelingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateModelOutcome CreateModel (const Model::CreateModelRequest &request) const
 
virtual Model::CreateModelOutcomeCallable CreateModelCallable (const Model::CreateModelRequest &request) const
 
virtual void CreateModelAsync (const Model::CreateModelRequest &request, const CreateModelResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateModelBiasJobDefinitionOutcome CreateModelBiasJobDefinition (const Model::CreateModelBiasJobDefinitionRequest &request) const
 
virtual Model::CreateModelBiasJobDefinitionOutcomeCallable CreateModelBiasJobDefinitionCallable (const Model::CreateModelBiasJobDefinitionRequest &request) const
 
virtual void CreateModelBiasJobDefinitionAsync (const Model::CreateModelBiasJobDefinitionRequest &request, const CreateModelBiasJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateModelExplainabilityJobDefinitionOutcome CreateModelExplainabilityJobDefinition (const Model::CreateModelExplainabilityJobDefinitionRequest &request) const
 
virtual Model::CreateModelExplainabilityJobDefinitionOutcomeCallable CreateModelExplainabilityJobDefinitionCallable (const Model::CreateModelExplainabilityJobDefinitionRequest &request) const
 
virtual void CreateModelExplainabilityJobDefinitionAsync (const Model::CreateModelExplainabilityJobDefinitionRequest &request, const CreateModelExplainabilityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateModelPackageOutcome CreateModelPackage (const Model::CreateModelPackageRequest &request) const
 
virtual Model::CreateModelPackageOutcomeCallable CreateModelPackageCallable (const Model::CreateModelPackageRequest &request) const
 
virtual void CreateModelPackageAsync (const Model::CreateModelPackageRequest &request, const CreateModelPackageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateModelPackageGroupOutcome CreateModelPackageGroup (const Model::CreateModelPackageGroupRequest &request) const
 
virtual Model::CreateModelPackageGroupOutcomeCallable CreateModelPackageGroupCallable (const Model::CreateModelPackageGroupRequest &request) const
 
virtual void CreateModelPackageGroupAsync (const Model::CreateModelPackageGroupRequest &request, const CreateModelPackageGroupResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateModelQualityJobDefinitionOutcome CreateModelQualityJobDefinition (const Model::CreateModelQualityJobDefinitionRequest &request) const
 
virtual Model::CreateModelQualityJobDefinitionOutcomeCallable CreateModelQualityJobDefinitionCallable (const Model::CreateModelQualityJobDefinitionRequest &request) const
 
virtual void CreateModelQualityJobDefinitionAsync (const Model::CreateModelQualityJobDefinitionRequest &request, const CreateModelQualityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateMonitoringScheduleOutcome CreateMonitoringSchedule (const Model::CreateMonitoringScheduleRequest &request) const
 
virtual Model::CreateMonitoringScheduleOutcomeCallable CreateMonitoringScheduleCallable (const Model::CreateMonitoringScheduleRequest &request) const
 
virtual void CreateMonitoringScheduleAsync (const Model::CreateMonitoringScheduleRequest &request, const CreateMonitoringScheduleResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateNotebookInstanceOutcome CreateNotebookInstance (const Model::CreateNotebookInstanceRequest &request) const
 
virtual Model::CreateNotebookInstanceOutcomeCallable CreateNotebookInstanceCallable (const Model::CreateNotebookInstanceRequest &request) const
 
virtual void CreateNotebookInstanceAsync (const Model::CreateNotebookInstanceRequest &request, const CreateNotebookInstanceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateNotebookInstanceLifecycleConfigOutcome CreateNotebookInstanceLifecycleConfig (const Model::CreateNotebookInstanceLifecycleConfigRequest &request) const
 
virtual Model::CreateNotebookInstanceLifecycleConfigOutcomeCallable CreateNotebookInstanceLifecycleConfigCallable (const Model::CreateNotebookInstanceLifecycleConfigRequest &request) const
 
virtual void CreateNotebookInstanceLifecycleConfigAsync (const Model::CreateNotebookInstanceLifecycleConfigRequest &request, const CreateNotebookInstanceLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreatePipelineOutcome CreatePipeline (const Model::CreatePipelineRequest &request) const
 
virtual Model::CreatePipelineOutcomeCallable CreatePipelineCallable (const Model::CreatePipelineRequest &request) const
 
virtual void CreatePipelineAsync (const Model::CreatePipelineRequest &request, const CreatePipelineResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreatePresignedDomainUrlOutcome CreatePresignedDomainUrl (const Model::CreatePresignedDomainUrlRequest &request) const
 
virtual Model::CreatePresignedDomainUrlOutcomeCallable CreatePresignedDomainUrlCallable (const Model::CreatePresignedDomainUrlRequest &request) const
 
virtual void CreatePresignedDomainUrlAsync (const Model::CreatePresignedDomainUrlRequest &request, const CreatePresignedDomainUrlResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreatePresignedNotebookInstanceUrlOutcome CreatePresignedNotebookInstanceUrl (const Model::CreatePresignedNotebookInstanceUrlRequest &request) const
 
virtual Model::CreatePresignedNotebookInstanceUrlOutcomeCallable CreatePresignedNotebookInstanceUrlCallable (const Model::CreatePresignedNotebookInstanceUrlRequest &request) const
 
virtual void CreatePresignedNotebookInstanceUrlAsync (const Model::CreatePresignedNotebookInstanceUrlRequest &request, const CreatePresignedNotebookInstanceUrlResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateProcessingJobOutcome CreateProcessingJob (const Model::CreateProcessingJobRequest &request) const
 
virtual Model::CreateProcessingJobOutcomeCallable CreateProcessingJobCallable (const Model::CreateProcessingJobRequest &request) const
 
virtual void CreateProcessingJobAsync (const Model::CreateProcessingJobRequest &request, const CreateProcessingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateProjectOutcome CreateProject (const Model::CreateProjectRequest &request) const
 
virtual Model::CreateProjectOutcomeCallable CreateProjectCallable (const Model::CreateProjectRequest &request) const
 
virtual void CreateProjectAsync (const Model::CreateProjectRequest &request, const CreateProjectResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateStudioLifecycleConfigOutcome CreateStudioLifecycleConfig (const Model::CreateStudioLifecycleConfigRequest &request) const
 
virtual Model::CreateStudioLifecycleConfigOutcomeCallable CreateStudioLifecycleConfigCallable (const Model::CreateStudioLifecycleConfigRequest &request) const
 
virtual void CreateStudioLifecycleConfigAsync (const Model::CreateStudioLifecycleConfigRequest &request, const CreateStudioLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateTrainingJobOutcome CreateTrainingJob (const Model::CreateTrainingJobRequest &request) const
 
virtual Model::CreateTrainingJobOutcomeCallable CreateTrainingJobCallable (const Model::CreateTrainingJobRequest &request) const
 
virtual void CreateTrainingJobAsync (const Model::CreateTrainingJobRequest &request, const CreateTrainingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateTransformJobOutcome CreateTransformJob (const Model::CreateTransformJobRequest &request) const
 
virtual Model::CreateTransformJobOutcomeCallable CreateTransformJobCallable (const Model::CreateTransformJobRequest &request) const
 
virtual void CreateTransformJobAsync (const Model::CreateTransformJobRequest &request, const CreateTransformJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateTrialOutcome CreateTrial (const Model::CreateTrialRequest &request) const
 
virtual Model::CreateTrialOutcomeCallable CreateTrialCallable (const Model::CreateTrialRequest &request) const
 
virtual void CreateTrialAsync (const Model::CreateTrialRequest &request, const CreateTrialResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateTrialComponentOutcome CreateTrialComponent (const Model::CreateTrialComponentRequest &request) const
 
virtual Model::CreateTrialComponentOutcomeCallable CreateTrialComponentCallable (const Model::CreateTrialComponentRequest &request) const
 
virtual void CreateTrialComponentAsync (const Model::CreateTrialComponentRequest &request, const CreateTrialComponentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateUserProfileOutcome CreateUserProfile (const Model::CreateUserProfileRequest &request) const
 
virtual Model::CreateUserProfileOutcomeCallable CreateUserProfileCallable (const Model::CreateUserProfileRequest &request) const
 
virtual void CreateUserProfileAsync (const Model::CreateUserProfileRequest &request, const CreateUserProfileResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateWorkforceOutcome CreateWorkforce (const Model::CreateWorkforceRequest &request) const
 
virtual Model::CreateWorkforceOutcomeCallable CreateWorkforceCallable (const Model::CreateWorkforceRequest &request) const
 
virtual void CreateWorkforceAsync (const Model::CreateWorkforceRequest &request, const CreateWorkforceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::CreateWorkteamOutcome CreateWorkteam (const Model::CreateWorkteamRequest &request) const
 
virtual Model::CreateWorkteamOutcomeCallable CreateWorkteamCallable (const Model::CreateWorkteamRequest &request) const
 
virtual void CreateWorkteamAsync (const Model::CreateWorkteamRequest &request, const CreateWorkteamResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteActionOutcome DeleteAction (const Model::DeleteActionRequest &request) const
 
virtual Model::DeleteActionOutcomeCallable DeleteActionCallable (const Model::DeleteActionRequest &request) const
 
virtual void DeleteActionAsync (const Model::DeleteActionRequest &request, const DeleteActionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteAlgorithmOutcome DeleteAlgorithm (const Model::DeleteAlgorithmRequest &request) const
 
virtual Model::DeleteAlgorithmOutcomeCallable DeleteAlgorithmCallable (const Model::DeleteAlgorithmRequest &request) const
 
virtual void DeleteAlgorithmAsync (const Model::DeleteAlgorithmRequest &request, const DeleteAlgorithmResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteAppOutcome DeleteApp (const Model::DeleteAppRequest &request) const
 
virtual Model::DeleteAppOutcomeCallable DeleteAppCallable (const Model::DeleteAppRequest &request) const
 
virtual void DeleteAppAsync (const Model::DeleteAppRequest &request, const DeleteAppResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteAppImageConfigOutcome DeleteAppImageConfig (const Model::DeleteAppImageConfigRequest &request) const
 
virtual Model::DeleteAppImageConfigOutcomeCallable DeleteAppImageConfigCallable (const Model::DeleteAppImageConfigRequest &request) const
 
virtual void DeleteAppImageConfigAsync (const Model::DeleteAppImageConfigRequest &request, const DeleteAppImageConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteArtifactOutcome DeleteArtifact (const Model::DeleteArtifactRequest &request) const
 
virtual Model::DeleteArtifactOutcomeCallable DeleteArtifactCallable (const Model::DeleteArtifactRequest &request) const
 
virtual void DeleteArtifactAsync (const Model::DeleteArtifactRequest &request, const DeleteArtifactResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteAssociationOutcome DeleteAssociation (const Model::DeleteAssociationRequest &request) const
 
virtual Model::DeleteAssociationOutcomeCallable DeleteAssociationCallable (const Model::DeleteAssociationRequest &request) const
 
virtual void DeleteAssociationAsync (const Model::DeleteAssociationRequest &request, const DeleteAssociationResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteCodeRepositoryOutcome DeleteCodeRepository (const Model::DeleteCodeRepositoryRequest &request) const
 
virtual Model::DeleteCodeRepositoryOutcomeCallable DeleteCodeRepositoryCallable (const Model::DeleteCodeRepositoryRequest &request) const
 
virtual void DeleteCodeRepositoryAsync (const Model::DeleteCodeRepositoryRequest &request, const DeleteCodeRepositoryResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteContextOutcome DeleteContext (const Model::DeleteContextRequest &request) const
 
virtual Model::DeleteContextOutcomeCallable DeleteContextCallable (const Model::DeleteContextRequest &request) const
 
virtual void DeleteContextAsync (const Model::DeleteContextRequest &request, const DeleteContextResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteDataQualityJobDefinitionOutcome DeleteDataQualityJobDefinition (const Model::DeleteDataQualityJobDefinitionRequest &request) const
 
virtual Model::DeleteDataQualityJobDefinitionOutcomeCallable DeleteDataQualityJobDefinitionCallable (const Model::DeleteDataQualityJobDefinitionRequest &request) const
 
virtual void DeleteDataQualityJobDefinitionAsync (const Model::DeleteDataQualityJobDefinitionRequest &request, const DeleteDataQualityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteDeviceFleetOutcome DeleteDeviceFleet (const Model::DeleteDeviceFleetRequest &request) const
 
virtual Model::DeleteDeviceFleetOutcomeCallable DeleteDeviceFleetCallable (const Model::DeleteDeviceFleetRequest &request) const
 
virtual void DeleteDeviceFleetAsync (const Model::DeleteDeviceFleetRequest &request, const DeleteDeviceFleetResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteDomainOutcome DeleteDomain (const Model::DeleteDomainRequest &request) const
 
virtual Model::DeleteDomainOutcomeCallable DeleteDomainCallable (const Model::DeleteDomainRequest &request) const
 
virtual void DeleteDomainAsync (const Model::DeleteDomainRequest &request, const DeleteDomainResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteEndpointOutcome DeleteEndpoint (const Model::DeleteEndpointRequest &request) const
 
virtual Model::DeleteEndpointOutcomeCallable DeleteEndpointCallable (const Model::DeleteEndpointRequest &request) const
 
virtual void DeleteEndpointAsync (const Model::DeleteEndpointRequest &request, const DeleteEndpointResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteEndpointConfigOutcome DeleteEndpointConfig (const Model::DeleteEndpointConfigRequest &request) const
 
virtual Model::DeleteEndpointConfigOutcomeCallable DeleteEndpointConfigCallable (const Model::DeleteEndpointConfigRequest &request) const
 
virtual void DeleteEndpointConfigAsync (const Model::DeleteEndpointConfigRequest &request, const DeleteEndpointConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteExperimentOutcome DeleteExperiment (const Model::DeleteExperimentRequest &request) const
 
virtual Model::DeleteExperimentOutcomeCallable DeleteExperimentCallable (const Model::DeleteExperimentRequest &request) const
 
virtual void DeleteExperimentAsync (const Model::DeleteExperimentRequest &request, const DeleteExperimentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteFeatureGroupOutcome DeleteFeatureGroup (const Model::DeleteFeatureGroupRequest &request) const
 
virtual Model::DeleteFeatureGroupOutcomeCallable DeleteFeatureGroupCallable (const Model::DeleteFeatureGroupRequest &request) const
 
virtual void DeleteFeatureGroupAsync (const Model::DeleteFeatureGroupRequest &request, const DeleteFeatureGroupResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteFlowDefinitionOutcome DeleteFlowDefinition (const Model::DeleteFlowDefinitionRequest &request) const
 
virtual Model::DeleteFlowDefinitionOutcomeCallable DeleteFlowDefinitionCallable (const Model::DeleteFlowDefinitionRequest &request) const
 
virtual void DeleteFlowDefinitionAsync (const Model::DeleteFlowDefinitionRequest &request, const DeleteFlowDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteHumanTaskUiOutcome DeleteHumanTaskUi (const Model::DeleteHumanTaskUiRequest &request) const
 
virtual Model::DeleteHumanTaskUiOutcomeCallable DeleteHumanTaskUiCallable (const Model::DeleteHumanTaskUiRequest &request) const
 
virtual void DeleteHumanTaskUiAsync (const Model::DeleteHumanTaskUiRequest &request, const DeleteHumanTaskUiResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteImageOutcome DeleteImage (const Model::DeleteImageRequest &request) const
 
virtual Model::DeleteImageOutcomeCallable DeleteImageCallable (const Model::DeleteImageRequest &request) const
 
virtual void DeleteImageAsync (const Model::DeleteImageRequest &request, const DeleteImageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteImageVersionOutcome DeleteImageVersion (const Model::DeleteImageVersionRequest &request) const
 
virtual Model::DeleteImageVersionOutcomeCallable DeleteImageVersionCallable (const Model::DeleteImageVersionRequest &request) const
 
virtual void DeleteImageVersionAsync (const Model::DeleteImageVersionRequest &request, const DeleteImageVersionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelOutcome DeleteModel (const Model::DeleteModelRequest &request) const
 
virtual Model::DeleteModelOutcomeCallable DeleteModelCallable (const Model::DeleteModelRequest &request) const
 
virtual void DeleteModelAsync (const Model::DeleteModelRequest &request, const DeleteModelResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelBiasJobDefinitionOutcome DeleteModelBiasJobDefinition (const Model::DeleteModelBiasJobDefinitionRequest &request) const
 
virtual Model::DeleteModelBiasJobDefinitionOutcomeCallable DeleteModelBiasJobDefinitionCallable (const Model::DeleteModelBiasJobDefinitionRequest &request) const
 
virtual void DeleteModelBiasJobDefinitionAsync (const Model::DeleteModelBiasJobDefinitionRequest &request, const DeleteModelBiasJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelExplainabilityJobDefinitionOutcome DeleteModelExplainabilityJobDefinition (const Model::DeleteModelExplainabilityJobDefinitionRequest &request) const
 
virtual Model::DeleteModelExplainabilityJobDefinitionOutcomeCallable DeleteModelExplainabilityJobDefinitionCallable (const Model::DeleteModelExplainabilityJobDefinitionRequest &request) const
 
virtual void DeleteModelExplainabilityJobDefinitionAsync (const Model::DeleteModelExplainabilityJobDefinitionRequest &request, const DeleteModelExplainabilityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelPackageOutcome DeleteModelPackage (const Model::DeleteModelPackageRequest &request) const
 
virtual Model::DeleteModelPackageOutcomeCallable DeleteModelPackageCallable (const Model::DeleteModelPackageRequest &request) const
 
virtual void DeleteModelPackageAsync (const Model::DeleteModelPackageRequest &request, const DeleteModelPackageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelPackageGroupOutcome DeleteModelPackageGroup (const Model::DeleteModelPackageGroupRequest &request) const
 
virtual Model::DeleteModelPackageGroupOutcomeCallable DeleteModelPackageGroupCallable (const Model::DeleteModelPackageGroupRequest &request) const
 
virtual void DeleteModelPackageGroupAsync (const Model::DeleteModelPackageGroupRequest &request, const DeleteModelPackageGroupResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelPackageGroupPolicyOutcome DeleteModelPackageGroupPolicy (const Model::DeleteModelPackageGroupPolicyRequest &request) const
 
virtual Model::DeleteModelPackageGroupPolicyOutcomeCallable DeleteModelPackageGroupPolicyCallable (const Model::DeleteModelPackageGroupPolicyRequest &request) const
 
virtual void DeleteModelPackageGroupPolicyAsync (const Model::DeleteModelPackageGroupPolicyRequest &request, const DeleteModelPackageGroupPolicyResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteModelQualityJobDefinitionOutcome DeleteModelQualityJobDefinition (const Model::DeleteModelQualityJobDefinitionRequest &request) const
 
virtual Model::DeleteModelQualityJobDefinitionOutcomeCallable DeleteModelQualityJobDefinitionCallable (const Model::DeleteModelQualityJobDefinitionRequest &request) const
 
virtual void DeleteModelQualityJobDefinitionAsync (const Model::DeleteModelQualityJobDefinitionRequest &request, const DeleteModelQualityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteMonitoringScheduleOutcome DeleteMonitoringSchedule (const Model::DeleteMonitoringScheduleRequest &request) const
 
virtual Model::DeleteMonitoringScheduleOutcomeCallable DeleteMonitoringScheduleCallable (const Model::DeleteMonitoringScheduleRequest &request) const
 
virtual void DeleteMonitoringScheduleAsync (const Model::DeleteMonitoringScheduleRequest &request, const DeleteMonitoringScheduleResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteNotebookInstanceOutcome DeleteNotebookInstance (const Model::DeleteNotebookInstanceRequest &request) const
 
virtual Model::DeleteNotebookInstanceOutcomeCallable DeleteNotebookInstanceCallable (const Model::DeleteNotebookInstanceRequest &request) const
 
virtual void DeleteNotebookInstanceAsync (const Model::DeleteNotebookInstanceRequest &request, const DeleteNotebookInstanceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteNotebookInstanceLifecycleConfigOutcome DeleteNotebookInstanceLifecycleConfig (const Model::DeleteNotebookInstanceLifecycleConfigRequest &request) const
 
virtual Model::DeleteNotebookInstanceLifecycleConfigOutcomeCallable DeleteNotebookInstanceLifecycleConfigCallable (const Model::DeleteNotebookInstanceLifecycleConfigRequest &request) const
 
virtual void DeleteNotebookInstanceLifecycleConfigAsync (const Model::DeleteNotebookInstanceLifecycleConfigRequest &request, const DeleteNotebookInstanceLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeletePipelineOutcome DeletePipeline (const Model::DeletePipelineRequest &request) const
 
virtual Model::DeletePipelineOutcomeCallable DeletePipelineCallable (const Model::DeletePipelineRequest &request) const
 
virtual void DeletePipelineAsync (const Model::DeletePipelineRequest &request, const DeletePipelineResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteProjectOutcome DeleteProject (const Model::DeleteProjectRequest &request) const
 
virtual Model::DeleteProjectOutcomeCallable DeleteProjectCallable (const Model::DeleteProjectRequest &request) const
 
virtual void DeleteProjectAsync (const Model::DeleteProjectRequest &request, const DeleteProjectResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteStudioLifecycleConfigOutcome DeleteStudioLifecycleConfig (const Model::DeleteStudioLifecycleConfigRequest &request) const
 
virtual Model::DeleteStudioLifecycleConfigOutcomeCallable DeleteStudioLifecycleConfigCallable (const Model::DeleteStudioLifecycleConfigRequest &request) const
 
virtual void DeleteStudioLifecycleConfigAsync (const Model::DeleteStudioLifecycleConfigRequest &request, const DeleteStudioLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteTagsOutcome DeleteTags (const Model::DeleteTagsRequest &request) const
 
virtual Model::DeleteTagsOutcomeCallable DeleteTagsCallable (const Model::DeleteTagsRequest &request) const
 
virtual void DeleteTagsAsync (const Model::DeleteTagsRequest &request, const DeleteTagsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteTrialOutcome DeleteTrial (const Model::DeleteTrialRequest &request) const
 
virtual Model::DeleteTrialOutcomeCallable DeleteTrialCallable (const Model::DeleteTrialRequest &request) const
 
virtual void DeleteTrialAsync (const Model::DeleteTrialRequest &request, const DeleteTrialResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteTrialComponentOutcome DeleteTrialComponent (const Model::DeleteTrialComponentRequest &request) const
 
virtual Model::DeleteTrialComponentOutcomeCallable DeleteTrialComponentCallable (const Model::DeleteTrialComponentRequest &request) const
 
virtual void DeleteTrialComponentAsync (const Model::DeleteTrialComponentRequest &request, const DeleteTrialComponentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteUserProfileOutcome DeleteUserProfile (const Model::DeleteUserProfileRequest &request) const
 
virtual Model::DeleteUserProfileOutcomeCallable DeleteUserProfileCallable (const Model::DeleteUserProfileRequest &request) const
 
virtual void DeleteUserProfileAsync (const Model::DeleteUserProfileRequest &request, const DeleteUserProfileResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteWorkforceOutcome DeleteWorkforce (const Model::DeleteWorkforceRequest &request) const
 
virtual Model::DeleteWorkforceOutcomeCallable DeleteWorkforceCallable (const Model::DeleteWorkforceRequest &request) const
 
virtual void DeleteWorkforceAsync (const Model::DeleteWorkforceRequest &request, const DeleteWorkforceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeleteWorkteamOutcome DeleteWorkteam (const Model::DeleteWorkteamRequest &request) const
 
virtual Model::DeleteWorkteamOutcomeCallable DeleteWorkteamCallable (const Model::DeleteWorkteamRequest &request) const
 
virtual void DeleteWorkteamAsync (const Model::DeleteWorkteamRequest &request, const DeleteWorkteamResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DeregisterDevicesOutcome DeregisterDevices (const Model::DeregisterDevicesRequest &request) const
 
virtual Model::DeregisterDevicesOutcomeCallable DeregisterDevicesCallable (const Model::DeregisterDevicesRequest &request) const
 
virtual void DeregisterDevicesAsync (const Model::DeregisterDevicesRequest &request, const DeregisterDevicesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeActionOutcome DescribeAction (const Model::DescribeActionRequest &request) const
 
virtual Model::DescribeActionOutcomeCallable DescribeActionCallable (const Model::DescribeActionRequest &request) const
 
virtual void DescribeActionAsync (const Model::DescribeActionRequest &request, const DescribeActionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeAlgorithmOutcome DescribeAlgorithm (const Model::DescribeAlgorithmRequest &request) const
 
virtual Model::DescribeAlgorithmOutcomeCallable DescribeAlgorithmCallable (const Model::DescribeAlgorithmRequest &request) const
 
virtual void DescribeAlgorithmAsync (const Model::DescribeAlgorithmRequest &request, const DescribeAlgorithmResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeAppOutcome DescribeApp (const Model::DescribeAppRequest &request) const
 
virtual Model::DescribeAppOutcomeCallable DescribeAppCallable (const Model::DescribeAppRequest &request) const
 
virtual void DescribeAppAsync (const Model::DescribeAppRequest &request, const DescribeAppResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeAppImageConfigOutcome DescribeAppImageConfig (const Model::DescribeAppImageConfigRequest &request) const
 
virtual Model::DescribeAppImageConfigOutcomeCallable DescribeAppImageConfigCallable (const Model::DescribeAppImageConfigRequest &request) const
 
virtual void DescribeAppImageConfigAsync (const Model::DescribeAppImageConfigRequest &request, const DescribeAppImageConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeArtifactOutcome DescribeArtifact (const Model::DescribeArtifactRequest &request) const
 
virtual Model::DescribeArtifactOutcomeCallable DescribeArtifactCallable (const Model::DescribeArtifactRequest &request) const
 
virtual void DescribeArtifactAsync (const Model::DescribeArtifactRequest &request, const DescribeArtifactResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeAutoMLJobOutcome DescribeAutoMLJob (const Model::DescribeAutoMLJobRequest &request) const
 
virtual Model::DescribeAutoMLJobOutcomeCallable DescribeAutoMLJobCallable (const Model::DescribeAutoMLJobRequest &request) const
 
virtual void DescribeAutoMLJobAsync (const Model::DescribeAutoMLJobRequest &request, const DescribeAutoMLJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeCodeRepositoryOutcome DescribeCodeRepository (const Model::DescribeCodeRepositoryRequest &request) const
 
virtual Model::DescribeCodeRepositoryOutcomeCallable DescribeCodeRepositoryCallable (const Model::DescribeCodeRepositoryRequest &request) const
 
virtual void DescribeCodeRepositoryAsync (const Model::DescribeCodeRepositoryRequest &request, const DescribeCodeRepositoryResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeCompilationJobOutcome DescribeCompilationJob (const Model::DescribeCompilationJobRequest &request) const
 
virtual Model::DescribeCompilationJobOutcomeCallable DescribeCompilationJobCallable (const Model::DescribeCompilationJobRequest &request) const
 
virtual void DescribeCompilationJobAsync (const Model::DescribeCompilationJobRequest &request, const DescribeCompilationJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeContextOutcome DescribeContext (const Model::DescribeContextRequest &request) const
 
virtual Model::DescribeContextOutcomeCallable DescribeContextCallable (const Model::DescribeContextRequest &request) const
 
virtual void DescribeContextAsync (const Model::DescribeContextRequest &request, const DescribeContextResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeDataQualityJobDefinitionOutcome DescribeDataQualityJobDefinition (const Model::DescribeDataQualityJobDefinitionRequest &request) const
 
virtual Model::DescribeDataQualityJobDefinitionOutcomeCallable DescribeDataQualityJobDefinitionCallable (const Model::DescribeDataQualityJobDefinitionRequest &request) const
 
virtual void DescribeDataQualityJobDefinitionAsync (const Model::DescribeDataQualityJobDefinitionRequest &request, const DescribeDataQualityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeDeviceOutcome DescribeDevice (const Model::DescribeDeviceRequest &request) const
 
virtual Model::DescribeDeviceOutcomeCallable DescribeDeviceCallable (const Model::DescribeDeviceRequest &request) const
 
virtual void DescribeDeviceAsync (const Model::DescribeDeviceRequest &request, const DescribeDeviceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeDeviceFleetOutcome DescribeDeviceFleet (const Model::DescribeDeviceFleetRequest &request) const
 
virtual Model::DescribeDeviceFleetOutcomeCallable DescribeDeviceFleetCallable (const Model::DescribeDeviceFleetRequest &request) const
 
virtual void DescribeDeviceFleetAsync (const Model::DescribeDeviceFleetRequest &request, const DescribeDeviceFleetResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeDomainOutcome DescribeDomain (const Model::DescribeDomainRequest &request) const
 
virtual Model::DescribeDomainOutcomeCallable DescribeDomainCallable (const Model::DescribeDomainRequest &request) const
 
virtual void DescribeDomainAsync (const Model::DescribeDomainRequest &request, const DescribeDomainResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeEdgePackagingJobOutcome DescribeEdgePackagingJob (const Model::DescribeEdgePackagingJobRequest &request) const
 
virtual Model::DescribeEdgePackagingJobOutcomeCallable DescribeEdgePackagingJobCallable (const Model::DescribeEdgePackagingJobRequest &request) const
 
virtual void DescribeEdgePackagingJobAsync (const Model::DescribeEdgePackagingJobRequest &request, const DescribeEdgePackagingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeEndpointOutcome DescribeEndpoint (const Model::DescribeEndpointRequest &request) const
 
virtual Model::DescribeEndpointOutcomeCallable DescribeEndpointCallable (const Model::DescribeEndpointRequest &request) const
 
virtual void DescribeEndpointAsync (const Model::DescribeEndpointRequest &request, const DescribeEndpointResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeEndpointConfigOutcome DescribeEndpointConfig (const Model::DescribeEndpointConfigRequest &request) const
 
virtual Model::DescribeEndpointConfigOutcomeCallable DescribeEndpointConfigCallable (const Model::DescribeEndpointConfigRequest &request) const
 
virtual void DescribeEndpointConfigAsync (const Model::DescribeEndpointConfigRequest &request, const DescribeEndpointConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeExperimentOutcome DescribeExperiment (const Model::DescribeExperimentRequest &request) const
 
virtual Model::DescribeExperimentOutcomeCallable DescribeExperimentCallable (const Model::DescribeExperimentRequest &request) const
 
virtual void DescribeExperimentAsync (const Model::DescribeExperimentRequest &request, const DescribeExperimentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeFeatureGroupOutcome DescribeFeatureGroup (const Model::DescribeFeatureGroupRequest &request) const
 
virtual Model::DescribeFeatureGroupOutcomeCallable DescribeFeatureGroupCallable (const Model::DescribeFeatureGroupRequest &request) const
 
virtual void DescribeFeatureGroupAsync (const Model::DescribeFeatureGroupRequest &request, const DescribeFeatureGroupResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeFlowDefinitionOutcome DescribeFlowDefinition (const Model::DescribeFlowDefinitionRequest &request) const
 
virtual Model::DescribeFlowDefinitionOutcomeCallable DescribeFlowDefinitionCallable (const Model::DescribeFlowDefinitionRequest &request) const
 
virtual void DescribeFlowDefinitionAsync (const Model::DescribeFlowDefinitionRequest &request, const DescribeFlowDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeHumanTaskUiOutcome DescribeHumanTaskUi (const Model::DescribeHumanTaskUiRequest &request) const
 
virtual Model::DescribeHumanTaskUiOutcomeCallable DescribeHumanTaskUiCallable (const Model::DescribeHumanTaskUiRequest &request) const
 
virtual void DescribeHumanTaskUiAsync (const Model::DescribeHumanTaskUiRequest &request, const DescribeHumanTaskUiResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeHyperParameterTuningJobOutcome DescribeHyperParameterTuningJob (const Model::DescribeHyperParameterTuningJobRequest &request) const
 
virtual Model::DescribeHyperParameterTuningJobOutcomeCallable DescribeHyperParameterTuningJobCallable (const Model::DescribeHyperParameterTuningJobRequest &request) const
 
virtual void DescribeHyperParameterTuningJobAsync (const Model::DescribeHyperParameterTuningJobRequest &request, const DescribeHyperParameterTuningJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeImageOutcome DescribeImage (const Model::DescribeImageRequest &request) const
 
virtual Model::DescribeImageOutcomeCallable DescribeImageCallable (const Model::DescribeImageRequest &request) const
 
virtual void DescribeImageAsync (const Model::DescribeImageRequest &request, const DescribeImageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeImageVersionOutcome DescribeImageVersion (const Model::DescribeImageVersionRequest &request) const
 
virtual Model::DescribeImageVersionOutcomeCallable DescribeImageVersionCallable (const Model::DescribeImageVersionRequest &request) const
 
virtual void DescribeImageVersionAsync (const Model::DescribeImageVersionRequest &request, const DescribeImageVersionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeLabelingJobOutcome DescribeLabelingJob (const Model::DescribeLabelingJobRequest &request) const
 
virtual Model::DescribeLabelingJobOutcomeCallable DescribeLabelingJobCallable (const Model::DescribeLabelingJobRequest &request) const
 
virtual void DescribeLabelingJobAsync (const Model::DescribeLabelingJobRequest &request, const DescribeLabelingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeModelOutcome DescribeModel (const Model::DescribeModelRequest &request) const
 
virtual Model::DescribeModelOutcomeCallable DescribeModelCallable (const Model::DescribeModelRequest &request) const
 
virtual void DescribeModelAsync (const Model::DescribeModelRequest &request, const DescribeModelResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeModelBiasJobDefinitionOutcome DescribeModelBiasJobDefinition (const Model::DescribeModelBiasJobDefinitionRequest &request) const
 
virtual Model::DescribeModelBiasJobDefinitionOutcomeCallable DescribeModelBiasJobDefinitionCallable (const Model::DescribeModelBiasJobDefinitionRequest &request) const
 
virtual void DescribeModelBiasJobDefinitionAsync (const Model::DescribeModelBiasJobDefinitionRequest &request, const DescribeModelBiasJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeModelExplainabilityJobDefinitionOutcome DescribeModelExplainabilityJobDefinition (const Model::DescribeModelExplainabilityJobDefinitionRequest &request) const
 
virtual Model::DescribeModelExplainabilityJobDefinitionOutcomeCallable DescribeModelExplainabilityJobDefinitionCallable (const Model::DescribeModelExplainabilityJobDefinitionRequest &request) const
 
virtual void DescribeModelExplainabilityJobDefinitionAsync (const Model::DescribeModelExplainabilityJobDefinitionRequest &request, const DescribeModelExplainabilityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeModelPackageOutcome DescribeModelPackage (const Model::DescribeModelPackageRequest &request) const
 
virtual Model::DescribeModelPackageOutcomeCallable DescribeModelPackageCallable (const Model::DescribeModelPackageRequest &request) const
 
virtual void DescribeModelPackageAsync (const Model::DescribeModelPackageRequest &request, const DescribeModelPackageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeModelPackageGroupOutcome DescribeModelPackageGroup (const Model::DescribeModelPackageGroupRequest &request) const
 
virtual Model::DescribeModelPackageGroupOutcomeCallable DescribeModelPackageGroupCallable (const Model::DescribeModelPackageGroupRequest &request) const
 
virtual void DescribeModelPackageGroupAsync (const Model::DescribeModelPackageGroupRequest &request, const DescribeModelPackageGroupResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeModelQualityJobDefinitionOutcome DescribeModelQualityJobDefinition (const Model::DescribeModelQualityJobDefinitionRequest &request) const
 
virtual Model::DescribeModelQualityJobDefinitionOutcomeCallable DescribeModelQualityJobDefinitionCallable (const Model::DescribeModelQualityJobDefinitionRequest &request) const
 
virtual void DescribeModelQualityJobDefinitionAsync (const Model::DescribeModelQualityJobDefinitionRequest &request, const DescribeModelQualityJobDefinitionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeMonitoringScheduleOutcome DescribeMonitoringSchedule (const Model::DescribeMonitoringScheduleRequest &request) const
 
virtual Model::DescribeMonitoringScheduleOutcomeCallable DescribeMonitoringScheduleCallable (const Model::DescribeMonitoringScheduleRequest &request) const
 
virtual void DescribeMonitoringScheduleAsync (const Model::DescribeMonitoringScheduleRequest &request, const DescribeMonitoringScheduleResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeNotebookInstanceOutcome DescribeNotebookInstance (const Model::DescribeNotebookInstanceRequest &request) const
 
virtual Model::DescribeNotebookInstanceOutcomeCallable DescribeNotebookInstanceCallable (const Model::DescribeNotebookInstanceRequest &request) const
 
virtual void DescribeNotebookInstanceAsync (const Model::DescribeNotebookInstanceRequest &request, const DescribeNotebookInstanceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeNotebookInstanceLifecycleConfigOutcome DescribeNotebookInstanceLifecycleConfig (const Model::DescribeNotebookInstanceLifecycleConfigRequest &request) const
 
virtual Model::DescribeNotebookInstanceLifecycleConfigOutcomeCallable DescribeNotebookInstanceLifecycleConfigCallable (const Model::DescribeNotebookInstanceLifecycleConfigRequest &request) const
 
virtual void DescribeNotebookInstanceLifecycleConfigAsync (const Model::DescribeNotebookInstanceLifecycleConfigRequest &request, const DescribeNotebookInstanceLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribePipelineOutcome DescribePipeline (const Model::DescribePipelineRequest &request) const
 
virtual Model::DescribePipelineOutcomeCallable DescribePipelineCallable (const Model::DescribePipelineRequest &request) const
 
virtual void DescribePipelineAsync (const Model::DescribePipelineRequest &request, const DescribePipelineResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribePipelineDefinitionForExecutionOutcome DescribePipelineDefinitionForExecution (const Model::DescribePipelineDefinitionForExecutionRequest &request) const
 
virtual Model::DescribePipelineDefinitionForExecutionOutcomeCallable DescribePipelineDefinitionForExecutionCallable (const Model::DescribePipelineDefinitionForExecutionRequest &request) const
 
virtual void DescribePipelineDefinitionForExecutionAsync (const Model::DescribePipelineDefinitionForExecutionRequest &request, const DescribePipelineDefinitionForExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribePipelineExecutionOutcome DescribePipelineExecution (const Model::DescribePipelineExecutionRequest &request) const
 
virtual Model::DescribePipelineExecutionOutcomeCallable DescribePipelineExecutionCallable (const Model::DescribePipelineExecutionRequest &request) const
 
virtual void DescribePipelineExecutionAsync (const Model::DescribePipelineExecutionRequest &request, const DescribePipelineExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeProcessingJobOutcome DescribeProcessingJob (const Model::DescribeProcessingJobRequest &request) const
 
virtual Model::DescribeProcessingJobOutcomeCallable DescribeProcessingJobCallable (const Model::DescribeProcessingJobRequest &request) const
 
virtual void DescribeProcessingJobAsync (const Model::DescribeProcessingJobRequest &request, const DescribeProcessingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeProjectOutcome DescribeProject (const Model::DescribeProjectRequest &request) const
 
virtual Model::DescribeProjectOutcomeCallable DescribeProjectCallable (const Model::DescribeProjectRequest &request) const
 
virtual void DescribeProjectAsync (const Model::DescribeProjectRequest &request, const DescribeProjectResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeStudioLifecycleConfigOutcome DescribeStudioLifecycleConfig (const Model::DescribeStudioLifecycleConfigRequest &request) const
 
virtual Model::DescribeStudioLifecycleConfigOutcomeCallable DescribeStudioLifecycleConfigCallable (const Model::DescribeStudioLifecycleConfigRequest &request) const
 
virtual void DescribeStudioLifecycleConfigAsync (const Model::DescribeStudioLifecycleConfigRequest &request, const DescribeStudioLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeSubscribedWorkteamOutcome DescribeSubscribedWorkteam (const Model::DescribeSubscribedWorkteamRequest &request) const
 
virtual Model::DescribeSubscribedWorkteamOutcomeCallable DescribeSubscribedWorkteamCallable (const Model::DescribeSubscribedWorkteamRequest &request) const
 
virtual void DescribeSubscribedWorkteamAsync (const Model::DescribeSubscribedWorkteamRequest &request, const DescribeSubscribedWorkteamResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeTrainingJobOutcome DescribeTrainingJob (const Model::DescribeTrainingJobRequest &request) const
 
virtual Model::DescribeTrainingJobOutcomeCallable DescribeTrainingJobCallable (const Model::DescribeTrainingJobRequest &request) const
 
virtual void DescribeTrainingJobAsync (const Model::DescribeTrainingJobRequest &request, const DescribeTrainingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeTransformJobOutcome DescribeTransformJob (const Model::DescribeTransformJobRequest &request) const
 
virtual Model::DescribeTransformJobOutcomeCallable DescribeTransformJobCallable (const Model::DescribeTransformJobRequest &request) const
 
virtual void DescribeTransformJobAsync (const Model::DescribeTransformJobRequest &request, const DescribeTransformJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeTrialOutcome DescribeTrial (const Model::DescribeTrialRequest &request) const
 
virtual Model::DescribeTrialOutcomeCallable DescribeTrialCallable (const Model::DescribeTrialRequest &request) const
 
virtual void DescribeTrialAsync (const Model::DescribeTrialRequest &request, const DescribeTrialResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeTrialComponentOutcome DescribeTrialComponent (const Model::DescribeTrialComponentRequest &request) const
 
virtual Model::DescribeTrialComponentOutcomeCallable DescribeTrialComponentCallable (const Model::DescribeTrialComponentRequest &request) const
 
virtual void DescribeTrialComponentAsync (const Model::DescribeTrialComponentRequest &request, const DescribeTrialComponentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeUserProfileOutcome DescribeUserProfile (const Model::DescribeUserProfileRequest &request) const
 
virtual Model::DescribeUserProfileOutcomeCallable DescribeUserProfileCallable (const Model::DescribeUserProfileRequest &request) const
 
virtual void DescribeUserProfileAsync (const Model::DescribeUserProfileRequest &request, const DescribeUserProfileResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeWorkforceOutcome DescribeWorkforce (const Model::DescribeWorkforceRequest &request) const
 
virtual Model::DescribeWorkforceOutcomeCallable DescribeWorkforceCallable (const Model::DescribeWorkforceRequest &request) const
 
virtual void DescribeWorkforceAsync (const Model::DescribeWorkforceRequest &request, const DescribeWorkforceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DescribeWorkteamOutcome DescribeWorkteam (const Model::DescribeWorkteamRequest &request) const
 
virtual Model::DescribeWorkteamOutcomeCallable DescribeWorkteamCallable (const Model::DescribeWorkteamRequest &request) const
 
virtual void DescribeWorkteamAsync (const Model::DescribeWorkteamRequest &request, const DescribeWorkteamResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DisableSagemakerServicecatalogPortfolioOutcome DisableSagemakerServicecatalogPortfolio (const Model::DisableSagemakerServicecatalogPortfolioRequest &request) const
 
virtual Model::DisableSagemakerServicecatalogPortfolioOutcomeCallable DisableSagemakerServicecatalogPortfolioCallable (const Model::DisableSagemakerServicecatalogPortfolioRequest &request) const
 
virtual void DisableSagemakerServicecatalogPortfolioAsync (const Model::DisableSagemakerServicecatalogPortfolioRequest &request, const DisableSagemakerServicecatalogPortfolioResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::DisassociateTrialComponentOutcome DisassociateTrialComponent (const Model::DisassociateTrialComponentRequest &request) const
 
virtual Model::DisassociateTrialComponentOutcomeCallable DisassociateTrialComponentCallable (const Model::DisassociateTrialComponentRequest &request) const
 
virtual void DisassociateTrialComponentAsync (const Model::DisassociateTrialComponentRequest &request, const DisassociateTrialComponentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::EnableSagemakerServicecatalogPortfolioOutcome EnableSagemakerServicecatalogPortfolio (const Model::EnableSagemakerServicecatalogPortfolioRequest &request) const
 
virtual Model::EnableSagemakerServicecatalogPortfolioOutcomeCallable EnableSagemakerServicecatalogPortfolioCallable (const Model::EnableSagemakerServicecatalogPortfolioRequest &request) const
 
virtual void EnableSagemakerServicecatalogPortfolioAsync (const Model::EnableSagemakerServicecatalogPortfolioRequest &request, const EnableSagemakerServicecatalogPortfolioResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::GetDeviceFleetReportOutcome GetDeviceFleetReport (const Model::GetDeviceFleetReportRequest &request) const
 
virtual Model::GetDeviceFleetReportOutcomeCallable GetDeviceFleetReportCallable (const Model::GetDeviceFleetReportRequest &request) const
 
virtual void GetDeviceFleetReportAsync (const Model::GetDeviceFleetReportRequest &request, const GetDeviceFleetReportResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::GetModelPackageGroupPolicyOutcome GetModelPackageGroupPolicy (const Model::GetModelPackageGroupPolicyRequest &request) const
 
virtual Model::GetModelPackageGroupPolicyOutcomeCallable GetModelPackageGroupPolicyCallable (const Model::GetModelPackageGroupPolicyRequest &request) const
 
virtual void GetModelPackageGroupPolicyAsync (const Model::GetModelPackageGroupPolicyRequest &request, const GetModelPackageGroupPolicyResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::GetSagemakerServicecatalogPortfolioStatusOutcome GetSagemakerServicecatalogPortfolioStatus (const Model::GetSagemakerServicecatalogPortfolioStatusRequest &request) const
 
virtual Model::GetSagemakerServicecatalogPortfolioStatusOutcomeCallable GetSagemakerServicecatalogPortfolioStatusCallable (const Model::GetSagemakerServicecatalogPortfolioStatusRequest &request) const
 
virtual void GetSagemakerServicecatalogPortfolioStatusAsync (const Model::GetSagemakerServicecatalogPortfolioStatusRequest &request, const GetSagemakerServicecatalogPortfolioStatusResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::GetSearchSuggestionsOutcome GetSearchSuggestions (const Model::GetSearchSuggestionsRequest &request) const
 
virtual Model::GetSearchSuggestionsOutcomeCallable GetSearchSuggestionsCallable (const Model::GetSearchSuggestionsRequest &request) const
 
virtual void GetSearchSuggestionsAsync (const Model::GetSearchSuggestionsRequest &request, const GetSearchSuggestionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListActionsOutcome ListActions (const Model::ListActionsRequest &request) const
 
virtual Model::ListActionsOutcomeCallable ListActionsCallable (const Model::ListActionsRequest &request) const
 
virtual void ListActionsAsync (const Model::ListActionsRequest &request, const ListActionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListAlgorithmsOutcome ListAlgorithms (const Model::ListAlgorithmsRequest &request) const
 
virtual Model::ListAlgorithmsOutcomeCallable ListAlgorithmsCallable (const Model::ListAlgorithmsRequest &request) const
 
virtual void ListAlgorithmsAsync (const Model::ListAlgorithmsRequest &request, const ListAlgorithmsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListAppImageConfigsOutcome ListAppImageConfigs (const Model::ListAppImageConfigsRequest &request) const
 
virtual Model::ListAppImageConfigsOutcomeCallable ListAppImageConfigsCallable (const Model::ListAppImageConfigsRequest &request) const
 
virtual void ListAppImageConfigsAsync (const Model::ListAppImageConfigsRequest &request, const ListAppImageConfigsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListAppsOutcome ListApps (const Model::ListAppsRequest &request) const
 
virtual Model::ListAppsOutcomeCallable ListAppsCallable (const Model::ListAppsRequest &request) const
 
virtual void ListAppsAsync (const Model::ListAppsRequest &request, const ListAppsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListArtifactsOutcome ListArtifacts (const Model::ListArtifactsRequest &request) const
 
virtual Model::ListArtifactsOutcomeCallable ListArtifactsCallable (const Model::ListArtifactsRequest &request) const
 
virtual void ListArtifactsAsync (const Model::ListArtifactsRequest &request, const ListArtifactsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListAssociationsOutcome ListAssociations (const Model::ListAssociationsRequest &request) const
 
virtual Model::ListAssociationsOutcomeCallable ListAssociationsCallable (const Model::ListAssociationsRequest &request) const
 
virtual void ListAssociationsAsync (const Model::ListAssociationsRequest &request, const ListAssociationsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListAutoMLJobsOutcome ListAutoMLJobs (const Model::ListAutoMLJobsRequest &request) const
 
virtual Model::ListAutoMLJobsOutcomeCallable ListAutoMLJobsCallable (const Model::ListAutoMLJobsRequest &request) const
 
virtual void ListAutoMLJobsAsync (const Model::ListAutoMLJobsRequest &request, const ListAutoMLJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListCandidatesForAutoMLJobOutcome ListCandidatesForAutoMLJob (const Model::ListCandidatesForAutoMLJobRequest &request) const
 
virtual Model::ListCandidatesForAutoMLJobOutcomeCallable ListCandidatesForAutoMLJobCallable (const Model::ListCandidatesForAutoMLJobRequest &request) const
 
virtual void ListCandidatesForAutoMLJobAsync (const Model::ListCandidatesForAutoMLJobRequest &request, const ListCandidatesForAutoMLJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListCodeRepositoriesOutcome ListCodeRepositories (const Model::ListCodeRepositoriesRequest &request) const
 
virtual Model::ListCodeRepositoriesOutcomeCallable ListCodeRepositoriesCallable (const Model::ListCodeRepositoriesRequest &request) const
 
virtual void ListCodeRepositoriesAsync (const Model::ListCodeRepositoriesRequest &request, const ListCodeRepositoriesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListCompilationJobsOutcome ListCompilationJobs (const Model::ListCompilationJobsRequest &request) const
 
virtual Model::ListCompilationJobsOutcomeCallable ListCompilationJobsCallable (const Model::ListCompilationJobsRequest &request) const
 
virtual void ListCompilationJobsAsync (const Model::ListCompilationJobsRequest &request, const ListCompilationJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListContextsOutcome ListContexts (const Model::ListContextsRequest &request) const
 
virtual Model::ListContextsOutcomeCallable ListContextsCallable (const Model::ListContextsRequest &request) const
 
virtual void ListContextsAsync (const Model::ListContextsRequest &request, const ListContextsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListDataQualityJobDefinitionsOutcome ListDataQualityJobDefinitions (const Model::ListDataQualityJobDefinitionsRequest &request) const
 
virtual Model::ListDataQualityJobDefinitionsOutcomeCallable ListDataQualityJobDefinitionsCallable (const Model::ListDataQualityJobDefinitionsRequest &request) const
 
virtual void ListDataQualityJobDefinitionsAsync (const Model::ListDataQualityJobDefinitionsRequest &request, const ListDataQualityJobDefinitionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListDeviceFleetsOutcome ListDeviceFleets (const Model::ListDeviceFleetsRequest &request) const
 
virtual Model::ListDeviceFleetsOutcomeCallable ListDeviceFleetsCallable (const Model::ListDeviceFleetsRequest &request) const
 
virtual void ListDeviceFleetsAsync (const Model::ListDeviceFleetsRequest &request, const ListDeviceFleetsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListDevicesOutcome ListDevices (const Model::ListDevicesRequest &request) const
 
virtual Model::ListDevicesOutcomeCallable ListDevicesCallable (const Model::ListDevicesRequest &request) const
 
virtual void ListDevicesAsync (const Model::ListDevicesRequest &request, const ListDevicesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListDomainsOutcome ListDomains (const Model::ListDomainsRequest &request) const
 
virtual Model::ListDomainsOutcomeCallable ListDomainsCallable (const Model::ListDomainsRequest &request) const
 
virtual void ListDomainsAsync (const Model::ListDomainsRequest &request, const ListDomainsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListEdgePackagingJobsOutcome ListEdgePackagingJobs (const Model::ListEdgePackagingJobsRequest &request) const
 
virtual Model::ListEdgePackagingJobsOutcomeCallable ListEdgePackagingJobsCallable (const Model::ListEdgePackagingJobsRequest &request) const
 
virtual void ListEdgePackagingJobsAsync (const Model::ListEdgePackagingJobsRequest &request, const ListEdgePackagingJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListEndpointConfigsOutcome ListEndpointConfigs (const Model::ListEndpointConfigsRequest &request) const
 
virtual Model::ListEndpointConfigsOutcomeCallable ListEndpointConfigsCallable (const Model::ListEndpointConfigsRequest &request) const
 
virtual void ListEndpointConfigsAsync (const Model::ListEndpointConfigsRequest &request, const ListEndpointConfigsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListEndpointsOutcome ListEndpoints (const Model::ListEndpointsRequest &request) const
 
virtual Model::ListEndpointsOutcomeCallable ListEndpointsCallable (const Model::ListEndpointsRequest &request) const
 
virtual void ListEndpointsAsync (const Model::ListEndpointsRequest &request, const ListEndpointsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListExperimentsOutcome ListExperiments (const Model::ListExperimentsRequest &request) const
 
virtual Model::ListExperimentsOutcomeCallable ListExperimentsCallable (const Model::ListExperimentsRequest &request) const
 
virtual void ListExperimentsAsync (const Model::ListExperimentsRequest &request, const ListExperimentsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListFeatureGroupsOutcome ListFeatureGroups (const Model::ListFeatureGroupsRequest &request) const
 
virtual Model::ListFeatureGroupsOutcomeCallable ListFeatureGroupsCallable (const Model::ListFeatureGroupsRequest &request) const
 
virtual void ListFeatureGroupsAsync (const Model::ListFeatureGroupsRequest &request, const ListFeatureGroupsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListFlowDefinitionsOutcome ListFlowDefinitions (const Model::ListFlowDefinitionsRequest &request) const
 
virtual Model::ListFlowDefinitionsOutcomeCallable ListFlowDefinitionsCallable (const Model::ListFlowDefinitionsRequest &request) const
 
virtual void ListFlowDefinitionsAsync (const Model::ListFlowDefinitionsRequest &request, const ListFlowDefinitionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListHumanTaskUisOutcome ListHumanTaskUis (const Model::ListHumanTaskUisRequest &request) const
 
virtual Model::ListHumanTaskUisOutcomeCallable ListHumanTaskUisCallable (const Model::ListHumanTaskUisRequest &request) const
 
virtual void ListHumanTaskUisAsync (const Model::ListHumanTaskUisRequest &request, const ListHumanTaskUisResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListHyperParameterTuningJobsOutcome ListHyperParameterTuningJobs (const Model::ListHyperParameterTuningJobsRequest &request) const
 
virtual Model::ListHyperParameterTuningJobsOutcomeCallable ListHyperParameterTuningJobsCallable (const Model::ListHyperParameterTuningJobsRequest &request) const
 
virtual void ListHyperParameterTuningJobsAsync (const Model::ListHyperParameterTuningJobsRequest &request, const ListHyperParameterTuningJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListImageVersionsOutcome ListImageVersions (const Model::ListImageVersionsRequest &request) const
 
virtual Model::ListImageVersionsOutcomeCallable ListImageVersionsCallable (const Model::ListImageVersionsRequest &request) const
 
virtual void ListImageVersionsAsync (const Model::ListImageVersionsRequest &request, const ListImageVersionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListImagesOutcome ListImages (const Model::ListImagesRequest &request) const
 
virtual Model::ListImagesOutcomeCallable ListImagesCallable (const Model::ListImagesRequest &request) const
 
virtual void ListImagesAsync (const Model::ListImagesRequest &request, const ListImagesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListLabelingJobsOutcome ListLabelingJobs (const Model::ListLabelingJobsRequest &request) const
 
virtual Model::ListLabelingJobsOutcomeCallable ListLabelingJobsCallable (const Model::ListLabelingJobsRequest &request) const
 
virtual void ListLabelingJobsAsync (const Model::ListLabelingJobsRequest &request, const ListLabelingJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListLabelingJobsForWorkteamOutcome ListLabelingJobsForWorkteam (const Model::ListLabelingJobsForWorkteamRequest &request) const
 
virtual Model::ListLabelingJobsForWorkteamOutcomeCallable ListLabelingJobsForWorkteamCallable (const Model::ListLabelingJobsForWorkteamRequest &request) const
 
virtual void ListLabelingJobsForWorkteamAsync (const Model::ListLabelingJobsForWorkteamRequest &request, const ListLabelingJobsForWorkteamResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListModelBiasJobDefinitionsOutcome ListModelBiasJobDefinitions (const Model::ListModelBiasJobDefinitionsRequest &request) const
 
virtual Model::ListModelBiasJobDefinitionsOutcomeCallable ListModelBiasJobDefinitionsCallable (const Model::ListModelBiasJobDefinitionsRequest &request) const
 
virtual void ListModelBiasJobDefinitionsAsync (const Model::ListModelBiasJobDefinitionsRequest &request, const ListModelBiasJobDefinitionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListModelExplainabilityJobDefinitionsOutcome ListModelExplainabilityJobDefinitions (const Model::ListModelExplainabilityJobDefinitionsRequest &request) const
 
virtual Model::ListModelExplainabilityJobDefinitionsOutcomeCallable ListModelExplainabilityJobDefinitionsCallable (const Model::ListModelExplainabilityJobDefinitionsRequest &request) const
 
virtual void ListModelExplainabilityJobDefinitionsAsync (const Model::ListModelExplainabilityJobDefinitionsRequest &request, const ListModelExplainabilityJobDefinitionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListModelPackageGroupsOutcome ListModelPackageGroups (const Model::ListModelPackageGroupsRequest &request) const
 
virtual Model::ListModelPackageGroupsOutcomeCallable ListModelPackageGroupsCallable (const Model::ListModelPackageGroupsRequest &request) const
 
virtual void ListModelPackageGroupsAsync (const Model::ListModelPackageGroupsRequest &request, const ListModelPackageGroupsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListModelPackagesOutcome ListModelPackages (const Model::ListModelPackagesRequest &request) const
 
virtual Model::ListModelPackagesOutcomeCallable ListModelPackagesCallable (const Model::ListModelPackagesRequest &request) const
 
virtual void ListModelPackagesAsync (const Model::ListModelPackagesRequest &request, const ListModelPackagesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListModelQualityJobDefinitionsOutcome ListModelQualityJobDefinitions (const Model::ListModelQualityJobDefinitionsRequest &request) const
 
virtual Model::ListModelQualityJobDefinitionsOutcomeCallable ListModelQualityJobDefinitionsCallable (const Model::ListModelQualityJobDefinitionsRequest &request) const
 
virtual void ListModelQualityJobDefinitionsAsync (const Model::ListModelQualityJobDefinitionsRequest &request, const ListModelQualityJobDefinitionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListModelsOutcome ListModels (const Model::ListModelsRequest &request) const
 
virtual Model::ListModelsOutcomeCallable ListModelsCallable (const Model::ListModelsRequest &request) const
 
virtual void ListModelsAsync (const Model::ListModelsRequest &request, const ListModelsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListMonitoringExecutionsOutcome ListMonitoringExecutions (const Model::ListMonitoringExecutionsRequest &request) const
 
virtual Model::ListMonitoringExecutionsOutcomeCallable ListMonitoringExecutionsCallable (const Model::ListMonitoringExecutionsRequest &request) const
 
virtual void ListMonitoringExecutionsAsync (const Model::ListMonitoringExecutionsRequest &request, const ListMonitoringExecutionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListMonitoringSchedulesOutcome ListMonitoringSchedules (const Model::ListMonitoringSchedulesRequest &request) const
 
virtual Model::ListMonitoringSchedulesOutcomeCallable ListMonitoringSchedulesCallable (const Model::ListMonitoringSchedulesRequest &request) const
 
virtual void ListMonitoringSchedulesAsync (const Model::ListMonitoringSchedulesRequest &request, const ListMonitoringSchedulesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListNotebookInstanceLifecycleConfigsOutcome ListNotebookInstanceLifecycleConfigs (const Model::ListNotebookInstanceLifecycleConfigsRequest &request) const
 
virtual Model::ListNotebookInstanceLifecycleConfigsOutcomeCallable ListNotebookInstanceLifecycleConfigsCallable (const Model::ListNotebookInstanceLifecycleConfigsRequest &request) const
 
virtual void ListNotebookInstanceLifecycleConfigsAsync (const Model::ListNotebookInstanceLifecycleConfigsRequest &request, const ListNotebookInstanceLifecycleConfigsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListNotebookInstancesOutcome ListNotebookInstances (const Model::ListNotebookInstancesRequest &request) const
 
virtual Model::ListNotebookInstancesOutcomeCallable ListNotebookInstancesCallable (const Model::ListNotebookInstancesRequest &request) const
 
virtual void ListNotebookInstancesAsync (const Model::ListNotebookInstancesRequest &request, const ListNotebookInstancesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListPipelineExecutionStepsOutcome ListPipelineExecutionSteps (const Model::ListPipelineExecutionStepsRequest &request) const
 
virtual Model::ListPipelineExecutionStepsOutcomeCallable ListPipelineExecutionStepsCallable (const Model::ListPipelineExecutionStepsRequest &request) const
 
virtual void ListPipelineExecutionStepsAsync (const Model::ListPipelineExecutionStepsRequest &request, const ListPipelineExecutionStepsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListPipelineExecutionsOutcome ListPipelineExecutions (const Model::ListPipelineExecutionsRequest &request) const
 
virtual Model::ListPipelineExecutionsOutcomeCallable ListPipelineExecutionsCallable (const Model::ListPipelineExecutionsRequest &request) const
 
virtual void ListPipelineExecutionsAsync (const Model::ListPipelineExecutionsRequest &request, const ListPipelineExecutionsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListPipelineParametersForExecutionOutcome ListPipelineParametersForExecution (const Model::ListPipelineParametersForExecutionRequest &request) const
 
virtual Model::ListPipelineParametersForExecutionOutcomeCallable ListPipelineParametersForExecutionCallable (const Model::ListPipelineParametersForExecutionRequest &request) const
 
virtual void ListPipelineParametersForExecutionAsync (const Model::ListPipelineParametersForExecutionRequest &request, const ListPipelineParametersForExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListPipelinesOutcome ListPipelines (const Model::ListPipelinesRequest &request) const
 
virtual Model::ListPipelinesOutcomeCallable ListPipelinesCallable (const Model::ListPipelinesRequest &request) const
 
virtual void ListPipelinesAsync (const Model::ListPipelinesRequest &request, const ListPipelinesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListProcessingJobsOutcome ListProcessingJobs (const Model::ListProcessingJobsRequest &request) const
 
virtual Model::ListProcessingJobsOutcomeCallable ListProcessingJobsCallable (const Model::ListProcessingJobsRequest &request) const
 
virtual void ListProcessingJobsAsync (const Model::ListProcessingJobsRequest &request, const ListProcessingJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListProjectsOutcome ListProjects (const Model::ListProjectsRequest &request) const
 
virtual Model::ListProjectsOutcomeCallable ListProjectsCallable (const Model::ListProjectsRequest &request) const
 
virtual void ListProjectsAsync (const Model::ListProjectsRequest &request, const ListProjectsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListStudioLifecycleConfigsOutcome ListStudioLifecycleConfigs (const Model::ListStudioLifecycleConfigsRequest &request) const
 
virtual Model::ListStudioLifecycleConfigsOutcomeCallable ListStudioLifecycleConfigsCallable (const Model::ListStudioLifecycleConfigsRequest &request) const
 
virtual void ListStudioLifecycleConfigsAsync (const Model::ListStudioLifecycleConfigsRequest &request, const ListStudioLifecycleConfigsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListSubscribedWorkteamsOutcome ListSubscribedWorkteams (const Model::ListSubscribedWorkteamsRequest &request) const
 
virtual Model::ListSubscribedWorkteamsOutcomeCallable ListSubscribedWorkteamsCallable (const Model::ListSubscribedWorkteamsRequest &request) const
 
virtual void ListSubscribedWorkteamsAsync (const Model::ListSubscribedWorkteamsRequest &request, const ListSubscribedWorkteamsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListTagsOutcome ListTags (const Model::ListTagsRequest &request) const
 
virtual Model::ListTagsOutcomeCallable ListTagsCallable (const Model::ListTagsRequest &request) const
 
virtual void ListTagsAsync (const Model::ListTagsRequest &request, const ListTagsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListTrainingJobsOutcome ListTrainingJobs (const Model::ListTrainingJobsRequest &request) const
 
virtual Model::ListTrainingJobsOutcomeCallable ListTrainingJobsCallable (const Model::ListTrainingJobsRequest &request) const
 
virtual void ListTrainingJobsAsync (const Model::ListTrainingJobsRequest &request, const ListTrainingJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListTrainingJobsForHyperParameterTuningJobOutcome ListTrainingJobsForHyperParameterTuningJob (const Model::ListTrainingJobsForHyperParameterTuningJobRequest &request) const
 
virtual Model::ListTrainingJobsForHyperParameterTuningJobOutcomeCallable ListTrainingJobsForHyperParameterTuningJobCallable (const Model::ListTrainingJobsForHyperParameterTuningJobRequest &request) const
 
virtual void ListTrainingJobsForHyperParameterTuningJobAsync (const Model::ListTrainingJobsForHyperParameterTuningJobRequest &request, const ListTrainingJobsForHyperParameterTuningJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListTransformJobsOutcome ListTransformJobs (const Model::ListTransformJobsRequest &request) const
 
virtual Model::ListTransformJobsOutcomeCallable ListTransformJobsCallable (const Model::ListTransformJobsRequest &request) const
 
virtual void ListTransformJobsAsync (const Model::ListTransformJobsRequest &request, const ListTransformJobsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListTrialComponentsOutcome ListTrialComponents (const Model::ListTrialComponentsRequest &request) const
 
virtual Model::ListTrialComponentsOutcomeCallable ListTrialComponentsCallable (const Model::ListTrialComponentsRequest &request) const
 
virtual void ListTrialComponentsAsync (const Model::ListTrialComponentsRequest &request, const ListTrialComponentsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListTrialsOutcome ListTrials (const Model::ListTrialsRequest &request) const
 
virtual Model::ListTrialsOutcomeCallable ListTrialsCallable (const Model::ListTrialsRequest &request) const
 
virtual void ListTrialsAsync (const Model::ListTrialsRequest &request, const ListTrialsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListUserProfilesOutcome ListUserProfiles (const Model::ListUserProfilesRequest &request) const
 
virtual Model::ListUserProfilesOutcomeCallable ListUserProfilesCallable (const Model::ListUserProfilesRequest &request) const
 
virtual void ListUserProfilesAsync (const Model::ListUserProfilesRequest &request, const ListUserProfilesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListWorkforcesOutcome ListWorkforces (const Model::ListWorkforcesRequest &request) const
 
virtual Model::ListWorkforcesOutcomeCallable ListWorkforcesCallable (const Model::ListWorkforcesRequest &request) const
 
virtual void ListWorkforcesAsync (const Model::ListWorkforcesRequest &request, const ListWorkforcesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::ListWorkteamsOutcome ListWorkteams (const Model::ListWorkteamsRequest &request) const
 
virtual Model::ListWorkteamsOutcomeCallable ListWorkteamsCallable (const Model::ListWorkteamsRequest &request) const
 
virtual void ListWorkteamsAsync (const Model::ListWorkteamsRequest &request, const ListWorkteamsResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::PutModelPackageGroupPolicyOutcome PutModelPackageGroupPolicy (const Model::PutModelPackageGroupPolicyRequest &request) const
 
virtual Model::PutModelPackageGroupPolicyOutcomeCallable PutModelPackageGroupPolicyCallable (const Model::PutModelPackageGroupPolicyRequest &request) const
 
virtual void PutModelPackageGroupPolicyAsync (const Model::PutModelPackageGroupPolicyRequest &request, const PutModelPackageGroupPolicyResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::RegisterDevicesOutcome RegisterDevices (const Model::RegisterDevicesRequest &request) const
 
virtual Model::RegisterDevicesOutcomeCallable RegisterDevicesCallable (const Model::RegisterDevicesRequest &request) const
 
virtual void RegisterDevicesAsync (const Model::RegisterDevicesRequest &request, const RegisterDevicesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::RenderUiTemplateOutcome RenderUiTemplate (const Model::RenderUiTemplateRequest &request) const
 
virtual Model::RenderUiTemplateOutcomeCallable RenderUiTemplateCallable (const Model::RenderUiTemplateRequest &request) const
 
virtual void RenderUiTemplateAsync (const Model::RenderUiTemplateRequest &request, const RenderUiTemplateResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::RetryPipelineExecutionOutcome RetryPipelineExecution (const Model::RetryPipelineExecutionRequest &request) const
 
virtual Model::RetryPipelineExecutionOutcomeCallable RetryPipelineExecutionCallable (const Model::RetryPipelineExecutionRequest &request) const
 
virtual void RetryPipelineExecutionAsync (const Model::RetryPipelineExecutionRequest &request, const RetryPipelineExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::SearchOutcome Search (const Model::SearchRequest &request) const
 
virtual Model::SearchOutcomeCallable SearchCallable (const Model::SearchRequest &request) const
 
virtual void SearchAsync (const Model::SearchRequest &request, const SearchResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::SendPipelineExecutionStepFailureOutcome SendPipelineExecutionStepFailure (const Model::SendPipelineExecutionStepFailureRequest &request) const
 
virtual Model::SendPipelineExecutionStepFailureOutcomeCallable SendPipelineExecutionStepFailureCallable (const Model::SendPipelineExecutionStepFailureRequest &request) const
 
virtual void SendPipelineExecutionStepFailureAsync (const Model::SendPipelineExecutionStepFailureRequest &request, const SendPipelineExecutionStepFailureResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::SendPipelineExecutionStepSuccessOutcome SendPipelineExecutionStepSuccess (const Model::SendPipelineExecutionStepSuccessRequest &request) const
 
virtual Model::SendPipelineExecutionStepSuccessOutcomeCallable SendPipelineExecutionStepSuccessCallable (const Model::SendPipelineExecutionStepSuccessRequest &request) const
 
virtual void SendPipelineExecutionStepSuccessAsync (const Model::SendPipelineExecutionStepSuccessRequest &request, const SendPipelineExecutionStepSuccessResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StartMonitoringScheduleOutcome StartMonitoringSchedule (const Model::StartMonitoringScheduleRequest &request) const
 
virtual Model::StartMonitoringScheduleOutcomeCallable StartMonitoringScheduleCallable (const Model::StartMonitoringScheduleRequest &request) const
 
virtual void StartMonitoringScheduleAsync (const Model::StartMonitoringScheduleRequest &request, const StartMonitoringScheduleResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StartNotebookInstanceOutcome StartNotebookInstance (const Model::StartNotebookInstanceRequest &request) const
 
virtual Model::StartNotebookInstanceOutcomeCallable StartNotebookInstanceCallable (const Model::StartNotebookInstanceRequest &request) const
 
virtual void StartNotebookInstanceAsync (const Model::StartNotebookInstanceRequest &request, const StartNotebookInstanceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StartPipelineExecutionOutcome StartPipelineExecution (const Model::StartPipelineExecutionRequest &request) const
 
virtual Model::StartPipelineExecutionOutcomeCallable StartPipelineExecutionCallable (const Model::StartPipelineExecutionRequest &request) const
 
virtual void StartPipelineExecutionAsync (const Model::StartPipelineExecutionRequest &request, const StartPipelineExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopAutoMLJobOutcome StopAutoMLJob (const Model::StopAutoMLJobRequest &request) const
 
virtual Model::StopAutoMLJobOutcomeCallable StopAutoMLJobCallable (const Model::StopAutoMLJobRequest &request) const
 
virtual void StopAutoMLJobAsync (const Model::StopAutoMLJobRequest &request, const StopAutoMLJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopCompilationJobOutcome StopCompilationJob (const Model::StopCompilationJobRequest &request) const
 
virtual Model::StopCompilationJobOutcomeCallable StopCompilationJobCallable (const Model::StopCompilationJobRequest &request) const
 
virtual void StopCompilationJobAsync (const Model::StopCompilationJobRequest &request, const StopCompilationJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopEdgePackagingJobOutcome StopEdgePackagingJob (const Model::StopEdgePackagingJobRequest &request) const
 
virtual Model::StopEdgePackagingJobOutcomeCallable StopEdgePackagingJobCallable (const Model::StopEdgePackagingJobRequest &request) const
 
virtual void StopEdgePackagingJobAsync (const Model::StopEdgePackagingJobRequest &request, const StopEdgePackagingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopHyperParameterTuningJobOutcome StopHyperParameterTuningJob (const Model::StopHyperParameterTuningJobRequest &request) const
 
virtual Model::StopHyperParameterTuningJobOutcomeCallable StopHyperParameterTuningJobCallable (const Model::StopHyperParameterTuningJobRequest &request) const
 
virtual void StopHyperParameterTuningJobAsync (const Model::StopHyperParameterTuningJobRequest &request, const StopHyperParameterTuningJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopLabelingJobOutcome StopLabelingJob (const Model::StopLabelingJobRequest &request) const
 
virtual Model::StopLabelingJobOutcomeCallable StopLabelingJobCallable (const Model::StopLabelingJobRequest &request) const
 
virtual void StopLabelingJobAsync (const Model::StopLabelingJobRequest &request, const StopLabelingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopMonitoringScheduleOutcome StopMonitoringSchedule (const Model::StopMonitoringScheduleRequest &request) const
 
virtual Model::StopMonitoringScheduleOutcomeCallable StopMonitoringScheduleCallable (const Model::StopMonitoringScheduleRequest &request) const
 
virtual void StopMonitoringScheduleAsync (const Model::StopMonitoringScheduleRequest &request, const StopMonitoringScheduleResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopNotebookInstanceOutcome StopNotebookInstance (const Model::StopNotebookInstanceRequest &request) const
 
virtual Model::StopNotebookInstanceOutcomeCallable StopNotebookInstanceCallable (const Model::StopNotebookInstanceRequest &request) const
 
virtual void StopNotebookInstanceAsync (const Model::StopNotebookInstanceRequest &request, const StopNotebookInstanceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopPipelineExecutionOutcome StopPipelineExecution (const Model::StopPipelineExecutionRequest &request) const
 
virtual Model::StopPipelineExecutionOutcomeCallable StopPipelineExecutionCallable (const Model::StopPipelineExecutionRequest &request) const
 
virtual void StopPipelineExecutionAsync (const Model::StopPipelineExecutionRequest &request, const StopPipelineExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopProcessingJobOutcome StopProcessingJob (const Model::StopProcessingJobRequest &request) const
 
virtual Model::StopProcessingJobOutcomeCallable StopProcessingJobCallable (const Model::StopProcessingJobRequest &request) const
 
virtual void StopProcessingJobAsync (const Model::StopProcessingJobRequest &request, const StopProcessingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopTrainingJobOutcome StopTrainingJob (const Model::StopTrainingJobRequest &request) const
 
virtual Model::StopTrainingJobOutcomeCallable StopTrainingJobCallable (const Model::StopTrainingJobRequest &request) const
 
virtual void StopTrainingJobAsync (const Model::StopTrainingJobRequest &request, const StopTrainingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::StopTransformJobOutcome StopTransformJob (const Model::StopTransformJobRequest &request) const
 
virtual Model::StopTransformJobOutcomeCallable StopTransformJobCallable (const Model::StopTransformJobRequest &request) const
 
virtual void StopTransformJobAsync (const Model::StopTransformJobRequest &request, const StopTransformJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateActionOutcome UpdateAction (const Model::UpdateActionRequest &request) const
 
virtual Model::UpdateActionOutcomeCallable UpdateActionCallable (const Model::UpdateActionRequest &request) const
 
virtual void UpdateActionAsync (const Model::UpdateActionRequest &request, const UpdateActionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateAppImageConfigOutcome UpdateAppImageConfig (const Model::UpdateAppImageConfigRequest &request) const
 
virtual Model::UpdateAppImageConfigOutcomeCallable UpdateAppImageConfigCallable (const Model::UpdateAppImageConfigRequest &request) const
 
virtual void UpdateAppImageConfigAsync (const Model::UpdateAppImageConfigRequest &request, const UpdateAppImageConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateArtifactOutcome UpdateArtifact (const Model::UpdateArtifactRequest &request) const
 
virtual Model::UpdateArtifactOutcomeCallable UpdateArtifactCallable (const Model::UpdateArtifactRequest &request) const
 
virtual void UpdateArtifactAsync (const Model::UpdateArtifactRequest &request, const UpdateArtifactResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateCodeRepositoryOutcome UpdateCodeRepository (const Model::UpdateCodeRepositoryRequest &request) const
 
virtual Model::UpdateCodeRepositoryOutcomeCallable UpdateCodeRepositoryCallable (const Model::UpdateCodeRepositoryRequest &request) const
 
virtual void UpdateCodeRepositoryAsync (const Model::UpdateCodeRepositoryRequest &request, const UpdateCodeRepositoryResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateContextOutcome UpdateContext (const Model::UpdateContextRequest &request) const
 
virtual Model::UpdateContextOutcomeCallable UpdateContextCallable (const Model::UpdateContextRequest &request) const
 
virtual void UpdateContextAsync (const Model::UpdateContextRequest &request, const UpdateContextResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateDeviceFleetOutcome UpdateDeviceFleet (const Model::UpdateDeviceFleetRequest &request) const
 
virtual Model::UpdateDeviceFleetOutcomeCallable UpdateDeviceFleetCallable (const Model::UpdateDeviceFleetRequest &request) const
 
virtual void UpdateDeviceFleetAsync (const Model::UpdateDeviceFleetRequest &request, const UpdateDeviceFleetResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateDevicesOutcome UpdateDevices (const Model::UpdateDevicesRequest &request) const
 
virtual Model::UpdateDevicesOutcomeCallable UpdateDevicesCallable (const Model::UpdateDevicesRequest &request) const
 
virtual void UpdateDevicesAsync (const Model::UpdateDevicesRequest &request, const UpdateDevicesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateDomainOutcome UpdateDomain (const Model::UpdateDomainRequest &request) const
 
virtual Model::UpdateDomainOutcomeCallable UpdateDomainCallable (const Model::UpdateDomainRequest &request) const
 
virtual void UpdateDomainAsync (const Model::UpdateDomainRequest &request, const UpdateDomainResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateEndpointOutcome UpdateEndpoint (const Model::UpdateEndpointRequest &request) const
 
virtual Model::UpdateEndpointOutcomeCallable UpdateEndpointCallable (const Model::UpdateEndpointRequest &request) const
 
virtual void UpdateEndpointAsync (const Model::UpdateEndpointRequest &request, const UpdateEndpointResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateEndpointWeightsAndCapacitiesOutcome UpdateEndpointWeightsAndCapacities (const Model::UpdateEndpointWeightsAndCapacitiesRequest &request) const
 
virtual Model::UpdateEndpointWeightsAndCapacitiesOutcomeCallable UpdateEndpointWeightsAndCapacitiesCallable (const Model::UpdateEndpointWeightsAndCapacitiesRequest &request) const
 
virtual void UpdateEndpointWeightsAndCapacitiesAsync (const Model::UpdateEndpointWeightsAndCapacitiesRequest &request, const UpdateEndpointWeightsAndCapacitiesResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateExperimentOutcome UpdateExperiment (const Model::UpdateExperimentRequest &request) const
 
virtual Model::UpdateExperimentOutcomeCallable UpdateExperimentCallable (const Model::UpdateExperimentRequest &request) const
 
virtual void UpdateExperimentAsync (const Model::UpdateExperimentRequest &request, const UpdateExperimentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateImageOutcome UpdateImage (const Model::UpdateImageRequest &request) const
 
virtual Model::UpdateImageOutcomeCallable UpdateImageCallable (const Model::UpdateImageRequest &request) const
 
virtual void UpdateImageAsync (const Model::UpdateImageRequest &request, const UpdateImageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateModelPackageOutcome UpdateModelPackage (const Model::UpdateModelPackageRequest &request) const
 
virtual Model::UpdateModelPackageOutcomeCallable UpdateModelPackageCallable (const Model::UpdateModelPackageRequest &request) const
 
virtual void UpdateModelPackageAsync (const Model::UpdateModelPackageRequest &request, const UpdateModelPackageResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateMonitoringScheduleOutcome UpdateMonitoringSchedule (const Model::UpdateMonitoringScheduleRequest &request) const
 
virtual Model::UpdateMonitoringScheduleOutcomeCallable UpdateMonitoringScheduleCallable (const Model::UpdateMonitoringScheduleRequest &request) const
 
virtual void UpdateMonitoringScheduleAsync (const Model::UpdateMonitoringScheduleRequest &request, const UpdateMonitoringScheduleResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateNotebookInstanceOutcome UpdateNotebookInstance (const Model::UpdateNotebookInstanceRequest &request) const
 
virtual Model::UpdateNotebookInstanceOutcomeCallable UpdateNotebookInstanceCallable (const Model::UpdateNotebookInstanceRequest &request) const
 
virtual void UpdateNotebookInstanceAsync (const Model::UpdateNotebookInstanceRequest &request, const UpdateNotebookInstanceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateNotebookInstanceLifecycleConfigOutcome UpdateNotebookInstanceLifecycleConfig (const Model::UpdateNotebookInstanceLifecycleConfigRequest &request) const
 
virtual Model::UpdateNotebookInstanceLifecycleConfigOutcomeCallable UpdateNotebookInstanceLifecycleConfigCallable (const Model::UpdateNotebookInstanceLifecycleConfigRequest &request) const
 
virtual void UpdateNotebookInstanceLifecycleConfigAsync (const Model::UpdateNotebookInstanceLifecycleConfigRequest &request, const UpdateNotebookInstanceLifecycleConfigResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdatePipelineOutcome UpdatePipeline (const Model::UpdatePipelineRequest &request) const
 
virtual Model::UpdatePipelineOutcomeCallable UpdatePipelineCallable (const Model::UpdatePipelineRequest &request) const
 
virtual void UpdatePipelineAsync (const Model::UpdatePipelineRequest &request, const UpdatePipelineResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdatePipelineExecutionOutcome UpdatePipelineExecution (const Model::UpdatePipelineExecutionRequest &request) const
 
virtual Model::UpdatePipelineExecutionOutcomeCallable UpdatePipelineExecutionCallable (const Model::UpdatePipelineExecutionRequest &request) const
 
virtual void UpdatePipelineExecutionAsync (const Model::UpdatePipelineExecutionRequest &request, const UpdatePipelineExecutionResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateTrainingJobOutcome UpdateTrainingJob (const Model::UpdateTrainingJobRequest &request) const
 
virtual Model::UpdateTrainingJobOutcomeCallable UpdateTrainingJobCallable (const Model::UpdateTrainingJobRequest &request) const
 
virtual void UpdateTrainingJobAsync (const Model::UpdateTrainingJobRequest &request, const UpdateTrainingJobResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateTrialOutcome UpdateTrial (const Model::UpdateTrialRequest &request) const
 
virtual Model::UpdateTrialOutcomeCallable UpdateTrialCallable (const Model::UpdateTrialRequest &request) const
 
virtual void UpdateTrialAsync (const Model::UpdateTrialRequest &request, const UpdateTrialResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateTrialComponentOutcome UpdateTrialComponent (const Model::UpdateTrialComponentRequest &request) const
 
virtual Model::UpdateTrialComponentOutcomeCallable UpdateTrialComponentCallable (const Model::UpdateTrialComponentRequest &request) const
 
virtual void UpdateTrialComponentAsync (const Model::UpdateTrialComponentRequest &request, const UpdateTrialComponentResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateUserProfileOutcome UpdateUserProfile (const Model::UpdateUserProfileRequest &request) const
 
virtual Model::UpdateUserProfileOutcomeCallable UpdateUserProfileCallable (const Model::UpdateUserProfileRequest &request) const
 
virtual void UpdateUserProfileAsync (const Model::UpdateUserProfileRequest &request, const UpdateUserProfileResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateWorkforceOutcome UpdateWorkforce (const Model::UpdateWorkforceRequest &request) const
 
virtual Model::UpdateWorkforceOutcomeCallable UpdateWorkforceCallable (const Model::UpdateWorkforceRequest &request) const
 
virtual void UpdateWorkforceAsync (const Model::UpdateWorkforceRequest &request, const UpdateWorkforceResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
virtual Model::UpdateWorkteamOutcome UpdateWorkteam (const Model::UpdateWorkteamRequest &request) const
 
virtual Model::UpdateWorkteamOutcomeCallable UpdateWorkteamCallable (const Model::UpdateWorkteamRequest &request) const
 
virtual void UpdateWorkteamAsync (const Model::UpdateWorkteamRequest &request, const UpdateWorkteamResponseReceivedHandler &handler, const std::shared_ptr< const Aws::Client::AsyncCallerContext > &context=nullptr) const
 
void OverrideEndpoint (const Aws::String &endpoint)
 
- Public Member Functions inherited from Aws::Client::AWSJsonClient
 AWSJsonClient (const Aws::Client::ClientConfiguration &configuration, const std::shared_ptr< Aws::Client::AWSAuthSigner > &signer, const std::shared_ptr< AWSErrorMarshaller > &errorMarshaller)
 
 AWSJsonClient (const Aws::Client::ClientConfiguration &configuration, const std::shared_ptr< Aws::Auth::AWSAuthSignerProvider > &signerProvider, const std::shared_ptr< AWSErrorMarshaller > &errorMarshaller)
 
virtual ~AWSJsonClient ()=default
 
- Public Member Functions inherited from Aws::Client::AWSClient
 AWSClient (const Aws::Client::ClientConfiguration &configuration, const std::shared_ptr< Aws::Client::AWSAuthSigner > &signer, const std::shared_ptr< AWSErrorMarshaller > &errorMarshaller)
 
 AWSClient (const Aws::Client::ClientConfiguration &configuration, const std::shared_ptr< Aws::Auth::AWSAuthSignerProvider > &signerProvider, const std::shared_ptr< AWSErrorMarshaller > &errorMarshaller)
 
virtual ~AWSClient ()
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, long long expirationInSeconds=0)
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const Aws::Http::HeaderValueCollection &customizedHeaders, long long expirationInSeconds=0)
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, long long expirationInSeconds=0) const
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const Aws::Http::HeaderValueCollection &customizedHeaders, long long expirationInSeconds=0)
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const char *serviceName, long long expirationInSeconds=0) const
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const char *serviceName, const Aws::Http::HeaderValueCollection &customizedHeaders, long long expirationInSeconds=0)
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const char *serviceName, const char *signerName, long long expirationInSeconds=0) const
 
Aws::String GeneratePresignedUrl (Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const char *serviceName, const char *signerName, const Aws::Http::HeaderValueCollection &customizedHeaders, long long expirationInSeconds=0)
 
Aws::String GeneratePresignedUrl (const Aws::AmazonWebServiceRequest &request, Aws::Http::URI &uri, Aws::Http::HttpMethod method, const Aws::Http::QueryStringParameterCollection &extraParams=Aws::Http::QueryStringParameterCollection(), long long expirationInSeconds=0) const
 
Aws::String GeneratePresignedUrl (const Aws::AmazonWebServiceRequest &request, Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const char *serviceName, const char *signerName, const Aws::Http::QueryStringParameterCollection &extraParams=Aws::Http::QueryStringParameterCollection(), long long expirationInSeconds=0) const
 
Aws::String GeneratePresignedUrl (const Aws::AmazonWebServiceRequest &request, Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const char *serviceName, const Aws::Http::QueryStringParameterCollection &extraParams=Aws::Http::QueryStringParameterCollection(), long long expirationInSeconds=0) const
 
Aws::String GeneratePresignedUrl (const Aws::AmazonWebServiceRequest &request, Aws::Http::URI &uri, Aws::Http::HttpMethod method, const char *region, const Aws::Http::QueryStringParameterCollection &extraParams=Aws::Http::QueryStringParameterCollection(), long long expirationInSeconds=0) const
 
void DisableRequestProcessing ()
 
void EnableRequestProcessing ()
 
virtual const char * GetServiceClientName () const
 
virtual void SetServiceClientName (const Aws::String &name)
 

Additional Inherited Members

- Protected Member Functions inherited from Aws::Client::AWSJsonClient
virtual AWSError< CoreErrorsBuildAWSError (const std::shared_ptr< Aws::Http::HttpResponse > &response) const override
 
JsonOutcome MakeRequest (const Aws::Http::URI &uri, const Aws::AmazonWebServiceRequest &request, Http::HttpMethod method=Http::HttpMethod::HTTP_POST, const char *signerName=Aws::Auth::SIGV4_SIGNER, const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
JsonOutcome MakeRequest (const Aws::Http::URI &uri, Http::HttpMethod method=Http::HttpMethod::HTTP_POST, const char *signerName=Aws::Auth::SIGV4_SIGNER, const char *requestName="", const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
JsonOutcome MakeEventStreamRequest (std::shared_ptr< Aws::Http::HttpRequest > &request) const
 
- Protected Member Functions inherited from Aws::Client::AWSClient
HttpResponseOutcome AttemptExhaustively (const Aws::Http::URI &uri, const Aws::AmazonWebServiceRequest &request, Http::HttpMethod httpMethod, const char *signerName, const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
HttpResponseOutcome AttemptExhaustively (const Aws::Http::URI &uri, Http::HttpMethod httpMethod, const char *signerName, const char *requestName="", const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
HttpResponseOutcome AttemptOneRequest (const std::shared_ptr< Http::HttpRequest > &httpRequest, const Aws::AmazonWebServiceRequest &request, const char *signerName, const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
HttpResponseOutcome AttemptOneRequest (const std::shared_ptr< Http::HttpRequest > &httpRequest, const char *signerName, const char *requestName="", const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
StreamOutcome MakeRequestWithUnparsedResponse (const Aws::Http::URI &uri, const Aws::AmazonWebServiceRequest &request, Http::HttpMethod method=Http::HttpMethod::HTTP_POST, const char *signerName=Aws::Auth::SIGV4_SIGNER, const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
StreamOutcome MakeRequestWithUnparsedResponse (const Aws::Http::URI &uri, Http::HttpMethod method=Http::HttpMethod::HTTP_POST, const char *signerName=Aws::Auth::SIGV4_SIGNER, const char *requestName="", const char *signerRegionOverride=nullptr, const char *signerServiceNameOverride=nullptr) const
 
virtual void BuildHttpRequest (const Aws::AmazonWebServiceRequest &request, const std::shared_ptr< Aws::Http::HttpRequest > &httpRequest) const
 
const std::shared_ptr< AWSErrorMarshaller > & GetErrorMarshaller () const
 
Aws::Client::AWSAuthSignerGetSignerByName (const char *name) const
 
std::shared_ptr< Aws::Http::HttpRequestBuildAndSignHttpRequest (const Aws::Http::URI &uri, const Aws::AmazonWebServiceRequest &request, Http::HttpMethod method, const char *signerName) const
 
std::shared_ptr< Aws::Http::HttpResponseMakeHttpRequest (std::shared_ptr< Aws::Http::HttpRequest > &request) const
 
- Protected Attributes inherited from Aws::Client::AWSClient
Aws::String m_region
 

Detailed Description

Provides APIs for creating and managing Amazon SageMaker resources.

Other Resources:

Definition at line 1228 of file SageMakerClient.h.

Member Typedef Documentation

◆ BASECLASS

Definition at line 1231 of file SageMakerClient.h.

Constructor & Destructor Documentation

◆ SageMakerClient() [1/3]

Aws::SageMaker::SageMakerClient::SageMakerClient ( const Aws::Client::ClientConfiguration clientConfiguration = Aws::Client::ClientConfiguration())

Initializes client to use DefaultCredentialProviderChain, with default http client factory, and optional client config. If client config is not specified, it will be initialized to default values.

◆ SageMakerClient() [2/3]

Aws::SageMaker::SageMakerClient::SageMakerClient ( const Aws::Auth::AWSCredentials credentials,
const Aws::Client::ClientConfiguration clientConfiguration = Aws::Client::ClientConfiguration() 
)

Initializes client to use SimpleAWSCredentialsProvider, with default http client factory, and optional client config. If client config is not specified, it will be initialized to default values.

◆ SageMakerClient() [3/3]

Aws::SageMaker::SageMakerClient::SageMakerClient ( const std::shared_ptr< Aws::Auth::AWSCredentialsProvider > &  credentialsProvider,
const Aws::Client::ClientConfiguration clientConfiguration = Aws::Client::ClientConfiguration() 
)

Initializes client to use specified credentials provider with specified client config. If http client factory is not supplied, the default http client factory will be used

◆ ~SageMakerClient()

virtual Aws::SageMaker::SageMakerClient::~SageMakerClient ( )
virtual

Member Function Documentation

◆ AddAssociation()

virtual Model::AddAssociationOutcome Aws::SageMaker::SageMakerClient::AddAssociation ( const Model::AddAssociationRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ AddAssociationAsync()

virtual void Aws::SageMaker::SageMakerClient::AddAssociationAsync ( const Model::AddAssociationRequest request,
const AddAssociationResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ AddAssociationCallable()

virtual Model::AddAssociationOutcomeCallable Aws::SageMaker::SageMakerClient::AddAssociationCallable ( const Model::AddAssociationRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ AddTags()

virtual Model::AddTagsOutcome Aws::SageMaker::SageMakerClient::AddTags ( const Model::AddTagsRequest request) const
virtual

Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, 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 Studio 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.

See Also:

AWS API Reference

◆ AddTagsAsync()

virtual void Aws::SageMaker::SageMakerClient::AddTagsAsync ( const Model::AddTagsRequest request,
const AddTagsResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, 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 Studio 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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ AddTagsCallable()

virtual Model::AddTagsOutcomeCallable Aws::SageMaker::SageMakerClient::AddTagsCallable ( const Model::AddTagsRequest request) const
virtual

Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, 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 Studio 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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ AssociateTrialComponent()

virtual Model::AssociateTrialComponentOutcome Aws::SageMaker::SageMakerClient::AssociateTrialComponent ( const Model::AssociateTrialComponentRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ AssociateTrialComponentAsync()

virtual void Aws::SageMaker::SageMakerClient::AssociateTrialComponentAsync ( const Model::AssociateTrialComponentRequest request,
const AssociateTrialComponentResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ AssociateTrialComponentCallable()

virtual Model::AssociateTrialComponentOutcomeCallable Aws::SageMaker::SageMakerClient::AssociateTrialComponentCallable ( const Model::AssociateTrialComponentRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateAction()

virtual Model::CreateActionOutcome Aws::SageMaker::SageMakerClient::CreateAction ( const Model::CreateActionRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateActionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateActionAsync ( const Model::CreateActionRequest request,
const CreateActionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateActionCallable()

virtual Model::CreateActionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateActionCallable ( const Model::CreateActionRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateAlgorithm()

virtual Model::CreateAlgorithmOutcome Aws::SageMaker::SageMakerClient::CreateAlgorithm ( const Model::CreateAlgorithmRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateAlgorithmAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateAlgorithmAsync ( const Model::CreateAlgorithmRequest request,
const CreateAlgorithmResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateAlgorithmCallable()

virtual Model::CreateAlgorithmOutcomeCallable Aws::SageMaker::SageMakerClient::CreateAlgorithmCallable ( const Model::CreateAlgorithmRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateApp()

virtual Model::CreateAppOutcome Aws::SageMaker::SageMakerClient::CreateApp ( const Model::CreateAppRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateAppAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateAppAsync ( const Model::CreateAppRequest request,
const CreateAppResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateAppCallable()

virtual Model::CreateAppOutcomeCallable Aws::SageMaker::SageMakerClient::CreateAppCallable ( const Model::CreateAppRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateAppImageConfig()

virtual Model::CreateAppImageConfigOutcome Aws::SageMaker::SageMakerClient::CreateAppImageConfig ( const Model::CreateAppImageConfigRequest request) const
virtual

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

See Also:


AWS API Reference

◆ CreateAppImageConfigAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateAppImageConfigAsync ( const Model::CreateAppImageConfigRequest request,
const CreateAppImageConfigResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:


AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateAppImageConfigCallable()

virtual Model::CreateAppImageConfigOutcomeCallable Aws::SageMaker::SageMakerClient::CreateAppImageConfigCallable ( const Model::CreateAppImageConfigRequest request) const
virtual

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

See Also:


AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateArtifact()

virtual Model::CreateArtifactOutcome Aws::SageMaker::SageMakerClient::CreateArtifact ( const Model::CreateArtifactRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateArtifactAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateArtifactAsync ( const Model::CreateArtifactRequest request,
const CreateArtifactResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateArtifactCallable()

virtual Model::CreateArtifactOutcomeCallable Aws::SageMaker::SageMakerClient::CreateArtifactCallable ( const Model::CreateArtifactRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateAutoMLJob()

virtual Model::CreateAutoMLJobOutcome Aws::SageMaker::SageMakerClient::CreateAutoMLJob ( const Model::CreateAutoMLJobRequest request) const
virtual

Creates an Autopilot job.

Find the best-performing model after you run an Autopilot job by calling .

For information about how to use Autopilot, see Automate Model Development with Amazon SageMaker Autopilot.

See Also:

AWS API Reference

◆ CreateAutoMLJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateAutoMLJobAsync ( const Model::CreateAutoMLJobRequest request,
const CreateAutoMLJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates an Autopilot job.

Find the best-performing model after you run an Autopilot job by calling .

For information about how to use Autopilot, see Automate Model Development with Amazon SageMaker Autopilot.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateAutoMLJobCallable()

virtual Model::CreateAutoMLJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateAutoMLJobCallable ( const Model::CreateAutoMLJobRequest request) const
virtual

Creates an Autopilot job.

Find the best-performing model after you run an Autopilot job by calling .

For information about how to use Autopilot, see Automate Model Development with Amazon SageMaker Autopilot.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateCodeRepository()

virtual Model::CreateCodeRepositoryOutcome Aws::SageMaker::SageMakerClient::CreateCodeRepository ( const Model::CreateCodeRepositoryRequest request) const
virtual

Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.

The repository can be hosted either in Amazon Web Services CodeCommit or in any other Git repository.

See Also:

AWS API Reference

◆ CreateCodeRepositoryAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateCodeRepositoryAsync ( const Model::CreateCodeRepositoryRequest request,
const CreateCodeRepositoryResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.

The repository can be hosted either in Amazon Web Services CodeCommit or in any other Git repository.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateCodeRepositoryCallable()

virtual Model::CreateCodeRepositoryOutcomeCallable Aws::SageMaker::SageMakerClient::CreateCodeRepositoryCallable ( const Model::CreateCodeRepositoryRequest request) const
virtual

Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with.

The repository can be hosted either in Amazon Web Services CodeCommit or in any other Git repository.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateCompilationJob()

virtual Model::CreateCompilationJobOutcome Aws::SageMaker::SageMakerClient::CreateCompilationJob ( const Model::CreateCompilationJobRequest request) const
virtual

Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with 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 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.

See Also:

AWS API Reference

◆ CreateCompilationJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateCompilationJobAsync ( const Model::CreateCompilationJobRequest request,
const CreateCompilationJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with 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 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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateCompilationJobCallable()

virtual Model::CreateCompilationJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateCompilationJobCallable ( const Model::CreateCompilationJobRequest request) const
virtual

Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with 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 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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateContext()

virtual Model::CreateContextOutcome Aws::SageMaker::SageMakerClient::CreateContext ( const Model::CreateContextRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateContextAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateContextAsync ( const Model::CreateContextRequest request,
const CreateContextResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateContextCallable()

virtual Model::CreateContextOutcomeCallable Aws::SageMaker::SageMakerClient::CreateContextCallable ( const Model::CreateContextRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateDataQualityJobDefinition()

virtual Model::CreateDataQualityJobDefinitionOutcome Aws::SageMaker::SageMakerClient::CreateDataQualityJobDefinition ( const Model::CreateDataQualityJobDefinitionRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateDataQualityJobDefinitionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateDataQualityJobDefinitionAsync ( const Model::CreateDataQualityJobDefinitionRequest request,
const CreateDataQualityJobDefinitionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateDataQualityJobDefinitionCallable()

virtual Model::CreateDataQualityJobDefinitionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateDataQualityJobDefinitionCallable ( const Model::CreateDataQualityJobDefinitionRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateDeviceFleet()

virtual Model::CreateDeviceFleetOutcome Aws::SageMaker::SageMakerClient::CreateDeviceFleet ( const Model::CreateDeviceFleetRequest request) const
virtual

Creates a device fleet.

See Also:

AWS API Reference

◆ CreateDeviceFleetAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateDeviceFleetAsync ( const Model::CreateDeviceFleetRequest request,
const CreateDeviceFleetResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a device fleet.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateDeviceFleetCallable()

virtual Model::CreateDeviceFleetOutcomeCallable Aws::SageMaker::SageMakerClient::CreateDeviceFleetCallable ( const Model::CreateDeviceFleetRequest request) const
virtual

Creates a device fleet.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateDomain()

virtual Model::CreateDomainOutcome Aws::SageMaker::SageMakerClient::CreateDomain ( const Model::CreateDomainRequest request) const
virtual

Creates a Domain used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. An Amazon Web Services account is limited to one domain per region. 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 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 SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For other Studio traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to Studio. The following options are available:

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

  • VpcOnly - All Studio 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 Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker 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 SageMaker Studio app successfully.

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

See Also:


AWS API Reference

◆ CreateDomainAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateDomainAsync ( const Model::CreateDomainRequest request,
const CreateDomainResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a Domain used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. An Amazon Web Services account is limited to one domain per region. 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 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 SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For other Studio traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to Studio. The following options are available:

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

  • VpcOnly - All Studio 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 Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker 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 SageMaker Studio app successfully.

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

See Also:


AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateDomainCallable()

virtual Model::CreateDomainOutcomeCallable Aws::SageMaker::SageMakerClient::CreateDomainCallable ( const Model::CreateDomainRequest request) const
virtual

Creates a Domain used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC) configurations. An Amazon Web Services account is limited to one domain per region. 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 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 SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For other Studio traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType corresponds to the network access type that you choose when you onboard to Studio. The following options are available:

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

  • VpcOnly - All Studio 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 Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker 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 SageMaker Studio app successfully.

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

See Also:


AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateEdgePackagingJob()

virtual Model::CreateEdgePackagingJobOutcome Aws::SageMaker::SageMakerClient::CreateEdgePackagingJob ( const Model::CreateEdgePackagingJobRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateEdgePackagingJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateEdgePackagingJobAsync ( const Model::CreateEdgePackagingJobRequest request,
const CreateEdgePackagingJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateEdgePackagingJobCallable()

virtual Model::CreateEdgePackagingJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateEdgePackagingJobCallable ( const Model::CreateEdgePackagingJobRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateEndpoint()

virtual Model::CreateEndpointOutcome Aws::SageMaker::SageMakerClient::CreateEndpoint ( const Model::CreateEndpointRequest request) const
virtual

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

Use this API to deploy models using Amazon SageMaker hosting services.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see the Create Endpoint example notebook.

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

If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon 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 IAM user 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.

See Also:

AWS API Reference

◆ CreateEndpointAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateEndpointAsync ( const Model::CreateEndpointRequest request,
const CreateEndpointResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

Use this API to deploy models using Amazon SageMaker hosting services.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see the Create Endpoint example notebook.

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

If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon 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 IAM user 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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateEndpointCallable()

virtual Model::CreateEndpointOutcomeCallable Aws::SageMaker::SageMakerClient::CreateEndpointCallable ( const Model::CreateEndpointRequest request) const
virtual

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

Use this API to deploy models using Amazon SageMaker hosting services.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see the Create Endpoint example notebook.

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

If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon 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 IAM user 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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateEndpointConfig()

virtual Model::CreateEndpointConfigOutcome Aws::SageMaker::SageMakerClient::CreateEndpointConfig ( const Model::CreateEndpointConfigRequest request) const
virtual

Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.

Use this API if you want to use Amazon 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 Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.

If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

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.

See Also:

AWS API Reference

◆ CreateEndpointConfigAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateEndpointConfigAsync ( const Model::CreateEndpointConfigRequest request,
const CreateEndpointConfigResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.

Use this API if you want to use Amazon 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 Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.

If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateEndpointConfigCallable()

virtual Model::CreateEndpointConfigOutcomeCallable Aws::SageMaker::SageMakerClient::CreateEndpointConfigCallable ( const Model::CreateEndpointConfigRequest request) const
virtual

Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.

Use this API if you want to use Amazon 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 Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.

If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateExperiment()

virtual Model::CreateExperimentOutcome Aws::SageMaker::SageMakerClient::CreateExperiment ( const Model::CreateExperimentRequest request) const
virtual

Creates an 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.

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.

See Also:

AWS API Reference

◆ CreateExperimentAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateExperimentAsync ( const Model::CreateExperimentRequest request,
const CreateExperimentResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates an 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.

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateExperimentCallable()

virtual Model::CreateExperimentOutcomeCallable Aws::SageMaker::SageMakerClient::CreateExperimentCallable ( const Model::CreateExperimentRequest request) const
virtual

Creates an 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.

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateFeatureGroup()

virtual Model::CreateFeatureGroupOutcome Aws::SageMaker::SageMakerClient::CreateFeatureGroup ( const Model::CreateFeatureGroupRequest request) const
virtual

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.

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

See Also:

AWS API Reference

◆ CreateFeatureGroupAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateFeatureGroupAsync ( const Model::CreateFeatureGroupRequest request,
const CreateFeatureGroupResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateFeatureGroupCallable()

virtual Model::CreateFeatureGroupOutcomeCallable Aws::SageMaker::SageMakerClient::CreateFeatureGroupCallable ( const Model::CreateFeatureGroupRequest request) const
virtual

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.

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateFlowDefinition()

virtual Model::CreateFlowDefinitionOutcome Aws::SageMaker::SageMakerClient::CreateFlowDefinition ( const Model::CreateFlowDefinitionRequest request) const
virtual

Creates a flow definition.

See Also:

AWS API Reference

◆ CreateFlowDefinitionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateFlowDefinitionAsync ( const Model::CreateFlowDefinitionRequest request,
const CreateFlowDefinitionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a flow definition.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateFlowDefinitionCallable()

virtual Model::CreateFlowDefinitionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateFlowDefinitionCallable ( const Model::CreateFlowDefinitionRequest request) const
virtual

Creates a flow definition.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateHumanTaskUi()

virtual Model::CreateHumanTaskUiOutcome Aws::SageMaker::SageMakerClient::CreateHumanTaskUi ( const Model::CreateHumanTaskUiRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateHumanTaskUiAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateHumanTaskUiAsync ( const Model::CreateHumanTaskUiRequest request,
const CreateHumanTaskUiResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateHumanTaskUiCallable()

virtual Model::CreateHumanTaskUiOutcomeCallable Aws::SageMaker::SageMakerClient::CreateHumanTaskUiCallable ( const Model::CreateHumanTaskUiRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateHyperParameterTuningJob()

virtual Model::CreateHyperParameterTuningJobOutcome Aws::SageMaker::SageMakerClient::CreateHyperParameterTuningJob ( const Model::CreateHyperParameterTuningJobRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateHyperParameterTuningJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateHyperParameterTuningJobAsync ( const Model::CreateHyperParameterTuningJobRequest request,
const CreateHyperParameterTuningJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateHyperParameterTuningJobCallable()

virtual Model::CreateHyperParameterTuningJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateHyperParameterTuningJobCallable ( const Model::CreateHyperParameterTuningJobRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateImage()

virtual Model::CreateImageOutcome Aws::SageMaker::SageMakerClient::CreateImage ( const Model::CreateImageRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateImageAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateImageAsync ( const Model::CreateImageRequest request,
const CreateImageResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateImageCallable()

virtual Model::CreateImageOutcomeCallable Aws::SageMaker::SageMakerClient::CreateImageCallable ( const Model::CreateImageRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateImageVersion()

virtual Model::CreateImageVersionOutcome Aws::SageMaker::SageMakerClient::CreateImageVersion ( const Model::CreateImageVersionRequest request) const
virtual

Creates a version of the SageMaker image specified by ImageName. The version represents the Amazon Container Registry (ECR) container image specified by BaseImage.

See Also:

AWS API Reference

◆ CreateImageVersionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateImageVersionAsync ( const Model::CreateImageVersionRequest request,
const CreateImageVersionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a version of the SageMaker image specified by ImageName. The version represents the Amazon Container Registry (ECR) container image specified by BaseImage.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateImageVersionCallable()

virtual Model::CreateImageVersionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateImageVersionCallable ( const Model::CreateImageVersionRequest request) const
virtual

Creates a version of the SageMaker image specified by ImageName. The version represents the Amazon Container Registry (ECR) container image specified by BaseImage.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateLabelingJob()

virtual Model::CreateLabelingJobOutcome Aws::SageMaker::SageMakerClient::CreateLabelingJob ( const Model::CreateLabelingJobRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateLabelingJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateLabelingJobAsync ( const Model::CreateLabelingJobRequest request,
const CreateLabelingJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateLabelingJobCallable()

virtual Model::CreateLabelingJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateLabelingJobCallable ( const Model::CreateLabelingJobRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateModel()

virtual Model::CreateModelOutcome Aws::SageMaker::SageMakerClient::CreateModel ( const Model::CreateModelRequest request) const
virtual

Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image 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 Amazon SageMaker hosting services or run a batch transform job.

To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (Amazon Web Services SDK for Python (Boto 3)).

To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the CreateModel request, you must define a container with the PrimaryContainer parameter.

In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.

See Also:

AWS API Reference

◆ CreateModelAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateModelAsync ( const Model::CreateModelRequest request,
const CreateModelResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image 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 Amazon SageMaker hosting services or run a batch transform job.

To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (Amazon Web Services SDK for Python (Boto 3)).

To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the CreateModel request, you must define a container with the PrimaryContainer parameter.

In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateModelBiasJobDefinition()

virtual Model::CreateModelBiasJobDefinitionOutcome Aws::SageMaker::SageMakerClient::CreateModelBiasJobDefinition ( const Model::CreateModelBiasJobDefinitionRequest request) const
virtual

Creates the definition for a model bias job.

See Also:

AWS API Reference

◆ CreateModelBiasJobDefinitionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateModelBiasJobDefinitionAsync ( const Model::CreateModelBiasJobDefinitionRequest request,
const CreateModelBiasJobDefinitionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates the definition for a model bias job.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateModelBiasJobDefinitionCallable()

virtual Model::CreateModelBiasJobDefinitionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateModelBiasJobDefinitionCallable ( const Model::CreateModelBiasJobDefinitionRequest request) const
virtual

Creates the definition for a model bias job.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateModelCallable()

virtual Model::CreateModelOutcomeCallable Aws::SageMaker::SageMakerClient::CreateModelCallable ( const Model::CreateModelRequest request) const
virtual

Creates a model in Amazon SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image 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 Amazon SageMaker hosting services or run a batch transform job.

To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then create an endpoint with the CreateEndpoint API. Amazon SageMaker then deploys all of the containers that you defined for the model in the hosting environment.

For an example that calls this method when deploying a model to Amazon SageMaker hosting services, see Deploy the Model to Amazon SageMaker Hosting Services (Amazon Web Services SDK for Python (Boto 3)).

To run a batch transform using your model, you start a job with the CreateTransformJob API. Amazon SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.

In the CreateModel request, you must define a container with the PrimaryContainer parameter.

In the request, you also provide an IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateModelExplainabilityJobDefinition()

virtual Model::CreateModelExplainabilityJobDefinitionOutcome Aws::SageMaker::SageMakerClient::CreateModelExplainabilityJobDefinition ( const Model::CreateModelExplainabilityJobDefinitionRequest request) const
virtual

Creates the definition for a model explainability job.

See Also:

AWS API Reference

◆ CreateModelExplainabilityJobDefinitionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateModelExplainabilityJobDefinitionAsync ( const Model::CreateModelExplainabilityJobDefinitionRequest request,
const CreateModelExplainabilityJobDefinitionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates the definition for a model explainability job.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateModelExplainabilityJobDefinitionCallable()

virtual Model::CreateModelExplainabilityJobDefinitionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateModelExplainabilityJobDefinitionCallable ( const Model::CreateModelExplainabilityJobDefinitionRequest request) const
virtual

Creates the definition for a model explainability job.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateModelPackage()

virtual Model::CreateModelPackageOutcome Aws::SageMaker::SageMakerClient::CreateModelPackage ( const Model::CreateModelPackageRequest request) const
virtual

Creates a model package that you can use to create Amazon 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 Amazon SageMaker.

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

See Also:

AWS API Reference

◆ CreateModelPackageAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateModelPackageAsync ( const Model::CreateModelPackageRequest request,
const CreateModelPackageResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a model package that you can use to create Amazon 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 Amazon SageMaker.

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateModelPackageCallable()

virtual Model::CreateModelPackageOutcomeCallable Aws::SageMaker::SageMakerClient::CreateModelPackageCallable ( const Model::CreateModelPackageRequest request) const
virtual

Creates a model package that you can use to create Amazon 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 Amazon SageMaker.

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateModelPackageGroup()

virtual Model::CreateModelPackageGroupOutcome Aws::SageMaker::SageMakerClient::CreateModelPackageGroup ( const Model::CreateModelPackageGroupRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateModelPackageGroupAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateModelPackageGroupAsync ( const Model::CreateModelPackageGroupRequest request,
const CreateModelPackageGroupResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateModelPackageGroupCallable()

virtual Model::CreateModelPackageGroupOutcomeCallable Aws::SageMaker::SageMakerClient::CreateModelPackageGroupCallable ( const Model::CreateModelPackageGroupRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateModelQualityJobDefinition()

virtual Model::CreateModelQualityJobDefinitionOutcome Aws::SageMaker::SageMakerClient::CreateModelQualityJobDefinition ( const Model::CreateModelQualityJobDefinitionRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateModelQualityJobDefinitionAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateModelQualityJobDefinitionAsync ( const Model::CreateModelQualityJobDefinitionRequest request,
const CreateModelQualityJobDefinitionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateModelQualityJobDefinitionCallable()

virtual Model::CreateModelQualityJobDefinitionOutcomeCallable Aws::SageMaker::SageMakerClient::CreateModelQualityJobDefinitionCallable ( const Model::CreateModelQualityJobDefinitionRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateMonitoringSchedule()

virtual Model::CreateMonitoringScheduleOutcome Aws::SageMaker::SageMakerClient::CreateMonitoringSchedule ( const Model::CreateMonitoringScheduleRequest request) const
virtual

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

See Also:

AWS API Reference

◆ CreateMonitoringScheduleAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateMonitoringScheduleAsync ( const Model::CreateMonitoringScheduleRequest request,
const CreateMonitoringScheduleResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateMonitoringScheduleCallable()

virtual Model::CreateMonitoringScheduleOutcomeCallable Aws::SageMaker::SageMakerClient::CreateMonitoringScheduleCallable ( const Model::CreateMonitoringScheduleRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateNotebookInstance()

virtual Model::CreateNotebookInstanceOutcome Aws::SageMaker::SageMakerClient::CreateNotebookInstance ( const Model::CreateNotebookInstanceRequest request) const
virtual

Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.

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

After receiving the request, Amazon SageMaker does the following:

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

  2. (Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.

  3. Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.

After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.

For more information, see How It Works.

See Also:

AWS API Reference

◆ CreateNotebookInstanceAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateNotebookInstanceAsync ( const Model::CreateNotebookInstanceRequest request,
const CreateNotebookInstanceResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.

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

After receiving the request, Amazon SageMaker does the following:

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

  2. (Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.

  3. Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.

After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.

For more information, see How It Works.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateNotebookInstanceCallable()

virtual Model::CreateNotebookInstanceOutcomeCallable Aws::SageMaker::SageMakerClient::CreateNotebookInstanceCallable ( const Model::CreateNotebookInstanceRequest request) const
virtual

Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook.

In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance.

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

After receiving the request, Amazon SageMaker does the following:

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

  2. (Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC.

  3. Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it.

After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.

After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models.

For more information, see How It Works.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateNotebookInstanceLifecycleConfig()

virtual Model::CreateNotebookInstanceLifecycleConfigOutcome Aws::SageMaker::SageMakerClient::CreateNotebookInstanceLifecycleConfig ( const Model::CreateNotebookInstanceLifecycleConfigRequest request) const
virtual

Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

See Also:

AWS API Reference

◆ CreateNotebookInstanceLifecycleConfigAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateNotebookInstanceLifecycleConfigAsync ( const Model::CreateNotebookInstanceLifecycleConfigRequest request,
const CreateNotebookInstanceLifecycleConfigResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateNotebookInstanceLifecycleConfigCallable()

virtual Model::CreateNotebookInstanceLifecycleConfigOutcomeCallable Aws::SageMaker::SageMakerClient::CreateNotebookInstanceLifecycleConfigCallable ( const Model::CreateNotebookInstanceLifecycleConfigRequest request) const
virtual

Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreatePipeline()

virtual Model::CreatePipelineOutcome Aws::SageMaker::SageMakerClient::CreatePipeline ( const Model::CreatePipelineRequest request) const
virtual

Creates a pipeline using a JSON pipeline definition.

See Also:

AWS API Reference

◆ CreatePipelineAsync()

virtual void Aws::SageMaker::SageMakerClient::CreatePipelineAsync ( const Model::CreatePipelineRequest request,
const CreatePipelineResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a pipeline using a JSON pipeline definition.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreatePipelineCallable()

virtual Model::CreatePipelineOutcomeCallable Aws::SageMaker::SageMakerClient::CreatePipelineCallable ( const Model::CreatePipelineRequest request) const
virtual

Creates a pipeline using a JSON pipeline definition.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreatePresignedDomainUrl()

virtual Model::CreatePresignedDomainUrlOutcome Aws::SageMaker::SageMakerClient::CreatePresignedDomainUrl ( const Model::CreatePresignedDomainUrlRequest request) const
virtual

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

The IAM role or user used to call 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 SageMaker 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.

See Also:

AWS API Reference

◆ CreatePresignedDomainUrlAsync()

virtual void Aws::SageMaker::SageMakerClient::CreatePresignedDomainUrlAsync ( const Model::CreatePresignedDomainUrlRequest request,
const CreatePresignedDomainUrlResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

The IAM role or user used to call 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 SageMaker 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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreatePresignedDomainUrlCallable()

virtual Model::CreatePresignedDomainUrlOutcomeCallable Aws::SageMaker::SageMakerClient::CreatePresignedDomainUrlCallable ( const Model::CreatePresignedDomainUrlRequest request) const
virtual

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

The IAM role or user used to call 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 SageMaker 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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreatePresignedNotebookInstanceUrl()

virtual Model::CreatePresignedNotebookInstanceUrlOutcome Aws::SageMaker::SageMakerClient::CreatePresignedNotebookInstanceUrl ( const Model::CreatePresignedNotebookInstanceUrlRequest request) const
virtual

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.

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.

See Also:

AWS API Reference

◆ CreatePresignedNotebookInstanceUrlAsync()

virtual void Aws::SageMaker::SageMakerClient::CreatePresignedNotebookInstanceUrlAsync ( const Model::CreatePresignedNotebookInstanceUrlRequest request,
const CreatePresignedNotebookInstanceUrlResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreatePresignedNotebookInstanceUrlCallable()

virtual Model::CreatePresignedNotebookInstanceUrlOutcomeCallable Aws::SageMaker::SageMakerClient::CreatePresignedNotebookInstanceUrlCallable ( const Model::CreatePresignedNotebookInstanceUrlRequest request) const
virtual

Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateProcessingJob()

virtual Model::CreateProcessingJobOutcome Aws::SageMaker::SageMakerClient::CreateProcessingJob ( const Model::CreateProcessingJobRequest request) const
virtual

Creates a processing job.

See Also:

AWS API Reference

◆ CreateProcessingJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateProcessingJobAsync ( const Model::CreateProcessingJobRequest request,
const CreateProcessingJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a processing job.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateProcessingJobCallable()

virtual Model::CreateProcessingJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateProcessingJobCallable ( const Model::CreateProcessingJobRequest request) const
virtual

Creates a processing job.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateProject()

virtual Model::CreateProjectOutcome Aws::SageMaker::SageMakerClient::CreateProject ( const Model::CreateProjectRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateProjectAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateProjectAsync ( const Model::CreateProjectRequest request,
const CreateProjectResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateProjectCallable()

virtual Model::CreateProjectOutcomeCallable Aws::SageMaker::SageMakerClient::CreateProjectCallable ( const Model::CreateProjectRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateStudioLifecycleConfig()

virtual Model::CreateStudioLifecycleConfigOutcome Aws::SageMaker::SageMakerClient::CreateStudioLifecycleConfig ( const Model::CreateStudioLifecycleConfigRequest request) const
virtual

Creates a new Studio Lifecycle Configuration.

See Also:

AWS API Reference

◆ CreateStudioLifecycleConfigAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateStudioLifecycleConfigAsync ( const Model::CreateStudioLifecycleConfigRequest request,
const CreateStudioLifecycleConfigResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Creates a new Studio Lifecycle Configuration.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateStudioLifecycleConfigCallable()

virtual Model::CreateStudioLifecycleConfigOutcomeCallable Aws::SageMaker::SageMakerClient::CreateStudioLifecycleConfigCallable ( const Model::CreateStudioLifecycleConfigRequest request) const
virtual

Creates a new Studio Lifecycle Configuration.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateTrainingJob()

virtual Model::CreateTrainingJobOutcome Aws::SageMaker::SageMakerClient::CreateTrainingJob ( const Model::CreateTrainingJobRequest request) const
virtual

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

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon 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 Amazon SageMaker, see Algorithms.

  • InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.

  • OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.

  • ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.

  • 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 Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.

  • StoppingCondition - 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.

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

For more information about Amazon SageMaker, see How It Works.

See Also:

AWS API Reference

◆ CreateTrainingJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateTrainingJobAsync ( const Model::CreateTrainingJobRequest request,
const CreateTrainingJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon 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 Amazon SageMaker, see Algorithms.

  • InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.

  • OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.

  • ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.

  • 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 Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.

  • StoppingCondition - 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.

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

For more information about Amazon SageMaker, see How It Works.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateTrainingJobCallable()

virtual Model::CreateTrainingJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateTrainingJobCallable ( const Model::CreateTrainingJobRequest request) const
virtual

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

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon 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 Amazon SageMaker, see Algorithms.

  • InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.

  • OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.

  • ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.

  • 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 Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.

  • StoppingCondition - 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.

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

For more information about Amazon SageMaker, see How It Works.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateTransformJob()

virtual Model::CreateTransformJobOutcome Aws::SageMaker::SageMakerClient::CreateTransformJob ( const Model::CreateTransformJobRequest request) const
virtual

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 for the transform job.

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

See Also:

AWS API Reference

◆ CreateTransformJobAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateTransformJobAsync ( const Model::CreateTransformJobRequest request,
const CreateTransformJobResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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 for the transform job.

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateTransformJobCallable()

virtual Model::CreateTransformJobOutcomeCallable Aws::SageMaker::SageMakerClient::CreateTransformJobCallable ( const Model::CreateTransformJobRequest request) const
virtual

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 for the transform job.

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateTrial()

virtual Model::CreateTrialOutcome Aws::SageMaker::SageMakerClient::CreateTrial ( const Model::CreateTrialRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateTrialAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateTrialAsync ( const Model::CreateTrialRequest request,
const CreateTrialResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateTrialCallable()

virtual Model::CreateTrialOutcomeCallable Aws::SageMaker::SageMakerClient::CreateTrialCallable ( const Model::CreateTrialRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateTrialComponent()

virtual Model::CreateTrialComponentOutcome Aws::SageMaker::SageMakerClient::CreateTrialComponent ( const Model::CreateTrialComponentRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateTrialComponentAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateTrialComponentAsync ( const Model::CreateTrialComponentRequest request,
const CreateTrialComponentResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateTrialComponentCallable()

virtual Model::CreateTrialComponentOutcomeCallable Aws::SageMaker::SageMakerClient::CreateTrialComponentCallable ( const Model::CreateTrialComponentRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateUserProfile()

virtual Model::CreateUserProfileOutcome Aws::SageMaker::SageMakerClient::CreateUserProfile ( const Model::CreateUserProfileRequest request) const
virtual

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 Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, 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 (EFS) home directory.

See Also:

AWS API Reference

◆ CreateUserProfileAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateUserProfileAsync ( const Model::CreateUserProfileRequest request,
const CreateUserProfileResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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 Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, 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 (EFS) home directory.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateUserProfileCallable()

virtual Model::CreateUserProfileOutcomeCallable Aws::SageMaker::SageMakerClient::CreateUserProfileCallable ( const Model::CreateUserProfileRequest request) const
virtual

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 Amazon SageMaker Studio. If an administrator invites a person by email or imports them from SSO, 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 (EFS) home directory.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateWorkforce()

virtual Model::CreateWorkforceOutcome Aws::SageMaker::SageMakerClient::CreateWorkforce ( const Model::CreateWorkforceRequest request) const
virtual

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 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).

See Also:

AWS API Reference

◆ CreateWorkforceAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateWorkforceAsync ( const Model::CreateWorkforceRequest request,
const CreateWorkforceResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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 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).

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateWorkforceCallable()

virtual Model::CreateWorkforceOutcomeCallable Aws::SageMaker::SageMakerClient::CreateWorkforceCallable ( const Model::CreateWorkforceRequest request) const
virtual

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 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).

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ CreateWorkteam()

virtual Model::CreateWorkteamOutcome Aws::SageMaker::SageMakerClient::CreateWorkteam ( const Model::CreateWorkteamRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ CreateWorkteamAsync()

virtual void Aws::SageMaker::SageMakerClient::CreateWorkteamAsync ( const Model::CreateWorkteamRequest request,
const CreateWorkteamResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ CreateWorkteamCallable()

virtual Model::CreateWorkteamOutcomeCallable Aws::SageMaker::SageMakerClient::CreateWorkteamCallable ( const Model::CreateWorkteamRequest request) const
virtual

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.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteAction()

virtual Model::DeleteActionOutcome Aws::SageMaker::SageMakerClient::DeleteAction ( const Model::DeleteActionRequest request) const
virtual

Deletes an action.

See Also:

AWS API Reference

◆ DeleteActionAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteActionAsync ( const Model::DeleteActionRequest request,
const DeleteActionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes an action.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteActionCallable()

virtual Model::DeleteActionOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteActionCallable ( const Model::DeleteActionRequest request) const
virtual

Deletes an action.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteAlgorithm()

virtual Model::DeleteAlgorithmOutcome Aws::SageMaker::SageMakerClient::DeleteAlgorithm ( const Model::DeleteAlgorithmRequest request) const
virtual

Removes the specified algorithm from your account.

See Also:


AWS API Reference

◆ DeleteAlgorithmAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteAlgorithmAsync ( const Model::DeleteAlgorithmRequest request,
const DeleteAlgorithmResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Removes the specified algorithm from your account.

See Also:


AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteAlgorithmCallable()

virtual Model::DeleteAlgorithmOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteAlgorithmCallable ( const Model::DeleteAlgorithmRequest request) const
virtual

Removes the specified algorithm from your account.

See Also:


AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteApp()

virtual Model::DeleteAppOutcome Aws::SageMaker::SageMakerClient::DeleteApp ( const Model::DeleteAppRequest request) const
virtual

Used to stop and delete an app.

See Also:

AWS API Reference

◆ DeleteAppAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteAppAsync ( const Model::DeleteAppRequest request,
const DeleteAppResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Used to stop and delete an app.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteAppCallable()

virtual Model::DeleteAppOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteAppCallable ( const Model::DeleteAppRequest request) const
virtual

Used to stop and delete an app.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteAppImageConfig()

virtual Model::DeleteAppImageConfigOutcome Aws::SageMaker::SageMakerClient::DeleteAppImageConfig ( const Model::DeleteAppImageConfigRequest request) const
virtual

Deletes an AppImageConfig.

See Also:

AWS API Reference

◆ DeleteAppImageConfigAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteAppImageConfigAsync ( const Model::DeleteAppImageConfigRequest request,
const DeleteAppImageConfigResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes an AppImageConfig.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteAppImageConfigCallable()

virtual Model::DeleteAppImageConfigOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteAppImageConfigCallable ( const Model::DeleteAppImageConfigRequest request) const
virtual

Deletes an AppImageConfig.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteArtifact()

virtual Model::DeleteArtifactOutcome Aws::SageMaker::SageMakerClient::DeleteArtifact ( const Model::DeleteArtifactRequest request) const
virtual

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

See Also:

AWS API Reference

◆ DeleteArtifactAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteArtifactAsync ( const Model::DeleteArtifactRequest request,
const DeleteArtifactResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteArtifactCallable()

virtual Model::DeleteArtifactOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteArtifactCallable ( const Model::DeleteArtifactRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteAssociation()

virtual Model::DeleteAssociationOutcome Aws::SageMaker::SageMakerClient::DeleteAssociation ( const Model::DeleteAssociationRequest request) const
virtual

Deletes an association.

See Also:

AWS API Reference

◆ DeleteAssociationAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteAssociationAsync ( const Model::DeleteAssociationRequest request,
const DeleteAssociationResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes an association.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteAssociationCallable()

virtual Model::DeleteAssociationOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteAssociationCallable ( const Model::DeleteAssociationRequest request) const
virtual

Deletes an association.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteCodeRepository()

virtual Model::DeleteCodeRepositoryOutcome Aws::SageMaker::SageMakerClient::DeleteCodeRepository ( const Model::DeleteCodeRepositoryRequest request) const
virtual

Deletes the specified Git repository from your account.

See Also:

AWS API Reference

◆ DeleteCodeRepositoryAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteCodeRepositoryAsync ( const Model::DeleteCodeRepositoryRequest request,
const DeleteCodeRepositoryResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes the specified Git repository from your account.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteCodeRepositoryCallable()

virtual Model::DeleteCodeRepositoryOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteCodeRepositoryCallable ( const Model::DeleteCodeRepositoryRequest request) const
virtual

Deletes the specified Git repository from your account.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteContext()

virtual Model::DeleteContextOutcome Aws::SageMaker::SageMakerClient::DeleteContext ( const Model::DeleteContextRequest request) const
virtual

Deletes an context.

See Also:

AWS API Reference

◆ DeleteContextAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteContextAsync ( const Model::DeleteContextRequest request,
const DeleteContextResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes an context.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteContextCallable()

virtual Model::DeleteContextOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteContextCallable ( const Model::DeleteContextRequest request) const
virtual

Deletes an context.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteDataQualityJobDefinition()

virtual Model::DeleteDataQualityJobDefinitionOutcome Aws::SageMaker::SageMakerClient::DeleteDataQualityJobDefinition ( const Model::DeleteDataQualityJobDefinitionRequest request) const
virtual

Deletes a data quality monitoring job definition.

See Also:


AWS API Reference

◆ DeleteDataQualityJobDefinitionAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteDataQualityJobDefinitionAsync ( const Model::DeleteDataQualityJobDefinitionRequest request,
const DeleteDataQualityJobDefinitionResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes a data quality monitoring job definition.

See Also:


AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteDataQualityJobDefinitionCallable()

virtual Model::DeleteDataQualityJobDefinitionOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteDataQualityJobDefinitionCallable ( const Model::DeleteDataQualityJobDefinitionRequest request) const
virtual

Deletes a data quality monitoring job definition.

See Also:


AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteDeviceFleet()

virtual Model::DeleteDeviceFleetOutcome Aws::SageMaker::SageMakerClient::DeleteDeviceFleet ( const Model::DeleteDeviceFleetRequest request) const
virtual

Deletes a fleet.

See Also:

AWS API Reference

◆ DeleteDeviceFleetAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteDeviceFleetAsync ( const Model::DeleteDeviceFleetRequest request,
const DeleteDeviceFleetResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

Deletes a fleet.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteDeviceFleetCallable()

virtual Model::DeleteDeviceFleetOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteDeviceFleetCallable ( const Model::DeleteDeviceFleetRequest request) const
virtual

Deletes a fleet.

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteDomain()

virtual Model::DeleteDomainOutcome Aws::SageMaker::SageMakerClient::DeleteDomain ( const Model::DeleteDomainRequest request) const
virtual

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

See Also:

AWS API Reference

◆ DeleteDomainAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteDomainAsync ( const Model::DeleteDomainRequest request,
const DeleteDomainResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteDomainCallable()

virtual Model::DeleteDomainOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteDomainCallable ( const Model::DeleteDomainRequest request) const
virtual

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteEndpoint()

virtual Model::DeleteEndpointOutcome Aws::SageMaker::SageMakerClient::DeleteEndpoint ( const Model::DeleteEndpointRequest request) const
virtual

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

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

See Also:

AWS API Reference

◆ DeleteEndpointAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteEndpointAsync ( const Model::DeleteEndpointRequest request,
const DeleteEndpointResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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

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

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteEndpointCallable()

virtual Model::DeleteEndpointOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteEndpointCallable ( const Model::DeleteEndpointRequest request) const
virtual

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

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

See Also:

AWS API Reference

returns a future to the operation so that it can be executed in parallel to other requests.

◆ DeleteEndpointConfig()

virtual Model::DeleteEndpointConfigOutcome Aws::SageMaker::SageMakerClient::DeleteEndpointConfig ( const Model::DeleteEndpointConfigRequest request) const
virtual

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.

See Also:

AWS API Reference

◆ DeleteEndpointConfigAsync()

virtual void Aws::SageMaker::SageMakerClient::DeleteEndpointConfigAsync ( const Model::DeleteEndpointConfigRequest request,
const DeleteEndpointConfigResponseReceivedHandler handler,
const std::shared_ptr< const Aws::Client::AsyncCallerContext > &  context = nullptr 
) const
virtual

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.

See Also:

AWS API Reference

Queues the request into a thread executor and triggers associated callback when operation has finished.

◆ DeleteEndpointConfigCallable()

virtual Model::DeleteEndpointConfigOutcomeCallable Aws::SageMaker::SageMakerClient::DeleteEndpointConfigCallable ( const Model::DeleteEndpointConfigRequest request) cons