@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonSageMakerAsync extends AbstractAmazonSageMaker implements AmazonSageMakerAsync
AmazonSageMakerAsync. Convenient method forms pass through to the corresponding
overload that takes a request object and an AsyncHandler, which throws an
UnsupportedOperationException.ENDPOINT_PREFIXaddAssociation, addTags, associateTrialComponent, batchDescribeModelPackage, createAction, createAlgorithm, createApp, createAppImageConfig, createArtifact, createAutoMLJob, createAutoMLJobV2, createCluster, createCodeRepository, createCompilationJob, createContext, createDataQualityJobDefinition, createDeviceFleet, createDomain, createEdgeDeploymentPlan, createEdgeDeploymentStage, createEdgePackagingJob, createEndpoint, createEndpointConfig, createExperiment, createFeatureGroup, createFlowDefinition, createHub, createHubContentReference, createHumanTaskUi, createHyperParameterTuningJob, createImage, createImageVersion, createInferenceComponent, createInferenceExperiment, createInferenceRecommendationsJob, createLabelingJob, createMlflowTrackingServer, createModel, createModelBiasJobDefinition, createModelCard, createModelCardExportJob, createModelExplainabilityJobDefinition, createModelPackage, createModelPackageGroup, createModelQualityJobDefinition, createMonitoringSchedule, createNotebookInstance, createNotebookInstanceLifecycleConfig, createOptimizationJob, createPipeline, createPresignedDomainUrl, createPresignedMlflowTrackingServerUrl, createPresignedNotebookInstanceUrl, createProcessingJob, createProject, createSpace, createStudioLifecycleConfig, createTrainingJob, createTransformJob, createTrial, createTrialComponent, createUserProfile, createWorkforce, createWorkteam, deleteAction, deleteAlgorithm, deleteApp, deleteAppImageConfig, deleteArtifact, deleteAssociation, deleteCluster, deleteCodeRepository, deleteCompilationJob, deleteContext, deleteDataQualityJobDefinition, deleteDeviceFleet, deleteDomain, deleteEdgeDeploymentPlan, deleteEdgeDeploymentStage, deleteEndpoint, deleteEndpointConfig, deleteExperiment, deleteFeatureGroup, deleteFlowDefinition, deleteHub, deleteHubContent, deleteHubContentReference, deleteHumanTaskUi, deleteHyperParameterTuningJob, deleteImage, deleteImageVersion, deleteInferenceComponent, deleteInferenceExperiment, deleteMlflowTrackingServer, deleteModel, deleteModelBiasJobDefinition, deleteModelCard, deleteModelExplainabilityJobDefinition, deleteModelPackage, deleteModelPackageGroup, deleteModelPackageGroupPolicy, deleteModelQualityJobDefinition, deleteMonitoringSchedule, deleteNotebookInstance, deleteNotebookInstanceLifecycleConfig, deleteOptimizationJob, deletePipeline, deleteProject, deleteSpace, deleteStudioLifecycleConfig, deleteTags, deleteTrial, deleteTrialComponent, deleteUserProfile, deleteWorkforce, deleteWorkteam, deregisterDevices, describeAction, describeAlgorithm, describeApp, describeAppImageConfig, describeArtifact, describeAutoMLJob, describeAutoMLJobV2, describeCluster, describeClusterNode, describeCodeRepository, describeCompilationJob, describeContext, describeDataQualityJobDefinition, describeDevice, describeDeviceFleet, describeDomain, describeEdgeDeploymentPlan, describeEdgePackagingJob, describeEndpoint, describeEndpointConfig, describeExperiment, describeFeatureGroup, describeFeatureMetadata, describeFlowDefinition, describeHub, describeHubContent, describeHumanTaskUi, describeHyperParameterTuningJob, describeImage, describeImageVersion, describeInferenceComponent, describeInferenceExperiment, describeInferenceRecommendationsJob, describeLabelingJob, describeLineageGroup, describeMlflowTrackingServer, describeModel, describeModelBiasJobDefinition, describeModelCard, describeModelCardExportJob, describeModelExplainabilityJobDefinition, describeModelPackage, describeModelPackageGroup, describeModelQualityJobDefinition, describeMonitoringSchedule, describeNotebookInstance, describeNotebookInstanceLifecycleConfig, describeOptimizationJob, describePipeline, describePipelineDefinitionForExecution, describePipelineExecution, describeProcessingJob, describeProject, describeSpace, describeStudioLifecycleConfig, describeSubscribedWorkteam, describeTrainingJob, describeTransformJob, describeTrial, describeTrialComponent, describeUserProfile, describeWorkforce, describeWorkteam, disableSagemakerServicecatalogPortfolio, disassociateTrialComponent, enableSagemakerServicecatalogPortfolio, getCachedResponseMetadata, getDeviceFleetReport, getLineageGroupPolicy, getModelPackageGroupPolicy, getSagemakerServicecatalogPortfolioStatus, getScalingConfigurationRecommendation, getSearchSuggestions, importHubContent, listActions, listAlgorithms, listAliases, listAppImageConfigs, listApps, listArtifacts, listAssociations, listAutoMLJobs, listCandidatesForAutoMLJob, listClusterNodes, listClusters, listCodeRepositories, listCompilationJobs, listContexts, listDataQualityJobDefinitions, listDeviceFleets, listDevices, listDomains, listEdgeDeploymentPlans, listEdgePackagingJobs, listEndpointConfigs, listEndpoints, listExperiments, listFeatureGroups, listFlowDefinitions, listHubContents, listHubContentVersions, listHubs, listHumanTaskUis, listHyperParameterTuningJobs, listImages, listImageVersions, listInferenceComponents, listInferenceExperiments, listInferenceRecommendationsJobs, listInferenceRecommendationsJobSteps, listLabelingJobs, listLabelingJobsForWorkteam, listLineageGroups, listMlflowTrackingServers, listModelBiasJobDefinitions, listModelCardExportJobs, listModelCards, listModelCardVersions, listModelExplainabilityJobDefinitions, listModelMetadata, listModelPackageGroups, listModelPackages, listModelQualityJobDefinitions, listModels, listMonitoringAlertHistory, listMonitoringAlerts, listMonitoringExecutions, listMonitoringSchedules, listNotebookInstanceLifecycleConfigs, listNotebookInstances, listOptimizationJobs, listPipelineExecutions, listPipelineExecutionSteps, listPipelineParametersForExecution, listPipelines, listProcessingJobs, listProjects, listResourceCatalogs, listSpaces, listStageDevices, listStudioLifecycleConfigs, listSubscribedWorkteams, listTags, listTrainingJobs, listTrainingJobsForHyperParameterTuningJob, listTransformJobs, listTrialComponents, listTrials, listUserProfiles, listWorkforces, listWorkteams, putModelPackageGroupPolicy, queryLineage, registerDevices, renderUiTemplate, retryPipelineExecution, search, sendPipelineExecutionStepFailure, sendPipelineExecutionStepSuccess, shutdown, startEdgeDeploymentStage, startInferenceExperiment, startMlflowTrackingServer, startMonitoringSchedule, startNotebookInstance, startPipelineExecution, stopAutoMLJob, stopCompilationJob, stopEdgeDeploymentStage, stopEdgePackagingJob, stopHyperParameterTuningJob, stopInferenceExperiment, stopInferenceRecommendationsJob, stopLabelingJob, stopMlflowTrackingServer, stopMonitoringSchedule, stopNotebookInstance, stopOptimizationJob, stopPipelineExecution, stopProcessingJob, stopTrainingJob, stopTransformJob, updateAction, updateAppImageConfig, updateArtifact, updateCluster, updateClusterSoftware, updateCodeRepository, updateContext, updateDeviceFleet, updateDevices, updateDomain, updateEndpoint, updateEndpointWeightsAndCapacities, updateExperiment, updateFeatureGroup, updateFeatureMetadata, updateHub, updateImage, updateImageVersion, updateInferenceComponent, updateInferenceComponentRuntimeConfig, updateInferenceExperiment, updateMlflowTrackingServer, updateModelCard, updateModelPackage, updateMonitoringAlert, updateMonitoringSchedule, updateNotebookInstance, updateNotebookInstanceLifecycleConfig, updatePipeline, updatePipelineExecution, updateProject, updateSpace, updateTrainingJob, updateTrial, updateTrialComponent, updateUserProfile, updateWorkforce, updateWorkteam, waitersequals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitaddAssociation, addTags, associateTrialComponent, batchDescribeModelPackage, createAction, createAlgorithm, createApp, createAppImageConfig, createArtifact, createAutoMLJob, createAutoMLJobV2, createCluster, createCodeRepository, createCompilationJob, createContext, createDataQualityJobDefinition, createDeviceFleet, createDomain, createEdgeDeploymentPlan, createEdgeDeploymentStage, createEdgePackagingJob, createEndpoint, createEndpointConfig, createExperiment, createFeatureGroup, createFlowDefinition, createHub, createHubContentReference, createHumanTaskUi, createHyperParameterTuningJob, createImage, createImageVersion, createInferenceComponent, createInferenceExperiment, createInferenceRecommendationsJob, createLabelingJob, createMlflowTrackingServer, createModel, createModelBiasJobDefinition, createModelCard, createModelCardExportJob, createModelExplainabilityJobDefinition, createModelPackage, createModelPackageGroup, createModelQualityJobDefinition, createMonitoringSchedule, createNotebookInstance, createNotebookInstanceLifecycleConfig, createOptimizationJob, createPipeline, createPresignedDomainUrl, createPresignedMlflowTrackingServerUrl, createPresignedNotebookInstanceUrl, createProcessingJob, createProject, createSpace, createStudioLifecycleConfig, createTrainingJob, createTransformJob, createTrial, createTrialComponent, createUserProfile, createWorkforce, createWorkteam, deleteAction, deleteAlgorithm, deleteApp, deleteAppImageConfig, deleteArtifact, deleteAssociation, deleteCluster, deleteCodeRepository, deleteCompilationJob, deleteContext, deleteDataQualityJobDefinition, deleteDeviceFleet, deleteDomain, deleteEdgeDeploymentPlan, deleteEdgeDeploymentStage, deleteEndpoint, deleteEndpointConfig, deleteExperiment, deleteFeatureGroup, deleteFlowDefinition, deleteHub, deleteHubContent, deleteHubContentReference, deleteHumanTaskUi, deleteHyperParameterTuningJob, deleteImage, deleteImageVersion, deleteInferenceComponent, deleteInferenceExperiment, deleteMlflowTrackingServer, deleteModel, deleteModelBiasJobDefinition, deleteModelCard, deleteModelExplainabilityJobDefinition, deleteModelPackage, deleteModelPackageGroup, deleteModelPackageGroupPolicy, deleteModelQualityJobDefinition, deleteMonitoringSchedule, deleteNotebookInstance, deleteNotebookInstanceLifecycleConfig, deleteOptimizationJob, deletePipeline, deleteProject, deleteSpace, deleteStudioLifecycleConfig, deleteTags, deleteTrial, deleteTrialComponent, deleteUserProfile, deleteWorkforce, deleteWorkteam, deregisterDevices, describeAction, describeAlgorithm, describeApp, describeAppImageConfig, describeArtifact, describeAutoMLJob, describeAutoMLJobV2, describeCluster, describeClusterNode, describeCodeRepository, describeCompilationJob, describeContext, describeDataQualityJobDefinition, describeDevice, describeDeviceFleet, describeDomain, describeEdgeDeploymentPlan, describeEdgePackagingJob, describeEndpoint, describeEndpointConfig, describeExperiment, describeFeatureGroup, describeFeatureMetadata, describeFlowDefinition, describeHub, describeHubContent, describeHumanTaskUi, describeHyperParameterTuningJob, describeImage, describeImageVersion, describeInferenceComponent, describeInferenceExperiment, describeInferenceRecommendationsJob, describeLabelingJob, describeLineageGroup, describeMlflowTrackingServer, describeModel, describeModelBiasJobDefinition, describeModelCard, describeModelCardExportJob, describeModelExplainabilityJobDefinition, describeModelPackage, describeModelPackageGroup, describeModelQualityJobDefinition, describeMonitoringSchedule, describeNotebookInstance, describeNotebookInstanceLifecycleConfig, describeOptimizationJob, describePipeline, describePipelineDefinitionForExecution, describePipelineExecution, describeProcessingJob, describeProject, describeSpace, describeStudioLifecycleConfig, describeSubscribedWorkteam, describeTrainingJob, describeTransformJob, describeTrial, describeTrialComponent, describeUserProfile, describeWorkforce, describeWorkteam, disableSagemakerServicecatalogPortfolio, disassociateTrialComponent, enableSagemakerServicecatalogPortfolio, getCachedResponseMetadata, getDeviceFleetReport, getLineageGroupPolicy, getModelPackageGroupPolicy, getSagemakerServicecatalogPortfolioStatus, getScalingConfigurationRecommendation, getSearchSuggestions, importHubContent, listActions, listAlgorithms, listAliases, listAppImageConfigs, listApps, listArtifacts, listAssociations, listAutoMLJobs, listCandidatesForAutoMLJob, listClusterNodes, listClusters, listCodeRepositories, listCompilationJobs, listContexts, listDataQualityJobDefinitions, listDeviceFleets, listDevices, listDomains, listEdgeDeploymentPlans, listEdgePackagingJobs, listEndpointConfigs, listEndpoints, listExperiments, listFeatureGroups, listFlowDefinitions, listHubContents, listHubContentVersions, listHubs, listHumanTaskUis, listHyperParameterTuningJobs, listImages, listImageVersions, listInferenceComponents, listInferenceExperiments, listInferenceRecommendationsJobs, listInferenceRecommendationsJobSteps, listLabelingJobs, listLabelingJobsForWorkteam, listLineageGroups, listMlflowTrackingServers, listModelBiasJobDefinitions, listModelCardExportJobs, listModelCards, listModelCardVersions, listModelExplainabilityJobDefinitions, listModelMetadata, listModelPackageGroups, listModelPackages, listModelQualityJobDefinitions, listModels, listMonitoringAlertHistory, listMonitoringAlerts, listMonitoringExecutions, listMonitoringSchedules, listNotebookInstanceLifecycleConfigs, listNotebookInstances, listOptimizationJobs, listPipelineExecutions, listPipelineExecutionSteps, listPipelineParametersForExecution, listPipelines, listProcessingJobs, listProjects, listResourceCatalogs, listSpaces, listStageDevices, listStudioLifecycleConfigs, listSubscribedWorkteams, listTags, listTrainingJobs, listTrainingJobsForHyperParameterTuningJob, listTransformJobs, listTrialComponents, listTrials, listUserProfiles, listWorkforces, listWorkteams, putModelPackageGroupPolicy, queryLineage, registerDevices, renderUiTemplate, retryPipelineExecution, search, sendPipelineExecutionStepFailure, sendPipelineExecutionStepSuccess, shutdown, startEdgeDeploymentStage, startInferenceExperiment, startMlflowTrackingServer, startMonitoringSchedule, startNotebookInstance, startPipelineExecution, stopAutoMLJob, stopCompilationJob, stopEdgeDeploymentStage, stopEdgePackagingJob, stopHyperParameterTuningJob, stopInferenceExperiment, stopInferenceRecommendationsJob, stopLabelingJob, stopMlflowTrackingServer, stopMonitoringSchedule, stopNotebookInstance, stopOptimizationJob, stopPipelineExecution, stopProcessingJob, stopTrainingJob, stopTransformJob, updateAction, updateAppImageConfig, updateArtifact, updateCluster, updateClusterSoftware, updateCodeRepository, updateContext, updateDeviceFleet, updateDevices, updateDomain, updateEndpoint, updateEndpointWeightsAndCapacities, updateExperiment, updateFeatureGroup, updateFeatureMetadata, updateHub, updateImage, updateImageVersion, updateInferenceComponent, updateInferenceComponentRuntimeConfig, updateInferenceExperiment, updateMlflowTrackingServer, updateModelCard, updateModelPackage, updateMonitoringAlert, updateMonitoringSchedule, updateNotebookInstance, updateNotebookInstanceLifecycleConfig, updatePipeline, updatePipelineExecution, updateProject, updateSpace, updateTrainingJob, updateTrial, updateTrialComponent, updateUserProfile, updateWorkforce, updateWorkteam, waiterspublic Future<AddAssociationResult> addAssociationAsync(AddAssociationRequest request)
AmazonSageMakerAsyncCreates 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.
addAssociationAsync in interface AmazonSageMakerAsyncpublic Future<AddAssociationResult> addAssociationAsync(AddAssociationRequest request, AsyncHandler<AddAssociationRequest,AddAssociationResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
addAssociationAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<AddTagsResult> addTagsAsync(AddTagsRequest request)
AmazonSageMakerAsyncAdds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see Amazon Web Services Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the
hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter
tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter
tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you
first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
Tags that you add to a SageMaker Domain or User Profile by calling this API are also added to any Apps that the
Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile launched
before you called this API. To make sure that the tags associated with a Domain or User Profile are also added to
all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User Profile
by specifying them in the Tags parameter of CreateDomain or CreateUserProfile.
addTagsAsync in interface AmazonSageMakerAsyncpublic Future<AddTagsResult> addTagsAsync(AddTagsRequest request, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
AmazonSageMakerAsyncAdds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see Amazon Web Services Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the
hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter
tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter
tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you
first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
Tags that you add to a SageMaker Domain or User Profile by calling this API are also added to any Apps that the
Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile launched
before you called this API. To make sure that the tags associated with a Domain or User Profile are also added to
all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User Profile
by specifying them in the Tags parameter of CreateDomain or CreateUserProfile.
addTagsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<AssociateTrialComponentResult> associateTrialComponentAsync(AssociateTrialComponentRequest request)
AmazonSageMakerAsyncAssociates 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.
associateTrialComponentAsync in interface AmazonSageMakerAsyncpublic Future<AssociateTrialComponentResult> associateTrialComponentAsync(AssociateTrialComponentRequest request, AsyncHandler<AssociateTrialComponentRequest,AssociateTrialComponentResult> asyncHandler)
AmazonSageMakerAsyncAssociates 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.
associateTrialComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<BatchDescribeModelPackageResult> batchDescribeModelPackageAsync(BatchDescribeModelPackageRequest request)
AmazonSageMakerAsyncThis action batch describes a list of versioned model packages
batchDescribeModelPackageAsync in interface AmazonSageMakerAsyncpublic Future<BatchDescribeModelPackageResult> batchDescribeModelPackageAsync(BatchDescribeModelPackageRequest request, AsyncHandler<BatchDescribeModelPackageRequest,BatchDescribeModelPackageResult> asyncHandler)
AmazonSageMakerAsyncThis action batch describes a list of versioned model packages
batchDescribeModelPackageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateActionResult> createActionAsync(CreateActionRequest request)
AmazonSageMakerAsyncCreates 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.
createActionAsync in interface AmazonSageMakerAsyncpublic Future<CreateActionResult> createActionAsync(CreateActionRequest request, AsyncHandler<CreateActionRequest,CreateActionResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createActionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAlgorithmResult> createAlgorithmAsync(CreateAlgorithmRequest request)
AmazonSageMakerAsyncCreate a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
createAlgorithmAsync in interface AmazonSageMakerAsyncpublic Future<CreateAlgorithmResult> createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)
AmazonSageMakerAsyncCreate a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
createAlgorithmAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAppResult> createAppAsync(CreateAppRequest request)
AmazonSageMakerAsyncCreates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
createAppAsync in interface AmazonSageMakerAsyncpublic Future<CreateAppResult> createAppAsync(CreateAppRequest request, AsyncHandler<CreateAppRequest,CreateAppResult> asyncHandler)
AmazonSageMakerAsyncCreates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
createAppAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAppImageConfigResult> createAppImageConfigAsync(CreateAppImageConfigRequest request)
AmazonSageMakerAsyncCreates a configuration for running a SageMaker image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.
createAppImageConfigAsync in interface AmazonSageMakerAsyncpublic Future<CreateAppImageConfigResult> createAppImageConfigAsync(CreateAppImageConfigRequest request, AsyncHandler<CreateAppImageConfigRequest,CreateAppImageConfigResult> asyncHandler)
AmazonSageMakerAsyncCreates a configuration for running a SageMaker image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of the kernels in the image.
createAppImageConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateArtifactResult> createArtifactAsync(CreateArtifactRequest request)
AmazonSageMakerAsyncCreates 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.
createArtifactAsync in interface AmazonSageMakerAsyncpublic Future<CreateArtifactResult> createArtifactAsync(CreateArtifactRequest request, AsyncHandler<CreateArtifactRequest,CreateArtifactResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createArtifactAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAutoMLJobResult> createAutoMLJobAsync(CreateAutoMLJobRequest request)
AmazonSageMakerAsyncCreates an Autopilot job also referred to as Autopilot experiment or AutoML job.
We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version
CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text
classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.
createAutoMLJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateAutoMLJobResult> createAutoMLJobAsync(CreateAutoMLJobRequest request, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler)
AmazonSageMakerAsyncCreates an Autopilot job also referred to as Autopilot experiment or AutoML job.
We recommend using the new versions CreateAutoMLJobV2 and DescribeAutoMLJobV2, which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version
CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text
classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
You can find the best-performing model after you run an AutoML job by calling DescribeAutoMLJobV2 (recommended) or DescribeAutoMLJob.
createAutoMLJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAutoMLJobV2Result> createAutoMLJobV2Async(CreateAutoMLJobV2Request request)
AmazonSageMakerAsyncCreates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob and DescribeAutoMLJob which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version
CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text
classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
For the list of available problem types supported by CreateAutoMLJobV2, see AutoMLProblemTypeConfig.
You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.
createAutoMLJobV2Async in interface AmazonSageMakerAsyncpublic Future<CreateAutoMLJobV2Result> createAutoMLJobV2Async(CreateAutoMLJobV2Request request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler)
AmazonSageMakerAsyncCreates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
CreateAutoMLJobV2 and DescribeAutoMLJobV2 are new versions of CreateAutoMLJob and DescribeAutoMLJob which offer backward compatibility.
CreateAutoMLJobV2 can manage tabular problem types identical to those of its previous version
CreateAutoMLJob, as well as time-series forecasting, non-tabular problem types such as image or text
classification, and text generation (LLMs fine-tuning).
Find guidelines about how to migrate a CreateAutoMLJob to CreateAutoMLJobV2 in Migrate a CreateAutoMLJob to CreateAutoMLJobV2.
For the list of available problem types supported by CreateAutoMLJobV2, see AutoMLProblemTypeConfig.
You can find the best-performing model after you run an AutoML job V2 by calling DescribeAutoMLJobV2.
createAutoMLJobV2Async in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateClusterResult> createClusterAsync(CreateClusterRequest request)
AmazonSageMakerAsyncCreates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.
createClusterAsync in interface AmazonSageMakerAsyncpublic Future<CreateClusterResult> createClusterAsync(CreateClusterRequest request, AsyncHandler<CreateClusterRequest,CreateClusterResult> asyncHandler)
AmazonSageMakerAsyncCreates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, such as large language models (LLMs) and diffusion models. To learn more, see Amazon SageMaker HyperPod in the Amazon SageMaker Developer Guide.
createClusterAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateCodeRepositoryResult> createCodeRepositoryAsync(CreateCodeRepositoryRequest request)
AmazonSageMakerAsyncCreates a Git repository as a resource in your 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 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.
createCodeRepositoryAsync in interface AmazonSageMakerAsyncpublic Future<CreateCodeRepositoryResult> createCodeRepositoryAsync(CreateCodeRepositoryRequest request, AsyncHandler<CreateCodeRepositoryRequest,CreateCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsyncCreates a Git repository as a resource in your 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 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.
createCodeRepositoryAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateCompilationJobResult> createCompilationJobAsync(CreateCompilationJobRequest request)
AmazonSageMakerAsyncStarts 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.
createCompilationJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateCompilationJobResult> createCompilationJobAsync(CreateCompilationJobRequest request, AsyncHandler<CreateCompilationJobRequest,CreateCompilationJobResult> asyncHandler)
AmazonSageMakerAsyncStarts 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.
createCompilationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateContextResult> createContextAsync(CreateContextRequest request)
AmazonSageMakerAsyncCreates 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.
createContextAsync in interface AmazonSageMakerAsyncpublic Future<CreateContextResult> createContextAsync(CreateContextRequest request, AsyncHandler<CreateContextRequest,CreateContextResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createContextAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDataQualityJobDefinitionResult> createDataQualityJobDefinitionAsync(CreateDataQualityJobDefinitionRequest request)
AmazonSageMakerAsyncCreates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createDataQualityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<CreateDataQualityJobDefinitionResult> createDataQualityJobDefinitionAsync(CreateDataQualityJobDefinitionRequest request, AsyncHandler<CreateDataQualityJobDefinitionRequest,CreateDataQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncCreates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createDataQualityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDeviceFleetResult> createDeviceFleetAsync(CreateDeviceFleetRequest request)
AmazonSageMakerAsyncCreates a device fleet.
createDeviceFleetAsync in interface AmazonSageMakerAsyncpublic Future<CreateDeviceFleetResult> createDeviceFleetAsync(CreateDeviceFleetRequest request, AsyncHandler<CreateDeviceFleetRequest,CreateDeviceFleetResult> asyncHandler)
AmazonSageMakerAsyncCreates a device fleet.
createDeviceFleetAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDomainResult> createDomainAsync(CreateDomainRequest request)
AmazonSageMakerAsync
Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of
authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC)
configurations. Users within a domain can share notebook files and other artifacts with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other
traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType
corresponds to the network access type that you choose when you onboard to the domain. The following options are
available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows
internet access. This is the default value.
VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by
default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to run a Amazon SageMaker 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 Amazon SageMaker Studio app successfully.
For more information, see Connect Amazon SageMaker Studio Notebooks to Resources in a VPC.
createDomainAsync in interface AmazonSageMakerAsyncpublic Future<CreateDomainResult> createDomainAsync(CreateDomainRequest request, AsyncHandler<CreateDomainRequest,CreateDomainResult> asyncHandler)
AmazonSageMakerAsync
Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of
authorized users, and a variety of security, application, policy, and Amazon Virtual Private Cloud (VPC)
configurations. Users within a domain can share notebook files and other artifacts with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All traffic between the domain and the Amazon EFS volume is through the specified VPC and subnets. For other
traffic, you can specify the AppNetworkAccessType parameter. AppNetworkAccessType
corresponds to the network access type that you choose when you onboard to the domain. The following options are
available:
PublicInternetOnly - Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows
internet access. This is the default value.
VpcOnly - All traffic is through the specified VPC and subnets. Internet access is disabled by
default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to run a Amazon SageMaker 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 Amazon SageMaker Studio app successfully.
For more information, see Connect Amazon SageMaker Studio Notebooks to Resources in a VPC.
createDomainAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEdgeDeploymentPlanResult> createEdgeDeploymentPlanAsync(CreateEdgeDeploymentPlanRequest request)
AmazonSageMakerAsyncCreates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.
createEdgeDeploymentPlanAsync in interface AmazonSageMakerAsyncpublic Future<CreateEdgeDeploymentPlanResult> createEdgeDeploymentPlanAsync(CreateEdgeDeploymentPlanRequest request, AsyncHandler<CreateEdgeDeploymentPlanRequest,CreateEdgeDeploymentPlanResult> asyncHandler)
AmazonSageMakerAsyncCreates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.
createEdgeDeploymentPlanAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEdgeDeploymentStageResult> createEdgeDeploymentStageAsync(CreateEdgeDeploymentStageRequest request)
AmazonSageMakerAsyncCreates a new stage in an existing edge deployment plan.
createEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncpublic Future<CreateEdgeDeploymentStageResult> createEdgeDeploymentStageAsync(CreateEdgeDeploymentStageRequest request, AsyncHandler<CreateEdgeDeploymentStageRequest,CreateEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsyncCreates a new stage in an existing edge deployment plan.
createEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEdgePackagingJobResult> createEdgePackagingJobAsync(CreateEdgePackagingJobRequest request)
AmazonSageMakerAsyncStarts 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.
createEdgePackagingJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateEdgePackagingJobResult> createEdgePackagingJobAsync(CreateEdgePackagingJobRequest request, AsyncHandler<CreateEdgePackagingJobRequest,CreateEdgePackagingJobResult> asyncHandler)
AmazonSageMakerAsyncStarts 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.
createEdgePackagingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEndpointResult> createEndpointAsync(CreateEndpointRequest request)
AmazonSageMakerAsyncCreates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using SageMaker hosting services.
You must not delete an EndpointConfig that is in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.
When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a
load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a
DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call
DescribeEndpointConfig before calling CreateEndpoint to
minimize the potential impact of a DynamoDB eventually consistent read.
When SageMaker receives the request, it sets the endpoint status to Creating. After it creates the
endpoint, it sets the status to InService. SageMaker can then process incoming requests for
inferences. To check the status of an endpoint, use the DescribeEndpoint
API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.
Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess policy.
Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:
"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]
"Resource": [
"arn:aws:sagemaker:region:account-id:endpoint/endpointName"
"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"
]
For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.
createEndpointAsync in interface AmazonSageMakerAsyncpublic Future<CreateEndpointResult> createEndpointAsync(CreateEndpointRequest request, AsyncHandler<CreateEndpointRequest,CreateEndpointResult> asyncHandler)
AmazonSageMakerAsyncCreates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using SageMaker hosting services.
You must not delete an EndpointConfig that is in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.
When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a
load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a
DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call
DescribeEndpointConfig before calling CreateEndpoint to
minimize the potential impact of a DynamoDB eventually consistent read.
When SageMaker receives the request, it sets the endpoint status to Creating. After it creates the
endpoint, it sets the status to InService. SageMaker can then process incoming requests for
inferences. To check the status of an endpoint, use the DescribeEndpoint
API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.
Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess policy.
Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:
"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]
"Resource": [
"arn:aws:sagemaker:region:account-id:endpoint/endpointName"
"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"
]
For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.
createEndpointAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEndpointConfigResult> createEndpointConfigAsync(CreateEndpointConfigRequest request)
AmazonSageMakerAsync
Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration,
you identify one or more models, created using the CreateModel API, to deploy and the resources that
you want SageMaker to provision. Then you call the CreateEndpoint API.
Use this API if you want to use SageMaker hosting services to deploy models into production.
In the request, you define a ProductionVariant, for each model that you want to deploy. Each
ProductionVariant parameter also describes the resources that you want SageMaker to provision. This
includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you
want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign
traffic weight 2 for model A and 1 for model B. SageMaker distributes two-thirds of the traffic to Model A, and
one-third to model B.
When you call CreateEndpoint, a
load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a
DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call
DescribeEndpointConfig before calling CreateEndpoint to
minimize the potential impact of a DynamoDB eventually consistent read.
createEndpointConfigAsync in interface AmazonSageMakerAsyncpublic Future<CreateEndpointConfigResult> createEndpointConfigAsync(CreateEndpointConfigRequest request, AsyncHandler<CreateEndpointConfigRequest,CreateEndpointConfigResult> asyncHandler)
AmazonSageMakerAsync
Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration,
you identify one or more models, created using the CreateModel API, to deploy and the resources that
you want SageMaker to provision. Then you call the CreateEndpoint API.
Use this API if you want to use SageMaker hosting services to deploy models into production.
In the request, you define a ProductionVariant, for each model that you want to deploy. Each
ProductionVariant parameter also describes the resources that you want SageMaker to provision. This
includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you
want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign
traffic weight 2 for model A and 1 for model B. SageMaker distributes two-thirds of the traffic to Model A, and
one-third to model B.
When you call CreateEndpoint, a
load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a
DynamoDB table supporting
Eventually Consistent Reads , the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call
DescribeEndpointConfig before calling CreateEndpoint to
minimize the potential impact of a DynamoDB eventually consistent read.
createEndpointConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateExperimentResult> createExperimentAsync(CreateExperimentRequest request)
AmazonSageMakerAsyncCreates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description parameter. To add a
description later, or to change the description, call the UpdateExperiment
API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
createExperimentAsync in interface AmazonSageMakerAsyncpublic Future<CreateExperimentResult> createExperimentAsync(CreateExperimentRequest request, AsyncHandler<CreateExperimentRequest,CreateExperimentResult> asyncHandler)
AmazonSageMakerAsyncCreates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description parameter. To add a
description later, or to change the description, call the UpdateExperiment
API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
createExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateFeatureGroupResult> createFeatureGroupAsync(CreateFeatureGroupRequest request)
AmazonSageMakerAsync
Create a new FeatureGroup. A FeatureGroup is a group of Features defined
in the FeatureStore to describe a Record.
The FeatureGroup defines the schema and features contained in the FeatureGroup. A
FeatureGroup definition is composed of a list of Features, a
RecordIdentifierFeatureName, an EventTimeFeatureName and configurations for its
OnlineStore and OfflineStore. Check Amazon Web Services service
quotas to see the FeatureGroups quota for your Amazon Web Services account.
Note that it can take approximately 10-15 minutes to provision an OnlineStore
FeatureGroup with the InMemory StorageType.
You must include at least one of OnlineStoreConfig and OfflineStoreConfig to create a
FeatureGroup.
createFeatureGroupAsync in interface AmazonSageMakerAsyncpublic Future<CreateFeatureGroupResult> createFeatureGroupAsync(CreateFeatureGroupRequest request, AsyncHandler<CreateFeatureGroupRequest,CreateFeatureGroupResult> asyncHandler)
AmazonSageMakerAsync
Create a new FeatureGroup. A FeatureGroup is a group of Features defined
in the FeatureStore to describe a Record.
The FeatureGroup defines the schema and features contained in the FeatureGroup. A
FeatureGroup definition is composed of a list of Features, a
RecordIdentifierFeatureName, an EventTimeFeatureName and configurations for its
OnlineStore and OfflineStore. Check Amazon Web Services service
quotas to see the FeatureGroups quota for your Amazon Web Services account.
Note that it can take approximately 10-15 minutes to provision an OnlineStore
FeatureGroup with the InMemory StorageType.
You must include at least one of OnlineStoreConfig and OfflineStoreConfig to create a
FeatureGroup.
createFeatureGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateFlowDefinitionResult> createFlowDefinitionAsync(CreateFlowDefinitionRequest request)
AmazonSageMakerAsyncCreates a flow definition.
createFlowDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<CreateFlowDefinitionResult> createFlowDefinitionAsync(CreateFlowDefinitionRequest request, AsyncHandler<CreateFlowDefinitionRequest,CreateFlowDefinitionResult> asyncHandler)
AmazonSageMakerAsyncCreates a flow definition.
createFlowDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHubResult> createHubAsync(CreateHubRequest request)
AmazonSageMakerAsyncCreate a hub.
createHubAsync in interface AmazonSageMakerAsyncpublic Future<CreateHubResult> createHubAsync(CreateHubRequest request, AsyncHandler<CreateHubRequest,CreateHubResult> asyncHandler)
AmazonSageMakerAsyncCreate a hub.
createHubAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHubContentReferenceResult> createHubContentReferenceAsync(CreateHubContentReferenceRequest request)
AmazonSageMakerAsyncCreate a hub content reference in order to add a model in the JumpStart public hub to a private hub.
createHubContentReferenceAsync in interface AmazonSageMakerAsyncpublic Future<CreateHubContentReferenceResult> createHubContentReferenceAsync(CreateHubContentReferenceRequest request, AsyncHandler<CreateHubContentReferenceRequest,CreateHubContentReferenceResult> asyncHandler)
AmazonSageMakerAsyncCreate a hub content reference in order to add a model in the JumpStart public hub to a private hub.
createHubContentReferenceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHumanTaskUiResult> createHumanTaskUiAsync(CreateHumanTaskUiRequest request)
AmazonSageMakerAsyncDefines 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.
createHumanTaskUiAsync in interface AmazonSageMakerAsyncpublic Future<CreateHumanTaskUiResult> createHumanTaskUiAsync(CreateHumanTaskUiRequest request, AsyncHandler<CreateHumanTaskUiRequest,CreateHumanTaskUiResult> asyncHandler)
AmazonSageMakerAsyncDefines 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.
createHumanTaskUiAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHyperParameterTuningJobResult> createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request)
AmazonSageMakerAsyncStarts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
A hyperparameter tuning job automatically creates Amazon SageMaker experiments, trials, and trial components for each training job that it runs. You can view these entities in Amazon SageMaker Studio. For more information, see View Experiments, Trials, and Trial Components.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
createHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateHyperParameterTuningJobResult> createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsyncStarts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
A hyperparameter tuning job automatically creates Amazon SageMaker experiments, trials, and trial components for each training job that it runs. You can view these entities in Amazon SageMaker Studio. For more information, see View Experiments, Trials, and Trial Components.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
createHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateImageResult> createImageAsync(CreateImageRequest request)
AmazonSageMakerAsyncCreates a custom SageMaker image. A SageMaker image is a set of image versions. Each image version represents a container image stored in Amazon ECR. For more information, see Bring your own SageMaker image.
createImageAsync in interface AmazonSageMakerAsyncpublic Future<CreateImageResult> createImageAsync(CreateImageRequest request, AsyncHandler<CreateImageRequest,CreateImageResult> asyncHandler)
AmazonSageMakerAsyncCreates a custom SageMaker image. A SageMaker image is a set of image versions. Each image version represents a container image stored in Amazon ECR. For more information, see Bring your own SageMaker image.
createImageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateImageVersionResult> createImageVersionAsync(CreateImageVersionRequest request)
AmazonSageMakerAsync
Creates a version of the SageMaker image specified by ImageName. The version represents the Amazon
ECR container image specified by BaseImage.
createImageVersionAsync in interface AmazonSageMakerAsyncpublic Future<CreateImageVersionResult> createImageVersionAsync(CreateImageVersionRequest request, AsyncHandler<CreateImageVersionRequest,CreateImageVersionResult> asyncHandler)
AmazonSageMakerAsync
Creates a version of the SageMaker image specified by ImageName. The version represents the Amazon
ECR container image specified by BaseImage.
createImageVersionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateInferenceComponentResult> createInferenceComponentAsync(CreateInferenceComponentRequest request)
AmazonSageMakerAsyncCreates an inference component, which is a SageMaker hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You can optimize resource utilization by tailoring how the required CPU cores, accelerators, and memory are allocated. You can deploy multiple inference components to an endpoint, where each inference component contains one model and the resource utilization needs for that individual model. After you deploy an inference component, you can directly invoke the associated model when you use the InvokeEndpoint API action.
createInferenceComponentAsync in interface AmazonSageMakerAsyncpublic Future<CreateInferenceComponentResult> createInferenceComponentAsync(CreateInferenceComponentRequest request, AsyncHandler<CreateInferenceComponentRequest,CreateInferenceComponentResult> asyncHandler)
AmazonSageMakerAsyncCreates an inference component, which is a SageMaker hosting object that you can use to deploy a model to an endpoint. In the inference component settings, you specify the model, the endpoint, and how the model utilizes the resources that the endpoint hosts. You can optimize resource utilization by tailoring how the required CPU cores, accelerators, and memory are allocated. You can deploy multiple inference components to an endpoint, where each inference component contains one model and the resource utilization needs for that individual model. After you deploy an inference component, you can directly invoke the associated model when you use the InvokeEndpoint API action.
createInferenceComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateInferenceExperimentResult> createInferenceExperimentAsync(CreateInferenceExperimentRequest request)
AmazonSageMakerAsyncCreates an inference experiment using the configurations specified in the request.
Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.
Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.
While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.
createInferenceExperimentAsync in interface AmazonSageMakerAsyncpublic Future<CreateInferenceExperimentResult> createInferenceExperimentAsync(CreateInferenceExperimentRequest request, AsyncHandler<CreateInferenceExperimentRequest,CreateInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsyncCreates an inference experiment using the configurations specified in the request.
Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.
Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.
While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.
createInferenceExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateInferenceRecommendationsJobResult> createInferenceRecommendationsJobAsync(CreateInferenceRecommendationsJobRequest request)
AmazonSageMakerAsyncStarts a recommendation job. You can create either an instance recommendation or load test job.
createInferenceRecommendationsJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateInferenceRecommendationsJobResult> createInferenceRecommendationsJobAsync(CreateInferenceRecommendationsJobRequest request, AsyncHandler<CreateInferenceRecommendationsJobRequest,CreateInferenceRecommendationsJobResult> asyncHandler)
AmazonSageMakerAsyncStarts a recommendation job. You can create either an instance recommendation or load test job.
createInferenceRecommendationsJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateLabelingJobResult> createLabelingJobAsync(CreateLabelingJobRequest request)
AmazonSageMakerAsyncCreates 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.
createLabelingJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateLabelingJobResult> createLabelingJobAsync(CreateLabelingJobRequest request, AsyncHandler<CreateLabelingJobRequest,CreateLabelingJobResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createLabelingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateMlflowTrackingServerResult> createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request)
AmazonSageMakerAsyncCreates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.
createMlflowTrackingServerAsync in interface AmazonSageMakerAsyncpublic Future<CreateMlflowTrackingServerResult> createMlflowTrackingServerAsync(CreateMlflowTrackingServerRequest request, AsyncHandler<CreateMlflowTrackingServerRequest,CreateMlflowTrackingServerResult> asyncHandler)
AmazonSageMakerAsyncCreates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store. For more information, see Create an MLflow Tracking Server.
createMlflowTrackingServerAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelResult> createModelAsync(CreateModelRequest request)
AmazonSageMakerAsyncCreates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then
create an endpoint with the CreateEndpoint API. SageMaker then deploys all of the containers that
you defined for the model in the hosting environment.
To run a batch transform using your model, you start a job with the CreateTransformJob API.
SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the request, you also provide an IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.
createModelAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelResult> createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
AmazonSageMakerAsyncCreates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig API, and then
create an endpoint with the CreateEndpoint API. SageMaker then deploys all of the containers that
you defined for the model in the hosting environment.
To run a batch transform using your model, you start a job with the CreateTransformJob API.
SageMaker uses your model and your dataset to get inferences which are then saved to a specified S3 location.
In the request, you also provide an IAM role that SageMaker can assume to access model artifacts and docker image for deployment on ML compute hosting instances or for batch transform jobs. In addition, you also use the IAM role to manage permissions the inference code needs. For example, if the inference code access any other Amazon Web Services resources, you grant necessary permissions via this role.
createModelAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelBiasJobDefinitionResult> createModelBiasJobDefinitionAsync(CreateModelBiasJobDefinitionRequest request)
AmazonSageMakerAsyncCreates the definition for a model bias job.
createModelBiasJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelBiasJobDefinitionResult> createModelBiasJobDefinitionAsync(CreateModelBiasJobDefinitionRequest request, AsyncHandler<CreateModelBiasJobDefinitionRequest,CreateModelBiasJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncCreates the definition for a model bias job.
createModelBiasJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelCardResult> createModelCardAsync(CreateModelCardRequest request)
AmazonSageMakerAsyncCreates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
createModelCardAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelCardResult> createModelCardAsync(CreateModelCardRequest request, AsyncHandler<CreateModelCardRequest,CreateModelCardResult> asyncHandler)
AmazonSageMakerAsyncCreates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
createModelCardAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelCardExportJobResult> createModelCardExportJobAsync(CreateModelCardExportJobRequest request)
AmazonSageMakerAsyncCreates an Amazon SageMaker Model Card export job.
createModelCardExportJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelCardExportJobResult> createModelCardExportJobAsync(CreateModelCardExportJobRequest request, AsyncHandler<CreateModelCardExportJobRequest,CreateModelCardExportJobResult> asyncHandler)
AmazonSageMakerAsyncCreates an Amazon SageMaker Model Card export job.
createModelCardExportJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelExplainabilityJobDefinitionResult> createModelExplainabilityJobDefinitionAsync(CreateModelExplainabilityJobDefinitionRequest request)
AmazonSageMakerAsyncCreates the definition for a model explainability job.
createModelExplainabilityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelExplainabilityJobDefinitionResult> createModelExplainabilityJobDefinitionAsync(CreateModelExplainabilityJobDefinitionRequest request, AsyncHandler<CreateModelExplainabilityJobDefinitionRequest,CreateModelExplainabilityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncCreates the definition for a model explainability job.
createModelExplainabilityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelPackageResult> createModelPackageAsync(CreateModelPackageRequest request)
AmazonSageMakerAsyncCreates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3
location of your model artifacts, provide values for InferenceSpecification. To create a model from
an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for
SourceAlgorithmSpecification.
There are two types of model packages:
Versioned - a model that is part of a model group in the model registry.
Unversioned - a model package that is not part of a model group.
createModelPackageAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelPackageResult> createModelPackageAsync(CreateModelPackageRequest request, AsyncHandler<CreateModelPackageRequest,CreateModelPackageResult> asyncHandler)
AmazonSageMakerAsyncCreates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3
location of your model artifacts, provide values for InferenceSpecification. To create a model from
an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for
SourceAlgorithmSpecification.
There are two types of model packages:
Versioned - a model that is part of a model group in the model registry.
Unversioned - a model package that is not part of a model group.
createModelPackageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelPackageGroupResult> createModelPackageGroupAsync(CreateModelPackageGroupRequest request)
AmazonSageMakerAsyncCreates a model group. A model group contains a group of model versions.
createModelPackageGroupAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelPackageGroupResult> createModelPackageGroupAsync(CreateModelPackageGroupRequest request, AsyncHandler<CreateModelPackageGroupRequest,CreateModelPackageGroupResult> asyncHandler)
AmazonSageMakerAsyncCreates a model group. A model group contains a group of model versions.
createModelPackageGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelQualityJobDefinitionResult> createModelQualityJobDefinitionAsync(CreateModelQualityJobDefinitionRequest request)
AmazonSageMakerAsyncCreates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createModelQualityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<CreateModelQualityJobDefinitionResult> createModelQualityJobDefinitionAsync(CreateModelQualityJobDefinitionRequest request, AsyncHandler<CreateModelQualityJobDefinitionRequest,CreateModelQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncCreates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createModelQualityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateMonitoringScheduleResult> createMonitoringScheduleAsync(CreateMonitoringScheduleRequest request)
AmazonSageMakerAsyncCreates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.
createMonitoringScheduleAsync in interface AmazonSageMakerAsyncpublic Future<CreateMonitoringScheduleResult> createMonitoringScheduleAsync(CreateMonitoringScheduleRequest request, AsyncHandler<CreateMonitoringScheduleRequest,CreateMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsyncCreates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.
createMonitoringScheduleAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateNotebookInstanceResult> createNotebookInstanceAsync(CreateNotebookInstanceRequest request)
AmazonSageMakerAsyncCreates an 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.
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.
SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker with a specific algorithm or with a machine learning framework.
After receiving the request, SageMaker does the following:
Creates a network interface in the SageMaker VPC.
(Option) If you specified SubnetId, 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, SageMaker
attaches the security group that you specified in the request to the network interface that it creates in your
VPC.
Launches an EC2 instance of the type specified in the request in the SageMaker VPC. If you specified
SubnetId of your VPC, 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, SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.
After 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 SageMaker endpoints, and validate hosted models.
For more information, see How It Works.
createNotebookInstanceAsync in interface AmazonSageMakerAsyncpublic Future<CreateNotebookInstanceResult> createNotebookInstanceAsync(CreateNotebookInstanceRequest request, AsyncHandler<CreateNotebookInstanceRequest,CreateNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsyncCreates an 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.
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.
SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use SageMaker with a specific algorithm or with a machine learning framework.
After receiving the request, SageMaker does the following:
Creates a network interface in the SageMaker VPC.
(Option) If you specified SubnetId, 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, SageMaker
attaches the security group that you specified in the request to the network interface that it creates in your
VPC.
Launches an EC2 instance of the type specified in the request in the SageMaker VPC. If you specified
SubnetId of your VPC, 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, SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it.
After 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 SageMaker endpoints, and validate hosted models.
For more information, see How It Works.
createNotebookInstanceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateNotebookInstanceLifecycleConfigResult> createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsyncCreates 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 Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group
/aws/sagemaker/NotebookInstances in log stream
[notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
createNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<CreateNotebookInstanceLifecycleConfigResult> createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request, AsyncHandler<CreateNotebookInstanceLifecycleConfigRequest,CreateNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncCreates 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 Amazon CloudWatch Logs for notebook instance lifecycle configurations in log group
/aws/sagemaker/NotebookInstances in log stream
[notebook-instance-name]/[LifecycleConfigHook].
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
createNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateOptimizationJobResult> createOptimizationJobAsync(CreateOptimizationJobRequest request)
AmazonSageMakerAsyncCreates a job that optimizes a model for inference performance. To create the job, you provide the location of a source model, and you provide the settings for the optimization techniques that you want the job to apply. When the job completes successfully, SageMaker uploads the new optimized model to the output destination that you specify.
For more information about how to use this action, and about the supported optimization techniques, see Optimize model inference with Amazon SageMaker.
createOptimizationJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateOptimizationJobResult> createOptimizationJobAsync(CreateOptimizationJobRequest request, AsyncHandler<CreateOptimizationJobRequest,CreateOptimizationJobResult> asyncHandler)
AmazonSageMakerAsyncCreates a job that optimizes a model for inference performance. To create the job, you provide the location of a source model, and you provide the settings for the optimization techniques that you want the job to apply. When the job completes successfully, SageMaker uploads the new optimized model to the output destination that you specify.
For more information about how to use this action, and about the supported optimization techniques, see Optimize model inference with Amazon SageMaker.
createOptimizationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePipelineResult> createPipelineAsync(CreatePipelineRequest request)
AmazonSageMakerAsyncCreates a pipeline using a JSON pipeline definition.
createPipelineAsync in interface AmazonSageMakerAsyncpublic Future<CreatePipelineResult> createPipelineAsync(CreatePipelineRequest request, AsyncHandler<CreatePipelineRequest,CreatePipelineResult> asyncHandler)
AmazonSageMakerAsyncCreates a pipeline using a JSON pipeline definition.
createPipelineAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePresignedDomainUrlResult> createPresignedDomainUrlAsync(CreatePresignedDomainUrlRequest request)
AmazonSageMakerAsyncCreates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to the domain, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System volume. This operation can only be called when the authentication mode equals IAM.
The IAM role or user passed to this API defines the permissions to access the app. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the app.
You can restrict access to this API and to the URL that it returns to a list of IP addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more information, see Connect to Amazon SageMaker 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.
createPresignedDomainUrlAsync in interface AmazonSageMakerAsyncpublic Future<CreatePresignedDomainUrlResult> createPresignedDomainUrlAsync(CreatePresignedDomainUrlRequest request, AsyncHandler<CreatePresignedDomainUrlRequest,CreatePresignedDomainUrlResult> asyncHandler)
AmazonSageMakerAsyncCreates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to the domain, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System volume. This operation can only be called when the authentication mode equals IAM.
The IAM role or user passed to this API defines the permissions to access the app. Once the presigned URL is created, no additional permission is required to access this URL. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the app.
You can restrict access to this API and to the URL that it returns to a list of IP addresses, Amazon VPCs or Amazon VPC Endpoints that you specify. For more information, see Connect to Amazon SageMaker 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.
createPresignedDomainUrlAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePresignedMlflowTrackingServerUrlResult> createPresignedMlflowTrackingServerUrlAsync(CreatePresignedMlflowTrackingServerUrlRequest request)
AmazonSageMakerAsyncReturns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server. For more information, see Launch the MLflow UI using a presigned URL.
createPresignedMlflowTrackingServerUrlAsync in interface AmazonSageMakerAsyncpublic Future<CreatePresignedMlflowTrackingServerUrlResult> createPresignedMlflowTrackingServerUrlAsync(CreatePresignedMlflowTrackingServerUrlRequest request, AsyncHandler<CreatePresignedMlflowTrackingServerUrlRequest,CreatePresignedMlflowTrackingServerUrlResult> asyncHandler)
AmazonSageMakerAsyncReturns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server. For more information, see Launch the MLflow UI using a presigned URL.
createPresignedMlflowTrackingServerUrlAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePresignedNotebookInstanceUrlResult> createPresignedNotebookInstanceUrlAsync(CreatePresignedNotebookInstanceUrlRequest request)
AmazonSageMakerAsync
Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the SageMaker
console, when you choose Open next to a notebook instance, 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.
createPresignedNotebookInstanceUrlAsync in interface AmazonSageMakerAsyncpublic Future<CreatePresignedNotebookInstanceUrlResult> createPresignedNotebookInstanceUrlAsync(CreatePresignedNotebookInstanceUrlRequest request, AsyncHandler<CreatePresignedNotebookInstanceUrlRequest,CreatePresignedNotebookInstanceUrlResult> asyncHandler)
AmazonSageMakerAsync
Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the SageMaker
console, when you choose Open next to a notebook instance, 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.
createPresignedNotebookInstanceUrlAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateProcessingJobResult> createProcessingJobAsync(CreateProcessingJobRequest request)
AmazonSageMakerAsyncCreates a processing job.
createProcessingJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateProcessingJobResult> createProcessingJobAsync(CreateProcessingJobRequest request, AsyncHandler<CreateProcessingJobRequest,CreateProcessingJobResult> asyncHandler)
AmazonSageMakerAsyncCreates a processing job.
createProcessingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateProjectResult> createProjectAsync(CreateProjectRequest request)
AmazonSageMakerAsyncCreates 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.
createProjectAsync in interface AmazonSageMakerAsyncpublic Future<CreateProjectResult> createProjectAsync(CreateProjectRequest request, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createProjectAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateSpaceResult> createSpaceAsync(CreateSpaceRequest request)
AmazonSageMakerAsyncCreates a private space or a space used for real time collaboration in a domain.
createSpaceAsync in interface AmazonSageMakerAsyncpublic Future<CreateSpaceResult> createSpaceAsync(CreateSpaceRequest request, AsyncHandler<CreateSpaceRequest,CreateSpaceResult> asyncHandler)
AmazonSageMakerAsyncCreates a private space or a space used for real time collaboration in a domain.
createSpaceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateStudioLifecycleConfigResult> createStudioLifecycleConfigAsync(CreateStudioLifecycleConfigRequest request)
AmazonSageMakerAsyncCreates a new Amazon SageMaker Studio Lifecycle Configuration.
createStudioLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<CreateStudioLifecycleConfigResult> createStudioLifecycleConfigAsync(CreateStudioLifecycleConfigRequest request, AsyncHandler<CreateStudioLifecycleConfigRequest,CreateStudioLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncCreates a new Amazon SageMaker Studio Lifecycle Configuration.
createStudioLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrainingJobResult> createTrainingJobAsync(CreateTrainingJobRequest request)
AmazonSageMakerAsyncStarts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model
parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of
hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx
location where it is stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want SageMaker to save the results of
model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy
for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by
using Amazon EC2 Spot instances. For more information, see Managed Spot
Training.
RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf
during model training. You must grant this role the necessary permissions so that SageMaker can successfully
complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time
limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to
complete.
Environment - The environment variables to set in the Docker container.
RetryStrategy - The number of times to retry the job when the job fails due to an
InternalServerError.
For more information about SageMaker, see How It Works.
createTrainingJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateTrainingJobResult> createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)
AmazonSageMakerAsyncStarts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification - Identifies the training algorithm to use.
HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model
parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of
hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter field. If the use of security-sensitive credentials are detected, SageMaker will reject your training job request and return an exception error.
InputDataConfig - Describes the input required by the training job and the Amazon S3, EFS, or FSx
location where it is stored.
OutputDataConfig - Identifies the Amazon S3 bucket where you want SageMaker to save the results of
model training.
ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy
for model training. In distributed training, you specify more than one instance.
EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by
using Amazon EC2 Spot instances. For more information, see Managed Spot
Training.
RoleArn - The Amazon Resource Name (ARN) that SageMaker assumes to perform tasks on your behalf
during model training. You must grant this role the necessary permissions so that SageMaker can successfully
complete model training.
StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time
limit for training. Use MaxWaitTimeInSeconds to specify how long a managed spot training job has to
complete.
Environment - The environment variables to set in the Docker container.
RetryStrategy - The number of times to retry the job when the job fails due to an
InternalServerError.
For more information about SageMaker, see How It Works.
createTrainingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTransformJobResult> createTransformJobAsync(CreateTransformJobRequest request)
AmazonSageMakerAsyncStarts 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.
createTransformJobAsync in interface AmazonSageMakerAsyncpublic Future<CreateTransformJobResult> createTransformJobAsync(CreateTransformJobRequest request, AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler)
AmazonSageMakerAsyncStarts 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.
createTransformJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrialResult> createTrialAsync(CreateTrialRequest request)
AmazonSageMakerAsyncCreates 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.
createTrialAsync in interface AmazonSageMakerAsyncpublic Future<CreateTrialResult> createTrialAsync(CreateTrialRequest request, AsyncHandler<CreateTrialRequest,CreateTrialResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createTrialAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrialComponentResult> createTrialComponentAsync(CreateTrialComponentRequest request)
AmazonSageMakerAsyncCreates 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.
createTrialComponentAsync in interface AmazonSageMakerAsyncpublic Future<CreateTrialComponentResult> createTrialComponentAsync(CreateTrialComponentRequest request, AsyncHandler<CreateTrialComponentRequest,CreateTrialComponentResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createTrialComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateUserProfileResult> createUserProfileAsync(CreateUserProfileRequest request)
AmazonSageMakerAsyncCreates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System home directory.
createUserProfileAsync in interface AmazonSageMakerAsyncpublic Future<CreateUserProfileResult> createUserProfileAsync(CreateUserProfileRequest request, AsyncHandler<CreateUserProfileRequest,CreateUserProfileResult> asyncHandler)
AmazonSageMakerAsyncCreates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to a domain. If an administrator invites a person by email or imports them from IAM Identity Center, a user profile is automatically created. A user profile is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System home directory.
createUserProfileAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateWorkforceResult> createWorkforceAsync(CreateWorkforceRequest request)
AmazonSageMakerAsyncUse this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the
DeleteWorkforce
API operation to delete the existing workforce and then use CreateWorkforce to create a new
workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in
CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console.
For more information, see Create a Private
Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in
OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and
Amazon A2I to create work teams. For more information, see Create a Private
Workforce (OIDC IdP).
createWorkforceAsync in interface AmazonSageMakerAsyncpublic Future<CreateWorkforceResult> createWorkforceAsync(CreateWorkforceRequest request, AsyncHandler<CreateWorkforceRequest,CreateWorkforceResult> asyncHandler)
AmazonSageMakerAsyncUse this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the
DeleteWorkforce
API operation to delete the existing workforce and then use CreateWorkforce to create a new
workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in
CognitoConfig. You can also create an Amazon Cognito workforce using the Amazon SageMaker console.
For more information, see Create a Private
Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in
OidcConfig. Your OIDC IdP must support groups because groups are used by Ground Truth and
Amazon A2I to create work teams. For more information, see Create a Private
Workforce (OIDC IdP).
createWorkforceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateWorkteamResult> createWorkteamAsync(CreateWorkteamRequest request)
AmazonSageMakerAsyncCreates 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.
createWorkteamAsync in interface AmazonSageMakerAsyncpublic Future<CreateWorkteamResult> createWorkteamAsync(CreateWorkteamRequest request, AsyncHandler<CreateWorkteamRequest,CreateWorkteamResult> asyncHandler)
AmazonSageMakerAsyncCreates 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.
createWorkteamAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteActionResult> deleteActionAsync(DeleteActionRequest request)
AmazonSageMakerAsyncDeletes an action.
deleteActionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteActionResult> deleteActionAsync(DeleteActionRequest request, AsyncHandler<DeleteActionRequest,DeleteActionResult> asyncHandler)
AmazonSageMakerAsyncDeletes an action.
deleteActionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAlgorithmResult> deleteAlgorithmAsync(DeleteAlgorithmRequest request)
AmazonSageMakerAsyncRemoves the specified algorithm from your account.
deleteAlgorithmAsync in interface AmazonSageMakerAsyncpublic Future<DeleteAlgorithmResult> deleteAlgorithmAsync(DeleteAlgorithmRequest request, AsyncHandler<DeleteAlgorithmRequest,DeleteAlgorithmResult> asyncHandler)
AmazonSageMakerAsyncRemoves the specified algorithm from your account.
deleteAlgorithmAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAppResult> deleteAppAsync(DeleteAppRequest request)
AmazonSageMakerAsyncUsed to stop and delete an app.
deleteAppAsync in interface AmazonSageMakerAsyncpublic Future<DeleteAppResult> deleteAppAsync(DeleteAppRequest request, AsyncHandler<DeleteAppRequest,DeleteAppResult> asyncHandler)
AmazonSageMakerAsyncUsed to stop and delete an app.
deleteAppAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAppImageConfigResult> deleteAppImageConfigAsync(DeleteAppImageConfigRequest request)
AmazonSageMakerAsyncDeletes an AppImageConfig.
deleteAppImageConfigAsync in interface AmazonSageMakerAsyncpublic Future<DeleteAppImageConfigResult> deleteAppImageConfigAsync(DeleteAppImageConfigRequest request, AsyncHandler<DeleteAppImageConfigRequest,DeleteAppImageConfigResult> asyncHandler)
AmazonSageMakerAsyncDeletes an AppImageConfig.
deleteAppImageConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteArtifactResult> deleteArtifactAsync(DeleteArtifactRequest request)
AmazonSageMakerAsync
Deletes an artifact. Either ArtifactArn or Source must be specified.
deleteArtifactAsync in interface AmazonSageMakerAsyncpublic Future<DeleteArtifactResult> deleteArtifactAsync(DeleteArtifactRequest request, AsyncHandler<DeleteArtifactRequest,DeleteArtifactResult> asyncHandler)
AmazonSageMakerAsync
Deletes an artifact. Either ArtifactArn or Source must be specified.
deleteArtifactAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAssociationResult> deleteAssociationAsync(DeleteAssociationRequest request)
AmazonSageMakerAsyncDeletes an association.
deleteAssociationAsync in interface AmazonSageMakerAsyncpublic Future<DeleteAssociationResult> deleteAssociationAsync(DeleteAssociationRequest request, AsyncHandler<DeleteAssociationRequest,DeleteAssociationResult> asyncHandler)
AmazonSageMakerAsyncDeletes an association.
deleteAssociationAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteClusterResult> deleteClusterAsync(DeleteClusterRequest request)
AmazonSageMakerAsyncDelete a SageMaker HyperPod cluster.
deleteClusterAsync in interface AmazonSageMakerAsyncpublic Future<DeleteClusterResult> deleteClusterAsync(DeleteClusterRequest request, AsyncHandler<DeleteClusterRequest,DeleteClusterResult> asyncHandler)
AmazonSageMakerAsyncDelete a SageMaker HyperPod cluster.
deleteClusterAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteCodeRepositoryResult> deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request)
AmazonSageMakerAsyncDeletes the specified Git repository from your account.
deleteCodeRepositoryAsync in interface AmazonSageMakerAsyncpublic Future<DeleteCodeRepositoryResult> deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request, AsyncHandler<DeleteCodeRepositoryRequest,DeleteCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified Git repository from your account.
deleteCodeRepositoryAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteCompilationJobResult> deleteCompilationJobAsync(DeleteCompilationJobRequest request)
AmazonSageMakerAsyncDeletes the specified compilation job. This action deletes only the compilation job resource in Amazon SageMaker. It doesn't delete other resources that are related to that job, such as the model artifacts that the job creates, the compilation logs in CloudWatch, the compiled model, or the IAM role.
You can delete a compilation job only if its current status is COMPLETED, FAILED, or
STOPPED. If the job status is STARTING or INPROGRESS, stop the job, and
then delete it after its status becomes STOPPED.
deleteCompilationJobAsync in interface AmazonSageMakerAsyncpublic Future<DeleteCompilationJobResult> deleteCompilationJobAsync(DeleteCompilationJobRequest request, AsyncHandler<DeleteCompilationJobRequest,DeleteCompilationJobResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified compilation job. This action deletes only the compilation job resource in Amazon SageMaker. It doesn't delete other resources that are related to that job, such as the model artifacts that the job creates, the compilation logs in CloudWatch, the compiled model, or the IAM role.
You can delete a compilation job only if its current status is COMPLETED, FAILED, or
STOPPED. If the job status is STARTING or INPROGRESS, stop the job, and
then delete it after its status becomes STOPPED.
deleteCompilationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteContextResult> deleteContextAsync(DeleteContextRequest request)
AmazonSageMakerAsyncDeletes an context.
deleteContextAsync in interface AmazonSageMakerAsyncpublic Future<DeleteContextResult> deleteContextAsync(DeleteContextRequest request, AsyncHandler<DeleteContextRequest,DeleteContextResult> asyncHandler)
AmazonSageMakerAsyncDeletes an context.
deleteContextAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDataQualityJobDefinitionResult> deleteDataQualityJobDefinitionAsync(DeleteDataQualityJobDefinitionRequest request)
AmazonSageMakerAsyncDeletes a data quality monitoring job definition.
deleteDataQualityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteDataQualityJobDefinitionResult> deleteDataQualityJobDefinitionAsync(DeleteDataQualityJobDefinitionRequest request, AsyncHandler<DeleteDataQualityJobDefinitionRequest,DeleteDataQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncDeletes a data quality monitoring job definition.
deleteDataQualityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDeviceFleetResult> deleteDeviceFleetAsync(DeleteDeviceFleetRequest request)
AmazonSageMakerAsyncDeletes a fleet.
deleteDeviceFleetAsync in interface AmazonSageMakerAsyncpublic Future<DeleteDeviceFleetResult> deleteDeviceFleetAsync(DeleteDeviceFleetRequest request, AsyncHandler<DeleteDeviceFleetRequest,DeleteDeviceFleetResult> asyncHandler)
AmazonSageMakerAsyncDeletes a fleet.
deleteDeviceFleetAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDomainResult> deleteDomainAsync(DeleteDomainRequest request)
AmazonSageMakerAsyncUsed to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
deleteDomainAsync in interface AmazonSageMakerAsyncpublic Future<DeleteDomainResult> deleteDomainAsync(DeleteDomainRequest request, AsyncHandler<DeleteDomainRequest,DeleteDomainResult> asyncHandler)
AmazonSageMakerAsyncUsed to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
deleteDomainAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEdgeDeploymentPlanResult> deleteEdgeDeploymentPlanAsync(DeleteEdgeDeploymentPlanRequest request)
AmazonSageMakerAsyncDeletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
deleteEdgeDeploymentPlanAsync in interface AmazonSageMakerAsyncpublic Future<DeleteEdgeDeploymentPlanResult> deleteEdgeDeploymentPlanAsync(DeleteEdgeDeploymentPlanRequest request, AsyncHandler<DeleteEdgeDeploymentPlanRequest,DeleteEdgeDeploymentPlanResult> asyncHandler)
AmazonSageMakerAsyncDeletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
deleteEdgeDeploymentPlanAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEdgeDeploymentStageResult> deleteEdgeDeploymentStageAsync(DeleteEdgeDeploymentStageRequest request)
AmazonSageMakerAsyncDelete a stage in an edge deployment plan if (and only if) the stage is inactive.
deleteEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncpublic Future<DeleteEdgeDeploymentStageResult> deleteEdgeDeploymentStageAsync(DeleteEdgeDeploymentStageRequest request, AsyncHandler<DeleteEdgeDeploymentStageRequest,DeleteEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsyncDelete a stage in an edge deployment plan if (and only if) the stage is inactive.
deleteEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEndpointResult> deleteEndpointAsync(DeleteEndpointRequest request)
AmazonSageMakerAsyncDeletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.
SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key
grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do
not delete or revoke the permissions for your
ExecutionRoleArn
, otherwise SageMaker cannot delete these resources.
deleteEndpointAsync in interface AmazonSageMakerAsyncpublic Future<DeleteEndpointResult> deleteEndpointAsync(DeleteEndpointRequest request, AsyncHandler<DeleteEndpointRequest,DeleteEndpointResult> asyncHandler)
AmazonSageMakerAsyncDeletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.
SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key
grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do
not delete or revoke the permissions for your
ExecutionRoleArn
, otherwise SageMaker cannot delete these resources.
deleteEndpointAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEndpointConfigResult> deleteEndpointConfigAsync(DeleteEndpointConfigRequest request)
AmazonSageMakerAsync
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.
deleteEndpointConfigAsync in interface AmazonSageMakerAsyncpublic Future<DeleteEndpointConfigResult> deleteEndpointConfigAsync(DeleteEndpointConfigRequest request, AsyncHandler<DeleteEndpointConfigRequest,DeleteEndpointConfigResult> asyncHandler)
AmazonSageMakerAsync
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.
deleteEndpointConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteExperimentResult> deleteExperimentAsync(DeleteExperimentRequest request)
AmazonSageMakerAsyncDeletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
deleteExperimentAsync in interface AmazonSageMakerAsyncpublic Future<DeleteExperimentResult> deleteExperimentAsync(DeleteExperimentRequest request, AsyncHandler<DeleteExperimentRequest,DeleteExperimentResult> asyncHandler)
AmazonSageMakerAsyncDeletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
deleteExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteFeatureGroupResult> deleteFeatureGroupAsync(DeleteFeatureGroupRequest request)
AmazonSageMakerAsync
Delete the FeatureGroup and any data that was written to the OnlineStore of the
FeatureGroup. Data cannot be accessed from the OnlineStore immediately after
DeleteFeatureGroup is called.
Data written into the OfflineStore will not be deleted. The Amazon Web Services Glue database and
tables that are automatically created for your OfflineStore are not deleted.
Note that it can take approximately 10-15 minutes to delete an OnlineStore FeatureGroup
with the InMemory StorageType.
deleteFeatureGroupAsync in interface AmazonSageMakerAsyncpublic Future<DeleteFeatureGroupResult> deleteFeatureGroupAsync(DeleteFeatureGroupRequest request, AsyncHandler<DeleteFeatureGroupRequest,DeleteFeatureGroupResult> asyncHandler)
AmazonSageMakerAsync
Delete the FeatureGroup and any data that was written to the OnlineStore of the
FeatureGroup. Data cannot be accessed from the OnlineStore immediately after
DeleteFeatureGroup is called.
Data written into the OfflineStore will not be deleted. The Amazon Web Services Glue database and
tables that are automatically created for your OfflineStore are not deleted.
Note that it can take approximately 10-15 minutes to delete an OnlineStore FeatureGroup
with the InMemory StorageType.
deleteFeatureGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteFlowDefinitionResult> deleteFlowDefinitionAsync(DeleteFlowDefinitionRequest request)
AmazonSageMakerAsyncDeletes the specified flow definition.
deleteFlowDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteFlowDefinitionResult> deleteFlowDefinitionAsync(DeleteFlowDefinitionRequest request, AsyncHandler<DeleteFlowDefinitionRequest,DeleteFlowDefinitionResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified flow definition.
deleteFlowDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHubResult> deleteHubAsync(DeleteHubRequest request)
AmazonSageMakerAsyncDelete a hub.
deleteHubAsync in interface AmazonSageMakerAsyncpublic Future<DeleteHubResult> deleteHubAsync(DeleteHubRequest request, AsyncHandler<DeleteHubRequest,DeleteHubResult> asyncHandler)
AmazonSageMakerAsyncDelete a hub.
deleteHubAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHubContentResult> deleteHubContentAsync(DeleteHubContentRequest request)
AmazonSageMakerAsyncDelete the contents of a hub.
deleteHubContentAsync in interface AmazonSageMakerAsyncpublic Future<DeleteHubContentResult> deleteHubContentAsync(DeleteHubContentRequest request, AsyncHandler<DeleteHubContentRequest,DeleteHubContentResult> asyncHandler)
AmazonSageMakerAsyncDelete the contents of a hub.
deleteHubContentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHubContentReferenceResult> deleteHubContentReferenceAsync(DeleteHubContentReferenceRequest request)
AmazonSageMakerAsyncDelete a hub content reference in order to remove a model from a private hub.
deleteHubContentReferenceAsync in interface AmazonSageMakerAsyncpublic Future<DeleteHubContentReferenceResult> deleteHubContentReferenceAsync(DeleteHubContentReferenceRequest request, AsyncHandler<DeleteHubContentReferenceRequest,DeleteHubContentReferenceResult> asyncHandler)
AmazonSageMakerAsyncDelete a hub content reference in order to remove a model from a private hub.
deleteHubContentReferenceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHumanTaskUiResult> deleteHumanTaskUiAsync(DeleteHumanTaskUiRequest request)
AmazonSageMakerAsyncUse this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis.
When you delete a worker task template, it no longer appears when you call ListHumanTaskUis.
deleteHumanTaskUiAsync in interface AmazonSageMakerAsyncpublic Future<DeleteHumanTaskUiResult> deleteHumanTaskUiAsync(DeleteHumanTaskUiRequest request, AsyncHandler<DeleteHumanTaskUiRequest,DeleteHumanTaskUiResult> asyncHandler)
AmazonSageMakerAsyncUse this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis.
When you delete a worker task template, it no longer appears when you call ListHumanTaskUis.
deleteHumanTaskUiAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHyperParameterTuningJobResult> deleteHyperParameterTuningJobAsync(DeleteHyperParameterTuningJobRequest request)
AmazonSageMakerAsync
Deletes a hyperparameter tuning job. The DeleteHyperParameterTuningJob API deletes only the tuning
job entry that was created in SageMaker when you called the CreateHyperParameterTuningJob API. It
does not delete training jobs, artifacts, or the IAM role that you specified when creating the model.
deleteHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncpublic Future<DeleteHyperParameterTuningJobResult> deleteHyperParameterTuningJobAsync(DeleteHyperParameterTuningJobRequest request, AsyncHandler<DeleteHyperParameterTuningJobRequest,DeleteHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsync
Deletes a hyperparameter tuning job. The DeleteHyperParameterTuningJob API deletes only the tuning
job entry that was created in SageMaker when you called the CreateHyperParameterTuningJob API. It
does not delete training jobs, artifacts, or the IAM role that you specified when creating the model.
deleteHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteImageResult> deleteImageAsync(DeleteImageRequest request)
AmazonSageMakerAsyncDeletes a SageMaker image and all versions of the image. The container images aren't deleted.
deleteImageAsync in interface AmazonSageMakerAsyncpublic Future<DeleteImageResult> deleteImageAsync(DeleteImageRequest request, AsyncHandler<DeleteImageRequest,DeleteImageResult> asyncHandler)
AmazonSageMakerAsyncDeletes a SageMaker image and all versions of the image. The container images aren't deleted.
deleteImageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteImageVersionResult> deleteImageVersionAsync(DeleteImageVersionRequest request)
AmazonSageMakerAsyncDeletes a version of a SageMaker image. The container image the version represents isn't deleted.
deleteImageVersionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteImageVersionResult> deleteImageVersionAsync(DeleteImageVersionRequest request, AsyncHandler<DeleteImageVersionRequest,DeleteImageVersionResult> asyncHandler)
AmazonSageMakerAsyncDeletes a version of a SageMaker image. The container image the version represents isn't deleted.
deleteImageVersionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteInferenceComponentResult> deleteInferenceComponentAsync(DeleteInferenceComponentRequest request)
AmazonSageMakerAsyncDeletes an inference component.
deleteInferenceComponentAsync in interface AmazonSageMakerAsyncpublic Future<DeleteInferenceComponentResult> deleteInferenceComponentAsync(DeleteInferenceComponentRequest request, AsyncHandler<DeleteInferenceComponentRequest,DeleteInferenceComponentResult> asyncHandler)
AmazonSageMakerAsyncDeletes an inference component.
deleteInferenceComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteInferenceExperimentResult> deleteInferenceExperimentAsync(DeleteInferenceExperimentRequest request)
AmazonSageMakerAsyncDeletes an inference experiment.
This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.
deleteInferenceExperimentAsync in interface AmazonSageMakerAsyncpublic Future<DeleteInferenceExperimentResult> deleteInferenceExperimentAsync(DeleteInferenceExperimentRequest request, AsyncHandler<DeleteInferenceExperimentRequest,DeleteInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsyncDeletes an inference experiment.
This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.
deleteInferenceExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteMlflowTrackingServerResult> deleteMlflowTrackingServerAsync(DeleteMlflowTrackingServerRequest request)
AmazonSageMakerAsyncDeletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.
deleteMlflowTrackingServerAsync in interface AmazonSageMakerAsyncpublic Future<DeleteMlflowTrackingServerResult> deleteMlflowTrackingServerAsync(DeleteMlflowTrackingServerRequest request, AsyncHandler<DeleteMlflowTrackingServerRequest,DeleteMlflowTrackingServerResult> asyncHandler)
AmazonSageMakerAsyncDeletes an MLflow Tracking Server. For more information, see Clean up MLflow resources.
deleteMlflowTrackingServerAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest request)
AmazonSageMakerAsync
Deletes a model. The DeleteModel API deletes only the model entry that was created in SageMaker when
you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role
that you specified when creating the model.
deleteModelAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelResult> deleteModelAsync(DeleteModelRequest request, AsyncHandler<DeleteModelRequest,DeleteModelResult> asyncHandler)
AmazonSageMakerAsync
Deletes a model. The DeleteModel API deletes only the model entry that was created in SageMaker when
you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role
that you specified when creating the model.
deleteModelAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelBiasJobDefinitionResult> deleteModelBiasJobDefinitionAsync(DeleteModelBiasJobDefinitionRequest request)
AmazonSageMakerAsyncDeletes an Amazon SageMaker model bias job definition.
deleteModelBiasJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelBiasJobDefinitionResult> deleteModelBiasJobDefinitionAsync(DeleteModelBiasJobDefinitionRequest request, AsyncHandler<DeleteModelBiasJobDefinitionRequest,DeleteModelBiasJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncDeletes an Amazon SageMaker model bias job definition.
deleteModelBiasJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelCardResult> deleteModelCardAsync(DeleteModelCardRequest request)
AmazonSageMakerAsyncDeletes an Amazon SageMaker Model Card.
deleteModelCardAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelCardResult> deleteModelCardAsync(DeleteModelCardRequest request, AsyncHandler<DeleteModelCardRequest,DeleteModelCardResult> asyncHandler)
AmazonSageMakerAsyncDeletes an Amazon SageMaker Model Card.
deleteModelCardAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelExplainabilityJobDefinitionResult> deleteModelExplainabilityJobDefinitionAsync(DeleteModelExplainabilityJobDefinitionRequest request)
AmazonSageMakerAsyncDeletes an Amazon SageMaker model explainability job definition.
deleteModelExplainabilityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelExplainabilityJobDefinitionResult> deleteModelExplainabilityJobDefinitionAsync(DeleteModelExplainabilityJobDefinitionRequest request, AsyncHandler<DeleteModelExplainabilityJobDefinitionRequest,DeleteModelExplainabilityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncDeletes an Amazon SageMaker model explainability job definition.
deleteModelExplainabilityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelPackageResult> deleteModelPackageAsync(DeleteModelPackageRequest request)
AmazonSageMakerAsyncDeletes a model package.
A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
deleteModelPackageAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelPackageResult> deleteModelPackageAsync(DeleteModelPackageRequest request, AsyncHandler<DeleteModelPackageRequest,DeleteModelPackageResult> asyncHandler)
AmazonSageMakerAsyncDeletes a model package.
A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
deleteModelPackageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelPackageGroupResult> deleteModelPackageGroupAsync(DeleteModelPackageGroupRequest request)
AmazonSageMakerAsyncDeletes the specified model group.
deleteModelPackageGroupAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelPackageGroupResult> deleteModelPackageGroupAsync(DeleteModelPackageGroupRequest request, AsyncHandler<DeleteModelPackageGroupRequest,DeleteModelPackageGroupResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified model group.
deleteModelPackageGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelPackageGroupPolicyResult> deleteModelPackageGroupPolicyAsync(DeleteModelPackageGroupPolicyRequest request)
AmazonSageMakerAsyncDeletes a model group resource policy.
deleteModelPackageGroupPolicyAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelPackageGroupPolicyResult> deleteModelPackageGroupPolicyAsync(DeleteModelPackageGroupPolicyRequest request, AsyncHandler<DeleteModelPackageGroupPolicyRequest,DeleteModelPackageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsyncDeletes a model group resource policy.
deleteModelPackageGroupPolicyAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelQualityJobDefinitionResult> deleteModelQualityJobDefinitionAsync(DeleteModelQualityJobDefinitionRequest request)
AmazonSageMakerAsyncDeletes the secified model quality monitoring job definition.
deleteModelQualityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DeleteModelQualityJobDefinitionResult> deleteModelQualityJobDefinitionAsync(DeleteModelQualityJobDefinitionRequest request, AsyncHandler<DeleteModelQualityJobDefinitionRequest,DeleteModelQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncDeletes the secified model quality monitoring job definition.
deleteModelQualityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteMonitoringScheduleResult> deleteMonitoringScheduleAsync(DeleteMonitoringScheduleRequest request)
AmazonSageMakerAsyncDeletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
deleteMonitoringScheduleAsync in interface AmazonSageMakerAsyncpublic Future<DeleteMonitoringScheduleResult> deleteMonitoringScheduleAsync(DeleteMonitoringScheduleRequest request, AsyncHandler<DeleteMonitoringScheduleRequest,DeleteMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsyncDeletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
deleteMonitoringScheduleAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteNotebookInstanceResult> deleteNotebookInstanceAsync(DeleteNotebookInstanceRequest request)
AmazonSageMakerAsync
Deletes an SageMaker notebook instance. Before you can delete a notebook instance, you must call the
StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
deleteNotebookInstanceAsync in interface AmazonSageMakerAsyncpublic Future<DeleteNotebookInstanceResult> deleteNotebookInstanceAsync(DeleteNotebookInstanceRequest request, AsyncHandler<DeleteNotebookInstanceRequest,DeleteNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsync
Deletes an SageMaker notebook instance. Before you can delete a notebook instance, you must call the
StopNotebookInstance API.
When you delete a notebook instance, you lose all of your data. SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
deleteNotebookInstanceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteNotebookInstanceLifecycleConfigResult> deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsyncDeletes a notebook instance lifecycle configuration.
deleteNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<DeleteNotebookInstanceLifecycleConfigResult> deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request, AsyncHandler<DeleteNotebookInstanceLifecycleConfigRequest,DeleteNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncDeletes a notebook instance lifecycle configuration.
deleteNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteOptimizationJobResult> deleteOptimizationJobAsync(DeleteOptimizationJobRequest request)
AmazonSageMakerAsyncDeletes an optimization job.
deleteOptimizationJobAsync in interface AmazonSageMakerAsyncpublic Future<DeleteOptimizationJobResult> deleteOptimizationJobAsync(DeleteOptimizationJobRequest request, AsyncHandler<DeleteOptimizationJobRequest,DeleteOptimizationJobResult> asyncHandler)
AmazonSageMakerAsyncDeletes an optimization job.
deleteOptimizationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeletePipelineResult> deletePipelineAsync(DeletePipelineRequest request)
AmazonSageMakerAsync
Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all
running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline,
all instances of the pipeline are deleted.
deletePipelineAsync in interface AmazonSageMakerAsyncpublic Future<DeletePipelineResult> deletePipelineAsync(DeletePipelineRequest request, AsyncHandler<DeletePipelineRequest,DeletePipelineResult> asyncHandler)
AmazonSageMakerAsync
Deletes a pipeline if there are no running instances of the pipeline. To delete a pipeline, you must stop all
running instances of the pipeline using the StopPipelineExecution API. When you delete a pipeline,
all instances of the pipeline are deleted.
deletePipelineAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteProjectResult> deleteProjectAsync(DeleteProjectRequest request)
AmazonSageMakerAsyncDelete the specified project.
deleteProjectAsync in interface AmazonSageMakerAsyncpublic Future<DeleteProjectResult> deleteProjectAsync(DeleteProjectRequest request, AsyncHandler<DeleteProjectRequest,DeleteProjectResult> asyncHandler)
AmazonSageMakerAsyncDelete the specified project.
deleteProjectAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteSpaceResult> deleteSpaceAsync(DeleteSpaceRequest request)
AmazonSageMakerAsyncUsed to delete a space.
deleteSpaceAsync in interface AmazonSageMakerAsyncpublic Future<DeleteSpaceResult> deleteSpaceAsync(DeleteSpaceRequest request, AsyncHandler<DeleteSpaceRequest,DeleteSpaceResult> asyncHandler)
AmazonSageMakerAsyncUsed to delete a space.
deleteSpaceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteStudioLifecycleConfigResult> deleteStudioLifecycleConfigAsync(DeleteStudioLifecycleConfigRequest request)
AmazonSageMakerAsyncDeletes the Amazon SageMaker Studio Lifecycle Configuration. In order to delete the Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You must also remove the Lifecycle Configuration from UserSettings in all Domains and UserProfiles.
deleteStudioLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<DeleteStudioLifecycleConfigResult> deleteStudioLifecycleConfigAsync(DeleteStudioLifecycleConfigRequest request, AsyncHandler<DeleteStudioLifecycleConfigRequest,DeleteStudioLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncDeletes the Amazon SageMaker Studio Lifecycle Configuration. In order to delete the Lifecycle Configuration, there must be no running apps using the Lifecycle Configuration. You must also remove the Lifecycle Configuration from UserSettings in all Domains and UserProfiles.
deleteStudioLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTagsResult> deleteTagsAsync(DeleteTagsRequest request)
AmazonSageMakerAsyncDeletes the specified tags from an SageMaker resource.
To list a resource's tags, use the ListTags API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
When you call this API to delete tags from a SageMaker Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Domain or User Profile launched before you called this API.
deleteTagsAsync in interface AmazonSageMakerAsyncpublic Future<DeleteTagsResult> deleteTagsAsync(DeleteTagsRequest request, AsyncHandler<DeleteTagsRequest,DeleteTagsResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified tags from an SageMaker resource.
To list a resource's tags, use the ListTags API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
When you call this API to delete tags from a SageMaker Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Domain or User Profile launched before you called this API.
deleteTagsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTrialResult> deleteTrialAsync(DeleteTrialRequest request)
AmazonSageMakerAsyncDeletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
deleteTrialAsync in interface AmazonSageMakerAsyncpublic Future<DeleteTrialResult> deleteTrialAsync(DeleteTrialRequest request, AsyncHandler<DeleteTrialRequest,DeleteTrialResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
deleteTrialAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTrialComponentResult> deleteTrialComponentAsync(DeleteTrialComponentRequest request)
AmazonSageMakerAsyncDeletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
deleteTrialComponentAsync in interface AmazonSageMakerAsyncpublic Future<DeleteTrialComponentResult> deleteTrialComponentAsync(DeleteTrialComponentRequest request, AsyncHandler<DeleteTrialComponentRequest,DeleteTrialComponentResult> asyncHandler)
AmazonSageMakerAsyncDeletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
deleteTrialComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteUserProfileResult> deleteUserProfileAsync(DeleteUserProfileRequest request)
AmazonSageMakerAsyncDeletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
deleteUserProfileAsync in interface AmazonSageMakerAsyncpublic Future<DeleteUserProfileResult> deleteUserProfileAsync(DeleteUserProfileRequest request, AsyncHandler<DeleteUserProfileRequest,DeleteUserProfileResult> asyncHandler)
AmazonSageMakerAsyncDeletes a user profile. When a user profile is deleted, the user loses access to their EFS volume, including data, notebooks, and other artifacts.
deleteUserProfileAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteWorkforceResult> deleteWorkforceAsync(DeleteWorkforceRequest request)
AmazonSageMakerAsyncUse this operation to delete a workforce.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
If a private workforce contains one or more work teams, you must use the DeleteWorkteam
operation to delete all work teams before you delete the workforce. If you try to delete a workforce that
contains one or more work teams, you will receive a ResourceInUse error.
deleteWorkforceAsync in interface AmazonSageMakerAsyncpublic Future<DeleteWorkforceResult> deleteWorkforceAsync(DeleteWorkforceRequest request, AsyncHandler<DeleteWorkforceRequest,DeleteWorkforceResult> asyncHandler)
AmazonSageMakerAsyncUse this operation to delete a workforce.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
If a private workforce contains one or more work teams, you must use the DeleteWorkteam
operation to delete all work teams before you delete the workforce. If you try to delete a workforce that
contains one or more work teams, you will receive a ResourceInUse error.
deleteWorkforceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteWorkteamResult> deleteWorkteamAsync(DeleteWorkteamRequest request)
AmazonSageMakerAsyncDeletes an existing work team. This operation can't be undone.
deleteWorkteamAsync in interface AmazonSageMakerAsyncpublic Future<DeleteWorkteamResult> deleteWorkteamAsync(DeleteWorkteamRequest request, AsyncHandler<DeleteWorkteamRequest,DeleteWorkteamResult> asyncHandler)
AmazonSageMakerAsyncDeletes an existing work team. This operation can't be undone.
deleteWorkteamAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeregisterDevicesResult> deregisterDevicesAsync(DeregisterDevicesRequest request)
AmazonSageMakerAsyncDeregisters the specified devices. After you deregister a device, you will need to re-register the devices.
deregisterDevicesAsync in interface AmazonSageMakerAsyncpublic Future<DeregisterDevicesResult> deregisterDevicesAsync(DeregisterDevicesRequest request, AsyncHandler<DeregisterDevicesRequest,DeregisterDevicesResult> asyncHandler)
AmazonSageMakerAsyncDeregisters the specified devices. After you deregister a device, you will need to re-register the devices.
deregisterDevicesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeActionResult> describeActionAsync(DescribeActionRequest request)
AmazonSageMakerAsyncDescribes an action.
describeActionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeActionResult> describeActionAsync(DescribeActionRequest request, AsyncHandler<DescribeActionRequest,DescribeActionResult> asyncHandler)
AmazonSageMakerAsyncDescribes an action.
describeActionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request)
AmazonSageMakerAsyncReturns a description of the specified algorithm that is in your account.
describeAlgorithmAsync in interface AmazonSageMakerAsyncpublic Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request, AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of the specified algorithm that is in your account.
describeAlgorithmAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAppResult> describeAppAsync(DescribeAppRequest request)
AmazonSageMakerAsyncDescribes the app.
describeAppAsync in interface AmazonSageMakerAsyncpublic Future<DescribeAppResult> describeAppAsync(DescribeAppRequest request, AsyncHandler<DescribeAppRequest,DescribeAppResult> asyncHandler)
AmazonSageMakerAsyncDescribes the app.
describeAppAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAppImageConfigResult> describeAppImageConfigAsync(DescribeAppImageConfigRequest request)
AmazonSageMakerAsyncDescribes an AppImageConfig.
describeAppImageConfigAsync in interface AmazonSageMakerAsyncpublic Future<DescribeAppImageConfigResult> describeAppImageConfigAsync(DescribeAppImageConfigRequest request, AsyncHandler<DescribeAppImageConfigRequest,DescribeAppImageConfigResult> asyncHandler)
AmazonSageMakerAsyncDescribes an AppImageConfig.
describeAppImageConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeArtifactResult> describeArtifactAsync(DescribeArtifactRequest request)
AmazonSageMakerAsyncDescribes an artifact.
describeArtifactAsync in interface AmazonSageMakerAsyncpublic Future<DescribeArtifactResult> describeArtifactAsync(DescribeArtifactRequest request, AsyncHandler<DescribeArtifactRequest,DescribeArtifactResult> asyncHandler)
AmazonSageMakerAsyncDescribes an artifact.
describeArtifactAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAutoMLJobResult> describeAutoMLJobAsync(DescribeAutoMLJobRequest request)
AmazonSageMakerAsyncReturns information about an AutoML job created by calling CreateAutoMLJob.
AutoML jobs created by calling CreateAutoMLJobV2
cannot be described by DescribeAutoMLJob.
describeAutoMLJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeAutoMLJobResult> describeAutoMLJobAsync(DescribeAutoMLJobRequest request, AsyncHandler<DescribeAutoMLJobRequest,DescribeAutoMLJobResult> asyncHandler)
AmazonSageMakerAsyncReturns information about an AutoML job created by calling CreateAutoMLJob.
AutoML jobs created by calling CreateAutoMLJobV2
cannot be described by DescribeAutoMLJob.
describeAutoMLJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAutoMLJobV2Result> describeAutoMLJobV2Async(DescribeAutoMLJobV2Request request)
AmazonSageMakerAsyncReturns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
describeAutoMLJobV2Async in interface AmazonSageMakerAsyncpublic Future<DescribeAutoMLJobV2Result> describeAutoMLJobV2Async(DescribeAutoMLJobV2Request request, AsyncHandler<DescribeAutoMLJobV2Request,DescribeAutoMLJobV2Result> asyncHandler)
AmazonSageMakerAsyncReturns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
describeAutoMLJobV2Async in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest request)
AmazonSageMakerAsyncRetrieves information of a SageMaker HyperPod cluster.
describeClusterAsync in interface AmazonSageMakerAsyncpublic Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest request, AsyncHandler<DescribeClusterRequest,DescribeClusterResult> asyncHandler)
AmazonSageMakerAsyncRetrieves information of a SageMaker HyperPod cluster.
describeClusterAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeClusterNodeResult> describeClusterNodeAsync(DescribeClusterNodeRequest request)
AmazonSageMakerAsyncRetrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
describeClusterNodeAsync in interface AmazonSageMakerAsyncpublic Future<DescribeClusterNodeResult> describeClusterNodeAsync(DescribeClusterNodeRequest request, AsyncHandler<DescribeClusterNodeRequest,DescribeClusterNodeResult> asyncHandler)
AmazonSageMakerAsyncRetrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
describeClusterNodeAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeCodeRepositoryResult> describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request)
AmazonSageMakerAsyncGets details about the specified Git repository.
describeCodeRepositoryAsync in interface AmazonSageMakerAsyncpublic Future<DescribeCodeRepositoryResult> describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request, AsyncHandler<DescribeCodeRepositoryRequest,DescribeCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsyncGets details about the specified Git repository.
describeCodeRepositoryAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeCompilationJobResult> describeCompilationJobAsync(DescribeCompilationJobRequest request)
AmazonSageMakerAsyncReturns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
describeCompilationJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeCompilationJobResult> describeCompilationJobAsync(DescribeCompilationJobRequest request, AsyncHandler<DescribeCompilationJobRequest,DescribeCompilationJobResult> asyncHandler)
AmazonSageMakerAsyncReturns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
describeCompilationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeContextResult> describeContextAsync(DescribeContextRequest request)
AmazonSageMakerAsyncDescribes a context.
describeContextAsync in interface AmazonSageMakerAsyncpublic Future<DescribeContextResult> describeContextAsync(DescribeContextRequest request, AsyncHandler<DescribeContextRequest,DescribeContextResult> asyncHandler)
AmazonSageMakerAsyncDescribes a context.
describeContextAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDataQualityJobDefinitionResult> describeDataQualityJobDefinitionAsync(DescribeDataQualityJobDefinitionRequest request)
AmazonSageMakerAsyncGets the details of a data quality monitoring job definition.
describeDataQualityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeDataQualityJobDefinitionResult> describeDataQualityJobDefinitionAsync(DescribeDataQualityJobDefinitionRequest request, AsyncHandler<DescribeDataQualityJobDefinitionRequest,DescribeDataQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncGets the details of a data quality monitoring job definition.
describeDataQualityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDeviceResult> describeDeviceAsync(DescribeDeviceRequest request)
AmazonSageMakerAsyncDescribes the device.
describeDeviceAsync in interface AmazonSageMakerAsyncpublic Future<DescribeDeviceResult> describeDeviceAsync(DescribeDeviceRequest request, AsyncHandler<DescribeDeviceRequest,DescribeDeviceResult> asyncHandler)
AmazonSageMakerAsyncDescribes the device.
describeDeviceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDeviceFleetResult> describeDeviceFleetAsync(DescribeDeviceFleetRequest request)
AmazonSageMakerAsyncA description of the fleet the device belongs to.
describeDeviceFleetAsync in interface AmazonSageMakerAsyncpublic Future<DescribeDeviceFleetResult> describeDeviceFleetAsync(DescribeDeviceFleetRequest request, AsyncHandler<DescribeDeviceFleetRequest,DescribeDeviceFleetResult> asyncHandler)
AmazonSageMakerAsyncA description of the fleet the device belongs to.
describeDeviceFleetAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDomainResult> describeDomainAsync(DescribeDomainRequest request)
AmazonSageMakerAsyncThe description of the domain.
describeDomainAsync in interface AmazonSageMakerAsyncpublic Future<DescribeDomainResult> describeDomainAsync(DescribeDomainRequest request, AsyncHandler<DescribeDomainRequest,DescribeDomainResult> asyncHandler)
AmazonSageMakerAsyncThe description of the domain.
describeDomainAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEdgeDeploymentPlanResult> describeEdgeDeploymentPlanAsync(DescribeEdgeDeploymentPlanRequest request)
AmazonSageMakerAsyncDescribes an edge deployment plan with deployment status per stage.
describeEdgeDeploymentPlanAsync in interface AmazonSageMakerAsyncpublic Future<DescribeEdgeDeploymentPlanResult> describeEdgeDeploymentPlanAsync(DescribeEdgeDeploymentPlanRequest request, AsyncHandler<DescribeEdgeDeploymentPlanRequest,DescribeEdgeDeploymentPlanResult> asyncHandler)
AmazonSageMakerAsyncDescribes an edge deployment plan with deployment status per stage.
describeEdgeDeploymentPlanAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEdgePackagingJobResult> describeEdgePackagingJobAsync(DescribeEdgePackagingJobRequest request)
AmazonSageMakerAsyncA description of edge packaging jobs.
describeEdgePackagingJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeEdgePackagingJobResult> describeEdgePackagingJobAsync(DescribeEdgePackagingJobRequest request, AsyncHandler<DescribeEdgePackagingJobRequest,DescribeEdgePackagingJobResult> asyncHandler)
AmazonSageMakerAsyncA description of edge packaging jobs.
describeEdgePackagingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEndpointResult> describeEndpointAsync(DescribeEndpointRequest request)
AmazonSageMakerAsyncReturns the description of an endpoint.
describeEndpointAsync in interface AmazonSageMakerAsyncpublic Future<DescribeEndpointResult> describeEndpointAsync(DescribeEndpointRequest request, AsyncHandler<DescribeEndpointRequest,DescribeEndpointResult> asyncHandler)
AmazonSageMakerAsyncReturns the description of an endpoint.
describeEndpointAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEndpointConfigResult> describeEndpointConfigAsync(DescribeEndpointConfigRequest request)
AmazonSageMakerAsync
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
describeEndpointConfigAsync in interface AmazonSageMakerAsyncpublic Future<DescribeEndpointConfigResult> describeEndpointConfigAsync(DescribeEndpointConfigRequest request, AsyncHandler<DescribeEndpointConfigRequest,DescribeEndpointConfigResult> asyncHandler)
AmazonSageMakerAsync
Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
describeEndpointConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeExperimentResult> describeExperimentAsync(DescribeExperimentRequest request)
AmazonSageMakerAsyncProvides a list of an experiment's properties.
describeExperimentAsync in interface AmazonSageMakerAsyncpublic Future<DescribeExperimentResult> describeExperimentAsync(DescribeExperimentRequest request, AsyncHandler<DescribeExperimentRequest,DescribeExperimentResult> asyncHandler)
AmazonSageMakerAsyncProvides a list of an experiment's properties.
describeExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeFeatureGroupResult> describeFeatureGroupAsync(DescribeFeatureGroupRequest request)
AmazonSageMakerAsync
Use this operation to describe a FeatureGroup. The response includes information on the creation
time, FeatureGroup name, the unique identifier for each FeatureGroup, and more.
describeFeatureGroupAsync in interface AmazonSageMakerAsyncpublic Future<DescribeFeatureGroupResult> describeFeatureGroupAsync(DescribeFeatureGroupRequest request, AsyncHandler<DescribeFeatureGroupRequest,DescribeFeatureGroupResult> asyncHandler)
AmazonSageMakerAsync
Use this operation to describe a FeatureGroup. The response includes information on the creation
time, FeatureGroup name, the unique identifier for each FeatureGroup, and more.
describeFeatureGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeFeatureMetadataResult> describeFeatureMetadataAsync(DescribeFeatureMetadataRequest request)
AmazonSageMakerAsyncShows the metadata for a feature within a feature group.
describeFeatureMetadataAsync in interface AmazonSageMakerAsyncpublic Future<DescribeFeatureMetadataResult> describeFeatureMetadataAsync(DescribeFeatureMetadataRequest request, AsyncHandler<DescribeFeatureMetadataRequest,DescribeFeatureMetadataResult> asyncHandler)
AmazonSageMakerAsyncShows the metadata for a feature within a feature group.
describeFeatureMetadataAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeFlowDefinitionResult> describeFlowDefinitionAsync(DescribeFlowDefinitionRequest request)
AmazonSageMakerAsyncReturns information about the specified flow definition.
describeFlowDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeFlowDefinitionResult> describeFlowDefinitionAsync(DescribeFlowDefinitionRequest request, AsyncHandler<DescribeFlowDefinitionRequest,DescribeFlowDefinitionResult> asyncHandler)
AmazonSageMakerAsyncReturns information about the specified flow definition.
describeFlowDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHubResult> describeHubAsync(DescribeHubRequest request)
AmazonSageMakerAsyncDescribes a hub.
describeHubAsync in interface AmazonSageMakerAsyncpublic Future<DescribeHubResult> describeHubAsync(DescribeHubRequest request, AsyncHandler<DescribeHubRequest,DescribeHubResult> asyncHandler)
AmazonSageMakerAsyncDescribes a hub.
describeHubAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHubContentResult> describeHubContentAsync(DescribeHubContentRequest request)
AmazonSageMakerAsyncDescribe the content of a hub.
describeHubContentAsync in interface AmazonSageMakerAsyncpublic Future<DescribeHubContentResult> describeHubContentAsync(DescribeHubContentRequest request, AsyncHandler<DescribeHubContentRequest,DescribeHubContentResult> asyncHandler)
AmazonSageMakerAsyncDescribe the content of a hub.
describeHubContentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHumanTaskUiResult> describeHumanTaskUiAsync(DescribeHumanTaskUiRequest request)
AmazonSageMakerAsyncReturns information about the requested human task user interface (worker task template).
describeHumanTaskUiAsync in interface AmazonSageMakerAsyncpublic Future<DescribeHumanTaskUiResult> describeHumanTaskUiAsync(DescribeHumanTaskUiRequest request, AsyncHandler<DescribeHumanTaskUiRequest,DescribeHumanTaskUiResult> asyncHandler)
AmazonSageMakerAsyncReturns information about the requested human task user interface (worker task template).
describeHumanTaskUiAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHyperParameterTuningJobResult> describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request)
AmazonSageMakerAsyncReturns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.
describeHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeHyperParameterTuningJobResult> describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.
describeHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeImageResult> describeImageAsync(DescribeImageRequest request)
AmazonSageMakerAsyncDescribes a SageMaker image.
describeImageAsync in interface AmazonSageMakerAsyncpublic Future<DescribeImageResult> describeImageAsync(DescribeImageRequest request, AsyncHandler<DescribeImageRequest,DescribeImageResult> asyncHandler)
AmazonSageMakerAsyncDescribes a SageMaker image.
describeImageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeImageVersionResult> describeImageVersionAsync(DescribeImageVersionRequest request)
AmazonSageMakerAsyncDescribes a version of a SageMaker image.
describeImageVersionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeImageVersionResult> describeImageVersionAsync(DescribeImageVersionRequest request, AsyncHandler<DescribeImageVersionRequest,DescribeImageVersionResult> asyncHandler)
AmazonSageMakerAsyncDescribes a version of a SageMaker image.
describeImageVersionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeInferenceComponentResult> describeInferenceComponentAsync(DescribeInferenceComponentRequest request)
AmazonSageMakerAsyncReturns information about an inference component.
describeInferenceComponentAsync in interface AmazonSageMakerAsyncpublic Future<DescribeInferenceComponentResult> describeInferenceComponentAsync(DescribeInferenceComponentRequest request, AsyncHandler<DescribeInferenceComponentRequest,DescribeInferenceComponentResult> asyncHandler)
AmazonSageMakerAsyncReturns information about an inference component.
describeInferenceComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeInferenceExperimentResult> describeInferenceExperimentAsync(DescribeInferenceExperimentRequest request)
AmazonSageMakerAsyncReturns details about an inference experiment.
describeInferenceExperimentAsync in interface AmazonSageMakerAsyncpublic Future<DescribeInferenceExperimentResult> describeInferenceExperimentAsync(DescribeInferenceExperimentRequest request, AsyncHandler<DescribeInferenceExperimentRequest,DescribeInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsyncReturns details about an inference experiment.
describeInferenceExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeInferenceRecommendationsJobResult> describeInferenceRecommendationsJobAsync(DescribeInferenceRecommendationsJobRequest request)
AmazonSageMakerAsyncProvides the results of the Inference Recommender job. One or more recommendation jobs are returned.
describeInferenceRecommendationsJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeInferenceRecommendationsJobResult> describeInferenceRecommendationsJobAsync(DescribeInferenceRecommendationsJobRequest request, AsyncHandler<DescribeInferenceRecommendationsJobRequest,DescribeInferenceRecommendationsJobResult> asyncHandler)
AmazonSageMakerAsyncProvides the results of the Inference Recommender job. One or more recommendation jobs are returned.
describeInferenceRecommendationsJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeLabelingJobResult> describeLabelingJobAsync(DescribeLabelingJobRequest request)
AmazonSageMakerAsyncGets information about a labeling job.
describeLabelingJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeLabelingJobResult> describeLabelingJobAsync(DescribeLabelingJobRequest request, AsyncHandler<DescribeLabelingJobRequest,DescribeLabelingJobResult> asyncHandler)
AmazonSageMakerAsyncGets information about a labeling job.
describeLabelingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeLineageGroupResult> describeLineageGroupAsync(DescribeLineageGroupRequest request)
AmazonSageMakerAsyncProvides a list of properties for the requested lineage group. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
describeLineageGroupAsync in interface AmazonSageMakerAsyncpublic Future<DescribeLineageGroupResult> describeLineageGroupAsync(DescribeLineageGroupRequest request, AsyncHandler<DescribeLineageGroupRequest,DescribeLineageGroupResult> asyncHandler)
AmazonSageMakerAsyncProvides a list of properties for the requested lineage group. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
describeLineageGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeMlflowTrackingServerResult> describeMlflowTrackingServerAsync(DescribeMlflowTrackingServerRequest request)
AmazonSageMakerAsyncReturns information about an MLflow Tracking Server.
describeMlflowTrackingServerAsync in interface AmazonSageMakerAsyncpublic Future<DescribeMlflowTrackingServerResult> describeMlflowTrackingServerAsync(DescribeMlflowTrackingServerRequest request, AsyncHandler<DescribeMlflowTrackingServerRequest,DescribeMlflowTrackingServerResult> asyncHandler)
AmazonSageMakerAsyncReturns information about an MLflow Tracking Server.
describeMlflowTrackingServerAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request)
AmazonSageMakerAsync
Describes a model that you created using the CreateModel API.
describeModelAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
AmazonSageMakerAsync
Describes a model that you created using the CreateModel API.
describeModelAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelBiasJobDefinitionResult> describeModelBiasJobDefinitionAsync(DescribeModelBiasJobDefinitionRequest request)
AmazonSageMakerAsyncReturns a description of a model bias job definition.
describeModelBiasJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelBiasJobDefinitionResult> describeModelBiasJobDefinitionAsync(DescribeModelBiasJobDefinitionRequest request, AsyncHandler<DescribeModelBiasJobDefinitionRequest,DescribeModelBiasJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of a model bias job definition.
describeModelBiasJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelCardResult> describeModelCardAsync(DescribeModelCardRequest request)
AmazonSageMakerAsyncDescribes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
describeModelCardAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelCardResult> describeModelCardAsync(DescribeModelCardRequest request, AsyncHandler<DescribeModelCardRequest,DescribeModelCardResult> asyncHandler)
AmazonSageMakerAsyncDescribes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
describeModelCardAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelCardExportJobResult> describeModelCardExportJobAsync(DescribeModelCardExportJobRequest request)
AmazonSageMakerAsyncDescribes an Amazon SageMaker Model Card export job.
describeModelCardExportJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelCardExportJobResult> describeModelCardExportJobAsync(DescribeModelCardExportJobRequest request, AsyncHandler<DescribeModelCardExportJobRequest,DescribeModelCardExportJobResult> asyncHandler)
AmazonSageMakerAsyncDescribes an Amazon SageMaker Model Card export job.
describeModelCardExportJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelExplainabilityJobDefinitionResult> describeModelExplainabilityJobDefinitionAsync(DescribeModelExplainabilityJobDefinitionRequest request)
AmazonSageMakerAsyncReturns a description of a model explainability job definition.
describeModelExplainabilityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelExplainabilityJobDefinitionResult> describeModelExplainabilityJobDefinitionAsync(DescribeModelExplainabilityJobDefinitionRequest request, AsyncHandler<DescribeModelExplainabilityJobDefinitionRequest,DescribeModelExplainabilityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of a model explainability job definition.
describeModelExplainabilityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelPackageResult> describeModelPackageAsync(DescribeModelPackageRequest request)
AmazonSageMakerAsyncReturns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
If you provided a KMS Key ID when you created your model package, you will see the KMS Decrypt API call in your CloudTrail logs when you use this API.
To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.
describeModelPackageAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelPackageResult> describeModelPackageAsync(DescribeModelPackageRequest request, AsyncHandler<DescribeModelPackageRequest,DescribeModelPackageResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
If you provided a KMS Key ID when you created your model package, you will see the KMS Decrypt API call in your CloudTrail logs when you use this API.
To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.
describeModelPackageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelPackageGroupResult> describeModelPackageGroupAsync(DescribeModelPackageGroupRequest request)
AmazonSageMakerAsyncGets a description for the specified model group.
describeModelPackageGroupAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelPackageGroupResult> describeModelPackageGroupAsync(DescribeModelPackageGroupRequest request, AsyncHandler<DescribeModelPackageGroupRequest,DescribeModelPackageGroupResult> asyncHandler)
AmazonSageMakerAsyncGets a description for the specified model group.
describeModelPackageGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelQualityJobDefinitionResult> describeModelQualityJobDefinitionAsync(DescribeModelQualityJobDefinitionRequest request)
AmazonSageMakerAsyncReturns a description of a model quality job definition.
describeModelQualityJobDefinitionAsync in interface AmazonSageMakerAsyncpublic Future<DescribeModelQualityJobDefinitionResult> describeModelQualityJobDefinitionAsync(DescribeModelQualityJobDefinitionRequest request, AsyncHandler<DescribeModelQualityJobDefinitionRequest,DescribeModelQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of a model quality job definition.
describeModelQualityJobDefinitionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeMonitoringScheduleResult> describeMonitoringScheduleAsync(DescribeMonitoringScheduleRequest request)
AmazonSageMakerAsyncDescribes the schedule for a monitoring job.
describeMonitoringScheduleAsync in interface AmazonSageMakerAsyncpublic Future<DescribeMonitoringScheduleResult> describeMonitoringScheduleAsync(DescribeMonitoringScheduleRequest request, AsyncHandler<DescribeMonitoringScheduleRequest,DescribeMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsyncDescribes the schedule for a monitoring job.
describeMonitoringScheduleAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeNotebookInstanceResult> describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request)
AmazonSageMakerAsyncReturns information about a notebook instance.
describeNotebookInstanceAsync in interface AmazonSageMakerAsyncpublic Future<DescribeNotebookInstanceResult> describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request, AsyncHandler<DescribeNotebookInstanceRequest,DescribeNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsyncReturns information about a notebook instance.
describeNotebookInstanceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeNotebookInstanceLifecycleConfigResult> describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsyncReturns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
describeNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<DescribeNotebookInstanceLifecycleConfigResult> describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request, AsyncHandler<DescribeNotebookInstanceLifecycleConfigRequest,DescribeNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
describeNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeOptimizationJobResult> describeOptimizationJobAsync(DescribeOptimizationJobRequest request)
AmazonSageMakerAsyncProvides the properties of the specified optimization job.
describeOptimizationJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeOptimizationJobResult> describeOptimizationJobAsync(DescribeOptimizationJobRequest request, AsyncHandler<DescribeOptimizationJobRequest,DescribeOptimizationJobResult> asyncHandler)
AmazonSageMakerAsyncProvides the properties of the specified optimization job.
describeOptimizationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePipelineResult> describePipelineAsync(DescribePipelineRequest request)
AmazonSageMakerAsyncDescribes the details of a pipeline.
describePipelineAsync in interface AmazonSageMakerAsyncpublic Future<DescribePipelineResult> describePipelineAsync(DescribePipelineRequest request, AsyncHandler<DescribePipelineRequest,DescribePipelineResult> asyncHandler)
AmazonSageMakerAsyncDescribes the details of a pipeline.
describePipelineAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePipelineDefinitionForExecutionResult> describePipelineDefinitionForExecutionAsync(DescribePipelineDefinitionForExecutionRequest request)
AmazonSageMakerAsyncDescribes the details of an execution's pipeline definition.
describePipelineDefinitionForExecutionAsync in interface AmazonSageMakerAsyncpublic Future<DescribePipelineDefinitionForExecutionResult> describePipelineDefinitionForExecutionAsync(DescribePipelineDefinitionForExecutionRequest request, AsyncHandler<DescribePipelineDefinitionForExecutionRequest,DescribePipelineDefinitionForExecutionResult> asyncHandler)
AmazonSageMakerAsyncDescribes the details of an execution's pipeline definition.
describePipelineDefinitionForExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePipelineExecutionResult> describePipelineExecutionAsync(DescribePipelineExecutionRequest request)
AmazonSageMakerAsyncDescribes the details of a pipeline execution.
describePipelineExecutionAsync in interface AmazonSageMakerAsyncpublic Future<DescribePipelineExecutionResult> describePipelineExecutionAsync(DescribePipelineExecutionRequest request, AsyncHandler<DescribePipelineExecutionRequest,DescribePipelineExecutionResult> asyncHandler)
AmazonSageMakerAsyncDescribes the details of a pipeline execution.
describePipelineExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeProcessingJobResult> describeProcessingJobAsync(DescribeProcessingJobRequest request)
AmazonSageMakerAsyncReturns a description of a processing job.
describeProcessingJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeProcessingJobResult> describeProcessingJobAsync(DescribeProcessingJobRequest request, AsyncHandler<DescribeProcessingJobRequest,DescribeProcessingJobResult> asyncHandler)
AmazonSageMakerAsyncReturns a description of a processing job.
describeProcessingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeProjectResult> describeProjectAsync(DescribeProjectRequest request)
AmazonSageMakerAsyncDescribes the details of a project.
describeProjectAsync in interface AmazonSageMakerAsyncpublic Future<DescribeProjectResult> describeProjectAsync(DescribeProjectRequest request, AsyncHandler<DescribeProjectRequest,DescribeProjectResult> asyncHandler)
AmazonSageMakerAsyncDescribes the details of a project.
describeProjectAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeSpaceResult> describeSpaceAsync(DescribeSpaceRequest request)
AmazonSageMakerAsyncDescribes the space.
describeSpaceAsync in interface AmazonSageMakerAsyncpublic Future<DescribeSpaceResult> describeSpaceAsync(DescribeSpaceRequest request, AsyncHandler<DescribeSpaceRequest,DescribeSpaceResult> asyncHandler)
AmazonSageMakerAsyncDescribes the space.
describeSpaceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeStudioLifecycleConfigResult> describeStudioLifecycleConfigAsync(DescribeStudioLifecycleConfigRequest request)
AmazonSageMakerAsyncDescribes the Amazon SageMaker Studio Lifecycle Configuration.
describeStudioLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<DescribeStudioLifecycleConfigResult> describeStudioLifecycleConfigAsync(DescribeStudioLifecycleConfigRequest request, AsyncHandler<DescribeStudioLifecycleConfigRequest,DescribeStudioLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncDescribes the Amazon SageMaker Studio Lifecycle Configuration.
describeStudioLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeSubscribedWorkteamResult> describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request)
AmazonSageMakerAsyncGets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.
describeSubscribedWorkteamAsync in interface AmazonSageMakerAsyncpublic Future<DescribeSubscribedWorkteamResult> describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request, AsyncHandler<DescribeSubscribedWorkteamRequest,DescribeSubscribedWorkteamResult> asyncHandler)
AmazonSageMakerAsyncGets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.
describeSubscribedWorkteamAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTrainingJobResult> describeTrainingJobAsync(DescribeTrainingJobRequest request)
AmazonSageMakerAsyncReturns information about a training job.
Some of the attributes below only appear if the training job successfully starts. If the training job fails,
TrainingJobStatus is Failed and, depending on the FailureReason,
attributes like TrainingStartTime, TrainingTimeInSeconds, TrainingEndTime,
and BillableTimeInSeconds may not be present in the response.
describeTrainingJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeTrainingJobResult> describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
AmazonSageMakerAsyncReturns information about a training job.
Some of the attributes below only appear if the training job successfully starts. If the training job fails,
TrainingJobStatus is Failed and, depending on the FailureReason,
attributes like TrainingStartTime, TrainingTimeInSeconds, TrainingEndTime,
and BillableTimeInSeconds may not be present in the response.
describeTrainingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTransformJobResult> describeTransformJobAsync(DescribeTransformJobRequest request)
AmazonSageMakerAsyncReturns information about a transform job.
describeTransformJobAsync in interface AmazonSageMakerAsyncpublic Future<DescribeTransformJobResult> describeTransformJobAsync(DescribeTransformJobRequest request, AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler)
AmazonSageMakerAsyncReturns information about a transform job.
describeTransformJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTrialResult> describeTrialAsync(DescribeTrialRequest request)
AmazonSageMakerAsyncProvides a list of a trial's properties.
describeTrialAsync in interface AmazonSageMakerAsyncpublic Future<DescribeTrialResult> describeTrialAsync(DescribeTrialRequest request, AsyncHandler<DescribeTrialRequest,DescribeTrialResult> asyncHandler)
AmazonSageMakerAsyncProvides a list of a trial's properties.
describeTrialAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTrialComponentResult> describeTrialComponentAsync(DescribeTrialComponentRequest request)
AmazonSageMakerAsyncProvides a list of a trials component's properties.
describeTrialComponentAsync in interface AmazonSageMakerAsyncpublic Future<DescribeTrialComponentResult> describeTrialComponentAsync(DescribeTrialComponentRequest request, AsyncHandler<DescribeTrialComponentRequest,DescribeTrialComponentResult> asyncHandler)
AmazonSageMakerAsyncProvides a list of a trials component's properties.
describeTrialComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeUserProfileResult> describeUserProfileAsync(DescribeUserProfileRequest request)
AmazonSageMakerAsync
Describes a user profile. For more information, see CreateUserProfile.
describeUserProfileAsync in interface AmazonSageMakerAsyncpublic Future<DescribeUserProfileResult> describeUserProfileAsync(DescribeUserProfileRequest request, AsyncHandler<DescribeUserProfileRequest,DescribeUserProfileResult> asyncHandler)
AmazonSageMakerAsync
Describes a user profile. For more information, see CreateUserProfile.
describeUserProfileAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeWorkforceResult> describeWorkforceAsync(DescribeWorkforceRequest request)
AmazonSageMakerAsyncLists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
describeWorkforceAsync in interface AmazonSageMakerAsyncpublic Future<DescribeWorkforceResult> describeWorkforceAsync(DescribeWorkforceRequest request, AsyncHandler<DescribeWorkforceRequest,DescribeWorkforceResult> asyncHandler)
AmazonSageMakerAsyncLists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
describeWorkforceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeWorkteamResult> describeWorkteamAsync(DescribeWorkteamRequest request)
AmazonSageMakerAsyncGets information about a specific work team. You can see information such as the creation date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
describeWorkteamAsync in interface AmazonSageMakerAsyncpublic Future<DescribeWorkteamResult> describeWorkteamAsync(DescribeWorkteamRequest request, AsyncHandler<DescribeWorkteamRequest,DescribeWorkteamResult> asyncHandler)
AmazonSageMakerAsyncGets information about a specific work team. You can see information such as the creation date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
describeWorkteamAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DisableSagemakerServicecatalogPortfolioResult> disableSagemakerServicecatalogPortfolioAsync(DisableSagemakerServicecatalogPortfolioRequest request)
AmazonSageMakerAsyncDisables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
disableSagemakerServicecatalogPortfolioAsync in interface AmazonSageMakerAsyncpublic Future<DisableSagemakerServicecatalogPortfolioResult> disableSagemakerServicecatalogPortfolioAsync(DisableSagemakerServicecatalogPortfolioRequest request, AsyncHandler<DisableSagemakerServicecatalogPortfolioRequest,DisableSagemakerServicecatalogPortfolioResult> asyncHandler)
AmazonSageMakerAsyncDisables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
disableSagemakerServicecatalogPortfolioAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DisassociateTrialComponentResult> disassociateTrialComponentAsync(DisassociateTrialComponentRequest request)
AmazonSageMakerAsyncDisassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify
ExperimentTrialComponent for the Resource parameter. The list appears in the response
under Results.TrialComponent.Parents.
disassociateTrialComponentAsync in interface AmazonSageMakerAsyncpublic Future<DisassociateTrialComponentResult> disassociateTrialComponentAsync(DisassociateTrialComponentRequest request, AsyncHandler<DisassociateTrialComponentRequest,DisassociateTrialComponentResult> asyncHandler)
AmazonSageMakerAsyncDisassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify
ExperimentTrialComponent for the Resource parameter. The list appears in the response
under Results.TrialComponent.Parents.
disassociateTrialComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<EnableSagemakerServicecatalogPortfolioResult> enableSagemakerServicecatalogPortfolioAsync(EnableSagemakerServicecatalogPortfolioRequest request)
AmazonSageMakerAsyncEnables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
enableSagemakerServicecatalogPortfolioAsync in interface AmazonSageMakerAsyncpublic Future<EnableSagemakerServicecatalogPortfolioResult> enableSagemakerServicecatalogPortfolioAsync(EnableSagemakerServicecatalogPortfolioRequest request, AsyncHandler<EnableSagemakerServicecatalogPortfolioRequest,EnableSagemakerServicecatalogPortfolioResult> asyncHandler)
AmazonSageMakerAsyncEnables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
enableSagemakerServicecatalogPortfolioAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetDeviceFleetReportResult> getDeviceFleetReportAsync(GetDeviceFleetReportRequest request)
AmazonSageMakerAsyncDescribes a fleet.
getDeviceFleetReportAsync in interface AmazonSageMakerAsyncpublic Future<GetDeviceFleetReportResult> getDeviceFleetReportAsync(GetDeviceFleetReportRequest request, AsyncHandler<GetDeviceFleetReportRequest,GetDeviceFleetReportResult> asyncHandler)
AmazonSageMakerAsyncDescribes a fleet.
getDeviceFleetReportAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetLineageGroupPolicyResult> getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest request)
AmazonSageMakerAsyncThe resource policy for the lineage group.
getLineageGroupPolicyAsync in interface AmazonSageMakerAsyncpublic Future<GetLineageGroupPolicyResult> getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest request, AsyncHandler<GetLineageGroupPolicyRequest,GetLineageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsyncThe resource policy for the lineage group.
getLineageGroupPolicyAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetModelPackageGroupPolicyResult> getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest request)
AmazonSageMakerAsyncGets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
getModelPackageGroupPolicyAsync in interface AmazonSageMakerAsyncpublic Future<GetModelPackageGroupPolicyResult> getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest request, AsyncHandler<GetModelPackageGroupPolicyRequest,GetModelPackageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsyncGets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
getModelPackageGroupPolicyAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetSagemakerServicecatalogPortfolioStatusResult> getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest request)
AmazonSageMakerAsyncGets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
getSagemakerServicecatalogPortfolioStatusAsync in interface AmazonSageMakerAsyncpublic Future<GetSagemakerServicecatalogPortfolioStatusResult> getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest request, AsyncHandler<GetSagemakerServicecatalogPortfolioStatusRequest,GetSagemakerServicecatalogPortfolioStatusResult> asyncHandler)
AmazonSageMakerAsyncGets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
getSagemakerServicecatalogPortfolioStatusAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetScalingConfigurationRecommendationResult> getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest request)
AmazonSageMakerAsyncStarts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.
getScalingConfigurationRecommendationAsync in interface AmazonSageMakerAsyncpublic Future<GetScalingConfigurationRecommendationResult> getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest request, AsyncHandler<GetScalingConfigurationRecommendationRequest,GetScalingConfigurationRecommendationResult> asyncHandler)
AmazonSageMakerAsyncStarts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.
getScalingConfigurationRecommendationAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetSearchSuggestionsResult> getSearchSuggestionsAsync(GetSearchSuggestionsRequest request)
AmazonSageMakerAsync
An auto-complete API for the search functionality in the SageMaker console. It returns suggestions of possible
matches for the property name to use in Search queries. Provides suggestions for
HyperParameters, Tags, and Metrics.
getSearchSuggestionsAsync in interface AmazonSageMakerAsyncpublic Future<GetSearchSuggestionsResult> getSearchSuggestionsAsync(GetSearchSuggestionsRequest request, AsyncHandler<GetSearchSuggestionsRequest,GetSearchSuggestionsResult> asyncHandler)
AmazonSageMakerAsync
An auto-complete API for the search functionality in the SageMaker console. It returns suggestions of possible
matches for the property name to use in Search queries. Provides suggestions for
HyperParameters, Tags, and Metrics.
getSearchSuggestionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ImportHubContentResult> importHubContentAsync(ImportHubContentRequest request)
AmazonSageMakerAsyncImport hub content.
importHubContentAsync in interface AmazonSageMakerAsyncpublic Future<ImportHubContentResult> importHubContentAsync(ImportHubContentRequest request, AsyncHandler<ImportHubContentRequest,ImportHubContentResult> asyncHandler)
AmazonSageMakerAsyncImport hub content.
importHubContentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListActionsResult> listActionsAsync(ListActionsRequest request)
AmazonSageMakerAsyncLists the actions in your account and their properties.
listActionsAsync in interface AmazonSageMakerAsyncpublic Future<ListActionsResult> listActionsAsync(ListActionsRequest request, AsyncHandler<ListActionsRequest,ListActionsResult> asyncHandler)
AmazonSageMakerAsyncLists the actions in your account and their properties.
listActionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAlgorithmsResult> listAlgorithmsAsync(ListAlgorithmsRequest request)
AmazonSageMakerAsyncLists the machine learning algorithms that have been created.
listAlgorithmsAsync in interface AmazonSageMakerAsyncpublic Future<ListAlgorithmsResult> listAlgorithmsAsync(ListAlgorithmsRequest request, AsyncHandler<ListAlgorithmsRequest,ListAlgorithmsResult> asyncHandler)
AmazonSageMakerAsyncLists the machine learning algorithms that have been created.
listAlgorithmsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAliasesResult> listAliasesAsync(ListAliasesRequest request)
AmazonSageMakerAsyncLists the aliases of a specified image or image version.
listAliasesAsync in interface AmazonSageMakerAsyncpublic Future<ListAliasesResult> listAliasesAsync(ListAliasesRequest request, AsyncHandler<ListAliasesRequest,ListAliasesResult> asyncHandler)
AmazonSageMakerAsyncLists the aliases of a specified image or image version.
listAliasesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAppImageConfigsResult> listAppImageConfigsAsync(ListAppImageConfigsRequest request)
AmazonSageMakerAsyncLists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.
listAppImageConfigsAsync in interface AmazonSageMakerAsyncpublic Future<ListAppImageConfigsResult> listAppImageConfigsAsync(ListAppImageConfigsRequest request, AsyncHandler<ListAppImageConfigsRequest,ListAppImageConfigsResult> asyncHandler)
AmazonSageMakerAsyncLists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.
listAppImageConfigsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAppsResult> listAppsAsync(ListAppsRequest request)
AmazonSageMakerAsyncLists apps.
listAppsAsync in interface AmazonSageMakerAsyncpublic Future<ListAppsResult> listAppsAsync(ListAppsRequest request, AsyncHandler<ListAppsRequest,ListAppsResult> asyncHandler)
AmazonSageMakerAsyncLists apps.
listAppsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListArtifactsResult> listArtifactsAsync(ListArtifactsRequest request)
AmazonSageMakerAsyncLists the artifacts in your account and their properties.
listArtifactsAsync in interface AmazonSageMakerAsyncpublic Future<ListArtifactsResult> listArtifactsAsync(ListArtifactsRequest request, AsyncHandler<ListArtifactsRequest,ListArtifactsResult> asyncHandler)
AmazonSageMakerAsyncLists the artifacts in your account and their properties.
listArtifactsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAssociationsResult> listAssociationsAsync(ListAssociationsRequest request)
AmazonSageMakerAsyncLists the associations in your account and their properties.
listAssociationsAsync in interface AmazonSageMakerAsyncpublic Future<ListAssociationsResult> listAssociationsAsync(ListAssociationsRequest request, AsyncHandler<ListAssociationsRequest,ListAssociationsResult> asyncHandler)
AmazonSageMakerAsyncLists the associations in your account and their properties.
listAssociationsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAutoMLJobsResult> listAutoMLJobsAsync(ListAutoMLJobsRequest request)
AmazonSageMakerAsyncRequest a list of jobs.
listAutoMLJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListAutoMLJobsResult> listAutoMLJobsAsync(ListAutoMLJobsRequest request, AsyncHandler<ListAutoMLJobsRequest,ListAutoMLJobsResult> asyncHandler)
AmazonSageMakerAsyncRequest a list of jobs.
listAutoMLJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListCandidatesForAutoMLJobResult> listCandidatesForAutoMLJobAsync(ListCandidatesForAutoMLJobRequest request)
AmazonSageMakerAsyncList the candidates created for the job.
listCandidatesForAutoMLJobAsync in interface AmazonSageMakerAsyncpublic Future<ListCandidatesForAutoMLJobResult> listCandidatesForAutoMLJobAsync(ListCandidatesForAutoMLJobRequest request, AsyncHandler<ListCandidatesForAutoMLJobRequest,ListCandidatesForAutoMLJobResult> asyncHandler)
AmazonSageMakerAsyncList the candidates created for the job.
listCandidatesForAutoMLJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListClusterNodesResult> listClusterNodesAsync(ListClusterNodesRequest request)
AmazonSageMakerAsyncRetrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
listClusterNodesAsync in interface AmazonSageMakerAsyncpublic Future<ListClusterNodesResult> listClusterNodesAsync(ListClusterNodesRequest request, AsyncHandler<ListClusterNodesRequest,ListClusterNodesResult> asyncHandler)
AmazonSageMakerAsyncRetrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
listClusterNodesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListClustersResult> listClustersAsync(ListClustersRequest request)
AmazonSageMakerAsyncRetrieves the list of SageMaker HyperPod clusters.
listClustersAsync in interface AmazonSageMakerAsyncpublic Future<ListClustersResult> listClustersAsync(ListClustersRequest request, AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
AmazonSageMakerAsyncRetrieves the list of SageMaker HyperPod clusters.
listClustersAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListCodeRepositoriesResult> listCodeRepositoriesAsync(ListCodeRepositoriesRequest request)
AmazonSageMakerAsyncGets a list of the Git repositories in your account.
listCodeRepositoriesAsync in interface AmazonSageMakerAsyncpublic Future<ListCodeRepositoriesResult> listCodeRepositoriesAsync(ListCodeRepositoriesRequest request, AsyncHandler<ListCodeRepositoriesRequest,ListCodeRepositoriesResult> asyncHandler)
AmazonSageMakerAsyncGets a list of the Git repositories in your account.
listCodeRepositoriesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListCompilationJobsResult> listCompilationJobsAsync(ListCompilationJobsRequest request)
AmazonSageMakerAsyncLists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
listCompilationJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListCompilationJobsResult> listCompilationJobsAsync(ListCompilationJobsRequest request, AsyncHandler<ListCompilationJobsRequest,ListCompilationJobsResult> asyncHandler)
AmazonSageMakerAsyncLists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
listCompilationJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListContextsResult> listContextsAsync(ListContextsRequest request)
AmazonSageMakerAsyncLists the contexts in your account and their properties.
listContextsAsync in interface AmazonSageMakerAsyncpublic Future<ListContextsResult> listContextsAsync(ListContextsRequest request, AsyncHandler<ListContextsRequest,ListContextsResult> asyncHandler)
AmazonSageMakerAsyncLists the contexts in your account and their properties.
listContextsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDataQualityJobDefinitionsResult> listDataQualityJobDefinitionsAsync(ListDataQualityJobDefinitionsRequest request)
AmazonSageMakerAsyncLists the data quality job definitions in your account.
listDataQualityJobDefinitionsAsync in interface AmazonSageMakerAsyncpublic Future<ListDataQualityJobDefinitionsResult> listDataQualityJobDefinitionsAsync(ListDataQualityJobDefinitionsRequest request, AsyncHandler<ListDataQualityJobDefinitionsRequest,ListDataQualityJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsyncLists the data quality job definitions in your account.
listDataQualityJobDefinitionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDeviceFleetsResult> listDeviceFleetsAsync(ListDeviceFleetsRequest request)
AmazonSageMakerAsyncReturns a list of devices in the fleet.
listDeviceFleetsAsync in interface AmazonSageMakerAsyncpublic Future<ListDeviceFleetsResult> listDeviceFleetsAsync(ListDeviceFleetsRequest request, AsyncHandler<ListDeviceFleetsRequest,ListDeviceFleetsResult> asyncHandler)
AmazonSageMakerAsyncReturns a list of devices in the fleet.
listDeviceFleetsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDevicesResult> listDevicesAsync(ListDevicesRequest request)
AmazonSageMakerAsyncA list of devices.
listDevicesAsync in interface AmazonSageMakerAsyncpublic Future<ListDevicesResult> listDevicesAsync(ListDevicesRequest request, AsyncHandler<ListDevicesRequest,ListDevicesResult> asyncHandler)
AmazonSageMakerAsyncA list of devices.
listDevicesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDomainsResult> listDomainsAsync(ListDomainsRequest request)
AmazonSageMakerAsyncLists the domains.
listDomainsAsync in interface AmazonSageMakerAsyncpublic Future<ListDomainsResult> listDomainsAsync(ListDomainsRequest request, AsyncHandler<ListDomainsRequest,ListDomainsResult> asyncHandler)
AmazonSageMakerAsyncLists the domains.
listDomainsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEdgeDeploymentPlansResult> listEdgeDeploymentPlansAsync(ListEdgeDeploymentPlansRequest request)
AmazonSageMakerAsyncLists all edge deployment plans.
listEdgeDeploymentPlansAsync in interface AmazonSageMakerAsyncpublic Future<ListEdgeDeploymentPlansResult> listEdgeDeploymentPlansAsync(ListEdgeDeploymentPlansRequest request, AsyncHandler<ListEdgeDeploymentPlansRequest,ListEdgeDeploymentPlansResult> asyncHandler)
AmazonSageMakerAsyncLists all edge deployment plans.
listEdgeDeploymentPlansAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEdgePackagingJobsResult> listEdgePackagingJobsAsync(ListEdgePackagingJobsRequest request)
AmazonSageMakerAsyncReturns a list of edge packaging jobs.
listEdgePackagingJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListEdgePackagingJobsResult> listEdgePackagingJobsAsync(ListEdgePackagingJobsRequest request, AsyncHandler<ListEdgePackagingJobsRequest,ListEdgePackagingJobsResult> asyncHandler)
AmazonSageMakerAsyncReturns a list of edge packaging jobs.
listEdgePackagingJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEndpointConfigsResult> listEndpointConfigsAsync(ListEndpointConfigsRequest request)
AmazonSageMakerAsyncLists endpoint configurations.
listEndpointConfigsAsync in interface AmazonSageMakerAsyncpublic Future<ListEndpointConfigsResult> listEndpointConfigsAsync(ListEndpointConfigsRequest request, AsyncHandler<ListEndpointConfigsRequest,ListEndpointConfigsResult> asyncHandler)
AmazonSageMakerAsyncLists endpoint configurations.
listEndpointConfigsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEndpointsResult> listEndpointsAsync(ListEndpointsRequest request)
AmazonSageMakerAsyncLists endpoints.
listEndpointsAsync in interface AmazonSageMakerAsyncpublic Future<ListEndpointsResult> listEndpointsAsync(ListEndpointsRequest request, AsyncHandler<ListEndpointsRequest,ListEndpointsResult> asyncHandler)
AmazonSageMakerAsyncLists endpoints.
listEndpointsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListExperimentsResult> listExperimentsAsync(ListExperimentsRequest request)
AmazonSageMakerAsyncLists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
listExperimentsAsync in interface AmazonSageMakerAsyncpublic Future<ListExperimentsResult> listExperimentsAsync(ListExperimentsRequest request, AsyncHandler<ListExperimentsRequest,ListExperimentsResult> asyncHandler)
AmazonSageMakerAsyncLists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
listExperimentsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListFeatureGroupsResult> listFeatureGroupsAsync(ListFeatureGroupsRequest request)
AmazonSageMakerAsync
List FeatureGroups based on given filter and order.
listFeatureGroupsAsync in interface AmazonSageMakerAsyncpublic Future<ListFeatureGroupsResult> listFeatureGroupsAsync(ListFeatureGroupsRequest request, AsyncHandler<ListFeatureGroupsRequest,ListFeatureGroupsResult> asyncHandler)
AmazonSageMakerAsync
List FeatureGroups based on given filter and order.
listFeatureGroupsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListFlowDefinitionsResult> listFlowDefinitionsAsync(ListFlowDefinitionsRequest request)
AmazonSageMakerAsyncReturns information about the flow definitions in your account.
listFlowDefinitionsAsync in interface AmazonSageMakerAsyncpublic Future<ListFlowDefinitionsResult> listFlowDefinitionsAsync(ListFlowDefinitionsRequest request, AsyncHandler<ListFlowDefinitionsRequest,ListFlowDefinitionsResult> asyncHandler)
AmazonSageMakerAsyncReturns information about the flow definitions in your account.
listFlowDefinitionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHubContentVersionsResult> listHubContentVersionsAsync(ListHubContentVersionsRequest request)
AmazonSageMakerAsyncList hub content versions.
listHubContentVersionsAsync in interface AmazonSageMakerAsyncpublic Future<ListHubContentVersionsResult> listHubContentVersionsAsync(ListHubContentVersionsRequest request, AsyncHandler<ListHubContentVersionsRequest,ListHubContentVersionsResult> asyncHandler)
AmazonSageMakerAsyncList hub content versions.
listHubContentVersionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHubContentsResult> listHubContentsAsync(ListHubContentsRequest request)
AmazonSageMakerAsyncList the contents of a hub.
listHubContentsAsync in interface AmazonSageMakerAsyncpublic Future<ListHubContentsResult> listHubContentsAsync(ListHubContentsRequest request, AsyncHandler<ListHubContentsRequest,ListHubContentsResult> asyncHandler)
AmazonSageMakerAsyncList the contents of a hub.
listHubContentsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHubsResult> listHubsAsync(ListHubsRequest request)
AmazonSageMakerAsyncList all existing hubs.
listHubsAsync in interface AmazonSageMakerAsyncpublic Future<ListHubsResult> listHubsAsync(ListHubsRequest request, AsyncHandler<ListHubsRequest,ListHubsResult> asyncHandler)
AmazonSageMakerAsyncList all existing hubs.
listHubsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHumanTaskUisResult> listHumanTaskUisAsync(ListHumanTaskUisRequest request)
AmazonSageMakerAsyncReturns information about the human task user interfaces in your account.
listHumanTaskUisAsync in interface AmazonSageMakerAsyncpublic Future<ListHumanTaskUisResult> listHumanTaskUisAsync(ListHumanTaskUisRequest request, AsyncHandler<ListHumanTaskUisRequest,ListHumanTaskUisResult> asyncHandler)
AmazonSageMakerAsyncReturns information about the human task user interfaces in your account.
listHumanTaskUisAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHyperParameterTuningJobsResult> listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request)
AmazonSageMakerAsyncGets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
listHyperParameterTuningJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListHyperParameterTuningJobsResult> listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request, AsyncHandler<ListHyperParameterTuningJobsRequest,ListHyperParameterTuningJobsResult> asyncHandler)
AmazonSageMakerAsyncGets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
listHyperParameterTuningJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListImageVersionsResult> listImageVersionsAsync(ListImageVersionsRequest request)
AmazonSageMakerAsyncLists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.
listImageVersionsAsync in interface AmazonSageMakerAsyncpublic Future<ListImageVersionsResult> listImageVersionsAsync(ListImageVersionsRequest request, AsyncHandler<ListImageVersionsRequest,ListImageVersionsResult> asyncHandler)
AmazonSageMakerAsyncLists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.
listImageVersionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListImagesResult> listImagesAsync(ListImagesRequest request)
AmazonSageMakerAsyncLists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.
listImagesAsync in interface AmazonSageMakerAsyncpublic Future<ListImagesResult> listImagesAsync(ListImagesRequest request, AsyncHandler<ListImagesRequest,ListImagesResult> asyncHandler)
AmazonSageMakerAsyncLists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.
listImagesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceComponentsResult> listInferenceComponentsAsync(ListInferenceComponentsRequest request)
AmazonSageMakerAsyncLists the inference components in your account and their properties.
listInferenceComponentsAsync in interface AmazonSageMakerAsyncpublic Future<ListInferenceComponentsResult> listInferenceComponentsAsync(ListInferenceComponentsRequest request, AsyncHandler<ListInferenceComponentsRequest,ListInferenceComponentsResult> asyncHandler)
AmazonSageMakerAsyncLists the inference components in your account and their properties.
listInferenceComponentsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceExperimentsResult> listInferenceExperimentsAsync(ListInferenceExperimentsRequest request)
AmazonSageMakerAsyncReturns the list of all inference experiments.
listInferenceExperimentsAsync in interface AmazonSageMakerAsyncpublic Future<ListInferenceExperimentsResult> listInferenceExperimentsAsync(ListInferenceExperimentsRequest request, AsyncHandler<ListInferenceExperimentsRequest,ListInferenceExperimentsResult> asyncHandler)
AmazonSageMakerAsyncReturns the list of all inference experiments.
listInferenceExperimentsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceRecommendationsJobStepsResult> listInferenceRecommendationsJobStepsAsync(ListInferenceRecommendationsJobStepsRequest request)
AmazonSageMakerAsyncReturns a list of the subtasks for an Inference Recommender job.
The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.
listInferenceRecommendationsJobStepsAsync in interface AmazonSageMakerAsyncpublic Future<ListInferenceRecommendationsJobStepsResult> listInferenceRecommendationsJobStepsAsync(ListInferenceRecommendationsJobStepsRequest request, AsyncHandler<ListInferenceRecommendationsJobStepsRequest,ListInferenceRecommendationsJobStepsResult> asyncHandler)
AmazonSageMakerAsyncReturns a list of the subtasks for an Inference Recommender job.
The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.
listInferenceRecommendationsJobStepsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceRecommendationsJobsResult> listInferenceRecommendationsJobsAsync(ListInferenceRecommendationsJobsRequest request)
AmazonSageMakerAsyncLists recommendation jobs that satisfy various filters.
listInferenceRecommendationsJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListInferenceRecommendationsJobsResult> listInferenceRecommendationsJobsAsync(ListInferenceRecommendationsJobsRequest request, AsyncHandler<ListInferenceRecommendationsJobsRequest,ListInferenceRecommendationsJobsResult> asyncHandler)
AmazonSageMakerAsyncLists recommendation jobs that satisfy various filters.
listInferenceRecommendationsJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListLabelingJobsResult> listLabelingJobsAsync(ListLabelingJobsRequest request)
AmazonSageMakerAsyncGets a list of labeling jobs.
listLabelingJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListLabelingJobsResult> listLabelingJobsAsync(ListLabelingJobsRequest request, AsyncHandler<ListLabelingJobsRequest,ListLabelingJobsResult> asyncHandler)
AmazonSageMakerAsyncGets a list of labeling jobs.
listLabelingJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListLabelingJobsForWorkteamResult> listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request)
AmazonSageMakerAsyncGets a list of labeling jobs assigned to a specified work team.
listLabelingJobsForWorkteamAsync in interface AmazonSageMakerAsyncpublic Future<ListLabelingJobsForWorkteamResult> listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request, AsyncHandler<ListLabelingJobsForWorkteamRequest,ListLabelingJobsForWorkteamResult> asyncHandler)
AmazonSageMakerAsyncGets a list of labeling jobs assigned to a specified work team.
listLabelingJobsForWorkteamAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListLineageGroupsResult> listLineageGroupsAsync(ListLineageGroupsRequest request)
AmazonSageMakerAsyncA list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
listLineageGroupsAsync in interface AmazonSageMakerAsyncpublic Future<ListLineageGroupsResult> listLineageGroupsAsync(ListLineageGroupsRequest request, AsyncHandler<ListLineageGroupsRequest,ListLineageGroupsResult> asyncHandler)
AmazonSageMakerAsyncA list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
listLineageGroupsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMlflowTrackingServersResult> listMlflowTrackingServersAsync(ListMlflowTrackingServersRequest request)
AmazonSageMakerAsyncLists all MLflow Tracking Servers.
listMlflowTrackingServersAsync in interface AmazonSageMakerAsyncpublic Future<ListMlflowTrackingServersResult> listMlflowTrackingServersAsync(ListMlflowTrackingServersRequest request, AsyncHandler<ListMlflowTrackingServersRequest,ListMlflowTrackingServersResult> asyncHandler)
AmazonSageMakerAsyncLists all MLflow Tracking Servers.
listMlflowTrackingServersAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelBiasJobDefinitionsResult> listModelBiasJobDefinitionsAsync(ListModelBiasJobDefinitionsRequest request)
AmazonSageMakerAsyncLists model bias jobs definitions that satisfy various filters.
listModelBiasJobDefinitionsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelBiasJobDefinitionsResult> listModelBiasJobDefinitionsAsync(ListModelBiasJobDefinitionsRequest request, AsyncHandler<ListModelBiasJobDefinitionsRequest,ListModelBiasJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsyncLists model bias jobs definitions that satisfy various filters.
listModelBiasJobDefinitionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelCardExportJobsResult> listModelCardExportJobsAsync(ListModelCardExportJobsRequest request)
AmazonSageMakerAsyncList the export jobs for the Amazon SageMaker Model Card.
listModelCardExportJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelCardExportJobsResult> listModelCardExportJobsAsync(ListModelCardExportJobsRequest request, AsyncHandler<ListModelCardExportJobsRequest,ListModelCardExportJobsResult> asyncHandler)
AmazonSageMakerAsyncList the export jobs for the Amazon SageMaker Model Card.
listModelCardExportJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelCardVersionsResult> listModelCardVersionsAsync(ListModelCardVersionsRequest request)
AmazonSageMakerAsyncList existing versions of an Amazon SageMaker Model Card.
listModelCardVersionsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelCardVersionsResult> listModelCardVersionsAsync(ListModelCardVersionsRequest request, AsyncHandler<ListModelCardVersionsRequest,ListModelCardVersionsResult> asyncHandler)
AmazonSageMakerAsyncList existing versions of an Amazon SageMaker Model Card.
listModelCardVersionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelCardsResult> listModelCardsAsync(ListModelCardsRequest request)
AmazonSageMakerAsyncList existing model cards.
listModelCardsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelCardsResult> listModelCardsAsync(ListModelCardsRequest request, AsyncHandler<ListModelCardsRequest,ListModelCardsResult> asyncHandler)
AmazonSageMakerAsyncList existing model cards.
listModelCardsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelExplainabilityJobDefinitionsResult> listModelExplainabilityJobDefinitionsAsync(ListModelExplainabilityJobDefinitionsRequest request)
AmazonSageMakerAsyncLists model explainability job definitions that satisfy various filters.
listModelExplainabilityJobDefinitionsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelExplainabilityJobDefinitionsResult> listModelExplainabilityJobDefinitionsAsync(ListModelExplainabilityJobDefinitionsRequest request, AsyncHandler<ListModelExplainabilityJobDefinitionsRequest,ListModelExplainabilityJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsyncLists model explainability job definitions that satisfy various filters.
listModelExplainabilityJobDefinitionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelMetadataResult> listModelMetadataAsync(ListModelMetadataRequest request)
AmazonSageMakerAsyncLists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
listModelMetadataAsync in interface AmazonSageMakerAsyncpublic Future<ListModelMetadataResult> listModelMetadataAsync(ListModelMetadataRequest request, AsyncHandler<ListModelMetadataRequest,ListModelMetadataResult> asyncHandler)
AmazonSageMakerAsyncLists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
listModelMetadataAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelPackageGroupsResult> listModelPackageGroupsAsync(ListModelPackageGroupsRequest request)
AmazonSageMakerAsyncGets a list of the model groups in your Amazon Web Services account.
listModelPackageGroupsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelPackageGroupsResult> listModelPackageGroupsAsync(ListModelPackageGroupsRequest request, AsyncHandler<ListModelPackageGroupsRequest,ListModelPackageGroupsResult> asyncHandler)
AmazonSageMakerAsyncGets a list of the model groups in your Amazon Web Services account.
listModelPackageGroupsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelPackagesResult> listModelPackagesAsync(ListModelPackagesRequest request)
AmazonSageMakerAsyncLists the model packages that have been created.
listModelPackagesAsync in interface AmazonSageMakerAsyncpublic Future<ListModelPackagesResult> listModelPackagesAsync(ListModelPackagesRequest request, AsyncHandler<ListModelPackagesRequest,ListModelPackagesResult> asyncHandler)
AmazonSageMakerAsyncLists the model packages that have been created.
listModelPackagesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelQualityJobDefinitionsResult> listModelQualityJobDefinitionsAsync(ListModelQualityJobDefinitionsRequest request)
AmazonSageMakerAsyncGets a list of model quality monitoring job definitions in your account.
listModelQualityJobDefinitionsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelQualityJobDefinitionsResult> listModelQualityJobDefinitionsAsync(ListModelQualityJobDefinitionsRequest request, AsyncHandler<ListModelQualityJobDefinitionsRequest,ListModelQualityJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsyncGets a list of model quality monitoring job definitions in your account.
listModelQualityJobDefinitionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelsResult> listModelsAsync(ListModelsRequest request)
AmazonSageMakerAsync
Lists models created with the CreateModel API.
listModelsAsync in interface AmazonSageMakerAsyncpublic Future<ListModelsResult> listModelsAsync(ListModelsRequest request, AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)
AmazonSageMakerAsync
Lists models created with the CreateModel API.
listModelsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringAlertHistoryResult> listMonitoringAlertHistoryAsync(ListMonitoringAlertHistoryRequest request)
AmazonSageMakerAsyncGets a list of past alerts in a model monitoring schedule.
listMonitoringAlertHistoryAsync in interface AmazonSageMakerAsyncpublic Future<ListMonitoringAlertHistoryResult> listMonitoringAlertHistoryAsync(ListMonitoringAlertHistoryRequest request, AsyncHandler<ListMonitoringAlertHistoryRequest,ListMonitoringAlertHistoryResult> asyncHandler)
AmazonSageMakerAsyncGets a list of past alerts in a model monitoring schedule.
listMonitoringAlertHistoryAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringAlertsResult> listMonitoringAlertsAsync(ListMonitoringAlertsRequest request)
AmazonSageMakerAsyncGets the alerts for a single monitoring schedule.
listMonitoringAlertsAsync in interface AmazonSageMakerAsyncpublic Future<ListMonitoringAlertsResult> listMonitoringAlertsAsync(ListMonitoringAlertsRequest request, AsyncHandler<ListMonitoringAlertsRequest,ListMonitoringAlertsResult> asyncHandler)
AmazonSageMakerAsyncGets the alerts for a single monitoring schedule.
listMonitoringAlertsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringExecutionsResult> listMonitoringExecutionsAsync(ListMonitoringExecutionsRequest request)
AmazonSageMakerAsyncReturns list of all monitoring job executions.
listMonitoringExecutionsAsync in interface AmazonSageMakerAsyncpublic Future<ListMonitoringExecutionsResult> listMonitoringExecutionsAsync(ListMonitoringExecutionsRequest request, AsyncHandler<ListMonitoringExecutionsRequest,ListMonitoringExecutionsResult> asyncHandler)
AmazonSageMakerAsyncReturns list of all monitoring job executions.
listMonitoringExecutionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringSchedulesResult> listMonitoringSchedulesAsync(ListMonitoringSchedulesRequest request)
AmazonSageMakerAsyncReturns list of all monitoring schedules.
listMonitoringSchedulesAsync in interface AmazonSageMakerAsyncpublic Future<ListMonitoringSchedulesResult> listMonitoringSchedulesAsync(ListMonitoringSchedulesRequest request, AsyncHandler<ListMonitoringSchedulesRequest,ListMonitoringSchedulesResult> asyncHandler)
AmazonSageMakerAsyncReturns list of all monitoring schedules.
listMonitoringSchedulesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListNotebookInstanceLifecycleConfigsResult> listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request)
AmazonSageMakerAsyncLists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
listNotebookInstanceLifecycleConfigsAsync in interface AmazonSageMakerAsyncpublic Future<ListNotebookInstanceLifecycleConfigsResult> listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request, AsyncHandler<ListNotebookInstanceLifecycleConfigsRequest,ListNotebookInstanceLifecycleConfigsResult> asyncHandler)
AmazonSageMakerAsyncLists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
listNotebookInstanceLifecycleConfigsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListNotebookInstancesResult> listNotebookInstancesAsync(ListNotebookInstancesRequest request)
AmazonSageMakerAsyncReturns a list of the SageMaker notebook instances in the requester's account in an Amazon Web Services Region.
listNotebookInstancesAsync in interface AmazonSageMakerAsyncpublic Future<ListNotebookInstancesResult> listNotebookInstancesAsync(ListNotebookInstancesRequest request, AsyncHandler<ListNotebookInstancesRequest,ListNotebookInstancesResult> asyncHandler)
AmazonSageMakerAsyncReturns a list of the SageMaker notebook instances in the requester's account in an Amazon Web Services Region.
listNotebookInstancesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListOptimizationJobsResult> listOptimizationJobsAsync(ListOptimizationJobsRequest request)
AmazonSageMakerAsyncLists the optimization jobs in your account and their properties.
listOptimizationJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListOptimizationJobsResult> listOptimizationJobsAsync(ListOptimizationJobsRequest request, AsyncHandler<ListOptimizationJobsRequest,ListOptimizationJobsResult> asyncHandler)
AmazonSageMakerAsyncLists the optimization jobs in your account and their properties.
listOptimizationJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelineExecutionStepsResult> listPipelineExecutionStepsAsync(ListPipelineExecutionStepsRequest request)
AmazonSageMakerAsync
Gets a list of PipeLineExecutionStep objects.
listPipelineExecutionStepsAsync in interface AmazonSageMakerAsyncpublic Future<ListPipelineExecutionStepsResult> listPipelineExecutionStepsAsync(ListPipelineExecutionStepsRequest request, AsyncHandler<ListPipelineExecutionStepsRequest,ListPipelineExecutionStepsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of PipeLineExecutionStep objects.
listPipelineExecutionStepsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelineExecutionsResult> listPipelineExecutionsAsync(ListPipelineExecutionsRequest request)
AmazonSageMakerAsyncGets a list of the pipeline executions.
listPipelineExecutionsAsync in interface AmazonSageMakerAsyncpublic Future<ListPipelineExecutionsResult> listPipelineExecutionsAsync(ListPipelineExecutionsRequest request, AsyncHandler<ListPipelineExecutionsRequest,ListPipelineExecutionsResult> asyncHandler)
AmazonSageMakerAsyncGets a list of the pipeline executions.
listPipelineExecutionsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelineParametersForExecutionResult> listPipelineParametersForExecutionAsync(ListPipelineParametersForExecutionRequest request)
AmazonSageMakerAsyncGets a list of parameters for a pipeline execution.
listPipelineParametersForExecutionAsync in interface AmazonSageMakerAsyncpublic Future<ListPipelineParametersForExecutionResult> listPipelineParametersForExecutionAsync(ListPipelineParametersForExecutionRequest request, AsyncHandler<ListPipelineParametersForExecutionRequest,ListPipelineParametersForExecutionResult> asyncHandler)
AmazonSageMakerAsyncGets a list of parameters for a pipeline execution.
listPipelineParametersForExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelinesResult> listPipelinesAsync(ListPipelinesRequest request)
AmazonSageMakerAsyncGets a list of pipelines.
listPipelinesAsync in interface AmazonSageMakerAsyncpublic Future<ListPipelinesResult> listPipelinesAsync(ListPipelinesRequest request, AsyncHandler<ListPipelinesRequest,ListPipelinesResult> asyncHandler)
AmazonSageMakerAsyncGets a list of pipelines.
listPipelinesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListProcessingJobsResult> listProcessingJobsAsync(ListProcessingJobsRequest request)
AmazonSageMakerAsyncLists processing jobs that satisfy various filters.
listProcessingJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListProcessingJobsResult> listProcessingJobsAsync(ListProcessingJobsRequest request, AsyncHandler<ListProcessingJobsRequest,ListProcessingJobsResult> asyncHandler)
AmazonSageMakerAsyncLists processing jobs that satisfy various filters.
listProcessingJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListProjectsResult> listProjectsAsync(ListProjectsRequest request)
AmazonSageMakerAsyncGets a list of the projects in an Amazon Web Services account.
listProjectsAsync in interface AmazonSageMakerAsyncpublic Future<ListProjectsResult> listProjectsAsync(ListProjectsRequest request, AsyncHandler<ListProjectsRequest,ListProjectsResult> asyncHandler)
AmazonSageMakerAsyncGets a list of the projects in an Amazon Web Services account.
listProjectsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListResourceCatalogsResult> listResourceCatalogsAsync(ListResourceCatalogsRequest request)
AmazonSageMakerAsync
Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of
ResourceCatalogs viewable is 1000.
listResourceCatalogsAsync in interface AmazonSageMakerAsyncpublic Future<ListResourceCatalogsResult> listResourceCatalogsAsync(ListResourceCatalogsRequest request, AsyncHandler<ListResourceCatalogsRequest,ListResourceCatalogsResult> asyncHandler)
AmazonSageMakerAsync
Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of
ResourceCatalogs viewable is 1000.
listResourceCatalogsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListSpacesResult> listSpacesAsync(ListSpacesRequest request)
AmazonSageMakerAsyncLists spaces.
listSpacesAsync in interface AmazonSageMakerAsyncpublic Future<ListSpacesResult> listSpacesAsync(ListSpacesRequest request, AsyncHandler<ListSpacesRequest,ListSpacesResult> asyncHandler)
AmazonSageMakerAsyncLists spaces.
listSpacesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListStageDevicesResult> listStageDevicesAsync(ListStageDevicesRequest request)
AmazonSageMakerAsyncLists devices allocated to the stage, containing detailed device information and deployment status.
listStageDevicesAsync in interface AmazonSageMakerAsyncpublic Future<ListStageDevicesResult> listStageDevicesAsync(ListStageDevicesRequest request, AsyncHandler<ListStageDevicesRequest,ListStageDevicesResult> asyncHandler)
AmazonSageMakerAsyncLists devices allocated to the stage, containing detailed device information and deployment status.
listStageDevicesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListStudioLifecycleConfigsResult> listStudioLifecycleConfigsAsync(ListStudioLifecycleConfigsRequest request)
AmazonSageMakerAsyncLists the Amazon SageMaker Studio Lifecycle Configurations in your Amazon Web Services Account.
listStudioLifecycleConfigsAsync in interface AmazonSageMakerAsyncpublic Future<ListStudioLifecycleConfigsResult> listStudioLifecycleConfigsAsync(ListStudioLifecycleConfigsRequest request, AsyncHandler<ListStudioLifecycleConfigsRequest,ListStudioLifecycleConfigsResult> asyncHandler)
AmazonSageMakerAsyncLists the Amazon SageMaker Studio Lifecycle Configurations in your Amazon Web Services Account.
listStudioLifecycleConfigsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListSubscribedWorkteamsResult> listSubscribedWorkteamsAsync(ListSubscribedWorkteamsRequest request)
AmazonSageMakerAsync
Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace. The list may be
empty if no work team satisfies the filter specified in the NameContains parameter.
listSubscribedWorkteamsAsync in interface AmazonSageMakerAsyncpublic Future<ListSubscribedWorkteamsResult> listSubscribedWorkteamsAsync(ListSubscribedWorkteamsRequest request, AsyncHandler<ListSubscribedWorkteamsRequest,ListSubscribedWorkteamsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace. The list may be
empty if no work team satisfies the filter specified in the NameContains parameter.
listSubscribedWorkteamsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTagsResult> listTagsAsync(ListTagsRequest request)
AmazonSageMakerAsyncReturns the tags for the specified SageMaker resource.
listTagsAsync in interface AmazonSageMakerAsyncpublic Future<ListTagsResult> listTagsAsync(ListTagsRequest request, AsyncHandler<ListTagsRequest,ListTagsResult> asyncHandler)
AmazonSageMakerAsyncReturns the tags for the specified SageMaker resource.
listTagsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrainingJobsResult> listTrainingJobsAsync(ListTrainingJobsRequest request)
AmazonSageMakerAsyncLists training jobs.
When StatusEquals and MaxResults are set at the same time, the MaxResults
number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are
filtered by the StatusEquals parameter, which is returned as a response.
For example, if ListTrainingJobs is invoked with the following parameters:
{ ... MaxResults: 100, StatusEquals: InProgress ... }
First, 100 trainings jobs with any status, including those other than InProgress, are selected
(sorted according to the creation time, from the most current to the oldest). Next, those with a status of
InProgress are returned.
You can quickly test the API using the following Amazon Web Services CLI code.
aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress
listTrainingJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListTrainingJobsResult> listTrainingJobsAsync(ListTrainingJobsRequest request, AsyncHandler<ListTrainingJobsRequest,ListTrainingJobsResult> asyncHandler)
AmazonSageMakerAsyncLists training jobs.
When StatusEquals and MaxResults are set at the same time, the MaxResults
number of training jobs are first retrieved ignoring the StatusEquals parameter and then they are
filtered by the StatusEquals parameter, which is returned as a response.
For example, if ListTrainingJobs is invoked with the following parameters:
{ ... MaxResults: 100, StatusEquals: InProgress ... }
First, 100 trainings jobs with any status, including those other than InProgress, are selected
(sorted according to the creation time, from the most current to the oldest). Next, those with a status of
InProgress are returned.
You can quickly test the API using the following Amazon Web Services CLI code.
aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress
listTrainingJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrainingJobsForHyperParameterTuningJobResult> listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request)
AmazonSageMakerAsyncGets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
listTrainingJobsForHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncpublic Future<ListTrainingJobsForHyperParameterTuningJobResult> listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request, AsyncHandler<ListTrainingJobsForHyperParameterTuningJobRequest,ListTrainingJobsForHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsyncGets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
listTrainingJobsForHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTransformJobsResult> listTransformJobsAsync(ListTransformJobsRequest request)
AmazonSageMakerAsyncLists transform jobs.
listTransformJobsAsync in interface AmazonSageMakerAsyncpublic Future<ListTransformJobsResult> listTransformJobsAsync(ListTransformJobsRequest request, AsyncHandler<ListTransformJobsRequest,ListTransformJobsResult> asyncHandler)
AmazonSageMakerAsyncLists transform jobs.
listTransformJobsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrialComponentsResult> listTrialComponentsAsync(ListTrialComponentsRequest request)
AmazonSageMakerAsyncLists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
listTrialComponentsAsync in interface AmazonSageMakerAsyncpublic Future<ListTrialComponentsResult> listTrialComponentsAsync(ListTrialComponentsRequest request, AsyncHandler<ListTrialComponentsRequest,ListTrialComponentsResult> asyncHandler)
AmazonSageMakerAsyncLists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
listTrialComponentsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrialsResult> listTrialsAsync(ListTrialsRequest request)
AmazonSageMakerAsyncLists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
listTrialsAsync in interface AmazonSageMakerAsyncpublic Future<ListTrialsResult> listTrialsAsync(ListTrialsRequest request, AsyncHandler<ListTrialsRequest,ListTrialsResult> asyncHandler)
AmazonSageMakerAsyncLists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
listTrialsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListUserProfilesResult> listUserProfilesAsync(ListUserProfilesRequest request)
AmazonSageMakerAsyncLists user profiles.
listUserProfilesAsync in interface AmazonSageMakerAsyncpublic Future<ListUserProfilesResult> listUserProfilesAsync(ListUserProfilesRequest request, AsyncHandler<ListUserProfilesRequest,ListUserProfilesResult> asyncHandler)
AmazonSageMakerAsyncLists user profiles.
listUserProfilesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListWorkforcesResult> listWorkforcesAsync(ListWorkforcesRequest request)
AmazonSageMakerAsyncUse this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.
listWorkforcesAsync in interface AmazonSageMakerAsyncpublic Future<ListWorkforcesResult> listWorkforcesAsync(ListWorkforcesRequest request, AsyncHandler<ListWorkforcesRequest,ListWorkforcesResult> asyncHandler)
AmazonSageMakerAsyncUse this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.
listWorkforcesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListWorkteamsResult> listWorkteamsAsync(ListWorkteamsRequest request)
AmazonSageMakerAsync
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
listWorkteamsAsync in interface AmazonSageMakerAsyncpublic Future<ListWorkteamsResult> listWorkteamsAsync(ListWorkteamsRequest request, AsyncHandler<ListWorkteamsRequest,ListWorkteamsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of private work teams that you have defined in a region. The list may be empty if no work team
satisfies the filter specified in the NameContains parameter.
listWorkteamsAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<PutModelPackageGroupPolicyResult> putModelPackageGroupPolicyAsync(PutModelPackageGroupPolicyRequest request)
AmazonSageMakerAsyncAdds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
putModelPackageGroupPolicyAsync in interface AmazonSageMakerAsyncpublic Future<PutModelPackageGroupPolicyResult> putModelPackageGroupPolicyAsync(PutModelPackageGroupPolicyRequest request, AsyncHandler<PutModelPackageGroupPolicyRequest,PutModelPackageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsyncAdds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
putModelPackageGroupPolicyAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<QueryLineageResult> queryLineageAsync(QueryLineageRequest request)
AmazonSageMakerAsyncUse this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.
queryLineageAsync in interface AmazonSageMakerAsyncpublic Future<QueryLineageResult> queryLineageAsync(QueryLineageRequest request, AsyncHandler<QueryLineageRequest,QueryLineageResult> asyncHandler)
AmazonSageMakerAsyncUse this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.
queryLineageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RegisterDevicesResult> registerDevicesAsync(RegisterDevicesRequest request)
AmazonSageMakerAsyncRegister devices.
registerDevicesAsync in interface AmazonSageMakerAsyncpublic Future<RegisterDevicesResult> registerDevicesAsync(RegisterDevicesRequest request, AsyncHandler<RegisterDevicesRequest,RegisterDevicesResult> asyncHandler)
AmazonSageMakerAsyncRegister devices.
registerDevicesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RenderUiTemplateResult> renderUiTemplateAsync(RenderUiTemplateRequest request)
AmazonSageMakerAsyncRenders the UI template so that you can preview the worker's experience.
renderUiTemplateAsync in interface AmazonSageMakerAsyncpublic Future<RenderUiTemplateResult> renderUiTemplateAsync(RenderUiTemplateRequest request, AsyncHandler<RenderUiTemplateRequest,RenderUiTemplateResult> asyncHandler)
AmazonSageMakerAsyncRenders the UI template so that you can preview the worker's experience.
renderUiTemplateAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RetryPipelineExecutionResult> retryPipelineExecutionAsync(RetryPipelineExecutionRequest request)
AmazonSageMakerAsyncRetry the execution of the pipeline.
retryPipelineExecutionAsync in interface AmazonSageMakerAsyncpublic Future<RetryPipelineExecutionResult> retryPipelineExecutionAsync(RetryPipelineExecutionRequest request, AsyncHandler<RetryPipelineExecutionRequest,RetryPipelineExecutionResult> asyncHandler)
AmazonSageMakerAsyncRetry the execution of the pipeline.
retryPipelineExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SearchResult> searchAsync(SearchRequest request)
AmazonSageMakerAsync
Finds SageMaker resources that match a search query. Matching resources are returned as a list of
SearchRecord objects in the response. You can sort the search results by any resource property in a
ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
The Search API may provide access to otherwise restricted data. See Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference for more information.
searchAsync in interface AmazonSageMakerAsyncpublic Future<SearchResult> searchAsync(SearchRequest request, AsyncHandler<SearchRequest,SearchResult> asyncHandler)
AmazonSageMakerAsync
Finds SageMaker resources that match a search query. Matching resources are returned as a list of
SearchRecord objects in the response. You can sort the search results by any resource property in a
ascending or descending order.
You can query against the following value types: numeric, text, Boolean, and timestamp.
The Search API may provide access to otherwise restricted data. See Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference for more information.
searchAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SendPipelineExecutionStepFailureResult> sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest request)
AmazonSageMakerAsyncNotifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepFailureAsync in interface AmazonSageMakerAsyncpublic Future<SendPipelineExecutionStepFailureResult> sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest request, AsyncHandler<SendPipelineExecutionStepFailureRequest,SendPipelineExecutionStepFailureResult> asyncHandler)
AmazonSageMakerAsyncNotifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepFailureAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SendPipelineExecutionStepSuccessResult> sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest request)
AmazonSageMakerAsyncNotifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepSuccessAsync in interface AmazonSageMakerAsyncpublic Future<SendPipelineExecutionStepSuccessResult> sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest request, AsyncHandler<SendPipelineExecutionStepSuccessRequest,SendPipelineExecutionStepSuccessResult> asyncHandler)
AmazonSageMakerAsyncNotifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepSuccessAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartEdgeDeploymentStageResult> startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest request)
AmazonSageMakerAsyncStarts a stage in an edge deployment plan.
startEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncpublic Future<StartEdgeDeploymentStageResult> startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest request, AsyncHandler<StartEdgeDeploymentStageRequest,StartEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsyncStarts a stage in an edge deployment plan.
startEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartInferenceExperimentResult> startInferenceExperimentAsync(StartInferenceExperimentRequest request)
AmazonSageMakerAsyncStarts an inference experiment.
startInferenceExperimentAsync in interface AmazonSageMakerAsyncpublic Future<StartInferenceExperimentResult> startInferenceExperimentAsync(StartInferenceExperimentRequest request, AsyncHandler<StartInferenceExperimentRequest,StartInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsyncStarts an inference experiment.
startInferenceExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartMlflowTrackingServerResult> startMlflowTrackingServerAsync(StartMlflowTrackingServerRequest request)
AmazonSageMakerAsyncProgrammatically start an MLflow Tracking Server.
startMlflowTrackingServerAsync in interface AmazonSageMakerAsyncpublic Future<StartMlflowTrackingServerResult> startMlflowTrackingServerAsync(StartMlflowTrackingServerRequest request, AsyncHandler<StartMlflowTrackingServerRequest,StartMlflowTrackingServerResult> asyncHandler)
AmazonSageMakerAsyncProgrammatically start an MLflow Tracking Server.
startMlflowTrackingServerAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartMonitoringScheduleResult> startMonitoringScheduleAsync(StartMonitoringScheduleRequest request)
AmazonSageMakerAsyncStarts a previously stopped monitoring schedule.
By default, when you successfully create a new schedule, the status of a monitoring schedule is
scheduled.
startMonitoringScheduleAsync in interface AmazonSageMakerAsyncpublic Future<StartMonitoringScheduleResult> startMonitoringScheduleAsync(StartMonitoringScheduleRequest request, AsyncHandler<StartMonitoringScheduleRequest,StartMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsyncStarts a previously stopped monitoring schedule.
By default, when you successfully create a new schedule, the status of a monitoring schedule is
scheduled.
startMonitoringScheduleAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartNotebookInstanceResult> startNotebookInstanceAsync(StartNotebookInstanceRequest request)
AmazonSageMakerAsync
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
After configuring the notebook instance, SageMaker sets the notebook instance status to InService. A
notebook instance's status must be InService before you can connect to your Jupyter notebook.
startNotebookInstanceAsync in interface AmazonSageMakerAsyncpublic Future<StartNotebookInstanceResult> startNotebookInstanceAsync(StartNotebookInstanceRequest request, AsyncHandler<StartNotebookInstanceRequest,StartNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsync
Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
After configuring the notebook instance, SageMaker sets the notebook instance status to InService. A
notebook instance's status must be InService before you can connect to your Jupyter notebook.
startNotebookInstanceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartPipelineExecutionResult> startPipelineExecutionAsync(StartPipelineExecutionRequest request)
AmazonSageMakerAsyncStarts a pipeline execution.
startPipelineExecutionAsync in interface AmazonSageMakerAsyncpublic Future<StartPipelineExecutionResult> startPipelineExecutionAsync(StartPipelineExecutionRequest request, AsyncHandler<StartPipelineExecutionRequest,StartPipelineExecutionResult> asyncHandler)
AmazonSageMakerAsyncStarts a pipeline execution.
startPipelineExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopAutoMLJobResult> stopAutoMLJobAsync(StopAutoMLJobRequest request)
AmazonSageMakerAsyncA method for forcing a running job to shut down.
stopAutoMLJobAsync in interface AmazonSageMakerAsyncpublic Future<StopAutoMLJobResult> stopAutoMLJobAsync(StopAutoMLJobRequest request, AsyncHandler<StopAutoMLJobRequest,StopAutoMLJobResult> asyncHandler)
AmazonSageMakerAsyncA method for forcing a running job to shut down.
stopAutoMLJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopCompilationJobResult> stopCompilationJobAsync(StopCompilationJobRequest request)
AmazonSageMakerAsyncStops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob request, Amazon SageMaker changes the
CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it
sets the CompilationJobStatus to Stopped.
stopCompilationJobAsync in interface AmazonSageMakerAsyncpublic Future<StopCompilationJobResult> stopCompilationJobAsync(StopCompilationJobRequest request, AsyncHandler<StopCompilationJobRequest,StopCompilationJobResult> asyncHandler)
AmazonSageMakerAsyncStops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob request, Amazon SageMaker changes the
CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it
sets the CompilationJobStatus to Stopped.
stopCompilationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopEdgeDeploymentStageResult> stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest request)
AmazonSageMakerAsyncStops a stage in an edge deployment plan.
stopEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncpublic Future<StopEdgeDeploymentStageResult> stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest request, AsyncHandler<StopEdgeDeploymentStageRequest,StopEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsyncStops a stage in an edge deployment plan.
stopEdgeDeploymentStageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopEdgePackagingJobResult> stopEdgePackagingJobAsync(StopEdgePackagingJobRequest request)
AmazonSageMakerAsyncRequest to stop an edge packaging job.
stopEdgePackagingJobAsync in interface AmazonSageMakerAsyncpublic Future<StopEdgePackagingJobResult> stopEdgePackagingJobAsync(StopEdgePackagingJobRequest request, AsyncHandler<StopEdgePackagingJobRequest,StopEdgePackagingJobResult> asyncHandler)
AmazonSageMakerAsyncRequest to stop an edge packaging job.
stopEdgePackagingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopHyperParameterTuningJobResult> stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request)
AmazonSageMakerAsyncStops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All
data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning
job moves to the Stopped state, it releases all reserved resources for the tuning job.
stopHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncpublic Future<StopHyperParameterTuningJobResult> stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request, AsyncHandler<StopHyperParameterTuningJobRequest,StopHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsyncStops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All
data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning
job moves to the Stopped state, it releases all reserved resources for the tuning job.
stopHyperParameterTuningJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopInferenceExperimentResult> stopInferenceExperimentAsync(StopInferenceExperimentRequest request)
AmazonSageMakerAsyncStops an inference experiment.
stopInferenceExperimentAsync in interface AmazonSageMakerAsyncpublic Future<StopInferenceExperimentResult> stopInferenceExperimentAsync(StopInferenceExperimentRequest request, AsyncHandler<StopInferenceExperimentRequest,StopInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsyncStops an inference experiment.
stopInferenceExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopInferenceRecommendationsJobResult> stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest request)
AmazonSageMakerAsyncStops an Inference Recommender job.
stopInferenceRecommendationsJobAsync in interface AmazonSageMakerAsyncpublic Future<StopInferenceRecommendationsJobResult> stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest request, AsyncHandler<StopInferenceRecommendationsJobRequest,StopInferenceRecommendationsJobResult> asyncHandler)
AmazonSageMakerAsyncStops an Inference Recommender job.
stopInferenceRecommendationsJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopLabelingJobResult> stopLabelingJobAsync(StopLabelingJobRequest request)
AmazonSageMakerAsyncStops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
stopLabelingJobAsync in interface AmazonSageMakerAsyncpublic Future<StopLabelingJobResult> stopLabelingJobAsync(StopLabelingJobRequest request, AsyncHandler<StopLabelingJobRequest,StopLabelingJobResult> asyncHandler)
AmazonSageMakerAsyncStops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
stopLabelingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopMlflowTrackingServerResult> stopMlflowTrackingServerAsync(StopMlflowTrackingServerRequest request)
AmazonSageMakerAsyncProgrammatically stop an MLflow Tracking Server.
stopMlflowTrackingServerAsync in interface AmazonSageMakerAsyncpublic Future<StopMlflowTrackingServerResult> stopMlflowTrackingServerAsync(StopMlflowTrackingServerRequest request, AsyncHandler<StopMlflowTrackingServerRequest,StopMlflowTrackingServerResult> asyncHandler)
AmazonSageMakerAsyncProgrammatically stop an MLflow Tracking Server.
stopMlflowTrackingServerAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopMonitoringScheduleResult> stopMonitoringScheduleAsync(StopMonitoringScheduleRequest request)
AmazonSageMakerAsyncStops a previously started monitoring schedule.
stopMonitoringScheduleAsync in interface AmazonSageMakerAsyncpublic Future<StopMonitoringScheduleResult> stopMonitoringScheduleAsync(StopMonitoringScheduleRequest request, AsyncHandler<StopMonitoringScheduleRequest,StopMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsyncStops a previously started monitoring schedule.
stopMonitoringScheduleAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopNotebookInstanceResult> stopNotebookInstanceAsync(StopNotebookInstanceRequest request)
AmazonSageMakerAsync
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume
from it. SageMaker preserves the ML storage volume. SageMaker stops charging you for the ML compute instance when
you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been terminated, call the
StartNotebookInstance API. StartNotebookInstance launches another ML compute instance,
configures it, and attaches the preserved ML storage volume so you can continue your work.
stopNotebookInstanceAsync in interface AmazonSageMakerAsyncpublic Future<StopNotebookInstanceResult> stopNotebookInstanceAsync(StopNotebookInstanceRequest request, AsyncHandler<StopNotebookInstanceRequest,StopNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsync
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume
from it. SageMaker preserves the ML storage volume. SageMaker stops charging you for the ML compute instance when
you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been terminated, call the
StartNotebookInstance API. StartNotebookInstance launches another ML compute instance,
configures it, and attaches the preserved ML storage volume so you can continue your work.
stopNotebookInstanceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopOptimizationJobResult> stopOptimizationJobAsync(StopOptimizationJobRequest request)
AmazonSageMakerAsyncEnds a running inference optimization job.
stopOptimizationJobAsync in interface AmazonSageMakerAsyncpublic Future<StopOptimizationJobResult> stopOptimizationJobAsync(StopOptimizationJobRequest request, AsyncHandler<StopOptimizationJobRequest,StopOptimizationJobResult> asyncHandler)
AmazonSageMakerAsyncEnds a running inference optimization job.
stopOptimizationJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopPipelineExecutionResult> stopPipelineExecutionAsync(StopPipelineExecutionRequest request)
AmazonSageMakerAsyncStops a pipeline execution.
Callback Step
A pipeline execution won't stop while a callback step is running. When you call
StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines
sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a
"Status" field which is set to "Stopping".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource
cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or
SendPipelineExecutionStepFailure.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the
lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the
pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then
stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is
hit the pipeline execution status is Failed.
stopPipelineExecutionAsync in interface AmazonSageMakerAsyncpublic Future<StopPipelineExecutionResult> stopPipelineExecutionAsync(StopPipelineExecutionRequest request, AsyncHandler<StopPipelineExecutionRequest,StopPipelineExecutionResult> asyncHandler)
AmazonSageMakerAsyncStops a pipeline execution.
Callback Step
A pipeline execution won't stop while a callback step is running. When you call
StopPipelineExecution on a pipeline execution with a running callback step, SageMaker Pipelines
sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a
"Status" field which is set to "Stopping".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource
cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess or
SendPipelineExecutionStepFailure.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the
lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the
pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then
stops. If the Lambda function finishes, the pipeline execution status is Stopped. If the timeout is
hit the pipeline execution status is Failed.
stopPipelineExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopProcessingJobResult> stopProcessingJobAsync(StopProcessingJobRequest request)
AmazonSageMakerAsyncStops a processing job.
stopProcessingJobAsync in interface AmazonSageMakerAsyncpublic Future<StopProcessingJobResult> stopProcessingJobAsync(StopProcessingJobRequest request, AsyncHandler<StopProcessingJobRequest,StopProcessingJobResult> asyncHandler)
AmazonSageMakerAsyncStops a processing job.
stopProcessingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopTrainingJobResult> stopTrainingJobAsync(StopTrainingJobRequest request)
AmazonSageMakerAsync
Stops a training job. To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays
job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the
results of the training is not lost.
When it receives a StopTrainingJob request, SageMaker changes the status of the job to
Stopping. After SageMaker stops the job, it sets the status to Stopped.
stopTrainingJobAsync in interface AmazonSageMakerAsyncpublic Future<StopTrainingJobResult> stopTrainingJobAsync(StopTrainingJobRequest request, AsyncHandler<StopTrainingJobRequest,StopTrainingJobResult> asyncHandler)
AmazonSageMakerAsync
Stops a training job. To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays
job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the
results of the training is not lost.
When it receives a StopTrainingJob request, SageMaker changes the status of the job to
Stopping. After SageMaker stops the job, it sets the status to Stopped.
stopTrainingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopTransformJobResult> stopTransformJobAsync(StopTransformJobRequest request)
AmazonSageMakerAsyncStops a batch transform job.
When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to
Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you
stop a batch transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
stopTransformJobAsync in interface AmazonSageMakerAsyncpublic Future<StopTransformJobResult> stopTransformJobAsync(StopTransformJobRequest request, AsyncHandler<StopTransformJobRequest,StopTransformJobResult> asyncHandler)
AmazonSageMakerAsyncStops a batch transform job.
When Amazon SageMaker receives a StopTransformJob request, the status of the job changes to
Stopping. After Amazon SageMaker stops the job, the status is set to Stopped. When you
stop a batch transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
stopTransformJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateActionResult> updateActionAsync(UpdateActionRequest request)
AmazonSageMakerAsyncUpdates an action.
updateActionAsync in interface AmazonSageMakerAsyncpublic Future<UpdateActionResult> updateActionAsync(UpdateActionRequest request, AsyncHandler<UpdateActionRequest,UpdateActionResult> asyncHandler)
AmazonSageMakerAsyncUpdates an action.
updateActionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateAppImageConfigResult> updateAppImageConfigAsync(UpdateAppImageConfigRequest request)
AmazonSageMakerAsyncUpdates the properties of an AppImageConfig.
updateAppImageConfigAsync in interface AmazonSageMakerAsyncpublic Future<UpdateAppImageConfigResult> updateAppImageConfigAsync(UpdateAppImageConfigRequest request, AsyncHandler<UpdateAppImageConfigRequest,UpdateAppImageConfigResult> asyncHandler)
AmazonSageMakerAsyncUpdates the properties of an AppImageConfig.
updateAppImageConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateArtifactResult> updateArtifactAsync(UpdateArtifactRequest request)
AmazonSageMakerAsyncUpdates an artifact.
updateArtifactAsync in interface AmazonSageMakerAsyncpublic Future<UpdateArtifactResult> updateArtifactAsync(UpdateArtifactRequest request, AsyncHandler<UpdateArtifactRequest,UpdateArtifactResult> asyncHandler)
AmazonSageMakerAsyncUpdates an artifact.
updateArtifactAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateClusterResult> updateClusterAsync(UpdateClusterRequest request)
AmazonSageMakerAsyncUpdates a SageMaker HyperPod cluster.
updateClusterAsync in interface AmazonSageMakerAsyncpublic Future<UpdateClusterResult> updateClusterAsync(UpdateClusterRequest request, AsyncHandler<UpdateClusterRequest,UpdateClusterResult> asyncHandler)
AmazonSageMakerAsyncUpdates a SageMaker HyperPod cluster.
updateClusterAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateClusterSoftwareResult> updateClusterSoftwareAsync(UpdateClusterSoftwareRequest request)
AmazonSageMakerAsyncUpdates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.
updateClusterSoftwareAsync in interface AmazonSageMakerAsyncpublic Future<UpdateClusterSoftwareResult> updateClusterSoftwareAsync(UpdateClusterSoftwareRequest request, AsyncHandler<UpdateClusterSoftwareRequest,UpdateClusterSoftwareResult> asyncHandler)
AmazonSageMakerAsyncUpdates the platform software of a SageMaker HyperPod cluster for security patching. To learn how to use this API, see Update the SageMaker HyperPod platform software of a cluster.
updateClusterSoftwareAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateCodeRepositoryResult> updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request)
AmazonSageMakerAsyncUpdates the specified Git repository with the specified values.
updateCodeRepositoryAsync in interface AmazonSageMakerAsyncpublic Future<UpdateCodeRepositoryResult> updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request, AsyncHandler<UpdateCodeRepositoryRequest,UpdateCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsyncUpdates the specified Git repository with the specified values.
updateCodeRepositoryAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateContextResult> updateContextAsync(UpdateContextRequest request)
AmazonSageMakerAsyncUpdates a context.
updateContextAsync in interface AmazonSageMakerAsyncpublic Future<UpdateContextResult> updateContextAsync(UpdateContextRequest request, AsyncHandler<UpdateContextRequest,UpdateContextResult> asyncHandler)
AmazonSageMakerAsyncUpdates a context.
updateContextAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDeviceFleetResult> updateDeviceFleetAsync(UpdateDeviceFleetRequest request)
AmazonSageMakerAsyncUpdates a fleet of devices.
updateDeviceFleetAsync in interface AmazonSageMakerAsyncpublic Future<UpdateDeviceFleetResult> updateDeviceFleetAsync(UpdateDeviceFleetRequest request, AsyncHandler<UpdateDeviceFleetRequest,UpdateDeviceFleetResult> asyncHandler)
AmazonSageMakerAsyncUpdates a fleet of devices.
updateDeviceFleetAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDevicesResult> updateDevicesAsync(UpdateDevicesRequest request)
AmazonSageMakerAsyncUpdates one or more devices in a fleet.
updateDevicesAsync in interface AmazonSageMakerAsyncpublic Future<UpdateDevicesResult> updateDevicesAsync(UpdateDevicesRequest request, AsyncHandler<UpdateDevicesRequest,UpdateDevicesResult> asyncHandler)
AmazonSageMakerAsyncUpdates one or more devices in a fleet.
updateDevicesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDomainResult> updateDomainAsync(UpdateDomainRequest request)
AmazonSageMakerAsyncUpdates the default settings for new user profiles in the domain.
updateDomainAsync in interface AmazonSageMakerAsyncpublic Future<UpdateDomainResult> updateDomainAsync(UpdateDomainRequest request, AsyncHandler<UpdateDomainRequest,UpdateDomainResult> asyncHandler)
AmazonSageMakerAsyncUpdates the default settings for new user profiles in the domain.
updateDomainAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateEndpointResult> updateEndpointAsync(UpdateEndpointRequest request)
AmazonSageMakerAsync
Deploys the EndpointConfig specified in the request to a new fleet of instances. SageMaker shifts
endpoint traffic to the new instances with the updated endpoint configuration and then deletes the old instances
using the previous EndpointConfig (there is no availability loss). For more information about how to
control the update and traffic shifting process, see Update models in
production.
When SageMaker receives the request, it sets the endpoint status to Updating. After updating the
endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint
API.
You must not delete an EndpointConfig in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
If you delete the EndpointConfig of an endpoint that is active or being created or updated you may
lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop
incurring charges.
updateEndpointAsync in interface AmazonSageMakerAsyncpublic Future<UpdateEndpointResult> updateEndpointAsync(UpdateEndpointRequest request, AsyncHandler<UpdateEndpointRequest,UpdateEndpointResult> asyncHandler)
AmazonSageMakerAsync
Deploys the EndpointConfig specified in the request to a new fleet of instances. SageMaker shifts
endpoint traffic to the new instances with the updated endpoint configuration and then deletes the old instances
using the previous EndpointConfig (there is no availability loss). For more information about how to
control the update and traffic shifting process, see Update models in
production.
When SageMaker receives the request, it sets the endpoint status to Updating. After updating the
endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint
API.
You must not delete an EndpointConfig in use by an endpoint that is live or while the
UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig.
If you delete the EndpointConfig of an endpoint that is active or being created or updated you may
lose visibility into the instance type the endpoint is using. The endpoint must be deleted in order to stop
incurring charges.
updateEndpointAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateEndpointWeightsAndCapacitiesResult> updateEndpointWeightsAndCapacitiesAsync(UpdateEndpointWeightsAndCapacitiesRequest request)
AmazonSageMakerAsync
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant
associated with an existing endpoint. When it receives the request, SageMaker sets the endpoint status to
Updating. After updating the endpoint, it sets the status to InService. To check the
status of an endpoint, use the DescribeEndpoint
API.
updateEndpointWeightsAndCapacitiesAsync in interface AmazonSageMakerAsyncpublic Future<UpdateEndpointWeightsAndCapacitiesResult> updateEndpointWeightsAndCapacitiesAsync(UpdateEndpointWeightsAndCapacitiesRequest request, AsyncHandler<UpdateEndpointWeightsAndCapacitiesRequest,UpdateEndpointWeightsAndCapacitiesResult> asyncHandler)
AmazonSageMakerAsync
Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant
associated with an existing endpoint. When it receives the request, SageMaker sets the endpoint status to
Updating. After updating the endpoint, it sets the status to InService. To check the
status of an endpoint, use the DescribeEndpoint
API.
updateEndpointWeightsAndCapacitiesAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateExperimentResult> updateExperimentAsync(UpdateExperimentRequest request)
AmazonSageMakerAsyncAdds, updates, or removes the description of an experiment. Updates the display name of an experiment.
updateExperimentAsync in interface AmazonSageMakerAsyncpublic Future<UpdateExperimentResult> updateExperimentAsync(UpdateExperimentRequest request, AsyncHandler<UpdateExperimentRequest,UpdateExperimentResult> asyncHandler)
AmazonSageMakerAsyncAdds, updates, or removes the description of an experiment. Updates the display name of an experiment.
updateExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateFeatureGroupResult> updateFeatureGroupAsync(UpdateFeatureGroupRequest request)
AmazonSageMakerAsync
Updates the feature group by either adding features or updating the online store configuration. Use one of the
following request parameters at a time while using the UpdateFeatureGroup API.
You can add features for your feature group using the FeatureAdditions request parameter. Features
cannot be removed from a feature group.
You can update the online store configuration by using the OnlineStoreConfig request parameter. If a
TtlDuration is specified, the default TtlDuration applies for all records added to the
feature group after the feature group is updated. If a record level TtlDuration exists from
using the PutRecord API, the record level TtlDuration applies to that record instead of
the default TtlDuration. To remove the default TtlDuration from an existing feature
group, use the UpdateFeatureGroup API and set the TtlDuration Unit and
Value to null.
updateFeatureGroupAsync in interface AmazonSageMakerAsyncpublic Future<UpdateFeatureGroupResult> updateFeatureGroupAsync(UpdateFeatureGroupRequest request, AsyncHandler<UpdateFeatureGroupRequest,UpdateFeatureGroupResult> asyncHandler)
AmazonSageMakerAsync
Updates the feature group by either adding features or updating the online store configuration. Use one of the
following request parameters at a time while using the UpdateFeatureGroup API.
You can add features for your feature group using the FeatureAdditions request parameter. Features
cannot be removed from a feature group.
You can update the online store configuration by using the OnlineStoreConfig request parameter. If a
TtlDuration is specified, the default TtlDuration applies for all records added to the
feature group after the feature group is updated. If a record level TtlDuration exists from
using the PutRecord API, the record level TtlDuration applies to that record instead of
the default TtlDuration. To remove the default TtlDuration from an existing feature
group, use the UpdateFeatureGroup API and set the TtlDuration Unit and
Value to null.
updateFeatureGroupAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateFeatureMetadataResult> updateFeatureMetadataAsync(UpdateFeatureMetadataRequest request)
AmazonSageMakerAsyncUpdates the description and parameters of the feature group.
updateFeatureMetadataAsync in interface AmazonSageMakerAsyncpublic Future<UpdateFeatureMetadataResult> updateFeatureMetadataAsync(UpdateFeatureMetadataRequest request, AsyncHandler<UpdateFeatureMetadataRequest,UpdateFeatureMetadataResult> asyncHandler)
AmazonSageMakerAsyncUpdates the description and parameters of the feature group.
updateFeatureMetadataAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateHubResult> updateHubAsync(UpdateHubRequest request)
AmazonSageMakerAsyncUpdate a hub.
updateHubAsync in interface AmazonSageMakerAsyncpublic Future<UpdateHubResult> updateHubAsync(UpdateHubRequest request, AsyncHandler<UpdateHubRequest,UpdateHubResult> asyncHandler)
AmazonSageMakerAsyncUpdate a hub.
updateHubAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateImageResult> updateImageAsync(UpdateImageRequest request)
AmazonSageMakerAsyncUpdates the properties of a SageMaker image. To change the image's tags, use the AddTags and DeleteTags APIs.
updateImageAsync in interface AmazonSageMakerAsyncpublic Future<UpdateImageResult> updateImageAsync(UpdateImageRequest request, AsyncHandler<UpdateImageRequest,UpdateImageResult> asyncHandler)
AmazonSageMakerAsyncUpdates the properties of a SageMaker image. To change the image's tags, use the AddTags and DeleteTags APIs.
updateImageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateImageVersionResult> updateImageVersionAsync(UpdateImageVersionRequest request)
AmazonSageMakerAsyncUpdates the properties of a SageMaker image version.
updateImageVersionAsync in interface AmazonSageMakerAsyncpublic Future<UpdateImageVersionResult> updateImageVersionAsync(UpdateImageVersionRequest request, AsyncHandler<UpdateImageVersionRequest,UpdateImageVersionResult> asyncHandler)
AmazonSageMakerAsyncUpdates the properties of a SageMaker image version.
updateImageVersionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateInferenceComponentResult> updateInferenceComponentAsync(UpdateInferenceComponentRequest request)
AmazonSageMakerAsyncUpdates an inference component.
updateInferenceComponentAsync in interface AmazonSageMakerAsyncpublic Future<UpdateInferenceComponentResult> updateInferenceComponentAsync(UpdateInferenceComponentRequest request, AsyncHandler<UpdateInferenceComponentRequest,UpdateInferenceComponentResult> asyncHandler)
AmazonSageMakerAsyncUpdates an inference component.
updateInferenceComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateInferenceComponentRuntimeConfigResult> updateInferenceComponentRuntimeConfigAsync(UpdateInferenceComponentRuntimeConfigRequest request)
AmazonSageMakerAsyncRuntime settings for a model that is deployed with an inference component.
updateInferenceComponentRuntimeConfigAsync in interface AmazonSageMakerAsyncpublic Future<UpdateInferenceComponentRuntimeConfigResult> updateInferenceComponentRuntimeConfigAsync(UpdateInferenceComponentRuntimeConfigRequest request, AsyncHandler<UpdateInferenceComponentRuntimeConfigRequest,UpdateInferenceComponentRuntimeConfigResult> asyncHandler)
AmazonSageMakerAsyncRuntime settings for a model that is deployed with an inference component.
updateInferenceComponentRuntimeConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateInferenceExperimentResult> updateInferenceExperimentAsync(UpdateInferenceExperimentRequest request)
AmazonSageMakerAsync
Updates an inference experiment that you created. The status of the inference experiment has to be either
Created, Running. For more information on the status of an inference experiment, see
DescribeInferenceExperiment.
updateInferenceExperimentAsync in interface AmazonSageMakerAsyncpublic Future<UpdateInferenceExperimentResult> updateInferenceExperimentAsync(UpdateInferenceExperimentRequest request, AsyncHandler<UpdateInferenceExperimentRequest,UpdateInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsync
Updates an inference experiment that you created. The status of the inference experiment has to be either
Created, Running. For more information on the status of an inference experiment, see
DescribeInferenceExperiment.
updateInferenceExperimentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateMlflowTrackingServerResult> updateMlflowTrackingServerAsync(UpdateMlflowTrackingServerRequest request)
AmazonSageMakerAsyncUpdates properties of an existing MLflow Tracking Server.
updateMlflowTrackingServerAsync in interface AmazonSageMakerAsyncpublic Future<UpdateMlflowTrackingServerResult> updateMlflowTrackingServerAsync(UpdateMlflowTrackingServerRequest request, AsyncHandler<UpdateMlflowTrackingServerRequest,UpdateMlflowTrackingServerResult> asyncHandler)
AmazonSageMakerAsyncUpdates properties of an existing MLflow Tracking Server.
updateMlflowTrackingServerAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateModelCardResult> updateModelCardAsync(UpdateModelCardRequest request)
AmazonSageMakerAsyncUpdate an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
updateModelCardAsync in interface AmazonSageMakerAsyncpublic Future<UpdateModelCardResult> updateModelCardAsync(UpdateModelCardRequest request, AsyncHandler<UpdateModelCardRequest,UpdateModelCardResult> asyncHandler)
AmazonSageMakerAsyncUpdate an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
updateModelCardAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateModelPackageResult> updateModelPackageAsync(UpdateModelPackageRequest request)
AmazonSageMakerAsyncUpdates a versioned model.
updateModelPackageAsync in interface AmazonSageMakerAsyncpublic Future<UpdateModelPackageResult> updateModelPackageAsync(UpdateModelPackageRequest request, AsyncHandler<UpdateModelPackageRequest,UpdateModelPackageResult> asyncHandler)
AmazonSageMakerAsyncUpdates a versioned model.
updateModelPackageAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateMonitoringAlertResult> updateMonitoringAlertAsync(UpdateMonitoringAlertRequest request)
AmazonSageMakerAsyncUpdate the parameters of a model monitor alert.
updateMonitoringAlertAsync in interface AmazonSageMakerAsyncpublic Future<UpdateMonitoringAlertResult> updateMonitoringAlertAsync(UpdateMonitoringAlertRequest request, AsyncHandler<UpdateMonitoringAlertRequest,UpdateMonitoringAlertResult> asyncHandler)
AmazonSageMakerAsyncUpdate the parameters of a model monitor alert.
updateMonitoringAlertAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateMonitoringScheduleResult> updateMonitoringScheduleAsync(UpdateMonitoringScheduleRequest request)
AmazonSageMakerAsyncUpdates a previously created schedule.
updateMonitoringScheduleAsync in interface AmazonSageMakerAsyncpublic Future<UpdateMonitoringScheduleResult> updateMonitoringScheduleAsync(UpdateMonitoringScheduleRequest request, AsyncHandler<UpdateMonitoringScheduleRequest,UpdateMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsyncUpdates a previously created schedule.
updateMonitoringScheduleAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateNotebookInstanceResult> updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request)
AmazonSageMakerAsyncUpdates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
updateNotebookInstanceAsync in interface AmazonSageMakerAsyncpublic Future<UpdateNotebookInstanceResult> updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request, AsyncHandler<UpdateNotebookInstanceRequest,UpdateNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsyncUpdates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
updateNotebookInstanceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateNotebookInstanceLifecycleConfigResult> updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsyncUpdates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
updateNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncpublic Future<UpdateNotebookInstanceLifecycleConfigResult> updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request, AsyncHandler<UpdateNotebookInstanceLifecycleConfigRequest,UpdateNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsyncUpdates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
updateNotebookInstanceLifecycleConfigAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdatePipelineResult> updatePipelineAsync(UpdatePipelineRequest request)
AmazonSageMakerAsyncUpdates a pipeline.
updatePipelineAsync in interface AmazonSageMakerAsyncpublic Future<UpdatePipelineResult> updatePipelineAsync(UpdatePipelineRequest request, AsyncHandler<UpdatePipelineRequest,UpdatePipelineResult> asyncHandler)
AmazonSageMakerAsyncUpdates a pipeline.
updatePipelineAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdatePipelineExecutionResult> updatePipelineExecutionAsync(UpdatePipelineExecutionRequest request)
AmazonSageMakerAsyncUpdates a pipeline execution.
updatePipelineExecutionAsync in interface AmazonSageMakerAsyncpublic Future<UpdatePipelineExecutionResult> updatePipelineExecutionAsync(UpdatePipelineExecutionRequest request, AsyncHandler<UpdatePipelineExecutionRequest,UpdatePipelineExecutionResult> asyncHandler)
AmazonSageMakerAsyncUpdates a pipeline execution.
updatePipelineExecutionAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateProjectResult> updateProjectAsync(UpdateProjectRequest request)
AmazonSageMakerAsyncUpdates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
You must not update a project that is in use. If you update the
ServiceCatalogProvisioningUpdateDetails of a project that is active or being created, or updated,
you may lose resources already created by the project.
updateProjectAsync in interface AmazonSageMakerAsyncpublic Future<UpdateProjectResult> updateProjectAsync(UpdateProjectRequest request, AsyncHandler<UpdateProjectRequest,UpdateProjectResult> asyncHandler)
AmazonSageMakerAsyncUpdates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
You must not update a project that is in use. If you update the
ServiceCatalogProvisioningUpdateDetails of a project that is active or being created, or updated,
you may lose resources already created by the project.
updateProjectAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateSpaceResult> updateSpaceAsync(UpdateSpaceRequest request)
AmazonSageMakerAsyncUpdates the settings of a space.
updateSpaceAsync in interface AmazonSageMakerAsyncpublic Future<UpdateSpaceResult> updateSpaceAsync(UpdateSpaceRequest request, AsyncHandler<UpdateSpaceRequest,UpdateSpaceResult> asyncHandler)
AmazonSageMakerAsyncUpdates the settings of a space.
updateSpaceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTrainingJobResult> updateTrainingJobAsync(UpdateTrainingJobRequest request)
AmazonSageMakerAsyncUpdate a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
updateTrainingJobAsync in interface AmazonSageMakerAsyncpublic Future<UpdateTrainingJobResult> updateTrainingJobAsync(UpdateTrainingJobRequest request, AsyncHandler<UpdateTrainingJobRequest,UpdateTrainingJobResult> asyncHandler)
AmazonSageMakerAsyncUpdate a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
updateTrainingJobAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTrialResult> updateTrialAsync(UpdateTrialRequest request)
AmazonSageMakerAsyncUpdates the display name of a trial.
updateTrialAsync in interface AmazonSageMakerAsyncpublic Future<UpdateTrialResult> updateTrialAsync(UpdateTrialRequest request, AsyncHandler<UpdateTrialRequest,UpdateTrialResult> asyncHandler)
AmazonSageMakerAsyncUpdates the display name of a trial.
updateTrialAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTrialComponentResult> updateTrialComponentAsync(UpdateTrialComponentRequest request)
AmazonSageMakerAsyncUpdates one or more properties of a trial component.
updateTrialComponentAsync in interface AmazonSageMakerAsyncpublic Future<UpdateTrialComponentResult> updateTrialComponentAsync(UpdateTrialComponentRequest request, AsyncHandler<UpdateTrialComponentRequest,UpdateTrialComponentResult> asyncHandler)
AmazonSageMakerAsyncUpdates one or more properties of a trial component.
updateTrialComponentAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateUserProfileResult> updateUserProfileAsync(UpdateUserProfileRequest request)
AmazonSageMakerAsyncUpdates a user profile.
updateUserProfileAsync in interface AmazonSageMakerAsyncpublic Future<UpdateUserProfileResult> updateUserProfileAsync(UpdateUserProfileRequest request, AsyncHandler<UpdateUserProfileRequest,UpdateUserProfileResult> asyncHandler)
AmazonSageMakerAsyncUpdates a user profile.
updateUserProfileAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateWorkforceResult> updateWorkforceAsync(UpdateWorkforceRequest request)
AmazonSageMakerAsyncUse this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
The worker portal is now supported in VPC and public internet.
Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You
specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't
restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks
using any IP address outside the specified range are denied and get a Not Found error message on the
worker portal.
To restrict access to all the workers in public internet, add the SourceIpConfig CIDR value as
"10.0.0.0/16".
Amazon SageMaker does not support Source Ip restriction for worker portals in VPC.
Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.
You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the DeleteWorkteam operation.
After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the DescribeWorkforce operation.
This operation only applies to private workforces.
updateWorkforceAsync in interface AmazonSageMakerAsyncpublic Future<UpdateWorkforceResult> updateWorkforceAsync(UpdateWorkforceRequest request, AsyncHandler<UpdateWorkforceRequest,UpdateWorkforceResult> asyncHandler)
AmazonSageMakerAsyncUse this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
The worker portal is now supported in VPC and public internet.
Use SourceIpConfig to restrict worker access to tasks to a specific range of IP addresses. You
specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't
restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks
using any IP address outside the specified range are denied and get a Not Found error message on the
worker portal.
To restrict access to all the workers in public internet, add the SourceIpConfig CIDR value as
"10.0.0.0/16".
Amazon SageMaker does not support Source Ip restriction for worker portals in VPC.
Use OidcConfig to update the configuration of a workforce created using your own OIDC IdP.
You can only update your OIDC IdP configuration when there are no work teams associated with your workforce. You can delete work teams using the DeleteWorkteam operation.
After restricting access to a range of IP addresses or updating your OIDC IdP configuration with this operation, you can view details about your update workforce using the DescribeWorkforce operation.
This operation only applies to private workforces.
updateWorkforceAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateWorkteamResult> updateWorkteamAsync(UpdateWorkteamRequest request)
AmazonSageMakerAsyncUpdates an existing work team with new member definitions or description.
updateWorkteamAsync in interface AmazonSageMakerAsyncpublic Future<UpdateWorkteamResult> updateWorkteamAsync(UpdateWorkteamRequest request, AsyncHandler<UpdateWorkteamRequest,UpdateWorkteamResult> asyncHandler)
AmazonSageMakerAsyncUpdates an existing work team with new member definitions or description.
updateWorkteamAsync in interface AmazonSageMakerAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.