@ThreadSafe @Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonSageMakerAsyncClient extends AmazonSageMakerClient implements AmazonSageMakerAsync
AsyncHandler
can be used to receive notification when
an asynchronous operation completes.
Provides APIs for creating and managing SageMaker resources.
Other Resources:
LOGGING_AWS_REQUEST_METRIC
ENDPOINT_PREFIX
addAssociation, addTags, associateTrialComponent, batchDescribeModelPackage, builder, createAction, createAlgorithm, createApp, createAppImageConfig, createArtifact, createAutoMLJob, createAutoMLJobV2, createCodeRepository, createCompilationJob, createContext, createDataQualityJobDefinition, createDeviceFleet, createDomain, createEdgeDeploymentPlan, createEdgeDeploymentStage, createEdgePackagingJob, createEndpoint, createEndpointConfig, createExperiment, createFeatureGroup, createFlowDefinition, createHub, createHumanTaskUi, createHyperParameterTuningJob, createImage, createImageVersion, createInferenceExperiment, createInferenceRecommendationsJob, createLabelingJob, createModel, createModelBiasJobDefinition, createModelCard, createModelCardExportJob, createModelExplainabilityJobDefinition, createModelPackage, createModelPackageGroup, createModelQualityJobDefinition, createMonitoringSchedule, createNotebookInstance, createNotebookInstanceLifecycleConfig, createPipeline, createPresignedDomainUrl, createPresignedNotebookInstanceUrl, createProcessingJob, createProject, createSpace, createStudioLifecycleConfig, createTrainingJob, createTransformJob, createTrial, createTrialComponent, createUserProfile, createWorkforce, createWorkteam, deleteAction, deleteAlgorithm, deleteApp, deleteAppImageConfig, deleteArtifact, deleteAssociation, deleteCodeRepository, deleteContext, deleteDataQualityJobDefinition, deleteDeviceFleet, deleteDomain, deleteEdgeDeploymentPlan, deleteEdgeDeploymentStage, deleteEndpoint, deleteEndpointConfig, deleteExperiment, deleteFeatureGroup, deleteFlowDefinition, deleteHub, deleteHubContent, deleteHumanTaskUi, deleteImage, deleteImageVersion, deleteInferenceExperiment, deleteModel, deleteModelBiasJobDefinition, deleteModelCard, deleteModelExplainabilityJobDefinition, deleteModelPackage, deleteModelPackageGroup, deleteModelPackageGroupPolicy, deleteModelQualityJobDefinition, deleteMonitoringSchedule, deleteNotebookInstance, deleteNotebookInstanceLifecycleConfig, deletePipeline, deleteProject, deleteSpace, deleteStudioLifecycleConfig, deleteTags, deleteTrial, deleteTrialComponent, deleteUserProfile, deleteWorkforce, deleteWorkteam, deregisterDevices, describeAction, describeAlgorithm, describeApp, describeAppImageConfig, describeArtifact, describeAutoMLJob, describeAutoMLJobV2, describeCodeRepository, describeCompilationJob, describeContext, describeDataQualityJobDefinition, describeDevice, describeDeviceFleet, describeDomain, describeEdgeDeploymentPlan, describeEdgePackagingJob, describeEndpoint, describeEndpointConfig, describeExperiment, describeFeatureGroup, describeFeatureMetadata, describeFlowDefinition, describeHub, describeHubContent, describeHumanTaskUi, describeHyperParameterTuningJob, describeImage, describeImageVersion, describeInferenceExperiment, describeInferenceRecommendationsJob, describeLabelingJob, describeLineageGroup, describeModel, describeModelBiasJobDefinition, describeModelCard, describeModelCardExportJob, describeModelExplainabilityJobDefinition, describeModelPackage, describeModelPackageGroup, describeModelQualityJobDefinition, describeMonitoringSchedule, describeNotebookInstance, describeNotebookInstanceLifecycleConfig, 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, listCodeRepositories, listCompilationJobs, listContexts, listDataQualityJobDefinitions, listDeviceFleets, listDevices, listDomains, listEdgeDeploymentPlans, listEdgePackagingJobs, listEndpointConfigs, listEndpoints, listExperiments, listFeatureGroups, listFlowDefinitions, listHubContents, listHubContentVersions, listHubs, listHumanTaskUis, listHyperParameterTuningJobs, listImages, listImageVersions, listInferenceExperiments, listInferenceRecommendationsJobs, listInferenceRecommendationsJobSteps, listLabelingJobs, listLabelingJobsForWorkteam, listLineageGroups, listModelBiasJobDefinitions, listModelCardExportJobs, listModelCards, listModelCardVersions, listModelExplainabilityJobDefinitions, listModelMetadata, listModelPackageGroups, listModelPackages, listModelQualityJobDefinitions, listModels, listMonitoringAlertHistory, listMonitoringAlerts, listMonitoringExecutions, listMonitoringSchedules, listNotebookInstanceLifecycleConfigs, listNotebookInstances, 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, startEdgeDeploymentStage, startInferenceExperiment, startMonitoringSchedule, startNotebookInstance, startPipelineExecution, stopAutoMLJob, stopCompilationJob, stopEdgeDeploymentStage, stopEdgePackagingJob, stopHyperParameterTuningJob, stopInferenceExperiment, stopInferenceRecommendationsJob, stopLabelingJob, stopMonitoringSchedule, stopNotebookInstance, stopPipelineExecution, stopProcessingJob, stopTrainingJob, stopTransformJob, updateAction, updateAppImageConfig, updateArtifact, updateCodeRepository, updateContext, updateDeviceFleet, updateDevices, updateDomain, updateEndpoint, updateEndpointWeightsAndCapacities, updateExperiment, updateFeatureGroup, updateFeatureMetadata, updateHub, updateImage, updateImageVersion, updateInferenceExperiment, updateModelCard, updateModelPackage, updateMonitoringAlert, updateMonitoringSchedule, updateNotebookInstance, updateNotebookInstanceLifecycleConfig, updatePipeline, updatePipelineExecution, updateProject, updateSpace, updateTrainingJob, updateTrial, updateTrialComponent, updateUserProfile, updateWorkforce, updateWorkteam, waiters
addRequestHandler, addRequestHandler, configureRegion, getClientConfiguration, getEndpointPrefix, getMonitoringListeners, getRequestMetricsCollector, getServiceName, getSignerByURI, getSignerOverride, getSignerRegionOverride, getTimeOffset, makeImmutable, removeRequestHandler, removeRequestHandler, setEndpoint, setEndpoint, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, withEndpoint, withRegion, withRegion, withTimeOffset
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
addAssociation, addTags, associateTrialComponent, batchDescribeModelPackage, createAction, createAlgorithm, createApp, createAppImageConfig, createArtifact, createAutoMLJob, createAutoMLJobV2, createCodeRepository, createCompilationJob, createContext, createDataQualityJobDefinition, createDeviceFleet, createDomain, createEdgeDeploymentPlan, createEdgeDeploymentStage, createEdgePackagingJob, createEndpoint, createEndpointConfig, createExperiment, createFeatureGroup, createFlowDefinition, createHub, createHumanTaskUi, createHyperParameterTuningJob, createImage, createImageVersion, createInferenceExperiment, createInferenceRecommendationsJob, createLabelingJob, createModel, createModelBiasJobDefinition, createModelCard, createModelCardExportJob, createModelExplainabilityJobDefinition, createModelPackage, createModelPackageGroup, createModelQualityJobDefinition, createMonitoringSchedule, createNotebookInstance, createNotebookInstanceLifecycleConfig, createPipeline, createPresignedDomainUrl, createPresignedNotebookInstanceUrl, createProcessingJob, createProject, createSpace, createStudioLifecycleConfig, createTrainingJob, createTransformJob, createTrial, createTrialComponent, createUserProfile, createWorkforce, createWorkteam, deleteAction, deleteAlgorithm, deleteApp, deleteAppImageConfig, deleteArtifact, deleteAssociation, deleteCodeRepository, deleteContext, deleteDataQualityJobDefinition, deleteDeviceFleet, deleteDomain, deleteEdgeDeploymentPlan, deleteEdgeDeploymentStage, deleteEndpoint, deleteEndpointConfig, deleteExperiment, deleteFeatureGroup, deleteFlowDefinition, deleteHub, deleteHubContent, deleteHumanTaskUi, deleteImage, deleteImageVersion, deleteInferenceExperiment, deleteModel, deleteModelBiasJobDefinition, deleteModelCard, deleteModelExplainabilityJobDefinition, deleteModelPackage, deleteModelPackageGroup, deleteModelPackageGroupPolicy, deleteModelQualityJobDefinition, deleteMonitoringSchedule, deleteNotebookInstance, deleteNotebookInstanceLifecycleConfig, deletePipeline, deleteProject, deleteSpace, deleteStudioLifecycleConfig, deleteTags, deleteTrial, deleteTrialComponent, deleteUserProfile, deleteWorkforce, deleteWorkteam, deregisterDevices, describeAction, describeAlgorithm, describeApp, describeAppImageConfig, describeArtifact, describeAutoMLJob, describeAutoMLJobV2, describeCodeRepository, describeCompilationJob, describeContext, describeDataQualityJobDefinition, describeDevice, describeDeviceFleet, describeDomain, describeEdgeDeploymentPlan, describeEdgePackagingJob, describeEndpoint, describeEndpointConfig, describeExperiment, describeFeatureGroup, describeFeatureMetadata, describeFlowDefinition, describeHub, describeHubContent, describeHumanTaskUi, describeHyperParameterTuningJob, describeImage, describeImageVersion, describeInferenceExperiment, describeInferenceRecommendationsJob, describeLabelingJob, describeLineageGroup, describeModel, describeModelBiasJobDefinition, describeModelCard, describeModelCardExportJob, describeModelExplainabilityJobDefinition, describeModelPackage, describeModelPackageGroup, describeModelQualityJobDefinition, describeMonitoringSchedule, describeNotebookInstance, describeNotebookInstanceLifecycleConfig, 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, listCodeRepositories, listCompilationJobs, listContexts, listDataQualityJobDefinitions, listDeviceFleets, listDevices, listDomains, listEdgeDeploymentPlans, listEdgePackagingJobs, listEndpointConfigs, listEndpoints, listExperiments, listFeatureGroups, listFlowDefinitions, listHubContents, listHubContentVersions, listHubs, listHumanTaskUis, listHyperParameterTuningJobs, listImages, listImageVersions, listInferenceExperiments, listInferenceRecommendationsJobs, listInferenceRecommendationsJobSteps, listLabelingJobs, listLabelingJobsForWorkteam, listLineageGroups, listModelBiasJobDefinitions, listModelCardExportJobs, listModelCards, listModelCardVersions, listModelExplainabilityJobDefinitions, listModelMetadata, listModelPackageGroups, listModelPackages, listModelQualityJobDefinitions, listModels, listMonitoringAlertHistory, listMonitoringAlerts, listMonitoringExecutions, listMonitoringSchedules, listNotebookInstanceLifecycleConfigs, listNotebookInstances, 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, startEdgeDeploymentStage, startInferenceExperiment, startMonitoringSchedule, startNotebookInstance, startPipelineExecution, stopAutoMLJob, stopCompilationJob, stopEdgeDeploymentStage, stopEdgePackagingJob, stopHyperParameterTuningJob, stopInferenceExperiment, stopInferenceRecommendationsJob, stopLabelingJob, stopMonitoringSchedule, stopNotebookInstance, stopPipelineExecution, stopProcessingJob, stopTrainingJob, stopTransformJob, updateAction, updateAppImageConfig, updateArtifact, updateCodeRepository, updateContext, updateDeviceFleet, updateDevices, updateDomain, updateEndpoint, updateEndpointWeightsAndCapacities, updateExperiment, updateFeatureGroup, updateFeatureMetadata, updateHub, updateImage, updateImageVersion, updateInferenceExperiment, updateModelCard, updateModelPackage, updateMonitoringAlert, updateMonitoringSchedule, updateNotebookInstance, updateNotebookInstanceLifecycleConfig, updatePipeline, updatePipelineExecution, updateProject, updateSpace, updateTrainingJob, updateTrial, updateTrialComponent, updateUserProfile, updateWorkforce, updateWorkteam, waiters
public static AmazonSageMakerAsyncClientBuilder asyncBuilder()
public ExecutorService getExecutorService()
public Future<AddAssociationResult> addAssociationAsync(AddAssociationRequest request)
AmazonSageMakerAsync
Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.
addAssociationAsync
in interface AmazonSageMakerAsync
public Future<AddAssociationResult> addAssociationAsync(AddAssociationRequest request, AsyncHandler<AddAssociationRequest,AddAssociationResult> asyncHandler)
AmazonSageMakerAsync
Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.
addAssociationAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<AddTagsResult> addTagsAsync(AddTagsRequest request)
AmazonSageMakerAsync
Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see Amazon Web Services Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the
hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter
tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter
tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you
first create the tuning job by specifying them in the Tags
parameter of CreateHyperParameterTuningJob
Tags that you add to a SageMaker Studio Domain or User Profile by calling this API are also added to any Apps
that the Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile
launched before you called this API. To make sure that the tags associated with a Domain or User Profile are also
added to all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User
Profile by specifying them in the Tags
parameter of CreateDomain or CreateUserProfile.
addTagsAsync
in interface AmazonSageMakerAsync
public Future<AddTagsResult> addTagsAsync(AddTagsRequest request, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
AmazonSageMakerAsync
Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see Amazon Web Services Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the
hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter
tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter
tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you
first create the tuning job by specifying them in the Tags
parameter of CreateHyperParameterTuningJob
Tags that you add to a SageMaker Studio Domain or User Profile by calling this API are also added to any Apps
that the Domain or User Profile launches after you call this API, but not to Apps that the Domain or User Profile
launched before you called this API. To make sure that the tags associated with a Domain or User Profile are also
added to all Apps that the Domain or User Profile launches, add the tags when you first create the Domain or User
Profile by specifying them in the Tags
parameter of CreateDomain or CreateUserProfile.
addTagsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<AssociateTrialComponentResult> associateTrialComponentAsync(AssociateTrialComponentRequest request)
AmazonSageMakerAsync
Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
associateTrialComponentAsync
in interface AmazonSageMakerAsync
public Future<AssociateTrialComponentResult> associateTrialComponentAsync(AssociateTrialComponentRequest request, AsyncHandler<AssociateTrialComponentRequest,AssociateTrialComponentResult> asyncHandler)
AmazonSageMakerAsync
Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
associateTrialComponentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<BatchDescribeModelPackageResult> batchDescribeModelPackageAsync(BatchDescribeModelPackageRequest request)
AmazonSageMakerAsync
This action batch describes a list of versioned model packages
batchDescribeModelPackageAsync
in interface AmazonSageMakerAsync
public Future<BatchDescribeModelPackageResult> batchDescribeModelPackageAsync(BatchDescribeModelPackageRequest request, AsyncHandler<BatchDescribeModelPackageRequest,BatchDescribeModelPackageResult> asyncHandler)
AmazonSageMakerAsync
This action batch describes a list of versioned model packages
batchDescribeModelPackageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateActionResult> createActionAsync(CreateActionRequest request)
AmazonSageMakerAsync
Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at least one input or output artifact. For more information, see Amazon SageMaker ML Lineage Tracking.
createActionAsync
in interface AmazonSageMakerAsync
public Future<CreateActionResult> createActionAsync(CreateActionRequest request, AsyncHandler<CreateActionRequest,CreateActionResult> asyncHandler)
AmazonSageMakerAsync
Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at least one input or output artifact. For more information, see Amazon SageMaker ML Lineage Tracking.
createActionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAlgorithmResult> createAlgorithmAsync(CreateAlgorithmRequest request)
AmazonSageMakerAsync
Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
createAlgorithmAsync
in interface AmazonSageMakerAsync
public Future<CreateAlgorithmResult> createAlgorithmAsync(CreateAlgorithmRequest request, AsyncHandler<CreateAlgorithmRequest,CreateAlgorithmResult> asyncHandler)
AmazonSageMakerAsync
Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.
createAlgorithmAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAppResult> createAppAsync(CreateAppRequest request)
AmazonSageMakerAsync
Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
createAppAsync
in interface AmazonSageMakerAsync
public Future<CreateAppResult> createAppAsync(CreateAppRequest request, AsyncHandler<CreateAppRequest,CreateAppResult> asyncHandler)
AmazonSageMakerAsync
Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously.
createAppAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAppImageConfigResult> createAppImageConfigAsync(CreateAppImageConfigRequest request)
AmazonSageMakerAsync
Creates a configuration for running a SageMaker image as a KernelGateway app. The configuration specifies the Amazon Elastic File System (EFS) storage volume on the image, and a list of the kernels in the image.
createAppImageConfigAsync
in interface AmazonSageMakerAsync
public Future<CreateAppImageConfigResult> createAppImageConfigAsync(CreateAppImageConfigRequest request, AsyncHandler<CreateAppImageConfigRequest,CreateAppImageConfigResult> asyncHandler)
AmazonSageMakerAsync
Creates a configuration for running a SageMaker image as a KernelGateway app. The configuration specifies the Amazon Elastic File System (EFS) storage volume on the image, and a list of the kernels in the image.
createAppImageConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateArtifactResult> createArtifactAsync(CreateArtifactRequest request)
AmazonSageMakerAsync
Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path of an image. For more information, see Amazon SageMaker ML Lineage Tracking.
createArtifactAsync
in interface AmazonSageMakerAsync
public Future<CreateArtifactResult> createArtifactAsync(CreateArtifactRequest request, AsyncHandler<CreateArtifactRequest,CreateArtifactResult> asyncHandler)
AmazonSageMakerAsync
Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path of an image. For more information, see Amazon SageMaker ML Lineage Tracking.
createArtifactAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAutoMLJobResult> createAutoMLJobAsync(CreateAutoMLJobRequest request)
AmazonSageMakerAsync
Creates 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 non-tabular problem types such as image or text classification.
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 AmazonSageMakerAsync
public Future<CreateAutoMLJobResult> createAutoMLJobAsync(CreateAutoMLJobRequest request, AsyncHandler<CreateAutoMLJobRequest,CreateAutoMLJobResult> asyncHandler)
AmazonSageMakerAsync
Creates 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 non-tabular problem types such as image or text classification.
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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateAutoMLJobV2Result> createAutoMLJobV2Async(CreateAutoMLJobV2Request request)
AmazonSageMakerAsync
Creates 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 non-tabular problem types such as image or text classification.
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 AmazonSageMakerAsync
public Future<CreateAutoMLJobV2Result> createAutoMLJobV2Async(CreateAutoMLJobV2Request request, AsyncHandler<CreateAutoMLJobV2Request,CreateAutoMLJobV2Result> asyncHandler)
AmazonSageMakerAsync
Creates 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 non-tabular problem types such as image or text classification.
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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateCodeRepositoryResult> createCodeRepositoryAsync(CreateCodeRepositoryRequest request)
AmazonSageMakerAsync
Creates 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 AmazonSageMakerAsync
public Future<CreateCodeRepositoryResult> createCodeRepositoryAsync(CreateCodeRepositoryRequest request, AsyncHandler<CreateCodeRepositoryRequest,CreateCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsync
Creates 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateCompilationJobResult> createCompilationJobAsync(CreateCompilationJobRequest request)
AmazonSageMakerAsync
Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with 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 AmazonSageMakerAsync
public Future<CreateCompilationJobResult> createCompilationJobAsync(CreateCompilationJobRequest request, AsyncHandler<CreateCompilationJobRequest,CreateCompilationJobResult> asyncHandler)
AmazonSageMakerAsync
Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateContextResult> createContextAsync(CreateContextRequest request)
AmazonSageMakerAsync
Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see Amazon SageMaker ML Lineage Tracking.
createContextAsync
in interface AmazonSageMakerAsync
public Future<CreateContextResult> createContextAsync(CreateContextRequest request, AsyncHandler<CreateContextRequest,CreateContextResult> asyncHandler)
AmazonSageMakerAsync
Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model package. For more information, see Amazon SageMaker ML Lineage Tracking.
createContextAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDataQualityJobDefinitionResult> createDataQualityJobDefinitionAsync(CreateDataQualityJobDefinitionRequest request)
AmazonSageMakerAsync
Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createDataQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<CreateDataQualityJobDefinitionResult> createDataQualityJobDefinitionAsync(CreateDataQualityJobDefinitionRequest request, AsyncHandler<CreateDataQualityJobDefinitionRequest,CreateDataQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createDataQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDeviceFleetResult> createDeviceFleetAsync(CreateDeviceFleetRequest request)
AmazonSageMakerAsync
Creates a device fleet.
createDeviceFleetAsync
in interface AmazonSageMakerAsync
public Future<CreateDeviceFleetResult> createDeviceFleetAsync(CreateDeviceFleetRequest request, AsyncHandler<CreateDeviceFleetRequest,CreateDeviceFleetResult> asyncHandler)
AmazonSageMakerAsync
Creates a device fleet.
createDeviceFleetAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateDomainResult> createDomainAsync(CreateDomainRequest request)
AmazonSageMakerAsync
Creates a Domain
used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic
File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon
Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts
with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For
other Studio traffic, you can specify the AppNetworkAccessType
parameter.
AppNetworkAccessType
corresponds to the network access type that you choose when you onboard to
Studio. The following options are available:
PublicInternetOnly
- Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows
internet access. This is the default value.
VpcOnly
- All Studio traffic is through the specified VPC and subnets. Internet access is disabled
by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to run a Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker API and runtime or a NAT gateway and your security groups allow outbound connections.
NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a SageMaker Studio app successfully.
For more information, see Connect SageMaker Studio Notebooks to Resources in a VPC.
createDomainAsync
in interface AmazonSageMakerAsync
public Future<CreateDomainResult> createDomainAsync(CreateDomainRequest request, AsyncHandler<CreateDomainRequest,CreateDomainResult> asyncHandler)
AmazonSageMakerAsync
Creates a Domain
used by Amazon SageMaker Studio. A domain consists of an associated Amazon Elastic
File System (EFS) volume, a list of authorized users, and a variety of security, application, policy, and Amazon
Virtual Private Cloud (VPC) configurations. Users within a domain can share notebook files and other artifacts
with each other.
EFS storage
When a domain is created, an EFS volume is created for use by all of the users within the domain. Each user receives a private home directory within the EFS volume for notebooks, Git repositories, and data files.
SageMaker uses the Amazon Web Services Key Management Service (Amazon Web Services KMS) to encrypt the EFS volume attached to the domain with an Amazon Web Services managed key by default. For more control, you can specify a customer managed key. For more information, see Protect Data at Rest Using Encryption.
VPC configuration
All SageMaker Studio traffic between the domain and the EFS volume is through the specified VPC and subnets. For
other Studio traffic, you can specify the AppNetworkAccessType
parameter.
AppNetworkAccessType
corresponds to the network access type that you choose when you onboard to
Studio. The following options are available:
PublicInternetOnly
- Non-EFS traffic goes through a VPC managed by Amazon SageMaker, which allows
internet access. This is the default value.
VpcOnly
- All Studio traffic is through the specified VPC and subnets. Internet access is disabled
by default. To allow internet access, you must specify a NAT gateway.
When internet access is disabled, you won't be able to run a Studio notebook or to train or host models unless your VPC has an interface endpoint to the SageMaker API and runtime or a NAT gateway and your security groups allow outbound connections.
NFS traffic over TCP on port 2049 needs to be allowed in both inbound and outbound rules in order to launch a SageMaker Studio app successfully.
For more information, see Connect SageMaker Studio Notebooks to Resources in a VPC.
createDomainAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEdgeDeploymentPlanResult> createEdgeDeploymentPlanAsync(CreateEdgeDeploymentPlanRequest request)
AmazonSageMakerAsync
Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.
createEdgeDeploymentPlanAsync
in interface AmazonSageMakerAsync
public Future<CreateEdgeDeploymentPlanResult> createEdgeDeploymentPlanAsync(CreateEdgeDeploymentPlanRequest request, AsyncHandler<CreateEdgeDeploymentPlanRequest,CreateEdgeDeploymentPlanResult> asyncHandler)
AmazonSageMakerAsync
Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices.
createEdgeDeploymentPlanAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEdgeDeploymentStageResult> createEdgeDeploymentStageAsync(CreateEdgeDeploymentStageRequest request)
AmazonSageMakerAsync
Creates a new stage in an existing edge deployment plan.
createEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
public Future<CreateEdgeDeploymentStageResult> createEdgeDeploymentStageAsync(CreateEdgeDeploymentStageRequest request, AsyncHandler<CreateEdgeDeploymentStageRequest,CreateEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsync
Creates a new stage in an existing edge deployment plan.
createEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEdgePackagingJobResult> createEdgePackagingJobAsync(CreateEdgePackagingJobRequest request)
AmazonSageMakerAsync
Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has been packaged, Amazon SageMaker saves the resulting artifacts to an S3 bucket that you specify.
createEdgePackagingJobAsync
in interface AmazonSageMakerAsync
public Future<CreateEdgePackagingJobResult> createEdgePackagingJobAsync(CreateEdgePackagingJobRequest request, AsyncHandler<CreateEdgePackagingJobRequest,CreateEdgePackagingJobResult> asyncHandler)
AmazonSageMakerAsync
Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has been packaged, Amazon SageMaker saves the resulting artifacts to an S3 bucket that you specify.
createEdgePackagingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateEndpointResult> createEndpointAsync(CreateEndpointRequest request)
AmazonSageMakerAsync
Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using SageMaker hosting services.
You must not delete an EndpointConfig
that is in use by an endpoint that is live or while the
UpdateEndpoint
or CreateEndpoint
operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig
.
The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.
When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a
load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a
DynamoDB table supporting
Eventually Consistent Reads
, the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call
DescribeEndpointConfig before calling CreateEndpoint to
minimize the potential impact of a DynamoDB eventually consistent read.
When SageMaker receives the request, it sets the endpoint status to Creating
. After it creates the
endpoint, it sets the status to InService
. SageMaker can then process incoming requests for
inferences. To check the status of an endpoint, use the DescribeEndpoint
API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.
Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess
policy.
Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:
"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]
"Resource": [
"arn:aws:sagemaker:region:account-id:endpoint/endpointName"
"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"
]
For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.
createEndpointAsync
in interface AmazonSageMakerAsync
public Future<CreateEndpointResult> createEndpointAsync(CreateEndpointRequest request, AsyncHandler<CreateEndpointRequest,CreateEndpointResult> asyncHandler)
AmazonSageMakerAsync
Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API to deploy models using SageMaker hosting services.
You must not delete an EndpointConfig
that is in use by an endpoint that is live or while the
UpdateEndpoint
or CreateEndpoint
operations are being performed on the endpoint. To
update an endpoint, you must create a new EndpointConfig
.
The endpoint name must be unique within an Amazon Web Services Region in your Amazon Web Services account.
When it receives the request, SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When you call CreateEndpoint, a
load call is made to DynamoDB to verify that your endpoint configuration exists. When you read data from a
DynamoDB table supporting
Eventually Consistent Reads
, the response might not reflect the results of a recently completed
write operation. The response might include some stale data. If the dependent entities are not yet in DynamoDB,
this causes a validation error. If you repeat your read request after a short time, the response should return
the latest data. So retry logic is recommended to handle these possible issues. We also recommend that customers
call
DescribeEndpointConfig before calling CreateEndpoint to
minimize the potential impact of a DynamoDB eventually consistent read.
When SageMaker receives the request, it sets the endpoint status to Creating
. After it creates the
endpoint, it sets the status to InService
. SageMaker can then process incoming requests for
inferences. To check the status of an endpoint, use the DescribeEndpoint
API.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provided. Amazon Web Services STS is activated in your Amazon Web Services account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.
To add the IAM role policies for using this API operation, go to the IAM console, and choose Roles in the left navigation pane. Search the IAM role that you want to grant access to use the CreateEndpoint and CreateEndpointConfig API operations, add the following policies to the role.
Option 1: For a full SageMaker access, search and attach the AmazonSageMakerFullAccess
policy.
Option 2: For granting a limited access to an IAM role, paste the following Action elements manually into the JSON file of the IAM role:
"Action": ["sagemaker:CreateEndpoint", "sagemaker:CreateEndpointConfig"]
"Resource": [
"arn:aws:sagemaker:region:account-id:endpoint/endpointName"
"arn:aws:sagemaker:region:account-id:endpoint-config/endpointConfigName"
]
For more information, see SageMaker API Permissions: Actions, Permissions, and Resources Reference.
createEndpointAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateExperimentResult> createExperimentAsync(CreateExperimentRequest request)
AmazonSageMakerAsync
Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description
parameter. To add a
description later, or to change the description, call the UpdateExperiment
API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
createExperimentAsync
in interface AmazonSageMakerAsync
public Future<CreateExperimentResult> createExperimentAsync(CreateExperimentRequest request, AsyncHandler<CreateExperimentRequest,CreateExperimentResult> asyncHandler)
AmazonSageMakerAsync
Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
In the Studio UI, trials are referred to as run groups and trial components are referred to as runs.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description
parameter. To add a
description later, or to change the description, call the UpdateExperiment
API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
createExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 FeatureGroup
s quota for your Amazon Web Services account.
You must include at least one of OnlineStoreConfig
and OfflineStoreConfig
to create a
FeatureGroup
.
createFeatureGroupAsync
in interface AmazonSageMakerAsync
public 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 FeatureGroup
s quota for your Amazon Web Services account.
You must include at least one of OnlineStoreConfig
and OfflineStoreConfig
to create a
FeatureGroup
.
createFeatureGroupAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateFlowDefinitionResult> createFlowDefinitionAsync(CreateFlowDefinitionRequest request)
AmazonSageMakerAsync
Creates a flow definition.
createFlowDefinitionAsync
in interface AmazonSageMakerAsync
public Future<CreateFlowDefinitionResult> createFlowDefinitionAsync(CreateFlowDefinitionRequest request, AsyncHandler<CreateFlowDefinitionRequest,CreateFlowDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Creates a flow definition.
createFlowDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHubResult> createHubAsync(CreateHubRequest request)
AmazonSageMakerAsync
Create a hub.
Hub APIs are only callable through SageMaker Studio.
createHubAsync
in interface AmazonSageMakerAsync
public Future<CreateHubResult> createHubAsync(CreateHubRequest request, AsyncHandler<CreateHubRequest,CreateHubResult> asyncHandler)
AmazonSageMakerAsync
Create a hub.
Hub APIs are only callable through SageMaker Studio.
createHubAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHumanTaskUiResult> createHumanTaskUiAsync(CreateHumanTaskUiRequest request)
AmazonSageMakerAsync
Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
createHumanTaskUiAsync
in interface AmazonSageMakerAsync
public Future<CreateHumanTaskUiResult> createHumanTaskUiAsync(CreateHumanTaskUiRequest request, AsyncHandler<CreateHumanTaskUiRequest,CreateHumanTaskUiResult> asyncHandler)
AmazonSageMakerAsync
Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
createHumanTaskUiAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateHyperParameterTuningJobResult> createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request)
AmazonSageMakerAsync
Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
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 AmazonSageMakerAsync
public Future<CreateHyperParameterTuningJobResult> createHyperParameterTuningJobAsync(CreateHyperParameterTuningJobRequest request, AsyncHandler<CreateHyperParameterTuningJobRequest,CreateHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsync
Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateImageResult> createImageAsync(CreateImageRequest request)
AmazonSageMakerAsync
Creates a custom SageMaker image. A SageMaker image is a set of image versions. Each image version represents a container image stored in Amazon Elastic Container Registry (ECR). For more information, see Bring your own SageMaker image.
createImageAsync
in interface AmazonSageMakerAsync
public Future<CreateImageResult> createImageAsync(CreateImageRequest request, AsyncHandler<CreateImageRequest,CreateImageResult> asyncHandler)
AmazonSageMakerAsync
Creates a custom SageMaker image. A SageMaker image is a set of image versions. Each image version represents a container image stored in Amazon Elastic Container Registry (ECR). For more information, see Bring your own SageMaker image.
createImageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateImageVersionResult> createImageVersionAsync(CreateImageVersionRequest request)
AmazonSageMakerAsync
Creates a version of the SageMaker image specified by ImageName
. The version represents the Amazon
Elastic Container Registry (ECR) container image specified by BaseImage
.
createImageVersionAsync
in interface AmazonSageMakerAsync
public 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
Elastic Container Registry (ECR) container image specified by BaseImage
.
createImageVersionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateInferenceExperimentResult> createInferenceExperimentAsync(CreateInferenceExperimentRequest request)
AmazonSageMakerAsync
Creates an inference experiment using the configurations specified in the request.
Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.
Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.
While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.
createInferenceExperimentAsync
in interface AmazonSageMakerAsync
public Future<CreateInferenceExperimentResult> createInferenceExperimentAsync(CreateInferenceExperimentRequest request, AsyncHandler<CreateInferenceExperimentRequest,CreateInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsync
Creates an inference experiment using the configurations specified in the request.
Use this API to setup and schedule an experiment to compare model variants on a Amazon SageMaker inference endpoint. For more information about inference experiments, see Shadow tests.
Amazon SageMaker begins your experiment at the scheduled time and routes traffic to your endpoint's model variants based on your specified configuration.
While the experiment is in progress or after it has concluded, you can view metrics that compare your model variants. For more information, see View, monitor, and edit shadow tests.
createInferenceExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateInferenceRecommendationsJobResult> createInferenceRecommendationsJobAsync(CreateInferenceRecommendationsJobRequest request)
AmazonSageMakerAsync
Starts a recommendation job. You can create either an instance recommendation or load test job.
createInferenceRecommendationsJobAsync
in interface AmazonSageMakerAsync
public Future<CreateInferenceRecommendationsJobResult> createInferenceRecommendationsJobAsync(CreateInferenceRecommendationsJobRequest request, AsyncHandler<CreateInferenceRecommendationsJobRequest,CreateInferenceRecommendationsJobResult> asyncHandler)
AmazonSageMakerAsync
Starts a recommendation job. You can create either an instance recommendation or load test job.
createInferenceRecommendationsJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateLabelingJobResult> createLabelingJobAsync(CreateLabelingJobRequest request)
AmazonSageMakerAsync
Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
You can select your workforce from one of three providers:
A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
One or more vendors that you select from the 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 AmazonSageMakerAsync
public Future<CreateLabelingJobResult> createLabelingJobAsync(CreateLabelingJobRequest request, AsyncHandler<CreateLabelingJobRequest,CreateLabelingJobResult> asyncHandler)
AmazonSageMakerAsync
Creates a job that uses workers to label the data objects in your input dataset. You can use the labeled data to train machine learning models.
You can select your workforce from one of three providers:
A private workforce that you create. It can include employees, contractors, and outside experts. Use a private workforce when want the data to stay within your organization or when a specific set of skills is required.
One or more vendors that you select from the 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelResult> createModelAsync(CreateModelRequest request)
AmazonSageMakerAsync
Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig
API, and then
create an endpoint with the CreateEndpoint
API. SageMaker then deploys all of the containers that
you defined for the model in the hosting environment.
For an example that calls this method when deploying a model to SageMaker hosting services, see Create a Model (Amazon Web Services SDK for Python (Boto 3)).
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 AmazonSageMakerAsync
public Future<CreateModelResult> createModelAsync(CreateModelRequest request, AsyncHandler<CreateModelRequest,CreateModelResult> asyncHandler)
AmazonSageMakerAsync
Creates a model in SageMaker. In the request, you name the model and describe a primary container. For the primary container, you specify the Docker image that contains inference code, artifacts (from prior training), and a custom environment map that the inference code uses when you deploy the model for predictions.
Use this API to create a model if you want to use SageMaker hosting services or run a batch transform job.
To host your model, you create an endpoint configuration with the CreateEndpointConfig
API, and then
create an endpoint with the CreateEndpoint
API. SageMaker then deploys all of the containers that
you defined for the model in the hosting environment.
For an example that calls this method when deploying a model to SageMaker hosting services, see Create a Model (Amazon Web Services SDK for Python (Boto 3)).
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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelBiasJobDefinitionResult> createModelBiasJobDefinitionAsync(CreateModelBiasJobDefinitionRequest request)
AmazonSageMakerAsync
Creates the definition for a model bias job.
createModelBiasJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<CreateModelBiasJobDefinitionResult> createModelBiasJobDefinitionAsync(CreateModelBiasJobDefinitionRequest request, AsyncHandler<CreateModelBiasJobDefinitionRequest,CreateModelBiasJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Creates the definition for a model bias job.
createModelBiasJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelCardResult> createModelCardAsync(CreateModelCardRequest request)
AmazonSageMakerAsync
Creates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
createModelCardAsync
in interface AmazonSageMakerAsync
public Future<CreateModelCardResult> createModelCardAsync(CreateModelCardRequest request, AsyncHandler<CreateModelCardRequest,CreateModelCardResult> asyncHandler)
AmazonSageMakerAsync
Creates an Amazon SageMaker Model Card.
For information about how to use model cards, see Amazon SageMaker Model Card.
createModelCardAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelCardExportJobResult> createModelCardExportJobAsync(CreateModelCardExportJobRequest request)
AmazonSageMakerAsync
Creates an Amazon SageMaker Model Card export job.
createModelCardExportJobAsync
in interface AmazonSageMakerAsync
public Future<CreateModelCardExportJobResult> createModelCardExportJobAsync(CreateModelCardExportJobRequest request, AsyncHandler<CreateModelCardExportJobRequest,CreateModelCardExportJobResult> asyncHandler)
AmazonSageMakerAsync
Creates an Amazon SageMaker Model Card export job.
createModelCardExportJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelExplainabilityJobDefinitionResult> createModelExplainabilityJobDefinitionAsync(CreateModelExplainabilityJobDefinitionRequest request)
AmazonSageMakerAsync
Creates the definition for a model explainability job.
createModelExplainabilityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<CreateModelExplainabilityJobDefinitionResult> createModelExplainabilityJobDefinitionAsync(CreateModelExplainabilityJobDefinitionRequest request, AsyncHandler<CreateModelExplainabilityJobDefinitionRequest,CreateModelExplainabilityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Creates the definition for a model explainability job.
createModelExplainabilityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelPackageResult> createModelPackageAsync(CreateModelPackageRequest request)
AmazonSageMakerAsync
Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3
location of your model artifacts, provide values for InferenceSpecification
. To create a model from
an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for
SourceAlgorithmSpecification
.
There are two types of model packages:
Versioned - a model that is part of a model group in the model registry.
Unversioned - a model package that is not part of a model group.
createModelPackageAsync
in interface AmazonSageMakerAsync
public Future<CreateModelPackageResult> createModelPackageAsync(CreateModelPackageRequest request, AsyncHandler<CreateModelPackageRequest,CreateModelPackageResult> asyncHandler)
AmazonSageMakerAsync
Creates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3
location of your model artifacts, provide values for InferenceSpecification
. To create a model from
an algorithm resource that you created or subscribed to in Amazon Web Services Marketplace, provide a value for
SourceAlgorithmSpecification
.
There are two types of model packages:
Versioned - a model that is part of a model group in the model registry.
Unversioned - a model package that is not part of a model group.
createModelPackageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelPackageGroupResult> createModelPackageGroupAsync(CreateModelPackageGroupRequest request)
AmazonSageMakerAsync
Creates a model group. A model group contains a group of model versions.
createModelPackageGroupAsync
in interface AmazonSageMakerAsync
public Future<CreateModelPackageGroupResult> createModelPackageGroupAsync(CreateModelPackageGroupRequest request, AsyncHandler<CreateModelPackageGroupRequest,CreateModelPackageGroupResult> asyncHandler)
AmazonSageMakerAsync
Creates a model group. A model group contains a group of model versions.
createModelPackageGroupAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateModelQualityJobDefinitionResult> createModelQualityJobDefinitionAsync(CreateModelQualityJobDefinitionRequest request)
AmazonSageMakerAsync
Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createModelQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<CreateModelQualityJobDefinitionResult> createModelQualityJobDefinitionAsync(CreateModelQualityJobDefinitionRequest request, AsyncHandler<CreateModelQualityJobDefinitionRequest,CreateModelQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Creates a definition for a job that monitors model quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor.
createModelQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateMonitoringScheduleResult> createMonitoringScheduleAsync(CreateMonitoringScheduleRequest request)
AmazonSageMakerAsync
Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.
createMonitoringScheduleAsync
in interface AmazonSageMakerAsync
public Future<CreateMonitoringScheduleResult> createMonitoringScheduleAsync(CreateMonitoringScheduleRequest request, AsyncHandler<CreateMonitoringScheduleRequest,CreateMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsync
Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endpoint.
createMonitoringScheduleAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateNotebookInstanceResult> createNotebookInstanceAsync(CreateNotebookInstanceRequest request)
AmazonSageMakerAsync
Creates 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 AmazonSageMakerAsync
public Future<CreateNotebookInstanceResult> createNotebookInstanceAsync(CreateNotebookInstanceRequest request, AsyncHandler<CreateNotebookInstanceRequest,CreateNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsync
Creates 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateNotebookInstanceLifecycleConfigResult> createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsync
Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH
environment variable that is available to both scripts is
/sbin:bin:/usr/sbin:/usr/bin
.
View CloudWatch Logs for notebook instance lifecycle configurations in log group
/aws/sagemaker/NotebookInstances
in log stream
[notebook-instance-name]/[LifecycleConfigHook]
.
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
createNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
public Future<CreateNotebookInstanceLifecycleConfigResult> createNotebookInstanceLifecycleConfigAsync(CreateNotebookInstanceLifecycleConfigRequest request, AsyncHandler<CreateNotebookInstanceLifecycleConfigRequest,CreateNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH
environment variable that is available to both scripts is
/sbin:bin:/usr/sbin:/usr/bin
.
View CloudWatch Logs for notebook instance lifecycle configurations in log group
/aws/sagemaker/NotebookInstances
in log stream
[notebook-instance-name]/[LifecycleConfigHook]
.
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
createNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePipelineResult> createPipelineAsync(CreatePipelineRequest request)
AmazonSageMakerAsync
Creates a pipeline using a JSON pipeline definition.
createPipelineAsync
in interface AmazonSageMakerAsync
public Future<CreatePipelineResult> createPipelineAsync(CreatePipelineRequest request, AsyncHandler<CreatePipelineRequest,CreatePipelineResult> asyncHandler)
AmazonSageMakerAsync
Creates a pipeline using a JSON pipeline definition.
createPipelineAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreatePresignedDomainUrlResult> createPresignedDomainUrlAsync(CreatePresignedDomainUrlRequest request)
AmazonSageMakerAsync
Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Studio, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume. This operation can only be called when the authentication mode equals IAM.
The IAM role or user 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 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 AmazonSageMakerAsync
public Future<CreatePresignedDomainUrlResult> createPresignedDomainUrlAsync(CreatePresignedDomainUrlRequest request, AsyncHandler<CreatePresignedDomainUrlRequest,CreatePresignedDomainUrlResult> asyncHandler)
AmazonSageMakerAsync
Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Studio, and granted access to all of the Apps and files associated with the Domain's Amazon Elastic File System (EFS) volume. This operation can only be called when the authentication mode equals IAM.
The IAM role or user 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 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateProcessingJobResult> createProcessingJobAsync(CreateProcessingJobRequest request)
AmazonSageMakerAsync
Creates a processing job.
createProcessingJobAsync
in interface AmazonSageMakerAsync
public Future<CreateProcessingJobResult> createProcessingJobAsync(CreateProcessingJobRequest request, AsyncHandler<CreateProcessingJobRequest,CreateProcessingJobResult> asyncHandler)
AmazonSageMakerAsync
Creates a processing job.
createProcessingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateProjectResult> createProjectAsync(CreateProjectRequest request)
AmazonSageMakerAsync
Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
createProjectAsync
in interface AmazonSageMakerAsync
public Future<CreateProjectResult> createProjectAsync(CreateProjectRequest request, AsyncHandler<CreateProjectRequest,CreateProjectResult> asyncHandler)
AmazonSageMakerAsync
Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
createProjectAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateSpaceResult> createSpaceAsync(CreateSpaceRequest request)
AmazonSageMakerAsync
Creates a space used for real time collaboration in a Domain.
createSpaceAsync
in interface AmazonSageMakerAsync
public Future<CreateSpaceResult> createSpaceAsync(CreateSpaceRequest request, AsyncHandler<CreateSpaceRequest,CreateSpaceResult> asyncHandler)
AmazonSageMakerAsync
Creates a space used for real time collaboration in a Domain.
createSpaceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateStudioLifecycleConfigResult> createStudioLifecycleConfigAsync(CreateStudioLifecycleConfigRequest request)
AmazonSageMakerAsync
Creates a new Studio Lifecycle Configuration.
createStudioLifecycleConfigAsync
in interface AmazonSageMakerAsync
public Future<CreateStudioLifecycleConfigResult> createStudioLifecycleConfigAsync(CreateStudioLifecycleConfigRequest request, AsyncHandler<CreateStudioLifecycleConfigRequest,CreateStudioLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Creates a new Studio Lifecycle Configuration.
createStudioLifecycleConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrainingJobResult> createTrainingJobAsync(CreateTrainingJobRequest request)
AmazonSageMakerAsync
Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification
- Identifies the training algorithm to use.
HyperParameters
- Specify these algorithm-specific parameters to enable the estimation of model
parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of
hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter 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 AmazonSageMakerAsync
public Future<CreateTrainingJobResult> createTrainingJobAsync(CreateTrainingJobRequest request, AsyncHandler<CreateTrainingJobRequest,CreateTrainingJobResult> asyncHandler)
AmazonSageMakerAsync
Starts a model training job. After training completes, SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than SageMaker, provided that you know how to use them for inference.
In the request body, you provide the following:
AlgorithmSpecification
- Identifies the training algorithm to use.
HyperParameters
- Specify these algorithm-specific parameters to enable the estimation of model
parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of
hyperparameters for each training algorithm provided by SageMaker, see Algorithms.
Do not include any security-sensitive information including account access IDs, secrets or tokens in any hyperparameter 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTransformJobResult> createTransformJobAsync(CreateTransformJobRequest request)
AmazonSageMakerAsync
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName
- Identifies the transform job. The name must be unique within an 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 AmazonSageMakerAsync
public Future<CreateTransformJobResult> createTransformJobAsync(CreateTransformJobRequest request, AsyncHandler<CreateTransformJobRequest,CreateTransformJobResult> asyncHandler)
AmazonSageMakerAsync
Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
TransformJobName
- Identifies the transform job. The name must be unique within an 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrialResult> createTrialAsync(CreateTrialRequest request)
AmazonSageMakerAsync
Creates an SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single SageMaker experiment.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
createTrialAsync
in interface AmazonSageMakerAsync
public Future<CreateTrialResult> createTrialAsync(CreateTrialRequest request, AsyncHandler<CreateTrialRequest,CreateTrialResult> asyncHandler)
AmazonSageMakerAsync
Creates an SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single SageMaker experiment.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
createTrialAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrialComponentResult> createTrialComponentAsync(CreateTrialComponentRequest request)
AmazonSageMakerAsync
Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
createTrialComponentAsync
in interface AmazonSageMakerAsync
public Future<CreateTrialComponentResult> createTrialComponentAsync(CreateTrialComponentRequest request, AsyncHandler<CreateTrialComponentRequest,CreateTrialComponentResult> asyncHandler)
AmazonSageMakerAsync
Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use SageMaker Studio or the SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the Amazon Web Services SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
createTrialComponentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateUserProfileResult> createUserProfileAsync(CreateUserProfileRequest request)
AmazonSageMakerAsync
Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from 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 (EFS) home directory.
createUserProfileAsync
in interface AmazonSageMakerAsync
public Future<CreateUserProfileResult> createUserProfileAsync(CreateUserProfileRequest request, AsyncHandler<CreateUserProfileRequest,CreateUserProfileResult> asyncHandler)
AmazonSageMakerAsync
Creates a user profile. A user profile represents a single user within a domain, and is the main way to reference a "person" for the purposes of sharing, reporting, and other user-oriented features. This entity is created when a user onboards to Amazon SageMaker Studio. If an administrator invites a person by email or imports them from 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 (EFS) home directory.
createUserProfileAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateWorkforceResult> createWorkforceAsync(CreateWorkforceRequest request)
AmazonSageMakerAsync
Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the
DeleteWorkforce
API operation to delete the existing workforce and then use CreateWorkforce
to create a new
workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in
CognitoConfig
. You can also create an Amazon Cognito workforce using the Amazon SageMaker console.
For more information, see Create a Private
Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in
OidcConfig
. Your OIDC IdP must support groups because groups are used by Ground Truth and
Amazon A2I to create work teams. For more information, see Create a Private
Workforce (OIDC IdP).
createWorkforceAsync
in interface AmazonSageMakerAsync
public Future<CreateWorkforceResult> createWorkforceAsync(CreateWorkforceRequest request, AsyncHandler<CreateWorkforceRequest,CreateWorkforceResult> asyncHandler)
AmazonSageMakerAsync
Use this operation to create a workforce. This operation will return an error if a workforce already exists in the Amazon Web Services Region that you specify. You can only create one workforce in each Amazon Web Services Region per Amazon Web Services account.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use the
DeleteWorkforce
API operation to delete the existing workforce and then use CreateWorkforce
to create a new
workforce.
To create a private workforce using Amazon Cognito, you must specify a Cognito user pool in
CognitoConfig
. You can also create an Amazon Cognito workforce using the Amazon SageMaker console.
For more information, see Create a Private
Workforce (Amazon Cognito).
To create a private workforce using your own OIDC Identity Provider (IdP), specify your IdP configuration in
OidcConfig
. Your OIDC IdP must support groups because groups are used by Ground Truth and
Amazon A2I to create work teams. For more information, see Create a Private
Workforce (OIDC IdP).
createWorkforceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateWorkteamResult> createWorkteamAsync(CreateWorkteamRequest request)
AmazonSageMakerAsync
Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
You cannot create more than 25 work teams in an account and region.
createWorkteamAsync
in interface AmazonSageMakerAsync
public Future<CreateWorkteamResult> createWorkteamAsync(CreateWorkteamRequest request, AsyncHandler<CreateWorkteamRequest,CreateWorkteamResult> asyncHandler)
AmazonSageMakerAsync
Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team.
You cannot create more than 25 work teams in an account and region.
createWorkteamAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteActionResult> deleteActionAsync(DeleteActionRequest request)
AmazonSageMakerAsync
Deletes an action.
deleteActionAsync
in interface AmazonSageMakerAsync
public Future<DeleteActionResult> deleteActionAsync(DeleteActionRequest request, AsyncHandler<DeleteActionRequest,DeleteActionResult> asyncHandler)
AmazonSageMakerAsync
Deletes an action.
deleteActionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAlgorithmResult> deleteAlgorithmAsync(DeleteAlgorithmRequest request)
AmazonSageMakerAsync
Removes the specified algorithm from your account.
deleteAlgorithmAsync
in interface AmazonSageMakerAsync
public Future<DeleteAlgorithmResult> deleteAlgorithmAsync(DeleteAlgorithmRequest request, AsyncHandler<DeleteAlgorithmRequest,DeleteAlgorithmResult> asyncHandler)
AmazonSageMakerAsync
Removes the specified algorithm from your account.
deleteAlgorithmAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAppResult> deleteAppAsync(DeleteAppRequest request)
AmazonSageMakerAsync
Used to stop and delete an app.
deleteAppAsync
in interface AmazonSageMakerAsync
public Future<DeleteAppResult> deleteAppAsync(DeleteAppRequest request, AsyncHandler<DeleteAppRequest,DeleteAppResult> asyncHandler)
AmazonSageMakerAsync
Used to stop and delete an app.
deleteAppAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAppImageConfigResult> deleteAppImageConfigAsync(DeleteAppImageConfigRequest request)
AmazonSageMakerAsync
Deletes an AppImageConfig.
deleteAppImageConfigAsync
in interface AmazonSageMakerAsync
public Future<DeleteAppImageConfigResult> deleteAppImageConfigAsync(DeleteAppImageConfigRequest request, AsyncHandler<DeleteAppImageConfigRequest,DeleteAppImageConfigResult> asyncHandler)
AmazonSageMakerAsync
Deletes an AppImageConfig.
deleteAppImageConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteArtifactResult> deleteArtifactAsync(DeleteArtifactRequest request)
AmazonSageMakerAsync
Deletes an artifact. Either ArtifactArn
or Source
must be specified.
deleteArtifactAsync
in interface AmazonSageMakerAsync
public Future<DeleteArtifactResult> deleteArtifactAsync(DeleteArtifactRequest request, AsyncHandler<DeleteArtifactRequest,DeleteArtifactResult> asyncHandler)
AmazonSageMakerAsync
Deletes an artifact. Either ArtifactArn
or Source
must be specified.
deleteArtifactAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAssociationResult> deleteAssociationAsync(DeleteAssociationRequest request)
AmazonSageMakerAsync
Deletes an association.
deleteAssociationAsync
in interface AmazonSageMakerAsync
public Future<DeleteAssociationResult> deleteAssociationAsync(DeleteAssociationRequest request, AsyncHandler<DeleteAssociationRequest,DeleteAssociationResult> asyncHandler)
AmazonSageMakerAsync
Deletes an association.
deleteAssociationAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteCodeRepositoryResult> deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request)
AmazonSageMakerAsync
Deletes the specified Git repository from your account.
deleteCodeRepositoryAsync
in interface AmazonSageMakerAsync
public Future<DeleteCodeRepositoryResult> deleteCodeRepositoryAsync(DeleteCodeRepositoryRequest request, AsyncHandler<DeleteCodeRepositoryRequest,DeleteCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsync
Deletes the specified Git repository from your account.
deleteCodeRepositoryAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteContextResult> deleteContextAsync(DeleteContextRequest request)
AmazonSageMakerAsync
Deletes an context.
deleteContextAsync
in interface AmazonSageMakerAsync
public Future<DeleteContextResult> deleteContextAsync(DeleteContextRequest request, AsyncHandler<DeleteContextRequest,DeleteContextResult> asyncHandler)
AmazonSageMakerAsync
Deletes an context.
deleteContextAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDataQualityJobDefinitionResult> deleteDataQualityJobDefinitionAsync(DeleteDataQualityJobDefinitionRequest request)
AmazonSageMakerAsync
Deletes a data quality monitoring job definition.
deleteDataQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DeleteDataQualityJobDefinitionResult> deleteDataQualityJobDefinitionAsync(DeleteDataQualityJobDefinitionRequest request, AsyncHandler<DeleteDataQualityJobDefinitionRequest,DeleteDataQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Deletes a data quality monitoring job definition.
deleteDataQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDeviceFleetResult> deleteDeviceFleetAsync(DeleteDeviceFleetRequest request)
AmazonSageMakerAsync
Deletes a fleet.
deleteDeviceFleetAsync
in interface AmazonSageMakerAsync
public Future<DeleteDeviceFleetResult> deleteDeviceFleetAsync(DeleteDeviceFleetRequest request, AsyncHandler<DeleteDeviceFleetRequest,DeleteDeviceFleetResult> asyncHandler)
AmazonSageMakerAsync
Deletes a fleet.
deleteDeviceFleetAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteDomainResult> deleteDomainAsync(DeleteDomainRequest request)
AmazonSageMakerAsync
Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
deleteDomainAsync
in interface AmazonSageMakerAsync
public Future<DeleteDomainResult> deleteDomainAsync(DeleteDomainRequest request, AsyncHandler<DeleteDomainRequest,DeleteDomainResult> asyncHandler)
AmazonSageMakerAsync
Used to delete a domain. If you onboarded with IAM mode, you will need to delete your domain to onboard again using IAM Identity Center. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
deleteDomainAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEdgeDeploymentPlanResult> deleteEdgeDeploymentPlanAsync(DeleteEdgeDeploymentPlanRequest request)
AmazonSageMakerAsync
Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
deleteEdgeDeploymentPlanAsync
in interface AmazonSageMakerAsync
public Future<DeleteEdgeDeploymentPlanResult> deleteEdgeDeploymentPlanAsync(DeleteEdgeDeploymentPlanRequest request, AsyncHandler<DeleteEdgeDeploymentPlanRequest,DeleteEdgeDeploymentPlanResult> asyncHandler)
AmazonSageMakerAsync
Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
deleteEdgeDeploymentPlanAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEdgeDeploymentStageResult> deleteEdgeDeploymentStageAsync(DeleteEdgeDeploymentStageRequest request)
AmazonSageMakerAsync
Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
deleteEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
public Future<DeleteEdgeDeploymentStageResult> deleteEdgeDeploymentStageAsync(DeleteEdgeDeploymentStageRequest request, AsyncHandler<DeleteEdgeDeploymentStageRequest,DeleteEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsync
Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
deleteEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteEndpointResult> deleteEndpointAsync(DeleteEndpointRequest request)
AmazonSageMakerAsync
Deletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.
SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key
grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do
not delete or revoke the permissions for your
ExecutionRoleArn
, otherwise SageMaker cannot delete these resources.
deleteEndpointAsync
in interface AmazonSageMakerAsync
public Future<DeleteEndpointResult> deleteEndpointAsync(DeleteEndpointRequest request, AsyncHandler<DeleteEndpointRequest,DeleteEndpointResult> asyncHandler)
AmazonSageMakerAsync
Deletes an endpoint. SageMaker frees up all of the resources that were deployed when the endpoint was created.
SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
When you delete your endpoint, SageMaker asynchronously deletes associated endpoint resources such as KMS key
grants. You might still see these resources in your account for a few minutes after deleting your endpoint. Do
not delete or revoke the permissions for your
ExecutionRoleArn
, otherwise SageMaker cannot delete these resources.
deleteEndpointAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteExperimentResult> deleteExperimentAsync(DeleteExperimentRequest request)
AmazonSageMakerAsync
Deletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
deleteExperimentAsync
in interface AmazonSageMakerAsync
public Future<DeleteExperimentResult> deleteExperimentAsync(DeleteExperimentRequest request, AsyncHandler<DeleteExperimentRequest,DeleteExperimentResult> asyncHandler)
AmazonSageMakerAsync
Deletes an SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
deleteExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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.
deleteFeatureGroupAsync
in interface AmazonSageMakerAsync
public 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.
deleteFeatureGroupAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteFlowDefinitionResult> deleteFlowDefinitionAsync(DeleteFlowDefinitionRequest request)
AmazonSageMakerAsync
Deletes the specified flow definition.
deleteFlowDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DeleteFlowDefinitionResult> deleteFlowDefinitionAsync(DeleteFlowDefinitionRequest request, AsyncHandler<DeleteFlowDefinitionRequest,DeleteFlowDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Deletes the specified flow definition.
deleteFlowDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHubResult> deleteHubAsync(DeleteHubRequest request)
AmazonSageMakerAsync
Delete a hub.
Hub APIs are only callable through SageMaker Studio.
deleteHubAsync
in interface AmazonSageMakerAsync
public Future<DeleteHubResult> deleteHubAsync(DeleteHubRequest request, AsyncHandler<DeleteHubRequest,DeleteHubResult> asyncHandler)
AmazonSageMakerAsync
Delete a hub.
Hub APIs are only callable through SageMaker Studio.
deleteHubAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHubContentResult> deleteHubContentAsync(DeleteHubContentRequest request)
AmazonSageMakerAsync
Delete the contents of a hub.
Hub APIs are only callable through SageMaker Studio.
deleteHubContentAsync
in interface AmazonSageMakerAsync
public Future<DeleteHubContentResult> deleteHubContentAsync(DeleteHubContentRequest request, AsyncHandler<DeleteHubContentRequest,DeleteHubContentResult> asyncHandler)
AmazonSageMakerAsync
Delete the contents of a hub.
Hub APIs are only callable through SageMaker Studio.
deleteHubContentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteHumanTaskUiResult> deleteHumanTaskUiAsync(DeleteHumanTaskUiRequest request)
AmazonSageMakerAsync
Use this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis.
When you delete a worker task template, it no longer appears when you call ListHumanTaskUis
.
deleteHumanTaskUiAsync
in interface AmazonSageMakerAsync
public Future<DeleteHumanTaskUiResult> deleteHumanTaskUiAsync(DeleteHumanTaskUiRequest request, AsyncHandler<DeleteHumanTaskUiRequest,DeleteHumanTaskUiResult> asyncHandler)
AmazonSageMakerAsync
Use this operation to delete a human task user interface (worker task template).
To see a list of human task user interfaces (work task templates) in your account, use ListHumanTaskUis.
When you delete a worker task template, it no longer appears when you call ListHumanTaskUis
.
deleteHumanTaskUiAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteImageResult> deleteImageAsync(DeleteImageRequest request)
AmazonSageMakerAsync
Deletes a SageMaker image and all versions of the image. The container images aren't deleted.
deleteImageAsync
in interface AmazonSageMakerAsync
public Future<DeleteImageResult> deleteImageAsync(DeleteImageRequest request, AsyncHandler<DeleteImageRequest,DeleteImageResult> asyncHandler)
AmazonSageMakerAsync
Deletes a SageMaker image and all versions of the image. The container images aren't deleted.
deleteImageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteImageVersionResult> deleteImageVersionAsync(DeleteImageVersionRequest request)
AmazonSageMakerAsync
Deletes a version of a SageMaker image. The container image the version represents isn't deleted.
deleteImageVersionAsync
in interface AmazonSageMakerAsync
public Future<DeleteImageVersionResult> deleteImageVersionAsync(DeleteImageVersionRequest request, AsyncHandler<DeleteImageVersionRequest,DeleteImageVersionResult> asyncHandler)
AmazonSageMakerAsync
Deletes a version of a SageMaker image. The container image the version represents isn't deleted.
deleteImageVersionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteInferenceExperimentResult> deleteInferenceExperimentAsync(DeleteInferenceExperimentRequest request)
AmazonSageMakerAsync
Deletes an inference experiment.
This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.
deleteInferenceExperimentAsync
in interface AmazonSageMakerAsync
public Future<DeleteInferenceExperimentResult> deleteInferenceExperimentAsync(DeleteInferenceExperimentRequest request, AsyncHandler<DeleteInferenceExperimentRequest,DeleteInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsync
Deletes an inference experiment.
This operation does not delete your endpoint, variants, or any underlying resources. This operation only deletes the metadata of your experiment.
deleteInferenceExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelBiasJobDefinitionResult> deleteModelBiasJobDefinitionAsync(DeleteModelBiasJobDefinitionRequest request)
AmazonSageMakerAsync
Deletes an Amazon SageMaker model bias job definition.
deleteModelBiasJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelBiasJobDefinitionResult> deleteModelBiasJobDefinitionAsync(DeleteModelBiasJobDefinitionRequest request, AsyncHandler<DeleteModelBiasJobDefinitionRequest,DeleteModelBiasJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Deletes an Amazon SageMaker model bias job definition.
deleteModelBiasJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelCardResult> deleteModelCardAsync(DeleteModelCardRequest request)
AmazonSageMakerAsync
Deletes an Amazon SageMaker Model Card.
deleteModelCardAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelCardResult> deleteModelCardAsync(DeleteModelCardRequest request, AsyncHandler<DeleteModelCardRequest,DeleteModelCardResult> asyncHandler)
AmazonSageMakerAsync
Deletes an Amazon SageMaker Model Card.
deleteModelCardAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelExplainabilityJobDefinitionResult> deleteModelExplainabilityJobDefinitionAsync(DeleteModelExplainabilityJobDefinitionRequest request)
AmazonSageMakerAsync
Deletes an Amazon SageMaker model explainability job definition.
deleteModelExplainabilityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelExplainabilityJobDefinitionResult> deleteModelExplainabilityJobDefinitionAsync(DeleteModelExplainabilityJobDefinitionRequest request, AsyncHandler<DeleteModelExplainabilityJobDefinitionRequest,DeleteModelExplainabilityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Deletes an Amazon SageMaker model explainability job definition.
deleteModelExplainabilityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelPackageResult> deleteModelPackageAsync(DeleteModelPackageRequest request)
AmazonSageMakerAsync
Deletes a model package.
A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
deleteModelPackageAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelPackageResult> deleteModelPackageAsync(DeleteModelPackageRequest request, AsyncHandler<DeleteModelPackageRequest,DeleteModelPackageResult> asyncHandler)
AmazonSageMakerAsync
Deletes a model package.
A model package is used to create SageMaker models or list on Amazon Web Services Marketplace. Buyers can subscribe to model packages listed on Amazon Web Services Marketplace to create models in SageMaker.
deleteModelPackageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelPackageGroupResult> deleteModelPackageGroupAsync(DeleteModelPackageGroupRequest request)
AmazonSageMakerAsync
Deletes the specified model group.
deleteModelPackageGroupAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelPackageGroupResult> deleteModelPackageGroupAsync(DeleteModelPackageGroupRequest request, AsyncHandler<DeleteModelPackageGroupRequest,DeleteModelPackageGroupResult> asyncHandler)
AmazonSageMakerAsync
Deletes the specified model group.
deleteModelPackageGroupAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelPackageGroupPolicyResult> deleteModelPackageGroupPolicyAsync(DeleteModelPackageGroupPolicyRequest request)
AmazonSageMakerAsync
Deletes a model group resource policy.
deleteModelPackageGroupPolicyAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelPackageGroupPolicyResult> deleteModelPackageGroupPolicyAsync(DeleteModelPackageGroupPolicyRequest request, AsyncHandler<DeleteModelPackageGroupPolicyRequest,DeleteModelPackageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsync
Deletes a model group resource policy.
deleteModelPackageGroupPolicyAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteModelQualityJobDefinitionResult> deleteModelQualityJobDefinitionAsync(DeleteModelQualityJobDefinitionRequest request)
AmazonSageMakerAsync
Deletes the secified model quality monitoring job definition.
deleteModelQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DeleteModelQualityJobDefinitionResult> deleteModelQualityJobDefinitionAsync(DeleteModelQualityJobDefinitionRequest request, AsyncHandler<DeleteModelQualityJobDefinitionRequest,DeleteModelQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Deletes the secified model quality monitoring job definition.
deleteModelQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteMonitoringScheduleResult> deleteMonitoringScheduleAsync(DeleteMonitoringScheduleRequest request)
AmazonSageMakerAsync
Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
deleteMonitoringScheduleAsync
in interface AmazonSageMakerAsync
public Future<DeleteMonitoringScheduleResult> deleteMonitoringScheduleAsync(DeleteMonitoringScheduleRequest request, AsyncHandler<DeleteMonitoringScheduleRequest,DeleteMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsync
Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
deleteMonitoringScheduleAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteNotebookInstanceLifecycleConfigResult> deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsync
Deletes a notebook instance lifecycle configuration.
deleteNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
public Future<DeleteNotebookInstanceLifecycleConfigResult> deleteNotebookInstanceLifecycleConfigAsync(DeleteNotebookInstanceLifecycleConfigRequest request, AsyncHandler<DeleteNotebookInstanceLifecycleConfigRequest,DeleteNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Deletes a notebook instance lifecycle configuration.
deleteNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteProjectResult> deleteProjectAsync(DeleteProjectRequest request)
AmazonSageMakerAsync
Delete the specified project.
deleteProjectAsync
in interface AmazonSageMakerAsync
public Future<DeleteProjectResult> deleteProjectAsync(DeleteProjectRequest request, AsyncHandler<DeleteProjectRequest,DeleteProjectResult> asyncHandler)
AmazonSageMakerAsync
Delete the specified project.
deleteProjectAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteSpaceResult> deleteSpaceAsync(DeleteSpaceRequest request)
AmazonSageMakerAsync
Used to delete a space.
deleteSpaceAsync
in interface AmazonSageMakerAsync
public Future<DeleteSpaceResult> deleteSpaceAsync(DeleteSpaceRequest request, AsyncHandler<DeleteSpaceRequest,DeleteSpaceResult> asyncHandler)
AmazonSageMakerAsync
Used to delete a space.
deleteSpaceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteStudioLifecycleConfigResult> deleteStudioLifecycleConfigAsync(DeleteStudioLifecycleConfigRequest request)
AmazonSageMakerAsync
Deletes the 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 AmazonSageMakerAsync
public Future<DeleteStudioLifecycleConfigResult> deleteStudioLifecycleConfigAsync(DeleteStudioLifecycleConfigRequest request, AsyncHandler<DeleteStudioLifecycleConfigRequest,DeleteStudioLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Deletes the 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTagsResult> deleteTagsAsync(DeleteTagsRequest request)
AmazonSageMakerAsync
Deletes the specified tags from an SageMaker resource.
To list a resource's tags, use the ListTags
API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
When you call this API to delete tags from a SageMaker Studio Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Studio Domain or User Profile launched before you called this API.
deleteTagsAsync
in interface AmazonSageMakerAsync
public Future<DeleteTagsResult> deleteTagsAsync(DeleteTagsRequest request, AsyncHandler<DeleteTagsRequest,DeleteTagsResult> asyncHandler)
AmazonSageMakerAsync
Deletes the specified tags from an SageMaker resource.
To list a resource's tags, use the ListTags
API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
When you call this API to delete tags from a SageMaker Studio Domain or User Profile, the deleted tags are not removed from Apps that the SageMaker Studio Domain or User Profile launched before you called this API.
deleteTagsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTrialResult> deleteTrialAsync(DeleteTrialRequest request)
AmazonSageMakerAsync
Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
deleteTrialAsync
in interface AmazonSageMakerAsync
public Future<DeleteTrialResult> deleteTrialAsync(DeleteTrialRequest request, AsyncHandler<DeleteTrialRequest,DeleteTrialResult> asyncHandler)
AmazonSageMakerAsync
Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
deleteTrialAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTrialComponentResult> deleteTrialComponentAsync(DeleteTrialComponentRequest request)
AmazonSageMakerAsync
Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
deleteTrialComponentAsync
in interface AmazonSageMakerAsync
public Future<DeleteTrialComponentResult> deleteTrialComponentAsync(DeleteTrialComponentRequest request, AsyncHandler<DeleteTrialComponentRequest,DeleteTrialComponentResult> asyncHandler)
AmazonSageMakerAsync
Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
deleteTrialComponentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteUserProfileResult> deleteUserProfileAsync(DeleteUserProfileRequest request)
AmazonSageMakerAsync
Deletes 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 AmazonSageMakerAsync
public Future<DeleteUserProfileResult> deleteUserProfileAsync(DeleteUserProfileRequest request, AsyncHandler<DeleteUserProfileRequest,DeleteUserProfileResult> asyncHandler)
AmazonSageMakerAsync
Deletes 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteWorkforceResult> deleteWorkforceAsync(DeleteWorkforceRequest request)
AmazonSageMakerAsync
Use this operation to delete a workforce.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
If a private workforce contains one or more work teams, you must use the DeleteWorkteam
operation to delete all work teams before you delete the workforce. If you try to delete a workforce that
contains one or more work teams, you will recieve a ResourceInUse
error.
deleteWorkforceAsync
in interface AmazonSageMakerAsync
public Future<DeleteWorkforceResult> deleteWorkforceAsync(DeleteWorkforceRequest request, AsyncHandler<DeleteWorkforceRequest,DeleteWorkforceResult> asyncHandler)
AmazonSageMakerAsync
Use this operation to delete a workforce.
If you want to create a new workforce in an Amazon Web Services Region where a workforce already exists, use this operation to delete the existing workforce and then use CreateWorkforce to create a new workforce.
If a private workforce contains one or more work teams, you must use the DeleteWorkteam
operation to delete all work teams before you delete the workforce. If you try to delete a workforce that
contains one or more work teams, you will recieve a ResourceInUse
error.
deleteWorkforceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteWorkteamResult> deleteWorkteamAsync(DeleteWorkteamRequest request)
AmazonSageMakerAsync
Deletes an existing work team. This operation can't be undone.
deleteWorkteamAsync
in interface AmazonSageMakerAsync
public Future<DeleteWorkteamResult> deleteWorkteamAsync(DeleteWorkteamRequest request, AsyncHandler<DeleteWorkteamRequest,DeleteWorkteamResult> asyncHandler)
AmazonSageMakerAsync
Deletes an existing work team. This operation can't be undone.
deleteWorkteamAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeregisterDevicesResult> deregisterDevicesAsync(DeregisterDevicesRequest request)
AmazonSageMakerAsync
Deregisters the specified devices. After you deregister a device, you will need to re-register the devices.
deregisterDevicesAsync
in interface AmazonSageMakerAsync
public Future<DeregisterDevicesResult> deregisterDevicesAsync(DeregisterDevicesRequest request, AsyncHandler<DeregisterDevicesRequest,DeregisterDevicesResult> asyncHandler)
AmazonSageMakerAsync
Deregisters the specified devices. After you deregister a device, you will need to re-register the devices.
deregisterDevicesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeActionResult> describeActionAsync(DescribeActionRequest request)
AmazonSageMakerAsync
Describes an action.
describeActionAsync
in interface AmazonSageMakerAsync
public Future<DescribeActionResult> describeActionAsync(DescribeActionRequest request, AsyncHandler<DescribeActionRequest,DescribeActionResult> asyncHandler)
AmazonSageMakerAsync
Describes an action.
describeActionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request)
AmazonSageMakerAsync
Returns a description of the specified algorithm that is in your account.
describeAlgorithmAsync
in interface AmazonSageMakerAsync
public Future<DescribeAlgorithmResult> describeAlgorithmAsync(DescribeAlgorithmRequest request, AsyncHandler<DescribeAlgorithmRequest,DescribeAlgorithmResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of the specified algorithm that is in your account.
describeAlgorithmAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAppResult> describeAppAsync(DescribeAppRequest request)
AmazonSageMakerAsync
Describes the app.
describeAppAsync
in interface AmazonSageMakerAsync
public Future<DescribeAppResult> describeAppAsync(DescribeAppRequest request, AsyncHandler<DescribeAppRequest,DescribeAppResult> asyncHandler)
AmazonSageMakerAsync
Describes the app.
describeAppAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAppImageConfigResult> describeAppImageConfigAsync(DescribeAppImageConfigRequest request)
AmazonSageMakerAsync
Describes an AppImageConfig.
describeAppImageConfigAsync
in interface AmazonSageMakerAsync
public Future<DescribeAppImageConfigResult> describeAppImageConfigAsync(DescribeAppImageConfigRequest request, AsyncHandler<DescribeAppImageConfigRequest,DescribeAppImageConfigResult> asyncHandler)
AmazonSageMakerAsync
Describes an AppImageConfig.
describeAppImageConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeArtifactResult> describeArtifactAsync(DescribeArtifactRequest request)
AmazonSageMakerAsync
Describes an artifact.
describeArtifactAsync
in interface AmazonSageMakerAsync
public Future<DescribeArtifactResult> describeArtifactAsync(DescribeArtifactRequest request, AsyncHandler<DescribeArtifactRequest,DescribeArtifactResult> asyncHandler)
AmazonSageMakerAsync
Describes an artifact.
describeArtifactAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAutoMLJobResult> describeAutoMLJobAsync(DescribeAutoMLJobRequest request)
AmazonSageMakerAsync
Returns information about an AutoML job created by calling CreateAutoMLJob.
AutoML jobs created by calling CreateAutoMLJobV2
cannot be described by DescribeAutoMLJob
.
describeAutoMLJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeAutoMLJobResult> describeAutoMLJobAsync(DescribeAutoMLJobRequest request, AsyncHandler<DescribeAutoMLJobRequest,DescribeAutoMLJobResult> asyncHandler)
AmazonSageMakerAsync
Returns information about an AutoML job created by calling CreateAutoMLJob.
AutoML jobs created by calling CreateAutoMLJobV2
cannot be described by DescribeAutoMLJob
.
describeAutoMLJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeAutoMLJobV2Result> describeAutoMLJobV2Async(DescribeAutoMLJobV2Request request)
AmazonSageMakerAsync
Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
describeAutoMLJobV2Async
in interface AmazonSageMakerAsync
public Future<DescribeAutoMLJobV2Result> describeAutoMLJobV2Async(DescribeAutoMLJobV2Request request, AsyncHandler<DescribeAutoMLJobV2Request,DescribeAutoMLJobV2Result> asyncHandler)
AmazonSageMakerAsync
Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
describeAutoMLJobV2Async
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeCodeRepositoryResult> describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request)
AmazonSageMakerAsync
Gets details about the specified Git repository.
describeCodeRepositoryAsync
in interface AmazonSageMakerAsync
public Future<DescribeCodeRepositoryResult> describeCodeRepositoryAsync(DescribeCodeRepositoryRequest request, AsyncHandler<DescribeCodeRepositoryRequest,DescribeCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsync
Gets details about the specified Git repository.
describeCodeRepositoryAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeCompilationJobResult> describeCompilationJobAsync(DescribeCompilationJobRequest request)
AmazonSageMakerAsync
Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
describeCompilationJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeCompilationJobResult> describeCompilationJobAsync(DescribeCompilationJobRequest request, AsyncHandler<DescribeCompilationJobRequest,DescribeCompilationJobResult> asyncHandler)
AmazonSageMakerAsync
Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
describeCompilationJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeContextResult> describeContextAsync(DescribeContextRequest request)
AmazonSageMakerAsync
Describes a context.
describeContextAsync
in interface AmazonSageMakerAsync
public Future<DescribeContextResult> describeContextAsync(DescribeContextRequest request, AsyncHandler<DescribeContextRequest,DescribeContextResult> asyncHandler)
AmazonSageMakerAsync
Describes a context.
describeContextAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDataQualityJobDefinitionResult> describeDataQualityJobDefinitionAsync(DescribeDataQualityJobDefinitionRequest request)
AmazonSageMakerAsync
Gets the details of a data quality monitoring job definition.
describeDataQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DescribeDataQualityJobDefinitionResult> describeDataQualityJobDefinitionAsync(DescribeDataQualityJobDefinitionRequest request, AsyncHandler<DescribeDataQualityJobDefinitionRequest,DescribeDataQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Gets the details of a data quality monitoring job definition.
describeDataQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDeviceResult> describeDeviceAsync(DescribeDeviceRequest request)
AmazonSageMakerAsync
Describes the device.
describeDeviceAsync
in interface AmazonSageMakerAsync
public Future<DescribeDeviceResult> describeDeviceAsync(DescribeDeviceRequest request, AsyncHandler<DescribeDeviceRequest,DescribeDeviceResult> asyncHandler)
AmazonSageMakerAsync
Describes the device.
describeDeviceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDeviceFleetResult> describeDeviceFleetAsync(DescribeDeviceFleetRequest request)
AmazonSageMakerAsync
A description of the fleet the device belongs to.
describeDeviceFleetAsync
in interface AmazonSageMakerAsync
public Future<DescribeDeviceFleetResult> describeDeviceFleetAsync(DescribeDeviceFleetRequest request, AsyncHandler<DescribeDeviceFleetRequest,DescribeDeviceFleetResult> asyncHandler)
AmazonSageMakerAsync
A description of the fleet the device belongs to.
describeDeviceFleetAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeDomainResult> describeDomainAsync(DescribeDomainRequest request)
AmazonSageMakerAsync
The description of the domain.
describeDomainAsync
in interface AmazonSageMakerAsync
public Future<DescribeDomainResult> describeDomainAsync(DescribeDomainRequest request, AsyncHandler<DescribeDomainRequest,DescribeDomainResult> asyncHandler)
AmazonSageMakerAsync
The description of the domain.
describeDomainAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEdgeDeploymentPlanResult> describeEdgeDeploymentPlanAsync(DescribeEdgeDeploymentPlanRequest request)
AmazonSageMakerAsync
Describes an edge deployment plan with deployment status per stage.
describeEdgeDeploymentPlanAsync
in interface AmazonSageMakerAsync
public Future<DescribeEdgeDeploymentPlanResult> describeEdgeDeploymentPlanAsync(DescribeEdgeDeploymentPlanRequest request, AsyncHandler<DescribeEdgeDeploymentPlanRequest,DescribeEdgeDeploymentPlanResult> asyncHandler)
AmazonSageMakerAsync
Describes an edge deployment plan with deployment status per stage.
describeEdgeDeploymentPlanAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEdgePackagingJobResult> describeEdgePackagingJobAsync(DescribeEdgePackagingJobRequest request)
AmazonSageMakerAsync
A description of edge packaging jobs.
describeEdgePackagingJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeEdgePackagingJobResult> describeEdgePackagingJobAsync(DescribeEdgePackagingJobRequest request, AsyncHandler<DescribeEdgePackagingJobRequest,DescribeEdgePackagingJobResult> asyncHandler)
AmazonSageMakerAsync
A description of edge packaging jobs.
describeEdgePackagingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEndpointResult> describeEndpointAsync(DescribeEndpointRequest request)
AmazonSageMakerAsync
Returns the description of an endpoint.
describeEndpointAsync
in interface AmazonSageMakerAsync
public Future<DescribeEndpointResult> describeEndpointAsync(DescribeEndpointRequest request, AsyncHandler<DescribeEndpointRequest,DescribeEndpointResult> asyncHandler)
AmazonSageMakerAsync
Returns the description of an endpoint.
describeEndpointAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeEndpointConfigResult> describeEndpointConfigAsync(DescribeEndpointConfigRequest request)
AmazonSageMakerAsync
Returns the description of an endpoint configuration created using the CreateEndpointConfig
API.
describeEndpointConfigAsync
in interface AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeExperimentResult> describeExperimentAsync(DescribeExperimentRequest request)
AmazonSageMakerAsync
Provides a list of an experiment's properties.
describeExperimentAsync
in interface AmazonSageMakerAsync
public Future<DescribeExperimentResult> describeExperimentAsync(DescribeExperimentRequest request, AsyncHandler<DescribeExperimentRequest,DescribeExperimentResult> asyncHandler)
AmazonSageMakerAsync
Provides a list of an experiment's properties.
describeExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeFeatureMetadataResult> describeFeatureMetadataAsync(DescribeFeatureMetadataRequest request)
AmazonSageMakerAsync
Shows the metadata for a feature within a feature group.
describeFeatureMetadataAsync
in interface AmazonSageMakerAsync
public Future<DescribeFeatureMetadataResult> describeFeatureMetadataAsync(DescribeFeatureMetadataRequest request, AsyncHandler<DescribeFeatureMetadataRequest,DescribeFeatureMetadataResult> asyncHandler)
AmazonSageMakerAsync
Shows the metadata for a feature within a feature group.
describeFeatureMetadataAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeFlowDefinitionResult> describeFlowDefinitionAsync(DescribeFlowDefinitionRequest request)
AmazonSageMakerAsync
Returns information about the specified flow definition.
describeFlowDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DescribeFlowDefinitionResult> describeFlowDefinitionAsync(DescribeFlowDefinitionRequest request, AsyncHandler<DescribeFlowDefinitionRequest,DescribeFlowDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Returns information about the specified flow definition.
describeFlowDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHubResult> describeHubAsync(DescribeHubRequest request)
AmazonSageMakerAsync
Describe a hub.
Hub APIs are only callable through SageMaker Studio.
describeHubAsync
in interface AmazonSageMakerAsync
public Future<DescribeHubResult> describeHubAsync(DescribeHubRequest request, AsyncHandler<DescribeHubRequest,DescribeHubResult> asyncHandler)
AmazonSageMakerAsync
Describe a hub.
Hub APIs are only callable through SageMaker Studio.
describeHubAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHubContentResult> describeHubContentAsync(DescribeHubContentRequest request)
AmazonSageMakerAsync
Describe the content of a hub.
Hub APIs are only callable through SageMaker Studio.
describeHubContentAsync
in interface AmazonSageMakerAsync
public Future<DescribeHubContentResult> describeHubContentAsync(DescribeHubContentRequest request, AsyncHandler<DescribeHubContentRequest,DescribeHubContentResult> asyncHandler)
AmazonSageMakerAsync
Describe the content of a hub.
Hub APIs are only callable through SageMaker Studio.
describeHubContentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHumanTaskUiResult> describeHumanTaskUiAsync(DescribeHumanTaskUiRequest request)
AmazonSageMakerAsync
Returns information about the requested human task user interface (worker task template).
describeHumanTaskUiAsync
in interface AmazonSageMakerAsync
public Future<DescribeHumanTaskUiResult> describeHumanTaskUiAsync(DescribeHumanTaskUiRequest request, AsyncHandler<DescribeHumanTaskUiRequest,DescribeHumanTaskUiResult> asyncHandler)
AmazonSageMakerAsync
Returns information about the requested human task user interface (worker task template).
describeHumanTaskUiAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeHyperParameterTuningJobResult> describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request)
AmazonSageMakerAsync
Returns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.
describeHyperParameterTuningJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeHyperParameterTuningJobResult> describeHyperParameterTuningJobAsync(DescribeHyperParameterTuningJobRequest request, AsyncHandler<DescribeHyperParameterTuningJobRequest,DescribeHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of a hyperparameter tuning job, depending on the fields selected. These fields can include the name, Amazon Resource Name (ARN), job status of your tuning job and more.
describeHyperParameterTuningJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeImageResult> describeImageAsync(DescribeImageRequest request)
AmazonSageMakerAsync
Describes a SageMaker image.
describeImageAsync
in interface AmazonSageMakerAsync
public Future<DescribeImageResult> describeImageAsync(DescribeImageRequest request, AsyncHandler<DescribeImageRequest,DescribeImageResult> asyncHandler)
AmazonSageMakerAsync
Describes a SageMaker image.
describeImageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeImageVersionResult> describeImageVersionAsync(DescribeImageVersionRequest request)
AmazonSageMakerAsync
Describes a version of a SageMaker image.
describeImageVersionAsync
in interface AmazonSageMakerAsync
public Future<DescribeImageVersionResult> describeImageVersionAsync(DescribeImageVersionRequest request, AsyncHandler<DescribeImageVersionRequest,DescribeImageVersionResult> asyncHandler)
AmazonSageMakerAsync
Describes a version of a SageMaker image.
describeImageVersionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeInferenceExperimentResult> describeInferenceExperimentAsync(DescribeInferenceExperimentRequest request)
AmazonSageMakerAsync
Returns details about an inference experiment.
describeInferenceExperimentAsync
in interface AmazonSageMakerAsync
public Future<DescribeInferenceExperimentResult> describeInferenceExperimentAsync(DescribeInferenceExperimentRequest request, AsyncHandler<DescribeInferenceExperimentRequest,DescribeInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsync
Returns details about an inference experiment.
describeInferenceExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeInferenceRecommendationsJobResult> describeInferenceRecommendationsJobAsync(DescribeInferenceRecommendationsJobRequest request)
AmazonSageMakerAsync
Provides the results of the Inference Recommender job. One or more recommendation jobs are returned.
describeInferenceRecommendationsJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeInferenceRecommendationsJobResult> describeInferenceRecommendationsJobAsync(DescribeInferenceRecommendationsJobRequest request, AsyncHandler<DescribeInferenceRecommendationsJobRequest,DescribeInferenceRecommendationsJobResult> asyncHandler)
AmazonSageMakerAsync
Provides the results of the Inference Recommender job. One or more recommendation jobs are returned.
describeInferenceRecommendationsJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeLabelingJobResult> describeLabelingJobAsync(DescribeLabelingJobRequest request)
AmazonSageMakerAsync
Gets information about a labeling job.
describeLabelingJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeLabelingJobResult> describeLabelingJobAsync(DescribeLabelingJobRequest request, AsyncHandler<DescribeLabelingJobRequest,DescribeLabelingJobResult> asyncHandler)
AmazonSageMakerAsync
Gets information about a labeling job.
describeLabelingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeLineageGroupResult> describeLineageGroupAsync(DescribeLineageGroupRequest request)
AmazonSageMakerAsync
Provides 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 AmazonSageMakerAsync
public Future<DescribeLineageGroupResult> describeLineageGroupAsync(DescribeLineageGroupRequest request, AsyncHandler<DescribeLineageGroupRequest,DescribeLineageGroupResult> asyncHandler)
AmazonSageMakerAsync
Provides 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request)
AmazonSageMakerAsync
Describes a model that you created using the CreateModel
API.
describeModelAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelResult> describeModelAsync(DescribeModelRequest request, AsyncHandler<DescribeModelRequest,DescribeModelResult> asyncHandler)
AmazonSageMakerAsync
Describes a model that you created using the CreateModel
API.
describeModelAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelBiasJobDefinitionResult> describeModelBiasJobDefinitionAsync(DescribeModelBiasJobDefinitionRequest request)
AmazonSageMakerAsync
Returns a description of a model bias job definition.
describeModelBiasJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelBiasJobDefinitionResult> describeModelBiasJobDefinitionAsync(DescribeModelBiasJobDefinitionRequest request, AsyncHandler<DescribeModelBiasJobDefinitionRequest,DescribeModelBiasJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of a model bias job definition.
describeModelBiasJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelCardResult> describeModelCardAsync(DescribeModelCardRequest request)
AmazonSageMakerAsync
Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
describeModelCardAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelCardResult> describeModelCardAsync(DescribeModelCardRequest request, AsyncHandler<DescribeModelCardRequest,DescribeModelCardResult> asyncHandler)
AmazonSageMakerAsync
Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
describeModelCardAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelCardExportJobResult> describeModelCardExportJobAsync(DescribeModelCardExportJobRequest request)
AmazonSageMakerAsync
Describes an Amazon SageMaker Model Card export job.
describeModelCardExportJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelCardExportJobResult> describeModelCardExportJobAsync(DescribeModelCardExportJobRequest request, AsyncHandler<DescribeModelCardExportJobRequest,DescribeModelCardExportJobResult> asyncHandler)
AmazonSageMakerAsync
Describes an Amazon SageMaker Model Card export job.
describeModelCardExportJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelExplainabilityJobDefinitionResult> describeModelExplainabilityJobDefinitionAsync(DescribeModelExplainabilityJobDefinitionRequest request)
AmazonSageMakerAsync
Returns a description of a model explainability job definition.
describeModelExplainabilityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelExplainabilityJobDefinitionResult> describeModelExplainabilityJobDefinitionAsync(DescribeModelExplainabilityJobDefinitionRequest request, AsyncHandler<DescribeModelExplainabilityJobDefinitionRequest,DescribeModelExplainabilityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of a model explainability job definition.
describeModelExplainabilityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelPackageResult> describeModelPackageAsync(DescribeModelPackageRequest request)
AmazonSageMakerAsync
Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.
describeModelPackageAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelPackageResult> describeModelPackageAsync(DescribeModelPackageRequest request, AsyncHandler<DescribeModelPackageRequest,DescribeModelPackageResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.
To create models in SageMaker, buyers can subscribe to model packages listed on Amazon Web Services Marketplace.
describeModelPackageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelPackageGroupResult> describeModelPackageGroupAsync(DescribeModelPackageGroupRequest request)
AmazonSageMakerAsync
Gets a description for the specified model group.
describeModelPackageGroupAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelPackageGroupResult> describeModelPackageGroupAsync(DescribeModelPackageGroupRequest request, AsyncHandler<DescribeModelPackageGroupRequest,DescribeModelPackageGroupResult> asyncHandler)
AmazonSageMakerAsync
Gets a description for the specified model group.
describeModelPackageGroupAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeModelQualityJobDefinitionResult> describeModelQualityJobDefinitionAsync(DescribeModelQualityJobDefinitionRequest request)
AmazonSageMakerAsync
Returns a description of a model quality job definition.
describeModelQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
public Future<DescribeModelQualityJobDefinitionResult> describeModelQualityJobDefinitionAsync(DescribeModelQualityJobDefinitionRequest request, AsyncHandler<DescribeModelQualityJobDefinitionRequest,DescribeModelQualityJobDefinitionResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of a model quality job definition.
describeModelQualityJobDefinitionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeMonitoringScheduleResult> describeMonitoringScheduleAsync(DescribeMonitoringScheduleRequest request)
AmazonSageMakerAsync
Describes the schedule for a monitoring job.
describeMonitoringScheduleAsync
in interface AmazonSageMakerAsync
public Future<DescribeMonitoringScheduleResult> describeMonitoringScheduleAsync(DescribeMonitoringScheduleRequest request, AsyncHandler<DescribeMonitoringScheduleRequest,DescribeMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsync
Describes the schedule for a monitoring job.
describeMonitoringScheduleAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeNotebookInstanceResult> describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request)
AmazonSageMakerAsync
Returns information about a notebook instance.
describeNotebookInstanceAsync
in interface AmazonSageMakerAsync
public Future<DescribeNotebookInstanceResult> describeNotebookInstanceAsync(DescribeNotebookInstanceRequest request, AsyncHandler<DescribeNotebookInstanceRequest,DescribeNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsync
Returns information about a notebook instance.
describeNotebookInstanceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeNotebookInstanceLifecycleConfigResult> describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsync
Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
describeNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
public Future<DescribeNotebookInstanceLifecycleConfigResult> describeNotebookInstanceLifecycleConfigAsync(DescribeNotebookInstanceLifecycleConfigRequest request, AsyncHandler<DescribeNotebookInstanceLifecycleConfigRequest,DescribeNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
describeNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePipelineResult> describePipelineAsync(DescribePipelineRequest request)
AmazonSageMakerAsync
Describes the details of a pipeline.
describePipelineAsync
in interface AmazonSageMakerAsync
public Future<DescribePipelineResult> describePipelineAsync(DescribePipelineRequest request, AsyncHandler<DescribePipelineRequest,DescribePipelineResult> asyncHandler)
AmazonSageMakerAsync
Describes the details of a pipeline.
describePipelineAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePipelineDefinitionForExecutionResult> describePipelineDefinitionForExecutionAsync(DescribePipelineDefinitionForExecutionRequest request)
AmazonSageMakerAsync
Describes the details of an execution's pipeline definition.
describePipelineDefinitionForExecutionAsync
in interface AmazonSageMakerAsync
public Future<DescribePipelineDefinitionForExecutionResult> describePipelineDefinitionForExecutionAsync(DescribePipelineDefinitionForExecutionRequest request, AsyncHandler<DescribePipelineDefinitionForExecutionRequest,DescribePipelineDefinitionForExecutionResult> asyncHandler)
AmazonSageMakerAsync
Describes the details of an execution's pipeline definition.
describePipelineDefinitionForExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribePipelineExecutionResult> describePipelineExecutionAsync(DescribePipelineExecutionRequest request)
AmazonSageMakerAsync
Describes the details of a pipeline execution.
describePipelineExecutionAsync
in interface AmazonSageMakerAsync
public Future<DescribePipelineExecutionResult> describePipelineExecutionAsync(DescribePipelineExecutionRequest request, AsyncHandler<DescribePipelineExecutionRequest,DescribePipelineExecutionResult> asyncHandler)
AmazonSageMakerAsync
Describes the details of a pipeline execution.
describePipelineExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeProcessingJobResult> describeProcessingJobAsync(DescribeProcessingJobRequest request)
AmazonSageMakerAsync
Returns a description of a processing job.
describeProcessingJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeProcessingJobResult> describeProcessingJobAsync(DescribeProcessingJobRequest request, AsyncHandler<DescribeProcessingJobRequest,DescribeProcessingJobResult> asyncHandler)
AmazonSageMakerAsync
Returns a description of a processing job.
describeProcessingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeProjectResult> describeProjectAsync(DescribeProjectRequest request)
AmazonSageMakerAsync
Describes the details of a project.
describeProjectAsync
in interface AmazonSageMakerAsync
public Future<DescribeProjectResult> describeProjectAsync(DescribeProjectRequest request, AsyncHandler<DescribeProjectRequest,DescribeProjectResult> asyncHandler)
AmazonSageMakerAsync
Describes the details of a project.
describeProjectAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeSpaceResult> describeSpaceAsync(DescribeSpaceRequest request)
AmazonSageMakerAsync
Describes the space.
describeSpaceAsync
in interface AmazonSageMakerAsync
public Future<DescribeSpaceResult> describeSpaceAsync(DescribeSpaceRequest request, AsyncHandler<DescribeSpaceRequest,DescribeSpaceResult> asyncHandler)
AmazonSageMakerAsync
Describes the space.
describeSpaceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeStudioLifecycleConfigResult> describeStudioLifecycleConfigAsync(DescribeStudioLifecycleConfigRequest request)
AmazonSageMakerAsync
Describes the Studio Lifecycle Configuration.
describeStudioLifecycleConfigAsync
in interface AmazonSageMakerAsync
public Future<DescribeStudioLifecycleConfigResult> describeStudioLifecycleConfigAsync(DescribeStudioLifecycleConfigRequest request, AsyncHandler<DescribeStudioLifecycleConfigRequest,DescribeStudioLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Describes the Studio Lifecycle Configuration.
describeStudioLifecycleConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeSubscribedWorkteamResult> describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request)
AmazonSageMakerAsync
Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.
describeSubscribedWorkteamAsync
in interface AmazonSageMakerAsync
public Future<DescribeSubscribedWorkteamResult> describeSubscribedWorkteamAsync(DescribeSubscribedWorkteamRequest request, AsyncHandler<DescribeSubscribedWorkteamRequest,DescribeSubscribedWorkteamResult> asyncHandler)
AmazonSageMakerAsync
Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the Amazon Web Services Marketplace.
describeSubscribedWorkteamAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTrainingJobResult> describeTrainingJobAsync(DescribeTrainingJobRequest request)
AmazonSageMakerAsync
Returns information about a training job.
Some of the attributes below only appear if the training job successfully starts. If the training job fails,
TrainingJobStatus
is Failed
and, depending on the FailureReason
,
attributes like TrainingStartTime
, TrainingTimeInSeconds
, TrainingEndTime
,
and BillableTimeInSeconds
may not be present in the response.
describeTrainingJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeTrainingJobResult> describeTrainingJobAsync(DescribeTrainingJobRequest request, AsyncHandler<DescribeTrainingJobRequest,DescribeTrainingJobResult> asyncHandler)
AmazonSageMakerAsync
Returns information about a training job.
Some of the attributes below only appear if the training job successfully starts. If the training job fails,
TrainingJobStatus
is Failed
and, depending on the FailureReason
,
attributes like TrainingStartTime
, TrainingTimeInSeconds
, TrainingEndTime
,
and BillableTimeInSeconds
may not be present in the response.
describeTrainingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTransformJobResult> describeTransformJobAsync(DescribeTransformJobRequest request)
AmazonSageMakerAsync
Returns information about a transform job.
describeTransformJobAsync
in interface AmazonSageMakerAsync
public Future<DescribeTransformJobResult> describeTransformJobAsync(DescribeTransformJobRequest request, AsyncHandler<DescribeTransformJobRequest,DescribeTransformJobResult> asyncHandler)
AmazonSageMakerAsync
Returns information about a transform job.
describeTransformJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTrialResult> describeTrialAsync(DescribeTrialRequest request)
AmazonSageMakerAsync
Provides a list of a trial's properties.
describeTrialAsync
in interface AmazonSageMakerAsync
public Future<DescribeTrialResult> describeTrialAsync(DescribeTrialRequest request, AsyncHandler<DescribeTrialRequest,DescribeTrialResult> asyncHandler)
AmazonSageMakerAsync
Provides a list of a trial's properties.
describeTrialAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeTrialComponentResult> describeTrialComponentAsync(DescribeTrialComponentRequest request)
AmazonSageMakerAsync
Provides a list of a trials component's properties.
describeTrialComponentAsync
in interface AmazonSageMakerAsync
public Future<DescribeTrialComponentResult> describeTrialComponentAsync(DescribeTrialComponentRequest request, AsyncHandler<DescribeTrialComponentRequest,DescribeTrialComponentResult> asyncHandler)
AmazonSageMakerAsync
Provides a list of a trials component's properties.
describeTrialComponentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeUserProfileResult> describeUserProfileAsync(DescribeUserProfileRequest request)
AmazonSageMakerAsync
Describes a user profile. For more information, see CreateUserProfile
.
describeUserProfileAsync
in interface AmazonSageMakerAsync
public Future<DescribeUserProfileResult> describeUserProfileAsync(DescribeUserProfileRequest request, AsyncHandler<DescribeUserProfileRequest,DescribeUserProfileResult> asyncHandler)
AmazonSageMakerAsync
Describes a user profile. For more information, see CreateUserProfile
.
describeUserProfileAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeWorkforceResult> describeWorkforceAsync(DescribeWorkforceRequest request)
AmazonSageMakerAsync
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
describeWorkforceAsync
in interface AmazonSageMakerAsync
public Future<DescribeWorkforceResult> describeWorkforceAsync(DescribeWorkforceRequest request, AsyncHandler<DescribeWorkforceRequest,DescribeWorkforceResult> asyncHandler)
AmazonSageMakerAsync
Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs). Allowable IP address ranges are the IP addresses that workers can use to access tasks.
This operation applies only to private workforces.
describeWorkforceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DescribeWorkteamResult> describeWorkteamAsync(DescribeWorkteamRequest request)
AmazonSageMakerAsync
Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
describeWorkteamAsync
in interface AmazonSageMakerAsync
public Future<DescribeWorkteamResult> describeWorkteamAsync(DescribeWorkteamRequest request, AsyncHandler<DescribeWorkteamRequest,DescribeWorkteamResult> asyncHandler)
AmazonSageMakerAsync
Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
describeWorkteamAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DisableSagemakerServicecatalogPortfolioResult> disableSagemakerServicecatalogPortfolioAsync(DisableSagemakerServicecatalogPortfolioRequest request)
AmazonSageMakerAsync
Disables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
disableSagemakerServicecatalogPortfolioAsync
in interface AmazonSageMakerAsync
public Future<DisableSagemakerServicecatalogPortfolioResult> disableSagemakerServicecatalogPortfolioAsync(DisableSagemakerServicecatalogPortfolioRequest request, AsyncHandler<DisableSagemakerServicecatalogPortfolioRequest,DisableSagemakerServicecatalogPortfolioResult> asyncHandler)
AmazonSageMakerAsync
Disables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
disableSagemakerServicecatalogPortfolioAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DisassociateTrialComponentResult> disassociateTrialComponentAsync(DisassociateTrialComponentRequest request)
AmazonSageMakerAsync
Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify
ExperimentTrialComponent
for the Resource
parameter. The list appears in the response
under Results.TrialComponent.Parents
.
disassociateTrialComponentAsync
in interface AmazonSageMakerAsync
public Future<DisassociateTrialComponentResult> disassociateTrialComponentAsync(DisassociateTrialComponentRequest request, AsyncHandler<DisassociateTrialComponentRequest,DisassociateTrialComponentResult> asyncHandler)
AmazonSageMakerAsync
Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
To get a list of the trials a component is associated with, use the Search API. Specify
ExperimentTrialComponent
for the Resource
parameter. The list appears in the response
under Results.TrialComponent.Parents
.
disassociateTrialComponentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<EnableSagemakerServicecatalogPortfolioResult> enableSagemakerServicecatalogPortfolioAsync(EnableSagemakerServicecatalogPortfolioRequest request)
AmazonSageMakerAsync
Enables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
enableSagemakerServicecatalogPortfolioAsync
in interface AmazonSageMakerAsync
public Future<EnableSagemakerServicecatalogPortfolioResult> enableSagemakerServicecatalogPortfolioAsync(EnableSagemakerServicecatalogPortfolioRequest request, AsyncHandler<EnableSagemakerServicecatalogPortfolioRequest,EnableSagemakerServicecatalogPortfolioResult> asyncHandler)
AmazonSageMakerAsync
Enables using Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
enableSagemakerServicecatalogPortfolioAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetDeviceFleetReportResult> getDeviceFleetReportAsync(GetDeviceFleetReportRequest request)
AmazonSageMakerAsync
Describes a fleet.
getDeviceFleetReportAsync
in interface AmazonSageMakerAsync
public Future<GetDeviceFleetReportResult> getDeviceFleetReportAsync(GetDeviceFleetReportRequest request, AsyncHandler<GetDeviceFleetReportRequest,GetDeviceFleetReportResult> asyncHandler)
AmazonSageMakerAsync
Describes a fleet.
getDeviceFleetReportAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetLineageGroupPolicyResult> getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest request)
AmazonSageMakerAsync
The resource policy for the lineage group.
getLineageGroupPolicyAsync
in interface AmazonSageMakerAsync
public Future<GetLineageGroupPolicyResult> getLineageGroupPolicyAsync(GetLineageGroupPolicyRequest request, AsyncHandler<GetLineageGroupPolicyRequest,GetLineageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsync
The resource policy for the lineage group.
getLineageGroupPolicyAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetModelPackageGroupPolicyResult> getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest request)
AmazonSageMakerAsync
Gets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
getModelPackageGroupPolicyAsync
in interface AmazonSageMakerAsync
public Future<GetModelPackageGroupPolicyResult> getModelPackageGroupPolicyAsync(GetModelPackageGroupPolicyRequest request, AsyncHandler<GetModelPackageGroupPolicyRequest,GetModelPackageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsync
Gets a resource policy that manages access for a model group. For information about resource policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
getModelPackageGroupPolicyAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetSagemakerServicecatalogPortfolioStatusResult> getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest request)
AmazonSageMakerAsync
Gets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
getSagemakerServicecatalogPortfolioStatusAsync
in interface AmazonSageMakerAsync
public Future<GetSagemakerServicecatalogPortfolioStatusResult> getSagemakerServicecatalogPortfolioStatusAsync(GetSagemakerServicecatalogPortfolioStatusRequest request, AsyncHandler<GetSagemakerServicecatalogPortfolioStatusRequest,GetSagemakerServicecatalogPortfolioStatusResult> asyncHandler)
AmazonSageMakerAsync
Gets the status of Service Catalog in SageMaker. Service Catalog is used to create SageMaker projects.
getSagemakerServicecatalogPortfolioStatusAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetScalingConfigurationRecommendationResult> getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest request)
AmazonSageMakerAsync
Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.
getScalingConfigurationRecommendationAsync
in interface AmazonSageMakerAsync
public Future<GetScalingConfigurationRecommendationResult> getScalingConfigurationRecommendationAsync(GetScalingConfigurationRecommendationRequest request, AsyncHandler<GetScalingConfigurationRecommendationRequest,GetScalingConfigurationRecommendationResult> asyncHandler)
AmazonSageMakerAsync
Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job. Returns recommendations for autoscaling policies that you can apply to your SageMaker endpoint.
getScalingConfigurationRecommendationAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ImportHubContentResult> importHubContentAsync(ImportHubContentRequest request)
AmazonSageMakerAsync
Import hub content.
Hub APIs are only callable through SageMaker Studio.
importHubContentAsync
in interface AmazonSageMakerAsync
public Future<ImportHubContentResult> importHubContentAsync(ImportHubContentRequest request, AsyncHandler<ImportHubContentRequest,ImportHubContentResult> asyncHandler)
AmazonSageMakerAsync
Import hub content.
Hub APIs are only callable through SageMaker Studio.
importHubContentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListActionsResult> listActionsAsync(ListActionsRequest request)
AmazonSageMakerAsync
Lists the actions in your account and their properties.
listActionsAsync
in interface AmazonSageMakerAsync
public Future<ListActionsResult> listActionsAsync(ListActionsRequest request, AsyncHandler<ListActionsRequest,ListActionsResult> asyncHandler)
AmazonSageMakerAsync
Lists the actions in your account and their properties.
listActionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAlgorithmsResult> listAlgorithmsAsync(ListAlgorithmsRequest request)
AmazonSageMakerAsync
Lists the machine learning algorithms that have been created.
listAlgorithmsAsync
in interface AmazonSageMakerAsync
public Future<ListAlgorithmsResult> listAlgorithmsAsync(ListAlgorithmsRequest request, AsyncHandler<ListAlgorithmsRequest,ListAlgorithmsResult> asyncHandler)
AmazonSageMakerAsync
Lists the machine learning algorithms that have been created.
listAlgorithmsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAliasesResult> listAliasesAsync(ListAliasesRequest request)
AmazonSageMakerAsync
Lists the aliases of a specified image or image version.
listAliasesAsync
in interface AmazonSageMakerAsync
public Future<ListAliasesResult> listAliasesAsync(ListAliasesRequest request, AsyncHandler<ListAliasesRequest,ListAliasesResult> asyncHandler)
AmazonSageMakerAsync
Lists the aliases of a specified image or image version.
listAliasesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAppImageConfigsResult> listAppImageConfigsAsync(ListAppImageConfigsRequest request)
AmazonSageMakerAsync
Lists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.
listAppImageConfigsAsync
in interface AmazonSageMakerAsync
public Future<ListAppImageConfigsResult> listAppImageConfigsAsync(ListAppImageConfigsRequest request, AsyncHandler<ListAppImageConfigsRequest,ListAppImageConfigsResult> asyncHandler)
AmazonSageMakerAsync
Lists the AppImageConfigs in your account and their properties. The list can be filtered by creation time or modified time, and whether the AppImageConfig name contains a specified string.
listAppImageConfigsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAppsResult> listAppsAsync(ListAppsRequest request)
AmazonSageMakerAsync
Lists apps.
listAppsAsync
in interface AmazonSageMakerAsync
public Future<ListAppsResult> listAppsAsync(ListAppsRequest request, AsyncHandler<ListAppsRequest,ListAppsResult> asyncHandler)
AmazonSageMakerAsync
Lists apps.
listAppsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListArtifactsResult> listArtifactsAsync(ListArtifactsRequest request)
AmazonSageMakerAsync
Lists the artifacts in your account and their properties.
listArtifactsAsync
in interface AmazonSageMakerAsync
public Future<ListArtifactsResult> listArtifactsAsync(ListArtifactsRequest request, AsyncHandler<ListArtifactsRequest,ListArtifactsResult> asyncHandler)
AmazonSageMakerAsync
Lists the artifacts in your account and their properties.
listArtifactsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAssociationsResult> listAssociationsAsync(ListAssociationsRequest request)
AmazonSageMakerAsync
Lists the associations in your account and their properties.
listAssociationsAsync
in interface AmazonSageMakerAsync
public Future<ListAssociationsResult> listAssociationsAsync(ListAssociationsRequest request, AsyncHandler<ListAssociationsRequest,ListAssociationsResult> asyncHandler)
AmazonSageMakerAsync
Lists the associations in your account and their properties.
listAssociationsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAutoMLJobsResult> listAutoMLJobsAsync(ListAutoMLJobsRequest request)
AmazonSageMakerAsync
Request a list of jobs.
listAutoMLJobsAsync
in interface AmazonSageMakerAsync
public Future<ListAutoMLJobsResult> listAutoMLJobsAsync(ListAutoMLJobsRequest request, AsyncHandler<ListAutoMLJobsRequest,ListAutoMLJobsResult> asyncHandler)
AmazonSageMakerAsync
Request a list of jobs.
listAutoMLJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListCandidatesForAutoMLJobResult> listCandidatesForAutoMLJobAsync(ListCandidatesForAutoMLJobRequest request)
AmazonSageMakerAsync
List the candidates created for the job.
listCandidatesForAutoMLJobAsync
in interface AmazonSageMakerAsync
public Future<ListCandidatesForAutoMLJobResult> listCandidatesForAutoMLJobAsync(ListCandidatesForAutoMLJobRequest request, AsyncHandler<ListCandidatesForAutoMLJobRequest,ListCandidatesForAutoMLJobResult> asyncHandler)
AmazonSageMakerAsync
List the candidates created for the job.
listCandidatesForAutoMLJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListCodeRepositoriesResult> listCodeRepositoriesAsync(ListCodeRepositoriesRequest request)
AmazonSageMakerAsync
Gets a list of the Git repositories in your account.
listCodeRepositoriesAsync
in interface AmazonSageMakerAsync
public Future<ListCodeRepositoriesResult> listCodeRepositoriesAsync(ListCodeRepositoriesRequest request, AsyncHandler<ListCodeRepositoriesRequest,ListCodeRepositoriesResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of the Git repositories in your account.
listCodeRepositoriesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListCompilationJobsResult> listCompilationJobsAsync(ListCompilationJobsRequest request)
AmazonSageMakerAsync
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
listCompilationJobsAsync
in interface AmazonSageMakerAsync
public Future<ListCompilationJobsResult> listCompilationJobsAsync(ListCompilationJobsRequest request, AsyncHandler<ListCompilationJobsRequest,ListCompilationJobsResult> asyncHandler)
AmazonSageMakerAsync
Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
listCompilationJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListContextsResult> listContextsAsync(ListContextsRequest request)
AmazonSageMakerAsync
Lists the contexts in your account and their properties.
listContextsAsync
in interface AmazonSageMakerAsync
public Future<ListContextsResult> listContextsAsync(ListContextsRequest request, AsyncHandler<ListContextsRequest,ListContextsResult> asyncHandler)
AmazonSageMakerAsync
Lists the contexts in your account and their properties.
listContextsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDataQualityJobDefinitionsResult> listDataQualityJobDefinitionsAsync(ListDataQualityJobDefinitionsRequest request)
AmazonSageMakerAsync
Lists the data quality job definitions in your account.
listDataQualityJobDefinitionsAsync
in interface AmazonSageMakerAsync
public Future<ListDataQualityJobDefinitionsResult> listDataQualityJobDefinitionsAsync(ListDataQualityJobDefinitionsRequest request, AsyncHandler<ListDataQualityJobDefinitionsRequest,ListDataQualityJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsync
Lists the data quality job definitions in your account.
listDataQualityJobDefinitionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDeviceFleetsResult> listDeviceFleetsAsync(ListDeviceFleetsRequest request)
AmazonSageMakerAsync
Returns a list of devices in the fleet.
listDeviceFleetsAsync
in interface AmazonSageMakerAsync
public Future<ListDeviceFleetsResult> listDeviceFleetsAsync(ListDeviceFleetsRequest request, AsyncHandler<ListDeviceFleetsRequest,ListDeviceFleetsResult> asyncHandler)
AmazonSageMakerAsync
Returns a list of devices in the fleet.
listDeviceFleetsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDevicesResult> listDevicesAsync(ListDevicesRequest request)
AmazonSageMakerAsync
A list of devices.
listDevicesAsync
in interface AmazonSageMakerAsync
public Future<ListDevicesResult> listDevicesAsync(ListDevicesRequest request, AsyncHandler<ListDevicesRequest,ListDevicesResult> asyncHandler)
AmazonSageMakerAsync
A list of devices.
listDevicesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListDomainsResult> listDomainsAsync(ListDomainsRequest request)
AmazonSageMakerAsync
Lists the domains.
listDomainsAsync
in interface AmazonSageMakerAsync
public Future<ListDomainsResult> listDomainsAsync(ListDomainsRequest request, AsyncHandler<ListDomainsRequest,ListDomainsResult> asyncHandler)
AmazonSageMakerAsync
Lists the domains.
listDomainsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEdgeDeploymentPlansResult> listEdgeDeploymentPlansAsync(ListEdgeDeploymentPlansRequest request)
AmazonSageMakerAsync
Lists all edge deployment plans.
listEdgeDeploymentPlansAsync
in interface AmazonSageMakerAsync
public Future<ListEdgeDeploymentPlansResult> listEdgeDeploymentPlansAsync(ListEdgeDeploymentPlansRequest request, AsyncHandler<ListEdgeDeploymentPlansRequest,ListEdgeDeploymentPlansResult> asyncHandler)
AmazonSageMakerAsync
Lists all edge deployment plans.
listEdgeDeploymentPlansAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEdgePackagingJobsResult> listEdgePackagingJobsAsync(ListEdgePackagingJobsRequest request)
AmazonSageMakerAsync
Returns a list of edge packaging jobs.
listEdgePackagingJobsAsync
in interface AmazonSageMakerAsync
public Future<ListEdgePackagingJobsResult> listEdgePackagingJobsAsync(ListEdgePackagingJobsRequest request, AsyncHandler<ListEdgePackagingJobsRequest,ListEdgePackagingJobsResult> asyncHandler)
AmazonSageMakerAsync
Returns a list of edge packaging jobs.
listEdgePackagingJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEndpointConfigsResult> listEndpointConfigsAsync(ListEndpointConfigsRequest request)
AmazonSageMakerAsync
Lists endpoint configurations.
listEndpointConfigsAsync
in interface AmazonSageMakerAsync
public Future<ListEndpointConfigsResult> listEndpointConfigsAsync(ListEndpointConfigsRequest request, AsyncHandler<ListEndpointConfigsRequest,ListEndpointConfigsResult> asyncHandler)
AmazonSageMakerAsync
Lists endpoint configurations.
listEndpointConfigsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListEndpointsResult> listEndpointsAsync(ListEndpointsRequest request)
AmazonSageMakerAsync
Lists endpoints.
listEndpointsAsync
in interface AmazonSageMakerAsync
public Future<ListEndpointsResult> listEndpointsAsync(ListEndpointsRequest request, AsyncHandler<ListEndpointsRequest,ListEndpointsResult> asyncHandler)
AmazonSageMakerAsync
Lists endpoints.
listEndpointsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListExperimentsResult> listExperimentsAsync(ListExperimentsRequest request)
AmazonSageMakerAsync
Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
listExperimentsAsync
in interface AmazonSageMakerAsync
public Future<ListExperimentsResult> listExperimentsAsync(ListExperimentsRequest request, AsyncHandler<ListExperimentsRequest,ListExperimentsResult> asyncHandler)
AmazonSageMakerAsync
Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
listExperimentsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListFeatureGroupsResult> listFeatureGroupsAsync(ListFeatureGroupsRequest request)
AmazonSageMakerAsync
List FeatureGroup
s based on given filter and order.
listFeatureGroupsAsync
in interface AmazonSageMakerAsync
public Future<ListFeatureGroupsResult> listFeatureGroupsAsync(ListFeatureGroupsRequest request, AsyncHandler<ListFeatureGroupsRequest,ListFeatureGroupsResult> asyncHandler)
AmazonSageMakerAsync
List FeatureGroup
s based on given filter and order.
listFeatureGroupsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListFlowDefinitionsResult> listFlowDefinitionsAsync(ListFlowDefinitionsRequest request)
AmazonSageMakerAsync
Returns information about the flow definitions in your account.
listFlowDefinitionsAsync
in interface AmazonSageMakerAsync
public Future<ListFlowDefinitionsResult> listFlowDefinitionsAsync(ListFlowDefinitionsRequest request, AsyncHandler<ListFlowDefinitionsRequest,ListFlowDefinitionsResult> asyncHandler)
AmazonSageMakerAsync
Returns information about the flow definitions in your account.
listFlowDefinitionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHubContentVersionsResult> listHubContentVersionsAsync(ListHubContentVersionsRequest request)
AmazonSageMakerAsync
List hub content versions.
Hub APIs are only callable through SageMaker Studio.
listHubContentVersionsAsync
in interface AmazonSageMakerAsync
public Future<ListHubContentVersionsResult> listHubContentVersionsAsync(ListHubContentVersionsRequest request, AsyncHandler<ListHubContentVersionsRequest,ListHubContentVersionsResult> asyncHandler)
AmazonSageMakerAsync
List hub content versions.
Hub APIs are only callable through SageMaker Studio.
listHubContentVersionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHubContentsResult> listHubContentsAsync(ListHubContentsRequest request)
AmazonSageMakerAsync
List the contents of a hub.
Hub APIs are only callable through SageMaker Studio.
listHubContentsAsync
in interface AmazonSageMakerAsync
public Future<ListHubContentsResult> listHubContentsAsync(ListHubContentsRequest request, AsyncHandler<ListHubContentsRequest,ListHubContentsResult> asyncHandler)
AmazonSageMakerAsync
List the contents of a hub.
Hub APIs are only callable through SageMaker Studio.
listHubContentsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHubsResult> listHubsAsync(ListHubsRequest request)
AmazonSageMakerAsync
List all existing hubs.
Hub APIs are only callable through SageMaker Studio.
listHubsAsync
in interface AmazonSageMakerAsync
public Future<ListHubsResult> listHubsAsync(ListHubsRequest request, AsyncHandler<ListHubsRequest,ListHubsResult> asyncHandler)
AmazonSageMakerAsync
List all existing hubs.
Hub APIs are only callable through SageMaker Studio.
listHubsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHumanTaskUisResult> listHumanTaskUisAsync(ListHumanTaskUisRequest request)
AmazonSageMakerAsync
Returns information about the human task user interfaces in your account.
listHumanTaskUisAsync
in interface AmazonSageMakerAsync
public Future<ListHumanTaskUisResult> listHumanTaskUisAsync(ListHumanTaskUisRequest request, AsyncHandler<ListHumanTaskUisRequest,ListHumanTaskUisResult> asyncHandler)
AmazonSageMakerAsync
Returns information about the human task user interfaces in your account.
listHumanTaskUisAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListHyperParameterTuningJobsResult> listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request)
AmazonSageMakerAsync
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
listHyperParameterTuningJobsAsync
in interface AmazonSageMakerAsync
public Future<ListHyperParameterTuningJobsResult> listHyperParameterTuningJobsAsync(ListHyperParameterTuningJobsRequest request, AsyncHandler<ListHyperParameterTuningJobsRequest,ListHyperParameterTuningJobsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
listHyperParameterTuningJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListImageVersionsResult> listImageVersionsAsync(ListImageVersionsRequest request)
AmazonSageMakerAsync
Lists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.
listImageVersionsAsync
in interface AmazonSageMakerAsync
public Future<ListImageVersionsResult> listImageVersionsAsync(ListImageVersionsRequest request, AsyncHandler<ListImageVersionsRequest,ListImageVersionsResult> asyncHandler)
AmazonSageMakerAsync
Lists the versions of a specified image and their properties. The list can be filtered by creation time or modified time.
listImageVersionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListImagesResult> listImagesAsync(ListImagesRequest request)
AmazonSageMakerAsync
Lists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.
listImagesAsync
in interface AmazonSageMakerAsync
public Future<ListImagesResult> listImagesAsync(ListImagesRequest request, AsyncHandler<ListImagesRequest,ListImagesResult> asyncHandler)
AmazonSageMakerAsync
Lists the images in your account and their properties. The list can be filtered by creation time or modified time, and whether the image name contains a specified string.
listImagesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceExperimentsResult> listInferenceExperimentsAsync(ListInferenceExperimentsRequest request)
AmazonSageMakerAsync
Returns the list of all inference experiments.
listInferenceExperimentsAsync
in interface AmazonSageMakerAsync
public Future<ListInferenceExperimentsResult> listInferenceExperimentsAsync(ListInferenceExperimentsRequest request, AsyncHandler<ListInferenceExperimentsRequest,ListInferenceExperimentsResult> asyncHandler)
AmazonSageMakerAsync
Returns the list of all inference experiments.
listInferenceExperimentsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceRecommendationsJobStepsResult> listInferenceRecommendationsJobStepsAsync(ListInferenceRecommendationsJobStepsRequest request)
AmazonSageMakerAsync
Returns a list of the subtasks for an Inference Recommender job.
The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.
listInferenceRecommendationsJobStepsAsync
in interface AmazonSageMakerAsync
public Future<ListInferenceRecommendationsJobStepsResult> listInferenceRecommendationsJobStepsAsync(ListInferenceRecommendationsJobStepsRequest request, AsyncHandler<ListInferenceRecommendationsJobStepsRequest,ListInferenceRecommendationsJobStepsResult> asyncHandler)
AmazonSageMakerAsync
Returns a list of the subtasks for an Inference Recommender job.
The supported subtasks are benchmarks, which evaluate the performance of your model on different instance types.
listInferenceRecommendationsJobStepsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListInferenceRecommendationsJobsResult> listInferenceRecommendationsJobsAsync(ListInferenceRecommendationsJobsRequest request)
AmazonSageMakerAsync
Lists recommendation jobs that satisfy various filters.
listInferenceRecommendationsJobsAsync
in interface AmazonSageMakerAsync
public Future<ListInferenceRecommendationsJobsResult> listInferenceRecommendationsJobsAsync(ListInferenceRecommendationsJobsRequest request, AsyncHandler<ListInferenceRecommendationsJobsRequest,ListInferenceRecommendationsJobsResult> asyncHandler)
AmazonSageMakerAsync
Lists recommendation jobs that satisfy various filters.
listInferenceRecommendationsJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListLabelingJobsResult> listLabelingJobsAsync(ListLabelingJobsRequest request)
AmazonSageMakerAsync
Gets a list of labeling jobs.
listLabelingJobsAsync
in interface AmazonSageMakerAsync
public Future<ListLabelingJobsResult> listLabelingJobsAsync(ListLabelingJobsRequest request, AsyncHandler<ListLabelingJobsRequest,ListLabelingJobsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of labeling jobs.
listLabelingJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListLabelingJobsForWorkteamResult> listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request)
AmazonSageMakerAsync
Gets a list of labeling jobs assigned to a specified work team.
listLabelingJobsForWorkteamAsync
in interface AmazonSageMakerAsync
public Future<ListLabelingJobsForWorkteamResult> listLabelingJobsForWorkteamAsync(ListLabelingJobsForWorkteamRequest request, AsyncHandler<ListLabelingJobsForWorkteamRequest,ListLabelingJobsForWorkteamResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of labeling jobs assigned to a specified work team.
listLabelingJobsForWorkteamAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListLineageGroupsResult> listLineageGroupsAsync(ListLineageGroupsRequest request)
AmazonSageMakerAsync
A list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
listLineageGroupsAsync
in interface AmazonSageMakerAsync
public Future<ListLineageGroupsResult> listLineageGroupsAsync(ListLineageGroupsRequest request, AsyncHandler<ListLineageGroupsRequest,ListLineageGroupsResult> asyncHandler)
AmazonSageMakerAsync
A list of lineage groups shared with your Amazon Web Services account. For more information, see Cross-Account Lineage Tracking in the Amazon SageMaker Developer Guide.
listLineageGroupsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelBiasJobDefinitionsResult> listModelBiasJobDefinitionsAsync(ListModelBiasJobDefinitionsRequest request)
AmazonSageMakerAsync
Lists model bias jobs definitions that satisfy various filters.
listModelBiasJobDefinitionsAsync
in interface AmazonSageMakerAsync
public Future<ListModelBiasJobDefinitionsResult> listModelBiasJobDefinitionsAsync(ListModelBiasJobDefinitionsRequest request, AsyncHandler<ListModelBiasJobDefinitionsRequest,ListModelBiasJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsync
Lists model bias jobs definitions that satisfy various filters.
listModelBiasJobDefinitionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelCardExportJobsResult> listModelCardExportJobsAsync(ListModelCardExportJobsRequest request)
AmazonSageMakerAsync
List the export jobs for the Amazon SageMaker Model Card.
listModelCardExportJobsAsync
in interface AmazonSageMakerAsync
public Future<ListModelCardExportJobsResult> listModelCardExportJobsAsync(ListModelCardExportJobsRequest request, AsyncHandler<ListModelCardExportJobsRequest,ListModelCardExportJobsResult> asyncHandler)
AmazonSageMakerAsync
List the export jobs for the Amazon SageMaker Model Card.
listModelCardExportJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelCardVersionsResult> listModelCardVersionsAsync(ListModelCardVersionsRequest request)
AmazonSageMakerAsync
List existing versions of an Amazon SageMaker Model Card.
listModelCardVersionsAsync
in interface AmazonSageMakerAsync
public Future<ListModelCardVersionsResult> listModelCardVersionsAsync(ListModelCardVersionsRequest request, AsyncHandler<ListModelCardVersionsRequest,ListModelCardVersionsResult> asyncHandler)
AmazonSageMakerAsync
List existing versions of an Amazon SageMaker Model Card.
listModelCardVersionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelCardsResult> listModelCardsAsync(ListModelCardsRequest request)
AmazonSageMakerAsync
List existing model cards.
listModelCardsAsync
in interface AmazonSageMakerAsync
public Future<ListModelCardsResult> listModelCardsAsync(ListModelCardsRequest request, AsyncHandler<ListModelCardsRequest,ListModelCardsResult> asyncHandler)
AmazonSageMakerAsync
List existing model cards.
listModelCardsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelExplainabilityJobDefinitionsResult> listModelExplainabilityJobDefinitionsAsync(ListModelExplainabilityJobDefinitionsRequest request)
AmazonSageMakerAsync
Lists model explainability job definitions that satisfy various filters.
listModelExplainabilityJobDefinitionsAsync
in interface AmazonSageMakerAsync
public Future<ListModelExplainabilityJobDefinitionsResult> listModelExplainabilityJobDefinitionsAsync(ListModelExplainabilityJobDefinitionsRequest request, AsyncHandler<ListModelExplainabilityJobDefinitionsRequest,ListModelExplainabilityJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsync
Lists model explainability job definitions that satisfy various filters.
listModelExplainabilityJobDefinitionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelMetadataResult> listModelMetadataAsync(ListModelMetadataRequest request)
AmazonSageMakerAsync
Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
listModelMetadataAsync
in interface AmazonSageMakerAsync
public Future<ListModelMetadataResult> listModelMetadataAsync(ListModelMetadataRequest request, AsyncHandler<ListModelMetadataRequest,ListModelMetadataResult> asyncHandler)
AmazonSageMakerAsync
Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
listModelMetadataAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelPackageGroupsResult> listModelPackageGroupsAsync(ListModelPackageGroupsRequest request)
AmazonSageMakerAsync
Gets a list of the model groups in your Amazon Web Services account.
listModelPackageGroupsAsync
in interface AmazonSageMakerAsync
public Future<ListModelPackageGroupsResult> listModelPackageGroupsAsync(ListModelPackageGroupsRequest request, AsyncHandler<ListModelPackageGroupsRequest,ListModelPackageGroupsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of the model groups in your Amazon Web Services account.
listModelPackageGroupsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelPackagesResult> listModelPackagesAsync(ListModelPackagesRequest request)
AmazonSageMakerAsync
Lists the model packages that have been created.
listModelPackagesAsync
in interface AmazonSageMakerAsync
public Future<ListModelPackagesResult> listModelPackagesAsync(ListModelPackagesRequest request, AsyncHandler<ListModelPackagesRequest,ListModelPackagesResult> asyncHandler)
AmazonSageMakerAsync
Lists the model packages that have been created.
listModelPackagesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelQualityJobDefinitionsResult> listModelQualityJobDefinitionsAsync(ListModelQualityJobDefinitionsRequest request)
AmazonSageMakerAsync
Gets a list of model quality monitoring job definitions in your account.
listModelQualityJobDefinitionsAsync
in interface AmazonSageMakerAsync
public Future<ListModelQualityJobDefinitionsResult> listModelQualityJobDefinitionsAsync(ListModelQualityJobDefinitionsRequest request, AsyncHandler<ListModelQualityJobDefinitionsRequest,ListModelQualityJobDefinitionsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of model quality monitoring job definitions in your account.
listModelQualityJobDefinitionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListModelsResult> listModelsAsync(ListModelsRequest request)
AmazonSageMakerAsync
Lists models created with the CreateModel
API.
listModelsAsync
in interface AmazonSageMakerAsync
public Future<ListModelsResult> listModelsAsync(ListModelsRequest request, AsyncHandler<ListModelsRequest,ListModelsResult> asyncHandler)
AmazonSageMakerAsync
Lists models created with the CreateModel
API.
listModelsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringAlertHistoryResult> listMonitoringAlertHistoryAsync(ListMonitoringAlertHistoryRequest request)
AmazonSageMakerAsync
Gets a list of past alerts in a model monitoring schedule.
listMonitoringAlertHistoryAsync
in interface AmazonSageMakerAsync
public Future<ListMonitoringAlertHistoryResult> listMonitoringAlertHistoryAsync(ListMonitoringAlertHistoryRequest request, AsyncHandler<ListMonitoringAlertHistoryRequest,ListMonitoringAlertHistoryResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of past alerts in a model monitoring schedule.
listMonitoringAlertHistoryAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringAlertsResult> listMonitoringAlertsAsync(ListMonitoringAlertsRequest request)
AmazonSageMakerAsync
Gets the alerts for a single monitoring schedule.
listMonitoringAlertsAsync
in interface AmazonSageMakerAsync
public Future<ListMonitoringAlertsResult> listMonitoringAlertsAsync(ListMonitoringAlertsRequest request, AsyncHandler<ListMonitoringAlertsRequest,ListMonitoringAlertsResult> asyncHandler)
AmazonSageMakerAsync
Gets the alerts for a single monitoring schedule.
listMonitoringAlertsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringExecutionsResult> listMonitoringExecutionsAsync(ListMonitoringExecutionsRequest request)
AmazonSageMakerAsync
Returns list of all monitoring job executions.
listMonitoringExecutionsAsync
in interface AmazonSageMakerAsync
public Future<ListMonitoringExecutionsResult> listMonitoringExecutionsAsync(ListMonitoringExecutionsRequest request, AsyncHandler<ListMonitoringExecutionsRequest,ListMonitoringExecutionsResult> asyncHandler)
AmazonSageMakerAsync
Returns list of all monitoring job executions.
listMonitoringExecutionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListMonitoringSchedulesResult> listMonitoringSchedulesAsync(ListMonitoringSchedulesRequest request)
AmazonSageMakerAsync
Returns list of all monitoring schedules.
listMonitoringSchedulesAsync
in interface AmazonSageMakerAsync
public Future<ListMonitoringSchedulesResult> listMonitoringSchedulesAsync(ListMonitoringSchedulesRequest request, AsyncHandler<ListMonitoringSchedulesRequest,ListMonitoringSchedulesResult> asyncHandler)
AmazonSageMakerAsync
Returns list of all monitoring schedules.
listMonitoringSchedulesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListNotebookInstanceLifecycleConfigsResult> listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request)
AmazonSageMakerAsync
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
listNotebookInstanceLifecycleConfigsAsync
in interface AmazonSageMakerAsync
public Future<ListNotebookInstanceLifecycleConfigsResult> listNotebookInstanceLifecycleConfigsAsync(ListNotebookInstanceLifecycleConfigsRequest request, AsyncHandler<ListNotebookInstanceLifecycleConfigsRequest,ListNotebookInstanceLifecycleConfigsResult> asyncHandler)
AmazonSageMakerAsync
Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
listNotebookInstanceLifecycleConfigsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListNotebookInstancesResult> listNotebookInstancesAsync(ListNotebookInstancesRequest request)
AmazonSageMakerAsync
Returns a list of the SageMaker notebook instances in the requester's account in an Amazon Web Services Region.
listNotebookInstancesAsync
in interface AmazonSageMakerAsync
public Future<ListNotebookInstancesResult> listNotebookInstancesAsync(ListNotebookInstancesRequest request, AsyncHandler<ListNotebookInstancesRequest,ListNotebookInstancesResult> asyncHandler)
AmazonSageMakerAsync
Returns a list of the SageMaker notebook instances in the requester's account in an Amazon Web Services Region.
listNotebookInstancesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelineExecutionStepsResult> listPipelineExecutionStepsAsync(ListPipelineExecutionStepsRequest request)
AmazonSageMakerAsync
Gets a list of PipeLineExecutionStep
objects.
listPipelineExecutionStepsAsync
in interface AmazonSageMakerAsync
public Future<ListPipelineExecutionStepsResult> listPipelineExecutionStepsAsync(ListPipelineExecutionStepsRequest request, AsyncHandler<ListPipelineExecutionStepsRequest,ListPipelineExecutionStepsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of PipeLineExecutionStep
objects.
listPipelineExecutionStepsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelineExecutionsResult> listPipelineExecutionsAsync(ListPipelineExecutionsRequest request)
AmazonSageMakerAsync
Gets a list of the pipeline executions.
listPipelineExecutionsAsync
in interface AmazonSageMakerAsync
public Future<ListPipelineExecutionsResult> listPipelineExecutionsAsync(ListPipelineExecutionsRequest request, AsyncHandler<ListPipelineExecutionsRequest,ListPipelineExecutionsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of the pipeline executions.
listPipelineExecutionsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelineParametersForExecutionResult> listPipelineParametersForExecutionAsync(ListPipelineParametersForExecutionRequest request)
AmazonSageMakerAsync
Gets a list of parameters for a pipeline execution.
listPipelineParametersForExecutionAsync
in interface AmazonSageMakerAsync
public Future<ListPipelineParametersForExecutionResult> listPipelineParametersForExecutionAsync(ListPipelineParametersForExecutionRequest request, AsyncHandler<ListPipelineParametersForExecutionRequest,ListPipelineParametersForExecutionResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of parameters for a pipeline execution.
listPipelineParametersForExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListPipelinesResult> listPipelinesAsync(ListPipelinesRequest request)
AmazonSageMakerAsync
Gets a list of pipelines.
listPipelinesAsync
in interface AmazonSageMakerAsync
public Future<ListPipelinesResult> listPipelinesAsync(ListPipelinesRequest request, AsyncHandler<ListPipelinesRequest,ListPipelinesResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of pipelines.
listPipelinesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListProcessingJobsResult> listProcessingJobsAsync(ListProcessingJobsRequest request)
AmazonSageMakerAsync
Lists processing jobs that satisfy various filters.
listProcessingJobsAsync
in interface AmazonSageMakerAsync
public Future<ListProcessingJobsResult> listProcessingJobsAsync(ListProcessingJobsRequest request, AsyncHandler<ListProcessingJobsRequest,ListProcessingJobsResult> asyncHandler)
AmazonSageMakerAsync
Lists processing jobs that satisfy various filters.
listProcessingJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListProjectsResult> listProjectsAsync(ListProjectsRequest request)
AmazonSageMakerAsync
Gets a list of the projects in an Amazon Web Services account.
listProjectsAsync
in interface AmazonSageMakerAsync
public Future<ListProjectsResult> listProjectsAsync(ListProjectsRequest request, AsyncHandler<ListProjectsRequest,ListProjectsResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of the projects in an Amazon Web Services account.
listProjectsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListResourceCatalogsResult> listResourceCatalogsAsync(ListResourceCatalogsRequest request)
AmazonSageMakerAsync
Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of
ResourceCatalog
s viewable is 1000.
listResourceCatalogsAsync
in interface AmazonSageMakerAsync
public Future<ListResourceCatalogsResult> listResourceCatalogsAsync(ListResourceCatalogsRequest request, AsyncHandler<ListResourceCatalogsRequest,ListResourceCatalogsResult> asyncHandler)
AmazonSageMakerAsync
Lists Amazon SageMaker Catalogs based on given filters and orders. The maximum number of
ResourceCatalog
s viewable is 1000.
listResourceCatalogsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListSpacesResult> listSpacesAsync(ListSpacesRequest request)
AmazonSageMakerAsync
Lists spaces.
listSpacesAsync
in interface AmazonSageMakerAsync
public Future<ListSpacesResult> listSpacesAsync(ListSpacesRequest request, AsyncHandler<ListSpacesRequest,ListSpacesResult> asyncHandler)
AmazonSageMakerAsync
Lists spaces.
listSpacesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListStageDevicesResult> listStageDevicesAsync(ListStageDevicesRequest request)
AmazonSageMakerAsync
Lists devices allocated to the stage, containing detailed device information and deployment status.
listStageDevicesAsync
in interface AmazonSageMakerAsync
public Future<ListStageDevicesResult> listStageDevicesAsync(ListStageDevicesRequest request, AsyncHandler<ListStageDevicesRequest,ListStageDevicesResult> asyncHandler)
AmazonSageMakerAsync
Lists devices allocated to the stage, containing detailed device information and deployment status.
listStageDevicesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListStudioLifecycleConfigsResult> listStudioLifecycleConfigsAsync(ListStudioLifecycleConfigsRequest request)
AmazonSageMakerAsync
Lists the Studio Lifecycle Configurations in your Amazon Web Services Account.
listStudioLifecycleConfigsAsync
in interface AmazonSageMakerAsync
public Future<ListStudioLifecycleConfigsResult> listStudioLifecycleConfigsAsync(ListStudioLifecycleConfigsRequest request, AsyncHandler<ListStudioLifecycleConfigsRequest,ListStudioLifecycleConfigsResult> asyncHandler)
AmazonSageMakerAsync
Lists the Studio Lifecycle Configurations in your Amazon Web Services Account.
listStudioLifecycleConfigsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTagsResult> listTagsAsync(ListTagsRequest request)
AmazonSageMakerAsync
Returns the tags for the specified SageMaker resource.
listTagsAsync
in interface AmazonSageMakerAsync
public Future<ListTagsResult> listTagsAsync(ListTagsRequest request, AsyncHandler<ListTagsRequest,ListTagsResult> asyncHandler)
AmazonSageMakerAsync
Returns the tags for the specified SageMaker resource.
listTagsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrainingJobsResult> listTrainingJobsAsync(ListTrainingJobsRequest request)
AmazonSageMakerAsync
Lists training jobs.
When StatusEquals
and MaxResults
are set at the same time, the MaxResults
number of training jobs are first retrieved ignoring the StatusEquals
parameter and then they are
filtered by the StatusEquals
parameter, which is returned as a response.
For example, if ListTrainingJobs
is invoked with the following parameters:
{ ... MaxResults: 100, StatusEquals: InProgress ... }
First, 100 trainings jobs with any status, including those other than InProgress
, are selected
(sorted according to the creation time, from the most current to the oldest). Next, those with a status of
InProgress
are returned.
You can quickly test the API using the following Amazon Web Services CLI code.
aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress
listTrainingJobsAsync
in interface AmazonSageMakerAsync
public Future<ListTrainingJobsResult> listTrainingJobsAsync(ListTrainingJobsRequest request, AsyncHandler<ListTrainingJobsRequest,ListTrainingJobsResult> asyncHandler)
AmazonSageMakerAsync
Lists training jobs.
When StatusEquals
and MaxResults
are set at the same time, the MaxResults
number of training jobs are first retrieved ignoring the StatusEquals
parameter and then they are
filtered by the StatusEquals
parameter, which is returned as a response.
For example, if ListTrainingJobs
is invoked with the following parameters:
{ ... MaxResults: 100, StatusEquals: InProgress ... }
First, 100 trainings jobs with any status, including those other than InProgress
, are selected
(sorted according to the creation time, from the most current to the oldest). Next, those with a status of
InProgress
are returned.
You can quickly test the API using the following Amazon Web Services CLI code.
aws sagemaker list-training-jobs --max-results 100 --status-equals InProgress
listTrainingJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrainingJobsForHyperParameterTuningJobResult> listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request)
AmazonSageMakerAsync
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
listTrainingJobsForHyperParameterTuningJobAsync
in interface AmazonSageMakerAsync
public Future<ListTrainingJobsForHyperParameterTuningJobResult> listTrainingJobsForHyperParameterTuningJobAsync(ListTrainingJobsForHyperParameterTuningJobRequest request, AsyncHandler<ListTrainingJobsForHyperParameterTuningJobRequest,ListTrainingJobsForHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsync
Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
listTrainingJobsForHyperParameterTuningJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTransformJobsResult> listTransformJobsAsync(ListTransformJobsRequest request)
AmazonSageMakerAsync
Lists transform jobs.
listTransformJobsAsync
in interface AmazonSageMakerAsync
public Future<ListTransformJobsResult> listTransformJobsAsync(ListTransformJobsRequest request, AsyncHandler<ListTransformJobsRequest,ListTransformJobsResult> asyncHandler)
AmazonSageMakerAsync
Lists transform jobs.
listTransformJobsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrialComponentsResult> listTrialComponentsAsync(ListTrialComponentsRequest request)
AmazonSageMakerAsync
Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
listTrialComponentsAsync
in interface AmazonSageMakerAsync
public Future<ListTrialComponentsResult> listTrialComponentsAsync(ListTrialComponentsRequest request, AsyncHandler<ListTrialComponentsRequest,ListTrialComponentsResult> asyncHandler)
AmazonSageMakerAsync
Lists the trial components in your account. You can sort the list by trial component name or creation time. You can filter the list to show only components that were created in a specific time range. You can also filter on one of the following:
ExperimentName
SourceArn
TrialName
listTrialComponentsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrialsResult> listTrialsAsync(ListTrialsRequest request)
AmazonSageMakerAsync
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
listTrialsAsync
in interface AmazonSageMakerAsync
public Future<ListTrialsResult> listTrialsAsync(ListTrialsRequest request, AsyncHandler<ListTrialsRequest,ListTrialsResult> asyncHandler)
AmazonSageMakerAsync
Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. Specify a trial component name to limit the list to the trials that associated with that trial component. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
listTrialsAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListUserProfilesResult> listUserProfilesAsync(ListUserProfilesRequest request)
AmazonSageMakerAsync
Lists user profiles.
listUserProfilesAsync
in interface AmazonSageMakerAsync
public Future<ListUserProfilesResult> listUserProfilesAsync(ListUserProfilesRequest request, AsyncHandler<ListUserProfilesRequest,ListUserProfilesResult> asyncHandler)
AmazonSageMakerAsync
Lists user profiles.
listUserProfilesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListWorkforcesResult> listWorkforcesAsync(ListWorkforcesRequest request)
AmazonSageMakerAsync
Use this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.
listWorkforcesAsync
in interface AmazonSageMakerAsync
public Future<ListWorkforcesResult> listWorkforcesAsync(ListWorkforcesRequest request, AsyncHandler<ListWorkforcesRequest,ListWorkforcesResult> asyncHandler)
AmazonSageMakerAsync
Use this operation to list all private and vendor workforces in an Amazon Web Services Region. Note that you can only have one private workforce per Amazon Web Services Region.
listWorkforcesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<PutModelPackageGroupPolicyResult> putModelPackageGroupPolicyAsync(PutModelPackageGroupPolicyRequest request)
AmazonSageMakerAsync
Adds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
putModelPackageGroupPolicyAsync
in interface AmazonSageMakerAsync
public Future<PutModelPackageGroupPolicyResult> putModelPackageGroupPolicyAsync(PutModelPackageGroupPolicyRequest request, AsyncHandler<PutModelPackageGroupPolicyRequest,PutModelPackageGroupPolicyResult> asyncHandler)
AmazonSageMakerAsync
Adds a resouce policy to control access to a model group. For information about resoure policies, see Identity-based policies and resource-based policies in the Amazon Web Services Identity and Access Management User Guide..
putModelPackageGroupPolicyAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<QueryLineageResult> queryLineageAsync(QueryLineageRequest request)
AmazonSageMakerAsync
Use this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.
queryLineageAsync
in interface AmazonSageMakerAsync
public Future<QueryLineageResult> queryLineageAsync(QueryLineageRequest request, AsyncHandler<QueryLineageRequest,QueryLineageResult> asyncHandler)
AmazonSageMakerAsync
Use this action to inspect your lineage and discover relationships between entities. For more information, see Querying Lineage Entities in the Amazon SageMaker Developer Guide.
queryLineageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RegisterDevicesResult> registerDevicesAsync(RegisterDevicesRequest request)
AmazonSageMakerAsync
Register devices.
registerDevicesAsync
in interface AmazonSageMakerAsync
public Future<RegisterDevicesResult> registerDevicesAsync(RegisterDevicesRequest request, AsyncHandler<RegisterDevicesRequest,RegisterDevicesResult> asyncHandler)
AmazonSageMakerAsync
Register devices.
registerDevicesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RenderUiTemplateResult> renderUiTemplateAsync(RenderUiTemplateRequest request)
AmazonSageMakerAsync
Renders the UI template so that you can preview the worker's experience.
renderUiTemplateAsync
in interface AmazonSageMakerAsync
public Future<RenderUiTemplateResult> renderUiTemplateAsync(RenderUiTemplateRequest request, AsyncHandler<RenderUiTemplateRequest,RenderUiTemplateResult> asyncHandler)
AmazonSageMakerAsync
Renders the UI template so that you can preview the worker's experience.
renderUiTemplateAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<RetryPipelineExecutionResult> retryPipelineExecutionAsync(RetryPipelineExecutionRequest request)
AmazonSageMakerAsync
Retry the execution of the pipeline.
retryPipelineExecutionAsync
in interface AmazonSageMakerAsync
public Future<RetryPipelineExecutionResult> retryPipelineExecutionAsync(RetryPipelineExecutionRequest request, AsyncHandler<RetryPipelineExecutionRequest,RetryPipelineExecutionResult> asyncHandler)
AmazonSageMakerAsync
Retry the execution of the pipeline.
retryPipelineExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SendPipelineExecutionStepFailureResult> sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest request)
AmazonSageMakerAsync
Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepFailureAsync
in interface AmazonSageMakerAsync
public Future<SendPipelineExecutionStepFailureResult> sendPipelineExecutionStepFailureAsync(SendPipelineExecutionStepFailureRequest request, AsyncHandler<SendPipelineExecutionStepFailureRequest,SendPipelineExecutionStepFailureResult> asyncHandler)
AmazonSageMakerAsync
Notifies the pipeline that the execution of a callback step failed, along with a message describing why. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepFailureAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<SendPipelineExecutionStepSuccessResult> sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest request)
AmazonSageMakerAsync
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepSuccessAsync
in interface AmazonSageMakerAsync
public Future<SendPipelineExecutionStepSuccessResult> sendPipelineExecutionStepSuccessAsync(SendPipelineExecutionStepSuccessRequest request, AsyncHandler<SendPipelineExecutionStepSuccessRequest,SendPipelineExecutionStepSuccessResult> asyncHandler)
AmazonSageMakerAsync
Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters. When a callback step is run, the pipeline generates a callback token and includes the token in a message sent to Amazon Simple Queue Service (Amazon SQS).
sendPipelineExecutionStepSuccessAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartEdgeDeploymentStageResult> startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest request)
AmazonSageMakerAsync
Starts a stage in an edge deployment plan.
startEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
public Future<StartEdgeDeploymentStageResult> startEdgeDeploymentStageAsync(StartEdgeDeploymentStageRequest request, AsyncHandler<StartEdgeDeploymentStageRequest,StartEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsync
Starts a stage in an edge deployment plan.
startEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartInferenceExperimentResult> startInferenceExperimentAsync(StartInferenceExperimentRequest request)
AmazonSageMakerAsync
Starts an inference experiment.
startInferenceExperimentAsync
in interface AmazonSageMakerAsync
public Future<StartInferenceExperimentResult> startInferenceExperimentAsync(StartInferenceExperimentRequest request, AsyncHandler<StartInferenceExperimentRequest,StartInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsync
Starts an inference experiment.
startInferenceExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartMonitoringScheduleResult> startMonitoringScheduleAsync(StartMonitoringScheduleRequest request)
AmazonSageMakerAsync
Starts 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 AmazonSageMakerAsync
public Future<StartMonitoringScheduleResult> startMonitoringScheduleAsync(StartMonitoringScheduleRequest request, AsyncHandler<StartMonitoringScheduleRequest,StartMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsync
Starts 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartPipelineExecutionResult> startPipelineExecutionAsync(StartPipelineExecutionRequest request)
AmazonSageMakerAsync
Starts a pipeline execution.
startPipelineExecutionAsync
in interface AmazonSageMakerAsync
public Future<StartPipelineExecutionResult> startPipelineExecutionAsync(StartPipelineExecutionRequest request, AsyncHandler<StartPipelineExecutionRequest,StartPipelineExecutionResult> asyncHandler)
AmazonSageMakerAsync
Starts a pipeline execution.
startPipelineExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopAutoMLJobResult> stopAutoMLJobAsync(StopAutoMLJobRequest request)
AmazonSageMakerAsync
A method for forcing a running job to shut down.
stopAutoMLJobAsync
in interface AmazonSageMakerAsync
public Future<StopAutoMLJobResult> stopAutoMLJobAsync(StopAutoMLJobRequest request, AsyncHandler<StopAutoMLJobRequest,StopAutoMLJobResult> asyncHandler)
AmazonSageMakerAsync
A method for forcing a running job to shut down.
stopAutoMLJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopCompilationJobResult> stopCompilationJobAsync(StopCompilationJobRequest request)
AmazonSageMakerAsync
Stops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob
request, Amazon SageMaker changes the
CompilationJobStatus
of the job to Stopping
. After Amazon SageMaker stops the job, it
sets the CompilationJobStatus
to Stopped
.
stopCompilationJobAsync
in interface AmazonSageMakerAsync
public Future<StopCompilationJobResult> stopCompilationJobAsync(StopCompilationJobRequest request, AsyncHandler<StopCompilationJobRequest,StopCompilationJobResult> asyncHandler)
AmazonSageMakerAsync
Stops a model compilation job.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal.
When it receives a StopCompilationJob
request, Amazon SageMaker changes the
CompilationJobStatus
of the job to Stopping
. After Amazon SageMaker stops the job, it
sets the CompilationJobStatus
to Stopped
.
stopCompilationJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopEdgeDeploymentStageResult> stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest request)
AmazonSageMakerAsync
Stops a stage in an edge deployment plan.
stopEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
public Future<StopEdgeDeploymentStageResult> stopEdgeDeploymentStageAsync(StopEdgeDeploymentStageRequest request, AsyncHandler<StopEdgeDeploymentStageRequest,StopEdgeDeploymentStageResult> asyncHandler)
AmazonSageMakerAsync
Stops a stage in an edge deployment plan.
stopEdgeDeploymentStageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopEdgePackagingJobResult> stopEdgePackagingJobAsync(StopEdgePackagingJobRequest request)
AmazonSageMakerAsync
Request to stop an edge packaging job.
stopEdgePackagingJobAsync
in interface AmazonSageMakerAsync
public Future<StopEdgePackagingJobResult> stopEdgePackagingJobAsync(StopEdgePackagingJobRequest request, AsyncHandler<StopEdgePackagingJobRequest,StopEdgePackagingJobResult> asyncHandler)
AmazonSageMakerAsync
Request to stop an edge packaging job.
stopEdgePackagingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopHyperParameterTuningJobResult> stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request)
AmazonSageMakerAsync
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All
data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning
job moves to the Stopped
state, it releases all reserved resources for the tuning job.
stopHyperParameterTuningJobAsync
in interface AmazonSageMakerAsync
public Future<StopHyperParameterTuningJobResult> stopHyperParameterTuningJobAsync(StopHyperParameterTuningJobRequest request, AsyncHandler<StopHyperParameterTuningJobRequest,StopHyperParameterTuningJobResult> asyncHandler)
AmazonSageMakerAsync
Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
All model artifacts output from the training jobs are stored in Amazon Simple Storage Service (Amazon S3). All
data that the training jobs write to Amazon CloudWatch Logs are still available in CloudWatch. After the tuning
job moves to the Stopped
state, it releases all reserved resources for the tuning job.
stopHyperParameterTuningJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopInferenceExperimentResult> stopInferenceExperimentAsync(StopInferenceExperimentRequest request)
AmazonSageMakerAsync
Stops an inference experiment.
stopInferenceExperimentAsync
in interface AmazonSageMakerAsync
public Future<StopInferenceExperimentResult> stopInferenceExperimentAsync(StopInferenceExperimentRequest request, AsyncHandler<StopInferenceExperimentRequest,StopInferenceExperimentResult> asyncHandler)
AmazonSageMakerAsync
Stops an inference experiment.
stopInferenceExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopInferenceRecommendationsJobResult> stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest request)
AmazonSageMakerAsync
Stops an Inference Recommender job.
stopInferenceRecommendationsJobAsync
in interface AmazonSageMakerAsync
public Future<StopInferenceRecommendationsJobResult> stopInferenceRecommendationsJobAsync(StopInferenceRecommendationsJobRequest request, AsyncHandler<StopInferenceRecommendationsJobRequest,StopInferenceRecommendationsJobResult> asyncHandler)
AmazonSageMakerAsync
Stops an Inference Recommender job.
stopInferenceRecommendationsJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopLabelingJobResult> stopLabelingJobAsync(StopLabelingJobRequest request)
AmazonSageMakerAsync
Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
stopLabelingJobAsync
in interface AmazonSageMakerAsync
public Future<StopLabelingJobResult> stopLabelingJobAsync(StopLabelingJobRequest request, AsyncHandler<StopLabelingJobRequest,StopLabelingJobResult> asyncHandler)
AmazonSageMakerAsync
Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
stopLabelingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopMonitoringScheduleResult> stopMonitoringScheduleAsync(StopMonitoringScheduleRequest request)
AmazonSageMakerAsync
Stops a previously started monitoring schedule.
stopMonitoringScheduleAsync
in interface AmazonSageMakerAsync
public Future<StopMonitoringScheduleResult> stopMonitoringScheduleAsync(StopMonitoringScheduleRequest request, AsyncHandler<StopMonitoringScheduleRequest,StopMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsync
Stops a previously started monitoring schedule.
stopMonitoringScheduleAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopPipelineExecutionResult> stopPipelineExecutionAsync(StopPipelineExecutionRequest request)
AmazonSageMakerAsync
Stops a pipeline execution.
Callback Step
A pipeline execution won't stop while a callback step is running. When you call
StopPipelineExecution
on a pipeline execution with a running callback step, SageMaker Pipelines
sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a
"Status" field which is set to "Stopping".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource
cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess
or
SendPipelineExecutionStepFailure
.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the
lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the
pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then
stops. If the Lambda function finishes, the pipeline execution status is Stopped
. If the timeout is
hit the pipeline execution status is Failed
.
stopPipelineExecutionAsync
in interface AmazonSageMakerAsync
public Future<StopPipelineExecutionResult> stopPipelineExecutionAsync(StopPipelineExecutionRequest request, AsyncHandler<StopPipelineExecutionRequest,StopPipelineExecutionResult> asyncHandler)
AmazonSageMakerAsync
Stops a pipeline execution.
Callback Step
A pipeline execution won't stop while a callback step is running. When you call
StopPipelineExecution
on a pipeline execution with a running callback step, SageMaker Pipelines
sends an additional Amazon SQS message to the specified SQS queue. The body of the SQS message contains a
"Status" field which is set to "Stopping".
You should add logic to your Amazon SQS message consumer to take any needed action (for example, resource
cleanup) upon receipt of the message followed by a call to SendPipelineExecutionStepSuccess
or
SendPipelineExecutionStepFailure
.
Only when SageMaker Pipelines receives one of these calls will it stop the pipeline execution.
Lambda Step
A pipeline execution can't be stopped while a lambda step is running because the Lambda function invoked by the
lambda step can't be stopped. If you attempt to stop the execution while the Lambda function is running, the
pipeline waits for the Lambda function to finish or until the timeout is hit, whichever occurs first, and then
stops. If the Lambda function finishes, the pipeline execution status is Stopped
. If the timeout is
hit the pipeline execution status is Failed
.
stopPipelineExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopProcessingJobResult> stopProcessingJobAsync(StopProcessingJobRequest request)
AmazonSageMakerAsync
Stops a processing job.
stopProcessingJobAsync
in interface AmazonSageMakerAsync
public Future<StopProcessingJobResult> stopProcessingJobAsync(StopProcessingJobRequest request, AsyncHandler<StopProcessingJobRequest,StopProcessingJobResult> asyncHandler)
AmazonSageMakerAsync
Stops a processing job.
stopProcessingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StopTransformJobResult> stopTransformJobAsync(StopTransformJobRequest request)
AmazonSageMakerAsync
Stops a batch transform job.
When Amazon SageMaker receives a StopTransformJob
request, the status of the job changes to
Stopping
. After Amazon SageMaker stops the job, the status is set to Stopped
. When you
stop a batch transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
stopTransformJobAsync
in interface AmazonSageMakerAsync
public Future<StopTransformJobResult> stopTransformJobAsync(StopTransformJobRequest request, AsyncHandler<StopTransformJobRequest,StopTransformJobResult> asyncHandler)
AmazonSageMakerAsync
Stops a batch transform job.
When Amazon SageMaker receives a StopTransformJob
request, the status of the job changes to
Stopping
. After Amazon SageMaker stops the job, the status is set to Stopped
. When you
stop a batch transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.
stopTransformJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateActionResult> updateActionAsync(UpdateActionRequest request)
AmazonSageMakerAsync
Updates an action.
updateActionAsync
in interface AmazonSageMakerAsync
public Future<UpdateActionResult> updateActionAsync(UpdateActionRequest request, AsyncHandler<UpdateActionRequest,UpdateActionResult> asyncHandler)
AmazonSageMakerAsync
Updates an action.
updateActionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateAppImageConfigResult> updateAppImageConfigAsync(UpdateAppImageConfigRequest request)
AmazonSageMakerAsync
Updates the properties of an AppImageConfig.
updateAppImageConfigAsync
in interface AmazonSageMakerAsync
public Future<UpdateAppImageConfigResult> updateAppImageConfigAsync(UpdateAppImageConfigRequest request, AsyncHandler<UpdateAppImageConfigRequest,UpdateAppImageConfigResult> asyncHandler)
AmazonSageMakerAsync
Updates the properties of an AppImageConfig.
updateAppImageConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateArtifactResult> updateArtifactAsync(UpdateArtifactRequest request)
AmazonSageMakerAsync
Updates an artifact.
updateArtifactAsync
in interface AmazonSageMakerAsync
public Future<UpdateArtifactResult> updateArtifactAsync(UpdateArtifactRequest request, AsyncHandler<UpdateArtifactRequest,UpdateArtifactResult> asyncHandler)
AmazonSageMakerAsync
Updates an artifact.
updateArtifactAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateCodeRepositoryResult> updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request)
AmazonSageMakerAsync
Updates the specified Git repository with the specified values.
updateCodeRepositoryAsync
in interface AmazonSageMakerAsync
public Future<UpdateCodeRepositoryResult> updateCodeRepositoryAsync(UpdateCodeRepositoryRequest request, AsyncHandler<UpdateCodeRepositoryRequest,UpdateCodeRepositoryResult> asyncHandler)
AmazonSageMakerAsync
Updates the specified Git repository with the specified values.
updateCodeRepositoryAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateContextResult> updateContextAsync(UpdateContextRequest request)
AmazonSageMakerAsync
Updates a context.
updateContextAsync
in interface AmazonSageMakerAsync
public Future<UpdateContextResult> updateContextAsync(UpdateContextRequest request, AsyncHandler<UpdateContextRequest,UpdateContextResult> asyncHandler)
AmazonSageMakerAsync
Updates a context.
updateContextAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDeviceFleetResult> updateDeviceFleetAsync(UpdateDeviceFleetRequest request)
AmazonSageMakerAsync
Updates a fleet of devices.
updateDeviceFleetAsync
in interface AmazonSageMakerAsync
public Future<UpdateDeviceFleetResult> updateDeviceFleetAsync(UpdateDeviceFleetRequest request, AsyncHandler<UpdateDeviceFleetRequest,UpdateDeviceFleetResult> asyncHandler)
AmazonSageMakerAsync
Updates a fleet of devices.
updateDeviceFleetAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDevicesResult> updateDevicesAsync(UpdateDevicesRequest request)
AmazonSageMakerAsync
Updates one or more devices in a fleet.
updateDevicesAsync
in interface AmazonSageMakerAsync
public Future<UpdateDevicesResult> updateDevicesAsync(UpdateDevicesRequest request, AsyncHandler<UpdateDevicesRequest,UpdateDevicesResult> asyncHandler)
AmazonSageMakerAsync
Updates one or more devices in a fleet.
updateDevicesAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateDomainResult> updateDomainAsync(UpdateDomainRequest request)
AmazonSageMakerAsync
Updates the default settings for new user profiles in the domain.
updateDomainAsync
in interface AmazonSageMakerAsync
public Future<UpdateDomainResult> updateDomainAsync(UpdateDomainRequest request, AsyncHandler<UpdateDomainRequest,UpdateDomainResult> asyncHandler)
AmazonSageMakerAsync
Updates the default settings for new user profiles in the domain.
updateDomainAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateEndpointResult> updateEndpointAsync(UpdateEndpointRequest request)
AmazonSageMakerAsync
Deploys the new EndpointConfig
specified in the request, switches to using newly created endpoint,
and then deletes resources provisioned for the endpoint using the previous EndpointConfig
(there is
no availability loss).
When 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 AmazonSageMakerAsync
public Future<UpdateEndpointResult> updateEndpointAsync(UpdateEndpointRequest request, AsyncHandler<UpdateEndpointRequest,UpdateEndpointResult> asyncHandler)
AmazonSageMakerAsync
Deploys the new EndpointConfig
specified in the request, switches to using newly created endpoint,
and then deletes resources provisioned for the endpoint using the previous EndpointConfig
(there is
no availability loss).
When 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateExperimentResult> updateExperimentAsync(UpdateExperimentRequest request)
AmazonSageMakerAsync
Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
updateExperimentAsync
in interface AmazonSageMakerAsync
public Future<UpdateExperimentResult> updateExperimentAsync(UpdateExperimentRequest request, AsyncHandler<UpdateExperimentRequest,UpdateExperimentResult> asyncHandler)
AmazonSageMakerAsync
Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
updateExperimentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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
.
updateFeatureGroupAsync
in interface AmazonSageMakerAsync
public 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
.
updateFeatureGroupAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateFeatureMetadataResult> updateFeatureMetadataAsync(UpdateFeatureMetadataRequest request)
AmazonSageMakerAsync
Updates the description and parameters of the feature group.
updateFeatureMetadataAsync
in interface AmazonSageMakerAsync
public Future<UpdateFeatureMetadataResult> updateFeatureMetadataAsync(UpdateFeatureMetadataRequest request, AsyncHandler<UpdateFeatureMetadataRequest,UpdateFeatureMetadataResult> asyncHandler)
AmazonSageMakerAsync
Updates the description and parameters of the feature group.
updateFeatureMetadataAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateHubResult> updateHubAsync(UpdateHubRequest request)
AmazonSageMakerAsync
Update a hub.
Hub APIs are only callable through SageMaker Studio.
updateHubAsync
in interface AmazonSageMakerAsync
public Future<UpdateHubResult> updateHubAsync(UpdateHubRequest request, AsyncHandler<UpdateHubRequest,UpdateHubResult> asyncHandler)
AmazonSageMakerAsync
Update a hub.
Hub APIs are only callable through SageMaker Studio.
updateHubAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateImageResult> updateImageAsync(UpdateImageRequest request)
AmazonSageMakerAsync
Updates the properties of a SageMaker image. To change the image's tags, use the AddTags and DeleteTags APIs.
updateImageAsync
in interface AmazonSageMakerAsync
public Future<UpdateImageResult> updateImageAsync(UpdateImageRequest request, AsyncHandler<UpdateImageRequest,UpdateImageResult> asyncHandler)
AmazonSageMakerAsync
Updates the properties of a SageMaker image. To change the image's tags, use the AddTags and DeleteTags APIs.
updateImageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateImageVersionResult> updateImageVersionAsync(UpdateImageVersionRequest request)
AmazonSageMakerAsync
Updates the properties of a SageMaker image version.
updateImageVersionAsync
in interface AmazonSageMakerAsync
public Future<UpdateImageVersionResult> updateImageVersionAsync(UpdateImageVersionRequest request, AsyncHandler<UpdateImageVersionRequest,UpdateImageVersionResult> asyncHandler)
AmazonSageMakerAsync
Updates the properties of a SageMaker image version.
updateImageVersionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.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 AmazonSageMakerAsync
public 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateModelCardResult> updateModelCardAsync(UpdateModelCardRequest request)
AmazonSageMakerAsync
Update an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
updateModelCardAsync
in interface AmazonSageMakerAsync
public Future<UpdateModelCardResult> updateModelCardAsync(UpdateModelCardRequest request, AsyncHandler<UpdateModelCardRequest,UpdateModelCardResult> asyncHandler)
AmazonSageMakerAsync
Update an Amazon SageMaker Model Card.
You cannot update both model card content and model card status in a single call.
updateModelCardAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateModelPackageResult> updateModelPackageAsync(UpdateModelPackageRequest request)
AmazonSageMakerAsync
Updates a versioned model.
updateModelPackageAsync
in interface AmazonSageMakerAsync
public Future<UpdateModelPackageResult> updateModelPackageAsync(UpdateModelPackageRequest request, AsyncHandler<UpdateModelPackageRequest,UpdateModelPackageResult> asyncHandler)
AmazonSageMakerAsync
Updates a versioned model.
updateModelPackageAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateMonitoringAlertResult> updateMonitoringAlertAsync(UpdateMonitoringAlertRequest request)
AmazonSageMakerAsync
Update the parameters of a model monitor alert.
updateMonitoringAlertAsync
in interface AmazonSageMakerAsync
public Future<UpdateMonitoringAlertResult> updateMonitoringAlertAsync(UpdateMonitoringAlertRequest request, AsyncHandler<UpdateMonitoringAlertRequest,UpdateMonitoringAlertResult> asyncHandler)
AmazonSageMakerAsync
Update the parameters of a model monitor alert.
updateMonitoringAlertAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateMonitoringScheduleResult> updateMonitoringScheduleAsync(UpdateMonitoringScheduleRequest request)
AmazonSageMakerAsync
Updates a previously created schedule.
updateMonitoringScheduleAsync
in interface AmazonSageMakerAsync
public Future<UpdateMonitoringScheduleResult> updateMonitoringScheduleAsync(UpdateMonitoringScheduleRequest request, AsyncHandler<UpdateMonitoringScheduleRequest,UpdateMonitoringScheduleResult> asyncHandler)
AmazonSageMakerAsync
Updates a previously created schedule.
updateMonitoringScheduleAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateNotebookInstanceResult> updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request)
AmazonSageMakerAsync
Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
updateNotebookInstanceAsync
in interface AmazonSageMakerAsync
public Future<UpdateNotebookInstanceResult> updateNotebookInstanceAsync(UpdateNotebookInstanceRequest request, AsyncHandler<UpdateNotebookInstanceRequest,UpdateNotebookInstanceResult> asyncHandler)
AmazonSageMakerAsync
Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
updateNotebookInstanceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateNotebookInstanceLifecycleConfigResult> updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request)
AmazonSageMakerAsync
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
updateNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
public Future<UpdateNotebookInstanceLifecycleConfigResult> updateNotebookInstanceLifecycleConfigAsync(UpdateNotebookInstanceLifecycleConfigRequest request, AsyncHandler<UpdateNotebookInstanceLifecycleConfigRequest,UpdateNotebookInstanceLifecycleConfigResult> asyncHandler)
AmazonSageMakerAsync
Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
updateNotebookInstanceLifecycleConfigAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdatePipelineResult> updatePipelineAsync(UpdatePipelineRequest request)
AmazonSageMakerAsync
Updates a pipeline.
updatePipelineAsync
in interface AmazonSageMakerAsync
public Future<UpdatePipelineResult> updatePipelineAsync(UpdatePipelineRequest request, AsyncHandler<UpdatePipelineRequest,UpdatePipelineResult> asyncHandler)
AmazonSageMakerAsync
Updates a pipeline.
updatePipelineAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdatePipelineExecutionResult> updatePipelineExecutionAsync(UpdatePipelineExecutionRequest request)
AmazonSageMakerAsync
Updates a pipeline execution.
updatePipelineExecutionAsync
in interface AmazonSageMakerAsync
public Future<UpdatePipelineExecutionResult> updatePipelineExecutionAsync(UpdatePipelineExecutionRequest request, AsyncHandler<UpdatePipelineExecutionRequest,UpdatePipelineExecutionResult> asyncHandler)
AmazonSageMakerAsync
Updates a pipeline execution.
updatePipelineExecutionAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateProjectResult> updateProjectAsync(UpdateProjectRequest request)
AmazonSageMakerAsync
Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
You must not update a project that is in use. If you update the
ServiceCatalogProvisioningUpdateDetails
of a project that is active or being created, or updated,
you may lose resources already created by the project.
updateProjectAsync
in interface AmazonSageMakerAsync
public Future<UpdateProjectResult> updateProjectAsync(UpdateProjectRequest request, AsyncHandler<UpdateProjectRequest,UpdateProjectResult> asyncHandler)
AmazonSageMakerAsync
Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
You must not update a project that is in use. If you update the
ServiceCatalogProvisioningUpdateDetails
of a project that is active or being created, or updated,
you may lose resources already created by the project.
updateProjectAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateSpaceResult> updateSpaceAsync(UpdateSpaceRequest request)
AmazonSageMakerAsync
Updates the settings of a space.
updateSpaceAsync
in interface AmazonSageMakerAsync
public Future<UpdateSpaceResult> updateSpaceAsync(UpdateSpaceRequest request, AsyncHandler<UpdateSpaceRequest,UpdateSpaceResult> asyncHandler)
AmazonSageMakerAsync
Updates the settings of a space.
updateSpaceAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTrainingJobResult> updateTrainingJobAsync(UpdateTrainingJobRequest request)
AmazonSageMakerAsync
Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
updateTrainingJobAsync
in interface AmazonSageMakerAsync
public Future<UpdateTrainingJobResult> updateTrainingJobAsync(UpdateTrainingJobRequest request, AsyncHandler<UpdateTrainingJobRequest,UpdateTrainingJobResult> asyncHandler)
AmazonSageMakerAsync
Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
updateTrainingJobAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTrialResult> updateTrialAsync(UpdateTrialRequest request)
AmazonSageMakerAsync
Updates the display name of a trial.
updateTrialAsync
in interface AmazonSageMakerAsync
public Future<UpdateTrialResult> updateTrialAsync(UpdateTrialRequest request, AsyncHandler<UpdateTrialRequest,UpdateTrialResult> asyncHandler)
AmazonSageMakerAsync
Updates the display name of a trial.
updateTrialAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateTrialComponentResult> updateTrialComponentAsync(UpdateTrialComponentRequest request)
AmazonSageMakerAsync
Updates one or more properties of a trial component.
updateTrialComponentAsync
in interface AmazonSageMakerAsync
public Future<UpdateTrialComponentResult> updateTrialComponentAsync(UpdateTrialComponentRequest request, AsyncHandler<UpdateTrialComponentRequest,UpdateTrialComponentResult> asyncHandler)
AmazonSageMakerAsync
Updates one or more properties of a trial component.
updateTrialComponentAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateUserProfileResult> updateUserProfileAsync(UpdateUserProfileRequest request)
AmazonSageMakerAsync
Updates a user profile.
updateUserProfileAsync
in interface AmazonSageMakerAsync
public Future<UpdateUserProfileResult> updateUserProfileAsync(UpdateUserProfileRequest request, AsyncHandler<UpdateUserProfileRequest,UpdateUserProfileResult> asyncHandler)
AmazonSageMakerAsync
Updates a user profile.
updateUserProfileAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateWorkforceResult> updateWorkforceAsync(UpdateWorkforceRequest request)
AmazonSageMakerAsync
Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
The worker portal is now supported in VPC and public internet.
Use SourceIpConfig
to restrict worker access to tasks to a specific range of IP addresses. You
specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't
restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks
using any IP address outside the specified range are denied and get a Not Found
error message on the
worker portal.
To restrict 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 AmazonSageMakerAsync
public Future<UpdateWorkforceResult> updateWorkforceAsync(UpdateWorkforceRequest request, AsyncHandler<UpdateWorkforceRequest,UpdateWorkforceResult> asyncHandler)
AmazonSageMakerAsync
Use this operation to update your workforce. You can use this operation to require that workers use specific IP addresses to work on tasks and to update your OpenID Connect (OIDC) Identity Provider (IdP) workforce configuration.
The worker portal is now supported in VPC and public internet.
Use SourceIpConfig
to restrict worker access to tasks to a specific range of IP addresses. You
specify allowed IP addresses by creating a list of up to ten CIDRs. By default, a workforce isn't
restricted to specific IP addresses. If you specify a range of IP addresses, workers who attempt to access tasks
using any IP address outside the specified range are denied and get a Not Found
error message on the
worker portal.
To restrict 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 AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateWorkteamResult> updateWorkteamAsync(UpdateWorkteamRequest request)
AmazonSageMakerAsync
Updates an existing work team with new member definitions or description.
updateWorkteamAsync
in interface AmazonSageMakerAsync
public Future<UpdateWorkteamResult> updateWorkteamAsync(UpdateWorkteamRequest request, AsyncHandler<UpdateWorkteamRequest,UpdateWorkteamResult> asyncHandler)
AmazonSageMakerAsync
Updates an existing work team with new member definitions or description.
updateWorkteamAsync
in interface AmazonSageMakerAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public void shutdown()
getExecutorService().shutdown()
followed by getExecutorService().awaitTermination()
prior to
calling this method.shutdown
in interface AmazonSageMaker
shutdown
in class AmazonSageMakerClient