| Class | Description |
|---|---|
| ActionSource |
A structure describing the source of an action.
|
| ActionSummary |
Lists the properties of an action.
|
| AddAssociationRequest | |
| AddAssociationResult | |
| AdditionalInferenceSpecificationDefinition |
A structure of additional Inference Specification.
|
| AddTagsRequest | |
| AddTagsResult | |
| AgentVersion |
Edge Manager agent version.
|
| Alarm |
An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
|
| AlgorithmSpecification |
Specifies the training algorithm to use in a CreateTrainingJob request.
|
| AlgorithmStatusDetails |
Specifies the validation and image scan statuses of the algorithm.
|
| AlgorithmStatusItem |
Represents the overall status of an algorithm.
|
| AlgorithmSummary |
Provides summary information about an algorithm.
|
| AlgorithmValidationProfile |
Defines a training job and a batch transform job that Amazon SageMaker runs to validate your algorithm.
|
| AlgorithmValidationSpecification |
Specifies configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
|
| AnnotationConsolidationConfig |
Configures how labels are consolidated across human workers and processes output data.
|
| AppDetails |
Details about an Amazon SageMaker app.
|
| AppImageConfigDetails |
The configuration for running a SageMaker image as a KernelGateway app.
|
| AppSpecification |
Configuration to run a processing job in a specified container image.
|
| ArtifactSource |
A structure describing the source of an artifact.
|
| ArtifactSourceType |
The ID and ID type of an artifact source.
|
| ArtifactSummary |
Lists a summary of the properties of an artifact.
|
| AssociateTrialComponentRequest | |
| AssociateTrialComponentResult | |
| AssociationSummary |
Lists a summary of the properties of an association.
|
| AsyncInferenceClientConfig |
Configures the behavior of the client used by Amazon SageMaker to interact with the model container during
asynchronous inference.
|
| AsyncInferenceConfig |
Specifies configuration for how an endpoint performs asynchronous inference.
|
| AsyncInferenceNotificationConfig |
Specifies the configuration for notifications of inference results for asynchronous inference.
|
| AsyncInferenceOutputConfig |
Specifies the configuration for asynchronous inference invocation outputs.
|
| AthenaDatasetDefinition |
Configuration for Athena Dataset Definition input.
|
| AutoMLCandidate |
Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
|
| AutoMLCandidateStep |
Information about the steps for a candidate and what step it is working on.
|
| AutoMLChannel |
A channel is a named input source that training algorithms can consume.
|
| AutoMLContainerDefinition |
A list of container definitions that describe the different containers that make up an AutoML candidate.
|
| AutoMLDataSource |
The data source for the Autopilot job.
|
| AutoMLJobArtifacts |
The artifacts that are generated during an AutoML job.
|
| AutoMLJobCompletionCriteria |
How long a job is allowed to run, or how many candidates a job is allowed to generate.
|
| AutoMLJobConfig |
A collection of settings used for an AutoML job.
|
| AutoMLJobObjective |
Specifies a metric to minimize or maximize as the objective of a job.
|
| AutoMLJobSummary |
Provides a summary about an AutoML job.
|
| AutoMLOutputDataConfig |
The output data configuration.
|
| AutoMLPartialFailureReason |
The reason for a partial failure of an AutoML job.
|
| AutoMLS3DataSource |
The Amazon S3 data source.
|
| AutoMLSecurityConfig |
Security options.
|
| AutoRollbackConfig |
Automatic rollback configuration for handling endpoint deployment failures and recovery.
|
| BatchDescribeModelPackageError |
The error code and error description associated with the resource.
|
| BatchDescribeModelPackageRequest | |
| BatchDescribeModelPackageResult | |
| BatchDescribeModelPackageSummary |
Provides summary information about the model package.
|
| Bias |
Contains bias metrics for a model.
|
| BlueGreenUpdatePolicy |
Update policy for a blue/green deployment.
|
| CacheHitResult |
Details on the cache hit of a pipeline execution step.
|
| CallbackStepMetadata |
Metadata about a callback step.
|
| CandidateArtifactLocations |
The location of artifacts for an AutoML candidate job.
|
| CandidateProperties |
The properties of an AutoML candidate job.
|
| CapacitySize |
Specifies the endpoint capacity to activate for production.
|
| CaptureContentTypeHeader |
|
| CaptureOption |
|
| CategoricalParameter |
Environment parameters you want to benchmark your load test against.
|
| CategoricalParameterRange |
A list of categorical hyperparameters to tune.
|
| CategoricalParameterRangeSpecification |
Defines the possible values for a categorical hyperparameter.
|
| Channel |
A channel is a named input source that training algorithms can consume.
|
| ChannelSpecification |
Defines a named input source, called a channel, to be used by an algorithm.
|
| CheckpointConfig |
Contains information about the output location for managed spot training checkpoint data.
|
| ClarifyCheckStepMetadata |
The container for the metadata for the ClarifyCheck step.
|
| CodeRepositorySummary |
Specifies summary information about a Git repository.
|
| CognitoConfig |
Use this parameter to configure your Amazon Cognito workforce.
|
| CognitoMemberDefinition |
Identifies a Amazon Cognito user group.
|
| CollectionConfiguration |
Configuration information for the Debugger output tensor collections.
|
| CompilationJobSummary |
A summary of a model compilation job.
|
| ConditionStepMetadata |
Metadata for a Condition step.
|
| ContainerDefinition |
Describes the container, as part of model definition.
|
| ContextSource |
A structure describing the source of a context.
|
| ContextSummary |
Lists a summary of the properties of a context.
|
| ContinuousParameterRange |
A list of continuous hyperparameters to tune.
|
| ContinuousParameterRangeSpecification |
Defines the possible values for a continuous hyperparameter.
|
| CreateActionRequest | |
| CreateActionResult | |
| CreateAlgorithmRequest | |
| CreateAlgorithmResult | |
| CreateAppImageConfigRequest | |
| CreateAppImageConfigResult | |
| CreateAppRequest | |
| CreateAppResult | |
| CreateArtifactRequest | |
| CreateArtifactResult | |
| CreateAutoMLJobRequest | |
| CreateAutoMLJobResult | |
| CreateCodeRepositoryRequest | |
| CreateCodeRepositoryResult | |
| CreateCompilationJobRequest | |
| CreateCompilationJobResult | |
| CreateContextRequest | |
| CreateContextResult | |
| CreateDataQualityJobDefinitionRequest | |
| CreateDataQualityJobDefinitionResult | |
| CreateDeviceFleetRequest | |
| CreateDeviceFleetResult | |
| CreateDomainRequest | |
| CreateDomainResult | |
| CreateEdgePackagingJobRequest | |
| CreateEdgePackagingJobResult | |
| CreateEndpointConfigRequest | |
| CreateEndpointConfigResult | |
| CreateEndpointRequest | |
| CreateEndpointResult | |
| CreateExperimentRequest | |
| CreateExperimentResult | |
| CreateFeatureGroupRequest | |
| CreateFeatureGroupResult | |
| CreateFlowDefinitionRequest | |
| CreateFlowDefinitionResult | |
| CreateHumanTaskUiRequest | |
| CreateHumanTaskUiResult | |
| CreateHyperParameterTuningJobRequest | |
| CreateHyperParameterTuningJobResult | |
| CreateImageRequest | |
| CreateImageResult | |
| CreateImageVersionRequest | |
| CreateImageVersionResult | |
| CreateInferenceRecommendationsJobRequest | |
| CreateInferenceRecommendationsJobResult | |
| CreateLabelingJobRequest | |
| CreateLabelingJobResult | |
| CreateModelBiasJobDefinitionRequest | |
| CreateModelBiasJobDefinitionResult | |
| CreateModelExplainabilityJobDefinitionRequest | |
| CreateModelExplainabilityJobDefinitionResult | |
| CreateModelPackageGroupRequest | |
| CreateModelPackageGroupResult | |
| CreateModelPackageRequest | |
| CreateModelPackageResult | |
| CreateModelQualityJobDefinitionRequest | |
| CreateModelQualityJobDefinitionResult | |
| CreateModelRequest | |
| CreateModelResult | |
| CreateMonitoringScheduleRequest | |
| CreateMonitoringScheduleResult | |
| CreateNotebookInstanceLifecycleConfigRequest | |
| CreateNotebookInstanceLifecycleConfigResult | |
| CreateNotebookInstanceRequest | |
| CreateNotebookInstanceResult | |
| CreatePipelineRequest | |
| CreatePipelineResult | |
| CreatePresignedDomainUrlRequest | |
| CreatePresignedDomainUrlResult | |
| CreatePresignedNotebookInstanceUrlRequest | |
| CreatePresignedNotebookInstanceUrlResult | |
| CreateProcessingJobRequest | |
| CreateProcessingJobResult | |
| CreateProjectRequest | |
| CreateProjectResult | |
| CreateStudioLifecycleConfigRequest | |
| CreateStudioLifecycleConfigResult | |
| CreateTrainingJobRequest | |
| CreateTrainingJobResult | |
| CreateTransformJobRequest | |
| CreateTransformJobResult | |
| CreateTrialComponentRequest | |
| CreateTrialComponentResult | |
| CreateTrialRequest | |
| CreateTrialResult | |
| CreateUserProfileRequest | |
| CreateUserProfileResult | |
| CreateWorkforceRequest | |
| CreateWorkforceResult | |
| CreateWorkteamRequest | |
| CreateWorkteamResult | |
| CustomImage |
A custom SageMaker image.
|
| DataCaptureConfig |
|
| DataCaptureConfigSummary |
|
| DataCatalogConfig |
The meta data of the Glue table which serves as data catalog for the
OfflineStore. |
| DataProcessing |
The data structure used to specify the data to be used for inference in a batch transform job and to associate the
data that is relevant to the prediction results in the output.
|
| DataQualityAppSpecification |
Information about the container that a data quality monitoring job runs.
|
| DataQualityBaselineConfig |
Configuration for monitoring constraints and monitoring statistics.
|
| DataQualityJobInput |
The input for the data quality monitoring job.
|
| DatasetDefinition |
Configuration for Dataset Definition inputs.
|
| DataSource |
Describes the location of the channel data.
|
| DebugHookConfig |
Configuration information for the Debugger hook parameters, metric and tensor collections, and storage paths.
|
| DebugRuleConfiguration |
Configuration information for SageMaker Debugger rules for debugging.
|
| DebugRuleEvaluationStatus |
Information about the status of the rule evaluation.
|
| DeleteActionRequest | |
| DeleteActionResult | |
| DeleteAlgorithmRequest | |
| DeleteAlgorithmResult | |
| DeleteAppImageConfigRequest | |
| DeleteAppImageConfigResult | |
| DeleteAppRequest | |
| DeleteAppResult | |
| DeleteArtifactRequest | |
| DeleteArtifactResult | |
| DeleteAssociationRequest | |
| DeleteAssociationResult | |
| DeleteCodeRepositoryRequest | |
| DeleteCodeRepositoryResult | |
| DeleteContextRequest | |
| DeleteContextResult | |
| DeleteDataQualityJobDefinitionRequest | |
| DeleteDataQualityJobDefinitionResult | |
| DeleteDeviceFleetRequest | |
| DeleteDeviceFleetResult | |
| DeleteDomainRequest | |
| DeleteDomainResult | |
| DeleteEndpointConfigRequest | |
| DeleteEndpointConfigResult | |
| DeleteEndpointRequest | |
| DeleteEndpointResult | |
| DeleteExperimentRequest | |
| DeleteExperimentResult | |
| DeleteFeatureGroupRequest | |
| DeleteFeatureGroupResult | |
| DeleteFlowDefinitionRequest | |
| DeleteFlowDefinitionResult | |
| DeleteHumanTaskUiRequest | |
| DeleteHumanTaskUiResult | |
| DeleteImageRequest | |
| DeleteImageResult | |
| DeleteImageVersionRequest | |
| DeleteImageVersionResult | |
| DeleteModelBiasJobDefinitionRequest | |
| DeleteModelBiasJobDefinitionResult | |
| DeleteModelExplainabilityJobDefinitionRequest | |
| DeleteModelExplainabilityJobDefinitionResult | |
| DeleteModelPackageGroupPolicyRequest | |
| DeleteModelPackageGroupPolicyResult | |
| DeleteModelPackageGroupRequest | |
| DeleteModelPackageGroupResult | |
| DeleteModelPackageRequest | |
| DeleteModelPackageResult | |
| DeleteModelQualityJobDefinitionRequest | |
| DeleteModelQualityJobDefinitionResult | |
| DeleteModelRequest | |
| DeleteModelResult | |
| DeleteMonitoringScheduleRequest | |
| DeleteMonitoringScheduleResult | |
| DeleteNotebookInstanceLifecycleConfigRequest | |
| DeleteNotebookInstanceLifecycleConfigResult | |
| DeleteNotebookInstanceRequest | |
| DeleteNotebookInstanceResult | |
| DeletePipelineRequest | |
| DeletePipelineResult | |
| DeleteProjectRequest | |
| DeleteProjectResult | |
| DeleteStudioLifecycleConfigRequest | |
| DeleteStudioLifecycleConfigResult | |
| DeleteTagsRequest | |
| DeleteTagsResult | |
| DeleteTrialComponentRequest | |
| DeleteTrialComponentResult | |
| DeleteTrialRequest | |
| DeleteTrialResult | |
| DeleteUserProfileRequest | |
| DeleteUserProfileResult | |
| DeleteWorkforceRequest | |
| DeleteWorkforceResult | |
| DeleteWorkteamRequest | |
| DeleteWorkteamResult | |
| DeployedImage |
Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this
ProductionVariant.
|
| DeploymentConfig |
The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback
configurations.
|
| DeregisterDevicesRequest | |
| DeregisterDevicesResult | |
| DescribeActionRequest | |
| DescribeActionResult | |
| DescribeAlgorithmRequest | |
| DescribeAlgorithmResult | |
| DescribeAppImageConfigRequest | |
| DescribeAppImageConfigResult | |
| DescribeAppRequest | |
| DescribeAppResult | |
| DescribeArtifactRequest | |
| DescribeArtifactResult | |
| DescribeAutoMLJobRequest | |
| DescribeAutoMLJobResult | |
| DescribeCodeRepositoryRequest | |
| DescribeCodeRepositoryResult | |
| DescribeCompilationJobRequest | |
| DescribeCompilationJobResult | |
| DescribeContextRequest | |
| DescribeContextResult | |
| DescribeDataQualityJobDefinitionRequest | |
| DescribeDataQualityJobDefinitionResult | |
| DescribeDeviceFleetRequest | |
| DescribeDeviceFleetResult | |
| DescribeDeviceRequest | |
| DescribeDeviceResult | |
| DescribeDomainRequest | |
| DescribeDomainResult | |
| DescribeEdgePackagingJobRequest | |
| DescribeEdgePackagingJobResult | |
| DescribeEndpointConfigRequest | |
| DescribeEndpointConfigResult | |
| DescribeEndpointRequest | |
| DescribeEndpointResult | |
| DescribeExperimentRequest | |
| DescribeExperimentResult | |
| DescribeFeatureGroupRequest | |
| DescribeFeatureGroupResult | |
| DescribeFlowDefinitionRequest | |
| DescribeFlowDefinitionResult | |
| DescribeHumanTaskUiRequest | |
| DescribeHumanTaskUiResult | |
| DescribeHyperParameterTuningJobRequest | |
| DescribeHyperParameterTuningJobResult | |
| DescribeImageRequest | |
| DescribeImageResult | |
| DescribeImageVersionRequest | |
| DescribeImageVersionResult | |
| DescribeInferenceRecommendationsJobRequest | |
| DescribeInferenceRecommendationsJobResult | |
| DescribeLabelingJobRequest | |
| DescribeLabelingJobResult | |
| DescribeLineageGroupRequest | |
| DescribeLineageGroupResult | |
| DescribeModelBiasJobDefinitionRequest | |
| DescribeModelBiasJobDefinitionResult | |
| DescribeModelExplainabilityJobDefinitionRequest | |
| DescribeModelExplainabilityJobDefinitionResult | |
| DescribeModelPackageGroupRequest | |
| DescribeModelPackageGroupResult | |
| DescribeModelPackageRequest | |
| DescribeModelPackageResult | |
| DescribeModelQualityJobDefinitionRequest | |
| DescribeModelQualityJobDefinitionResult | |
| DescribeModelRequest | |
| DescribeModelResult | |
| DescribeMonitoringScheduleRequest | |
| DescribeMonitoringScheduleResult | |
| DescribeNotebookInstanceLifecycleConfigRequest | |
| DescribeNotebookInstanceLifecycleConfigResult | |
| DescribeNotebookInstanceRequest | |
| DescribeNotebookInstanceResult | |
| DescribePipelineDefinitionForExecutionRequest | |
| DescribePipelineDefinitionForExecutionResult | |
| DescribePipelineExecutionRequest | |
| DescribePipelineExecutionResult | |
| DescribePipelineRequest | |
| DescribePipelineResult | |
| DescribeProcessingJobRequest | |
| DescribeProcessingJobResult | |
| DescribeProjectRequest | |
| DescribeProjectResult | |
| DescribeStudioLifecycleConfigRequest | |
| DescribeStudioLifecycleConfigResult | |
| DescribeSubscribedWorkteamRequest | |
| DescribeSubscribedWorkteamResult | |
| DescribeTrainingJobRequest | |
| DescribeTrainingJobResult | |
| DescribeTransformJobRequest | |
| DescribeTransformJobResult | |
| DescribeTrialComponentRequest | |
| DescribeTrialComponentResult | |
| DescribeTrialRequest | |
| DescribeTrialResult | |
| DescribeUserProfileRequest | |
| DescribeUserProfileResult | |
| DescribeWorkforceRequest | |
| DescribeWorkforceResult | |
| DescribeWorkteamRequest | |
| DescribeWorkteamResult | |
| DesiredWeightAndCapacity |
Specifies weight and capacity values for a production variant.
|
| Device |
Information of a particular device.
|
| DeviceFleetSummary |
Summary of the device fleet.
|
| DeviceStats |
Status of devices.
|
| DeviceSummary |
Summary of the device.
|
| DisableSagemakerServicecatalogPortfolioRequest | |
| DisableSagemakerServicecatalogPortfolioResult | |
| DisassociateTrialComponentRequest | |
| DisassociateTrialComponentResult | |
| DomainDetails |
The domain's details.
|
| DomainSettings |
A collection of settings that apply to the
SageMaker Domain. |
| DomainSettingsForUpdate |
A collection of
Domain configuration settings to update. |
| DriftCheckBaselines |
Represents the drift check baselines that can be used when the model monitor is set using the model package.
|
| DriftCheckBias |
Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
|
| DriftCheckExplainability |
Represents the drift check explainability baselines that can be used when the model monitor is set using the model
package.
|
| DriftCheckModelDataQuality |
Represents the drift check data quality baselines that can be used when the model monitor is set using the model
package.
|
| DriftCheckModelQuality |
Represents the drift check model quality baselines that can be used when the model monitor is set using the model
package.
|
| Edge |
A directed edge connecting two lineage entities.
|
| EdgeModel |
The model on the edge device.
|
| EdgeModelStat |
Status of edge devices with this model.
|
| EdgeModelSummary |
Summary of model on edge device.
|
| EdgeOutputConfig |
The output configuration.
|
| EdgePackagingJobSummary |
Summary of edge packaging job.
|
| EdgePresetDeploymentOutput |
The output of a SageMaker Edge Manager deployable resource.
|
| EMRStepMetadata |
The configurations and outcomes of an Amazon EMR step execution.
|
| EnableSagemakerServicecatalogPortfolioRequest | |
| EnableSagemakerServicecatalogPortfolioResult | |
| Endpoint |
A hosted endpoint for real-time inference.
|
| EndpointConfigSummary |
Provides summary information for an endpoint configuration.
|
| EndpointInput |
Input object for the endpoint
|
| EndpointInputConfiguration |
The endpoint configuration for the load test.
|
| EndpointOutputConfiguration |
The endpoint configuration made by Inference Recommender during a recommendation job.
|
| EndpointSummary |
Provides summary information for an endpoint.
|
| EnvironmentParameter |
A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.
|
| EnvironmentParameterRanges |
Specifies the range of environment parameters
|
| Experiment |
The properties of an experiment as returned by the Search API.
|
| ExperimentConfig |
Associates a SageMaker job as a trial component with an experiment and trial.
|
| ExperimentSource |
The source of the experiment.
|
| ExperimentSummary |
A summary of the properties of an experiment.
|
| Explainability |
Contains explainability metrics for a model.
|
| FeatureDefinition |
A list of features.
|
| FeatureGroup |
Amazon SageMaker Feature Store stores features in a collection called Feature Group.
|
| FeatureGroupSummary |
The name, Arn,
CreationTime, FeatureGroup values, LastUpdatedTime and
EnableOnlineStorage status of a FeatureGroup. |
| FileSource |
Contains details regarding the file source.
|
| FileSystemConfig |
The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.
|
| FileSystemDataSource |
Specifies a file system data source for a channel.
|
| Filter |
A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
|
| FinalAutoMLJobObjectiveMetric |
The best candidate result from an AutoML training job.
|
| FinalHyperParameterTuningJobObjectiveMetric |
Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job.
|
| FlowDefinitionOutputConfig |
Contains information about where human output will be stored.
|
| FlowDefinitionSummary |
Contains summary information about the flow definition.
|
| GetDeviceFleetReportRequest | |
| GetDeviceFleetReportResult | |
| GetLineageGroupPolicyRequest | |
| GetLineageGroupPolicyResult | |
| GetModelPackageGroupPolicyRequest | |
| GetModelPackageGroupPolicyResult | |
| GetSagemakerServicecatalogPortfolioStatusRequest | |
| GetSagemakerServicecatalogPortfolioStatusResult | |
| GetSearchSuggestionsRequest | |
| GetSearchSuggestionsResult | |
| GitConfig |
Specifies configuration details for a Git repository in your Amazon Web Services account.
|
| GitConfigForUpdate |
Specifies configuration details for a Git repository when the repository is updated.
|
| HumanLoopActivationConditionsConfig |
Defines under what conditions SageMaker creates a human loop.
|
| HumanLoopActivationConfig |
Provides information about how and under what conditions SageMaker creates a human loop.
|
| HumanLoopConfig |
Describes the work to be performed by human workers.
|
| HumanLoopRequestSource |
Container for configuring the source of human task requests.
|
| HumanTaskConfig |
Information required for human workers to complete a labeling task.
|
| HumanTaskUiSummary |
Container for human task user interface information.
|
| HyperParameterAlgorithmSpecification |
Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics
to monitor.
|
| HyperParameterSpecification |
Defines a hyperparameter to be used by an algorithm.
|
| HyperParameterTrainingJobDefinition |
Defines the training jobs launched by a hyperparameter tuning job.
|
| HyperParameterTrainingJobSummary |
Specifies summary information about a training job.
|
| HyperParameterTuningJobConfig |
Configures a hyperparameter tuning job.
|
| HyperParameterTuningJobObjective |
Defines the objective metric for a hyperparameter tuning job.
|
| HyperParameterTuningJobSummary |
Provides summary information about a hyperparameter tuning job.
|
| HyperParameterTuningJobWarmStartConfig |
Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs
as a starting point.
|
| Image |
A SageMaker image.
|
| ImageConfig |
Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon
Virtual Private Cloud (VPC).
|
| ImageVersion |
A version of a SageMaker
Image. |
| InferenceExecutionConfig |
Specifies details about how containers in a multi-container endpoint are run.
|
| InferenceRecommendation |
A list of recommendations made by Amazon SageMaker Inference Recommender.
|
| InferenceRecommendationsJob |
A structure that contains a list of recommendation jobs.
|
| InferenceSpecification |
Defines how to perform inference generation after a training job is run.
|
| InputConfig |
Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and
the framework in which the model was trained.
|
| IntegerParameterRange |
For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
|
| IntegerParameterRangeSpecification |
Defines the possible values for an integer hyperparameter.
|
| JupyterServerAppSettings |
The JupyterServer app settings.
|
| KernelGatewayAppSettings |
The KernelGateway app settings.
|
| KernelGatewayImageConfig |
The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.
|
| KernelSpec |
The specification of a Jupyter kernel.
|
| LabelCounters |
Provides a breakdown of the number of objects labeled.
|
| LabelCountersForWorkteam |
Provides counts for human-labeled tasks in the labeling job.
|
| LabelingJobAlgorithmsConfig |
Provides configuration information for auto-labeling of your data objects.
|
| LabelingJobDataAttributes |
Attributes of the data specified by the customer.
|
| LabelingJobDataSource |
Provides information about the location of input data.
|
| LabelingJobForWorkteamSummary |
Provides summary information for a work team.
|
| LabelingJobInputConfig |
Input configuration information for a labeling job.
|
| LabelingJobOutput |
Specifies the location of the output produced by the labeling job.
|
| LabelingJobOutputConfig |
Output configuration information for a labeling job.
|
| LabelingJobResourceConfig |
Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling
model training and inference.
|
| LabelingJobS3DataSource |
The Amazon S3 location of the input data objects.
|
| LabelingJobSnsDataSource |
An Amazon SNS data source used for streaming labeling jobs.
|
| LabelingJobStoppingConditions |
A set of conditions for stopping a labeling job.
|
| LabelingJobSummary |
Provides summary information about a labeling job.
|
| LambdaStepMetadata |
Metadata for a Lambda step.
|
| LineageGroupSummary |
Lists a summary of the properties of a lineage group.
|
| ListActionsRequest | |
| ListActionsResult | |
| ListAlgorithmsRequest | |
| ListAlgorithmsResult | |
| ListAppImageConfigsRequest | |
| ListAppImageConfigsResult | |
| ListAppsRequest | |
| ListAppsResult | |
| ListArtifactsRequest | |
| ListArtifactsResult | |
| ListAssociationsRequest | |
| ListAssociationsResult | |
| ListAutoMLJobsRequest | |
| ListAutoMLJobsResult | |
| ListCandidatesForAutoMLJobRequest | |
| ListCandidatesForAutoMLJobResult | |
| ListCodeRepositoriesRequest | |
| ListCodeRepositoriesResult | |
| ListCompilationJobsRequest | |
| ListCompilationJobsResult | |
| ListContextsRequest | |
| ListContextsResult | |
| ListDataQualityJobDefinitionsRequest | |
| ListDataQualityJobDefinitionsResult | |
| ListDeviceFleetsRequest | |
| ListDeviceFleetsResult | |
| ListDevicesRequest | |
| ListDevicesResult | |
| ListDomainsRequest | |
| ListDomainsResult | |
| ListEdgePackagingJobsRequest | |
| ListEdgePackagingJobsResult | |
| ListEndpointConfigsRequest | |
| ListEndpointConfigsResult | |
| ListEndpointsRequest | |
| ListEndpointsResult | |
| ListExperimentsRequest | |
| ListExperimentsResult | |
| ListFeatureGroupsRequest | |
| ListFeatureGroupsResult | |
| ListFlowDefinitionsRequest | |
| ListFlowDefinitionsResult | |
| ListHumanTaskUisRequest | |
| ListHumanTaskUisResult | |
| ListHyperParameterTuningJobsRequest | |
| ListHyperParameterTuningJobsResult | |
| ListImagesRequest | |
| ListImagesResult | |
| ListImageVersionsRequest | |
| ListImageVersionsResult | |
| ListInferenceRecommendationsJobsRequest | |
| ListInferenceRecommendationsJobsResult | |
| ListLabelingJobsForWorkteamRequest | |
| ListLabelingJobsForWorkteamResult | |
| ListLabelingJobsRequest | |
| ListLabelingJobsResult | |
| ListLineageGroupsRequest | |
| ListLineageGroupsResult | |
| ListModelBiasJobDefinitionsRequest | |
| ListModelBiasJobDefinitionsResult | |
| ListModelExplainabilityJobDefinitionsRequest | |
| ListModelExplainabilityJobDefinitionsResult | |
| ListModelMetadataRequest | |
| ListModelMetadataResult | |
| ListModelPackageGroupsRequest | |
| ListModelPackageGroupsResult | |
| ListModelPackagesRequest | |
| ListModelPackagesResult | |
| ListModelQualityJobDefinitionsRequest | |
| ListModelQualityJobDefinitionsResult | |
| ListModelsRequest | |
| ListModelsResult | |
| ListMonitoringExecutionsRequest | |
| ListMonitoringExecutionsResult | |
| ListMonitoringSchedulesRequest | |
| ListMonitoringSchedulesResult | |
| ListNotebookInstanceLifecycleConfigsRequest | |
| ListNotebookInstanceLifecycleConfigsResult | |
| ListNotebookInstancesRequest | |
| ListNotebookInstancesResult | |
| ListPipelineExecutionsRequest | |
| ListPipelineExecutionsResult | |
| ListPipelineExecutionStepsRequest | |
| ListPipelineExecutionStepsResult | |
| ListPipelineParametersForExecutionRequest | |
| ListPipelineParametersForExecutionResult | |
| ListPipelinesRequest | |
| ListPipelinesResult | |
| ListProcessingJobsRequest | |
| ListProcessingJobsResult | |
| ListProjectsRequest | |
| ListProjectsResult | |
| ListStudioLifecycleConfigsRequest | |
| ListStudioLifecycleConfigsResult | |
| ListSubscribedWorkteamsRequest | |
| ListSubscribedWorkteamsResult | |
| ListTagsRequest | |
| ListTagsResult | |
| ListTrainingJobsForHyperParameterTuningJobRequest | |
| ListTrainingJobsForHyperParameterTuningJobResult | |
| ListTrainingJobsRequest | |
| ListTrainingJobsResult | |
| ListTransformJobsRequest | |
| ListTransformJobsResult | |
| ListTrialComponentsRequest | |
| ListTrialComponentsResult | |
| ListTrialsRequest | |
| ListTrialsResult | |
| ListUserProfilesRequest | |
| ListUserProfilesResult | |
| ListWorkforcesRequest | |
| ListWorkforcesResult | |
| ListWorkteamsRequest | |
| ListWorkteamsResult | |
| MemberDefinition |
Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
|
| MetadataProperties |
Metadata properties of the tracking entity, trial, or trial component.
|
| MetricData |
The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
|
| MetricDatum |
Information about the metric for a candidate produced by an AutoML job.
|
| MetricDefinition |
Specifies a metric that the training algorithm writes to
stderr or stdout. |
| MetricsSource |
|
| ModelArtifacts |
Provides information about the location that is configured for storing model artifacts.
|
| ModelBiasAppSpecification |
Docker container image configuration object for the model bias job.
|
| ModelBiasBaselineConfig |
The configuration for a baseline model bias job.
|
| ModelBiasJobInput |
Inputs for the model bias job.
|
| ModelClientConfig |
Configures the timeout and maximum number of retries for processing a transform job invocation.
|
| ModelConfiguration |
Defines the model configuration.
|
| ModelDataQuality |
Data quality constraints and statistics for a model.
|
| ModelDeployConfig |
Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
|
| ModelDeployResult |
Provides information about the endpoint of the model deployment.
|
| ModelDigests |
Provides information to verify the integrity of stored model artifacts.
|
| ModelExplainabilityAppSpecification |
Docker container image configuration object for the model explainability job.
|
| ModelExplainabilityBaselineConfig |
The configuration for a baseline model explainability job.
|
| ModelExplainabilityJobInput |
Inputs for the model explainability job.
|
| ModelInput |
Input object for the model.
|
| ModelLatencyThreshold |
The model latency threshold.
|
| ModelMetadataFilter |
Part of the search expression.
|
| ModelMetadataSearchExpression |
One or more filters that searches for the specified resource or resources in a search.
|
| ModelMetadataSummary |
A summary of the model metadata.
|
| ModelMetrics |
Contains metrics captured from a model.
|
| ModelPackage |
A versioned model that can be deployed for SageMaker inference.
|
| ModelPackageContainerDefinition |
Describes the Docker container for the model package.
|
| ModelPackageGroup |
A group of versioned models in the model registry.
|
| ModelPackageGroupSummary |
Summary information about a model group.
|
| ModelPackageStatusDetails |
Specifies the validation and image scan statuses of the model package.
|
| ModelPackageStatusItem |
Represents the overall status of a model package.
|
| ModelPackageSummary |
Provides summary information about a model package.
|
| ModelPackageValidationProfile |
Contains data, such as the inputs and targeted instance types that are used in the process of validating the model
package.
|
| ModelPackageValidationSpecification |
Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.
|
| ModelQuality |
Model quality statistics and constraints.
|
| ModelQualityAppSpecification |
Container image configuration object for the monitoring job.
|
| ModelQualityBaselineConfig |
Configuration for monitoring constraints and monitoring statistics.
|
| ModelQualityJobInput |
The input for the model quality monitoring job.
|
| ModelStepMetadata |
Metadata for Model steps.
|
| ModelSummary |
Provides summary information about a model.
|
| MonitoringAppSpecification |
Container image configuration object for the monitoring job.
|
| MonitoringBaselineConfig |
Configuration for monitoring constraints and monitoring statistics.
|
| MonitoringClusterConfig |
Configuration for the cluster used to run model monitoring jobs.
|
| MonitoringConstraintsResource |
The constraints resource for a monitoring job.
|
| MonitoringExecutionSummary |
Summary of information about the last monitoring job to run.
|
| MonitoringGroundTruthS3Input |
The ground truth labels for the dataset used for the monitoring job.
|
| MonitoringInput |
The inputs for a monitoring job.
|
| MonitoringJobDefinition |
Defines the monitoring job.
|
| MonitoringJobDefinitionSummary |
Summary information about a monitoring job.
|
| MonitoringNetworkConfig |
The networking configuration for the monitoring job.
|
| MonitoringOutput |
The output object for a monitoring job.
|
| MonitoringOutputConfig |
The output configuration for monitoring jobs.
|
| MonitoringResources |
Identifies the resources to deploy for a monitoring job.
|
| MonitoringS3Output |
Information about where and how you want to store the results of a monitoring job.
|
| MonitoringSchedule |
A schedule for a model monitoring job.
|
| MonitoringScheduleConfig |
Configures the monitoring schedule and defines the monitoring job.
|
| MonitoringScheduleSummary |
Summarizes the monitoring schedule.
|
| MonitoringStatisticsResource |
The statistics resource for a monitoring job.
|
| MonitoringStoppingCondition |
A time limit for how long the monitoring job is allowed to run before stopping.
|
| MultiModelConfig |
Specifies additional configuration for hosting multi-model endpoints.
|
| NeoVpcConfig |
The VpcConfig configuration object that specifies the VPC that you want the compilation jobs to connect to.
|
| NestedFilters |
A list of nested Filter objects.
|
| NetworkConfig |
Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and
outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
|
| NotebookInstanceLifecycleConfigSummary |
Provides a summary of a notebook instance lifecycle configuration.
|
| NotebookInstanceLifecycleHook |
Contains the notebook instance lifecycle configuration script.
|
| NotebookInstanceSummary |
Provides summary information for an Amazon SageMaker notebook instance.
|
| NotificationConfiguration |
Configures Amazon SNS notifications of available or expiring work items for work teams.
|
| ObjectiveStatusCounters |
Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of
their objective metric.
|
| OfflineStoreConfig |
The configuration of an
OfflineStore. |
| OfflineStoreStatus |
The status of
OfflineStore. |
| OidcConfig |
Use this parameter to configure your OIDC Identity Provider (IdP).
|
| OidcConfigForResponse |
Your OIDC IdP workforce configuration.
|
| OidcMemberDefinition |
A list of user groups that exist in your OIDC Identity Provider (IdP).
|
| OnlineStoreConfig |
Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or
KMSKeyId, for at
rest data encryption. |
| OnlineStoreSecurityConfig |
The security configuration for
OnlineStore. |
| OutputConfig |
Contains information about the output location for the compiled model and the target device that the model runs on.
|
| OutputDataConfig |
Provides information about how to store model training results (model artifacts).
|
| OutputParameter |
An output parameter of a pipeline step.
|
| ParallelismConfiguration |
Configuration that controls the parallelism of the pipeline.
|
| Parameter |
Assigns a value to a named Pipeline parameter.
|
| ParameterRange |
Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
|
| ParameterRanges |
Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches.
|
| Parent |
The trial that a trial component is associated with and the experiment the trial is part of.
|
| ParentHyperParameterTuningJob |
A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter
tuning job.
|
| PendingDeploymentSummary |
The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.
|
| PendingProductionVariantSummary |
The production variant summary for a deployment when an endpoint is creating or updating with the
CreateEndpoint or UpdateEndpoint operations. |
| Phase |
Defines the traffic pattern.
|
| Pipeline |
A SageMaker Model Building Pipeline instance.
|
| PipelineDefinitionS3Location |
The location of the pipeline definition stored in Amazon S3.
|
| PipelineExecution |
An execution of a pipeline.
|
| PipelineExecutionStep |
An execution of a step in a pipeline.
|
| PipelineExecutionStepMetadata |
Metadata for a step execution.
|
| PipelineExecutionSummary |
A pipeline execution summary.
|
| PipelineExperimentConfig |
Specifies the names of the experiment and trial created by a pipeline.
|
| PipelineSummary |
A summary of a pipeline.
|
| ProcessingClusterConfig |
Configuration for the cluster used to run a processing job.
|
| ProcessingFeatureStoreOutput |
Configuration for processing job outputs in Amazon SageMaker Feature Store.
|
| ProcessingInput |
The inputs for a processing job.
|
| ProcessingJob |
An Amazon SageMaker processing job that is used to analyze data and evaluate models.
|
| ProcessingJobStepMetadata |
Metadata for a processing job step.
|
| ProcessingJobSummary |
Summary of information about a processing job.
|
| ProcessingOutput |
Describes the results of a processing job.
|
| ProcessingOutputConfig |
Configuration for uploading output from the processing container.
|
| ProcessingResources |
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
|
| ProcessingS3Input |
Configuration for downloading input data from Amazon S3 into the processing container.
|
| ProcessingS3Output |
Configuration for uploading output data to Amazon S3 from the processing container.
|
| ProcessingStoppingCondition |
Configures conditions under which the processing job should be stopped, such as how long the processing job has been
running.
|
| ProductionVariant |
Identifies a model that you want to host and the resources chosen to deploy for hosting it.
|
| ProductionVariantCoreDumpConfig |
Specifies configuration for a core dump from the model container when the process crashes.
|
| ProductionVariantServerlessConfig |
|
| ProductionVariantStatus |
Describes the status of the production variant.
|
| ProductionVariantSummary |
Describes weight and capacities for a production variant associated with an endpoint.
|
| ProfilerConfig |
Configuration information for Debugger system monitoring, framework profiling, and storage paths.
|
| ProfilerConfigForUpdate |
Configuration information for updating the Debugger profile parameters, system and framework metrics configurations,
and storage paths.
|
| ProfilerRuleConfiguration |
Configuration information for profiling rules.
|
| ProfilerRuleEvaluationStatus |
Information about the status of the rule evaluation.
|
| Project |
The properties of a project as returned by the Search API.
|
| ProjectSummary |
Information about a project.
|
| PropertyNameQuery |
Part of the
SuggestionQuery type. |
| PropertyNameSuggestion |
A property name returned from a
GetSearchSuggestions call that specifies a value in the
PropertyNameQuery field. |
| ProvisioningParameter |
A key value pair used when you provision a project as a service catalog product.
|
| PublicWorkforceTaskPrice |
Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
|
| PutModelPackageGroupPolicyRequest | |
| PutModelPackageGroupPolicyResult | |
| QualityCheckStepMetadata |
Container for the metadata for a Quality check step.
|
| QueryFilters |
A set of filters to narrow the set of lineage entities connected to the
StartArn(s) returned by the
QueryLineage API action. |
| QueryLineageRequest | |
| QueryLineageResult | |
| RecommendationJobInputConfig |
The input configuration of the recommendation job.
|
| RecommendationJobResourceLimit |
Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.
|
| RecommendationJobStoppingConditions |
Specifies conditions for stopping a job.
|
| RecommendationMetrics |
The metrics of recommendations.
|
| RedshiftDatasetDefinition |
Configuration for Redshift Dataset Definition input.
|
| RegisterDevicesRequest | |
| RegisterDevicesResult | |
| RegisterModelStepMetadata |
Metadata for a register model job step.
|
| RenderableTask |
Contains input values for a task.
|
| RenderingError |
A description of an error that occurred while rendering the template.
|
| RenderUiTemplateRequest | |
| RenderUiTemplateResult | |
| RepositoryAuthConfig |
Specifies an authentication configuration for the private docker registry where your model image is hosted.
|
| ResolvedAttributes |
The resolved attributes.
|
| ResourceConfig |
Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
|
| ResourceLimits |
Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
|
| ResourceSpec |
Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.
|
| RetentionPolicy |
The retention policy for data stored on an Amazon Elastic File System (EFS) volume.
|
| RetryPipelineExecutionRequest | |
| RetryPipelineExecutionResult | |
| RetryStrategy |
The retry strategy to use when a training job fails due to an
InternalServerError. |
| RSessionAppSettings |
A collection of settings that apply to an
RSessionGateway app. |
| RStudioServerProAppSettings |
A collection of settings that configure user interaction with the
RStudioServerPro app. |
| RStudioServerProDomainSettings |
A collection of settings that configure the
RStudioServerPro Domain-level app. |
| RStudioServerProDomainSettingsForUpdate |
A collection of settings that update the current configuration for the
RStudioServerPro Domain-level
app. |
| S3DataSource |
Describes the S3 data source.
|
| S3StorageConfig |
The Amazon Simple Storage (Amazon S3) location and and security configuration for
OfflineStore. |
| ScheduleConfig |
Configuration details about the monitoring schedule.
|
| SearchExpression |
A multi-expression that searches for the specified resource or resources in a search.
|
| SearchRecord |
A single resource returned as part of the Search API response.
|
| SearchRequest | |
| SearchResult | |
| SecondaryStatusTransition |
An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions.
|
| SendPipelineExecutionStepFailureRequest | |
| SendPipelineExecutionStepFailureResult | |
| SendPipelineExecutionStepSuccessRequest | |
| SendPipelineExecutionStepSuccessResult | |
| ServiceCatalogProvisionedProductDetails |
Details of a provisioned service catalog product.
|
| ServiceCatalogProvisioningDetails |
Details that you specify to provision a service catalog product.
|
| ServiceCatalogProvisioningUpdateDetails |
Details that you specify to provision a service catalog product.
|
| SharingSettings |
Specifies options for sharing SageMaker Studio notebooks.
|
| ShuffleConfig |
A configuration for a shuffle option for input data in a channel.
|
| SourceAlgorithm |
Specifies an algorithm that was used to create the model package.
|
| SourceAlgorithmSpecification |
A list of algorithms that were used to create a model package.
|
| SourceIpConfig |
A list of IP address ranges (CIDRs).
|
| StartMonitoringScheduleRequest | |
| StartMonitoringScheduleResult | |
| StartNotebookInstanceRequest | |
| StartNotebookInstanceResult | |
| StartPipelineExecutionRequest | |
| StartPipelineExecutionResult | |
| StopAutoMLJobRequest | |
| StopAutoMLJobResult | |
| StopCompilationJobRequest | |
| StopCompilationJobResult | |
| StopEdgePackagingJobRequest | |
| StopEdgePackagingJobResult | |
| StopHyperParameterTuningJobRequest | |
| StopHyperParameterTuningJobResult | |
| StopInferenceRecommendationsJobRequest | |
| StopInferenceRecommendationsJobResult | |
| StopLabelingJobRequest | |
| StopLabelingJobResult | |
| StopMonitoringScheduleRequest | |
| StopMonitoringScheduleResult | |
| StopNotebookInstanceRequest | |
| StopNotebookInstanceResult | |
| StoppingCondition |
Specifies a limit to how long a model training job or model compilation job can run.
|
| StopPipelineExecutionRequest | |
| StopPipelineExecutionResult | |
| StopProcessingJobRequest | |
| StopProcessingJobResult | |
| StopTrainingJobRequest | |
| StopTrainingJobResult | |
| StopTransformJobRequest | |
| StopTransformJobResult | |
| StudioLifecycleConfigDetails |
Details of the Studio Lifecycle Configuration.
|
| SubscribedWorkteam |
Describes a work team of a vendor that does the a labelling job.
|
| SuggestionQuery |
Specified in the GetSearchSuggestions request.
|
| Tag |
A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services
resources.
|
| TargetPlatform |
Contains information about a target platform that you want your model to run on, such as OS, architecture, and
accelerators.
|
| TensorBoardAppSettings |
The TensorBoard app settings.
|
| TensorBoardOutputConfig |
Configuration of storage locations for the Debugger TensorBoard output data.
|
| TrafficPattern |
Defines the traffic pattern of the load test.
|
| TrafficRoutingConfig |
Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new
fleet.
|
| TrainingJob |
Contains information about a training job.
|
| TrainingJobDefinition |
Defines the input needed to run a training job using the algorithm.
|
| TrainingJobStatusCounters |
The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
|
| TrainingJobStepMetadata |
Metadata for a training job step.
|
| TrainingJobSummary |
Provides summary information about a training job.
|
| TrainingSpecification |
Defines how the algorithm is used for a training job.
|
| TransformDataSource |
Describes the location of the channel data.
|
| TransformInput |
Describes the input source of a transform job and the way the transform job consumes it.
|
| TransformJob |
A batch transform job.
|
| TransformJobDefinition |
Defines the input needed to run a transform job using the inference specification specified in the algorithm.
|
| TransformJobStepMetadata |
Metadata for a transform job step.
|
| TransformJobSummary |
Provides a summary of a transform job.
|
| TransformOutput |
Describes the results of a transform job.
|
| TransformResources |
Describes the resources, including ML instance types and ML instance count, to use for transform job.
|
| TransformS3DataSource |
Describes the S3 data source.
|
| Trial |
The properties of a trial as returned by the Search API.
|
| TrialComponent |
The properties of a trial component as returned by the Search API.
|
| TrialComponentArtifact |
Represents an input or output artifact of a trial component.
|
| TrialComponentMetricSummary |
A summary of the metrics of a trial component.
|
| TrialComponentParameterValue |
The value of a hyperparameter.
|
| TrialComponentSimpleSummary |
A short summary of a trial component.
|
| TrialComponentSource |
The Amazon Resource Name (ARN) and job type of the source of a trial component.
|
| TrialComponentSourceDetail |
Detailed information about the source of a trial component.
|
| TrialComponentStatus |
The status of the trial component.
|
| TrialComponentSummary |
A summary of the properties of a trial component.
|
| TrialSource |
The source of the trial.
|
| TrialSummary |
A summary of the properties of a trial.
|
| TuningJobCompletionCriteria |
The job completion criteria.
|
| TuningJobStepMetaData |
Metadata for a tuning step.
|
| UiConfig |
Provided configuration information for the worker UI for a labeling job.
|
| UiTemplate |
The Liquid template for the worker user interface.
|
| UiTemplateInfo |
Container for user interface template information.
|
| UpdateActionRequest | |
| UpdateActionResult | |
| UpdateAppImageConfigRequest | |
| UpdateAppImageConfigResult | |
| UpdateArtifactRequest | |
| UpdateArtifactResult | |
| UpdateCodeRepositoryRequest | |
| UpdateCodeRepositoryResult | |
| UpdateContextRequest | |
| UpdateContextResult | |
| UpdateDeviceFleetRequest | |
| UpdateDeviceFleetResult | |
| UpdateDevicesRequest | |
| UpdateDevicesResult | |
| UpdateDomainRequest | |
| UpdateDomainResult | |
| UpdateEndpointRequest | |
| UpdateEndpointResult | |
| UpdateEndpointWeightsAndCapacitiesRequest | |
| UpdateEndpointWeightsAndCapacitiesResult | |
| UpdateExperimentRequest | |
| UpdateExperimentResult | |
| UpdateImageRequest | |
| UpdateImageResult | |
| UpdateModelPackageRequest | |
| UpdateModelPackageResult | |
| UpdateMonitoringScheduleRequest | |
| UpdateMonitoringScheduleResult | |
| UpdateNotebookInstanceLifecycleConfigRequest | |
| UpdateNotebookInstanceLifecycleConfigResult | |
| UpdateNotebookInstanceRequest | |
| UpdateNotebookInstanceResult | |
| UpdatePipelineExecutionRequest | |
| UpdatePipelineExecutionResult | |
| UpdatePipelineRequest | |
| UpdatePipelineResult | |
| UpdateProjectRequest | |
| UpdateProjectResult | |
| UpdateTrainingJobRequest | |
| UpdateTrainingJobResult | |
| UpdateTrialComponentRequest | |
| UpdateTrialComponentResult | |
| UpdateTrialRequest | |
| UpdateTrialResult | |
| UpdateUserProfileRequest | |
| UpdateUserProfileResult | |
| UpdateWorkforceRequest | |
| UpdateWorkforceResult | |
| UpdateWorkteamRequest | |
| UpdateWorkteamResult | |
| USD |
Represents an amount of money in United States dollars.
|
| UserContext |
Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.
|
| UserProfileDetails |
The user profile details.
|
| UserSettings |
A collection of settings that apply to users of Amazon SageMaker Studio.
|
| VariantProperty |
Specifies a production variant property type for an Endpoint.
|
| Vertex |
A lineage entity connected to the starting entity(ies).
|
| VpcConfig |
Specifies a VPC that your training jobs and hosted models have access to.
|
| Workforce |
A single private workforce, which is automatically created when you create your first private work team.
|
| Workteam |
Provides details about a labeling work team.
|
| Exception | Description |
|---|---|
| AmazonSageMakerException |
Base exception for all service exceptions thrown by Amazon SageMaker Service
|
| ConflictException |
There was a conflict when you attempted to modify a SageMaker entity such as an
Experiment or
Artifact. |
| ResourceInUseException |
Resource being accessed is in use.
|
| ResourceLimitExceededException |
You have exceeded an Amazon SageMaker resource limit.
|
| ResourceNotFoundException |
Resource being access is not found.
|
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