| 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.
|
| AdditionalModelDataSource |
Data sources that are available to your model in addition to the one that you specify for
ModelDataSource when you use the CreateModel action. |
| AdditionalS3DataSource |
A data source used for training or inference that is in addition to the input dataset or model data.
|
| 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 SageMaker runs to validate your algorithm.
|
| AlgorithmValidationSpecification |
Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.
|
| AmazonQSettings |
A collection of settings that configure the Amazon Q experience within the domain.
|
| 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 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.
|
| AutoMLAlgorithmConfig |
The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
|
| AutoMLCandidate |
Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
|
| AutoMLCandidateGenerationConfig |
Stores the configuration information for how a candidate is generated (optional).
|
| 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.
|
| AutoMLDataSplitConfig |
This structure specifies how to split the data into train and validation datasets.
|
| AutoMLJobArtifacts |
The artifacts that are generated during an AutoML job.
|
| AutoMLJobChannel |
A channel is a named input source that training algorithms can consume.
|
| 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 an AutoML job.
|
| AutoMLJobStepMetadata |
Metadata for an AutoML job step.
|
| AutoMLJobSummary |
Provides a summary about an AutoML job.
|
| AutoMLOutputDataConfig |
The output data configuration.
|
| AutoMLPartialFailureReason |
The reason for a partial failure of an AutoML job.
|
| AutoMLProblemTypeConfig |
A collection of settings specific to the problem type used to configure an AutoML job V2.
|
| AutoMLProblemTypeResolvedAttributes |
Stores resolved attributes specific to the problem type of an AutoML job V2.
|
| AutoMLResolvedAttributes |
The resolved attributes used to configure an AutoML job V2.
|
| AutoMLS3DataSource |
Describes the Amazon S3 data source.
|
| AutoMLSecurityConfig |
Security options.
|
| AutoParameter |
The name and an example value of the hyperparameter that you want to use in Autotune.
|
| AutoRollbackConfig |
Automatic rollback configuration for handling endpoint deployment failures and recovery.
|
| Autotune |
A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
|
| BatchDataCaptureConfig |
Configuration to control how SageMaker captures inference data for batch transform jobs.
|
| BatchDescribeModelPackageError |
The error code and error description associated with the resource.
|
| BatchDescribeModelPackageRequest | |
| BatchDescribeModelPackageResult | |
| BatchDescribeModelPackageSummary |
Provides summary information about the model package.
|
| BatchTransformInput |
Input object for the batch transform job.
|
| BestObjectiveNotImproving |
A structure that keeps track of which training jobs launched by your hyperparameter tuning job are not improving
model performance as evaluated against an objective function.
|
| 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.
|
| CandidateGenerationConfig |
Stores the configuration information for how model candidates are generated using an AutoML job V2.
|
| CandidateProperties |
The properties of an AutoML candidate job.
|
| CanvasAppSettings |
The SageMaker Canvas application settings.
|
| CapacitySize |
Specifies the type and size of the endpoint capacity to activate for a blue/green deployment, a rolling deployment,
or a rollback strategy.
|
| CaptureContentTypeHeader |
Configuration specifying how to treat different headers.
|
| CaptureOption |
Specifies data Model Monitor will capture.
|
| 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.
|
| ClarifyExplainerConfig |
The configuration parameters for the SageMaker Clarify explainer.
|
| ClarifyInferenceConfig |
The inference configuration parameter for the model container.
|
| ClarifyShapBaselineConfig |
The configuration for the SHAP
baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.
|
| ClarifyShapConfig |
The configuration for SHAP analysis using SageMaker Clarify Explainer.
|
| ClarifyTextConfig |
A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are
provided for individual units of text.
|
| ClusterEbsVolumeConfig |
Defines the configuration for attaching an additional Amazon Elastic Block Store (EBS) volume to each instance of the
SageMaker HyperPod cluster instance group.
|
| ClusterInstanceGroupDetails |
Details of an instance group in a SageMaker HyperPod cluster.
|
| ClusterInstanceGroupSpecification |
The specifications of an instance group that you need to define.
|
| ClusterInstancePlacement |
Specifies the placement details for the node in the SageMaker HyperPod cluster, including the Availability Zone and
the unique identifier (ID) of the Availability Zone.
|
| ClusterInstanceStatusDetails |
Details of an instance in a SageMaker HyperPod cluster.
|
| ClusterInstanceStorageConfig |
Defines the configuration for attaching additional storage to the instances in the SageMaker HyperPod cluster
instance group.
|
| ClusterLifeCycleConfig |
The lifecycle configuration for a SageMaker HyperPod cluster.
|
| ClusterNodeDetails |
Details of an instance (also called a node interchangeably) in a SageMaker HyperPod cluster.
|
| ClusterNodeSummary |
Lists a summary of the properties of an instance (also called a node interchangeably) of a SageMaker HyperPod
cluster.
|
| ClusterSummary |
Lists a summary of the properties of a SageMaker HyperPod cluster.
|
| CodeEditorAppImageConfig |
The configuration for the file system and kernels in a SageMaker image running as a Code Editor app.
|
| CodeEditorAppSettings |
The Code Editor application settings.
|
| CodeRepository |
A Git repository that SageMaker automatically displays to users for cloning in the JupyterServer application.
|
| 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.
|
| CollectionConfig |
Configuration for your collection.
|
| CollectionConfiguration |
Configuration information for the Amazon SageMaker Debugger output tensor collections.
|
| CompilationJobSummary |
A summary of a model compilation job.
|
| ConditionStepMetadata |
Metadata for a Condition step.
|
| ContainerConfig |
The configuration used to run the application image container.
|
| 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.
|
| ConvergenceDetected |
A flag to indicating that automatic model tuning (AMT) has detected model convergence, defined as a lack of
significant improvement (1% or less) against an objective metric.
|
| CreateActionRequest | |
| CreateActionResult | |
| CreateAlgorithmRequest | |
| CreateAlgorithmResult | |
| CreateAppImageConfigRequest | |
| CreateAppImageConfigResult | |
| CreateAppRequest | |
| CreateAppResult | |
| CreateArtifactRequest | |
| CreateArtifactResult | |
| CreateAutoMLJobRequest | |
| CreateAutoMLJobResult | |
| CreateAutoMLJobV2Request | |
| CreateAutoMLJobV2Result | |
| CreateClusterRequest | |
| CreateClusterResult | |
| CreateCodeRepositoryRequest | |
| CreateCodeRepositoryResult | |
| CreateCompilationJobRequest | |
| CreateCompilationJobResult | |
| CreateContextRequest | |
| CreateContextResult | |
| CreateDataQualityJobDefinitionRequest | |
| CreateDataQualityJobDefinitionResult | |
| CreateDeviceFleetRequest | |
| CreateDeviceFleetResult | |
| CreateDomainRequest | |
| CreateDomainResult | |
| CreateEdgeDeploymentPlanRequest | |
| CreateEdgeDeploymentPlanResult | |
| CreateEdgeDeploymentStageRequest | |
| CreateEdgeDeploymentStageResult | |
| CreateEdgePackagingJobRequest | |
| CreateEdgePackagingJobResult | |
| CreateEndpointConfigRequest | |
| CreateEndpointConfigResult | |
| CreateEndpointRequest | |
| CreateEndpointResult | |
| CreateExperimentRequest | |
| CreateExperimentResult | |
| CreateFeatureGroupRequest | |
| CreateFeatureGroupResult | |
| CreateFlowDefinitionRequest | |
| CreateFlowDefinitionResult | |
| CreateHubContentReferenceRequest | |
| CreateHubContentReferenceResult | |
| CreateHubRequest | |
| CreateHubResult | |
| CreateHumanTaskUiRequest | |
| CreateHumanTaskUiResult | |
| CreateHyperParameterTuningJobRequest | |
| CreateHyperParameterTuningJobResult | |
| CreateImageRequest | |
| CreateImageResult | |
| CreateImageVersionRequest | |
| CreateImageVersionResult | |
| CreateInferenceComponentRequest | |
| CreateInferenceComponentResult | |
| CreateInferenceExperimentRequest | |
| CreateInferenceExperimentResult | |
| CreateInferenceRecommendationsJobRequest | |
| CreateInferenceRecommendationsJobResult | |
| CreateLabelingJobRequest | |
| CreateLabelingJobResult | |
| CreateMlflowTrackingServerRequest | |
| CreateMlflowTrackingServerResult | |
| CreateModelBiasJobDefinitionRequest | |
| CreateModelBiasJobDefinitionResult | |
| CreateModelCardExportJobRequest | |
| CreateModelCardExportJobResult | |
| CreateModelCardRequest | |
| CreateModelCardResult | |
| CreateModelExplainabilityJobDefinitionRequest | |
| CreateModelExplainabilityJobDefinitionResult | |
| CreateModelPackageGroupRequest | |
| CreateModelPackageGroupResult | |
| CreateModelPackageRequest | |
| CreateModelPackageResult | |
| CreateModelQualityJobDefinitionRequest | |
| CreateModelQualityJobDefinitionResult | |
| CreateModelRequest | |
| CreateModelResult | |
| CreateMonitoringScheduleRequest | |
| CreateMonitoringScheduleResult | |
| CreateNotebookInstanceLifecycleConfigRequest | |
| CreateNotebookInstanceLifecycleConfigResult | |
| CreateNotebookInstanceRequest | |
| CreateNotebookInstanceResult | |
| CreateOptimizationJobRequest | |
| CreateOptimizationJobResult | |
| CreatePipelineRequest | |
| CreatePipelineResult | |
| CreatePresignedDomainUrlRequest | |
| CreatePresignedDomainUrlResult | |
| CreatePresignedMlflowTrackingServerUrlRequest | |
| CreatePresignedMlflowTrackingServerUrlResult | |
| CreatePresignedNotebookInstanceUrlRequest | |
| CreatePresignedNotebookInstanceUrlResult | |
| CreateProcessingJobRequest | |
| CreateProcessingJobResult | |
| CreateProjectRequest | |
| CreateProjectResult | |
| CreateSpaceRequest | |
| CreateSpaceResult | |
| CreateStudioLifecycleConfigRequest | |
| CreateStudioLifecycleConfigResult | |
| CreateTrainingJobRequest | |
| CreateTrainingJobResult | |
| CreateTransformJobRequest | |
| CreateTransformJobResult | |
| CreateTrialComponentRequest | |
| CreateTrialComponentResult | |
| CreateTrialRequest | |
| CreateTrialResult | |
| CreateUserProfileRequest | |
| CreateUserProfileResult | |
| CreateWorkforceRequest | |
| CreateWorkforceResult | |
| CreateWorkteamRequest | |
| CreateWorkteamResult | |
| CustomFileSystem |
A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker Domain.
|
| CustomFileSystemConfig |
The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker Domain.
|
| CustomImage |
A custom SageMaker image.
|
| CustomizedMetricSpecification |
A customized metric.
|
| CustomPosixUserConfig |
Details about the POSIX identity that is used for file system operations.
|
| DataCaptureConfig |
Configuration to control how SageMaker captures inference data.
|
| DataCaptureConfigSummary |
The currently active data capture configuration used by your Endpoint.
|
| 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 Amazon SageMaker 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.
|
| DefaultEbsStorageSettings |
A collection of default EBS storage settings that apply to spaces created within a domain or user profile.
|
| DefaultSpaceSettings |
A collection of settings that apply to spaces created in the domain.
|
| DefaultSpaceStorageSettings |
The default storage settings for a space.
|
| DeleteActionRequest | |
| DeleteActionResult | |
| DeleteAlgorithmRequest | |
| DeleteAlgorithmResult | |
| DeleteAppImageConfigRequest | |
| DeleteAppImageConfigResult | |
| DeleteAppRequest | |
| DeleteAppResult | |
| DeleteArtifactRequest | |
| DeleteArtifactResult | |
| DeleteAssociationRequest | |
| DeleteAssociationResult | |
| DeleteClusterRequest | |
| DeleteClusterResult | |
| DeleteCodeRepositoryRequest | |
| DeleteCodeRepositoryResult | |
| DeleteCompilationJobRequest | |
| DeleteCompilationJobResult | |
| DeleteContextRequest | |
| DeleteContextResult | |
| DeleteDataQualityJobDefinitionRequest | |
| DeleteDataQualityJobDefinitionResult | |
| DeleteDeviceFleetRequest | |
| DeleteDeviceFleetResult | |
| DeleteDomainRequest | |
| DeleteDomainResult | |
| DeleteEdgeDeploymentPlanRequest | |
| DeleteEdgeDeploymentPlanResult | |
| DeleteEdgeDeploymentStageRequest | |
| DeleteEdgeDeploymentStageResult | |
| DeleteEndpointConfigRequest | |
| DeleteEndpointConfigResult | |
| DeleteEndpointRequest | |
| DeleteEndpointResult | |
| DeleteExperimentRequest | |
| DeleteExperimentResult | |
| DeleteFeatureGroupRequest | |
| DeleteFeatureGroupResult | |
| DeleteFlowDefinitionRequest | |
| DeleteFlowDefinitionResult | |
| DeleteHubContentReferenceRequest | |
| DeleteHubContentReferenceResult | |
| DeleteHubContentRequest | |
| DeleteHubContentResult | |
| DeleteHubRequest | |
| DeleteHubResult | |
| DeleteHumanTaskUiRequest | |
| DeleteHumanTaskUiResult | |
| DeleteHyperParameterTuningJobRequest | |
| DeleteHyperParameterTuningJobResult | |
| DeleteImageRequest | |
| DeleteImageResult | |
| DeleteImageVersionRequest | |
| DeleteImageVersionResult | |
| DeleteInferenceComponentRequest | |
| DeleteInferenceComponentResult | |
| DeleteInferenceExperimentRequest | |
| DeleteInferenceExperimentResult | |
| DeleteMlflowTrackingServerRequest | |
| DeleteMlflowTrackingServerResult | |
| DeleteModelBiasJobDefinitionRequest | |
| DeleteModelBiasJobDefinitionResult | |
| DeleteModelCardRequest | |
| DeleteModelCardResult | |
| DeleteModelExplainabilityJobDefinitionRequest | |
| DeleteModelExplainabilityJobDefinitionResult | |
| DeleteModelPackageGroupPolicyRequest | |
| DeleteModelPackageGroupPolicyResult | |
| DeleteModelPackageGroupRequest | |
| DeleteModelPackageGroupResult | |
| DeleteModelPackageRequest | |
| DeleteModelPackageResult | |
| DeleteModelQualityJobDefinitionRequest | |
| DeleteModelQualityJobDefinitionResult | |
| DeleteModelRequest | |
| DeleteModelResult | |
| DeleteMonitoringScheduleRequest | |
| DeleteMonitoringScheduleResult | |
| DeleteNotebookInstanceLifecycleConfigRequest | |
| DeleteNotebookInstanceLifecycleConfigResult | |
| DeleteNotebookInstanceRequest | |
| DeleteNotebookInstanceResult | |
| DeleteOptimizationJobRequest | |
| DeleteOptimizationJobResult | |
| DeletePipelineRequest | |
| DeletePipelineResult | |
| DeleteProjectRequest | |
| DeleteProjectResult | |
| DeleteSpaceRequest | |
| DeleteSpaceResult | |
| 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.
|
| DeploymentRecommendation |
A set of recommended deployment configurations for the model.
|
| DeploymentStage |
Contains information about a stage in an edge deployment plan.
|
| DeploymentStageStatusSummary |
Contains information summarizing the deployment stage results.
|
| DeregisterDevicesRequest | |
| DeregisterDevicesResult | |
| DerivedInformation |
Information that SageMaker Neo automatically derived about the model.
|
| DescribeActionRequest | |
| DescribeActionResult | |
| DescribeAlgorithmRequest | |
| DescribeAlgorithmResult | |
| DescribeAppImageConfigRequest | |
| DescribeAppImageConfigResult | |
| DescribeAppRequest | |
| DescribeAppResult | |
| DescribeArtifactRequest | |
| DescribeArtifactResult | |
| DescribeAutoMLJobRequest | |
| DescribeAutoMLJobResult | |
| DescribeAutoMLJobV2Request | |
| DescribeAutoMLJobV2Result | |
| DescribeClusterNodeRequest | |
| DescribeClusterNodeResult | |
| DescribeClusterRequest | |
| DescribeClusterResult | |
| DescribeCodeRepositoryRequest | |
| DescribeCodeRepositoryResult | |
| DescribeCompilationJobRequest | |
| DescribeCompilationJobResult | |
| DescribeContextRequest | |
| DescribeContextResult | |
| DescribeDataQualityJobDefinitionRequest | |
| DescribeDataQualityJobDefinitionResult | |
| DescribeDeviceFleetRequest | |
| DescribeDeviceFleetResult | |
| DescribeDeviceRequest | |
| DescribeDeviceResult | |
| DescribeDomainRequest | |
| DescribeDomainResult | |
| DescribeEdgeDeploymentPlanRequest | |
| DescribeEdgeDeploymentPlanResult | |
| DescribeEdgePackagingJobRequest | |
| DescribeEdgePackagingJobResult | |
| DescribeEndpointConfigRequest | |
| DescribeEndpointConfigResult | |
| DescribeEndpointRequest | |
| DescribeEndpointResult | |
| DescribeExperimentRequest | |
| DescribeExperimentResult | |
| DescribeFeatureGroupRequest | |
| DescribeFeatureGroupResult | |
| DescribeFeatureMetadataRequest | |
| DescribeFeatureMetadataResult | |
| DescribeFlowDefinitionRequest | |
| DescribeFlowDefinitionResult | |
| DescribeHubContentRequest | |
| DescribeHubContentResult | |
| DescribeHubRequest | |
| DescribeHubResult | |
| DescribeHumanTaskUiRequest | |
| DescribeHumanTaskUiResult | |
| DescribeHyperParameterTuningJobRequest | |
| DescribeHyperParameterTuningJobResult | |
| DescribeImageRequest | |
| DescribeImageResult | |
| DescribeImageVersionRequest | |
| DescribeImageVersionResult | |
| DescribeInferenceComponentRequest | |
| DescribeInferenceComponentResult | |
| DescribeInferenceExperimentRequest | |
| DescribeInferenceExperimentResult | |
| DescribeInferenceRecommendationsJobRequest | |
| DescribeInferenceRecommendationsJobResult | |
| DescribeLabelingJobRequest | |
| DescribeLabelingJobResult | |
| DescribeLineageGroupRequest | |
| DescribeLineageGroupResult | |
| DescribeMlflowTrackingServerRequest | |
| DescribeMlflowTrackingServerResult | |
| DescribeModelBiasJobDefinitionRequest | |
| DescribeModelBiasJobDefinitionResult | |
| DescribeModelCardExportJobRequest | |
| DescribeModelCardExportJobResult | |
| DescribeModelCardRequest | |
| DescribeModelCardResult | |
| DescribeModelExplainabilityJobDefinitionRequest | |
| DescribeModelExplainabilityJobDefinitionResult | |
| DescribeModelPackageGroupRequest | |
| DescribeModelPackageGroupResult | |
| DescribeModelPackageRequest | |
| DescribeModelPackageResult | |
| DescribeModelQualityJobDefinitionRequest | |
| DescribeModelQualityJobDefinitionResult | |
| DescribeModelRequest | |
| DescribeModelResult | |
| DescribeMonitoringScheduleRequest | |
| DescribeMonitoringScheduleResult | |
| DescribeNotebookInstanceLifecycleConfigRequest | |
| DescribeNotebookInstanceLifecycleConfigResult | |
| DescribeNotebookInstanceRequest | |
| DescribeNotebookInstanceResult | |
| DescribeOptimizationJobRequest | |
| DescribeOptimizationJobResult | |
| DescribePipelineDefinitionForExecutionRequest | |
| DescribePipelineDefinitionForExecutionResult | |
| DescribePipelineExecutionRequest | |
| DescribePipelineExecutionResult | |
| DescribePipelineRequest | |
| DescribePipelineResult | |
| DescribeProcessingJobRequest | |
| DescribeProcessingJobResult | |
| DescribeProjectRequest | |
| DescribeProjectResult | |
| DescribeSpaceRequest | |
| DescribeSpaceResult | |
| 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.
|
| DeviceDeploymentSummary |
Contains information summarizing device details and deployment status.
|
| DeviceFleetSummary |
Summary of the device fleet.
|
| DeviceSelectionConfig |
Contains information about the configurations of selected devices.
|
| DeviceStats |
Status of devices.
|
| DeviceSummary |
Summary of the device.
|
| DirectDeploySettings |
The model deployment settings for the SageMaker Canvas application.
|
| DisableSagemakerServicecatalogPortfolioRequest | |
| DisableSagemakerServicecatalogPortfolioResult | |
| DisassociateTrialComponentRequest | |
| DisassociateTrialComponentResult | |
| DockerSettings |
A collection of settings that configure the domain's Docker interaction.
|
| 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.
|
| DynamicScalingConfiguration |
An object with the recommended values for you to specify when creating an autoscaling policy.
|
| EbsStorageSettings |
A collection of EBS storage settings that apply to both private and shared spaces.
|
| Edge |
A directed edge connecting two lineage entities.
|
| EdgeDeploymentConfig |
Contains information about the configuration of a deployment.
|
| EdgeDeploymentModelConfig |
Contains information about the configuration of a model in a deployment.
|
| EdgeDeploymentPlanSummary |
Contains information summarizing an edge deployment plan.
|
| EdgeDeploymentStatus |
Contains information summarizing the deployment stage results.
|
| 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.
|
| EFSFileSystem |
A file system, created by you in Amazon EFS, that you assign to a user profile or space for an Amazon SageMaker
Domain.
|
| EFSFileSystemConfig |
The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker Domain.
|
| 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.
|
| EndpointInfo |
Details about a customer endpoint that was compared in an Inference Recommender job.
|
| EndpointInput |
Input object for the endpoint
|
| EndpointInputConfiguration |
The endpoint configuration for the load test.
|
| EndpointMetadata |
The metadata of the endpoint.
|
| EndpointOutputConfiguration |
The endpoint configuration made by Inference Recommender during a recommendation job.
|
| EndpointPerformance |
The performance results from running an Inference Recommender job on an existing endpoint.
|
| 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.
|
| ExplainerConfig |
A parameter to activate explainers.
|
| FailStepMetadata |
The container for the metadata for Fail step.
|
| 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. |
| FeatureMetadata |
The metadata for a feature.
|
| FeatureParameter |
A key-value pair that you specify to describe the feature.
|
| FileSource |
Contains details regarding the file source.
|
| FileSystemConfig |
The Amazon Elastic File System 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 latest objective metric emitted by 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.
|
| GenerativeAiSettings |
The generative AI settings for the SageMaker Canvas application.
|
| GetDeviceFleetReportRequest | |
| GetDeviceFleetReportResult | |
| GetLineageGroupPolicyRequest | |
| GetLineageGroupPolicyResult | |
| GetModelPackageGroupPolicyRequest | |
| GetModelPackageGroupPolicyResult | |
| GetSagemakerServicecatalogPortfolioStatusRequest | |
| GetSagemakerServicecatalogPortfolioStatusResult | |
| GetScalingConfigurationRecommendationRequest | |
| GetScalingConfigurationRecommendationResult | |
| 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.
|
| HolidayConfigAttributes |
Stores the holiday featurization attributes applicable to each item of time-series datasets during the training of a
forecasting model.
|
| HubContentDependency |
Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.
|
| HubContentInfo |
Information about hub content.
|
| HubInfo |
Information about a hub.
|
| HubS3StorageConfig |
The Amazon S3 storage configuration of a hub.
|
| 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.
|
| HyperbandStrategyConfig |
The configuration for
Hyperband, a multi-fidelity based hyperparameter tuning strategy. |
| 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 |
The container for the summary information about a training job.
|
| HyperParameterTuningInstanceConfig |
The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job.
|
| HyperParameterTuningJobCompletionDetails |
A structure that contains runtime information about both current and completed hyperparameter tuning jobs.
|
| HyperParameterTuningJobConfig |
Configures a hyperparameter tuning job.
|
| HyperParameterTuningJobConsumedResources |
The total resources consumed by your hyperparameter tuning job.
|
| HyperParameterTuningJobObjective |
Defines the objective metric for a hyperparameter tuning job.
|
| HyperParameterTuningJobSearchEntity |
An entity returned by the SearchRecord API
containing the properties of a hyperparameter tuning job.
|
| HyperParameterTuningJobStrategyConfig |
The configuration for a training job launched by 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.
|
| HyperParameterTuningResourceConfig |
The configuration of resources, including compute instances and storage volumes for use in training jobs launched by
hyperparameter tuning jobs.
|
| IamIdentity |
The IAM Identity details associated with the user.
|
| IamPolicyConstraints |
Use this parameter to specify a supported global condition key that is added to the IAM policy.
|
| IdentityProviderOAuthSetting |
The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source,
such as Snowflake.
|
| Image |
A SageMaker image.
|
| ImageClassificationJobConfig |
The collection of settings used by an AutoML job V2 for the image classification problem type.
|
| 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. |
| ImportHubContentRequest | |
| ImportHubContentResult | |
| InferenceComponentComputeResourceRequirements |
Defines the compute resources to allocate to run a model that you assign to an inference component.
|
| InferenceComponentContainerSpecification |
Defines a container that provides the runtime environment for a model that you deploy with an inference component.
|
| InferenceComponentContainerSpecificationSummary |
Details about the resources that are deployed with this inference component.
|
| InferenceComponentRuntimeConfig |
Runtime settings for a model that is deployed with an inference component.
|
| InferenceComponentRuntimeConfigSummary |
Details about the runtime settings for the model that is deployed with the inference component.
|
| InferenceComponentSpecification |
Details about the resources to deploy with this inference component, including the model, container, and compute
resources.
|
| InferenceComponentSpecificationSummary |
Details about the resources that are deployed with this inference component.
|
| InferenceComponentStartupParameters |
Settings that take effect while the model container starts up.
|
| InferenceComponentSummary |
A summary of the properties of an inference component.
|
| InferenceExecutionConfig |
Specifies details about how containers in a multi-container endpoint are run.
|
| InferenceExperimentDataStorageConfig |
The Amazon S3 location and configuration for storing inference request and response data.
|
| InferenceExperimentSchedule |
The start and end times of an inference experiment.
|
| InferenceExperimentSummary |
Lists a summary of properties of an inference experiment.
|
| InferenceHubAccessConfig |
Configuration information specifying which hub contents have accessible deployment options.
|
| InferenceMetrics |
The metrics for an existing endpoint compared in an Inference Recommender job.
|
| InferenceRecommendation |
A list of recommendations made by Amazon SageMaker Inference Recommender.
|
| InferenceRecommendationsJob |
A structure that contains a list of recommendation jobs.
|
| InferenceRecommendationsJobStep |
A returned array object for the
Steps response field in the ListInferenceRecommendationsJobSteps API command. |
| InferenceSpecification |
Defines how to perform inference generation after a training job is run.
|
| InfraCheckConfig |
Configuration information for the infrastructure health check of a training job.
|
| 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.
|
| InstanceGroup |
Defines an instance group for heterogeneous cluster training.
|
| InstanceMetadataServiceConfiguration |
Information on the IMDS configuration of the notebook instance
|
| 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.
|
| JupyterLabAppImageConfig |
The configuration for the file system and kernels in a SageMaker image running as a JupyterLab app.
|
| JupyterLabAppSettings |
The settings for the JupyterLab application.
|
| JupyterServerAppSettings |
The JupyterServer app settings.
|
| KendraSettings |
The Amazon SageMaker Canvas application setting where you configure document querying.
|
| 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.
|
| LastUpdateStatus |
A value that indicates whether the update was successful.
|
| LineageGroupSummary |
Lists a summary of the properties of a lineage group.
|
| ListActionsRequest | |
| ListActionsResult | |
| ListAlgorithmsRequest | |
| ListAlgorithmsResult | |
| ListAliasesRequest | |
| ListAliasesResult | |
| ListAppImageConfigsRequest | |
| ListAppImageConfigsResult | |
| ListAppsRequest | |
| ListAppsResult | |
| ListArtifactsRequest | |
| ListArtifactsResult | |
| ListAssociationsRequest | |
| ListAssociationsResult | |
| ListAutoMLJobsRequest | |
| ListAutoMLJobsResult | |
| ListCandidatesForAutoMLJobRequest | |
| ListCandidatesForAutoMLJobResult | |
| ListClusterNodesRequest | |
| ListClusterNodesResult | |
| ListClustersRequest | |
| ListClustersResult | |
| ListCodeRepositoriesRequest | |
| ListCodeRepositoriesResult | |
| ListCompilationJobsRequest | |
| ListCompilationJobsResult | |
| ListContextsRequest | |
| ListContextsResult | |
| ListDataQualityJobDefinitionsRequest | |
| ListDataQualityJobDefinitionsResult | |
| ListDeviceFleetsRequest | |
| ListDeviceFleetsResult | |
| ListDevicesRequest | |
| ListDevicesResult | |
| ListDomainsRequest | |
| ListDomainsResult | |
| ListEdgeDeploymentPlansRequest | |
| ListEdgeDeploymentPlansResult | |
| ListEdgePackagingJobsRequest | |
| ListEdgePackagingJobsResult | |
| ListEndpointConfigsRequest | |
| ListEndpointConfigsResult | |
| ListEndpointsRequest | |
| ListEndpointsResult | |
| ListExperimentsRequest | |
| ListExperimentsResult | |
| ListFeatureGroupsRequest | |
| ListFeatureGroupsResult | |
| ListFlowDefinitionsRequest | |
| ListFlowDefinitionsResult | |
| ListHubContentsRequest | |
| ListHubContentsResult | |
| ListHubContentVersionsRequest | |
| ListHubContentVersionsResult | |
| ListHubsRequest | |
| ListHubsResult | |
| ListHumanTaskUisRequest | |
| ListHumanTaskUisResult | |
| ListHyperParameterTuningJobsRequest | |
| ListHyperParameterTuningJobsResult | |
| ListImagesRequest | |
| ListImagesResult | |
| ListImageVersionsRequest | |
| ListImageVersionsResult | |
| ListInferenceComponentsRequest | |
| ListInferenceComponentsResult | |
| ListInferenceExperimentsRequest | |
| ListInferenceExperimentsResult | |
| ListInferenceRecommendationsJobsRequest | |
| ListInferenceRecommendationsJobsResult | |
| ListInferenceRecommendationsJobStepsRequest | |
| ListInferenceRecommendationsJobStepsResult | |
| ListLabelingJobsForWorkteamRequest | |
| ListLabelingJobsForWorkteamResult | |
| ListLabelingJobsRequest | |
| ListLabelingJobsResult | |
| ListLineageGroupsRequest | |
| ListLineageGroupsResult | |
| ListMlflowTrackingServersRequest | |
| ListMlflowTrackingServersResult | |
| ListModelBiasJobDefinitionsRequest | |
| ListModelBiasJobDefinitionsResult | |
| ListModelCardExportJobsRequest | |
| ListModelCardExportJobsResult | |
| ListModelCardsRequest | |
| ListModelCardsResult | |
| ListModelCardVersionsRequest | |
| ListModelCardVersionsResult | |
| ListModelExplainabilityJobDefinitionsRequest | |
| ListModelExplainabilityJobDefinitionsResult | |
| ListModelMetadataRequest | |
| ListModelMetadataResult | |
| ListModelPackageGroupsRequest | |
| ListModelPackageGroupsResult | |
| ListModelPackagesRequest | |
| ListModelPackagesResult | |
| ListModelQualityJobDefinitionsRequest | |
| ListModelQualityJobDefinitionsResult | |
| ListModelsRequest | |
| ListModelsResult | |
| ListMonitoringAlertHistoryRequest | |
| ListMonitoringAlertHistoryResult | |
| ListMonitoringAlertsRequest | |
| ListMonitoringAlertsResult | |
| ListMonitoringExecutionsRequest | |
| ListMonitoringExecutionsResult | |
| ListMonitoringSchedulesRequest | |
| ListMonitoringSchedulesResult | |
| ListNotebookInstanceLifecycleConfigsRequest | |
| ListNotebookInstanceLifecycleConfigsResult | |
| ListNotebookInstancesRequest | |
| ListNotebookInstancesResult | |
| ListOptimizationJobsRequest | |
| ListOptimizationJobsResult | |
| ListPipelineExecutionsRequest | |
| ListPipelineExecutionsResult | |
| ListPipelineExecutionStepsRequest | |
| ListPipelineExecutionStepsResult | |
| ListPipelineParametersForExecutionRequest | |
| ListPipelineParametersForExecutionResult | |
| ListPipelinesRequest | |
| ListPipelinesResult | |
| ListProcessingJobsRequest | |
| ListProcessingJobsResult | |
| ListProjectsRequest | |
| ListProjectsResult | |
| ListResourceCatalogsRequest | |
| ListResourceCatalogsResult | |
| ListSpacesRequest | |
| ListSpacesResult | |
| ListStageDevicesRequest | |
| ListStageDevicesResult | |
| 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. |
| MetricSpecification |
An object containing information about a metric.
|
| MetricsSource |
Details about the metrics source.
|
| Model |
The properties of a model as returned by the Search API.
|
| ModelAccessConfig |
The access configuration file to control access to the ML model.
|
| 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.
|
| ModelCard |
An Amazon SageMaker Model Card.
|
| ModelCardExportArtifacts |
The artifacts of the model card export job.
|
| ModelCardExportJobSummary |
The summary of the Amazon SageMaker Model Card export job.
|
| ModelCardExportOutputConfig |
Configure the export output details for an Amazon SageMaker Model Card.
|
| ModelCardSecurityConfig |
Configure the security settings to protect model card data.
|
| ModelCardSummary |
A summary of the model card.
|
| ModelCardVersionSummary |
A summary of a specific version of the model card.
|
| ModelClientConfig |
Configures the timeout and maximum number of retries for processing a transform job invocation.
|
| ModelCompilationConfig |
Settings for the model compilation technique that's applied by a model optimization job.
|
| ModelConfiguration |
Defines the model configuration.
|
| ModelDashboardEndpoint |
An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDashboardIndicatorAction |
An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into
InAlert status. |
| ModelDashboardModel |
A model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDashboardModelCard |
The model card for a model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDashboardMonitoringSchedule |
A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.
|
| ModelDataQuality |
Data quality constraints and statistics for a model.
|
| ModelDataSource |
Specifies the location of ML model data to deploy.
|
| 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.
|
| ModelInfrastructureConfig |
The configuration for the infrastructure that the model will be deployed to.
|
| 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.
|
| ModelPackageModelCard |
The model card associated with the model package.
|
| ModelPackageSecurityConfig |
An optional Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated
workloads with highly sensitive data.
|
| 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 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.
|
| ModelQuantizationConfig |
Settings for the model quantization technique that's applied by a model optimization job.
|
| ModelRegisterSettings |
The model registry settings for the SageMaker Canvas application.
|
| ModelStepMetadata |
Metadata for Model steps.
|
| ModelSummary |
Provides summary information about a model.
|
| ModelVariantConfig |
Contains information about the deployment options of a model.
|
| ModelVariantConfigSummary |
Summary of the deployment configuration of a model.
|
| MonitoringAlertActions |
A list of alert actions taken in response to an alert going into
InAlert status. |
| MonitoringAlertHistorySummary |
Provides summary information of an alert's history.
|
| MonitoringAlertSummary |
Provides summary information about a monitor alert.
|
| 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.
|
| MonitoringCsvDatasetFormat |
Represents the CSV dataset format used when running a monitoring job.
|
| MonitoringDatasetFormat |
Represents the dataset format used when running 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.
|
| MonitoringJsonDatasetFormat |
Represents the JSON dataset format used when running 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.
|
| MonitoringParquetDatasetFormat |
Represents the Parquet dataset format used when running a monitoring job.
|
| 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 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. |
| OnlineStoreConfigUpdate |
Updates the feature group online store configuration.
|
| OnlineStoreSecurityConfig |
The security configuration for
OnlineStore. |
| OptimizationConfig |
Settings for an optimization technique that you apply with a model optimization job.
|
| OptimizationJobModelSource |
The location of the source model to optimize with an optimization job.
|
| OptimizationJobModelSourceS3 |
The Amazon S3 location of a source model to optimize with an optimization job.
|
| OptimizationJobOutputConfig |
Details for where to store the optimized model that you create with the optimization job.
|
| OptimizationJobSummary |
Summarizes an optimization job by providing some of its key properties.
|
| OptimizationModelAccessConfig |
The access configuration settings for the source ML model for an optimization job, where you can accept the model
end-user license agreement (EULA).
|
| OptimizationOutput |
Output values produced by an optimization job.
|
| OptimizationVpcConfig |
A VPC in Amazon VPC that's accessible to an optimized that you create with an optimization job.
|
| 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.
|
| OwnershipSettings |
The collection of ownership settings for a space.
|
| OwnershipSettingsSummary |
Specifies summary information about the ownership settings.
|
| 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.
|
| PredefinedMetricSpecification |
A specification for a predefined metric.
|
| 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.
|
| ProductionVariantManagedInstanceScaling |
Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to
accommodate traffic.
|
| ProductionVariantRoutingConfig |
Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
|
| ProductionVariantServerlessConfig |
Specifies the serverless configuration for an endpoint variant.
|
| ProductionVariantServerlessUpdateConfig |
Specifies the serverless update concurrency configuration for an endpoint variant.
|
| 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 Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
|
| ProfilerConfigForUpdate |
Configuration information for updating the Amazon SageMaker 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 | |
| RealTimeInferenceConfig |
The infrastructure configuration for deploying the model to a real-time inference endpoint.
|
| RealTimeInferenceRecommendation |
The recommended configuration to use for Real-Time Inference.
|
| RecommendationJobCompiledOutputConfig |
Provides information about the output configuration for the compiled model.
|
| RecommendationJobContainerConfig |
Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API.
|
| RecommendationJobInferenceBenchmark |
The details for a specific benchmark from an Inference Recommender job.
|
| RecommendationJobInputConfig |
The input configuration of the recommendation job.
|
| RecommendationJobOutputConfig |
Provides information about the output configuration for the compiled model.
|
| RecommendationJobPayloadConfig |
The configuration for the payload for a 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.
|
| RecommendationJobVpcConfig |
Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
|
| RecommendationMetrics |
The metrics of recommendations.
|
| RedshiftDatasetDefinition |
Configuration for Redshift Dataset Definition input.
|
| RegisterDevicesRequest | |
| RegisterDevicesResult | |
| RegisterModelStepMetadata |
Metadata for a register model job step.
|
| RemoteDebugConfig |
Configuration for remote debugging for the CreateTrainingJob
API.
|
| RemoteDebugConfigForUpdate |
Configuration for remote debugging for the UpdateTrainingJob
API.
|
| 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.
|
| ResourceCatalog |
A resource catalog containing all of the resources of a specific resource type within a resource owner account.
|
| ResourceConfig |
Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model
training.
|
| ResourceConfigForUpdate |
The
ResourceConfig to update KeepAlivePeriodInSeconds. |
| 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 volume.
|
| RetryPipelineExecutionRequest | |
| RetryPipelineExecutionResult | |
| RetryStrategy |
The retry strategy to use when a training job fails due to an
InternalServerError. |
| RollingUpdatePolicy |
Specifies a rolling deployment strategy for updating a SageMaker endpoint.
|
| 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.
|
| S3ModelDataSource |
Specifies the S3 location of ML model data to deploy.
|
| S3Presign |
This object defines the access restrictions to Amazon S3 resources that are included in custom worker task templates
using the Liquid filter,
grant_read_access. |
| S3StorageConfig |
The Amazon Simple Storage (Amazon S3) location and security configuration for
OfflineStore. |
| ScalingPolicy |
An object containing a recommended scaling policy.
|
| ScalingPolicyMetric |
The metric for a scaling policy.
|
| ScalingPolicyObjective |
An object where you specify the anticipated traffic pattern for an endpoint.
|
| 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
SecondaryStatusTransitions for DescribeTrainingJob. |
| SelectedStep |
A step selected to run in selective execution mode.
|
| SelectiveExecutionConfig |
The selective execution configuration applied to the pipeline run.
|
| SelectiveExecutionResult |
The ARN from an execution of the current pipeline.
|
| 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.
|
| SessionChainingConfig |
Contains information about attribute-based access control (ABAC) for a training job.
|
| ShadowModeConfig |
The configuration of
ShadowMode inference experiment type, which specifies a production variant to take
all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference
requests. |
| ShadowModelVariantConfig |
The name and sampling percentage of a shadow variant.
|
| SharingSettings |
Specifies options for sharing Amazon 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).
|
| SpaceCodeEditorAppSettings |
The application settings for a Code Editor space.
|
| SpaceDetails |
The space's details.
|
| SpaceJupyterLabAppSettings |
The settings for the JupyterLab application within a space.
|
| SpaceSettings |
A collection of space settings.
|
| SpaceSettingsSummary |
Specifies summary information about the space settings.
|
| SpaceSharingSettings |
A collection of space sharing settings.
|
| SpaceSharingSettingsSummary |
Specifies summary information about the space sharing settings.
|
| SpaceStorageSettings |
The storage settings for a space.
|
| Stairs |
Defines the stairs traffic pattern for an Inference Recommender load test.
|
| StartEdgeDeploymentStageRequest | |
| StartEdgeDeploymentStageResult | |
| StartInferenceExperimentRequest | |
| StartInferenceExperimentResult | |
| StartMlflowTrackingServerRequest | |
| StartMlflowTrackingServerResult | |
| StartMonitoringScheduleRequest | |
| StartMonitoringScheduleResult | |
| StartNotebookInstanceRequest | |
| StartNotebookInstanceResult | |
| StartPipelineExecutionRequest | |
| StartPipelineExecutionResult | |
| StopAutoMLJobRequest | |
| StopAutoMLJobResult | |
| StopCompilationJobRequest | |
| StopCompilationJobResult | |
| StopEdgeDeploymentStageRequest | |
| StopEdgeDeploymentStageResult | |
| StopEdgePackagingJobRequest | |
| StopEdgePackagingJobResult | |
| StopHyperParameterTuningJobRequest | |
| StopHyperParameterTuningJobResult | |
| StopInferenceExperimentRequest | |
| StopInferenceExperimentResult | |
| StopInferenceRecommendationsJobRequest | |
| StopInferenceRecommendationsJobResult | |
| StopLabelingJobRequest | |
| StopLabelingJobResult | |
| StopMlflowTrackingServerRequest | |
| StopMlflowTrackingServerResult | |
| StopMonitoringScheduleRequest | |
| StopMonitoringScheduleResult | |
| StopNotebookInstanceRequest | |
| StopNotebookInstanceResult | |
| StopOptimizationJobRequest | |
| StopOptimizationJobResult | |
| StoppingCondition |
Specifies a limit to how long a job can run.
|
| StopPipelineExecutionRequest | |
| StopPipelineExecutionResult | |
| StopProcessingJobRequest | |
| StopProcessingJobResult | |
| StopTrainingJobRequest | |
| StopTrainingJobResult | |
| StopTransformJobRequest | |
| StopTransformJobResult | |
| StudioLifecycleConfigDetails |
Details of the Amazon SageMaker Studio Lifecycle Configuration.
|
| StudioWebPortalSettings |
Studio settings.
|
| SubscribedWorkteam |
Describes a work team of a vendor that does the labelling job.
|
| SuggestionQuery |
Specified in the GetSearchSuggestions
request.
|
| TabularJobConfig |
The collection of settings used by an AutoML job V2 for the tabular problem type.
|
| TabularResolvedAttributes |
The resolved attributes specific to the tabular problem type.
|
| 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.
|
| TargetTrackingScalingPolicyConfiguration |
A target tracking scaling policy.
|
| TensorBoardAppSettings |
The TensorBoard app settings.
|
| TensorBoardOutputConfig |
Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
|
| TextClassificationJobConfig |
The collection of settings used by an AutoML job V2 for the text classification problem type.
|
| TextGenerationJobConfig |
The collection of settings used by an AutoML job V2 for the text generation problem type.
|
| TextGenerationResolvedAttributes |
The resolved attributes specific to the text generation problem type.
|
| ThroughputConfig |
Used to set feature group throughput configuration.
|
| ThroughputConfigDescription |
Active throughput configuration of the feature group.
|
| ThroughputConfigUpdate |
The new throughput configuration for the feature group.
|
| TimeSeriesConfig |
The collection of components that defines the time-series.
|
| TimeSeriesForecastingJobConfig |
The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
|
| TimeSeriesForecastingSettings |
Time series forecast settings for the SageMaker Canvas application.
|
| TimeSeriesTransformations |
Transformations allowed on the dataset.
|
| TrackingServerSummary |
The summary of the tracking server to list.
|
| 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.
|
| TrainingImageConfig |
The configuration to use an image from a private Docker registry for a training job.
|
| 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.
|
| TrainingRepositoryAuthConfig |
An object containing authentication information for a private Docker registry.
|
| 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.
|
| TtlDuration |
Time to live duration, where the record is hard deleted after the expiration time is reached;
ExpiresAt
= EventTime + TtlDuration. |
| 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 | |
| UpdateClusterRequest | |
| UpdateClusterResult | |
| UpdateClusterSoftwareRequest | |
| UpdateClusterSoftwareResult | |
| UpdateCodeRepositoryRequest | |
| UpdateCodeRepositoryResult | |
| UpdateContextRequest | |
| UpdateContextResult | |
| UpdateDeviceFleetRequest | |
| UpdateDeviceFleetResult | |
| UpdateDevicesRequest | |
| UpdateDevicesResult | |
| UpdateDomainRequest | |
| UpdateDomainResult | |
| UpdateEndpointRequest | |
| UpdateEndpointResult | |
| UpdateEndpointWeightsAndCapacitiesRequest | |
| UpdateEndpointWeightsAndCapacitiesResult | |
| UpdateExperimentRequest | |
| UpdateExperimentResult | |
| UpdateFeatureGroupRequest | |
| UpdateFeatureGroupResult | |
| UpdateFeatureMetadataRequest | |
| UpdateFeatureMetadataResult | |
| UpdateHubRequest | |
| UpdateHubResult | |
| UpdateImageRequest | |
| UpdateImageResult | |
| UpdateImageVersionRequest | |
| UpdateImageVersionResult | |
| UpdateInferenceComponentRequest | |
| UpdateInferenceComponentResult | |
| UpdateInferenceComponentRuntimeConfigRequest | |
| UpdateInferenceComponentRuntimeConfigResult | |
| UpdateInferenceExperimentRequest | |
| UpdateInferenceExperimentResult | |
| UpdateMlflowTrackingServerRequest | |
| UpdateMlflowTrackingServerResult | |
| UpdateModelCardRequest | |
| UpdateModelCardResult | |
| UpdateModelPackageRequest | |
| UpdateModelPackageResult | |
| UpdateMonitoringAlertRequest | |
| UpdateMonitoringAlertResult | |
| UpdateMonitoringScheduleRequest | |
| UpdateMonitoringScheduleResult | |
| UpdateNotebookInstanceLifecycleConfigRequest | |
| UpdateNotebookInstanceLifecycleConfigResult | |
| UpdateNotebookInstanceRequest | |
| UpdateNotebookInstanceResult | |
| UpdatePipelineExecutionRequest | |
| UpdatePipelineExecutionResult | |
| UpdatePipelineRequest | |
| UpdatePipelineResult | |
| UpdateProjectRequest | |
| UpdateProjectResult | |
| UpdateSpaceRequest | |
| UpdateSpaceResult | |
| 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, project, or
model card.
|
| UserProfileDetails |
The user profile details.
|
| UserSettings |
A collection of settings that apply to users in a domain.
|
| VariantProperty |
Specifies a production variant property type for an Endpoint.
|
| VectorConfig |
Configuration for your vector collection type.
|
| Vertex |
A lineage entity connected to the starting entity(ies).
|
| VisibilityConditions |
The list of key-value pairs used to filter your search results.
|
| VpcConfig |
Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have
access to.
|
| WarmPoolStatus |
Status and billing information about the warm pool.
|
| WorkerAccessConfiguration |
Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM
global condition keys.
|
| Workforce |
A single private workforce, which is automatically created when you create your first private work team.
|
| WorkforceVpcConfigRequest |
The VPC object you use to create or update a workforce.
|
| WorkforceVpcConfigResponse |
A VpcConfig object that specifies the VPC that you want your workforce to connect to.
|
| WorkspaceSettings |
The workspace settings for the SageMaker Canvas application.
|
| 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 SageMaker resource limit.
|
| ResourceNotFoundException |
Resource being access is not found.
|