| ActionSource |
A structure describing the source of an action.
|
| ActionSummary |
Lists the properties of an action.
|
| AddAssociationRequest |
|
| AddAssociationResponse |
|
| AdditionalInferenceSpecificationDefinition |
A structure of additional Inference Specification.
|
| AdditionalS3DataSource |
A data source used for training or inference that is in addition to the input dataset or model data.
|
| AddTagsRequest |
|
| AddTagsResponse |
|
| AgentVersion |
Edge Manager agent version.
|
| Alarm |
An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
|
| AlgorithmSpecification |
|
| 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.
|
| 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 |
|
| AssociateTrialComponentResponse |
|
| 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 collection of algorithms run on a dataset for training the model candidates of 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 |
|
| BatchDescribeModelPackageResponse |
|
| 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.
|
| 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.
|
| 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 |
|
| CreateActionResponse |
|
| CreateAlgorithmRequest |
|
| CreateAlgorithmResponse |
|
| CreateAppImageConfigRequest |
|
| CreateAppImageConfigResponse |
|
| CreateAppRequest |
|
| CreateAppResponse |
|
| CreateArtifactRequest |
|
| CreateArtifactResponse |
|
| CreateAutoMlJobRequest |
|
| CreateAutoMlJobResponse |
|
| CreateAutoMlJobV2Request |
|
| CreateAutoMlJobV2Response |
|
| CreateCodeRepositoryRequest |
|
| CreateCodeRepositoryResponse |
|
| CreateCompilationJobRequest |
|
| CreateCompilationJobResponse |
|
| CreateContextRequest |
|
| CreateContextResponse |
|
| CreateDataQualityJobDefinitionRequest |
|
| CreateDataQualityJobDefinitionResponse |
|
| CreateDeviceFleetRequest |
|
| CreateDeviceFleetResponse |
|
| CreateDomainRequest |
|
| CreateDomainResponse |
|
| CreateEdgeDeploymentPlanRequest |
|
| CreateEdgeDeploymentPlanResponse |
|
| CreateEdgeDeploymentStageRequest |
|
| CreateEdgeDeploymentStageResponse |
|
| CreateEdgePackagingJobRequest |
|
| CreateEdgePackagingJobResponse |
|
| CreateEndpointConfigRequest |
|
| CreateEndpointConfigResponse |
|
| CreateEndpointRequest |
|
| CreateEndpointResponse |
|
| CreateExperimentRequest |
|
| CreateExperimentResponse |
|
| CreateFeatureGroupRequest |
|
| CreateFeatureGroupResponse |
|
| CreateFlowDefinitionRequest |
|
| CreateFlowDefinitionResponse |
|
| CreateHubRequest |
|
| CreateHubResponse |
|
| CreateHumanTaskUiRequest |
|
| CreateHumanTaskUiResponse |
|
| CreateHyperParameterTuningJobRequest |
|
| CreateHyperParameterTuningJobResponse |
|
| CreateImageRequest |
|
| CreateImageResponse |
|
| CreateImageVersionRequest |
|
| CreateImageVersionResponse |
|
| CreateInferenceExperimentRequest |
|
| CreateInferenceExperimentResponse |
|
| CreateInferenceRecommendationsJobRequest |
|
| CreateInferenceRecommendationsJobResponse |
|
| CreateLabelingJobRequest |
|
| CreateLabelingJobResponse |
|
| CreateModelBiasJobDefinitionRequest |
|
| CreateModelBiasJobDefinitionResponse |
|
| CreateModelCardExportJobRequest |
|
| CreateModelCardExportJobResponse |
|
| CreateModelCardRequest |
|
| CreateModelCardResponse |
|
| CreateModelExplainabilityJobDefinitionRequest |
|
| CreateModelExplainabilityJobDefinitionResponse |
|
| CreateModelPackageGroupRequest |
|
| CreateModelPackageGroupResponse |
|
| CreateModelPackageRequest |
|
| CreateModelPackageResponse |
|
| CreateModelQualityJobDefinitionRequest |
|
| CreateModelQualityJobDefinitionResponse |
|
| CreateModelRequest |
|
| CreateModelResponse |
|
| CreateMonitoringScheduleRequest |
|
| CreateMonitoringScheduleResponse |
|
| CreateNotebookInstanceLifecycleConfigRequest |
|
| CreateNotebookInstanceLifecycleConfigResponse |
|
| CreateNotebookInstanceRequest |
|
| CreateNotebookInstanceResponse |
|
| CreatePipelineRequest |
|
| CreatePipelineResponse |
|
| CreatePresignedDomainUrlRequest |
|
| CreatePresignedDomainUrlResponse |
|
| CreatePresignedNotebookInstanceUrlRequest |
|
| CreatePresignedNotebookInstanceUrlResponse |
|
| CreateProcessingJobRequest |
|
| CreateProcessingJobResponse |
|
| CreateProjectRequest |
|
| CreateProjectResponse |
|
| CreateSpaceRequest |
|
| CreateSpaceResponse |
|
| CreateStudioLifecycleConfigRequest |
|
| CreateStudioLifecycleConfigResponse |
|
| CreateTrainingJobRequest |
|
| CreateTrainingJobResponse |
|
| CreateTransformJobRequest |
|
| CreateTransformJobResponse |
|
| CreateTrialComponentRequest |
|
| CreateTrialComponentResponse |
|
| CreateTrialRequest |
|
| CreateTrialResponse |
|
| CreateUserProfileRequest |
|
| CreateUserProfileResponse |
|
| CreateWorkforceRequest |
|
| CreateWorkforceResponse |
|
| CreateWorkteamRequest |
|
| CreateWorkteamResponse |
|
| CustomImage |
A custom SageMaker image.
|
| CustomizedMetricSpecification |
A customized metric.
|
| 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.
|
| DefaultSpaceSettings |
A collection of settings that apply to spaces created in the Domain.
|
| DeleteActionRequest |
|
| DeleteActionResponse |
|
| DeleteAlgorithmRequest |
|
| DeleteAlgorithmResponse |
|
| DeleteAppImageConfigRequest |
|
| DeleteAppImageConfigResponse |
|
| DeleteAppRequest |
|
| DeleteAppResponse |
|
| DeleteArtifactRequest |
|
| DeleteArtifactResponse |
|
| DeleteAssociationRequest |
|
| DeleteAssociationResponse |
|
| DeleteCodeRepositoryRequest |
|
| DeleteCodeRepositoryResponse |
|
| DeleteContextRequest |
|
| DeleteContextResponse |
|
| DeleteDataQualityJobDefinitionRequest |
|
| DeleteDataQualityJobDefinitionResponse |
|
| DeleteDeviceFleetRequest |
|
| DeleteDeviceFleetResponse |
|
| DeleteDomainRequest |
|
| DeleteDomainResponse |
|
| DeleteEdgeDeploymentPlanRequest |
|
| DeleteEdgeDeploymentPlanResponse |
|
| DeleteEdgeDeploymentStageRequest |
|
| DeleteEdgeDeploymentStageResponse |
|
| DeleteEndpointConfigRequest |
|
| DeleteEndpointConfigResponse |
|
| DeleteEndpointRequest |
|
| DeleteEndpointResponse |
|
| DeleteExperimentRequest |
|
| DeleteExperimentResponse |
|
| DeleteFeatureGroupRequest |
|
| DeleteFeatureGroupResponse |
|
| DeleteFlowDefinitionRequest |
|
| DeleteFlowDefinitionResponse |
|
| DeleteHubContentRequest |
|
| DeleteHubContentResponse |
|
| DeleteHubRequest |
|
| DeleteHubResponse |
|
| DeleteHumanTaskUiRequest |
|
| DeleteHumanTaskUiResponse |
|
| DeleteImageRequest |
|
| DeleteImageResponse |
|
| DeleteImageVersionRequest |
|
| DeleteImageVersionResponse |
|
| DeleteInferenceExperimentRequest |
|
| DeleteInferenceExperimentResponse |
|
| DeleteModelBiasJobDefinitionRequest |
|
| DeleteModelBiasJobDefinitionResponse |
|
| DeleteModelCardRequest |
|
| DeleteModelCardResponse |
|
| DeleteModelExplainabilityJobDefinitionRequest |
|
| DeleteModelExplainabilityJobDefinitionResponse |
|
| DeleteModelPackageGroupPolicyRequest |
|
| DeleteModelPackageGroupPolicyResponse |
|
| DeleteModelPackageGroupRequest |
|
| DeleteModelPackageGroupResponse |
|
| DeleteModelPackageRequest |
|
| DeleteModelPackageResponse |
|
| DeleteModelQualityJobDefinitionRequest |
|
| DeleteModelQualityJobDefinitionResponse |
|
| DeleteModelRequest |
|
| DeleteModelResponse |
|
| DeleteMonitoringScheduleRequest |
|
| DeleteMonitoringScheduleResponse |
|
| DeleteNotebookInstanceLifecycleConfigRequest |
|
| DeleteNotebookInstanceLifecycleConfigResponse |
|
| DeleteNotebookInstanceRequest |
|
| DeleteNotebookInstanceResponse |
|
| DeletePipelineRequest |
|
| DeletePipelineResponse |
|
| DeleteProjectRequest |
|
| DeleteProjectResponse |
|
| DeleteSpaceRequest |
|
| DeleteSpaceResponse |
|
| DeleteStudioLifecycleConfigRequest |
|
| DeleteStudioLifecycleConfigResponse |
|
| DeleteTagsRequest |
|
| DeleteTagsResponse |
|
| DeleteTrialComponentRequest |
|
| DeleteTrialComponentResponse |
|
| DeleteTrialRequest |
|
| DeleteTrialResponse |
|
| DeleteUserProfileRequest |
|
| DeleteUserProfileResponse |
|
| DeleteWorkforceRequest |
|
| DeleteWorkforceResponse |
|
| DeleteWorkteamRequest |
|
| DeleteWorkteamResponse |
|
| 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 |
|
| DeregisterDevicesResponse |
|
| DerivedInformation |
Information that SageMaker Neo automatically derived about the model.
|
| DescribeActionRequest |
|
| DescribeActionResponse |
|
| DescribeAlgorithmRequest |
|
| DescribeAlgorithmResponse |
|
| DescribeAppImageConfigRequest |
|
| DescribeAppImageConfigResponse |
|
| DescribeAppRequest |
|
| DescribeAppResponse |
|
| DescribeArtifactRequest |
|
| DescribeArtifactResponse |
|
| DescribeAutoMlJobRequest |
|
| DescribeAutoMlJobResponse |
|
| DescribeAutoMlJobV2Request |
|
| DescribeAutoMlJobV2Response |
|
| DescribeCodeRepositoryRequest |
|
| DescribeCodeRepositoryResponse |
|
| DescribeCompilationJobRequest |
|
| DescribeCompilationJobResponse |
|
| DescribeContextRequest |
|
| DescribeContextResponse |
|
| DescribeDataQualityJobDefinitionRequest |
|
| DescribeDataQualityJobDefinitionResponse |
|
| DescribeDeviceFleetRequest |
|
| DescribeDeviceFleetResponse |
|
| DescribeDeviceRequest |
|
| DescribeDeviceResponse |
|
| DescribeDomainRequest |
|
| DescribeDomainResponse |
|
| DescribeEdgeDeploymentPlanRequest |
|
| DescribeEdgeDeploymentPlanResponse |
|
| DescribeEdgePackagingJobRequest |
|
| DescribeEdgePackagingJobResponse |
|
| DescribeEndpointConfigRequest |
|
| DescribeEndpointConfigResponse |
|
| DescribeEndpointRequest |
|
| DescribeEndpointResponse |
|
| DescribeExperimentRequest |
|
| DescribeExperimentResponse |
|
| DescribeFeatureGroupRequest |
|
| DescribeFeatureGroupResponse |
|
| DescribeFeatureMetadataRequest |
|
| DescribeFeatureMetadataResponse |
|
| DescribeFlowDefinitionRequest |
|
| DescribeFlowDefinitionResponse |
|
| DescribeHubContentRequest |
|
| DescribeHubContentResponse |
|
| DescribeHubRequest |
|
| DescribeHubResponse |
|
| DescribeHumanTaskUiRequest |
|
| DescribeHumanTaskUiResponse |
|
| DescribeHyperParameterTuningJobRequest |
|
| DescribeHyperParameterTuningJobResponse |
|
| DescribeImageRequest |
|
| DescribeImageResponse |
|
| DescribeImageVersionRequest |
|
| DescribeImageVersionResponse |
|
| DescribeInferenceExperimentRequest |
|
| DescribeInferenceExperimentResponse |
|
| DescribeInferenceRecommendationsJobRequest |
|
| DescribeInferenceRecommendationsJobResponse |
|
| DescribeLabelingJobRequest |
|
| DescribeLabelingJobResponse |
|
| DescribeLineageGroupRequest |
|
| DescribeLineageGroupResponse |
|
| DescribeModelBiasJobDefinitionRequest |
|
| DescribeModelBiasJobDefinitionResponse |
|
| DescribeModelCardExportJobRequest |
|
| DescribeModelCardExportJobResponse |
|
| DescribeModelCardRequest |
|
| DescribeModelCardResponse |
|
| DescribeModelExplainabilityJobDefinitionRequest |
|
| DescribeModelExplainabilityJobDefinitionResponse |
|
| DescribeModelPackageGroupRequest |
|
| DescribeModelPackageGroupResponse |
|
| DescribeModelPackageRequest |
|
| DescribeModelPackageResponse |
|
| DescribeModelQualityJobDefinitionRequest |
|
| DescribeModelQualityJobDefinitionResponse |
|
| DescribeModelRequest |
|
| DescribeModelResponse |
|
| DescribeMonitoringScheduleRequest |
|
| DescribeMonitoringScheduleResponse |
|
| DescribeNotebookInstanceLifecycleConfigRequest |
|
| DescribeNotebookInstanceLifecycleConfigResponse |
|
| DescribeNotebookInstanceRequest |
|
| DescribeNotebookInstanceResponse |
|
| DescribePipelineDefinitionForExecutionRequest |
|
| DescribePipelineDefinitionForExecutionResponse |
|
| DescribePipelineExecutionRequest |
|
| DescribePipelineExecutionResponse |
|
| DescribePipelineRequest |
|
| DescribePipelineResponse |
|
| DescribeProcessingJobRequest |
|
| DescribeProcessingJobResponse |
|
| DescribeProjectRequest |
|
| DescribeProjectResponse |
|
| DescribeSpaceRequest |
|
| DescribeSpaceResponse |
|
| DescribeStudioLifecycleConfigRequest |
|
| DescribeStudioLifecycleConfigResponse |
|
| DescribeSubscribedWorkteamRequest |
|
| DescribeSubscribedWorkteamResponse |
|
| DescribeTrainingJobRequest |
|
| DescribeTrainingJobResponse |
|
| DescribeTransformJobRequest |
|
| DescribeTransformJobResponse |
|
| DescribeTrialComponentRequest |
|
| DescribeTrialComponentResponse |
|
| DescribeTrialRequest |
|
| DescribeTrialResponse |
|
| DescribeUserProfileRequest |
|
| DescribeUserProfileResponse |
|
| DescribeWorkforceRequest |
|
| DescribeWorkforceResponse |
|
| DescribeWorkteamRequest |
|
| DescribeWorkteamResponse |
|
| 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 |
|
| DisableSagemakerServicecatalogPortfolioResponse |
|
| DisassociateTrialComponentRequest |
|
| DisassociateTrialComponentResponse |
|
| 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.
|
| 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.
|
| EMRStepMetadata |
The configurations and outcomes of an Amazon EMR step execution.
|
| EnableSagemakerServicecatalogPortfolioRequest |
|
| EnableSagemakerServicecatalogPortfolioResponse |
|
| 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 (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 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.
|
| GetDeviceFleetReportRequest |
|
| GetDeviceFleetReportResponse |
|
| GetLineageGroupPolicyRequest |
|
| GetLineageGroupPolicyResponse |
|
| GetModelPackageGroupPolicyRequest |
|
| GetModelPackageGroupPolicyResponse |
|
| GetSagemakerServicecatalogPortfolioStatusRequest |
|
| GetSagemakerServicecatalogPortfolioStatusResponse |
|
| GetScalingConfigurationRecommendationRequest |
|
| GetScalingConfigurationRecommendationResponse |
|
| GetSearchSuggestionsRequest |
|
| GetSearchSuggestionsResponse |
|
| 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.
|
| 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 |
|
| ImportHubContentResponse |
|
| 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.
|
| 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 |
|
| 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.
|
| 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.
|
| 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 |
|
| ListActionsResponse |
|
| ListAlgorithmsRequest |
|
| ListAlgorithmsResponse |
|
| ListAliasesRequest |
|
| ListAliasesResponse |
|
| ListAppImageConfigsRequest |
|
| ListAppImageConfigsResponse |
|
| ListAppsRequest |
|
| ListAppsResponse |
|
| ListArtifactsRequest |
|
| ListArtifactsResponse |
|
| ListAssociationsRequest |
|
| ListAssociationsResponse |
|
| ListAutoMlJobsRequest |
|
| ListAutoMlJobsResponse |
|
| ListCandidatesForAutoMlJobRequest |
|
| ListCandidatesForAutoMlJobResponse |
|
| ListCodeRepositoriesRequest |
|
| ListCodeRepositoriesResponse |
|
| ListCompilationJobsRequest |
|
| ListCompilationJobsResponse |
|
| ListContextsRequest |
|
| ListContextsResponse |
|
| ListDataQualityJobDefinitionsRequest |
|
| ListDataQualityJobDefinitionsResponse |
|
| ListDeviceFleetsRequest |
|
| ListDeviceFleetsResponse |
|
| ListDevicesRequest |
|
| ListDevicesResponse |
|
| ListDomainsRequest |
|
| ListDomainsResponse |
|
| ListEdgeDeploymentPlansRequest |
|
| ListEdgeDeploymentPlansResponse |
|
| ListEdgePackagingJobsRequest |
|
| ListEdgePackagingJobsResponse |
|
| ListEndpointConfigsRequest |
|
| ListEndpointConfigsResponse |
|
| ListEndpointsRequest |
|
| ListEndpointsResponse |
|
| ListExperimentsRequest |
|
| ListExperimentsResponse |
|
| ListFeatureGroupsRequest |
|
| ListFeatureGroupsResponse |
|
| ListFlowDefinitionsRequest |
|
| ListFlowDefinitionsResponse |
|
| ListHubContentsRequest |
|
| ListHubContentsResponse |
|
| ListHubContentVersionsRequest |
|
| ListHubContentVersionsResponse |
|
| ListHubsRequest |
|
| ListHubsResponse |
|
| ListHumanTaskUisRequest |
|
| ListHumanTaskUisResponse |
|
| ListHyperParameterTuningJobsRequest |
|
| ListHyperParameterTuningJobsResponse |
|
| ListImagesRequest |
|
| ListImagesResponse |
|
| ListImageVersionsRequest |
|
| ListImageVersionsResponse |
|
| ListInferenceExperimentsRequest |
|
| ListInferenceExperimentsResponse |
|
| ListInferenceRecommendationsJobsRequest |
|
| ListInferenceRecommendationsJobsResponse |
|
| ListInferenceRecommendationsJobStepsRequest |
|
| ListInferenceRecommendationsJobStepsResponse |
|
| ListLabelingJobsForWorkteamRequest |
|
| ListLabelingJobsForWorkteamResponse |
|
| ListLabelingJobsRequest |
|
| ListLabelingJobsResponse |
|
| ListLineageGroupsRequest |
|
| ListLineageGroupsResponse |
|
| ListModelBiasJobDefinitionsRequest |
|
| ListModelBiasJobDefinitionsResponse |
|
| ListModelCardExportJobsRequest |
|
| ListModelCardExportJobsResponse |
|
| ListModelCardsRequest |
|
| ListModelCardsResponse |
|
| ListModelCardVersionsRequest |
|
| ListModelCardVersionsResponse |
|
| ListModelExplainabilityJobDefinitionsRequest |
|
| ListModelExplainabilityJobDefinitionsResponse |
|
| ListModelMetadataRequest |
|
| ListModelMetadataResponse |
|
| ListModelPackageGroupsRequest |
|
| ListModelPackageGroupsResponse |
|
| ListModelPackagesRequest |
|
| ListModelPackagesResponse |
|
| ListModelQualityJobDefinitionsRequest |
|
| ListModelQualityJobDefinitionsResponse |
|
| ListModelsRequest |
|
| ListModelsResponse |
|
| ListMonitoringAlertHistoryRequest |
|
| ListMonitoringAlertHistoryResponse |
|
| ListMonitoringAlertsRequest |
|
| ListMonitoringAlertsResponse |
|
| ListMonitoringExecutionsRequest |
|
| ListMonitoringExecutionsResponse |
|
| ListMonitoringSchedulesRequest |
|
| ListMonitoringSchedulesResponse |
|
| ListNotebookInstanceLifecycleConfigsRequest |
|
| ListNotebookInstanceLifecycleConfigsResponse |
|
| ListNotebookInstancesRequest |
|
| ListNotebookInstancesResponse |
|
| ListPipelineExecutionsRequest |
|
| ListPipelineExecutionsResponse |
|
| ListPipelineExecutionStepsRequest |
|
| ListPipelineExecutionStepsResponse |
|
| ListPipelineParametersForExecutionRequest |
|
| ListPipelineParametersForExecutionResponse |
|
| ListPipelinesRequest |
|
| ListPipelinesResponse |
|
| ListProcessingJobsRequest |
|
| ListProcessingJobsResponse |
|
| ListProjectsRequest |
|
| ListProjectsResponse |
|
| ListResourceCatalogsRequest |
|
| ListResourceCatalogsResponse |
|
| ListSpacesRequest |
|
| ListSpacesResponse |
|
| ListStageDevicesRequest |
|
| ListStageDevicesResponse |
|
| ListStudioLifecycleConfigsRequest |
|
| ListStudioLifecycleConfigsResponse |
|
| ListSubscribedWorkteamsRequest |
|
| ListSubscribedWorkteamsResponse |
|
| ListTagsRequest |
|
| ListTagsResponse |
|
| ListTrainingJobsForHyperParameterTuningJobRequest |
|
| ListTrainingJobsForHyperParameterTuningJobResponse |
|
| ListTrainingJobsRequest |
|
| ListTrainingJobsResponse |
|
| ListTransformJobsRequest |
|
| ListTransformJobsResponse |
|
| ListTrialComponentsRequest |
|
| ListTrialComponentsResponse |
|
| ListTrialsRequest |
|
| ListTrialsResponse |
|
| ListUserProfilesRequest |
|
| ListUserProfilesResponse |
|
| ListWorkforcesRequest |
|
| ListWorkforcesResponse |
|
| ListWorkteamsRequest |
|
| ListWorkteamsResponse |
|
| 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. |
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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 |
|
| PutModelPackageGroupPolicyResponse |
|
| 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 |
|
| QueryLineageResponse |
|
| 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 |
|
| RecommendationJobInferenceBenchmark |
The details for a specific benchmark from an Inference Recommender job.
|
| RecommendationJobInputConfig |
The input configuration of the recommendation job.
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| RecommendationJobOutputConfig |
Provides information about the output configuration for the compiled model.
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| RecommendationJobPayloadConfig |
The configuration for the payload for a recommendation job.
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| 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.
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| RegisterDevicesRequest |
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| RegisterDevicesResponse |
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| RegisterModelStepMetadata |
Metadata for a register model job step.
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| RenderableTask |
Contains input values for a task.
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| RenderingError |
A description of an error that occurred while rendering the template.
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| RenderUiTemplateRequest |
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| RenderUiTemplateResponse |
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| 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.
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| ResourceConfig |
Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model
training.
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| ResourceConfigForUpdate |
The ResourceConfig to update KeepAlivePeriodInSeconds.
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| 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.
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| RetryPipelineExecutionRequest |
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| RetryPipelineExecutionResponse |
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| 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.
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| 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.
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| RStudioServerProDomainSettingsForUpdate |
A collection of settings that update the current configuration for the RStudioServerPro Domain-level
app.
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| S3DataSource |
Describes the S3 data source.
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| S3ModelDataSource |
Specifies the S3 location of ML model data to deploy.
|
| S3StorageConfig |
The Amazon Simple Storage (Amazon S3) location and and security configuration for OfflineStore.
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| SageMakerException.BuilderImpl |
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| SageMakerRequest |
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| SageMakerRequest.BuilderImpl |
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| SageMakerResponse |
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| SageMakerResponse.BuilderImpl |
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| SageMakerResponseMetadata |
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| 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.
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| ScheduleConfig |
Configuration details about the monitoring schedule.
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| SearchExpression |
A multi-expression that searches for the specified resource or resources in a search.
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| SearchRecord |
A single resource returned as part of the Search API response. |
| SearchRequest |
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| SearchResponse |
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| SecondaryStatusTransition |
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| SelectedStep |
A step selected to run in selective execution mode.
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| SelectiveExecutionConfig |
The selective execution configuration applied to the pipeline run.
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| SelectiveExecutionResult |
The ARN from an execution of the current pipeline.
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| SendPipelineExecutionStepFailureRequest |
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| SendPipelineExecutionStepFailureResponse |
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| SendPipelineExecutionStepSuccessRequest |
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| SendPipelineExecutionStepSuccessResponse |
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| ServiceCatalogProvisionedProductDetails |
Details of a provisioned service catalog product.
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| ServiceCatalogProvisioningDetails |
Details that you specify to provision a service catalog product.
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| ServiceCatalogProvisioningUpdateDetails |
Details that you specify to provision a service catalog product.
|
| 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.
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| ShadowModelVariantConfig |
The name and sampling percentage of a shadow variant.
|
| 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.
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| SourceIpConfig |
A list of IP address ranges ( CIDRs). |
| SpaceDetails |
The space's details.
|
| SpaceSettings |
A collection of space settings.
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| Stairs |
Defines the stairs traffic pattern for an Inference Recommender load test.
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| StartEdgeDeploymentStageRequest |
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| StartEdgeDeploymentStageResponse |
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| StartInferenceExperimentRequest |
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| StartInferenceExperimentResponse |
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| StartMonitoringScheduleRequest |
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| StartMonitoringScheduleResponse |
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| StartNotebookInstanceRequest |
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| StartNotebookInstanceResponse |
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| StartPipelineExecutionRequest |
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| StartPipelineExecutionResponse |
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| StopAutoMlJobRequest |
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| StopAutoMlJobResponse |
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| StopCompilationJobRequest |
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| StopCompilationJobResponse |
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| StopEdgeDeploymentStageRequest |
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| StopEdgeDeploymentStageResponse |
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| StopEdgePackagingJobRequest |
|
| StopEdgePackagingJobResponse |
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| StopHyperParameterTuningJobRequest |
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| StopHyperParameterTuningJobResponse |
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| StopInferenceExperimentRequest |
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| StopInferenceExperimentResponse |
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| StopInferenceRecommendationsJobRequest |
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| StopInferenceRecommendationsJobResponse |
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| StopLabelingJobRequest |
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| StopLabelingJobResponse |
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| StopMonitoringScheduleRequest |
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| StopMonitoringScheduleResponse |
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| StopNotebookInstanceRequest |
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| StopNotebookInstanceResponse |
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| StoppingCondition |
Specifies a limit to how long a model training job or model compilation job can run.
|
| StopPipelineExecutionRequest |
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| StopPipelineExecutionResponse |
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| StopProcessingJobRequest |
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| StopProcessingJobResponse |
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| StopTrainingJobRequest |
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| StopTrainingJobResponse |
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| StopTransformJobRequest |
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| StopTransformJobResponse |
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| StudioLifecycleConfigDetails |
Details of the Studio Lifecycle Configuration.
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| SubscribedWorkteam |
Describes a work team of a vendor that does the a labelling job.
|
| SuggestionQuery |
|
| 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.
|
| 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.
|
| 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 |
|
| UpdateActionResponse |
|
| UpdateAppImageConfigRequest |
|
| UpdateAppImageConfigResponse |
|
| UpdateArtifactRequest |
|
| UpdateArtifactResponse |
|
| UpdateCodeRepositoryRequest |
|
| UpdateCodeRepositoryResponse |
|
| UpdateContextRequest |
|
| UpdateContextResponse |
|
| UpdateDeviceFleetRequest |
|
| UpdateDeviceFleetResponse |
|
| UpdateDevicesRequest |
|
| UpdateDevicesResponse |
|
| UpdateDomainRequest |
|
| UpdateDomainResponse |
|
| UpdateEndpointRequest |
|
| UpdateEndpointResponse |
|
| UpdateEndpointWeightsAndCapacitiesRequest |
|
| UpdateEndpointWeightsAndCapacitiesResponse |
|
| UpdateExperimentRequest |
|
| UpdateExperimentResponse |
|
| UpdateFeatureGroupRequest |
|
| UpdateFeatureGroupResponse |
|
| UpdateFeatureMetadataRequest |
|
| UpdateFeatureMetadataResponse |
|
| UpdateHubRequest |
|
| UpdateHubResponse |
|
| UpdateImageRequest |
|
| UpdateImageResponse |
|
| UpdateImageVersionRequest |
|
| UpdateImageVersionResponse |
|
| UpdateInferenceExperimentRequest |
|
| UpdateInferenceExperimentResponse |
|
| UpdateModelCardRequest |
|
| UpdateModelCardResponse |
|
| UpdateModelPackageRequest |
|
| UpdateModelPackageResponse |
|
| UpdateMonitoringAlertRequest |
|
| UpdateMonitoringAlertResponse |
|
| UpdateMonitoringScheduleRequest |
|
| UpdateMonitoringScheduleResponse |
|
| UpdateNotebookInstanceLifecycleConfigRequest |
|
| UpdateNotebookInstanceLifecycleConfigResponse |
|
| UpdateNotebookInstanceRequest |
|
| UpdateNotebookInstanceResponse |
|
| UpdatePipelineExecutionRequest |
|
| UpdatePipelineExecutionResponse |
|
| UpdatePipelineRequest |
|
| UpdatePipelineResponse |
|
| UpdateProjectRequest |
|
| UpdateProjectResponse |
|
| UpdateSpaceRequest |
|
| UpdateSpaceResponse |
|
| UpdateTrainingJobRequest |
|
| UpdateTrainingJobResponse |
|
| UpdateTrialComponentRequest |
|
| UpdateTrialComponentResponse |
|
| UpdateTrialRequest |
|
| UpdateTrialResponse |
|
| UpdateUserProfileRequest |
|
| UpdateUserProfileResponse |
|
| UpdateWorkforceRequest |
|
| UpdateWorkforceResponse |
|
| UpdateWorkteamRequest |
|
| UpdateWorkteamResponse |
|
| 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 of Amazon SageMaker Studio.
|
| 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).
|
| VpcConfig |
Specifies a VPC that your training jobs and hosted models have access to.
|
| WarmPoolStatus |
Status and billing information about the warm pool.
|
| 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.
|