# Amazon SageMaker Amazon Sagemaker API Reference

## [Amazon SageMaker Service](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_Service.md)

Provides APIs for creating and managing SageMaker resources.

Other Resources:

- [SageMaker Developer Guide](https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html#first-time-user)
- [Amazon Augmented AI Runtime API Reference](https://docs.aws.amazon.com/augmented-ai/2019-11-07/APIReference/Welcome.html)

### Actions

- [AddAssociation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AddAssociation.md): Creates an association between the source and the destination.
- [AddTags](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AddTags.md): Adds or overwrites one or more tags for the specified SageMaker resource.
- [AssociateTrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AssociateTrialComponent.md): Associates a trial component with a trial.
- [AttachClusterNodeNetworkInterface](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AttachClusterNodeNetworkInterface.md): Attaches an elastic network interface (ENI) to a node in a HyperPod cluster.
- [AttachClusterNodeVolume](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AttachClusterNodeVolume.md): Attaches your Amazon Elastic Block Store (Amazon EBS) volume to a node in your EKS orchestrated HyperPod cluster.
- [BatchAddClusterNodes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchAddClusterNodes.md): Adds nodes to a HyperPod cluster by incrementing the target count for one or more instance groups.
- [BatchDeleteClusterNodes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDeleteClusterNodes.md): Deletes specific nodes within a SageMaker HyperPod cluster.
- [BatchDescribeModelPackage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDescribeModelPackage.md): This action batch describes a list of versioned model packages
- [BatchRebootClusterNodes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchRebootClusterNodes.md): Reboots specific nodes within a SageMaker HyperPod cluster using a soft recovery mechanism.
- [BatchReplaceClusterNodes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchReplaceClusterNodes.md): Replaces specific nodes within a SageMaker HyperPod cluster with new hardware.
- [CreateAction](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAction.md): Creates an action.
- [CreateAIBenchmarkJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAIBenchmarkJob.md): Creates a benchmark job that runs performance benchmarks against inference infrastructure using a predefined AI workload configuration.
- [CreateAIRecommendationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAIRecommendationJob.md): Creates a recommendation job that generates intelligent optimization recommendations for generative AI inference deployments.
- [CreateAIWorkloadConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAIWorkloadConfig.md): Creates a reusable AI workload configuration that defines datasets, data sources, and benchmark tool settings for consistent performance testing of generative AI inference deployments on Amazon SageMaker AI.
- [CreateAlgorithm](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAlgorithm.md): Create a machine learning algorithm that you can use in SageMaker and list in the AWS Marketplace.
- [CreateApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateApp.md): Creates a running app for the specified UserProfile.
- [CreateAppImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAppImageConfig.md): Creates a configuration for running a SageMaker AI image as a KernelGateway app.
- [CreateArtifact](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateArtifact.md): Creates an artifact.
- [CreateAutoMLJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJob.md): Creates an Autopilot job also referred to as Autopilot experiment or AutoML job.
- [CreateAutoMLJobV2](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.md): Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.
- [CreateCluster](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateCluster.md): Creates an Amazon SageMaker HyperPod cluster.
- [CreateClusterSchedulerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateClusterSchedulerConfig.md): Create cluster policy configuration.
- [CreateCodeRepository](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateCodeRepository.md): Creates a Git repository as a resource in your SageMaker AI account.
- [CreateCompilationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateCompilationJob.md): Starts a model compilation job.
- [CreateComputeQuota](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateComputeQuota.md): Create compute allocation definition.
- [CreateContext](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateContext.md): Creates a context.
- [CreateDataQualityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDataQualityJobDefinition.md): Creates a definition for a job that monitors data quality and drift.
- [CreateDeviceFleet](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDeviceFleet.md): Creates a device fleet.
- [CreateDomain](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateDomain.md): Creates a Domain.
- [CreateEdgeDeploymentPlan](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEdgeDeploymentPlan.md): Creates an edge deployment plan, consisting of multiple stages.
- [CreateEdgeDeploymentStage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEdgeDeploymentStage.md): Creates a new stage in an existing edge deployment plan.
- [CreateEdgePackagingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEdgePackagingJob.md): Starts a SageMaker Edge Manager model packaging job.
- [CreateEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpoint.md): Creates an endpoint using the endpoint configuration specified in the request.
- [CreateEndpointConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateEndpointConfig.md): Creates an endpoint configuration that SageMaker hosting services uses to deploy models.
- [CreateExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateExperiment.md): Creates a SageMaker experiment.
- [CreateFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateFeatureGroup.md): Create a new FeatureGroup.
- [CreateFlowDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateFlowDefinition.md): Creates a flow definition.
- [CreateHub](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateHub.md): Create a hub.
- [CreateHubContentPresignedUrls](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateHubContentPresignedUrls.md): Creates presigned URLs for accessing hub content artifacts.
- [CreateHubContentReference](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateHubContentReference.md): Create a hub content reference in order to add a model in the JumpStart public hub to a private hub.
- [CreateHumanTaskUi](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateHumanTaskUi.md): Defines the settings you will use for the human review workflow user interface.
- [CreateHyperParameterTuningJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateHyperParameterTuningJob.md): Starts a hyperparameter tuning job.
- [CreateImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateImage.md): Creates a custom SageMaker AI image.
- [CreateImageVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateImageVersion.md): Creates a version of the SageMaker AI image specified by ImageName.
- [CreateInferenceComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateInferenceComponent.md): Creates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint.
- [CreateInferenceExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateInferenceExperiment.md): Creates an inference experiment using the configurations specified in the request.
- [CreateInferenceRecommendationsJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateInferenceRecommendationsJob.md): Starts a recommendation job.
- [CreateJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateJob.md): Creates a model customization job in Amazon SageMaker.
- [CreateLabelingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateLabelingJob.md): Creates a job that uses workers to label the data objects in your input dataset.
- [CreateMlflowApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateMlflowApp.md): Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
- [CreateMlflowTrackingServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateMlflowTrackingServer.md): Creates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.
- [CreateModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModel.md): Creates a model in SageMaker.
- [CreateModelBiasJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelBiasJobDefinition.md): Creates the definition for a model bias job.
- [CreateModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelCard.md): Creates an Amazon SageMaker Model Card.
- [CreateModelCardExportJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelCardExportJob.md): Creates an Amazon SageMaker Model Card export job.
- [CreateModelExplainabilityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelExplainabilityJobDefinition.md): Creates the definition for a model explainability job.
- [CreateModelPackage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelPackage.md): Creates a model package that you can use to create SageMaker models or list on AWS Marketplace, or a versioned model that is part of a model group.
- [CreateModelPackageGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelPackageGroup.md): Creates a model group.
- [CreateModelQualityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateModelQualityJobDefinition.md): Creates a definition for a job that monitors model quality and drift.
- [CreateMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateMonitoringSchedule.md): Creates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.
- [CreateNotebookInstance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateNotebookInstance.md): Creates an SageMaker AI notebook instance.
- [CreateNotebookInstanceLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateNotebookInstanceLifecycleConfig.md): Creates a lifecycle configuration that you can associate with a notebook instance.
- [CreateOptimizationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateOptimizationJob.md): Creates a job that optimizes a model for inference performance.
- [CreatePartnerApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePartnerApp.md): Creates an Amazon SageMaker Partner AI App.
- [CreatePartnerAppPresignedUrl](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePartnerAppPresignedUrl.md): Creates a presigned URL to access an Amazon SageMaker Partner AI App.
- [CreatePipeline](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePipeline.md): Creates a pipeline using a JSON pipeline definition.
- [CreatePresignedDomainUrl](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePresignedDomainUrl.md): Creates a URL for a specified UserProfile in a Domain.
- [CreatePresignedMlflowAppUrl](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePresignedMlflowAppUrl.md): Returns a presigned URL that you can use to connect to the MLflow UI attached to your MLflow App.
- [CreatePresignedMlflowTrackingServerUrl](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePresignedMlflowTrackingServerUrl.md): Returns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server.
- [CreatePresignedNotebookInstanceUrl](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreatePresignedNotebookInstanceUrl.md): Returns a URL that you can use to connect to the Jupyter server from a notebook instance.
- [CreateProcessingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProcessingJob.md): Creates a processing job.
- [CreateProject](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateProject.md): Creates a machine learning (ML) project that can contain one or more templates that set up an ML pipeline from training to deploying an approved model.
- [CreateSpace](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateSpace.md): Creates a private space or a space used for real time collaboration in a domain.
- [CreateStudioLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateStudioLifecycleConfig.md): Creates a new Amazon SageMaker AI Studio Lifecycle Configuration.
- [CreateTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingJob.md): Starts a model training job.
- [CreateTrainingPlan](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingPlan.md): Creates a new training plan in SageMaker to reserve compute capacity.
- [CreateTrainingSession](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingSession.md): Creates a training session in Amazon SageMaker.
- [CreateTransformJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTransformJob.md): Starts a transform job.
- [CreateTrial](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrial.md): Creates an SageMaker trial.
- [CreateTrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrialComponent.md): Creates a trial component, which is a stage of a machine learning trial.
- [CreateUserProfile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateUserProfile.md): Creates a user profile.
- [CreateWorkforce](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateWorkforce.md): Use this operation to create a workforce.
- [CreateWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateWorkteam.md): Creates a new work team for labeling your data.
- [DeleteAction](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAction.md): Deletes an action.
- [DeleteAIBenchmarkJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAIBenchmarkJob.md): Deletes the specified AI benchmark job.
- [DeleteAIRecommendationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAIRecommendationJob.md): Deletes the specified AI recommendation job.
- [DeleteAIWorkloadConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAIWorkloadConfig.md): Deletes the specified AI workload configuration.
- [DeleteAlgorithm](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAlgorithm.md): Removes the specified algorithm from your account.
- [DeleteApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteApp.md): Used to stop and delete an app.
- [DeleteAppImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAppImageConfig.md): Deletes an AppImageConfig.
- [DeleteArtifact](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteArtifact.md): Deletes an artifact.
- [DeleteAssociation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteAssociation.md): Deletes an association.
- [DeleteCluster](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteCluster.md): Delete a SageMaker HyperPod cluster.
- [DeleteClusterSchedulerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteClusterSchedulerConfig.md): Deletes the cluster policy of the cluster.
- [DeleteCodeRepository](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteCodeRepository.md): Deletes the specified Git repository from your account.
- [DeleteCompilationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteCompilationJob.md): Deletes the specified compilation job.
- [DeleteComputeQuota](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteComputeQuota.md): Deletes the compute allocation from the cluster.
- [DeleteContext](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteContext.md): Deletes an context.
- [DeleteDataQualityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteDataQualityJobDefinition.md): Deletes a data quality monitoring job definition.
- [DeleteDeviceFleet](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteDeviceFleet.md): Deletes a fleet.
- [DeleteDomain](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteDomain.md): Used to delete a domain.
- [DeleteEdgeDeploymentPlan](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteEdgeDeploymentPlan.md): Deletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.
- [DeleteEdgeDeploymentStage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteEdgeDeploymentStage.md): Delete a stage in an edge deployment plan if (and only if) the stage is inactive.
- [DeleteEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteEndpoint.md): Deletes an endpoint.
- [DeleteEndpointConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteEndpointConfig.md): Deletes an endpoint configuration.
- [DeleteExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteExperiment.md): Deletes an SageMaker experiment.
- [DeleteFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteFeatureGroup.md): Delete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup.
- [DeleteFlowDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteFlowDefinition.md): Deletes the specified flow definition.
- [DeleteHub](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteHub.md): Delete a hub.
- [DeleteHubContent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteHubContent.md): Delete the contents of a hub.
- [DeleteHubContentReference](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteHubContentReference.md): Delete a hub content reference in order to remove a model from a private hub.
- [DeleteHumanTaskUi](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteHumanTaskUi.md): Use this operation to delete a human task user interface (worker task template).
- [DeleteHyperParameterTuningJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteHyperParameterTuningJob.md): Deletes a hyperparameter tuning job.
- [DeleteImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteImage.md): Deletes a SageMaker AI image and all versions of the image.
- [DeleteImageVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteImageVersion.md): Deletes a version of a SageMaker AI image.
- [DeleteInferenceComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteInferenceComponent.md): Deletes an inference component.
- [DeleteInferenceExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteInferenceExperiment.md): Deletes an inference experiment.
- [DeleteJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteJob.md): Deletes a job.
- [DeleteMlflowApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteMlflowApp.md): Deletes an MLflow App.
- [DeleteMlflowTrackingServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteMlflowTrackingServer.md): Deletes an MLflow Tracking Server.
- [DeleteModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModel.md): Deletes a model.
- [DeleteModelBiasJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelBiasJobDefinition.md): Deletes an Amazon SageMaker AI model bias job definition.
- [DeleteModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelCard.md): Deletes an Amazon SageMaker Model Card.
- [DeleteModelExplainabilityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelExplainabilityJobDefinition.md): Deletes an Amazon SageMaker AI model explainability job definition.
- [DeleteModelPackage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelPackage.md): Deletes a model package.
- [DeleteModelPackageGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelPackageGroup.md): Deletes the specified model group.
- [DeleteModelPackageGroupPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelPackageGroupPolicy.md): Deletes a model group resource policy.
- [DeleteModelQualityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteModelQualityJobDefinition.md): Deletes the secified model quality monitoring job definition.
- [DeleteMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteMonitoringSchedule.md): Deletes a monitoring schedule.
- [DeleteNotebookInstance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteNotebookInstance.md): Deletes an SageMaker AI notebook instance.
- [DeleteNotebookInstanceLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteNotebookInstanceLifecycleConfig.md): Deletes a notebook instance lifecycle configuration.
- [DeleteOptimizationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteOptimizationJob.md): Deletes an optimization job.
- [DeletePartnerApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeletePartnerApp.md): Deletes a SageMaker Partner AI App.
- [DeletePipeline](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeletePipeline.md): Deletes a pipeline if there are no running instances of the pipeline.
- [DeleteProcessingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteProcessingJob.md): Deletes a processing job.
- [DeleteProject](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteProject.md): Delete the specified project.
- [DeleteSpace](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteSpace.md): Used to delete a space.
- [DeleteStudioLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteStudioLifecycleConfig.md): Deletes the Amazon SageMaker AI Studio Lifecycle Configuration.
- [DeleteTags](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteTags.md): Deletes the specified tags from an SageMaker resource.
- [DeleteTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteTrainingJob.md): Deletes a training job.
- [DeleteTrainingSession](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteTrainingSession.md): Deletes a training session.
- [DeleteTrial](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteTrial.md): Deletes the specified trial.
- [DeleteTrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteTrialComponent.md): Deletes the specified trial component.
- [DeleteUserProfile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteUserProfile.md): Deletes a user profile.
- [DeleteWorkforce](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteWorkforce.md): Use this operation to delete a workforce.
- [DeleteWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteWorkteam.md): Deletes an existing work team.
- [DeregisterDevices](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeregisterDevices.md): Deregisters the specified devices.
- [DescribeAction](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAction.md): Describes an action.
- [DescribeAIBenchmarkJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAIBenchmarkJob.md): Returns details of an AI benchmark job, including its status, configuration, target endpoint, and timing information.
- [DescribeAIRecommendationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAIRecommendationJob.md): Returns details of an AI recommendation job, including its status, model source, performance targets, optimization recommendations, and deployment configurations.
- [DescribeAIWorkloadConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAIWorkloadConfig.md): Returns details of an AI workload configuration, including the dataset configuration, benchmark tool settings, tags, and creation time.
- [DescribeAlgorithm](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAlgorithm.md): Returns a description of the specified algorithm that is in your account.
- [DescribeApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeApp.md): Describes the app.
- [DescribeAppImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAppImageConfig.md): Describes an AppImageConfig.
- [DescribeArtifact](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeArtifact.md): Describes an artifact.
- [DescribeAutoMLJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJob.md): Returns information about an AutoML job created by calling CreateAutoMLJob.
- [DescribeAutoMLJobV2](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeAutoMLJobV2.md): Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.
- [DescribeCluster](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeCluster.md): Retrieves information of a SageMaker HyperPod cluster.
- [DescribeClusterEvent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeClusterEvent.md): Retrieves detailed information about a specific event for a given HyperPod cluster.
- [DescribeClusterNode](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeClusterNode.md): Retrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.
- [DescribeClusterSchedulerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeClusterSchedulerConfig.md): Description of the cluster policy.
- [DescribeCodeRepository](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeCodeRepository.md): Gets details about the specified Git repository.
- [DescribeCompilationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeCompilationJob.md): Returns information about a model compilation job.
- [DescribeComputeQuota](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeComputeQuota.md): Description of the compute allocation definition.
- [DescribeContext](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeContext.md): Describes a context.
- [DescribeDataQualityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeDataQualityJobDefinition.md): Gets the details of a data quality monitoring job definition.
- [DescribeDevice](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeDevice.md): Describes the device.
- [DescribeDeviceFleet](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeDeviceFleet.md): A description of the fleet the device belongs to.
- [DescribeDomain](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeDomain.md): The description of the domain.
- [DescribeEdgeDeploymentPlan](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEdgeDeploymentPlan.md): Describes an edge deployment plan with deployment status per stage.
- [DescribeEdgePackagingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEdgePackagingJob.md): A description of edge packaging jobs.
- [DescribeEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpoint.md): Returns the description of an endpoint.
- [DescribeEndpointConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeEndpointConfig.md): Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
- [DescribeExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeExperiment.md): Provides a list of an experiment's properties.
- [DescribeFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeFeatureGroup.md): Use this operation to describe a FeatureGroup.
- [DescribeFeatureMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeFeatureMetadata.md): Shows the metadata for a feature within a feature group.
- [DescribeFlowDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeFlowDefinition.md): Returns information about the specified flow definition.
- [DescribeHub](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeHub.md): Describes a hub.
- [DescribeHubContent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeHubContent.md): Describe the content of a hub.
- [DescribeHumanTaskUi](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeHumanTaskUi.md): Returns information about the requested human task user interface (worker task template).
- [DescribeHyperParameterTuningJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeHyperParameterTuningJob.md): Returns a description of a hyperparameter tuning job, depending on the fields selected.
- [DescribeImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeImage.md): Describes a SageMaker AI image.
- [DescribeImageVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeImageVersion.md): Describes a version of a SageMaker AI image.
- [DescribeInferenceComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeInferenceComponent.md): Returns information about an inference component.
- [DescribeInferenceExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeInferenceExperiment.md): Returns details about an inference experiment.
- [DescribeInferenceRecommendationsJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeInferenceRecommendationsJob.md): Provides the results of the Inference Recommender job.
- [DescribeJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeJob.md): Returns detailed information about a job, including its current status, secondary status, configuration, and timestamps.
- [DescribeJobSchemaVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeJobSchemaVersion.md): Returns the JSON schema for a specified job category and schema version.
- [DescribeLabelingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeLabelingJob.md): Gets information about a labeling job.
- [DescribeLineageGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeLineageGroup.md): Provides a list of properties for the requested lineage group.
- [DescribeMlflowApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeMlflowApp.md): Returns information about an MLflow App.
- [DescribeMlflowTrackingServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeMlflowTrackingServer.md): Returns information about an MLflow Tracking Server.
- [DescribeModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModel.md): Describes a model that you created using the CreateModel API.
- [DescribeModelBiasJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelBiasJobDefinition.md): Returns a description of a model bias job definition.
- [DescribeModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelCard.md): Describes the content, creation time, and security configuration of an Amazon SageMaker Model Card.
- [DescribeModelCardExportJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelCardExportJob.md): Describes an Amazon SageMaker Model Card export job.
- [DescribeModelExplainabilityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelExplainabilityJobDefinition.md): Returns a description of a model explainability job definition.
- [DescribeModelPackage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelPackage.md): Returns a description of the specified model package, which is used to create SageMaker models or list them on AWS Marketplace.
- [DescribeModelPackageGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelPackageGroup.md): Gets a description for the specified model group.
- [DescribeModelQualityJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeModelQualityJobDefinition.md): Returns a description of a model quality job definition.
- [DescribeMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeMonitoringSchedule.md): Describes the schedule for a monitoring job.
- [DescribeNotebookInstance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeNotebookInstance.md): Returns information about a notebook instance.
- [DescribeNotebookInstanceLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeNotebookInstanceLifecycleConfig.md): Returns a description of a notebook instance lifecycle configuration.
- [DescribeOptimizationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeOptimizationJob.md): Provides the properties of the specified optimization job.
- [DescribePartnerApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribePartnerApp.md): Gets information about a SageMaker Partner AI App.
- [DescribePipeline](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribePipeline.md): Describes the details of a pipeline.
- [DescribePipelineDefinitionForExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribePipelineDefinitionForExecution.md): Describes the details of an execution's pipeline definition.
- [DescribePipelineExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribePipelineExecution.md): Describes the details of a pipeline execution.
- [DescribeProcessingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeProcessingJob.md): Returns a description of a processing job.
- [DescribeProject](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeProject.md): Describes the details of a project.
- [DescribeReservedCapacity](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeReservedCapacity.md): Retrieves details about a reserved capacity.
- [DescribeSpace](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeSpace.md): Describes the space.
- [DescribeStudioLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeStudioLifecycleConfig.md): Describes the Amazon SageMaker AI Studio Lifecycle Configuration.
- [DescribeSubscribedWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeSubscribedWorkteam.md): Gets information about a work team provided by a vendor.
- [DescribeTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingJob.md): Returns information about a training job.
- [DescribeTrainingPlan](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingPlan.md): Retrieves detailed information about a specific training plan.
- [DescribeTrainingPlanExtensionHistory](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingPlanExtensionHistory.md): Retrieves the extension history for a specified training plan.
- [DescribeTrainingSession](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrainingSession.md): Retrieves detailed information about a training session, including its current status, model configuration, Low-Rank Adaptation (LoRA) parameters, and timestamps.
- [DescribeTransformJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTransformJob.md): Returns information about a transform job.
- [DescribeTrial](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrial.md): Provides a list of a trial's properties.
- [DescribeTrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeTrialComponent.md): Provides a list of a trials component's properties.
- [DescribeUserProfile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeUserProfile.md): Describes a user profile.
- [DescribeWorkforce](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeWorkforce.md): Lists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs).
- [DescribeWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeWorkteam.md): Gets information about a specific work team.
- [DetachClusterNodeVolume](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DetachClusterNodeVolume.md): Detaches your Amazon Elastic Block Store (Amazon EBS) volume from a node in your EKS orchestrated SageMaker HyperPod cluster.
- [DisableSagemakerServicecatalogPortfolio](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DisableSagemakerServicecatalogPortfolio.md): Disables using Service Catalog in SageMaker.
- [DisassociateTrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DisassociateTrialComponent.md): Disassociates a trial component from a trial.
- [EnableSagemakerServicecatalogPortfolio](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EnableSagemakerServicecatalogPortfolio.md): Enables using Service Catalog in SageMaker.
- [ExtendTrainingPlan](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ExtendTrainingPlan.md): Extends an existing training plan by purchasing an extension offering.
- [GetDeviceFleetReport](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GetDeviceFleetReport.md): Describes a fleet.
- [GetLineageGroupPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GetLineageGroupPolicy.md): The resource policy for the lineage group.
- [GetModelPackageGroupPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GetModelPackageGroupPolicy.md): Gets a resource policy that manages access for a model group.
- [GetSagemakerServicecatalogPortfolioStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GetSagemakerServicecatalogPortfolioStatus.md): Gets the status of Service Catalog in SageMaker.
- [GetScalingConfigurationRecommendation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GetScalingConfigurationRecommendation.md): Starts an Amazon SageMaker Inference Recommender autoscaling recommendation job.
- [GetSearchSuggestions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GetSearchSuggestions.md): An auto-complete API for the search functionality in the SageMaker console.
- [ImportHubContent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ImportHubContent.md): Import hub content.
- [ListActions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListActions.md): Lists the actions in your account and their properties.
- [ListAIBenchmarkJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAIBenchmarkJobs.md): Returns a list of AI benchmark jobs in your account.
- [ListAIRecommendationJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAIRecommendationJobs.md): Returns a list of AI recommendation jobs in your account.
- [ListAIWorkloadConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAIWorkloadConfigs.md): Returns a list of AI workload configurations in your account.
- [ListAlgorithms](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAlgorithms.md): Lists the machine learning algorithms that have been created.
- [ListAliases](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAliases.md): Lists the aliases of a specified image or image version.
- [ListAppImageConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAppImageConfigs.md): Lists the AppImageConfigs in your account and their properties.
- [ListApps](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListApps.md): Lists apps.
- [ListArtifacts](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListArtifacts.md): Lists the artifacts in your account and their properties.
- [ListAssociations](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAssociations.md): Lists the associations in your account and their properties.
- [ListAutoMLJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListAutoMLJobs.md): Request a list of jobs.
- [ListCandidatesForAutoMLJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListCandidatesForAutoMLJob.md): List the candidates created for the job.
- [ListClusterEvents](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListClusterEvents.md): Retrieves a list of event summaries for a specified HyperPod cluster.
- [ListClusterNodes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListClusterNodes.md): Retrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.
- [ListClusters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListClusters.md): Retrieves the list of SageMaker HyperPod clusters.
- [ListClusterSchedulerConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListClusterSchedulerConfigs.md): List the cluster policy configurations.
- [ListCodeRepositories](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListCodeRepositories.md): Gets a list of the Git repositories in your account.
- [ListCompilationJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListCompilationJobs.md): Lists model compilation jobs that satisfy various filters.
- [ListComputeQuotas](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListComputeQuotas.md): List the resource allocation definitions.
- [ListContexts](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListContexts.md): Lists the contexts in your account and their properties.
- [ListDataQualityJobDefinitions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListDataQualityJobDefinitions.md): Lists the data quality job definitions in your account.
- [ListDeviceFleets](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListDeviceFleets.md): Returns a list of devices in the fleet.
- [ListDevices](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListDevices.md): A list of devices.
- [ListDomains](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListDomains.md): Lists the domains.
- [ListEdgeDeploymentPlans](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListEdgeDeploymentPlans.md): Lists all edge deployment plans.
- [ListEdgePackagingJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListEdgePackagingJobs.md): Returns a list of edge packaging jobs.
- [ListEndpointConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListEndpointConfigs.md): Lists endpoint configurations.
- [ListEndpoints](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListEndpoints.md): Lists endpoints.
- [ListExperiments](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListExperiments.md): Lists all the experiments in your account.
- [ListFeatureGroups](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListFeatureGroups.md): List FeatureGroups based on given filter and order.
- [ListFlowDefinitions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListFlowDefinitions.md): Returns information about the flow definitions in your account.
- [ListHubContents](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListHubContents.md): List the contents of a hub.
- [ListHubContentVersions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListHubContentVersions.md): List hub content versions.
- [ListHubs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListHubs.md): List all existing hubs.
- [ListHumanTaskUis](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListHumanTaskUis.md): Returns information about the human task user interfaces in your account.
- [ListHyperParameterTuningJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListHyperParameterTuningJobs.md): Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
- [ListImages](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListImages.md): Lists the images in your account and their properties.
- [ListImageVersions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListImageVersions.md): Lists the versions of a specified image and their properties.
- [ListInferenceComponents](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListInferenceComponents.md): Lists the inference components in your account and their properties.
- [ListInferenceExperiments](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListInferenceExperiments.md): Returns the list of all inference experiments.
- [ListInferenceRecommendationsJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListInferenceRecommendationsJobs.md): Lists recommendation jobs that satisfy various filters.
- [ListInferenceRecommendationsJobSteps](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListInferenceRecommendationsJobSteps.md): Returns a list of the subtasks for an Inference Recommender job.
- [ListJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListJobs.md): Lists jobs in a specified category.
- [ListJobSchemaVersions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListJobSchemaVersions.md): Lists available configuration schema versions for a specified job category.
- [ListLabelingJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListLabelingJobs.md): Gets a list of labeling jobs.
- [ListLabelingJobsForWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListLabelingJobsForWorkteam.md): Gets a list of labeling jobs assigned to a specified work team.
- [ListLineageGroups](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListLineageGroups.md): A list of lineage groups shared with your AWS account.
- [ListMlflowApps](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListMlflowApps.md): Lists all MLflow Apps
- [ListMlflowTrackingServers](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListMlflowTrackingServers.md): Lists all MLflow Tracking Servers.
- [ListModelBiasJobDefinitions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelBiasJobDefinitions.md): Lists model bias jobs definitions that satisfy various filters.
- [ListModelCardExportJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelCardExportJobs.md): List the export jobs for the Amazon SageMaker Model Card.
- [ListModelCards](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelCards.md): List existing model cards.
- [ListModelCardVersions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelCardVersions.md): List existing versions of an Amazon SageMaker Model Card.
- [ListModelExplainabilityJobDefinitions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelExplainabilityJobDefinitions.md): Lists model explainability job definitions that satisfy various filters.
- [ListModelMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelMetadata.md): Lists the domain, framework, task, and model name of standard machine learning models found in common model zoos.
- [ListModelPackageGroups](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelPackageGroups.md): Gets a list of the model groups in your AWS account.
- [ListModelPackages](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelPackages.md): Lists the model packages that have been created.
- [ListModelQualityJobDefinitions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModelQualityJobDefinitions.md): Gets a list of model quality monitoring job definitions in your account.
- [ListModels](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListModels.md): Lists models created with the CreateModel API.
- [ListMonitoringAlertHistory](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListMonitoringAlertHistory.md): Gets a list of past alerts in a model monitoring schedule.
- [ListMonitoringAlerts](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListMonitoringAlerts.md): Gets the alerts for a single monitoring schedule.
- [ListMonitoringExecutions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListMonitoringExecutions.md): Returns list of all monitoring job executions.
- [ListMonitoringSchedules](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListMonitoringSchedules.md): Returns list of all monitoring schedules.
- [ListNotebookInstanceLifecycleConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListNotebookInstanceLifecycleConfigs.md): Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
- [ListNotebookInstances](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListNotebookInstances.md): Returns a list of the SageMaker AI notebook instances in the requester's account in an AWS Region.
- [ListOptimizationJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListOptimizationJobs.md): Lists the optimization jobs in your account and their properties.
- [ListPartnerApps](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListPartnerApps.md): Lists all of the SageMaker Partner AI Apps in an account.
- [ListPipelineExecutions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListPipelineExecutions.md): Gets a list of the pipeline executions.
- [ListPipelineExecutionSteps](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListPipelineExecutionSteps.md): Gets a list of PipeLineExecutionStep objects.
- [ListPipelineParametersForExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListPipelineParametersForExecution.md): Gets a list of parameters for a pipeline execution.
- [ListPipelines](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListPipelines.md): Gets a list of pipelines.
- [ListPipelineVersions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListPipelineVersions.md): Gets a list of all versions of the pipeline.
- [ListProcessingJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListProcessingJobs.md): Lists processing jobs that satisfy various filters.
- [ListProjects](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListProjects.md): Gets a list of the projects in an AWS account.
- [ListResourceCatalogs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListResourceCatalogs.md): Lists Amazon SageMaker Catalogs based on given filters and orders.
- [ListSpaces](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListSpaces.md): Lists spaces.
- [ListStageDevices](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListStageDevices.md): Lists devices allocated to the stage, containing detailed device information and deployment status.
- [ListStudioLifecycleConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListStudioLifecycleConfigs.md): Lists the Amazon SageMaker AI Studio Lifecycle Configurations in your AWS Account.
- [ListSubscribedWorkteams](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListSubscribedWorkteams.md): Gets a list of the work teams that you are subscribed to in the AWS Marketplace.
- [ListTags](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTags.md): Returns the tags for the specified SageMaker resource.
- [ListTrainingJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrainingJobs.md): Lists training jobs.
- [ListTrainingJobsForHyperParameterTuningJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrainingJobsForHyperParameterTuningJob.md): Gets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.
- [ListTrainingPlans](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrainingPlans.md): Retrieves a list of training plans for the current account.
- [ListTrainingSessions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrainingSessions.md): Lists training sessions in your account.
- [ListTransformJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTransformJobs.md): Lists transform jobs.
- [ListTrialComponents](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrialComponents.md): Lists the trial components in your account.
- [ListTrials](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListTrials.md): Lists the trials in your account.
- [ListUltraServersByReservedCapacity](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListUltraServersByReservedCapacity.md): Lists all UltraServers that are part of a specified reserved capacity.
- [ListUserProfiles](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListUserProfiles.md): Lists user profiles.
- [ListWorkforces](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListWorkforces.md): Use this operation to list all private and vendor workforces in an AWS Region.
- [ListWorkteams](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListWorkteams.md): Gets a list of private work teams that you have defined in a region.
- [PutModelPackageGroupPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PutModelPackageGroupPolicy.md): Adds a resouce policy to control access to a model group.
- [QueryLineage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_QueryLineage.md): Use this action to inspect your lineage and discover relationships between entities.
- [RegisterDevices](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RegisterDevices.md): Register devices.
- [RenderUiTemplate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RenderUiTemplate.md): Renders the UI template so that you can preview the worker's experience.
- [RetryPipelineExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RetryPipelineExecution.md): Retry the execution of the pipeline.
- [Search](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Search.md): Finds SageMaker resources that match a search query.
- [SearchTrainingPlanOfferings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SearchTrainingPlanOfferings.md): Searches for available training plan offerings based on specified criteria.
- [SendPipelineExecutionStepFailure](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SendPipelineExecutionStepFailure.md): Notifies the pipeline that the execution of a callback step failed, along with a message describing why.
- [SendPipelineExecutionStepSuccess](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SendPipelineExecutionStepSuccess.md): Notifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters.
- [StartClusterHealthCheck](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartClusterHealthCheck.md): Start deep health checks for a SageMaker HyperPod cluster.
- [StartEdgeDeploymentStage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartEdgeDeploymentStage.md): Starts a stage in an edge deployment plan.
- [StartInferenceExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartInferenceExperiment.md): Starts an inference experiment.
- [StartMlflowTrackingServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartMlflowTrackingServer.md): Programmatically start an MLflow Tracking Server.
- [StartMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartMonitoringSchedule.md): Starts a previously stopped monitoring schedule.
- [StartNotebookInstance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartNotebookInstance.md): Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.
- [StartPipelineExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartPipelineExecution.md): Starts a pipeline execution.
- [StartSession](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartSession.md): Initiates a remote connection session between a local integrated development environments (IDEs) and a remote SageMaker space.
- [StopAIBenchmarkJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopAIBenchmarkJob.md): Stops a running AI benchmark job.
- [StopAIRecommendationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopAIRecommendationJob.md): Stops a running AI recommendation job.
- [StopAutoMLJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopAutoMLJob.md): A method for forcing a running job to shut down.
- [StopCompilationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopCompilationJob.md): Stops a model compilation job.
- [StopEdgeDeploymentStage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopEdgeDeploymentStage.md): Stops a stage in an edge deployment plan.
- [StopEdgePackagingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopEdgePackagingJob.md): Request to stop an edge packaging job.
- [StopHyperParameterTuningJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopHyperParameterTuningJob.md): Stops a running hyperparameter tuning job and all running training jobs that the tuning job launched.
- [StopInferenceExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopInferenceExperiment.md): Stops an inference experiment.
- [StopInferenceRecommendationsJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopInferenceRecommendationsJob.md): Stops an Inference Recommender job.
- [StopJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopJob.md): Stops a running job.
- [StopLabelingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopLabelingJob.md): Stops a running labeling job.
- [StopMlflowTrackingServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopMlflowTrackingServer.md): Programmatically stop an MLflow Tracking Server.
- [StopMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopMonitoringSchedule.md): Stops a previously started monitoring schedule.
- [StopNotebookInstance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopNotebookInstance.md): Terminates the ML compute instance.
- [StopOptimizationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopOptimizationJob.md): Ends a running inference optimization job.
- [StopPipelineExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopPipelineExecution.md): Stops a pipeline execution.
- [StopProcessingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopProcessingJob.md): Stops a processing job.
- [StopTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopTrainingJob.md): Stops a training job.
- [StopTrainingSession](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopTrainingSession.md): Stops a running training session and sets the session status to Stopping.
- [StopTransformJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopTransformJob.md): Stops a batch transform job.
- [UpdateAction](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateAction.md): Updates an action.
- [UpdateAppImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateAppImageConfig.md): Updates the properties of an AppImageConfig.
- [UpdateArtifact](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateArtifact.md): Updates an artifact.
- [UpdateCluster](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateCluster.md): Updates a SageMaker HyperPod cluster.
- [UpdateClusterSchedulerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateClusterSchedulerConfig.md): Update the cluster policy configuration.
- [UpdateClusterSoftware](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateClusterSoftware.md): Updates the platform software of a SageMaker HyperPod cluster for security patching.
- [UpdateCodeRepository](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateCodeRepository.md): Updates the specified Git repository with the specified values.
- [UpdateComputeQuota](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateComputeQuota.md): Update the compute allocation definition.
- [UpdateContext](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateContext.md): Updates a context.
- [UpdateDeviceFleet](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateDeviceFleet.md): Updates a fleet of devices.
- [UpdateDevices](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateDevices.md): Updates one or more devices in a fleet.
- [UpdateDomain](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateDomain.md): Updates the default settings for new user profiles in the domain.
- [UpdateEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateEndpoint.md): Deploys the EndpointConfig specified in the request to a new fleet of instances.
- [UpdateEndpointWeightsAndCapacities](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateEndpointWeightsAndCapacities.md): Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint.
- [UpdateExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateExperiment.md): Adds, updates, or removes the description of an experiment.
- [UpdateFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateFeatureGroup.md): Updates the feature group by either adding features or updating the online store configuration.
- [UpdateFeatureMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateFeatureMetadata.md): Updates the description and parameters of the feature group.
- [UpdateHub](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateHub.md): Update a hub.
- [UpdateHubContent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateHubContent.md): Updates SageMaker hub content (either a Model or Notebook resource).
- [UpdateHubContentReference](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateHubContentReference.md): Updates the contents of a SageMaker hub for a ModelReference resource.
- [UpdateImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateImage.md): Updates the properties of a SageMaker AI image.
- [UpdateImageVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateImageVersion.md): Updates the properties of a SageMaker AI image version.
- [UpdateInferenceComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateInferenceComponent.md): Updates an inference component.
- [UpdateInferenceComponentRuntimeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateInferenceComponentRuntimeConfig.md): Runtime settings for a model that is deployed with an inference component.
- [UpdateInferenceExperiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateInferenceExperiment.md): Updates an inference experiment that you created.
- [UpdateMlflowApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateMlflowApp.md): Updates an MLflow App.
- [UpdateMlflowTrackingServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateMlflowTrackingServer.md): Updates properties of an existing MLflow Tracking Server.
- [UpdateModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateModelCard.md): Update an Amazon SageMaker Model Card.
- [UpdateModelPackage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateModelPackage.md): Updates a versioned model.
- [UpdateMonitoringAlert](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateMonitoringAlert.md): Update the parameters of a model monitor alert.
- [UpdateMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateMonitoringSchedule.md): Updates a previously created schedule.
- [UpdateNotebookInstance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateNotebookInstance.md): Updates a notebook instance.
- [UpdateNotebookInstanceLifecycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateNotebookInstanceLifecycleConfig.md): Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
- [UpdatePartnerApp](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdatePartnerApp.md): Updates all of the SageMaker Partner AI Apps in an account.
- [UpdatePipeline](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdatePipeline.md): Updates a pipeline.
- [UpdatePipelineExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdatePipelineExecution.md): Updates a pipeline execution.
- [UpdatePipelineVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdatePipelineVersion.md): Updates a pipeline version.
- [UpdateProject](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateProject.md): Updates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.
- [UpdateSpace](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateSpace.md): Updates the settings of a space.
- [UpdateTrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateTrainingJob.md): Update a model training job to request a new Debugger profiling configuration or to change warm pool retention length.
- [UpdateTrial](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateTrial.md): Updates the display name of a trial.
- [UpdateTrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateTrialComponent.md): Updates one or more properties of a trial component.
- [UpdateUserProfile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateUserProfile.md): Updates a user profile.
- [UpdateWorkforce](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateWorkforce.md): Use this operation to update your workforce.
- [UpdateWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateWorkteam.md): Updates an existing work team with new member definitions or description.

### Data Types

- [AcceleratorPartitionConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AcceleratorPartitionConfig.md): Configuration for allocating accelerator partitions.
- [AcceleratorPartitionLayout](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AcceleratorPartitionLayout.md): A layout of accelerator partitions for a production variant.
- [ActionSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ActionSource.md): A structure describing the source of an action.
- [ActionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ActionSummary.md): Lists the properties of an action.
- [AddClusterNodeSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AddClusterNodeSpecification.md): Specifies an instance group and the number of nodes to add to it.
- [AdditionalEnis](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AdditionalEnis.md): Information about additional Elastic Network Interfaces (ENIs) associated with an instance.
- [AdditionalInferenceSpecificationDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AdditionalInferenceSpecificationDefinition.md): A structure of additional Inference Specification.
- [AdditionalModelDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AdditionalModelDataSource.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AdditionalS3DataSource.md): A data source used for training or inference that is in addition to the input dataset or model data.
- [AgentVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AgentVersion.md): Edge Manager agent version.
- [AIAdapterModelPackageEntry](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIAdapterModelPackageEntry.md): A LoRA adapter entry identified by a model package ARN.
- [AIAdapterS3Entry](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIAdapterS3Entry.md): A LoRA adapter entry identified by an Amazon S3 URI.
- [AIAdapterSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIAdapterSource.md): The source of LoRA adapters for an AI recommendation job.
- [AIBenchmarkEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkEndpoint.md): The SageMaker endpoint configuration for benchmarking.
- [AIBenchmarkInferenceComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkInferenceComponent.md): An inference component to benchmark.
- [AIBenchmarkJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkJobSummary.md): Summary information about an AI benchmark job.
- [AIBenchmarkNetworkConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkNetworkConfig.md): The network configuration for an AI benchmark job.
- [AIBenchmarkOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkOutputConfig.md): The output configuration for an AI benchmark job.
- [AIBenchmarkOutputResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkOutputResult.md): The output result of an AI benchmark job, including the Amazon S3 location and CloudWatch log information.
- [AIBenchmarkTarget](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIBenchmarkTarget.md): The target for an AI benchmark job.
- [AICapacityReservationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AICapacityReservationConfig.md): The capacity reservation configuration for an AI recommendation job.
- [AICloudWatchLogs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AICloudWatchLogs.md): CloudWatch log information for an AI benchmark or recommendation job.
- [AIDatasetConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIDatasetConfig.md): The dataset configuration for an AI workload.
- [AIMlflowConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIMlflowConfig.md): The MLflow tracking configuration for logging metrics and parameters to a SageMaker managed MLflow tracking server.
- [AIModelSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIModelSource.md): The source of the model for an AI recommendation job.
- [AIModelSourceS3](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIModelSourceS3.md): The Amazon S3 model source configuration.
- [AIRecommendation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendation.md): An optimization recommendation generated by an AI recommendation job.
- [AIRecommendationAdapterDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationAdapterDetails.md): The per-recommendation LoRA adapter details.
- [AIRecommendationComputeSpec](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationComputeSpec.md): The compute resource specification for an AI recommendation job.
- [AIRecommendationConstraint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationConstraint.md): A performance constraint for an AI recommendation job.
- [AIRecommendationDeploymentConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationDeploymentConfiguration.md): The deployment configuration for a recommendation.
- [AIRecommendationDeploymentS3Channel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationDeploymentS3Channel.md): An Amazon S3 data channel for a recommended deployment configuration, containing model artifacts or optimized model outputs.
- [AIRecommendationInferenceSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationInferenceSpecification.md): The inference framework for an AI recommendation job.
- [AIRecommendationInstanceDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationInstanceDetail.md): Instance details for a recommendation.
- [AIRecommendationJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationJobSummary.md): Summary information about an AI recommendation job.
- [AIRecommendationModelDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationModelDetails.md): Details about the model package in a recommendation.
- [AIRecommendationOptimizationDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationOptimizationDetail.md): Details about an optimization technique applied in a recommendation.
- [AIRecommendationOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationOutputConfig.md): The output configuration for an AI recommendation job.
- [AIRecommendationOutputResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationOutputResult.md): The output configuration for an AI recommendation job, including the S3 location for results and the model package group for deployment.
- [AIRecommendationPerformanceMetric](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationPerformanceMetric.md): An expected performance metric for a recommendation.
- [AIRecommendationPerformanceTarget](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIRecommendationPerformanceTarget.md): The performance targets for an AI recommendation job.
- [AIWorkloadConfigs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIWorkloadConfigs.md): The benchmark tool configuration for an AI workload.
- [AIWorkloadConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIWorkloadConfigSummary.md): Summary information about an AI workload configuration.
- [AIWorkloadDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIWorkloadDataSource.md): The data source for an AI workload input data channel.
- [AIWorkloadInputDataConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIWorkloadInputDataConfig.md): A channel of input data for an AI workload configuration.
- [AIWorkloadS3DataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AIWorkloadS3DataSource.md): The Amazon S3 data source for an AI workload.
- [Alarm](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Alarm.md): An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.
- [AlarmDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlarmDetails.md): The details of the alarm to monitor during the AMI update.
- [AlgorithmSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmSpecification.md): Specifies the training algorithm to use in a CreateTrainingJob request.
- [AlgorithmStatusDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmStatusDetails.md): Specifies the validation and image scan statuses of the algorithm.
- [AlgorithmStatusItem](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmStatusItem.md): Represents the overall status of an algorithm.
- [AlgorithmSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmSummary.md): Provides summary information about an algorithm.
- [AlgorithmValidationProfile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmValidationProfile.md): Defines a training job and a batch transform job that SageMaker runs to validate your algorithm.
- [AlgorithmValidationSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AlgorithmValidationSpecification.md): Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.
- [AmazonQSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AmazonQSettings.md): A collection of settings that configure the Amazon Q experience within the domain.
- [AnnotationConsolidationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AnnotationConsolidationConfig.md): Configures how labels are consolidated across human workers and processes output data.
- [AppDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AppDetails.md): Details about an Amazon SageMaker AI app.
- [AppImageConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AppImageConfigDetails.md): The configuration for running a SageMaker AI image as a KernelGateway app.
- [AppLifecycleManagement](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AppLifecycleManagement.md): Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications.
- [AppSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AppSpecification.md): Configuration to run a processing job in a specified container image.
- [ArtifactSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ArtifactSource.md): A structure describing the source of an artifact.
- [ArtifactSourceType](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ArtifactSourceType.md): The ID and ID type of an artifact source.
- [ArtifactSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ArtifactSummary.md): Lists a summary of the properties of an artifact.
- [AssociationInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AssociationInfo.md): The data type used to describe the relationship between different sources.
- [AssociationSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AssociationSummary.md): Lists a summary of the properties of an association.
- [AsyncInferenceClientConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AsyncInferenceClientConfig.md): Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.
- [AsyncInferenceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AsyncInferenceConfig.md): Specifies configuration for how an endpoint performs asynchronous inference.
- [AsyncInferenceNotificationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AsyncInferenceNotificationConfig.md): Specifies the configuration for notifications of inference results for asynchronous inference.
- [AsyncInferenceOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AsyncInferenceOutputConfig.md): Specifies the configuration for asynchronous inference invocation outputs.
- [AthenaDatasetDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AthenaDatasetDefinition.md): Configuration for Athena Dataset Definition input.
- [AthenaStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AthenaStepMetadata.md): The query execution identifier and the result output location for the Amazon Athena query that an Athena step runs.
- [AuthorizedUrl](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AuthorizedUrl.md): Contains a presigned URL and its associated local file path for downloading hub content artifacts.
- [AutoMLAlgorithmConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLAlgorithmConfig.md): The selection of algorithms trained on your dataset to generate the model candidates for an Autopilot job.
- [AutoMLCandidate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLCandidate.md): Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.
- [AutoMLCandidateGenerationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLCandidateGenerationConfig.md): Stores the configuration information for how a candidate is generated (optional).
- [AutoMLCandidateStep](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLCandidateStep.md): Information about the steps for a candidate and what step it is working on.
- [AutoMLChannel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLChannel.md): A channel is a named input source that training algorithms can consume.
- [AutoMLComputeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLComputeConfig.md)
- [AutoMLContainerDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLContainerDefinition.md): A list of container definitions that describe the different containers that make up an AutoML candidate.
- [AutoMLDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLDataSource.md): The data source for the Autopilot job.
- [AutoMLDataSplitConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLDataSplitConfig.md): This structure specifies how to split the data into train and validation datasets.
- [AutoMLJobArtifacts](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobArtifacts.md): The artifacts that are generated during an AutoML job.
- [AutoMLJobChannel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobChannel.md): A channel is a named input source that training algorithms can consume.
- [AutoMLJobCompletionCriteria](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobCompletionCriteria.md): How long a job is allowed to run, or how many candidates a job is allowed to generate.
- [AutoMLJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobConfig.md): A collection of settings used for an AutoML job.
- [AutoMLJobObjective](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobObjective.md): Specifies a metric to minimize or maximize as the objective of an AutoML job.
- [AutoMLJobStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobStepMetadata.md): Metadata for an AutoML job step.
- [AutoMLJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLJobSummary.md): Provides a summary about an AutoML job.
- [AutoMLOutputDataConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLOutputDataConfig.md): The output data configuration.
- [AutoMLPartialFailureReason](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLPartialFailureReason.md): The reason for a partial failure of an AutoML job.
- [AutoMLProblemTypeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLProblemTypeConfig.md): A collection of settings specific to the problem type used to configure an AutoML job V2.
- [AutoMLProblemTypeResolvedAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLProblemTypeResolvedAttributes.md): Stores resolved attributes specific to the problem type of an AutoML job V2.
- [AutoMLResolvedAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLResolvedAttributes.md): The resolved attributes used to configure an AutoML job V2.
- [AutoMLS3DataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLS3DataSource.md): Describes the Amazon S3 data source.
- [AutoMLSecurityConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoMLSecurityConfig.md): Security options.
- [AutoParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoParameter.md): The name and an example value of the hyperparameter that you want to use in Autotune.
- [AutoRollbackConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AutoRollbackConfig.md): Automatic rollback configuration for handling endpoint deployment failures and recovery.
- [Autotune](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Autotune.md): A flag to indicate if you want to use Autotune to automatically find optimal values for the following fields:
- [AvailableUpgrade](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_AvailableUpgrade.md): Contains information about an available upgrade for a SageMaker Partner AI App, including the version number and release notes.
- [BaseModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BaseModel.md): Identifies the foundation model that was used as the starting point for model customization.
- [BatchAddClusterNodesError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchAddClusterNodesError.md): Information about an error that occurred during the node addition operation.
- [BatchDataCaptureConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDataCaptureConfig.md): Configuration to control how SageMaker captures inference data for batch transform jobs.
- [BatchDeleteClusterNodeLogicalIdsError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDeleteClusterNodeLogicalIdsError.md): Information about an error that occurred when attempting to delete a node identified by its NodeLogicalId.
- [BatchDeleteClusterNodesError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDeleteClusterNodesError.md): Represents an error encountered when deleting a node from a SageMaker HyperPod cluster.
- [BatchDescribeModelPackageError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDescribeModelPackageError.md): The error code and error description associated with the resource.
- [BatchDescribeModelPackageSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchDescribeModelPackageSummary.md): Provides summary information about the model package.
- [BatchRebootClusterNodeLogicalIdsError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchRebootClusterNodeLogicalIdsError.md): Represents an error encountered when rebooting a node (identified by its logical node ID) from a SageMaker HyperPod cluster.
- [BatchRebootClusterNodesError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchRebootClusterNodesError.md): Represents an error encountered when rebooting a node from a SageMaker HyperPod cluster.
- [BatchReplaceClusterNodeLogicalIdsError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchReplaceClusterNodeLogicalIdsError.md): Represents an error encountered when replacing a node (identified by its logical node ID) in a SageMaker HyperPod cluster.
- [BatchReplaceClusterNodesError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchReplaceClusterNodesError.md): Represents an error encountered when replacing a node in a SageMaker HyperPod cluster.
- [BatchTransformInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BatchTransformInput.md): Input object for the batch transform job.
- [BedrockCustomModelDeploymentMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BedrockCustomModelDeploymentMetadata.md): The metadata of the Amazon Bedrock custom model deployment.
- [BedrockCustomModelMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BedrockCustomModelMetadata.md): The metadata of the Amazon Bedrock custom model.
- [BedrockModelImportMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BedrockModelImportMetadata.md): The metadata of the Amazon Bedrock model import.
- [BedrockProvisionedModelThroughputMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BedrockProvisionedModelThroughputMetadata.md): The metadata of the Amazon Bedrock provisioned model throughput.
- [BestObjectiveNotImproving](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BestObjectiveNotImproving.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Bias.md): Contains bias metrics for a model.
- [BillableTokenUsage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BillableTokenUsage.md): The billable token usage for a training session, broken down by operation type.
- [BlueGreenUpdatePolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_BlueGreenUpdatePolicy.md): Update policy for a blue/green deployment.
- [CacheHitResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CacheHitResult.md): Details on the cache hit of a pipeline execution step.
- [CallbackStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CallbackStepMetadata.md): Metadata about a callback step.
- [CandidateArtifactLocations](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CandidateArtifactLocations.md): The location of artifacts for an AutoML candidate job.
- [CandidateGenerationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CandidateGenerationConfig.md): Stores the configuration information for how model candidates are generated using an AutoML job V2.
- [CandidateProperties](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CandidateProperties.md): The properties of an AutoML candidate job.
- [CanvasAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CanvasAppSettings.md): The SageMaker Canvas application settings.
- [CapacityReservation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CapacityReservation.md): Information about the Capacity Reservation used by an instance or instance group.
- [CapacitySize](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CapacitySize.md): Specifies the type and size of the endpoint capacity to activate for a blue/green deployment, a rolling deployment, or a rollback strategy.
- [CapacitySizeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CapacitySizeConfig.md): The configuration of the size measurements of the AMI update.
- [CaptureContentTypeHeader](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CaptureContentTypeHeader.md): Configuration specifying how to treat different headers.
- [CaptureOption](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CaptureOption.md): Specifies data Model Monitor will capture.
- [CategoricalParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CategoricalParameter.md): Environment parameters you want to benchmark your load test against.
- [CategoricalParameterRange](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CategoricalParameterRange.md): A list of categorical hyperparameters to tune.
- [CategoricalParameterRangeSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CategoricalParameterRangeSpecification.md): Defines the possible values for a categorical hyperparameter.
- [CfnCreateTemplateProvider](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnCreateTemplateProvider.md): The CloudFormation template provider configuration for creating infrastructure resources.
- [CfnStackCreateParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnStackCreateParameter.md): A key-value pair that represents a parameter for the CloudFormation stack.
- [CfnStackDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnStackDetail.md): Details about the CloudFormation stack.
- [CfnStackParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnStackParameter.md): A key-value pair representing a parameter used in the CloudFormation stack.
- [CfnStackUpdateParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnStackUpdateParameter.md): A key-value pair representing a parameter used in the CloudFormation stack.
- [CfnTemplateProviderDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnTemplateProviderDetail.md): Details about a CloudFormation template provider configuration and associated provisioning information.
- [CfnUpdateTemplateProvider](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CfnUpdateTemplateProvider.md): Contains configuration details for updating an existing CloudFormation template provider in the project.
- [Channel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Channel.md): A channel is a named input source that training algorithms can consume.
- [ChannelSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ChannelSpecification.md): Defines a named input source, called a channel, to be used by an algorithm.
- [CheckpointConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CheckpointConfig.md): Contains information about the output location for managed spot training checkpoint data.
- [ClarifyCheckStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClarifyCheckStepMetadata.md): The container for the metadata for the ClarifyCheck step.
- [ClarifyExplainerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClarifyExplainerConfig.md): The configuration parameters for the SageMaker Clarify explainer.
- [ClarifyInferenceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClarifyInferenceConfig.md): The inference configuration parameter for the model container.
- [ClarifyShapBaselineConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClarifyShapBaselineConfig.md): The configuration for the SHAP baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.
- [ClarifyShapConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClarifyShapConfig.md): The configuration for SHAP analysis using SageMaker Clarify Explainer.
- [ClarifyTextConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClarifyTextConfig.md): 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.
- [CleanupFailure](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CleanupFailure.md): The Amazon S3 output resources associated with an upstream step that the Cleanup step could not delete.
- [CleanupStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CleanupStepMetadata.md): The cleanup outcomes for Amazon S3 output resources associated with upstream steps.
- [ClusterAutoPatchConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterAutoPatchConfig.md): The configuration for automatic patching of the instance group.
- [ClusterAutoPatchConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterAutoPatchConfigDetails.md): The auto-patching configuration details for the instance group, including the patching strategy and schedule.
- [ClusterAutoScalingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterAutoScalingConfig.md): Specifies the autoscaling configuration for a HyperPod cluster.
- [ClusterAutoScalingConfigOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterAutoScalingConfigOutput.md): The autoscaling configuration and status information for a HyperPod cluster.
- [ClusterCapacityRequirements](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterCapacityRequirements.md): Defines the instance capacity requirements for an instance group, including configurations for both Spot and On-Demand capacity types.
- [ClusterEbsVolumeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterEbsVolumeConfig.md): Defines the configuration for attaching an additional Amazon Elastic Block Store (EBS) volume to each instance of the SageMaker HyperPod cluster instance group.
- [ClusterEventDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterEventDetail.md): Detailed information about a specific event in a HyperPod cluster.
- [ClusterEventSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterEventSummary.md): A summary of an event in a HyperPod cluster.
- [ClusterFsxLustreConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterFsxLustreConfig.md): Defines the configuration for attaching an Amazon FSx for Lustre file system to instances in a SageMaker HyperPod cluster instance group.
- [ClusterFsxOpenZfsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterFsxOpenZfsConfig.md): Defines the configuration for attaching an Amazon FSx for OpenZFS file system to instances in a SageMaker HyperPod cluster instance group.
- [ClusterInstanceGroupDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceGroupDetails.md): Details of an instance group in a SageMaker HyperPod cluster.
- [ClusterInstanceGroupSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceGroupSpecification.md): The specifications of an instance group that you need to define.
- [ClusterInstancePlacement](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstancePlacement.md): 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.
- [ClusterInstanceRequirementDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceRequirementDetails.md): The instance requirement details for a flexible instance group, including the current and desired instance types.
- [ClusterInstanceRequirements](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceRequirements.md): The instance requirements for a flexible instance group.
- [ClusterInstanceStatusDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceStatusDetails.md): Details of an instance in a SageMaker HyperPod cluster.
- [ClusterInstanceStorageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceStorageConfig.md): Defines the configuration for attaching additional storage to the instances in the SageMaker HyperPod cluster instance group.
- [ClusterInstanceTypeDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterInstanceTypeDetail.md): Details about a specific instance type within a flexible instance group, including the count and configuration.
- [ClusterKubernetesConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterKubernetesConfig.md): Kubernetes configuration that specifies labels and taints to be applied to cluster nodes in an instance group.
- [ClusterKubernetesConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterKubernetesConfigDetails.md): Detailed Kubernetes configuration showing both the current and desired state of labels and taints for cluster nodes.
- [ClusterKubernetesConfigNodeDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterKubernetesConfigNodeDetails.md): Node-specific Kubernetes configuration showing both current and desired state of labels and taints for an individual cluster node.
- [ClusterKubernetesTaint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterKubernetesTaint.md): A Kubernetes taint that can be applied to cluster nodes.
- [ClusterLifeCycleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterLifeCycleConfig.md): The lifecycle configuration for a SageMaker HyperPod cluster.
- [ClusterMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterMetadata.md): Metadata information about a HyperPod cluster showing information about the cluster level operations, such as creating, updating, and deleting.
- [ClusterNetworkInterface](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterNetworkInterface.md): The network interface configuration for a Amazon SageMaker HyperPod cluster instance group.
- [ClusterNetworkInterfaceDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterNetworkInterfaceDetails.md): The network interface configuration details for a Amazon SageMaker HyperPod cluster instance group.
- [ClusterNodeDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterNodeDetails.md): Details of an instance (also called a node interchangeably) in a SageMaker HyperPod cluster.
- [ClusterNodeSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterNodeSummary.md): Lists a summary of the properties of an instance (also called a node interchangeably) of a SageMaker HyperPod cluster.
- [ClusterOnDemandOptions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterOnDemandOptions.md): Configuration options specific to On-Demand instances.
- [ClusterOrchestrator](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterOrchestrator.md): The type of orchestrator used for the SageMaker HyperPod cluster.
- [ClusterOrchestratorEksConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterOrchestratorEksConfig.md): The configuration settings for the Amazon EKS cluster used as the orchestrator for the SageMaker HyperPod cluster.
- [ClusterOrchestratorSlurmConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterOrchestratorSlurmConfig.md): The configuration settings for the Slurm orchestrator used with the SageMaker HyperPod cluster.
- [ClusterPatchSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterPatchSchedule.md): The schedule configuration for automatic patching.
- [ClusterPatchScheduleDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterPatchScheduleDetails.md): The schedule details for automatic patching, including the next scheduled patch date.
- [ClusterRestrictedInstanceGroupDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterRestrictedInstanceGroupDetails.md): The instance group details of the restricted instance group (RIG).
- [ClusterRestrictedInstanceGroupsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterRestrictedInstanceGroupsConfig.md): The configuration for the restricted instance groups (RIG) in the SageMaker HyperPod cluster.
- [ClusterRestrictedInstanceGroupsConfigOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterRestrictedInstanceGroupsConfigOutput.md): The output configuration for the restricted instance groups (RIG) in the SageMaker HyperPod cluster.
- [ClusterRestrictedInstanceGroupSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterRestrictedInstanceGroupSpecification.md): The specifications of a restricted instance group that you need to define.
- [ClusterSchedulerConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSchedulerConfigSummary.md): Summary of the cluster policy.
- [ClusterSharedEnvironmentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSharedEnvironmentConfig.md): The shared environment configuration for the restricted instance groups (RIG).
- [ClusterSharedEnvironmentConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSharedEnvironmentConfigDetails.md): The shared environment configuration details for the restricted instance groups (RIG).
- [ClusterSlurmConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSlurmConfig.md): The Slurm configuration for an instance group in a SageMaker HyperPod cluster.
- [ClusterSlurmConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSlurmConfigDetails.md): The Slurm configuration details for an instance group in a SageMaker HyperPod cluster.
- [ClusterSpotOptions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSpotOptions.md): Configuration options specific to Spot instances.
- [ClusterSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterSummary.md): Lists a summary of the properties of a SageMaker HyperPod cluster.
- [ClusterTieredStorageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ClusterTieredStorageConfig.md): Defines the configuration for managed tier checkpointing in a HyperPod cluster.
- [CodeEditorAppImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CodeEditorAppImageConfig.md): The configuration for the file system and kernels in a SageMaker image running as a Code Editor app.
- [CodeEditorAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CodeEditorAppSettings.md): The Code Editor application settings.
- [CodeRepository](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CodeRepository.md): A Git repository that SageMaker AI automatically displays to users for cloning in the JupyterServer application.
- [CodeRepositorySummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CodeRepositorySummary.md): Specifies summary information about a Git repository.
- [CognitoConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CognitoConfig.md): Use this parameter to configure your Amazon Cognito workforce.
- [CognitoMemberDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CognitoMemberDefinition.md): Identifies a Amazon Cognito user group.
- [CollectionConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CollectionConfig.md): Configuration for your collection.
- [CollectionConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CollectionConfiguration.md): Configuration information for the Amazon SageMaker Debugger output tensor collections.
- [CompilationJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CompilationJobSummary.md): A summary of a model compilation job.
- [ComputeQuotaConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ComputeQuotaConfig.md): Configuration of the compute allocation definition for an entity.
- [ComputeQuotaResourceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ComputeQuotaResourceConfig.md): Configuration of the resources used for the compute allocation definition.
- [ComputeQuotaSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ComputeQuotaSummary.md): Summary of the compute allocation definition.
- [ComputeQuotaTarget](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ComputeQuotaTarget.md): The target entity to allocate compute resources to.
- [ConditionStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ConditionStepMetadata.md): Metadata for a Condition step.
- [ContainerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContainerConfig.md): The configuration used to run the application image container.
- [ContainerDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContainerDefinition.md): Describes the container, as part of model definition.
- [ContainerMetricsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContainerMetricsConfig.md): The configuration for container-level metrics scraping.
- [ContextSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContextSource.md): A structure describing the source of a context.
- [ContextSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContextSummary.md): Lists a summary of the properties of a context.
- [ContinuousParameterRange](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContinuousParameterRange.md): A list of continuous hyperparameters to tune.
- [ContinuousParameterRangeSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ContinuousParameterRangeSpecification.md): Defines the possible values for a continuous hyperparameter.
- [ConvergenceDetected](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ConvergenceDetected.md): 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.
- [CreateTemplateProvider](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTemplateProvider.md): Contains configuration details for a template provider.
- [CustomFileSystem](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CustomFileSystem.md): A file system, created by you, that you assign to a user profile or space for an Amazon SageMaker AI Domain.
- [CustomFileSystemConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CustomFileSystemConfig.md): The settings for assigning a custom file system to a user profile or space for an Amazon SageMaker AI Domain.
- [CustomImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CustomImage.md): A custom SageMaker AI image.
- [CustomizedMetricSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CustomizedMetricSpecification.md): A customized metric.
- [CustomPosixUserConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CustomPosixUserConfig.md): Details about the POSIX identity that is used for file system operations.
- [DataCaptureConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataCaptureConfig.md): Configuration to control how SageMaker AI captures inference data.
- [DataCaptureConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataCaptureConfigSummary.md): The currently active data capture configuration used by your Endpoint.
- [DataCatalogConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataCatalogConfig.md): The meta data of the Glue table which serves as data catalog for the OfflineStore.
- [DataProcessing](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataProcessing.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataQualityAppSpecification.md): Information about the container that a data quality monitoring job runs.
- [DataQualityBaselineConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataQualityBaselineConfig.md): Configuration for monitoring constraints and monitoring statistics.
- [DataQualityJobInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataQualityJobInput.md): The input for the data quality monitoring job.
- [DatasetDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DatasetDefinition.md): Configuration for Dataset Definition inputs.
- [DatasetSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DatasetSource.md): Specifies a dataset source for a channel.
- [DataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DataSource.md): Describes the location of the channel data.
- [DebugHookConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DebugHookConfig.md): Configuration information for the Amazon SageMaker Debugger hook parameters, metric and tensor collections, and storage paths.
- [DebugRuleConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DebugRuleConfiguration.md): Configuration information for SageMaker Debugger rules for debugging.
- [DebugRuleEvaluationStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DebugRuleEvaluationStatus.md): Information about the status of the rule evaluation.
- [DefaultEbsStorageSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DefaultEbsStorageSettings.md): A collection of default EBS storage settings that apply to spaces created within a domain or user profile.
- [DefaultSpaceSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DefaultSpaceSettings.md): The default settings for shared spaces that users create in the domain.
- [DefaultSpaceStorageSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DefaultSpaceStorageSettings.md): The default storage settings for a space.
- [DeployedImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeployedImage.md): Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
- [DeploymentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeploymentConfig.md): The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.
- [DeploymentConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeploymentConfiguration.md): The configuration to use when updating the AMI versions.
- [DeploymentRecommendation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeploymentRecommendation.md): A set of recommended deployment configurations for the model.
- [DeploymentStage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeploymentStage.md): Contains information about a stage in an edge deployment plan.
- [DeploymentStageStatusSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeploymentStageStatusSummary.md): Contains information summarizing the deployment stage results.
- [DerivedInformation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DerivedInformation.md): Information that SageMaker Neo automatically derived about the model.
- [DesiredWeightAndCapacity](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DesiredWeightAndCapacity.md): Specifies weight and capacity values for a production variant.
- [Device](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Device.md): Information of a particular device.
- [DeviceDeploymentSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeviceDeploymentSummary.md): Contains information summarizing device details and deployment status.
- [DeviceFleetSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeviceFleetSummary.md): Summary of the device fleet.
- [DeviceSelectionConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeviceSelectionConfig.md): Contains information about the configurations of selected devices.
- [DeviceStats](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeviceStats.md): Status of devices.
- [DeviceSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeviceSummary.md): Summary of the device.
- [DirectDeploySettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DirectDeploySettings.md): The model deployment settings for the SageMaker Canvas application.
- [DockerSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DockerSettings.md): A collection of settings that configure the domain's Docker interaction.
- [DomainDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DomainDetails.md): The domain's details.
- [DomainSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DomainSettings.md): A collection of settings that apply to the SageMaker Domain.
- [DomainSettingsForUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DomainSettingsForUpdate.md): A collection of Domain configuration settings to update.
- [DriftCheckBaselines](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DriftCheckBaselines.md): Represents the drift check baselines that can be used when the model monitor is set using the model package.
- [DriftCheckBias](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DriftCheckBias.md): Represents the drift check bias baselines that can be used when the model monitor is set using the model package.
- [DriftCheckExplainability](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DriftCheckExplainability.md): Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.
- [DriftCheckModelDataQuality](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DriftCheckModelDataQuality.md): Represents the drift check data quality baselines that can be used when the model monitor is set using the model package.
- [DriftCheckModelQuality](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DriftCheckModelQuality.md): Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.
- [DynamicScalingConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DynamicScalingConfiguration.md): An object with the recommended values for you to specify when creating an autoscaling policy.
- [EbsStorageSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EbsStorageSettings.md): A collection of EBS storage settings that apply to both private and shared spaces.
- [Ec2CapacityReservation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Ec2CapacityReservation.md): The EC2 capacity reservations that are shared to an ML capacity reservation.
- [Edge](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Edge.md): A directed edge connecting two lineage entities.
- [EdgeDeploymentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeDeploymentConfig.md): Contains information about the configuration of a deployment.
- [EdgeDeploymentModelConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeDeploymentModelConfig.md): Contains information about the configuration of a model in a deployment.
- [EdgeDeploymentPlanSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeDeploymentPlanSummary.md): Contains information summarizing an edge deployment plan.
- [EdgeDeploymentStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeDeploymentStatus.md): Contains information summarizing the deployment stage results.
- [EdgeModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeModel.md): The model on the edge device.
- [EdgeModelStat](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeModelStat.md): Status of edge devices with this model.
- [EdgeModelSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeModelSummary.md): Summary of model on edge device.
- [EdgeOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgeOutputConfig.md): The output configuration.
- [EdgePackagingJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgePackagingJobSummary.md): Summary of edge packaging job.
- [EdgePresetDeploymentOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EdgePresetDeploymentOutput.md): The output of a SageMaker Edge Manager deployable resource.
- [EFSFileSystem](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EFSFileSystem.md): A file system, created by you in Amazon EFS, that you assign to a user profile or space for an Amazon SageMaker AI Domain.
- [EFSFileSystemConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EFSFileSystemConfig.md): The settings for assigning a custom Amazon EFS file system to a user profile or space for an Amazon SageMaker AI Domain.
- [EmrServerlessComputeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EmrServerlessComputeConfig.md)
- [EmrServerlessSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EmrServerlessSettings.md): The settings for running Amazon EMR Serverless jobs in SageMaker Canvas.
- [EMRServerlessStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EMRServerlessStepMetadata.md): The configurations and outcomes of an Amazon EMR Serverless step execution.
- [EmrSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EmrSettings.md): The configuration parameters that specify the IAM roles assumed by the execution role of SageMaker (assumable roles) and the cluster instances or job execution environments (execution roles or runtime roles) to manage and access resources required for running Amazon EMR clusters or Amazon EMR Serverless applications.
- [EMRStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EMRStepMetadata.md): The configurations and outcomes of an Amazon EMR step execution.
- [Endpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Endpoint.md): A hosted endpoint for real-time inference.
- [EndpointConfigStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointConfigStepMetadata.md): Metadata for an endpoint configuration step.
- [EndpointConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointConfigSummary.md): Provides summary information for an endpoint configuration.
- [EndpointInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointInfo.md): Details about a customer endpoint that was compared in an Inference Recommender job.
- [EndpointInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointInput.md): Input object for the endpoint
- [EndpointInputConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointInputConfiguration.md): The endpoint configuration for the load test.
- [EndpointMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointMetadata.md): The metadata of the endpoint.
- [EndpointOutputConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointOutputConfiguration.md): The endpoint configuration made by Inference Recommender during a recommendation job.
- [EndpointPerformance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointPerformance.md): The performance results from running an Inference Recommender job on an existing endpoint.
- [EndpointStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointStepMetadata.md): Metadata for an endpoint step.
- [EndpointSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EndpointSummary.md): Provides summary information for an endpoint.
- [EnvironmentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EnvironmentConfig.md): The configuration for the restricted instance groups (RIG) environment.
- [EnvironmentConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EnvironmentConfigDetails.md): The configuration details for the restricted instance groups (RIG) environment.
- [EnvironmentParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EnvironmentParameter.md): A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.
- [EnvironmentParameterRanges](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EnvironmentParameterRanges.md): Specifies the range of environment parameters
- [ErrorInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ErrorInfo.md): This is an error field object that contains the error code and the reason for an operation failure.
- [EventDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EventDetails.md): Detailed information about a specific event, including event metadata.
- [EventMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_EventMetadata.md): Metadata associated with a cluster event, which may include details about various resource types.
- [Experiment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Experiment.md): The properties of an experiment as returned by the Search API.
- [ExperimentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ExperimentConfig.md): Associates a SageMaker job as a trial component with an experiment and trial.
- [ExperimentSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ExperimentSource.md): The source of the experiment.
- [ExperimentSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ExperimentSummary.md): A summary of the properties of an experiment.
- [Explainability](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Explainability.md): Contains explainability metrics for a model.
- [ExplainerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ExplainerConfig.md): A parameter to activate explainers.
- [FailStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FailStepMetadata.md): The container for the metadata for Fail step.
- [FeatureDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FeatureDefinition.md): A list of features.
- [FeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FeatureGroup.md): Amazon SageMaker Feature Store stores features in a collection called Feature Group.
- [FeatureGroupSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FeatureGroupSummary.md): The name, ARN, CreationTime, FeatureGroup values, LastUpdatedTime and EnableOnlineStorage status of a FeatureGroup.
- [FeatureMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FeatureMetadata.md): The metadata for a feature.
- [FeatureParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FeatureParameter.md): A key-value pair that you specify to describe the feature.
- [FileSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FileSource.md): Contains details regarding the file source.
- [FileSystemConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FileSystemConfig.md): The Amazon Elastic File System storage configuration for a SageMaker AI image.
- [FileSystemDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FileSystemDataSource.md): Specifies a file system data source for a channel.
- [Filter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Filter.md): A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
- [FinalAutoMLJobObjectiveMetric](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FinalAutoMLJobObjectiveMetric.md): The best candidate result from an AutoML training job.
- [FinalHyperParameterTuningJobObjectiveMetric](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FinalHyperParameterTuningJobObjectiveMetric.md): Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job.
- [FlowDefinitionOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FlowDefinitionOutputConfig.md): Contains information about where human output will be stored.
- [FlowDefinitionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FlowDefinitionSummary.md): Contains summary information about the flow definition.
- [ForEachSelectorResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ForEachSelectorResult.md): The result of the selector that identifies an iteration of a ForEach step.
- [ForEachStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ForEachStepMetadata.md): The status, the iteration-step counts, and the selector information for a ForEach step execution.
- [FSxLustreConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FSxLustreConfig.md): Configuration settings for an Amazon FSx for Lustre file system to be used with the cluster.
- [FSxLustreFileSystem](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FSxLustreFileSystem.md): A custom file system in Amazon FSx for Lustre.
- [FSxLustreFileSystemConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_FSxLustreFileSystemConfig.md): The settings for assigning a custom Amazon FSx for Lustre file system to a user profile or space for an Amazon SageMaker Domain.
- [GenerativeAiSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GenerativeAiSettings.md): The generative AI settings for the SageMaker Canvas application.
- [GitConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GitConfig.md): Specifies configuration details for a Git repository in your AWS account.
- [GitConfigForUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_GitConfigForUpdate.md): Specifies configuration details for a Git repository when the repository is updated.
- [HiddenSageMakerImage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HiddenSageMakerImage.md): The SageMaker images that are hidden from the Studio user interface.
- [HolidayConfigAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HolidayConfigAttributes.md): Stores the holiday featurization attributes applicable to each item of time-series datasets during the training of a forecasting model.
- [HubAccessConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HubAccessConfig.md): The configuration for a private hub model reference that points to a public SageMaker JumpStart model.
- [HubContent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HubContent.md): Contains information about a hub content resource, including its name, version, type, associated documents, dependencies, and status, as returned by a search result.
- [HubContentDependency](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HubContentDependency.md): Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.
- [HubContentInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HubContentInfo.md): Information about hub content.
- [HubInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HubInfo.md): Information about a hub.
- [HubS3StorageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HubS3StorageConfig.md): The Amazon S3 storage configuration of a hub.
- [HumanLoopActivationConditionsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanLoopActivationConditionsConfig.md): Defines under what conditions SageMaker creates a human loop.
- [HumanLoopActivationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanLoopActivationConfig.md): Provides information about how and under what conditions SageMaker creates a human loop.
- [HumanLoopConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanLoopConfig.md): Describes the work to be performed by human workers.
- [HumanLoopRequestSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanLoopRequestSource.md): Container for configuring the source of human task requests.
- [HumanTaskConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanTaskConfig.md): Information required for human workers to complete a labeling task.
- [HumanTaskUiSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HumanTaskUiSummary.md): Container for human task user interface information.
- [HyperbandStrategyConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperbandStrategyConfig.md): The configuration for Hyperband, a multi-fidelity based hyperparameter tuning strategy.
- [HyperParameterAlgorithmSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterAlgorithmSpecification.md): Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.
- [HyperParameterSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterSpecification.md): Defines a hyperparameter to be used by an algorithm.
- [HyperParameterTrainingJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTrainingJobDefinition.md): Defines the training jobs launched by a hyperparameter tuning job.
- [HyperParameterTrainingJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTrainingJobSummary.md): The container for the summary information about a training job.
- [HyperParameterTuningInstanceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningInstanceConfig.md): The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job.
- [HyperParameterTuningJobCompletionDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobCompletionDetails.md): A structure that contains runtime information about both current and completed hyperparameter tuning jobs.
- [HyperParameterTuningJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobConfig.md): Configures a hyperparameter tuning job.
- [HyperParameterTuningJobConsumedResources](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobConsumedResources.md): The total resources consumed by your hyperparameter tuning job.
- [HyperParameterTuningJobObjective](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobObjective.md): Defines the objective metric for a hyperparameter tuning job.
- [HyperParameterTuningJobSearchEntity](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobSearchEntity.md): An entity returned by the SearchRecord API containing the properties of a hyperparameter tuning job.
- [HyperParameterTuningJobStrategyConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobStrategyConfig.md): The configuration for a training job launched by a hyperparameter tuning job.
- [HyperParameterTuningJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobSummary.md): Provides summary information about a hyperparameter tuning job.
- [HyperParameterTuningJobWarmStartConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobWarmStartConfig.md): Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point.
- [HyperParameterTuningResourceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningResourceConfig.md): The configuration of resources, including compute instances and storage volumes for use in training jobs launched by hyperparameter tuning jobs.
- [IamIdentity](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IamIdentity.md): The IAM Identity details associated with the user.
- [IamPolicyConstraints](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IamPolicyConstraints.md): Use this parameter to specify a supported global condition key that is added to the IAM policy.
- [IdcConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IdcConfigInput.md): Specifies the AWS IAM Identity Center configuration to use for a SageMaker Partner AI App that uses IDC authorization.
- [IdcConfigOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IdcConfigOutput.md): Contains the AWS IAM Identity Center configuration of a SageMaker Partner AI App that uses IDC authorization.
- [IdentityProviderOAuthSetting](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IdentityProviderOAuthSetting.md): The Amazon SageMaker Canvas application setting where you configure OAuth for connecting to an external data source, such as Snowflake.
- [IdleSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IdleSettings.md): Settings related to idle shutdown of Studio applications.
- [Image](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Image.md): A SageMaker AI image.
- [ImageClassificationJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ImageClassificationJobConfig.md): The collection of settings used by an AutoML job V2 for the image classification problem type.
- [ImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ImageConfig.md): Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).
- [ImageVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ImageVersion.md): A version of a SageMaker AI Image.
- [InferenceComponentAvailabilityZoneBalance](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentAvailabilityZoneBalance.md): Configuration for balancing inference component copies across Availability Zones.
- [InferenceComponentCapacitySize](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentCapacitySize.md): Specifies the type and size of the endpoint capacity to activate for a rolling deployment or a rollback strategy.
- [InferenceComponentComputeResourceRequirements](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentComputeResourceRequirements.md): Defines the compute resources to allocate to run a model, plus any adapter models, that you assign to an inference component.
- [InferenceComponentContainerSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentContainerSpecification.md): Defines a container that provides the runtime environment for a model that you deploy with an inference component.
- [InferenceComponentContainerSpecificationSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentContainerSpecificationSummary.md): Details about the resources that are deployed with this inference component.
- [InferenceComponentDataCacheConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentDataCacheConfig.md): Settings that affect how the inference component caches data.
- [InferenceComponentDataCacheConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentDataCacheConfigSummary.md): Settings that affect how the inference component caches data.
- [InferenceComponentDeploymentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentDeploymentConfig.md): The deployment configuration for an endpoint that hosts inference components.
- [InferenceComponentMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentMetadata.md): The metadata of the inference component.
- [InferenceComponentPlacementStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentPlacementStatus.md): The placement status of an inference component on a specific instance type.
- [InferenceComponentRollingUpdatePolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentRollingUpdatePolicy.md): Specifies a rolling deployment strategy for updating a SageMaker AI inference component.
- [InferenceComponentRuntimeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentRuntimeConfig.md): Runtime settings for a model that is deployed with an inference component.
- [InferenceComponentRuntimeConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentRuntimeConfigSummary.md): Details about the runtime settings for the model that is deployed with the inference component.
- [InferenceComponentSchedulingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentSchedulingConfig.md): The scheduling configuration that determines how inference component copies are placed across available instances when copies are added or removed.
- [InferenceComponentSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentSpecification.md): Details about the resources to deploy with this inference component, including the model, container, and compute resources.
- [InferenceComponentSpecificationSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentSpecificationSummary.md): Details about the resources that are deployed with this inference component.
- [InferenceComponentStartupParameters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentStartupParameters.md): Settings that take effect while the model container starts up.
- [InferenceComponentSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceComponentSummary.md): A summary of the properties of an inference component.
- [InferenceExecutionConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceExecutionConfig.md): Specifies details about how containers in a multi-container endpoint are run.
- [InferenceExperimentDataStorageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceExperimentDataStorageConfig.md): The Amazon S3 location and configuration for storing inference request and response data.
- [InferenceExperimentSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceExperimentSchedule.md): The start and end times of an inference experiment.
- [InferenceExperimentSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceExperimentSummary.md): Lists a summary of properties of an inference experiment.
- [InferenceHubAccessConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceHubAccessConfig.md): Configuration information specifying which hub contents have accessible deployment options.
- [InferenceMetrics](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceMetrics.md): The metrics for an existing endpoint compared in an Inference Recommender job.
- [InferenceRecommendation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceRecommendation.md): A list of recommendations made by Amazon SageMaker Inference Recommender.
- [InferenceRecommendationsJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceRecommendationsJob.md): A structure that contains a list of recommendation jobs.
- [InferenceRecommendationsJobStep](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceRecommendationsJobStep.md): A returned array object for the Steps response field in the ListInferenceRecommendationsJobSteps API command.
- [InferenceSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InferenceSpecification.md): Defines how to perform inference generation after a training job is run.
- [InfraCheckConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InfraCheckConfig.md): Configuration information for the infrastructure health check of a training job.
- [InputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InputConfig.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceGroup.md): Defines an instance group for heterogeneous cluster training.
- [InstanceGroupHealthCheckConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceGroupHealthCheckConfiguration.md): The configuration of deep health checks for an instance group.
- [InstanceGroupMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceGroupMetadata.md): Metadata information about an instance group in a HyperPod cluster.
- [InstanceGroupScalingMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceGroupScalingMetadata.md): Metadata information about scaling operations for an instance group.
- [InstanceMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceMetadata.md): Metadata information about an instance in a HyperPod cluster.
- [InstanceMetadataServiceConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceMetadataServiceConfiguration.md): Information on the IMDS configuration of the notebook instance
- [InstancePlacementConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstancePlacementConfig.md): Configuration for how instances are placed and allocated within UltraServers.
- [InstancePool](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstancePool.md): Specifies an instance type and its priority for a heterogeneous endpoint.
- [InstancePoolSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstancePoolSummary.md): A summary of an instance pool for a production variant, including the instance type and the current number of instances.
- [InstancePreference](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstancePreference.md): A candidate instance type preference in an InstancePreferences list.
- [InstanceRequirementsEniConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_InstanceRequirementsEniConfiguration.md): The customer ENI and additional ENIs associated with a network interface category.
- [IntegerParameterRange](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IntegerParameterRange.md): For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
- [IntegerParameterRangeSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IntegerParameterRangeSpecification.md): Defines the possible values for an integer hyperparameter.
- [IterationContext](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_IterationContext.md): The context for an iteration of a ForEach step.
- [Job](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Job.md): The properties of a job returned by the Search API.
- [JobConfigSchemaVersionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JobConfigSchemaVersionSummary.md): Provides summary information about a job configuration schema version.
- [JobSecondaryStatusTransition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JobSecondaryStatusTransition.md): Represents a secondary status transition for a job.
- [JobStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JobStepMetadata.md): Metadata for a SageMaker job step.
- [JobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JobSummary.md): Provides summary information about a job, returned by the ListJobs operation.
- [JupyterLabAppImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JupyterLabAppImageConfig.md): The configuration for the file system and kernels in a SageMaker AI image running as a JupyterLab app.
- [JupyterLabAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JupyterLabAppSettings.md): The settings for the JupyterLab application.
- [JupyterServerAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_JupyterServerAppSettings.md): The JupyterServer app settings.
- [KendraSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_KendraSettings.md): The Amazon SageMaker Canvas application setting where you configure document querying.
- [KernelGatewayAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_KernelGatewayAppSettings.md): The KernelGateway app settings.
- [KernelGatewayImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_KernelGatewayImageConfig.md): The configuration for the file system and kernels in a SageMaker AI image running as a KernelGateway app.
- [KernelSpec](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_KernelSpec.md): The specification of a Jupyter kernel.
- [LabelCounters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelCounters.md): Provides a breakdown of the number of objects labeled.
- [LabelCountersForWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelCountersForWorkteam.md): Provides counts for human-labeled tasks in the labeling job.
- [LabelingJobAlgorithmsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobAlgorithmsConfig.md): Provides configuration information for auto-labeling of your data objects.
- [LabelingJobDataAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobDataAttributes.md): Attributes of the data specified by the customer.
- [LabelingJobDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobDataSource.md): Provides information about the location of input data.
- [LabelingJobForWorkteamSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobForWorkteamSummary.md): Provides summary information for a work team.
- [LabelingJobInputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobInputConfig.md): Input configuration information for a labeling job.
- [LabelingJobOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobOutput.md): Specifies the location of the output produced by the labeling job.
- [LabelingJobOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobOutputConfig.md): Output configuration information for a labeling job.
- [LabelingJobResourceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobResourceConfig.md): Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.
- [LabelingJobS3DataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobS3DataSource.md): The Amazon S3 location of the input data objects.
- [LabelingJobSnsDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobSnsDataSource.md): An Amazon SNS data source used for streaming labeling jobs.
- [LabelingJobStoppingConditions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobStoppingConditions.md): A set of conditions for stopping a labeling job.
- [LabelingJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LabelingJobSummary.md): Provides summary information about a labeling job.
- [LambdaStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LambdaStepMetadata.md): Metadata for a Lambda step.
- [LastUpdateStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LastUpdateStatus.md): A value that indicates whether the update was successful.
- [LineageGroupSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LineageGroupSummary.md): Lists a summary of the properties of a lineage group.
- [LineageMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LineageMetadata.md): The metadata that tracks relationships between ML artifacts, actions, and contexts.
- [LoraConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_LoraConfig.md): The Low-Rank Adaptation (LoRA) configuration for a training session, including the rank and alpha parameters.
- [ManagedConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ManagedConfiguration.md): The managed configuration of a model package group.
- [MemberDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MemberDefinition.md): Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.
- [MetadataProperties](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetadataProperties.md): Metadata properties of the tracking entity, trial, or trial component.
- [MetricData](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricData.md): The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
- [MetricDatum](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricDatum.md): Information about the metric for a candidate produced by an AutoML job.
- [MetricDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricDefinition.md): Specifies a metric that the training algorithm writes to stderr or stdout.
- [MetricsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricsConfig.md): The configuration for Utilization metrics.
- [MetricsEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricsEndpoint.md): Specifies a metrics endpoint for a container, including the path where the container exposes Prometheus-formatted metrics and the frequency at which to publish them to Amazon CloudWatch.
- [MetricSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricSpecification.md): An object containing information about a metric.
- [MetricsSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MetricsSource.md): Details about the metrics source.
- [MlflowAppSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MlflowAppSummary.md): The summary of the Mlflow App to list.
- [MlflowConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MlflowConfig.md): The MLflow configuration using SageMaker managed MLflow.
- [MLflowConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MLflowConfiguration.md): The MLflow configuration.
- [MlflowDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MlflowDetails.md): The MLflow details of this job.
- [Model](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Model.md): The properties of a model as returned by the Search API.
- [ModelAccessConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelAccessConfig.md): The access configuration file to control access to the ML model.
- [ModelArtifacts](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelArtifacts.md): Provides information about the location that is configured for storing model artifacts.
- [ModelBiasAppSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelBiasAppSpecification.md): Docker container image configuration object for the model bias job.
- [ModelBiasBaselineConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelBiasBaselineConfig.md): The configuration for a baseline model bias job.
- [ModelBiasJobInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelBiasJobInput.md): Inputs for the model bias job.
- [ModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCard.md): An Amazon SageMaker Model Card.
- [ModelCardExportArtifacts](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCardExportArtifacts.md): The artifacts of the model card export job.
- [ModelCardExportJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCardExportJobSummary.md): The summary of the Amazon SageMaker Model Card export job.
- [ModelCardExportOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCardExportOutputConfig.md): Configure the export output details for an Amazon SageMaker Model Card.
- [ModelCardSecurityConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCardSecurityConfig.md): Configure the security settings to protect model card data.
- [ModelCardSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCardSummary.md): A summary of the model card.
- [ModelCardVersionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCardVersionSummary.md): A summary of a specific version of the model card.
- [ModelClientConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelClientConfig.md): Configures the timeout and maximum number of retries for processing a transform job invocation.
- [ModelCompilationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelCompilationConfig.md): Settings for the model compilation technique that's applied by a model optimization job.
- [ModelConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelConfiguration.md): Defines the model configuration.
- [ModelDashboardEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDashboardEndpoint.md): An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.
- [ModelDashboardIndicatorAction](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDashboardIndicatorAction.md): An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into InAlert status.
- [ModelDashboardModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDashboardModel.md): A model displayed in the Amazon SageMaker Model Dashboard.
- [ModelDashboardModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDashboardModelCard.md): The model card for a model displayed in the Amazon SageMaker Model Dashboard.
- [ModelDashboardMonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDashboardMonitoringSchedule.md): A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.
- [ModelDataQuality](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDataQuality.md): Data quality constraints and statistics for a model.
- [ModelDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDataSource.md): Specifies the location of ML model data to deploy.
- [ModelDeployConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDeployConfig.md): Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.
- [ModelDeployResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDeployResult.md): Provides information about the endpoint of the model deployment.
- [ModelDigests](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelDigests.md): Provides information to verify the integrity of stored model artifacts.
- [ModelExplainabilityAppSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelExplainabilityAppSpecification.md): Docker container image configuration object for the model explainability job.
- [ModelExplainabilityBaselineConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelExplainabilityBaselineConfig.md): The configuration for a baseline model explainability job.
- [ModelExplainabilityJobInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelExplainabilityJobInput.md): Inputs for the model explainability job.
- [ModelInfrastructureConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelInfrastructureConfig.md): The configuration for the infrastructure that the model will be deployed to.
- [ModelInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelInput.md): Input object for the model.
- [ModelLatencyThreshold](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelLatencyThreshold.md): The model latency threshold.
- [ModelLifeCycle](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelLifeCycle.md): A structure describing the current state of the model in its life cycle.
- [ModelMetadataFilter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelMetadataFilter.md): Part of the search expression.
- [ModelMetadataSearchExpression](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelMetadataSearchExpression.md): One or more filters that searches for the specified resource or resources in a search.
- [ModelMetadataSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelMetadataSummary.md): A summary of the model metadata.
- [ModelMetrics](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelMetrics.md): Contains metrics captured from a model.
- [ModelPackage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackage.md): A container for your trained model that can be deployed for SageMaker inference.
- [ModelPackageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageConfig.md): The configuration for the Model package.
- [ModelPackageContainerDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageContainerDefinition.md): Describes the Docker container for the model package.
- [ModelPackageGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageGroup.md): A group of versioned models in the Model Registry.
- [ModelPackageGroupSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageGroupSummary.md): Summary information about a model group.
- [ModelPackageModelCard](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageModelCard.md): The model card associated with the model package.
- [ModelPackageSecurityConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageSecurityConfig.md): An optional AWS Key Management Service key to encrypt, decrypt, and re-encrypt model package information for regulated workloads with highly sensitive data.
- [ModelPackageStatusDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageStatusDetails.md): Specifies the validation and image scan statuses of the model package.
- [ModelPackageStatusItem](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageStatusItem.md): Represents the overall status of a model package.
- [ModelPackageSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageSummary.md): Provides summary information about a model package.
- [ModelPackageValidationProfile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageValidationProfile.md): Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.
- [ModelPackageValidationSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelPackageValidationSpecification.md): Specifies batch transform jobs that SageMaker runs to validate your model package.
- [ModelQuality](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelQuality.md): Model quality statistics and constraints.
- [ModelQualityAppSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelQualityAppSpecification.md): Container image configuration object for the monitoring job.
- [ModelQualityBaselineConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelQualityBaselineConfig.md): Configuration for monitoring constraints and monitoring statistics.
- [ModelQualityJobInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelQualityJobInput.md): The input for the model quality monitoring job.
- [ModelQuantizationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelQuantizationConfig.md): Settings for the model quantization technique that's applied by a model optimization job.
- [ModelRegisterSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelRegisterSettings.md): The model registry settings for the SageMaker Canvas application.
- [ModelShardingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelShardingConfig.md): Settings for the model sharding technique that's applied by a model optimization job.
- [ModelSpeculativeDecodingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelSpeculativeDecodingConfig.md): Settings for the model speculative decoding technique that's applied by a model optimization job.
- [ModelSpeculativeDecodingTrainingDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelSpeculativeDecodingTrainingDataSource.md): Contains information about the training data source for speculative decoding.
- [ModelStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelStepMetadata.md): Metadata for Model steps.
- [ModelSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelSummary.md): Provides summary information about a model.
- [ModelVariantConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelVariantConfig.md): Contains information about the deployment options of a model.
- [ModelVariantConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ModelVariantConfigSummary.md): Summary of the deployment configuration of a model.
- [MonitoringAlertActions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringAlertActions.md): A list of alert actions taken in response to an alert going into InAlert status.
- [MonitoringAlertHistorySummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringAlertHistorySummary.md): Provides summary information of an alert's history.
- [MonitoringAlertSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringAlertSummary.md): Provides summary information about a monitor alert.
- [MonitoringAppSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringAppSpecification.md): Container image configuration object for the monitoring job.
- [MonitoringBaselineConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringBaselineConfig.md): Configuration for monitoring constraints and monitoring statistics.
- [MonitoringClusterConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringClusterConfig.md): Configuration for the cluster used to run model monitoring jobs.
- [MonitoringConstraintsResource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringConstraintsResource.md): The constraints resource for a monitoring job.
- [MonitoringCsvDatasetFormat](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringCsvDatasetFormat.md): Represents the CSV dataset format used when running a monitoring job.
- [MonitoringDatasetFormat](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringDatasetFormat.md): Represents the dataset format used when running a monitoring job.
- [MonitoringExecutionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringExecutionSummary.md): Summary of information about the last monitoring job to run.
- [MonitoringGroundTruthS3Input](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringGroundTruthS3Input.md): The ground truth labels for the dataset used for the monitoring job.
- [MonitoringInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringInput.md): The inputs for a monitoring job.
- [MonitoringJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringJobDefinition.md): Defines the monitoring job.
- [MonitoringJobDefinitionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringJobDefinitionSummary.md): Summary information about a monitoring job.
- [MonitoringJsonDatasetFormat](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringJsonDatasetFormat.md): Represents the JSON dataset format used when running a monitoring job.
- [MonitoringNetworkConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringNetworkConfig.md): The networking configuration for the monitoring job.
- [MonitoringOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringOutput.md): The output object for a monitoring job.
- [MonitoringOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringOutputConfig.md): The output configuration for monitoring jobs.
- [MonitoringParquetDatasetFormat](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringParquetDatasetFormat.md): Represents the Parquet dataset format used when running a monitoring job.
- [MonitoringResources](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringResources.md): Identifies the resources to deploy for a monitoring job.
- [MonitoringS3Output](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringS3Output.md): Information about where and how you want to store the results of a monitoring job.
- [MonitoringSchedule](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringSchedule.md): A schedule for a model monitoring job.
- [MonitoringScheduleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringScheduleConfig.md): Configures the monitoring schedule and defines the monitoring job.
- [MonitoringScheduleSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringScheduleSummary.md): Summarizes the monitoring schedule.
- [MonitoringStatisticsResource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringStatisticsResource.md): The statistics resource for a monitoring job.
- [MonitoringStoppingCondition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MonitoringStoppingCondition.md): A time limit for how long the monitoring job is allowed to run before stopping.
- [MultiModelConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_MultiModelConfig.md): Specifies additional configuration for hosting multi-model endpoints.
- [NeoVpcConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NeoVpcConfig.md): The VpcConfig configuration object that specifies the VPC that you want the compilation jobs to connect to.
- [NestedFilters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NestedFilters.md): A list of nested Filter objects.
- [NetworkConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NetworkConfig.md): 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.
- [NodeAdditionResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NodeAdditionResult.md): Information about a node that was successfully added to the cluster.
- [NotebookInstanceLifecycleConfigSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NotebookInstanceLifecycleConfigSummary.md): Provides a summary of a notebook instance lifecycle configuration.
- [NotebookInstanceLifecycleHook](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NotebookInstanceLifecycleHook.md): Contains the notebook instance lifecycle configuration script.
- [NotebookInstanceSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NotebookInstanceSummary.md): Provides summary information for an SageMaker AI notebook instance.
- [NotificationConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_NotificationConfiguration.md): Configures Amazon SNS notifications of available or expiring work items for work teams.
- [ObjectiveStatusCounters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ObjectiveStatusCounters.md): Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric.
- [OfflineStoreConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OfflineStoreConfig.md): The configuration of an OfflineStore.
- [OfflineStoreStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OfflineStoreStatus.md): The status of OfflineStore.
- [OidcConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OidcConfig.md): Use this parameter to configure your OIDC Identity Provider (IdP).
- [OidcConfigForResponse](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OidcConfigForResponse.md): Your OIDC IdP workforce configuration.
- [OidcMemberDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OidcMemberDefinition.md): A list of user groups that exist in your OIDC Identity Provider (IdP).
- [OnlineStoreConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OnlineStoreConfig.md): Use this to specify the AWS Key Management Service (KMS) Key ID, or KMSKeyId, for at rest data encryption.
- [OnlineStoreConfigUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OnlineStoreConfigUpdate.md): Updates the feature group online store configuration.
- [OnlineStoreSecurityConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OnlineStoreSecurityConfig.md): The security configuration for OnlineStore.
- [OptimizationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationConfig.md): Settings for an optimization technique that you apply with a model optimization job.
- [OptimizationJobModelSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationJobModelSource.md): The location of the source model to optimize with an optimization job.
- [OptimizationJobModelSourceS3](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationJobModelSourceS3.md): The Amazon S3 location of a source model to optimize with an optimization job.
- [OptimizationJobOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationJobOutputConfig.md): Details for where to store the optimized model that you create with the optimization job.
- [OptimizationJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationJobSummary.md): Summarizes an optimization job by providing some of its key properties.
- [OptimizationModelAccessConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationModelAccessConfig.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationOutput.md): Output values produced by an optimization job.
- [OptimizationSageMakerModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationSageMakerModel.md): A SageMaker model to use as the source or destination for an optimization job.
- [OptimizationVpcConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OptimizationVpcConfig.md): A VPC in Amazon VPC that's accessible to an optimized that you create with an optimization job.
- [OutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OutputConfig.md): Contains information about the output location for the compiled model and the target device that the model runs on.
- [OutputDataConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OutputDataConfig.md): Provides information about how to store model training results (model artifacts).
- [OutputParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OutputParameter.md): An output parameter of a pipeline step.
- [OwnershipSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OwnershipSettings.md): The collection of ownership settings for a space.
- [OwnershipSettingsSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_OwnershipSettingsSummary.md): Specifies summary information about the ownership settings.
- [ParallelismConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ParallelismConfiguration.md): Configuration that controls the parallelism of the pipeline.
- [Parameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Parameter.md): Assigns a value to a named Pipeline parameter.
- [ParameterRange](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ParameterRange.md): Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
- [ParameterRanges](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ParameterRanges.md): Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches.
- [Parent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Parent.md): The trial that a trial component is associated with and the experiment the trial is part of.
- [ParentHyperParameterTuningJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ParentHyperParameterTuningJob.md): A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
- [PartnerAppConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PartnerAppConfig.md): Configuration settings for the SageMaker Partner AI App.
- [PartnerAppMaintenanceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PartnerAppMaintenanceConfig.md): Maintenance configuration settings for the SageMaker Partner AI App.
- [PartnerAppSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PartnerAppSummary.md): A subset of information related to a SageMaker Partner AI App.
- [PendingDeploymentSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PendingDeploymentSummary.md): The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.
- [PendingProductionVariantSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PendingProductionVariantSummary.md): The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint operations.
- [Phase](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Phase.md): Defines the traffic pattern.
- [Pipeline](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Pipeline.md): A SageMaker Model Building Pipeline instance.
- [PipelineDefinitionS3Location](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineDefinitionS3Location.md): The location of the pipeline definition stored in Amazon S3.
- [PipelineExecution](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineExecution.md): An execution of a pipeline.
- [PipelineExecutionStep](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineExecutionStep.md): An execution of a step in a pipeline.
- [PipelineExecutionStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineExecutionStepMetadata.md): Metadata for a step execution.
- [PipelineExecutionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineExecutionSummary.md): A pipeline execution summary.
- [PipelineExperimentConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineExperimentConfig.md): Specifies the names of the experiment and trial created by a pipeline.
- [PipelineSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineSummary.md): A summary of a pipeline.
- [PipelineVersion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineVersion.md): The version of the pipeline.
- [PipelineVersionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PipelineVersionSummary.md): The summary of the pipeline version.
- [PlacementSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PlacementSpecification.md): Specifies how instances should be placed on a specific UltraServer.
- [PredefinedMetricSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PredefinedMetricSpecification.md): A specification for a predefined metric.
- [PrefixAwareRoutingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PrefixAwareRoutingConfig.md): The configuration for prefix-aware routing on a SageMaker real-time inference endpoint.
- [PresignedUrlAccessConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PresignedUrlAccessConfig.md): Configuration for accessing hub content through presigned URLs, including license agreement acceptance and URL validation settings.
- [PriorityClass](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PriorityClass.md): Priority class configuration.
- [ProcessingClusterConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingClusterConfig.md): Configuration for the cluster used to run a processing job.
- [ProcessingFeatureStoreOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingFeatureStoreOutput.md): Configuration for processing job outputs in Amazon SageMaker Feature Store.
- [ProcessingInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingInput.md): The inputs for a processing job.
- [ProcessingInstancePreference](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingInstancePreference.md): A candidate instance type preference in a processing InstancePreferences list.
- [ProcessingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingJob.md): An Amazon SageMaker processing job that is used to analyze data and evaluate models.
- [ProcessingJobStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingJobStepMetadata.md): Metadata for a processing job step.
- [ProcessingJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingJobSummary.md): Summary of information about a processing job.
- [ProcessingOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingOutput.md): Describes the results of a processing job.
- [ProcessingOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingOutputConfig.md): Configuration for uploading output from the processing container.
- [ProcessingResources](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingResources.md): Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job.
- [ProcessingS3Input](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingS3Input.md): Configuration for downloading input data from Amazon S3 into the processing container.
- [ProcessingS3Output](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingS3Output.md): Configuration for uploading output data to Amazon S3 from the processing container.
- [ProcessingStoppingCondition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProcessingStoppingCondition.md): Configures conditions under which the processing job should be stopped, such as how long the processing job has been running.
- [ProductionVariant](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariant.md): Identifies a model that you want to host and the resources chosen to deploy for hosting it.
- [ProductionVariantCapacityReservationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantCapacityReservationConfig.md): Settings for the capacity reservation for the compute instances that SageMaker AI reserves for an endpoint.
- [ProductionVariantCapacityReservationSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantCapacityReservationSummary.md): Details about an ML capacity reservation.
- [ProductionVariantCoreDumpConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantCoreDumpConfig.md): Specifies configuration for a core dump from the model container when the process crashes.
- [ProductionVariantManagedInstanceScaling](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantManagedInstanceScaling.md): Settings that control the range in the number of instances that the endpoint provisions as it scales up or down to accommodate traffic.
- [ProductionVariantManagedInstanceScalingScaleInPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantManagedInstanceScalingScaleInPolicy.md): Configures the scale-in behavior for managed instance scaling.
- [ProductionVariantRoutingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantRoutingConfig.md): Settings that control how the endpoint routes incoming traffic to the instances that the endpoint hosts.
- [ProductionVariantServerlessConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantServerlessConfig.md): Specifies the serverless configuration for an endpoint variant.
- [ProductionVariantServerlessUpdateConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantServerlessUpdateConfig.md): Specifies the serverless update concurrency configuration for an endpoint variant.
- [ProductionVariantStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantStatus.md): Describes the status of the production variant.
- [ProductionVariantSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProductionVariantSummary.md): Describes weight and capacities for a production variant associated with an endpoint.
- [ProfilerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProfilerConfig.md): Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.
- [ProfilerConfigForUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProfilerConfigForUpdate.md): Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics configurations, and storage paths.
- [ProfilerRuleConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProfilerRuleConfiguration.md): Configuration information for profiling rules.
- [ProfilerRuleEvaluationStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProfilerRuleEvaluationStatus.md): Information about the status of the rule evaluation.
- [Project](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Project.md): The properties of a project as returned by the Search API.
- [ProjectSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProjectSummary.md): Information about a project.
- [PropertyNameQuery](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PropertyNameQuery.md): Part of the SuggestionQuery type.
- [PropertyNameSuggestion](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PropertyNameSuggestion.md): A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.
- [ProvisioningParameter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ProvisioningParameter.md): A key value pair used when you provision a project as a service catalog product.
- [PublicWorkforceTaskPrice](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_PublicWorkforceTaskPrice.md): Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
- [QualityCheckStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_QualityCheckStepMetadata.md): Container for the metadata for a Quality check step.
- [QueryFilters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_QueryFilters.md): A set of filters to narrow the set of lineage entities connected to the StartArn(s) returned by the QueryLineage API action.
- [RealTimeInferenceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RealTimeInferenceConfig.md): The infrastructure configuration for deploying the model to a real-time inference endpoint.
- [RealTimeInferenceRecommendation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RealTimeInferenceRecommendation.md): The recommended configuration to use for Real-Time Inference.
- [RecommendationJobCompiledOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobCompiledOutputConfig.md): Provides information about the output configuration for the compiled model.
- [RecommendationJobContainerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobContainerConfig.md): Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API.
- [RecommendationJobInferenceBenchmark](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobInferenceBenchmark.md): The details for a specific benchmark from an Inference Recommender job.
- [RecommendationJobInputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobInputConfig.md): The input configuration of the recommendation job.
- [RecommendationJobOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobOutputConfig.md): Provides information about the output configuration for the compiled model.
- [RecommendationJobPayloadConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobPayloadConfig.md): The configuration for the payload for a recommendation job.
- [RecommendationJobResourceLimit](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobResourceLimit.md): Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.
- [RecommendationJobStoppingConditions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobStoppingConditions.md): Specifies conditions for stopping a job.
- [RecommendationJobVpcConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationJobVpcConfig.md): Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.
- [RecommendationMetrics](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RecommendationMetrics.md): The metrics of recommendations.
- [RedshiftDatasetDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RedshiftDatasetDefinition.md): Configuration for Redshift Dataset Definition input.
- [RegisterModelStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RegisterModelStepMetadata.md): Metadata for a register model job step.
- [RemoteDebugConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RemoteDebugConfig.md): Configuration for remote debugging for the CreateTrainingJob API.
- [RemoteDebugConfigForUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RemoteDebugConfigForUpdate.md): Configuration for remote debugging for the UpdateTrainingJob API.
- [RenderableTask](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RenderableTask.md): Contains input values for a task.
- [RenderingError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RenderingError.md): A description of an error that occurred while rendering the template.
- [RepositoryAuthConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RepositoryAuthConfig.md): Specifies an authentication configuration for the private docker registry where your model image is hosted.
- [ReservedCapacityOffering](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ReservedCapacityOffering.md): Details about a reserved capacity offering for a training plan offering.
- [ReservedCapacitySummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ReservedCapacitySummary.md): Details of a reserved capacity for the training plan.
- [ResolvedAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResolvedAttributes.md): The resolved attributes.
- [ResourceCatalog](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceCatalog.md): A resource catalog containing all of the resources of a specific resource type within a resource owner account.
- [ResourceConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceConfig.md): Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.
- [ResourceConfigForUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceConfigForUpdate.md): The ResourceConfig to update KeepAlivePeriodInSeconds.
- [ResourceLimits](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceLimits.md): Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.
- [ResourceSharingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceSharingConfig.md): Resource sharing configuration.
- [ResourceSpec](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceSpec.md): Specifies the ARN's of a SageMaker AI image and SageMaker AI image version, and the instance type that the version runs on.
- [RetentionPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RetentionPolicy.md): The retention policy for data stored on an Amazon Elastic File System volume.
- [RetryStrategy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RetryStrategy.md): The retry strategy to use when a training job fails due to an InternalServerError.
- [RoleGroupAssignment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RoleGroupAssignment.md): Defines the mapping between an in-app role and the AWS IAM Identity Center group patterns that should be assigned to that role within the SageMaker Partner AI App.
- [RollingDeploymentPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RollingDeploymentPolicy.md): The configurations that SageMaker uses when updating the AMI versions.
- [RollingUpdatePolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RollingUpdatePolicy.md): Specifies a rolling deployment strategy for updating a SageMaker endpoint.
- [RSessionAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RSessionAppSettings.md): A collection of settings that apply to an RSessionGateway app.
- [RStudioServerProAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RStudioServerProAppSettings.md): A collection of settings that configure user interaction with the RStudioServerPro app.
- [RStudioServerProDomainSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RStudioServerProDomainSettings.md): A collection of settings that configure the RStudioServerPro Domain-level app.
- [RStudioServerProDomainSettingsForUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_RStudioServerProDomainSettingsForUpdate.md): A collection of settings that update the current configuration for the RStudioServerPro Domain-level app.
- [S3DataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_S3DataSource.md): Describes the S3 data source.
- [S3FileSystem](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_S3FileSystem.md): A custom file system in Amazon S3.
- [S3FileSystemConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_S3FileSystemConfig.md): Configuration for the custom Amazon S3 file system.
- [S3ModelDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_S3ModelDataSource.md): Specifies the S3 location of ML model data to deploy.
- [S3Presign](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_S3Presign.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_S3StorageConfig.md): The Amazon Simple Storage (Amazon S3) location and security configuration for OfflineStore.
- [ScalingPolicy](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ScalingPolicy.md): An object containing a recommended scaling policy.
- [ScalingPolicyMetric](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ScalingPolicyMetric.md): The metric for a scaling policy.
- [ScalingPolicyObjective](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ScalingPolicyObjective.md): An object where you specify the anticipated traffic pattern for an endpoint.
- [ScheduleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ScheduleConfig.md): Configuration details about the monitoring schedule.
- [ScheduledUpdateConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ScheduledUpdateConfig.md): The configuration object of the schedule that SageMaker follows when updating the AMI.
- [SchedulerConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SchedulerConfig.md): Cluster policy configuration.
- [SearchExpression](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SearchExpression.md): A multi-expression that searches for the specified resource or resources in a search.
- [SearchRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SearchRecord.md): A single resource returned as part of the Search API response.
- [SecondaryStatusTransition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SecondaryStatusTransition.md): An array element of SecondaryStatusTransitions for DescribeTrainingJob.
- [SelectedStep](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SelectedStep.md): A step selected to run in selective execution mode.
- [SelectiveExecutionConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SelectiveExecutionConfig.md): The selective execution configuration applied to the pipeline run.
- [SelectiveExecutionResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SelectiveExecutionResult.md): The ARN from an execution of the current pipeline.
- [ServerlessJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ServerlessJobConfig.md): The configuration for the serverless training job.
- [ServiceCatalogProvisionedProductDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ServiceCatalogProvisionedProductDetails.md): Details of a provisioned service catalog product.
- [ServiceCatalogProvisioningDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ServiceCatalogProvisioningDetails.md): Details that you specify to provision a service catalog product.
- [ServiceCatalogProvisioningUpdateDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ServiceCatalogProvisioningUpdateDetails.md): Details that you specify to provision a service catalog product.
- [SessionChainingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SessionChainingConfig.md): Contains information about attribute-based access control (ABAC) for a training job.
- [ShadowModeConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ShadowModeConfig.md): 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](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ShadowModelVariantConfig.md): The name and sampling percentage of a shadow variant.
- [SharingSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SharingSettings.md): Specifies options for sharing Amazon SageMaker AI Studio notebooks.
- [ShuffleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ShuffleConfig.md): A configuration for a shuffle option for input data in a channel.
- [SourceAlgorithm](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SourceAlgorithm.md): Specifies an algorithm that was used to create the model package.
- [SourceAlgorithmSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SourceAlgorithmSpecification.md): A list of algorithms that were used to create a model package.
- [SourceIpConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SourceIpConfig.md): A list of IP address ranges (CIDRs).
- [SpaceAppLifecycleManagement](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceAppLifecycleManagement.md): Settings that are used to configure and manage the lifecycle of Amazon SageMaker Studio applications in a space.
- [SpaceCodeEditorAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceCodeEditorAppSettings.md): The application settings for a Code Editor space.
- [SpaceDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceDetails.md): The space's details.
- [SpaceIdleSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceIdleSettings.md): Settings related to idle shutdown of Studio applications in a space.
- [SpaceJupyterLabAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceJupyterLabAppSettings.md): The settings for the JupyterLab application within a space.
- [SpaceSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceSettings.md): A collection of space settings.
- [SpaceSettingsSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceSettingsSummary.md): Specifies summary information about the space settings.
- [SpaceSharingSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceSharingSettings.md): A collection of space sharing settings.
- [SpaceSharingSettingsSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceSharingSettingsSummary.md): Specifies summary information about the space sharing settings.
- [SpaceStorageSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SpaceStorageSettings.md): The storage settings for a space.
- [Stairs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Stairs.md): Defines the stairs traffic pattern for an Inference Recommender load test.
- [StoppingCondition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StoppingCondition.md): Specifies a limit to how long a job can run.
- [StudioLifecycleConfigDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StudioLifecycleConfigDetails.md): Details of the Amazon SageMaker AI Studio Lifecycle Configuration.
- [StudioWebPortalSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StudioWebPortalSettings.md): Studio settings.
- [SubscribedWorkteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SubscribedWorkteam.md): Describes a work team of a vendor that does the labelling job.
- [SuggestionQuery](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_SuggestionQuery.md): Specified in the GetSearchSuggestions request.
- [TabularJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TabularJobConfig.md): The collection of settings used by an AutoML job V2 for the tabular problem type.
- [TabularResolvedAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TabularResolvedAttributes.md): The resolved attributes specific to the tabular problem type.
- [Tag](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Tag.md): A tag object that consists of a key and an optional value, used to manage metadata for SageMaker AWS resources.
- [TargetPlatform](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TargetPlatform.md): Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators.
- [TargetTrackingScalingPolicyConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TargetTrackingScalingPolicyConfiguration.md): A target tracking scaling policy.
- [TemplateProviderDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TemplateProviderDetail.md): Details about a template provider configuration and associated provisioning information.
- [TensorBoardAppSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TensorBoardAppSettings.md): The TensorBoard app settings.
- [TensorBoardOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TensorBoardOutputConfig.md): Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.
- [TextClassificationJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TextClassificationJobConfig.md): The collection of settings used by an AutoML job V2 for the text classification problem type.
- [TextGenerationJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TextGenerationJobConfig.md): The collection of settings used by an AutoML job V2 for the text generation problem type.
- [TextGenerationResolvedAttributes](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TextGenerationResolvedAttributes.md): The resolved attributes specific to the text generation problem type.
- [ThroughputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ThroughputConfig.md): Used to set feature group throughput configuration.
- [ThroughputConfigDescription](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ThroughputConfigDescription.md): Active throughput configuration of the feature group.
- [ThroughputConfigUpdate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ThroughputConfigUpdate.md): The new throughput configuration for the feature group.
- [TimeSeriesConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TimeSeriesConfig.md): The collection of components that defines the time-series.
- [TimeSeriesForecastingJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TimeSeriesForecastingJobConfig.md): The collection of settings used by an AutoML job V2 for the time-series forecasting problem type.
- [TimeSeriesForecastingSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TimeSeriesForecastingSettings.md): Time series forecast settings for the SageMaker Canvas application.
- [TimeSeriesTransformations](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TimeSeriesTransformations.md): Transformations allowed on the dataset.
- [TotalHits](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TotalHits.md): Represents the total number of matching results and indicates how accurate that count is.
- [TrackingServerSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrackingServerSummary.md): The summary of the tracking server to list.
- [TrafficPattern](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrafficPattern.md): Defines the traffic pattern of the load test.
- [TrafficRoutingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrafficRoutingConfig.md): Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new fleet.
- [TrainingImageConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingImageConfig.md): The configuration to use an image from a private Docker registry for a training job.
- [TrainingJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJob.md): Contains information about a training job.
- [TrainingJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobDefinition.md): Defines the input needed to run a training job using the algorithm.
- [TrainingJobStatusCounters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobStatusCounters.md): The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
- [TrainingJobStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobStepMetadata.md): Metadata for a training job step.
- [TrainingJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobSummary.md): Provides summary information about a training job.
- [TrainingPlanExtension](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingPlanExtension.md): Details about an extension to a training plan, including the offering ID, dates, status, and cost information.
- [TrainingPlanExtensionOffering](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingPlanExtensionOffering.md): Details about an available extension offering for a training plan.
- [TrainingPlanFilter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingPlanFilter.md): A filter to apply when listing or searching for training plans.
- [TrainingPlanOffering](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingPlanOffering.md): Details about a training plan offering.
- [TrainingPlanSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingPlanSummary.md): Details of the training plan.
- [TrainingProgressInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingProgressInfo.md): The serverless training job progress information.
- [TrainingRepositoryAuthConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingRepositoryAuthConfig.md): An object containing authentication information for a private Docker registry.
- [TrainingSessionDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingSessionDetail.md): Contains detailed information about a training session.
- [TrainingSessionModelConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingSessionModelConfig.md): The configuration for the base model used in a training session.
- [TrainingSessionOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingSessionOutputConfig.md): The output configuration for a training session, including the Amazon S3 location for checkpoints and model artifacts, and optional encryption settings.
- [TrainingSessionS3Location](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingSessionS3Location.md): Specifies the Amazon S3 path and optional encryption settings for training session output data, including checkpoints, model artifacts, and invocation results.
- [TrainingSessionSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingSessionSummary.md): Contains summary information about a training session.
- [TrainingSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingSpecification.md): Defines how the algorithm is used for a training job.
- [TransformDataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformDataSource.md): Describes the location of the channel data.
- [TransformInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformInput.md): Describes the input source of a transform job and the way the transform job consumes it.
- [TransformJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformJob.md): A batch transform job.
- [TransformJobDefinition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformJobDefinition.md): Defines the input needed to run a transform job using the inference specification specified in the algorithm.
- [TransformJobStepMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformJobStepMetadata.md): Metadata for a transform job step.
- [TransformJobSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformJobSummary.md): Provides a summary of a transform job.
- [TransformOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformOutput.md): Describes the results of a transform job.
- [TransformResources](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformResources.md): Describes the resources, including ML instance types and ML instance count, to use for transform job.
- [TransformS3DataSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TransformS3DataSource.md): Describes the S3 data source.
- [Trial](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Trial.md): The properties of a trial as returned by the Search API.
- [TrialComponent](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponent.md): The properties of a trial component as returned by the Search API.
- [TrialComponentArtifact](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentArtifact.md): Represents an input or output artifact of a trial component.
- [TrialComponentMetricSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentMetricSummary.md): A summary of the metrics of a trial component.
- [TrialComponentParameterValue](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentParameterValue.md): The value of a hyperparameter.
- [TrialComponentSimpleSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentSimpleSummary.md): A short summary of a trial component.
- [TrialComponentSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentSource.md): The Amazon Resource Name (ARN) and job type of the source of a trial component.
- [TrialComponentSourceDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentSourceDetail.md): Detailed information about the source of a trial component.
- [TrialComponentStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentStatus.md): The status of the trial component.
- [TrialComponentSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialComponentSummary.md): A summary of the properties of a trial component.
- [TrialSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialSource.md): The source of the trial.
- [TrialSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrialSummary.md): A summary of the properties of a trial.
- [TrustedIdentityPropagationSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrustedIdentityPropagationSettings.md): The Trusted Identity Propagation (TIP) settings for the SageMaker domain.
- [TtlDuration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TtlDuration.md): Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration.
- [TuningJobCompletionCriteria](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TuningJobCompletionCriteria.md): The job completion criteria.
- [TuningJobStepMetaData](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TuningJobStepMetaData.md): Metadata for a tuning step.
- [UiConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UiConfig.md): Provided configuration information for the worker UI for a labeling job.
- [UiTemplate](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UiTemplate.md): The Liquid template for the worker user interface.
- [UiTemplateInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UiTemplateInfo.md): Container for user interface template information.
- [UltraServer](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UltraServer.md): Represents a high-performance compute server used for distributed training in SageMaker AI.
- [UltraServerInfo](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UltraServerInfo.md): Contains information about the UltraServer object.
- [UltraServerSummary](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UltraServerSummary.md): A summary of UltraServer resources and their current status.
- [UnifiedStudioSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UnifiedStudioSettings.md): The settings that apply to an Amazon SageMaker AI domain when you use it in Amazon SageMaker Unified Studio.
- [UpdateClusterSoftwareInstanceGroupSpecification](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateClusterSoftwareInstanceGroupSpecification.md): The configuration that describes specifications of the instance groups to update.
- [UpdateTemplateProvider](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateTemplateProvider.md): Contains configuration details for updating an existing template provider in the project.
- [USD](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_USD.md): Represents an amount of money in United States dollars.
- [UserContext](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UserContext.md): Information about the user who created or modified a SageMaker resource.
- [UserProfileDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UserProfileDetails.md): The user profile details.
- [UserSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UserSettings.md): A collection of settings that apply to users in a domain.
- [VariantProperty](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VariantProperty.md): Specifies a production variant property type for an Endpoint.
- [VectorConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VectorConfig.md): Configuration for your vector collection type.
- [Vertex](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Vertex.md): A lineage entity connected to the starting entity(ies).
- [VisibilityConditions](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VisibilityConditions.md): The list of key-value pairs used to filter your search results.
- [VpcConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_VpcConfig.md): Specifies an Amazon Virtual Private Cloud (VPC) that your SageMaker jobs, hosted models, and compute resources have access to.
- [WarmPoolStatus](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_WarmPoolStatus.md): Status and billing information about the warm pool.
- [WorkerAccessConfiguration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_WorkerAccessConfiguration.md): Use this optional parameter to constrain access to an Amazon S3 resource based on the IP address using supported IAM global condition keys.
- [Workforce](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Workforce.md): A single private workforce, which is automatically created when you create your first private work team.
- [WorkforceVpcConfigRequest](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_WorkforceVpcConfigRequest.md): The VPC object you use to create or update a workforce.
- [WorkforceVpcConfigResponse](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_WorkforceVpcConfigResponse.md): A VpcConfig object that specifies the VPC that you want your workforce to connect to.
- [WorkloadSpec](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_WorkloadSpec.md): The workload specification for benchmark tool configuration.
- [WorkspaceSettings](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_WorkspaceSettings.md): The workspace settings for the SageMaker Canvas application.
- [Workteam](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_Workteam.md): Provides details about a labeling work team.

## [Amazon SageMaker Runtime](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_Runtime.md)

The Amazon SageMaker AI runtime API.

### Actions

- [InvokeEndpoint](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpoint.md): After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.
- [InvokeEndpointAsync](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpointAsync.md): After you deploy a model into production using Amazon SageMaker AI hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.
- [InvokeEndpointWithResponseStream](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_InvokeEndpointWithResponseStream.md): Invokes a model at the specified endpoint to return the inference response as a stream.

### Data Types

- [PayloadPart](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_PayloadPart.md): A wrapper for pieces of the payload that's returned in response to a streaming inference request.
- [ResponseStream](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_runtime_ResponseStream.md): A stream of payload parts.

## [Amazon Sagemaker Edge Manager](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_Sagemaker_Edge_Manager.md)

SageMaker Edge Manager dataplane service for communicating with active agents.

### Actions

- [GetDeployments](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_GetDeployments.md): Use to get the active deployments from a device.
- [GetDeviceRegistration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_GetDeviceRegistration.md): Use to check if a device is registered with SageMaker Edge Manager.
- [SendHeartbeat](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_SendHeartbeat.md): Use to get the current status of devices registered on SageMaker Edge Manager.

### Data Types

- [Checksum](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_Checksum.md): Information about the checksum of a model deployed on a device.
- [Definition](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_Definition.md): Information about deployment details based on the deployment type.
- [DeploymentModel](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_DeploymentModel.md): Information about a model deployed on an edge device that is registered with SageMaker Edge Manager.
- [DeploymentResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_DeploymentResult.md): Information about the result of a deployment on an edge device that is registered with SageMaker Edge Manager.
- [EdgeDeployment](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_EdgeDeployment.md): Information about a deployment on an edge device that is registered with SageMaker Edge Manager.
- [EdgeMetric](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_EdgeMetric.md): Information required for edge device metrics.
- [Model](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_edge_Model.md): Information about a model deployed on an edge device that is registered with SageMaker Edge Manager.

## [Amazon SageMaker Feature Store Runtime](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_Feature_Store_Runtime.md)

Contains all data plane API operations and data types for the Amazon SageMaker Feature Store. Use this API to put, delete, and retrieve (get) features from a feature store.

Use the following operations to configure your `OnlineStore`and `OfflineStore`features, and to create and manage feature groups:

- [CreateFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateFeatureGroup.html)
- [DeleteFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DeleteFeatureGroup.html)
- [DescribeFeatureGroup](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_DescribeFeatureGroup.html)
- [ListFeatureGroups](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ListFeatureGroups.html)

### Actions

- [BatchGetRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchGetRecord.md): Retrieves a batch of Records from a FeatureGroup.
- [BatchWriteRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchWriteRecord.md): Writes a batch of Records to one or more FeatureGroups.
- [DeleteRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_DeleteRecord.md): Deletes a Record from a FeatureGroup in the OnlineStore.
- [GetRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_GetRecord.md): Use for OnlineStore serving from a FeatureStore.
- [ListRecords](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_ListRecords.md): Lists the RecordIdentifier values of all records stored in a FeatureGroup's OnlineStore.
- [PutRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_PutRecord.md): The PutRecord API is used to ingest a list of Records into your feature group.
- [UpdateRecord](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_UpdateRecord.md): Updates one or more feature values for an existing record in the specified feature group.

### Data Types

- [BatchGetRecordError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchGetRecordError.md): The error that has occurred when attempting to retrieve a batch of Records.
- [BatchGetRecordIdentifier](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchGetRecordIdentifier.md): The identifier that identifies the batch of Records you are retrieving in a batch.
- [BatchGetRecordResultDetail](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchGetRecordResultDetail.md): The output of records that have been retrieved in a batch.
- [BatchWriteRecordEntry](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchWriteRecordEntry.md): An entry to write as part of a BatchWriteRecord request.
- [BatchWriteRecordError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_BatchWriteRecordError.md): The error that has occurred when attempting to write a record in a batch.
- [FeatureValue](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_FeatureValue.md): The value associated with a feature.
- [TtlDuration](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_feature_store_TtlDuration.md): Time to live duration, where the record is hard deleted after the expiration time is reached; ExpiresAt = EventTime + TtlDuration.

## [Amazon SageMaker geospatial capabilities](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_geospatial_capabilities.md)

Provides APIs for creating and managing SageMaker geospatial resources.

### Actions

- [DeleteEarthObservationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_DeleteEarthObservationJob.md): Use this operation to delete an Earth Observation job.
- [DeleteVectorEnrichmentJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_DeleteVectorEnrichmentJob.md): Use this operation to delete a Vector Enrichment job.
- [ExportEarthObservationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ExportEarthObservationJob.md): Use this operation to export results of an Earth Observation job and optionally source images used as input to the EOJ to an Amazon S3 location.
- [ExportVectorEnrichmentJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ExportVectorEnrichmentJob.md): Use this operation to copy results of a Vector Enrichment job to an Amazon S3 location.
- [GetEarthObservationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_GetEarthObservationJob.md): Get the details for a previously initiated Earth Observation job.
- [GetRasterDataCollection](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_GetRasterDataCollection.md): Use this operation to get details of a specific raster data collection.
- [GetTile](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_GetTile.md): Gets a web mercator tile for the given Earth Observation job.
- [GetVectorEnrichmentJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_GetVectorEnrichmentJob.md): Retrieves details of a Vector Enrichment Job for a given job Amazon Resource Name (ARN).
- [ListEarthObservationJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListEarthObservationJobs.md): Use this operation to get a list of the Earth Observation jobs associated with the calling AWS account.
- [ListRasterDataCollections](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListRasterDataCollections.md): Use this operation to get raster data collections.
- [ListTagsForResource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListTagsForResource.md): Lists the tags attached to the resource.
- [ListVectorEnrichmentJobs](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListVectorEnrichmentJobs.md): Retrieves a list of vector enrichment jobs.
- [SearchRasterDataCollection](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_SearchRasterDataCollection.md): Allows you run image query on a specific raster data collection to get a list of the satellite imagery matching the selected filters.
- [StartEarthObservationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_StartEarthObservationJob.md): Use this operation to create an Earth observation job.
- [StartVectorEnrichmentJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_StartVectorEnrichmentJob.md): Creates a Vector Enrichment job for the supplied job type.
- [StopEarthObservationJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_StopEarthObservationJob.md): Use this operation to stop an existing earth observation job.
- [StopVectorEnrichmentJob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_StopVectorEnrichmentJob.md): Stops the Vector Enrichment job for a given job ARN.
- [TagResource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_TagResource.md): The resource you want to tag.
- [UntagResource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_UntagResource.md): The resource you want to untag.

### Data Types

- [AreaOfInterest](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_AreaOfInterest.md): The geographic extent of the Earth Observation job.
- [AreaOfInterestGeometry](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_AreaOfInterestGeometry.md): A GeoJSON object representing the geographic extent in the coordinate space.
- [AssetValue](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_AssetValue.md): The structure containing the asset properties.
- [BandMathConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_BandMathConfigInput.md): Input structure for the BandMath operation type.
- [CloudMaskingConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_CloudMaskingConfigInput.md): Input structure for CloudMasking operation type.
- [CloudRemovalConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_CloudRemovalConfigInput.md): Input structure for Cloud Removal Operation type
- [CustomIndicesInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_CustomIndicesInput.md): Input object defining the custom BandMath indices to compute.
- [EarthObservationJobErrorDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_EarthObservationJobErrorDetails.md): The structure representing the errors in an EarthObservationJob.
- [EoCloudCoverInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_EoCloudCoverInput.md): The structure representing the EoCloudCover filter.
- [ExportErrorDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ExportErrorDetails.md): The structure for returning the export error details in a GetEarthObservationJob.
- [ExportErrorDetailsOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ExportErrorDetailsOutput.md): The structure representing the errors in an export EarthObservationJob operation.
- [ExportS3DataInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ExportS3DataInput.md): The structure containing the Amazon S3 path to export the Earth Observation job output.
- [ExportVectorEnrichmentJobOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ExportVectorEnrichmentJobOutputConfig.md): An object containing information about the output file.
- [Filter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_Filter.md): The structure representing the filters supported by a RasterDataCollection.
- [Geometry](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_Geometry.md): The structure representing a Geometry in terms of Type and Coordinates as per GeoJson spec.
- [GeoMosaicConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_GeoMosaicConfigInput.md): Input configuration information for the geomosaic.
- [InputConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_InputConfigInput.md): Input configuration information.
- [InputConfigOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_InputConfigOutput.md): The InputConfig for an EarthObservationJob response.
- [ItemSource](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ItemSource.md): The structure representing the items in the response for SearchRasterDataCollection.
- [JobConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_JobConfigInput.md): The input structure for the JobConfig in an EarthObservationJob.
- [LandCoverSegmentationConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_LandCoverSegmentationConfigInput.md): The input structure for Land Cover Operation type.
- [LandsatCloudCoverLandInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_LandsatCloudCoverLandInput.md): The structure representing Land Cloud Cover property for Landsat data collection.
- [ListEarthObservationJobOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListEarthObservationJobOutputConfig.md): An object containing information about the output file.
- [ListVectorEnrichmentJobOutputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ListVectorEnrichmentJobOutputConfig.md): An object containing information about the output file.
- [MapMatchingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_MapMatchingConfig.md): The input structure for Map Matching operation type.
- [MultiPolygonGeometryInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_MultiPolygonGeometryInput.md): The structure representing Polygon Geometry based on the GeoJson spec.
- [Operation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_Operation.md): Represents an arithmetic operation to compute spectral index.
- [OutputBand](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_OutputBand.md): A single EarthObservationJob output band.
- [OutputConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_OutputConfigInput.md): The response structure for an OutputConfig returned by an ExportEarthObservationJob.
- [OutputResolutionResamplingInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_OutputResolutionResamplingInput.md): OutputResolution Configuration indicating the target resolution for the output of Resampling operation.
- [OutputResolutionStackInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_OutputResolutionStackInput.md): The input structure representing Output Resolution for Stacking Operation.
- [PlatformInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_PlatformInput.md): The input structure for specifying Platform.
- [PolygonGeometryInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_PolygonGeometryInput.md): The structure representing Polygon Geometry based on the GeoJson spec.
- [Properties](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_Properties.md): Properties associated with the Item.
- [Property](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_Property.md): Represents a single searchable property to search on.
- [PropertyFilter](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_PropertyFilter.md): The structure representing a single PropertyFilter.
- [PropertyFilters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_PropertyFilters.md): A list of PropertyFilter objects.
- [RasterDataCollectionMetadata](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_RasterDataCollectionMetadata.md): Response object containing details for a specific RasterDataCollection.
- [RasterDataCollectionQueryInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_RasterDataCollectionQueryInput.md): The input structure for Raster Data Collection Query containing the Area of Interest, TimeRange Filters, and Property Filters.
- [RasterDataCollectionQueryOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_RasterDataCollectionQueryOutput.md): The output structure contains the Raster Data Collection Query input along with some additional metadata.
- [RasterDataCollectionQueryWithBandFilterInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_RasterDataCollectionQueryWithBandFilterInput.md): This is a RasterDataCollectionQueryInput containing AreaOfInterest, Time Range filter and Property filters.
- [ResamplingConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ResamplingConfigInput.md): The structure representing input for resampling operation.
- [ReverseGeocodingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ReverseGeocodingConfig.md): The input structure for Reverse Geocoding operation type.
- [StackConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_StackConfigInput.md): The input structure for Stacking Operation.
- [TemporalStatisticsConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_TemporalStatisticsConfigInput.md): The structure representing the configuration for Temporal Statistics operation.
- [TimeRangeFilterInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_TimeRangeFilterInput.md): The input for the time-range filter.
- [TimeRangeFilterOutput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_TimeRangeFilterOutput.md): The output structure of the time range filter.
- [UserDefined](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_UserDefined.md): The output resolution (in target georeferenced units) of the result of the operation
- [VectorEnrichmentJobConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_VectorEnrichmentJobConfig.md): It contains configs such as ReverseGeocodingConfig and MapMatchingConfig.
- [VectorEnrichmentJobDataSourceConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_VectorEnrichmentJobDataSourceConfigInput.md): The input structure for the data source that represents the storage type of the input data objects.
- [VectorEnrichmentJobErrorDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_VectorEnrichmentJobErrorDetails.md): VectorEnrichmentJob error details in response from GetVectorEnrichmentJob.
- [VectorEnrichmentJobExportErrorDetails](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_VectorEnrichmentJobExportErrorDetails.md): VectorEnrichmentJob export error details in response from GetVectorEnrichmentJob.
- [VectorEnrichmentJobInputConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_VectorEnrichmentJobInputConfig.md): The input structure for the InputConfig in a VectorEnrichmentJob.
- [VectorEnrichmentJobS3Data](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_VectorEnrichmentJobS3Data.md): The Amazon S3 data for the Vector Enrichment job.
- [ViewOffNadirInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ViewOffNadirInput.md): The input structure for specifying ViewOffNadir property filter.
- [ViewSunAzimuthInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ViewSunAzimuthInput.md): The input structure for specifying ViewSunAzimuth property filter.
- [ViewSunElevationInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ViewSunElevationInput.md): The input structure for specifying ViewSunElevation angle property filter.
- [ZonalStatisticsConfigInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_geospatial_ZonalStatisticsConfigInput.md): The structure representing input configuration of ZonalStatistics operation.

## [Amazon SageMaker Metrics Service](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_Metrics_Service.md)

Contains all data plane API operations and data types for Amazon SageMaker Metrics. Use these APIs to put and retrieve (get) features related to your training run.

- [BatchPutMetrics](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_BatchPutMetrics.html)

### Actions

- [BatchGetMetrics](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_BatchGetMetrics.md): Used to retrieve training metrics from SageMaker.
- [BatchPutMetrics](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_BatchPutMetrics.md): Used to ingest training metrics into SageMaker.

### Data Types

- [BatchPutMetricsError](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_BatchPutMetricsError.md): An error that occured when putting the metric data.
- [MetricQuery](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_MetricQuery.md): Specifies a query to retrieve training metrics from SageMaker.
- [MetricQueryResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_MetricQueryResult.md): The result of a query to retrieve training metrics from SageMaker.
- [RawMetricData](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_metrics_RawMetricData.md): The raw metric data to associate with the resource.

## [Amazon SageMaker Job Runtime Service](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_Job_Runtime_Service.md)

Amazon SageMaker Job Runtime provides APIs that enable communication between your agent and the policy model during multi-turn reinforcement learning jobs. These APIs support inference requests to the policy model, rollout lifecycle management, and reward submission.

### Actions

- [CompleteRollout](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_job_runtime_CompleteRollout.md): Marks a rollout as complete, indicating that no further turns will be appended to the trajectory.
- [Sample](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_job_runtime_Sample.md): Sends an inference request to the model during a job execution.
- [SampleWithResponseStream](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_job_runtime_SampleWithResponseStream.md): Sends a streaming inference request to the model during a job execution.
- [UpdateReward](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_job_runtime_UpdateReward.md): Updates the reward values for a trajectory and transitions it to reward-received status, signaling that it is eligible for processing.

## [Amazon SageMaker Training Session Runtime](https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome_Amazon_SageMaker_Training_Session_Runtime.md)

Amazon SageMaker Training Session Runtime provides APIs for executing training operations and sampling operations against a running training session. Use these APIs to submit asynchronous training steps (such as forward-backward passes, optimizer steps, and checkpoint saves) and to generate text samples from the model being trained.

### Actions

- [ExecuteSamplingOperation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ExecuteSamplingOperation.md): Submits an asynchronous sampling operation to generate text or compute log-probabilities from the model associated with the specified training session.
- [ExecuteTrainingOperation](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ExecuteTrainingOperation.md): Submits an asynchronous training operation to the specified training session.
- [GetSamplingOperationResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_GetSamplingOperationResult.md): Retrieves the current status and result of a previously submitted sampling operation.
- [GetTrainingOperationResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_GetTrainingOperationResult.md): Retrieves the current status and result of a previously submitted training operation.
- [SampleTrainingSession](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleTrainingSession.md): Sends an inference request to the model associated with the specified training session and returns the response synchronously.
- [SampleTrainingSessionWithResponseStream](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleTrainingSessionWithResponseStream.md): Streams inference responses from the model associated with the specified training session.

### Data Types

- [AdamParamsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_AdamParamsConfig.md): The Adam optimizer hyperparameters used during an optimizer step.
- [ComputeLogprobsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ComputeLogprobsConfig.md): The configuration for computing log-probabilities of prompt tokens without generating new text.
- [ComputeLogprobsResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ComputeLogprobsResult.md): The result of a compute-logprobs operation.
- [Datum](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_Datum.md): A single training datum containing model input and optional loss function inputs.
- [EncodedTextChunk](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_EncodedTextChunk.md): A chunk of pre-tokenized text represented as a list of token IDs.
- [ForwardBackwardConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ForwardBackwardConfig.md): The configuration for a forward and backward pass through the model.
- [ForwardBackwardResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ForwardBackwardResult.md): The result of a forward and backward pass through the model, including computed gradients.
- [ForwardConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ForwardConfig.md): The configuration for a forward-only pass through the model.
- [ForwardResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ForwardResult.md): The result of a forward-only pass through the model.
- [LoadStateConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_LoadStateConfig.md): The configuration for loading training state from a previously saved checkpoint.
- [LoadStateResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_LoadStateResult.md): The result of loading training state.
- [LoadWeightsForSamplingConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_LoadWeightsForSamplingConfig.md): The configuration for loading model weights for inference and sampling without restoring optimizer state.
- [LoadWeightsForSamplingResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_LoadWeightsForSamplingResult.md): The result of loading weights for sampling.
- [ModelInput](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_ModelInput.md): The tokenized model input composed of ordered encoded text chunks.
- [OperationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_OperationConfig.md): The configuration for a training operation.
- [OperationResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_OperationResult.md): The result of a completed training operation.
- [OptimizerStepConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_OptimizerStepConfig.md): The configuration for an optimizer step that updates model weights using gradients accumulated from previous forward-backward passes.
- [OptimizerStepResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_OptimizerStepResult.md): The result of an optimizer step.
- [SampleConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleConfig.md): The configuration for generating text samples from the model.
- [SampledSequence](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampledSequence.md): A single generated sequence from the model.
- [SampleOperationConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleOperationConfig.md): The configuration for a sampling operation.
- [SampleOperationResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleOperationResult.md): The result of a completed sampling operation.
- [SampleResponse](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleResponse.md): The response containing generated samples and optional log-probabilities.
- [SampleTokenUsage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SampleTokenUsage.md): The token usage statistics for a sample generation.
- [SamplingParams](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SamplingParams.md): The parameters controlling the text generation sampling strategy.
- [SaveStateConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SaveStateConfig.md): The configuration for saving full training state, including model weights and optimizer state.
- [SaveStateResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SaveStateResult.md): The result of saving full training state.
- [SaveWeightsConfig](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SaveWeightsConfig.md): The configuration for saving model weights as a checkpoint.
- [SaveWeightsResult](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_SaveWeightsResult.md): The result of saving model weights.
- [TensorData](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_TensorData.md): A tensor with data, data type, and shape metadata.
- [TokenLogprob](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_TokenLogprob.md): The log-probability for a single token.
- [TrainingTokenUsage](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_training_session_runtime_TrainingTokenUsage.md): The token usage statistics for training operations.

## Common

- [Common Parameters](https://docs.aws.amazon.com/sagemaker/latest/APIReference/CommonParameters.md)
- [Common Error Types](https://docs.aws.amazon.com/sagemaker/latest/APIReference/CommonErrors.md)

## Full content

The entire guide is also available as a single markdown file, useful for feeding the full guide to an LLM in one pass:

- [Complete guide (single file)](https://docs.aws.amazon.com/sagemaker/latest/APIReference/full.md)