aws sagemaker
Provides APIs for creating and managing SageMaker resources. AWS CLI reference
414 commands Its page in the AWS CLI reference
Commands
add-associationCreates an association between the source and the destination.add-tagsAdds or overwrites one or more tags for the specified SageMaker resource.associate-trial-componentAssociates a trial component with a trial.attach-cluster-node-network-interfaceAttaches an elastic network interface (ENI) to a node in a HyperPod cluster.attach-cluster-node-volumeAttaches your Amazon Elastic Block Store (Amazon EBS) volume to a node in your EKS orchestrated HyperPod cluster.batch-add-cluster-nodesAdds nodes to a HyperPod cluster by incrementing the target count for one or more instance groups.batch-delete-cluster-nodesDeletes specific nodes within a SageMaker HyperPod cluster.batch-describe-model-packageThis action batch describes a list of versioned model packagesbatch-reboot-cluster-nodesReboots specific nodes within a SageMaker HyperPod cluster using a soft recovery mechanism.batch-replace-cluster-nodesReplaces specific nodes within a SageMaker HyperPod cluster with new hardware.create-actionCreates an action.create-ai-benchmark-jobCreates a benchmark job that runs performance benchmarks against inference infrastructure using a predefined AI workload configuration.create-ai-recommendation-jobCreates a recommendation job that generates intelligent optimization recommendations for generative AI inference deployments.create-ai-workload-configCreates 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.create-algorithmCreate a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace.create-appCreates a running app for the specified UserProfile.create-app-image-configCreates a configuration for running a SageMaker AI image as a KernelGateway app.create-artifactCreates an artifact.create-auto-ml-jobCreates an Autopilot job also referred to as Autopilot experiment or AutoML job.create-auto-ml-job-v2Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2.create-clusterCreates an Amazon SageMaker HyperPod cluster.create-cluster-extensionInstalls an extension, such as sagemaker-observability, on a SageMaker HyperPod cluster orchestrated by Slurm.create-cluster-scheduler-configCreate cluster policy configuration.create-code-repositoryCreates a Git repository as a resource in your SageMaker AI account.create-compilation-jobStarts a model compilation job.create-compute-quotaCreate compute allocation definition.create-contextCreates a context.create-data-quality-job-definitionCreates a definition for a job that monitors data quality and drift.create-device-fleetCreates a device fleet.create-domainCreates a Domain.create-edge-deployment-planCreates an edge deployment plan, consisting of multiple stages.create-edge-deployment-stageCreates a new stage in an existing edge deployment plan.create-edge-packaging-jobStarts a SageMaker Edge Manager model packaging job.create-endpointCreates an endpoint using the endpoint configuration specified in the request.create-endpoint-configCreates an endpoint configuration that SageMaker hosting services uses to deploy models.create-experimentCreates a SageMaker experiment.create-feature-groupCreate a new FeatureGroup.create-flow-definitionCreates a flow definition.create-hubCreate a hub.create-hub-content-presigned-urlsCreates presigned URLs for accessing hub content artifacts.create-hub-content-referenceCreate a hub content reference in order to add a model in the JumpStart public hub to a private hub.create-human-task-uiDefines the settings you will use for the human review workflow user interface.create-hyper-parameter-tuning-jobStarts a hyperparameter tuning job.create-imageCreates a custom SageMaker AI image.create-image-versionCreates a version of the SageMaker AI image specified by ImageName.create-inference-componentCreates an inference component, which is a SageMaker AI hosting object that you can use to deploy a model to an endpoint.create-inference-experimentCreates an inference experiment using the configurations specified in the request.create-inference-recommendations-jobStarts a recommendation job.create-jobCreates a model customization job in Amazon SageMaker.create-labeling-jobCreates a job that uses workers to label the data objects in your input dataset.create-mlflow-appCreates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.create-mlflow-tracking-serverCreates an MLflow Tracking Server using a general purpose Amazon S3 bucket as the artifact store.create-modelCreates a model in SageMaker.create-model-bias-job-definitionCreates the definition for a model bias job.create-model-cardCreates an Amazon SageMaker Model Card.create-model-card-export-jobCreates an Amazon SageMaker Model Card export job.create-model-explainability-job-definitionCreates the definition for a model explainability job.create-model-packageCreates a model package that you can use to create SageMaker models or list on Amazon Web Services Marketplace, or a versioned model that is part of a model group.create-model-package-groupCreates a model group.create-model-quality-job-definitionCreates a definition for a job that monitors model quality and drift.create-monitoring-scheduleCreates a schedule that regularly starts Amazon SageMaker AI Processing Jobs to monitor the data captured for an Amazon SageMaker AI Endpoint.create-notebook-instanceCreates an SageMaker AI notebook instance.create-notebook-instance-lifecycle-configCreates a lifecycle configuration that you can associate with a notebook instance.create-optimization-jobCreates a job that optimizes a model for inference performance.create-partner-appCreates an Amazon SageMaker Partner AI App.create-partner-app-presigned-urlCreates a presigned URL to access an Amazon SageMaker Partner AI App.create-pipelineCreates a pipeline using a JSON pipeline definition.create-presigned-domain-urlCreates a URL for a specified UserProfile in a Domain.create-presigned-mlflow-app-urlReturns a presigned URL that you can use to connect to the MLflow UI attached to your MLflow App.create-presigned-mlflow-tracking-server-urlReturns a presigned URL that you can use to connect to the MLflow UI attached to your tracking server.create-presigned-notebook-instance-urlReturns a URL that you can use to connect to the Jupyter server from a notebook instance.create-processing-jobCreates a processing job.create-projectCreates 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.create-spaceCreates a private space or a space used for real time collaboration in a domain.create-studio-lifecycle-configCreates a new Amazon SageMaker AI Studio Lifecycle Configuration.create-training-jobStarts a model training job.create-training-planCreates a new training plan in SageMaker to reserve compute capacity.create-training-sessionCreates a training session in Amazon SageMaker.create-transform-jobStarts a transform job.create-trialCreates an SageMaker trial.create-trial-componentCreates a trial component, which is a stage of a machine learning trial.create-user-profileCreates a user profile.create-workforceUse this operation to create a workforce.create-workteamCreates a new work team for labeling your data.delete-actionDeletes an action.delete-ai-benchmark-jobDeletes the specified AI benchmark job.delete-ai-recommendation-jobDeletes the specified AI recommendation job.delete-ai-workload-configDeletes the specified AI workload configuration.delete-algorithmRemoves the specified algorithm from your account.delete-appUsed to stop and delete an app.delete-app-image-configDeletes an AppImageConfig.delete-artifactDeletes an artifact.delete-associationDeletes an association.delete-clusterDelete a SageMaker HyperPod cluster.delete-cluster-extensionDeletes an extension from a SageMaker HyperPod cluster.delete-cluster-scheduler-configDeletes the cluster policy of the cluster.delete-code-repositoryDeletes the specified Git repository from your account.delete-compilation-jobDeletes the specified compilation job.delete-compute-quotaDeletes the compute allocation from the cluster.delete-contextDeletes an context.delete-data-quality-job-definitionDeletes a data quality monitoring job definition.delete-device-fleetDeletes a fleet.delete-domainUsed to delete a domain.delete-edge-deployment-planDeletes an edge deployment plan if (and only if) all the stages in the plan are inactive or there are no stages in the plan.delete-edge-deployment-stageDelete a stage in an edge deployment plan if (and only if) the stage is inactive.delete-endpointDeletes an endpoint.delete-endpoint-configDeletes an endpoint configuration.delete-experimentDeletes an SageMaker experiment.delete-feature-groupDelete the FeatureGroup and any data that was written to the OnlineStore of the FeatureGroup.delete-flow-definitionDeletes the specified flow definition.delete-hubDelete a hub.delete-hub-contentDelete the contents of a hub.delete-hub-content-referenceDelete a hub content reference in order to remove a model from a private hub.delete-human-task-uiUse this operation to delete a human task user interface (worker task template).delete-hyper-parameter-tuning-jobDeletes a hyperparameter tuning job.delete-imageDeletes a SageMaker AI image and all versions of the image.delete-image-versionDeletes a version of a SageMaker AI image.delete-inference-componentDeletes an inference component.delete-inference-experimentDeletes an inference experiment.delete-jobDeletes a job.delete-mlflow-appDeletes an MLflow App.delete-mlflow-tracking-serverDeletes an MLflow Tracking Server.delete-modelDeletes a model.delete-model-bias-job-definitionDeletes an Amazon SageMaker AI model bias job definition.delete-model-cardDeletes an Amazon SageMaker Model Card.delete-model-explainability-job-definitionDeletes an Amazon SageMaker AI model explainability job definition.delete-model-packageDeletes a model package.delete-model-package-groupDeletes the specified model group.delete-model-package-group-policyDeletes a model group resource policy.delete-model-quality-job-definitionDeletes the secified model quality monitoring job definition.delete-monitoring-scheduleDeletes a monitoring schedule.delete-notebook-instanceDeletes an SageMaker AI notebook instance.delete-notebook-instance-lifecycle-configDeletes a notebook instance lifecycle configuration.delete-optimization-jobDeletes an optimization job.delete-partner-appDeletes a SageMaker Partner AI App.delete-pipelineDeletes a pipeline if there are no running instances of the pipeline.delete-processing-jobDeletes a processing job.delete-projectDelete the specified project.delete-spaceUsed to delete a space.delete-studio-lifecycle-configDeletes the Amazon SageMaker AI Studio Lifecycle Configuration.delete-tagsDeletes the specified tags from an SageMaker resource.delete-training-jobDeletes a training job.delete-training-sessionDeletes a training session.delete-trialDeletes the specified trial.delete-trial-componentDeletes the specified trial component.delete-user-profileDeletes a user profile.delete-workforceUse this operation to delete a workforce.delete-workteamDeletes an existing work team.deregister-devicesDeregisters the specified devices.describe-actionDescribes an action.describe-ai-benchmark-jobReturns details of an AI benchmark job, including its status, configuration, target endpoint, and timing information.describe-ai-recommendation-jobReturns details of an AI recommendation job, including its status, model source, performance targets, optimization recommendations, and deployment configurations.describe-ai-workload-configReturns details of an AI workload configuration, including the dataset configuration, benchmark tool settings, tags, and creation time.describe-algorithmReturns a description of the specified algorithm that is in your account.describe-appDescribes the app.describe-app-image-configDescribes an AppImageConfig.describe-artifactDescribes an artifact.describe-auto-ml-jobReturns information about an AutoML job created by calling CreateAutoMLJob.describe-auto-ml-job-v2Returns information about an AutoML job created by calling CreateAutoMLJobV2 or CreateAutoMLJob.describe-clusterRetrieves information of a SageMaker HyperPod cluster.describe-cluster-eventRetrieves detailed information about a specific event for a given HyperPod cluster.describe-cluster-extensionRetrieves information about an extension installed on a SageMaker HyperPod cluster.describe-cluster-nodeRetrieves information of a node (also called a instance interchangeably) of a SageMaker HyperPod cluster.describe-cluster-scheduler-configDescription of the cluster policy.describe-code-repositoryGets details about the specified Git repository.describe-compilation-jobReturns information about a model compilation job.describe-compute-quotaDescription of the compute allocation definition.describe-contextDescribes a context.describe-data-quality-job-definitionGets the details of a data quality monitoring job definition.describe-deviceDescribes the device.describe-device-fleetA description of the fleet the device belongs to.describe-domainThe description of the domain.describe-edge-deployment-planDescribes an edge deployment plan with deployment status per stage.describe-edge-packaging-jobA description of edge packaging jobs.describe-endpointReturns the description of an endpoint.describe-endpoint-configReturns the description of an endpoint configuration created using the CreateEndpointConfig API.describe-experimentProvides a list of an experiment's properties.describe-feature-groupUse this operation to describe a FeatureGroup.describe-feature-metadataShows the metadata for a feature within a feature group.describe-flow-definitionReturns information about the specified flow definition.describe-hubDescribes a hub.describe-hub-contentDescribe the content of a hub.describe-human-task-uiReturns information about the requested human task user interface (worker task template).describe-hyper-parameter-tuning-jobReturns a description of a hyperparameter tuning job, depending on the fields selected.describe-imageDescribes a SageMaker AI image.describe-image-versionDescribes a version of a SageMaker AI image.describe-inference-componentReturns information about an inference component.describe-inference-experimentReturns details about an inference experiment.describe-inference-recommendations-jobProvides the results of the Inference Recommender job.describe-jobReturns detailed information about a job, including its current status, secondary status, configuration, and timestamps.describe-job-schema-versionReturns the JSON schema for a specified job category and schema version.describe-labeling-jobGets information about a labeling job.describe-lineage-groupProvides a list of properties for the requested lineage group.describe-mlflow-appReturns information about an MLflow App.describe-mlflow-tracking-serverReturns information about an MLflow Tracking Server.describe-modelDescribes a model that you created using the CreateModel API.describe-model-bias-job-definitionReturns a description of a model bias job definition.describe-model-cardDescribes the content, creation time, and security configuration of an Amazon SageMaker Model Card.describe-model-card-export-jobDescribes an Amazon SageMaker Model Card export job.describe-model-explainability-job-definitionReturns a description of a model explainability job definition.describe-model-packageReturns a description of the specified model package, which is used to create SageMaker models or list them on Amazon Web Services Marketplace.describe-model-package-groupGets a description for the specified model group.describe-model-quality-job-definitionReturns a description of a model quality job definition.describe-monitoring-scheduleDescribes the schedule for a monitoring job.describe-notebook-instanceReturns information about a notebook instance.describe-notebook-instance-lifecycle-configReturns a description of a notebook instance lifecycle configuration.describe-optimization-jobProvides the properties of the specified optimization job.describe-partner-appGets information about a SageMaker Partner AI App.describe-pipelineDescribes the details of a pipeline.describe-pipeline-definition-for-executionDescribes the details of an execution's pipeline definition.describe-pipeline-executionDescribes the details of a pipeline execution.describe-processing-jobReturns a description of a processing job.describe-projectDescribes the details of a project.describe-reserved-capacityRetrieves details about a reserved capacity.describe-spaceDescribes the space.describe-studio-lifecycle-configDescribes the Amazon SageMaker AI Studio Lifecycle Configuration.describe-subscribed-workteamGets information about a work team provided by a vendor.describe-training-jobReturns information about a training job.describe-training-planRetrieves detailed information about a specific training plan.describe-training-plan-extension-historyRetrieves the extension history for a specified training plan.describe-training-sessionRetrieves detailed information about a training session, including its current status, model configuration, Low-Rank Adaptation (LoRA) parameters, and timestamps.describe-transform-jobReturns information about a transform job.describe-trialProvides a list of a trial's properties.describe-trial-componentProvides a list of a trials component's properties.describe-user-profileDescribes a user profile.describe-workforceLists private workforce information, including workforce name, Amazon Resource Name (ARN), and, if applicable, allowed IP address ranges (CIDRs).describe-workteamGets information about a specific work team.detach-cluster-node-volumeDetaches your Amazon Elastic Block Store (Amazon EBS) volume from a node in your EKS orchestrated SageMaker HyperPod cluster.disable-sagemaker-servicecatalog-portfolioDisables using Service Catalog in SageMaker.disassociate-trial-componentDisassociates a trial component from a trial.enable-sagemaker-servicecatalog-portfolioEnables using Service Catalog in SageMaker.extend-training-planExtends an existing training plan by purchasing an extension offering.get-device-fleet-reportDescribes a fleet.get-lineage-group-policyThe resource policy for the lineage group.get-model-package-group-policyGets a resource policy that manages access for a model group.get-sagemaker-servicecatalog-portfolio-statusGets the status of Service Catalog in SageMaker.get-scaling-configuration-recommendationStarts an Amazon SageMaker Inference Recommender autoscaling recommendation job.get-search-suggestionsAn auto-complete API for the search functionality in the SageMaker console.import-hub-contentImport hub content.list-actionsLists the actions in your account and their properties.list-ai-benchmark-jobsReturns a list of AI benchmark jobs in your account.list-ai-recommendation-jobsReturns a list of AI recommendation jobs in your account.list-ai-workload-configsReturns a list of AI workload configurations in your account.list-algorithmsLists the machine learning algorithms that have been created.list-aliasesLists the aliases of a specified image or image version.list-app-image-configsLists the AppImageConfigs in your account and their properties.list-appsLists apps.list-artifactsLists the artifacts in your account and their properties.list-associationsLists the associations in your account and their properties.list-auto-ml-jobsRequest a list of jobs.list-candidates-for-auto-ml-jobList the candidates created for the job.list-cluster-eventsRetrieves a list of event summaries for a specified HyperPod cluster.list-cluster-extensionsLists the extensions installed on a SageMaker HyperPod cluster.list-cluster-nodesRetrieves the list of instances (also called nodes interchangeably) in a SageMaker HyperPod cluster.list-cluster-scheduler-configsList the cluster policy configurations.list-clustersRetrieves the list of SageMaker HyperPod clusters.list-code-repositoriesGets a list of the Git repositories in your account.list-compilation-jobsLists model compilation jobs that satisfy various filters.list-compute-quotasList the resource allocation definitions.list-contextsLists the contexts in your account and their properties.list-data-quality-job-definitionsLists the data quality job definitions in your account.list-device-fleetsReturns a list of devices in the fleet.list-devicesA list of devices.list-domainsLists the domains.list-edge-deployment-plansLists all edge deployment plans.list-edge-packaging-jobsReturns a list of edge packaging jobs.list-endpoint-configsLists endpoint configurations.list-endpointsLists endpoints.list-experimentsLists all the experiments in your account.list-feature-groupsList FeatureGroups based on given filter and order.list-flow-definitionsReturns information about the flow definitions in your account.list-hub-content-versionsList hub content versions.list-hub-contentsList the contents of a hub.list-hubsList all existing hubs.list-human-task-uisReturns information about the human task user interfaces in your account.list-hyper-parameter-tuning-jobsGets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.list-image-versionsLists the versions of a specified image and their properties.list-imagesLists the images in your account and their properties.list-inference-componentsLists the inference components in your account and their properties.list-inference-experimentsReturns the list of all inference experiments.list-inference-recommendations-job-stepsReturns a list of the subtasks for an Inference Recommender job.list-inference-recommendations-jobsLists recommendation jobs that satisfy various filters.list-job-schema-versionsLists available configuration schema versions for a specified job category.list-jobsLists jobs in a specified category.list-labeling-jobsGets a list of labeling jobs.list-labeling-jobs-for-workteamGets a list of labeling jobs assigned to a specified work team.list-lineage-groupsA list of lineage groups shared with your Amazon Web Services account.list-mlflow-appsLists all MLflow Appslist-mlflow-tracking-serversLists all MLflow Tracking Servers.list-model-bias-job-definitionsLists model bias jobs definitions that satisfy various filters.list-model-card-export-jobsList the export jobs for the Amazon SageMaker Model Card.list-model-card-versionsList existing versions of an Amazon SageMaker Model Card.list-model-cardsList existing model cards.list-model-explainability-job-definitionsLists model explainability job definitions that satisfy various filters.list-model-metadataLists the domain, framework, task, and model name of standard machine learning models found in common model zoos.list-model-package-groupsGets a list of the model groups in your Amazon Web Services account.list-model-packagesLists the model packages that have been created.list-model-quality-job-definitionsGets a list of model quality monitoring job definitions in your account.list-modelsLists models created with the CreateModel API.list-monitoring-alert-historyGets a list of past alerts in a model monitoring schedule.list-monitoring-alertsGets the alerts for a single monitoring schedule.list-monitoring-executionsReturns list of all monitoring job executions.list-monitoring-schedulesReturns list of all monitoring schedules.list-notebook-instance-lifecycle-configsLists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.list-notebook-instancesReturns a list of the SageMaker AI notebook instances in the requester's account in an Amazon Web Services Region.list-optimization-jobsLists the optimization jobs in your account and their properties.list-partner-appsLists all of the SageMaker Partner AI Apps in an account.list-pipeline-execution-stepsGets a list of PipeLineExecutionStep objects.list-pipeline-executionsGets a list of the pipeline executions.list-pipeline-parameters-for-executionGets a list of parameters for a pipeline execution.list-pipeline-versionsGets a list of all versions of the pipeline.list-pipelinesGets a list of pipelines.list-processing-jobsLists processing jobs that satisfy various filters.list-projectsGets a list of the projects in an Amazon Web Services account.list-resource-catalogsLists Amazon SageMaker Catalogs based on given filters and orders.list-spacesLists spaces.list-stage-devicesLists devices allocated to the stage, containing detailed device information and deployment status.list-studio-lifecycle-configsLists the Amazon SageMaker AI Studio Lifecycle Configurations in your Amazon Web Services Account.list-subscribed-workteamsGets a list of the work teams that you are subscribed to in the Amazon Web Services Marketplace.list-tagsReturns the tags for the specified SageMaker resource.list-training-jobsLists training jobs.list-training-jobs-for-hyper-parameter-tuning-jobGets a list of TrainingJobSummary objects that describe the training jobs that a hyperparameter tuning job launched.list-training-plansRetrieves a list of training plans for the current account.list-training-sessionsLists training sessions in your account.list-transform-jobsLists transform jobs.list-trial-componentsLists the trial components in your account.list-trialsLists the trials in your account.list-ultra-servers-by-reserved-capacityLists all UltraServers that are part of a specified reserved capacity.list-user-profilesLists user profiles.list-workforcesUse this operation to list all private and vendor workforces in an Amazon Web Services Region.list-workteamsGets a list of private work teams that you have defined in a region.put-model-package-group-policyAdds a resouce policy to control access to a model group.query-lineageUse this action to inspect your lineage and discover relationships between entities.register-devicesRegister devices.render-ui-templateRenders the UI template so that you can preview the worker's experience.retry-pipeline-executionRetry the execution of the pipeline.searchFinds SageMaker resources that match a search query.search-training-plan-offeringsSearches for available training plan offerings based on specified criteria.send-pipeline-execution-step-failureNotifies the pipeline that the execution of a callback step failed, along with a message describing why.send-pipeline-execution-step-successNotifies the pipeline that the execution of a callback step succeeded and provides a list of the step's output parameters.start-cluster-health-checkStart deep health checks for a SageMaker HyperPod cluster.start-edge-deployment-stageStarts a stage in an edge deployment plan.start-inference-experimentStarts an inference experiment.start-mlflow-tracking-serverProgrammatically start an MLflow Tracking Server.start-monitoring-scheduleStarts a previously stopped monitoring schedule.start-notebook-instanceLaunches an ML compute instance with the latest version of the libraries and attaches your ML storage volume.start-pipeline-executionStarts a pipeline execution.start-sessionInitiates a remote connection session between a local integrated development environments (IDEs) and a remote SageMaker space.stop-ai-benchmark-jobStops a running AI benchmark job.stop-ai-recommendation-jobStops a running AI recommendation job.stop-auto-ml-jobA method for forcing a running job to shut down.stop-compilation-jobStops a model compilation job.stop-edge-deployment-stageStops a stage in an edge deployment plan.stop-edge-packaging-jobRequest to stop an edge packaging job.stop-hyper-parameter-tuning-jobStops a running hyperparameter tuning job and all running training jobs that the tuning job launched.stop-inference-experimentStops an inference experiment.stop-inference-recommendations-jobStops an Inference Recommender job.stop-jobStops a running job.stop-labeling-jobStops a running labeling job.stop-mlflow-tracking-serverProgrammatically stop an MLflow Tracking Server.stop-monitoring-scheduleStops a previously started monitoring schedule.stop-notebook-instanceTerminates the ML compute instance.stop-optimization-jobEnds a running inference optimization job.stop-pipeline-executionStops a pipeline execution.stop-processing-jobStops a processing job.stop-training-jobStops a training job.stop-training-sessionStops a running training session and sets the session status to Stopping.stop-transform-jobStops a batch transform job.update-actionUpdates an action.update-app-image-configUpdates the properties of an AppImageConfig.update-artifactUpdates an artifact.update-clusterUpdates a SageMaker HyperPod cluster.update-cluster-extensionUpdates the configuration or the version of an extension installed on a SageMaker HyperPod cluster.update-cluster-scheduler-configUpdate the cluster policy configuration.update-cluster-softwareUpdates the platform software of a SageMaker HyperPod cluster for security patching.update-code-repositoryUpdates the specified Git repository with the specified values.update-compute-quotaUpdate the compute allocation definition.update-contextUpdates a context.update-device-fleetUpdates a fleet of devices.update-devicesUpdates one or more devices in a fleet.update-domainUpdates the default settings for new user profiles in the domain.update-endpointDeploys the EndpointConfig specified in the request to a new fleet of instances.update-endpoint-weights-and-capacitiesUpdates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint.update-experimentAdds, updates, or removes the description of an experiment.update-feature-groupUpdates the feature group by either adding features or updating the online store configuration.update-feature-metadataUpdates the description and parameters of the feature group.update-hubUpdate a hub.update-hub-contentUpdates SageMaker hub content (either a Model or Notebook resource).update-hub-content-referenceUpdates the contents of a SageMaker hub for a ModelReference resource.update-imageUpdates the properties of a SageMaker AI image.update-image-versionUpdates the properties of a SageMaker AI image version.update-inference-componentUpdates an inference component.update-inference-component-runtime-configRuntime settings for a model that is deployed with an inference component.update-inference-experimentUpdates an inference experiment that you created.update-mlflow-appUpdates an MLflow App.update-mlflow-tracking-serverUpdates properties of an existing MLflow Tracking Server.update-model-cardUpdate an Amazon SageMaker Model Card.update-model-packageUpdates a versioned model.update-monitoring-alertUpdate the parameters of a model monitor alert.update-monitoring-scheduleUpdates a previously created schedule.update-notebook-instanceUpdates a notebook instance.update-notebook-instance-lifecycle-configUpdates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.update-partner-appUpdates all of the SageMaker Partner AI Apps in an account.update-pipelineUpdates a pipeline.update-pipeline-executionUpdates a pipeline execution.update-pipeline-versionUpdates a pipeline version.update-projectUpdates a machine learning (ML) project that is created from a template that sets up an ML pipeline from training to deploying an approved model.update-spaceUpdates the settings of a space.update-training-jobUpdate a model training job to request a new Debugger profiling configuration or to change warm pool retention length.update-trialUpdates the display name of a trial.update-trial-componentUpdates one or more properties of a trial component.update-user-profileUpdates a user profile.update-workforceUse this operation to update your workforce.update-workteamUpdates an existing work team with new member definitions or description.