Amazon SageMaker Service Skill
amazonaws-com-sagemaker
Endpoints
| Method | Path | Description |
|---|---|---|
POST | / | |
POST | / | Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An... |
POST | / | Adds or overwrites one or more tags for the specified SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs,... |
POST | / | Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComp... |
POST | / | This action batch describes a list of versioned model packages |
POST | / | Creates an action. An action is a lineage tracking entity that represents an action or activity. For example, a model deployment or an HPO job. Generally, an action involves at le... |
POST | / | Create a machine learning algorithm that you can use in SageMaker and list in the Amazon Web Services Marketplace. |
POST | / | Creates a running app for the specified UserProfile. This operation is automatically invoked by Amazon SageMaker upon access to the associated Domain, and when new kernel configur... |
POST | / | Creates a configuration for running a SageMaker image as a KernelGateway app. The configuration specifies the Amazon Elastic File System storage volume on the image, and a list of... |
POST | / | Creates an artifact. An artifact is a lineage tracking entity that represents a URI addressable object or data. Some examples are the S3 URI of a dataset and the ECR registry path... |
POST | / | Creates an Autopilot job also referred to as Autopilot experiment or AutoML job. An AutoML job in SageMaker is a fully automated process that allows you to build machine learning... |
POST | / | Creates an Autopilot job also referred to as Autopilot experiment or AutoML job V2. An AutoML job in SageMaker is a fully automated process that allows you to build machine learni... |
POST | / | Creates a SageMaker HyperPod cluster. SageMaker HyperPod is a capability of SageMaker for creating and managing persistent clusters for developing large machine learning models, s... |
POST | / | Creates a Git repository as a resource in your SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks... |
POST | / | Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that... |
POST | / | Creates a context. A context is a lineage tracking entity that represents a logical grouping of other tracking or experiment entities. Some examples are an endpoint and a model pa... |
POST | / | Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker Model Monitor. |
POST | / | Creates a device fleet. |
POST | / | Creates a Domain. A domain consists of an associated Amazon Elastic File System volume, a list of authorized users, and a variety of security, application, policy, and Amazon Virt... |
POST | / | Creates an edge deployment plan, consisting of multiple stages. Each stage may have a different deployment configuration and devices. |
POST | / | Creates a new stage in an existing edge deployment plan. |
POST | / | Starts a SageMaker Edge Manager model packaging job. Edge Manager will use the model artifacts from the Amazon Simple Storage Service bucket that you specify. After the model has... |
POST | / | Creates an endpoint using the endpoint configuration specified in the request. SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint config... |
POST | / | Creates an endpoint configuration that SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API,... |
POST | / | Creates a SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, t... |
POST | / | Create a new FeatureGroup. A FeatureGroup is a group of Features defined in the FeatureStore to describe a Record. The FeatureGroup defines the schema and features contained in th... |
POST | / | Creates a flow definition. |
POST | / | Create a hub. |
POST | / | Create a hub content reference in order to add a model in the JumpStart public hub to a private hub. |
POST | / | Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an inp... |
Install as Skill
Use this API as a Claude Code skill for instant agent access.
CLI Install
lapsh skill-install amazonaws-com-sagemaker
Downloads and installs to ~/.claude/skills/amazonaws-com-sagemaker/
Recent Versions (1)
2017-07-24(2026-02-13)