aws sagemaker create-context
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 package. For more information, see Amazon SageMaker ML Lineage Tracking
Options
| Name | Description |
|---|---|
--context-name <string> | The name of the context. Must be unique to your account in an AWS Region |
--source <structure> | The source type, ID, and URI |
--context-type <string> | The context type |
--description <string> | The description of the context |
--properties <map> | A list of properties to add to the context |
--tags <list> | A list of tags to apply to the context |
--cli-input-json <string> | Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally |
--generate-cli-skeleton <string> | Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command |