aws sagemaker create-app
Creates a running app for the specified UserProfile. Supported apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Studio upon access to the associated Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously
Options
| Name | Description |
|---|---|
--domain-id <string> | The domain ID |
--user-profile-name <string> | The user profile name |
--app-type <string> | The type of app. Supported apps are JupyterServer and KernelGateway. TensorBoard is not supported |
--app-name <string> | The name of the app |
--tags <list> | Each tag consists of a key and an optional value. Tag keys must be unique per resource |
--resource-spec <structure> | The instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance |
--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 |