code: def target_help():
      """
      .. Note::
          This function is kept here only for documentation purpose and not implementing the
          actual feature. It should be implemented in the plugin's top level namescope and should
          be callable with ``plugin_module.target_help``
  
      Return a string containing detailed documentation on the current deployment target, to be
      displayed when users invoke the ``mlflow deployments help -t <target-name>`` CLI. This
      method should be defined within the module specified by the plugin author.
      The string should contain:
  
      * An explanation of target-specific fields in the ``config`` passed to ``create_deployment``,
        ``update_deployment``
      * How to specify a ``target_uri`` (e.g. for AWS SageMaker, ``target_uri`` have a scheme of
        "sagemaker:/<aws-cli-profile-name>", where aws-cli-profile-name is the name of an AWS
        CLI profile https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-profiles.html)
      * Any other target-specific details.
  
      """
      raise NotImplementedError(
          "This function should be implemented in the deployment plugin. It is "
          "kept here only for documentation purpose and shouldn't be used in "
          "your application"
      )
  
file_path: mlflow/mlflow/deployments/base.py
imports: import abc
  from mlflow.exceptions import MlflowException
  from mlflow.utils.annotations import developer_stable
label_desc: Use image node_id 2 for calling a global function with example usage: target_help() without return types