code: def _target_help(target):
      """
      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``s 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.
  
      Args:
          target: Which target to use. This information is used to call the appropriate plugin.
      """
      return plugin_store[target].target_help()
  
file_path: mlflow/mlflow/deployments/interface.py
imports: import inspect
  from logging import Logger
  from mlflow.deployments.base import BaseDeploymentClient
  from mlflow.deployments.plugin_manager import DeploymentPlugins
  from mlflow.deployments.utils import get_deployments_target, parse_target_uri
  from mlflow.exceptions import MlflowException
label_desc: Use image node_id 3 for calling a global function with example usage: _target_help(target) and returns: plugin_store