class_docstr: Base class exposing Python model deployment APIs.
  
  Plugin implementors should define target-specific deployment logic via a subclass of
  ``BaseDeploymentClient`` within the plugin module, and customize method docstrings with
  target-specific information.
  
  .. Note::
      Subclasses should raise :py:class:`mlflow.exceptions.MlflowException` in error cases (e.g.
      on failure to deploy a model).
class_docstr_tok: ["Base","class","exposing","Python","model","deployment","APIs",".","Plugin","implementors","should","define","target-specific","deployment","logic","via","a","subclass","of","``","BaseDeploymentClient","``","within","the","plugin","module",",","and","customize","method","docstrings","with","target-specific","information",".","..","Note",":",":","Subclasses","should","raise",":","py",":","class",":","`","mlflow.exceptions.MlflowException","`","in","error","cases","(","e.g",".","on","failure","to","deploy","a","model",")","."]
docstr: Delete the endpoint from the specified target. Deletion should be idempotent (i.e. deletion
  should not fail if retried on a non-existent deployment).
  
  Args:
      endpoint: Name of endpoint to delete
  
  Returns:
      None
docstr_tok: ["Delete","the","endpoint","from","the","specified","target",".","Deletion","should","be","idempotent","(","i.e",".","deletion","should","not","fail","if","retried","on","a","non-existent","deployment",")",".","Args",":","endpoint",":","Name","of","endpoint","to","delete","Returns",":","None"]
code: def delete_endpoint(self, endpoint):
      """
      Delete the endpoint from the specified target. Deletion should be idempotent (i.e. deletion
      should not fail if retried on a non-existent deployment).
  
      Args:
          endpoint: Name of endpoint to delete
  
      Returns:
          None
      """
      raise MlflowException(
          "Method is unimplemented in base client. Implementation should be "
          "provided by specific target plugins."
      )
  
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 11 for calling the BaseDeploymentClient obj's underlying member method code with example usage: obj.delete_endpoint(endpoint) without return types