class_docstr: Warning raised when an estimator is unpickled with a inconsistent version.
  
  Parameters
  ----------
  estimator_name : str
      Estimator name.
  
  current_sklearn_version : str
      Current scikit-learn version.
  
  original_sklearn_version : str
      Original scikit-learn version.
class_docstr_tok: ["Warning","raised","when","an","estimator","is","unpickled","with","a","inconsistent","version",".","Parameters","--","--","--","--","--","estimator_name",":","str","Estimator","name",".","current_sklearn_version",":","str","Current","scikit-learn","version",".","original_sklearn_version",":","str","Original","scikit-learn","version","."]
code: def __str__(self):
      return (
          f"Trying to unpickle estimator {self.estimator_name} from version"
          f" {self.original_sklearn_version} when "
          f"using version {self.current_sklearn_version}. This might lead to breaking"
          " code or "
          "invalid results. Use at your own risk. "
          "For more info please refer to:\n"
          "https://scikit-learn.org/stable/model_persistence.html"
          "#security-maintainability-limitations"
      )
  
label_desc: Use image node_id 2 for calling the InconsistentVersionWarning obj's underlying member method code with example usage: obj.__str__() and returns: str, self, str, self, str, self, str