class_docstr: Base Parallel Estimator class
  
  Modified Scikit-learn class to handle backend params that we want to
  protect from changes.
docstr: Fit status
docstr_tok: ["Fit","status"]
code: def __fitted__(self):
      """Fit status"""
      return self._check_static_params()
  
imports: import warnings
  from abc import abstractmethod
  import numpy
  from ._base_functions import check_stack, check_params
  from ..None import config
  from ..utils.exceptions import ParallelProcessingError
  from ..externals.sklearn.base import clone, BaseEstimator
label_desc: Use image node_id 3 for calling the BaseEstimator obj's underlying member method code with example usage: obj.__fitted__() and returns: self