class_docstr: Base Parallel Estimator class
  
  Modified Scikit-learn class to handle backend params that we want to
  protect from changes.
code: def __init__(self, *args, **kwargs):
      super(BaseEstimator, self).__init__(*args, **kwargs)
      self.__static__ = list()
      self._static_fit_params = dict()
  
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 1 to create a new BaseEstimator object from inherited base classes: ParamMixin, _BaseEstimator, BaseParallel with example: obj = BaseEstimator()