class_docstr: Base class for all estimators in scikit-learn
  Notes
  -----
  All estimators should specify all the parameters that can be set
  at the class level in their ``__init__`` as explicit keyword
  arguments (no ``*args`` or ``**kwargs``).
code: def __getstate__(self):
      try:
          state = super(BaseEstimator, self).__getstate__()
      except AttributeError:
          state = self.__dict__.copy()
  
      if type(self).__module__.startswith("sklearn."):
          return dict(state.items(), _sklearn_version=__version__)
      else:
          return state
  
imports: import copy
  import warnings
  from collections import defaultdict
  import numpy
  from scipy import sparse
  from ..None import six
  from ..funcsigs import signature
label_desc: Use image node_id 5 for calling the BaseEstimator obj's underlying member method code with example usage: obj.__getstate__() and returns: dict, state