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 __setstate__(self, state):
      if type(self).__module__.startswith("sklearn."):
          pickle_version = state.pop("_sklearn_version", "pre-0.18")
          if pickle_version != __version__:
              warnings.warn(
                  "Trying to unpickle estimator {0} from version {1} when "
                  "using version {2}. This might lead to breaking code or "
                  "invalid results. Use at your own risk.".format(
                      self.__class__.__name__,
                      pickle_version,
                      __version__,
                  ),
                  UserWarning,
              )
      try:
          super(BaseEstimator, self).__setstate__(state)
      except AttributeError:
          self.__dict__.update(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 6 for calling the BaseEstimator obj's underlying member method code with example usage: obj.__setstate__(state) without return types