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``).
class_docstr_tok: ["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 __repr__(self):  # noqa: D105
      params = StringIO()
      pprint(self.get_params(deep=False), params)
      params.seek(0)
      class_name = self.__class__.__name__
      return "%s(%s)" % (class_name, params.read().strip())
  
imports: import inspect
  import operator
  import os
  import warnings
  from contextlib import contextmanager
  from io import StringIO
  from math import log
  from pprint import pprint
  import numpy
label_desc: Use image node_id 4 for calling the BaseEstimator obj's underlying member method code with example usage: obj.__repr__() and returns: unknown