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):
      class_name = self.__class__.__name__
      return "%s(%s)" % (
          class_name,
          _pprint(
              self.get_params(deep=False),
              offset=len(class_name),
          ),
      )
  
imports: import copy
  import warnings
  import numpy
  from scipy import sparse
  from .externals import six
  from .utils.fixes import signature
  from .utils.deprecation import deprecated
  from .exceptions import ChangedBehaviorWarning
  from .None import __version__
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