class_docstr: Base Index class.
  
  Specification of indexer-wide methods and attributes that we can always
  expect to find in any indexer. Helps to provide a uniform interface
  during parallel estimation.
class_docstr_tok: ["Base","Index","class",".","Specification","of","indexer-wide","methods","and","attributes","that","we","can","always","expect","to","find","in","any","indexer",".","Helps","to","provide","a","uniform","interface","during","parallel","estimation","."]
code: def set_params(self, **params):
      self.__fitted__ = False
      return super(BaseIndex, self).set_params(**params)
  
imports: from __future__ import division
  from abc import abstractmethod
  import numpy
  from ..externals.sklearn.base import BaseEstimator
label_desc: Use image node_id 7 for calling the BaseIndex obj's underlying member method code with example usage: obj.set_params() and returns: super