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 __init__(self):
      self.folds = None
      self.partitions = 1
      self.n_samples = None
      self.n_test_samples = None
  
      self.__fitted__ = False
  
imports: from __future__ import division
  from abc import abstractmethod
  import numpy
  from ..externals.sklearn.base import BaseEstimator
label_desc: Use image node_id 1 to create a new BaseIndex object from inherited base classes: BaseEstimator with example: obj = BaseIndex()