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.
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docstr: Partition generator method.
  
  Default behavior is to yield ``None``
  for fitting on full data. Overridden in
  :class:`SubsetIndex` and :class:`ClusteredSubsetIndex`
  to produce partition indexes.
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code: def partition(self, X=None, as_array=False):
      """Partition generator method.
  
      Default behavior is to yield ``None``
      for fitting on full data. Overridden in
      :class:`SubsetIndex` and :class:`ClusteredSubsetIndex`
      to produce partition indexes.
      """
      yield None
  
imports: from __future__ import division
  from abc import abstractmethod
  import numpy
  from ..externals.sklearn.base import BaseEstimator
label_desc: Use image node_id 4 for calling the BaseIndex obj's underlying member method code with example usage: obj.partition(X, as_array) without return types