parameters: (self, X=None, y=None, groups=None)
docstring: Generate indices to split data into training and test set.
  
          Parameters
          ----------
          X : object
              Always ignored, exists for compatibility.
  
          y : object
              Always ignored, exists for compatibility.
  
          groups : object
              Always ignored, exists for compatibility.
  
          Returns
          -------
          train : ndarray
              The training set indices for that split.
  
          test : ndarray
              The testing set indices for that split.
docstring_summary: Generate indices to split data into training and test set.
docstring_tokens: Generate indices to split data into training and test set .
function: def split(self, X=None, y=None, groups=None):
          """Generate indices to split data into training and test set.
  
          Parameters
          ----------
          X : object
              Always ignored, exists for compatibility.
  
          y : object
              Always ignored, exists for compatibility.
  
          groups : object
              Always ignored, exists for compatibility.
  
          Returns
          -------
          train : ndarray
              The training set indices for that split.
  
          test : ndarray
              The testing set indices for that split.
          """
          for train, test in self.cv:
              yield train, test
function_tokens: def split ( self , X = None , y = None , groups = None ) : for train , test in self . cv : yield train , test