parameters: (self, x, unused_y=None)
return_statement: return self.transform(x)
docstring: Learn the vocabulary dictionary and return indexies of categories.
  
      Args:
        x: numpy matrix or iterable of lists/numpy arrays.
        unused_y: to match fit_transform signature of estimators.
  
      Returns:
        x: iterable, [n_samples]. Category-id matrix.
docstring_summary: Learn the vocabulary dictionary and return indexies of categories.
docstring_tokens: Learn the vocabulary dictionary and return indexies of categories .
function: def fit_transform(self, x, unused_y=None):
      """Learn the vocabulary dictionary and return indexies of categories.
  
      Args:
        x: numpy matrix or iterable of lists/numpy arrays.
        unused_y: to match fit_transform signature of estimators.
  
      Returns:
        x: iterable, [n_samples]. Category-id matrix.
      """
      self.fit(x)
      return self.transform(x)
function_tokens: def fit_transform ( self , x , unused_y = None ) : self . fit ( x ) return self . transform ( x )