splearn/feature_extraction/text.py
def _sort_features(self, vocabulary):
        """Sort features by name

        Returns a reordered matrix and modifies the vocabulary in place
        """
        sorted_features = sorted(six.iteritems(vocabulary))
        map_index = np.empty(len(sorted_features), dtype=np.int32)
        for new_val, (term, old_val) in enumerate(sorted_features):
            map_index[new_val] = old_val
            vocabulary[term] = new_val

        return map_index
def _sort_features(self, vocabulary):
        sorted_features = sorted(six.iteritems(vocabulary))
        map_index = np.empty(len(sorted_features), dtype=np.int32)
        for new_val, (term, old_val) in enumerate(sorted_features):
            map_index[new_val] = old_val
            vocabulary[term] = new_val

        return map_index
def _sort_features ( self , vocabulary ) : sorted_features = sorted ( six . iteritems ( vocabulary ) ) map_index = np . empty ( len ( sorted_features ) , dtype = np . int32 ) for new_val , ( term , old_val ) in enumerate ( sorted_features ) : map_index [ new_val ] = old_val vocabulary [ term ] = new_val return map_index
Sort features by name

        Returns a reordered matrix and modifies the vocabulary in place
Sort features by name