topic_modeling/lda.py
def _compose_pre_process_functions(self):
        """
        Composes the pre processing functions and return a function
        """
        map_stem = curried_map(self.__stemmer)
        # NOTE: this can also be made pluggable
        map_lower = curried_map(str.lower)
        return compose(
            list, map_stem, curried_filter(self._not_stop),
            map_lower, self.__tokenizer
        )

        Composes the pre processing functions and return a function
        
Composes the pre processing functions and return a function
Composes the pre processing functions and return a function
def _compose_pre_process_functions(self):
        map_stem = curried_map(self.__stemmer)
        map_lower = curried_map(str.lower)
        return compose(
            list, map_stem, curried_filter(self._not_stop),
            map_lower, self.__tokenizer
        )
def _compose_pre_process_functions ( self ) : map_stem = curried_map ( self . __stemmer ) map_lower = curried_map ( str . lower ) return compose ( list , map_stem , curried_filter ( self . _not_stop ) , map_lower , self . __tokenizer )
Composes the pre processing functions and return a function
Composes the pre processing functions and return a function
"""
        Composes the pre processing functions and return a function
        """ # NOTE: this can also be made pluggable
self