(self, choosers, alternatives)
return super(SegmentedMNLDiscreteChoiceModel, self).apply_fit_filters(
            choosers, alternatives)
Filter `choosers` and `alternatives` for fitting.

        Parameters
        ----------
        choosers : pandas.DataFrame
            Table describing the agents making choices, e.g. households.
        alternatives : pandas.DataFrame
            Table describing the things from which agents are choosing,
            e.g. buildings.

        Returns
        -------
        filtered_choosers, filtered_alts : pandas.DataFrame
Filter `choosers` and `alternatives` for fitting.
Filter choosers and alternatives for fitting .
def apply_fit_filters(self, choosers, alternatives):
        """
        Filter `choosers` and `alternatives` for fitting.

        Parameters
        ----------
        choosers : pandas.DataFrame
            Table describing the agents making choices, e.g. households.
        alternatives : pandas.DataFrame
            Table describing the things from which agents are choosing,
            e.g. buildings.

        Returns
        -------
        filtered_choosers, filtered_alts : pandas.DataFrame

        """
        return super(SegmentedMNLDiscreteChoiceModel, self).apply_fit_filters(
            choosers, alternatives)
def apply_fit_filters ( self , choosers , alternatives ) : return super ( SegmentedMNLDiscreteChoiceModel , self ) . apply_fit_filters ( choosers , alternatives )