(self, choosers, alternatives)
return super(MNLDiscreteChoiceModel, self).apply_predict_filters(
            choosers, alternatives)
Filter `choosers` and `alternatives` for prediction.

        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 prediction.
Filter choosers and alternatives for prediction .
def apply_predict_filters(self, choosers, alternatives):
        """
        Filter `choosers` and `alternatives` for prediction.

        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(MNLDiscreteChoiceModel, self).apply_predict_filters(
            choosers, alternatives)
def apply_predict_filters ( self , choosers , alternatives ) : return super ( MNLDiscreteChoiceModel , self ) . apply_predict_filters ( choosers , alternatives )