Add support for categorical y in MarginalEffects

[andywong36]

Arises from the following snippet:

        if y is not None:
            X['_actual'] = y
            agg_kwargs['actual'] = ('_actual', y_aggfun)
            agg_kwargs['actual_lower'] = ('_actual', lambda s: s.quantile(.25, interpolation='lower'))
            agg_kwargs['actual_upper'] = ('_actual', lambda s: s.quantile(.75, interpolation='higher'))

.quantile is not a valid function on categorical y

[andywong36]

This precipitates more questions.

1. What would the marginal_effects plot look like for binary outputs?
2. Does it even make sense to have marginal_effects support multi-class outputs?