How could I make mixins work in this case? If I define the class `FancyEstimatorMixin`, in order to get a drop-in replacement for a sklearn object wouldn't I need to monkey-patch the scikit-learn `BaseEstimator` class to inherit from my mixin? Or am I misunderstanding something?
(BTW monkey-patching is one of the things I am trying to avoid in a "clean" solution) On Mon, Apr 16, 2018 at 1:24 PM Manuel CASTEJÓN LIMAS via scikit-learn < scikit-learn@python.org> wrote: > Nope! Mostly because of lack of experience with mixins. > I've done some reading and I think I can come up with a few mixins doing > the trick by dynamically adding their methods to an already instantiated > object. I'll play with that and I hope to show you something soon! Or at > least I will have better grounds to make an educated decision. > Best > Manuel > > 2018-04-15 15:18 GMT+02:00 Joel Nothman <joel.noth...@gmail.com>: > >> Have you considered whether a mixin is a better model than a wrapper? >> >
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