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.nothman@gmail.com>:
Have you considered whether a mixin is a better model than a wrapper?