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[P] Hunga-Bunga: Because why not brute force all of sklearn?

Disclaimer – this is not my project, but it is simple and very cool at the same time, so I thought people might like it.

Say hello to Hunga Bunga!

Like the title says, it lets you brute force all of sklearn (including parameters and model types) with a simple fit / predict interface.

All you need to do is:

from hunga_bunga import HungaBungaClassifier, HungaBungaRegressor clf = HungaBungaClassifier() clf.fit(x, y) clf.predict(x) 

As simple as that.

Do you have any other simple yet wonderful automation libraries? I’d love to know.

submitted by /u/PhYsIcS-GUY227
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.