​​Machine Learning models should play by the rules, literally. Natural Intelligence is still a pretty good idea.

Back in the old days, it was common to write rule-based systems.
Nowadays, it's much more fashionable to use machine learning instead.

We started wondering if we might have lost something in this transition. Sure, machine learning covers a lot of ground but it is also capable of making bad decision. We've also reached a stage of hype that folks forget that many classification problems can be handled by natural intelligence too.

This package contains scikit-learn compatible tools that should make it easier to construct and benchmark rule based systems that are designed by humans. You can also use it in combination with ML models.

This tool allows you to draw over your datasets. These drawings can later be converted to models or to preprocessing tools.

https://koaning.github.io/human-learn/

#python #ds