search

christophM / interpretable-ml-book

Book about interpretable machine learning
https://christophm.github.io/interpretable-ml-book/
Other
4.76k stars 1.06k forks source link

Mention Shapley.jl #303

Closed rikhuijzer closed 2 years ago

rikhuijzer commented 2 years ago

The Shapley.jl package does not yet get much credit in the sense of stars, but I used it and it appears to be working fine. You can find nice visuals in my blog post: https://huijzer.xyz/posts/shapley/. Also the Shapley.jl package is registered as an official Julia package and I found the API quite easy to use.

Thanks by the way for writing this book. I like it very much.

christophM commented 2 years ago

Thanks!

ExpandingMan commented 2 years ago

Author of Shapley.jl here. This book was a major source for writing that package, I just wanted to thank you for writing this excellent guide to this bizarrely neglected topic! It's a topic that should get way more attention in my opinion (and not just from people claiming that you should somehow try to fit a clearly non-linear distribution to a linear model purely for the sake of "interpretabality", because believe me there are plenty of those people out there).

christophM commented 2 years ago

Nice to hear from the author of the package! I hope it catches on and many people use it.