Pygbm, a fast pure-Python implementation of Gradient Boosting Decision Trees

- 1 min

I have recently been working on Pygbm in collaboration with Olivier Grisel. Pygbm is a fast, pure-Python implementation of Gradient Boosting Decision Trees. We’re using Numba to perform Just In Time compilation.

Our implementation is heavily inspired from that of LightGBM, written in C++.

Check out Pygbm GitHub page for more info!

Nicolas Hug

Nicolas Hug

Machine Learning PhD, software engineer

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