CatBoost-inspired gradient boosting in pure Python with a numba backend
Project description
chimeraboost
Full-featured gradient boosting library with a Python/numba backend, inspired by CatBoost
-
What?
- GBDT library that only depends on numpy, numba, and scikit-learn
- Near equivalent performance to CatBoost on CPU
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Why?
- I want to be able to modify my GBDT library at will
- I know Python and I don't know C
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How?
from chimeraboost import ChimeraBoostClassifier
clf = ChimeraBoostClassifier()
clf.fit(X, y)
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