Python implementation of FeatBoost. See the paper for details.
This demo compares featboost to feature ranking of XGBoost on the Madelon benchmark dataset.
pip install git+https://github.com/amjams/FeatBoost.gitOr just clone the repo (recommended for now)
git clone https://github.com/amjams/FeatBoost.gitBasic usage of the model (see the demo above for more details).
from featboost import FeatBoostClassifier
clf = FeatBoostClassifier()
clf.fit(X, y)
clf.feature_importances_