gradient-boosting

LightGBM

+33

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

catboost

+18

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

shap/shap

+13

A game theoretic approach to explain the output of any machine learning model.

interpret

+3

Fit interpretable models. Explain blackbox machine learning.