Gradient Boosting Model Evolution

GBEvo is a Python module for features selection and hyperparameter optimization of gradient boosting models (XGBoost, LGBM, CatBoost, scikit-learn).

Getting Started

Dependencies

GBEvo requires:

• XGBoost or LightGBM or CatBoost or scikit-learn
• pycma

Installing

Install the packgace using pip

pip install https://github.com/MikolajMizera/GBEvo.git

Development status

07-05-2020 Minimal working example