OptGBM
OptGBM (= Optuna + LightGBM) provides a scikit-learn compatible estimator that tunes hyperparameters in LightGBM with Optuna.
Examples
from optgbm.sklearn import OGBMRegressor
from sklearn.datasets import load_boston
reg = OGBMRegressor(random_state=0)
X, y = load_boston(return_X_y=True)
reg.fit(X, y)
score = reg.score(X, y)
Installation
pip install optgbm
Testing
python setup.py test