swMATH ID: 27912
Software Authors: Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
Description: LightGBM: A highly efficient gradient boosting decision tree. A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Homepage: https://github.com/Microsoft/LightGBM
Source Code:  https://github.com/Microsoft/LightGBM
Related Software: XGBoost; Scikit; TensorFlow; CatBoost; Python; Adam; DALEX; NumPy; H2O; ImageNet; randomForest; R; LIBSVM; modelStudio; Fairlearn; PDPbox; AI Explainability 360; dalex; xgboost; ranger
Cited in: 18 Publications

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