Gradient Boosting With Piece-Wise Linear Regression Trees

15 Feb 2018 Yu Shi Jian Li Zhize Li

Gradient Boosted Decision Trees (GBDT) is a very successful ensemble learning algorithm widely used across a variety of applications. Recently, several variants of GBDT training algorithms and implementations have been designed and heavily optimized in some very popular open sourced toolkits including XGBoost, LightGBM and CatBoost... (read more)

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METHOD TYPE
Linear Regression
Generalized Linear Models