492 B
492 B
xgboost
Creater: Tianqi Chen: tianqi.tchen@gmail.com
General Purpose Gradient Boosting Library
Intention: A stand-alone efficient library to do machine learning in functional space
Planned key components (TODO):
(1) Gradient boosting models: - regression tree - linear model/lasso (2) Objectives to support tasks: - regression - classification - ranking - matrix factorization - structured prediction (3) OpenMP support for parallelization(optional)