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)