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xgboost

Creater: Tianqi Chen: tianqi.tchen AT gmail

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)