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