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tqchen 2014-02-08 13:00:49 -08:00
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@ -6,6 +6,11 @@ General Purpose Gradient Boosting Library
Goal: A stand-alone efficient library to do learning via boosting in functional space
Existing interesting features:
(1) Sparse feature format, handling of missing features. This allows efficient categorical feature encoding as indicators. The speed of booster only depens on number of existing features.
(2) Layout of gradient boosting algorithm to support generic tasks, see project wiki.
Planned key components:
(1) Gradient boosting models: