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@ -6,7 +6,7 @@ General Purpose Gradient Boosting Library
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Goal: A stand-alone efficient library to do learning via boosting in functional space
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Existing interesting features:
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Features:
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(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.
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(2) Layout of gradient boosting algorithm to support generic tasks, see project wiki.
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