bst (0.3-21)

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Gradient Boosting.

Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) , Wang (2012) , Wang (2018) , Wang (2018) .

Maintainer: Zhu Wang
Author(s): Zhu Wang [aut, cre] (<>), Torsten Hothorn [ctb]

License: GPL (>= 2)

Uses: doParallel, foreach, gbm, rpart, R.rsp, gdata, pROC, knitr, hdi
Reverse suggests: caret, fscaret, mlr

Released about 21 hours ago.

13 previous versions



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