bst

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) <doi:10.2202/1557-4679.1304>, Wang (2012) <doi:10.3414/ME11-02-0020>, Wang (2018) <doi:10.1080/10618600.2018.1424635>, Wang (2018) <doi:10.1214/18-EJS1404>.

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Description file content

Package
bst
Type
Package
Title
Gradient Boosting
Version
0.3-17
Date
2019-01-31
Author
Zhu Wang [aut, cre], Torsten Hothorn [ctb]
Maintainer
Zhu Wang
Description
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) .
Imports
rpart, methods, foreach, doParallel, gbm
Suggests
hdi, pROC, R.rsp, knitr, gdata
VignetteBuilder
R.rsp, knitr
License
GPL (>= 2)
LazyLoad
yes
Packaged
2019-02-27 15:15:38 UTC; zhu
NeedsCompilation
no
Repository
CRAN
Date/Publication
2019-02-27 17:00:25 UTC

install.packages('bst')

0.3-17

8 months ago

Zhu Wang

GPL (>= 2)

Imports

rpart, methods, foreach, doParallel, gbm

Suggests

hdi, pROC, R.rsp, knitr, gdata

Discussions