Computes the entire solution paths for Support Vector Regression(SVR) with respect to the regularization parameter, lambda and epsilon in epsilon-intensive loss function, efficiently. We call each path algorithm svrpath and epspath. See Wang, G. et al (2008) <doi:10.1109/TNN.2008.2002077> for details regarding the method.
Version: | 0.1.2 |
Depends: | R (≥ 3.4.0) |
Imports: | quadprog, svmpath |
Published: | 2018-06-29 |
DOI: | 10.32614/CRAN.package.svrpath |
Author: | Do Hyun Kim [aut, cre], Seung Jun Shin [aut] |
Maintainer: | Do Hyun Kim <09dohkim at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | svrpath results |
Reference manual: | svrpath.pdf |
Package source: | svrpath_0.1.2.tar.gz |
Windows binaries: | r-devel: svrpath_0.1.2.zip, r-release: svrpath_0.1.2.zip, r-oldrel: svrpath_0.1.2.zip |
macOS binaries: | r-release (arm64): svrpath_0.1.2.tgz, r-oldrel (arm64): svrpath_0.1.2.tgz, r-release (x86_64): svrpath_0.1.2.tgz, r-oldrel (x86_64): svrpath_0.1.2.tgz |
Old sources: | svrpath archive |
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