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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 |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.