The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Computes the entire regularization path for the two-class svm classifier with essentially the same cost as a single SVM fit.
| Version: | 0.970 |
| Depends: | kernlab |
| Published: | 2020-07-14 |
| DOI: | 10.32614/CRAN.package.svmpath |
| Author: | Trevor Hastie |
| Maintainer: | Trevor Hastie <hastie at stanford.edu> |
| License: | GPL-2 |
| URL: | http://www.jmlr.org/papers/volume5/hastie04a/hastie04a.pdf |
| NeedsCompilation: | no |
| In views: | MachineLearning |
| CRAN checks: | svmpath results |
| Reference manual: | svmpath.pdf |
| Package source: | svmpath_0.970.tar.gz |
| Windows binaries: | r-devel: svmpath_0.970.zip, r-release: svmpath_0.970.zip, r-oldrel: svmpath_0.970.zip |
| macOS binaries: | r-release (arm64): svmpath_0.970.tgz, r-oldrel (arm64): svmpath_0.970.tgz, r-release (x86_64): svmpath_0.970.tgz, r-oldrel (x86_64): svmpath_0.970.tgz |
| Old sources: | svmpath archive |
| Reverse imports: | rocsvm.path, svrpath |
Please use the canonical form https://CRAN.R-project.org/package=svmpath to link to this page.
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.
Health stats visible at Monitor.