Package: svmpath 0.970
svmpath: The SVM Path Algorithm
Computes the entire regularization path for the two-class svm classifier with essentially the same cost as a single SVM fit.
Authors:
svmpath_0.970.tar.gz
svmpath_0.970.zip(r-4.7)svmpath_0.970.zip(r-4.6)svmpath_0.970.zip(r-4.5)
svmpath_0.970.tgz(r-4.6-any)svmpath_0.970.tgz(r-4.5-any)
svmpath_0.970.tar.gz(r-4.7-any)svmpath_0.970.tar.gz(r-4.6-any)
svmpath_0.970.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
svmpath/json (API)
| # Install 'svmpath' in R: |
| install.packages('svmpath', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org')) |
- balanced.overlap - Simple examples for svmpath
- balanced.separated - Simple examples for svmpath
- mixture.data - Simple examples for svmpath
- unbalanced.separated - Simple examples for svmpath
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:bc4eeb288e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 141 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 78 | ||
| macos-oldrel-arm64 | OK | 87 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 97 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 89 |
Exports:Balanced.Initializationcoef.svmpathDowndateKstarenlistget.svmstepInitsvmPathmodulusplot.svmpathpoly.kernelpredict.svmpathprint.svmpathPrintPathradial.kernelSnapPathSolveKstarStatPathsummary.svmpathsvmpathUnbalanced.InitializationUpdateKstar
Dependencies:kernlab
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| simple examples for svmpath | balanced.overlap balanced.separated mixture.data unbalanced.separated |
| plot the svm solution at a step along the path | plot.svmpath |
| Make predictions from a "svmpath" object | predict.svmpath |
| Print a summary of the SVM path | print.svmpath |
| compute the kernel matrix for svmpath | poly.kernel radial.kernel |
| produce a summary of an svmpath object | summary.svmpath |
| Fit the entire regularization path for a 2-class SVM | svmpath |
