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-4.5)svmpath_0.970.zip(r-4.4)svmpath_0.970.zip(r-4.3)
svmpath_0.970.tgz(r-4.5-any)svmpath_0.970.tgz(r-4.4-any)svmpath_0.970.tgz(r-4.3-any)
svmpath_0.970.tar.gz(r-4.5-noble)svmpath_0.970.tar.gz(r-4.4-noble)
svmpath_0.970.tgz(r-4.4-emscripten)svmpath_0.970.tgz(r-4.3-emscripten)
svmpath.pdf |svmpath.html✨
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 5 years agofrom:bc4eeb288e. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 29 2025 |
R-4.5-win | OK | Jan 29 2025 |
R-4.5-mac | OK | Jan 29 2025 |
R-4.5-linux | OK | Jan 29 2025 |
R-4.4-win | OK | Jan 29 2025 |
R-4.4-mac | OK | Jan 29 2025 |
R-4.3-win | OK | Jan 29 2025 |
R-4.3-mac | OK | Jan 29 2025 |
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 |