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:Trevor Hastie

svmpath_0.970.tar.gz
svmpath_0.970.zip(r-4.7-any)svmpath_0.970.zip(r-4.6-any)svmpath_0.970.zip(r-4.5-any)
svmpath_0.970.tgz(r-4.6-any)svmpath_0.970.tgz(r-4.5-any)
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svmpath_0.970.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.94 score 2 packages 48 scripts 313 downloads 3 mentions 20 exports 1 dependencies

Last updated from:bc4eeb288e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK113
source / vignettesOK161
linux-release-x86_64OK115
macos-release-arm64OK94
macos-oldrel-arm64OK75
windows-devel-x86_64OK74
windows-release-x86_64OK72
windows-oldrel-x86_64OK83
wasm-releaseOK93

Exports:Balanced.Initializationcoef.svmpathDowndateKstarenlistget.svmstepInitsvmPathmodulusplot.svmpathpoly.kernelpredict.svmpathprint.svmpathPrintPathradial.kernelSnapPathSolveKstarStatPathsummary.svmpathsvmpathUnbalanced.InitializationUpdateKstar

Dependencies:kernlab