Package: svrpath 0.1.2
svrpath: The SVR Path Algorithm
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.
Authors:
svrpath_0.1.2.tar.gz
svrpath_0.1.2.zip(r-4.7-any)svrpath_0.1.2.zip(r-4.6-any)svrpath_0.1.2.zip(r-4.5-any)
svrpath_0.1.2.tgz(r-4.6-any)svrpath_0.1.2.tgz(r-4.5-any)
svrpath_0.1.2.tar.gz(r-4.7-any)svrpath_0.1.2.tar.gz(r-4.6-any)
svrpath_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
svrpath/json (API)
| # Install 'svrpath' in R: |
| install.packages('svrpath', repos = c('https://09dohkim.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9d32f1832a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 150 | ||
| source / vignettes | OK | 178 | ||
| linux-release | OK | 158 | ||
| macos-release | OK | 158 | ||
| macos-oldrel | OK | 177 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 63 | ||
| windows-oldrel | OK | 65 | ||
| wasm-release | OK | 96 |
Exports:epspathplot.epspathplot.svrpathpredict.epspathpredict.svrpathsolve.svrsvrpath
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit the entire 'epsilon' path for Support Vector Regression | epspath |
| plot the epspath, solution paths of SVR as a function of epsilon | plot.epspath |
| plot the svrpath, solution paths of SVR as a function of lambda | plot.svrpath |
| Make predictions from an "epspath" object | predict.epspath |
| Make predictions from a "svrpath" object | predict.svrpath |
| QP solver for SVR | solve.svr |
| Fit the entire regularization path for Support Vector Regression | svrpath |