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:Do Hyun Kim [aut, cre], Seung Jun Shin [aut]

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svrpath.pdf |svrpath.html✨
svrpath/json (API)

# Install 'svrpath' in R:
install.packages('svrpath', repos = c('https://09dohkim.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.26 score 18 scripts 130 downloads 7 exports 3 dependencies

Last updated 7 years agofrom:9d32f1832a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:epspathplot.epspathplot.svrpathpredict.epspathpredict.svrpathsolve.svrsvrpath

Dependencies:kernlabquadprogsvmpath