Package: rocsvm.path 0.1.0

Seung Jun Shin

rocsvm.path: The Entire Solution Paths for ROC-SVM

We develop the entire solution paths for ROC-SVM presented by Rakotomamonjy. The ROC-SVM solution path algorithm greatly facilitates the tuning procedure for regularization parameter, lambda in ROC-SVM by avoiding grid search algorithm which may be computationally too intensive. For more information on the ROC-SVM, see the report in the ROC Analysis in AI workshop(ROCAI-2004) : Hernàndez-Orallo, José, et al. (2004) <doi:10.1145/1046456.1046489>.

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

rocsvm.path_0.1.0.tar.gz
rocsvm.path_0.1.0.tar.gz(r-4.5-noble)rocsvm.path_0.1.0.tar.gz(r-4.4-noble)
rocsvm.path_0.1.0.tgz(r-4.4-emscripten)rocsvm.path_0.1.0.tgz(r-4.3-emscripten)
rocsvm.path.pdf |rocsvm.path.html
rocsvm.path/json (API)

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

Peer review:

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

1.15 score 14 scripts 84 downloads 7 exports 3 dependencies

Last updated 6 years agofrom:cb44e9d57d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-linuxOKOct 28 2024

Exports:plot.rocsvmpoly.kernelradial.kernelrocsvm.get.solutionrocsvm.interceptrocsvm.pathrocsvm.solve

Dependencies:kernlabquadprogsvmpath