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:
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 = '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 6 years agofrom:cb44e9d57d. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 27 2025 |
R-4.5-linux | OK | Mar 27 2025 |
R-4.4-linux | OK | Mar 27 2025 |
Exports:plot.rocsvmpoly.kernelradial.kernelrocsvm.get.solutionrocsvm.interceptrocsvm.pathrocsvm.solve
Citation
To cite package ‘rocsvm.path’ in publications use:
Shin S, Kim D (2018). rocsvm.path: The Entire Solution Paths for ROC-SVM. R package version 0.1.0, https://CRAN.R-project.org/package=rocsvm.path.
Corresponding BibTeX entry:
@Manual{, title = {rocsvm.path: The Entire Solution Paths for ROC-SVM}, author = {Seung Jun Shin and Do Hyun Kim}, year = {2018}, note = {R package version 0.1.0}, url = {https://CRAN.R-project.org/package=rocsvm.path}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Plot the rocsvm.path, solution paths of ROC-SVM as a function of lambda | plot.rocsvm |
Compute the kernel matrix for ROC-SVM path | poly.kernel |
Compute the kernel matrix for ROC-SVM path | radial.kernel |
Finding solutions fixed the regularization parameter of ROC-SVM. | rocsvm.get.solution |
Finding an intercept fixed sensitivity or specificity for ROC-SVM | rocsvm.intercept |
Fit the entire regularization path for ROC-Support Vector Machine (ROC-SVM) | rocsvm.path |
Finding Lagrangian multipliers of ROC-SVM by Qudratic Programming | rocsvm.solve |