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>.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: quadprog, svmpath
Published: 2018-10-14
Author: Seung Jun Shin [aut, cre], Do Hyun Kim [aut]
Maintainer: Seung Jun Shin <sjshin at korea.ac.kr>
License: GPL-2
NeedsCompilation: no
CRAN checks: rocsvm.path results

Downloads:

Reference manual: rocsvm.path.pdf
Package source: rocsvm.path_0.1.0.tar.gz
Windows binaries: r-devel: rocsvm.path_0.1.0.zip, r-devel-gcc8: rocsvm.path_0.1.0.zip, r-release: rocsvm.path_0.1.0.zip, r-oldrel: rocsvm.path_0.1.0.zip
OS X binaries: r-release: rocsvm.path_0.1.0.tgz, r-oldrel: rocsvm.path_0.1.0.tgz

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