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

Documentation:

Reference manual:

rocsvm.path.pdf

Downloads:

Package source:	rocsvm.path_0.1.0.tar.gz
Windows binaries:	r-devel: rocsvm.path_0.1.0.zip, r-release: rocsvm.path_0.1.0.zip, r-oldrel: rocsvm.path_0.1.0.zip
macOS binaries:	r-release (arm64): rocsvm.path_0.1.0.tgz, r-oldrel (arm64): rocsvm.path_0.1.0.tgz, r-release (x86_64): rocsvm.path_0.1.0.tgz, r-oldrel (x86_64): rocsvm.path_0.1.0.tgz

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