svmadmm: Linear/Nonlinear SVM Classification Solver Based on ADMM and IADMM Algorithms

Solve large-scale regularised linear/kernel classification by using ADMM and IADMM algorithms. This package provides linear L2-regularised primal classification (both ADMM and IADMM are available), kernel L2-regularised dual classification (IADMM) as well as L1-regularised primal classification (both ADMM and IADMM are available).

Version: 0.3
Depends: R (≥ 3.2.2), kernlab
Published: 2016-03-29
Author: Ben DAI; Junhui Wang
Maintainer: Ben DAI <bendai2-c at my.cityu.edu.hk>
License: GPL-2
NeedsCompilation: yes
CRAN checks: svmadmm results

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Reference manual: svmadmm.pdf
Package source: svmadmm_0.3.tar.gz
Windows binaries: r-devel: svmadmm_0.3.zip, r-release: svmadmm_0.3.zip, r-oldrel: svmadmm_0.3.zip
OS X El Capitan binaries: r-release: svmadmm_0.3.tgz
OS X Mavericks binaries: r-oldrel: svmadmm_0.3.tgz
Old sources: svmadmm archive

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