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: 0.1
Depends: R (≥ 3.2.2), kernlab
Published: 2016-03-07
Author: Ben DAI; Junhui Wang
Maintainer: Ben DAI <bendai2-c at my.cityu.edu.hk>
License: GPL-2
NeedsCompilation: yes
CRAN checks: svmadmm results

Downloads:

Reference manual: svmadmm.pdf
Package source: svmadmm_0.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: not available