svmadmm

Package: svmadmm
Title: Linear/Nonlinear SVM Classification Solver Based on ADMM and
IADMM Algorithms
Version: 0.3
Author: Ben DAI <bendai2-c@my.cityu.edu.hk>; Junhui Wang <j.h.wang@cityu.edu.hk>
Maintainer: Ben DAI <bendai2-c@my.cityu.edu.hk>
Description:
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).
Depends: R (>= 3.2.2), kernlab
License: GPL-2
LazyData: true
Repository: CRAN
NeedsCompilation: yes
Packaged: 2016-03-29 05:08:45 UTC; ben
Date/Publication: 2016-03-29 10:50:29

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'svmadmm' ...
** package 'svmadmm' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c kerneliadmm.c -o kerneliadmm.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c linear_math.c -o linear_math.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c linearadmm.c -o linearadmm.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c lineariadmm.c -o lineariadmm.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o svmadmm.so kerneliadmm.o linear_math.o linearadmm.o lineariadmm.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/svmadmm/libs
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'svmadmm'
    finding HTML links ... done
    svm.admm                                html  
    svm.predict                             html  
** building package indices
** testing if installed package can be loaded
* DONE (svmadmm)
Making 'packages.html' ... done