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).

AuthorBen DAI <bendai2-c@my.cityu.edu.hk>; Junhui Wang <j.h.wang@cityu.edu.hk>
Date of publication2016-03-29 10:50:29
MaintainerBen DAI <bendai2-c@my.cityu.edu.hk>
LicenseGPL-2
Version0.3

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Files in this package

svmadmm
svmadmm/src
svmadmm/src/kerneliadmm.c
svmadmm/src/linearadmm.c
svmadmm/src/lineariadmm.c
svmadmm/src/linear_math.c
svmadmm/src/linear_math.h
svmadmm/NAMESPACE
svmadmm/R
svmadmm/R/svm.predict.R svmadmm/R/svm.admm.R
svmadmm/MD5
svmadmm/DESCRIPTION
svmadmm/man
svmadmm/man/svm.predict.Rd svmadmm/man/svm.admm.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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