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).

Install the latest version of this package by entering the following in R:
install.packages("svmadmm")
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

View on CRAN

Files

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

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

Please suggest features or report bugs with the GitHub issue tracker.

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