YaohuiZeng/bigSVM: Solution Paths of Sparse Support Vector Machine with Lasso or Elastic-Net Regularization For Big Data in R
Version 0.0-2

Fast algorithm for fitting solution paths of sparse linear SVM with lasso or elastic-net regularization to generate sparse solutions and extend model fitting with big data that cannot be fully loaded into main memory.

Getting started

Package details

AuthorYaohui Zeng [aut,cre], Congrui Yi [ctb]
MaintainerYaohui Zeng <[email protected]>
LicenseGPL-3
Version0.0-2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("YaohuiZeng/bigSVM")
YaohuiZeng/bigSVM documentation built on June 3, 2017, 9:51 a.m.