liquidSVM: A Fast and Versatile SVM Package

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non- parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, inclusion of a variety of different classification and regression scenarios, and full flexibility for experts.

Version: 1.0.1
Depends: R (≥ 2.12.0), methods
Suggests: knitr, rmarkdown, deldir, testthat
Enhances: mlr, ParamHelpers
Published: 2017-03-02
Author: Ingo Steinwart, Philipp Thomann
Maintainer: Philipp Thomann <philipp.thomann at mathematik.uni-stuttgart.de>
License: AGPL-3
Copyright: Ingo Steinwart <ingo.steinwart@mathematik.uni-stuttgart.de>, Philipp Thomann <philipp.thomann@mathematik.uni-stuttgart.de>, Mohammad Farooq <mohammad.farooq@mathematik.uni-stuttgart.de>
URL: http://www.isa.uni-stuttgart.de/software/R
NeedsCompilation: yes
Citation: liquidSVM citation info
Materials: README
CRAN checks: liquidSVM results

Downloads:

Reference manual: liquidSVM.pdf
Vignettes: liquidSVM Demo
liquidSVM Documentation
Package source: liquidSVM_1.0.1.tar.gz
Windows binaries: r-devel: liquidSVM_1.0.1.zip, r-release: liquidSVM_1.0.1.zip, r-oldrel: liquidSVM_1.0.1.zip
OS X El Capitan binaries: r-release: liquidSVM_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: liquidSVM_1.0.1.tgz
Old sources: liquidSVM archive

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