Package: liquidSVM
Type: Package
Title: A Fast and Versatile SVM Package
Version: 1.0.1
Date: 2017-03-01
Author: Ingo Steinwart, Philipp Thomann
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>
Maintainer: Philipp Thomann <philipp.thomann@mathematik.uni-stuttgart.de>
Description: 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.
URL: http://www.isa.uni-stuttgart.de/software/R
License: AGPL-3
Depends: R (>= 2.12.0), methods
Suggests: knitr, rmarkdown, deldir, testthat
Enhances: mlr, ParamHelpers
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-03-01 23:24:39 UTC; thomapp
Repository: CRAN
Date/Publication: 2017-03-02 14:37:42
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 06:44:41 UTC; windows
Archs: x64
