Package: liquidSVM
Type: Package
Title: A Fast and Versatile SVM Package
Version: 1.2.4
Date: 2019-09-02
Author: Ingo Steinwart, Philipp Thomann
Copyright: Ingo Steinwart, Philipp Thomann, Mohammad Farooq
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,
    full flexibility for experts, and
    inclusion of a variety of different learning scenarios:
    multi-class classification, ROC, and Neyman-Pearson learning, and
    least-squares, quantile, and expectile regression.
URL: https://github.com/liquidSVM/liquidSVM
License: AGPL-3
Depends: R (>= 2.12.0), methods
Suggests: knitr, rmarkdown, deldir, testthat
Enhances: mlr, ParamHelpers
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-09-14 10:19:42 UTC; philippthomann
Repository: CRAN
Date/Publication: 2019-09-14 18:20:02 UTC
Built: R 3.6.3; i386-w64-mingw32; 2020-08-05 01:50:34 UTC; windows
Archs: i386, x64
