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, 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.

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Description file content

Package
liquidSVM
Type
Package
Title
A Fast and Versatile SVM Package
Version
1.2.2.1
Date
2019-01-10
Author
Ingo Steinwart, Philipp Thomann
Copyright
Ingo Steinwart, Philipp Thomann, Mohammad Farooq
Maintainer
ORPHANED
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
License
AGPL-3
Depends
R (>= 2.12.0), methods
Suggests
knitr, rmarkdown, deldir, testthat
Enhances
mlr, ParamHelpers
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2019-03-02 14:57:34 UTC; ripley
Repository
CRAN
Date/Publication
2019-03-02 15:44:27 UTC
X-CRAN-Original-Maintainer
Philipp Thomann
X-CRAN-Comment
Orphaned on 2019-03-02 as check issues were not corrected despite reminder.

install.packages('liquidSVM')

1.2.2.1

16 days ago

https://github.com/liquidSVM/liquidSVM

ORPHANED

AGPL-3

Depends on

R (>= 2.12.0), methods

Suggests

knitr, rmarkdown, deldir, testthat

Discussions