liquidSVM: A Fast and Versatile SVM Package
Version 1.2.1

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.

Package details

AuthorIngo Steinwart, Philipp Thomann
Date of publication2017-07-19 21:00:12 UTC
MaintainerPhilipp Thomann <[email protected]>
LicenseAGPL-3
Version1.2.1
URL http://www.isa.uni-stuttgart.de/software/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("liquidSVM")

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liquidSVM documentation built on July 20, 2017, 1:02 a.m.