liquidSVM (1.2.1)

0 users

A Fast and Versatile SVM Package.

http://www.isa.uni-stuttgart.de/software/
http://cran.r-project.org/web/packages/liquidSVM

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.

Maintainer: Philipp Thomann
Author(s): Ingo Steinwart, Philipp Thomann

License: AGPL-3

Uses: deldir, testthat, knitr, rmarkdown
Enhances: ParamHelpers, mlr

Released 2 months ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of liquidSVM yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for liquidSVM on google, google scholar, r-help, r-devel.

Visit liquidSVM on R Graphical Manual.