classyfire (0.1-2)

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Robust multivariate classification using highly optimised SVM ensembles.

http://cran.r-project.org/web/packages/classyfire

A collection of functions for the creation and application of highly optimised, robustly evaluated ensembles of support vector machines (SVMs). The package takes care of training individual SVM classifiers using a fast parallel heuristic algorithm, and combines individual classifiers into ensembles. Robust metrics of classification performance are offered by bootstrap resampling and permutation testing.

Maintainer: Eleni Chatzimichali
Author(s): Eleni Chatzimichali <ea.chatzimichali@gmail.com> and Conrad Bessant <c.bessant@qmul.ac.uk>

License: GPL (>= 2)

Uses: boot, e1071, ggplot2, neldermead, optimbase, snowfall, RUnit, knitr

Released over 2 years ago.


2 previous versions

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