SVMMaj (0.2.9)

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Implementation of the SVM-Maj Algorithm.

Implements the SVM-Maj algorithm to train data with support vector machine as described in Groenen et al. (2008) . This algorithm uses two efficient updates, one for linear kernel and one for the nonlinear kernel.

Maintainer: Hok San Yip
Author(s): Hoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov

License: GPL-2

Uses: dplyr, ggplot2, gridExtra, kernlab, reshape2, scales, xtable, testthat, magrittr

Released about 1 year ago.

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