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.
|Author||Eleni Chatzimichali <email@example.com> and Conrad Bessant <firstname.lastname@example.org>|
|Date of publication||2015-01-12 01:08:41|
|Maintainer||Eleni Chatzimichali <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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