All computational results in the tutorial were generated using the Shogun-based Easysvm tool written in python. This toolbox is also available at a Galaxy-based webservice. An alternative implementation using PyML is also available.
Below we provide a minimal list of SVM packages. A fuller list can be found on the Kernel machines website and the Machine Learning Open Source Software site.
- Easysvm an easy-to-use SVM toolbox based on python and the Shogun toolbox
- PyML an easy-to-use python-based SVM toolbox
- Shogun toolbox a powerful toolbox for large scale data analysis including many SVM implementations with support for python, R, matlab and octave.
- LibSVM an SVM library with a graphic interface
- SVM-Light an implementation of SVMs in C
Copyright © 2008 A. Ben-Hur, C.S. Ong, S. Sonnenburg, B. Schölkopf, and G. Rätsch