Spec Status:
This package provides a Ruby bindings to the LIBSVM 1 library. SVM is a machine learning and classification algorithm, and LIBSVM is a popular free implementation of it, written by Chih-Chung Chang and Chih-Jen Lin, of National Taiwan University, Taipei. See "Programming Collective Intelligence," 2 among others, for a usage example.
Note: There exist two other Ruby bindings for LIBSVM. One is named Ruby SVM, written by Rudi Cilibrasi. It is hard to find now. The other, more actively developed one is libsvm-ruby-swig by Tom Zeng 3, which is built using SWIG.
None. Libsvm is bundled with the project. Just install and go!
Currently includes libsvm version 3.12.
gem install rb-libsvm
require 'libsvm'
# This library is namespaced.
problem = Libsvm::Problem.new
parameter = Libsvm::SvmParameter.new
parameter.cache_size = 1 # in megabytes
parameter.eps = 0.001
parameter.c = 10
examples = [ [1,0,1], [-1,0,-1] ].map {|ary| Libsvm::Node.features(ary) }
labels = [1, -1]
problem.set_examples(labels, examples)
model = Libsvm::Model.train(problem, parameter)
pred = model.predict(Libsvm::Node.features(1, 1, 1))
puts "Example [1, 1, 1] - Predicted #{pred}"Written by C. Florian Ebeling. This software can be freely used under the terms of the MIT license, see file MIT-LICENSE.
This package includes the source of LIBSVM, which is free to use under the license in the file LIBSVM-LICENSE.
http://neovintage.blogspot.com/2011/11/text-classification-using-support.html
http://www.igvita.com/2008/01/07/support-vector-machines-svm-in-ruby/