SVM toolboxes

June 10, 2007 by Sandro Saitta
Filed under: support vector machine, svm, toolbox 

Support Vector Machine (SVM) is a popular machine learning technique proposed by Vapnik and co-workers in 1992. I know that several existing tools are available for SVM such as:

  • MySVM
  • SVMlight
  • Torch
  • LibSVM

I’m curious to know which of these toolboxes you have used and liked (for those of you who have done SVM). If you think at another toolbox, feel free to comment as well.

P.S. Since I have to go to the army, Data Mining Research will not be updated the following three weeks. I’m looking forward to see you in July.

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Comments

4 Comments on SVM toolboxes

  1. damien françois on Tue, 12th Jun 2007 5:06 pm

    2. Hello,

    actually, for regression purposes (function approximation), I like to use the LS-SVMLab (http://www.esat.kuleuven.ac.be/sista/lssvmlab/) It implements least squares support vector machines, which I prefer over epsilon-svm or nu-svm, (but this is a personnal choice).

    damien

  2. Anonymous on Thu, 21st Jun 2007 4:32 pm

    3. or shogun, which comes with many SVM implementations …

  3. Sergio Saludes on Fri, 29th Jun 2007 9:51 am

    4. I have used LibSVM for regression and one-class classification. Sometimes I have use the e1071 package for R, but it is basically the LibSVM toolbox.

  4. Sandro Saitta on Mon, 16th Jul 2007 4:27 pm

    5. Thanks for your comments. On my side, I’m using the Statistical Pattern Recognition Toolbox for Matlab and it is quite easy to use. However, I don’t know about its computational efficiency.

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