I am a teaching assistant for a machine learning class and we are in the process of making an assignment to study SVMs. The problem is that our lab installations of Matlab do not have the statistics toolbox nor do they have installed liblinear or libsvm. While I understand that a local installation of the library can be done, I don't want to distract the student with this task before they can actually start the assignment. I am looking for suggestions for dealing with this problem. For instance, are there any simple implementations as m files in Matlab that students could simply include in their scripts?
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migrated from stats.stackexchange.com Oct 7 '13 at 14:45This question came from our site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. 

It turns out that using libsvm with Matlab is as simple as downloading it, unpacking it, and executing make.m in the matlab directory. The only caveat appears to be that this last step, executing make.m, must be done each time Matlab is started. 


quadprog
at your disposal, you could alternatively implement your own (inefficient) SVM solver. – Marc Claesen Oct 5 '13 at 17:01