Description:

The software solves the SVM optimization problem.

That is, given a matrix X of examples (each row is an exmaple) and a column vector y of labels in {+1,-1}, the software finds the vector w that minimizes (using Matlab notation):

lambda/2 w'*w + 1/m * sum(max(0,1- y' * (X*w)))

The instances and labels file should be in SVM-Light format.
See: http://svmlight.joachims.org/

Current implementation does not include kernels and works best if the instances are sparse.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Linux, Macosx, Unix

Data Formats: None

Tags: Svm

Archive: download here

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