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machine-learningweka

Weka Machine Learning Package - SVM

I am using the Weka SMO (Support Vector Machines) for Machine Learning. I was trying to optimize the "C" and the "gamma" parameters. I was reading the following documentation:

http://weka.wikispaces.com/Optimizing+parameters

I was trying to follow the "Optimizing SMO with RBFKernel (C and gamma)" section, but I couldn't figure out how I could set the "XProperty" and "YProperty". I would appreciate it if somebody could please let me know how I could optimize the parameters. I was using the GUI tool. Can I use this as part of the weka command for linux.

Thanks.

Solution

  • yes you can use them in command line. they are basically -C and -G parameters in this example:

    weka.classifiers.functions.SMO -C 2.0 -L 0.0010 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.0"