Hello all, I have two questions about the default C parameter for linear SVM classifiers in pymvpa (/ LibSVM).
First, I'd like a little more information about how the parameter is chosen by default. The help says that the default value is -1, and that "In linear kernel, negative values provide automatic scaling of their value according to the norm of the data," but I didn't find that particularly helpful (What does "according to the norm of the data" mean?) Second, does anyone have any experience choosing a C parameter by more rigorous methods (cross-validated parameter selection)? Does choosing an optimal C value make a big difference? THANKS, Mark PS - I'm still using the 0.4 version of pymvpa - has setting of the default C parameter changed since then? I'm using the LibSVM implementation of the LinearCSVMC classifier on MacOS X 10.5.8. _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
