function demsvm3()% DEMSVM3 - Sample code for the use of SVMCV (parameter selection) % %   This function is not meant to be executed!%%   Given a data set with examples X and labels Y.%   First, create the SVM structure: Use RBF kernel with initial%   parameter value 1.%     NET = SVM(size(X, 2), 'rbf', [1], 1);%   Select best RBF parameter in the range [0.1 10]:%     NET = SVMCV(NET, X, Y, [0.1 10]);%   Make a more accurate search in the parameter space:%     NET = SVMCV(NET, X, Y, [0.4 0.8], 1.1);%   If you want to test only a few points:%     NET = SVMCV(NET, X, Y, [0.1 0.5 1 5 10]);%   The default setting is to use 10fold cross validation. You might want%   to use 7fold CV, by running%     NET = SVMCV(NET, X, Y, [0.1 0.5 1 5 10], 0, 7);%   If you are lucky and have some extra validation data XVAL, YVAL%   available and want to set the parameter based on the validation set%   error:%     NET = SVMCV(NET, X, Y, [0.1 0.5 1 5 10], 0, 1, XVAL, YVAL);%% See also SVM, SVMTRAIN%% % Copyright (c) by Anton Schwaighofer (2001)% $Revision: 1.1 $ $Date: 2001/08/30 13:23:41 $% mailto:anton.schwaighofer@gmx.net% % This program is released unter the GNU General Public License.% fprintf(['This function is not meant to be executed!\n' ...         'Have a look at the help text instead...\n']);