http://www.ece.umn.edu/users/cherkass/ee4389/SVR.html
'via Blog this'
Plot the model
X = 0:0.01:1;
X = X';
y = ones(length(X), 1);
y_est = svmpredict(y, X, model);
h = plot(trn_data.X, trn_data.y, 'ko', tst_data.X, tst_data.y, 'kx', X, y_est, 'r--');
legend('Training', 'Test', 'Model');
y1 = max([trn_data.y; tst_data.y]);
y2 = min([trn_data.y; tst_data.y]);
axis([0 1 y2 y1]);
Great Article
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