How to classify using non-linear support vector machine

By using svmtrain() function and svmclassify() I got the results for linear svm. But for non-linear support vector machine I cannot get the output.

How to classify using non-linear kernels like RBF, Quadratic and polynamial kernels. Please explain how to use parameters.

svmStruct = svmtrain(data(train,:),groups(train),'rbf', 1, 'showplot',true); Warning: You specified radial basis function parameters but not a radial basis function kernel.

Answer 1

[Ilya]

svmStruct = svmtrain(data(train,:),groups(train),'kernel_function','rbf')