How to plot a nonlinear function in Support Vector Regression?

2017 3 15
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更新时间：2017 3 15
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I want to plot the solved function of the SVM Regression method. The following code works fine with a linear Kernel, but not with nonlinear Kernels like "gauss" or "polynomial":
SVMR = fitrsvm(X,y,'KernelFunction','polynomial');
Y_response =(1/(SVMR.KernelParameters.Scale))*X*SVMR.Beta+SVMR.Bias;
plot(X,Y_response,'b');
i am getting the following error: "Error using * Inner matrix dimensions must agree."
Can somebody maybe help me with this? Would be so kind.
And is the loss function the only way to get a value of the goodness of the fit in SVM regression?
Kind regards, Sebastian Kaufmann

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