How to pass parameters to a custom kernel function in fitcsvm?

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Sepp
Sepp am 4 Mai 2016
Bearbeitet: Sepp am 4 Mai 2016
Hello
I'm using the fitcsvm method of Matlab for training a SVM classifier. Using the name-value pair 'KernelFunction', 'myKernel' it is possible to provide a custom kernel implementation. The kernel must be defined in a .m file in the following way
function G = kernel(U,V).
The only way I see for passing parameters to the kernel (like gamma for the Gaussian kernel) is to use global variables which is not so nice in the context of parallel execution.
Is there another possibility for passing parameters to the kernel?

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