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

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Sepp
Sepp 2016 年 5 月 4 日
編集済み: Sepp 2016 年 5 月 4 日
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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