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

1 visualización (últimos 30 días)
Sepp
Sepp el 4 de Mayo de 2016
Editada: Sepp el 4 de Mayo de 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?

Iniciar sesión para responder a esta pregunta.

Respuestas (0)

Categorías

Más información sobre Statistics and Machine Learning Toolbox en Help Center y File Exchange.

Etiquetas

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by