CODEWITHSUNDEEP
matlab
Learn12
Learn12

Reputation: 113

MATLAB - How to set sigma in templateSVM

I have a dataset with multiple labeled vectors and I wanted to perform a multi-class SVM with RBF Kernel with the integrated function in MATLAB called 'templateSVM'.

To do so, I use the templateSVM function with the following command: 

t = templateSVM('BoxConstraint', 1, 'KernelFunction', 'rbf')

The problem is that I cannot find how to set the 'sigma' parameter.

Thanks to previous computations, I know that C=1 and sigma=8 are the best parameters to get the best results. Not knowing how to set sigma leads me to awful results.

Would you know how to set this parameter?

Thanks a lot in advance.

Upvotes: 0

Views: 899

Answers (2)

Ra'na Sadeghi
Ra'na Sadeghi

Reputation: 71

I know it's an old question, but the answer would be useful for new users. Link below can answer the question: https://www.mathworks.com/matlabcentral/answers/336748-support-vector-machine-parameters-matlab

"setting SIGMA": Use the 'KernelScale' name-value pair.

Upvotes: 2

zelanix
zelanix

Reputation: 3562

Unfortunately the options available with templateSVM seem to be quite limited (I had this problem myself and couldn't find a solution). There are some crucial options (such as the RBF sigma parameter) that do not seem to be available with templateSVM but are available with svmtrain.

I know that this isn't a real answer to your question, but I suggest that you look into using libsvm instead - it is very configurable and integrates well with Matlab.

Upvotes: 1

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