How to customize SVM kernel parameters in Matlab

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Ikra89
Ikra89 il 9 Giu 2013
Commentato: behruz il 5 Lug 2015
Hi
I want to ask about how to customize SVM kernel parameters in Matlab.
For ex: I have linear kernel, polynomial kernel, and RBF kernel with:
C = 0.2;
gamma = 0.8;
r = 0.05;
d = 3;
My question is how do I customize it using svmstruct.
1. linear: ??
2. polynomial: ??
3. RBF:
svmstruct = svmtrain(data, groups, 'Kernel_Function', 'rbf', 'RBF_Sigma', 0.2, 'BoxConstraint', 0.8);
CMIIW about how to customize RBF kernel.
I'd really appreciate if anybody could help my research. Thanks.
Regards
Ikra

Risposte (2)

Ikra89
Ikra89 il 10 Giu 2013
anybody can help? :)

Ahmed
Ahmed il 10 Giu 2013
Documentation given by
help svmtrain
should give you all information you need. What is the meaning of your variable r?
1. the linear kernel has only parameter C
svmstruct = svmtrain(data, groups, 'Kernel_Function', 'linear', 'BoxConstraint', 0.2);
2. polynomial has parameters C and polyorder
svmstruct = svmtrain(data, groups, 'Kernel_Function', 'polynomial', 'polyorder',3,'BoxConstraint', 0.2);
3. RBF
you might have mixed up the constants C and gamma in your code
  6 Commenti
behruz
behruz il 4 Lug 2015
hi the combination of C and gamma how is implemented? in fitcsvnm or svmtrain we dont have any gamma factor how is the impact of it apllied to svm?

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