How to customize SVM kernel parameters in Matlab
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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
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Risposte (2)
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
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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