How to customize SVM kernel parameters in Matlab
5 次查看(过去 30 天)
显示 更早的评论
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
0 个评论
回答(2 个)
Ahmed
2013-6-10
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 个评论
behruz
2015-7-4
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?
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Data Import and Analysis 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!