kernel scale in svm ?
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In:
template = templateSVM(...
'KernelFunction', 'gaussian', ...
'KernelScale', 3.9, ...
'BoxConstraint', 1, ...
'Standardize', true);
modelSVM = fitcecoc(...
predictors, respones, ...
'Learners', template, ...
'Coding', 'onevsone');
Kernel scale here: represents gamma or sigma ?
回答（1 个）
Walter Roberson
2025-10-15
0 个投票
According to https://www.mathworks.com/matlabcentral/answers/516738-what-kernel-scale-in-svm-really-is#comment_983291
@Hiro Yoshino wrote
Kernelscale is literally a scaling parameter for the input data.
The input data is recommended to be scaled with respect to a feature before being applied to the Kernel function. When the absolute values of some features range widely or can be large, their inner product can be dominant in the Kernel calculation. So this kernelScale can be used to prevent this from happening. It also helps maintain the information.
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