I know that bayesopt uses fitrgp to create gaussian process in each iteration. But how bayesopt find the optimize kernel parameters of the Gaussian process regression in each step? Does it optimize kernel parameters at all? If not, what are the kernel paramters being used in each iteration?
I want to know the default configurations of bayesopt for the items above, I was not able to find my answer in the documentation.
Thank you in advance