Guassian Process Regression (fitrgp()): Setting KernelScale as a constant without specifying FitMethod as 'none'

I'd like to set KernelScale as constant similar to how ConstantSigma can be specified; however, if I choose FitMethod='none', then Beta and other variables aren't analytically solved for. Assuming this isn't a theoretically unsound request, how do I set KernelParameters ( KernelScale and Sigma) as fixed?

Related: How to check the kernel parameter values of a Gaussian process regression (GPR) model after training

Answer 1

[伟 张]

If you have one more input, the software set a fixed kernalscale by default.Thus you don"t have to worry about this problem.

[伟 张]

of course it is also up to what kernel function you choose

[Sterling Baird]

I think you misunderstand. I'd like to specify KernelScale and Sigma myself, not go with the default. But I want it to still solve for Beta, etc.