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

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Sterling Baird
Sterling Baird 2021 年 4 月 15 日
コメント済み: Sterling Baird 2021 年 5 月 8 日
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

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回答 (1 件)

伟 张
伟 张 2021 年 5 月 8 日
If you have one more input, the software set a fixed kernalscale by default.Thus you don"t have to worry about this problem.
  2 件のコメント
伟 张
伟 张 2021 年 5 月 8 日
of course it is also up to what kernel function you choose
Sterling Baird
Sterling Baird 2021 年 5 月 8 日
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.

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