Hello,

I am looking at the gradient computation in Gaussian Process Kernel module. My understanding is that there we are trying to compute $$\partial{K(x,x')}{\partial \theta}$$, where $$\theta$$ is a hyperparameter. However, I am not sure that is what is computed in the code:

For example, the ConstantKernel has:

While I think instead of filling in the constant value, we should fill in just 1.

Another example is the RBF kernel,

I think the gradient should be further divided by the length_scale.

It seems to me that rather than computing the gradient, we are computing gradient * hyperparameter here. Am I missing something?

Thanks!
Junteng