Are there any working examples using the
Coregionalize kernel for multi-output? I did not see anything on the repo.
I assume it is supposed to be used like this?
K = gp.kernels.Sum( gp.kernels.Matern32( input_dim=1, variance=v, lengthscale=ls, ), gp.kernels.Coregionalize( input_dim=1, rank=y.shape ) )
Having done this, how do you access its output? when I call
model() on the resulting GPRegression, I only get 1-D output, whereas I was expecting 2-D (where the second dimension is the size of
Any guidance most welcome.