Hello,

I am attempting to predict temperatures on a grid using a small dataset. Based on my research, I believe that Gaussian Processes would be the most effective approach. However, I am having trouble finding a package that accepts `X_train`

and `y_train`

as matrices (each row would describe a single experiment, parameters in `X`

, grid |> vec results in `y`

). Most of the packages available rely on the `AbstractGPs.jl`

package, which requires `y_train`

to be a vector of scalars.

I’m wondering if there’s a solution to this problem using a single model, or if I should define a separate model for each grid point. Any advice would be greatly appreciated.