I am trying to learn gaussian process by using
GPyTorch to fit a
Gaussian Process Regression model. However, I can't figure out a way to combine different kernels as shown in
sklearn implementation of gaussian process. I am using GPyTorch as it is more flexible and have lot more kernels that one can play with compared to
Any help, particularly with code snippet would be very useful.