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 scikit-learn
.
Any help, particularly with code snippet would be very useful.
Thank you.