Open fedetask opened 4 years ago
The predicted variance can become negative when lots of points are added. I believe this is due to numerical approximation in inverting the kernel matrix. The issue seems to be very similar to the one discussed here
I'll come up with example code to reproduce the error soon
The predicted variance can become negative when lots of points are added. I believe this is due to numerical approximation in inverting the kernel matrix. The issue seems to be very similar to the one discussed here