Closed josuelandinez closed 4 years ago
Hi @josuelandinez --
Use the FixedNoiseGaussianLikelihood
, which replaced the functionality that used to be provided by WhiteNoiseKernel
.
With that being said, if you are only adding a diagonal component to your kernel to stop numerical issues, GaussianLikelihood
already has a minimum noise value that gets added that you can change (i.e., the default constraint is GreaterThan(1e-4)
). If you are still having numerical problems, it's likely due to improper data normalization.
Hi,
I tried to use the WhiteKernelNoise:
a=gpytorch.kernels.WhiteNoiseKernel()
and get:
AttributeError Traceback (most recent call last)