jackliu333

Is there any update on this thread? I'm also facing the same issue.

Can you elaborate on v=0 for the numerator? Since the final loss goss through cross-entropy function, it seems the numerator also needs to take the same value as its corresponding...

Now I see it. The additional addition in the logic of the numerator is gone because it becomes zero upon evaluation due to equal weights for the same class.

It could be this implementation ignores the covariance between deep features.

Does fit_gpytorch_model(mll) only work with CPU and not GPU? I have to move mll from cuda to CPU, run fit_gpytorch_model(mll) and then move back to GPU to complete one BO...

Yes I met the following error: ``` from botorch.fit import fit_gpytorch_mll fit_gpytorch_mll(mll); --------------------------------------------------------------------------- MDNotImplementedError Traceback (most recent call last) [/usr/local/lib/python3.8/dist-packages/botorch/utils/dispatcher.py](https://localhost:8080/#) in __call__(self, *args, **kwargs) 92 try: ---> 93 return func(*args,...

May I know if the solution works for MacOS as well? @cuongpxu I followed the solution but met the error below: function definition in pxd file must be declared 'cdef...