amgonzalezd

> Is the problem that you think it's fitting the optimization config metrics differently than it would have if you hadn't passed it tracking metrics as well? Hey, im having...

Sure, here's the repro ``` # Define a SingleTaskGP with RBF Kernel class CustomGP(SingleTaskGP): def __init__( self, train_X: Tensor, train_Y: Tensor ) -> None: super().__init__( train_X=train_X, train_Y=train_Y, likelihood=None, covar_module=ScaleKernel(base_kernel=RBFKernel()), mean_module=None,...