Not an essential change, but it may provide some clarity.
Perhaps when defining covariance matrices / noise in the tutorials, we could use squares (eg. noise_covar = np.diag([2**2]) instead of np.diag([2])) so that it is clear that the user defines variances rather than standard deviations in model instantiations.
Not an essential change, but it may provide some clarity.
Perhaps when defining covariance matrices / noise in the tutorials, we could use squares (eg. noise_covar = np.diag([2**2]) instead of np.diag([2])) so that it is clear that the user defines variances rather than standard deviations in model instantiations.