Yes, my data is just linearly increasing timesteps, while the targets were generated based upon a predefined function, and adding in gaussian white noise. It’s a 1D model of an Ornstein Uhlenbeck process. So, I should be splitting the data, ‘stacking’ as I have in the loop on both columns, and returning the ordered pair as a 100x1,100x1 tensor?