When training, the number of inputs needs to be equal to the number of states. It seems to me that for n states, we should have n-1 inputs (last state doesn't have input). This also applies when running koopman where to output n states we should have an array teval of length n-1 instead of n.
When training, the number of inputs needs to be equal to the number of states. It seems to me that for n states, we should have n-1 inputs (last state doesn't have input). This also applies when running koopman where to output n states we should have an array teval of length n-1 instead of n.