I followed the example for forecasting. I kept the prediction window as 2 to forecast 2 timesteps. It is impossible to calculate the MSE in forecasting as you won't have the values for the future timesteps. How is the forecasting done here? Do we drop the last n timestep values and use the previous data to forecast n timesteps?
If yes, how do we not remove the previous values and forecast the data using all observations for 'n' timesteps?
I followed the example for forecasting. I kept the prediction window as 2 to forecast 2 timesteps. It is impossible to calculate the MSE in forecasting as you won't have the values for the future timesteps. How is the forecasting done here? Do we drop the last n timestep values and use the previous data to forecast n timesteps?
If yes, how do we not remove the previous values and forecast the data using all observations for 'n' timesteps?