# lags and rolling window in Azure AutoML Time series forecasting

In the several parameters we can submit to the AutoML experiment, we have these ones:

1. target_logs;
2. target_rolling_window_size;

Can you explain with an example how the several forecasting algorithms works when these two parameters are set?

Thank you

automl_advanced_settings = {
'time_column_name': time_column_name,
'max_horizon': max_horizon,
'target_lags': 12,
'target_rolling_window_size': 4,
}