hi guys, i am fitting some ML models (linear regression and xgboost) to predict my multiple time series. i wonder if there is documentation or some resources for feature engineering and hyperparamter tuning, especially with respect to lag variables?

Hey. It depends on the data, we have some conservative defaults based on the seasonality in the auto module

perfect, thank you!