Hello team, me again. I was playing with the new AutoML in MLForecast, but I'm having issues using exog features. I try to pass these feature in the init config but I get this error: TypeError: fit() got an unexpected keyword argument 'dynamic_features' Why I define the exog in the fit config? Because if I just use the X_df in the predict I get an error that my feature were used as static during fit. any idea on how to solve this?

Hey. If all of your features are dynamic you have to provide

fit_config=lambda trial: {'static_features': []}