J T10/23/2022, 2:31 AM
fede (nixtla) (they/them)10/23/2022, 2:59 AM
The main idea behind it is that you can pass a safe model in case that a main model fails. So, StatsForecast tries to fit the main models for each time series and if something fails, it will fit a safer model, for example
The code would be,
Please let us know if that works for your use case.
StatsForecast(models=AutoARIMA(), fallback_model=Naive(), extra params)
J T10/24/2022, 9:01 PM