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hey @Tia Guo! Regarding the first warnings, we are working on them, you can follow the discussion on this issue. Regarding the ‘tiny datasets’ error, it arises if the series is too short (usually less than 4 or 5 observations). In those cases, we recommend using the

fallback_model

argument of the

StatsForecast

class to prevent the pipeline from crashing. That model will be used when an error appears. Here’s an example:

StatsForecast(..., fallback_model=Naive())