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@fede (nixtla) (they/them) can help with that :)

Thanks, Max! Hoping to hear from @fede (nixtla) (they/them)!

Hi @Mário Amorim Lopes! For the moment, these models don’t store additional information, the functions simply take a time series and return the forecasts (this design is highly efficient in parallel tasks). We are currently working on fit-predict classes. 🙂

Thanks for the feedback, @fede (nixtla) (they/them) (same name as by second son, btw!). That’s what I suspected by looking at the source code 🙂 Getting the model fit is useful for calculating in-sample error metrics. I’m forecasting intermittent/lumpy products (5k SKUs times ~40 local pharmacies) and I need a way to compare croston, tsb, etc. accuracy.