Hi! Enjoying using

statsforecast

, but I wonder if there's plans for more verbose logging from the models? I'm often getting a 'could not fit model' error, but unclear as to why that is

hi! thanks for letting us know about the problem. We are thinking of adding a functionality to the pipeline to consider a “safe model” (e.g. SeasonalNaive) to prevent this kind of errors. We’ve experienced the

could not fit model

problem working with

ETS

and intermittent time series, it this your case? You can find a solution here: https://github.com/Nixtla/statsforecast/issues/182

Yeah I kind of assumed that the zeros was the problem and added a small smoothing value - is this the only way to reach this particular error though?