Hi, I was using Fine tuning option in TimeGPT on a monthly data set. I was getting this error that each unique time series should have atleast 36 months data.. But in reality, very often we find time series with less than 3 years/36 months history. How to navigate through it? Any work around? Like, if i have 1000 time series in total & if 700 have >= 36 months, i can fine tune on them & then use the model for zero shot inferencing on other 300 time series or something like that?

No, at this time, this is not something you can do. Right now, finetuning requires a minimum amount of data, and finetuning runs only when you specify it in the

predict

call.

ok, thank you!