Like the title says the forecast generating takes a long time. I am updating the data (target and related data) and i already have pretrained a predictor. The target dataset is relatively small and it has granularity of 1 hour.
On each forecast generation it seems like the predictor retrains before it makes inference. I am trying to forecast 1 month ahead and the only solution I found is to reupload the data and make new forecasts with 24 hour forecast horizon( this is used for training the predictor).
The upload/import jobs/forecast generating and export take close to 1hour all together.
Is there anyway i can update the data and generate forecasts faster without letting the forecasting retrain on the newly added data?
