This question came up while I'm working on a related issue in mlflow.
Right now I use the time aware modeling/python api in the format of providing a dataframe
and then I get a return dataframe like
let's say it's a window of 60 days (so I provide 60 records), and a prediction interval of 14 days (so I get returned 14 records)
is the time aware platform meant to be used like this (making a prediction for a single subject/single prediction at a time)? It feels so jarring, considering that the not-time-aware seems conducive to making millions of predictions at a time.
follow up question is what kind of big-data/large amount of prediction use cases there are for time series that can be done on this platform?