I think you might have misinterpreted the question. The question is a technical one about about the score_batch function. Specifically how can I use score batch when the input data size is size K rows and the return is size L rows. (not 1 row = 1 prediction) Did I phrase it confusingly?

The only overlapping part I see on the notebook you provided is that both my data and the notebook uses time series data and that notebook has an example of using score_batch, albeit in the way I already mentioned in the question. I don't even think that model uses lagged data in any form. Am I missing something subtle?