DA-RNN-in-Tensorflow-2-and-PyTorch

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Hi, I wonder how I can make a forecast without using y_hist in the model. I would like to make a forecast using a recursive method. (forecasts based on the prediction of the model from the previous time step) instead of a teacher forcing.

This repo is just an experiment to implement the model in the paper, but the paper did not mention recursive prediction.

So, I understand that if I want to make a multi step prediction, i should use single-shot approach and set accordingly ydim. At the same time, when making a forecast (in future), should I already know y-hist? This is very confusing. Thank for help.

We could move discussion to #2 which is the exact same topic?

At the same time, when making a forecast (in future), should I already know y-hist

That is what DA-RNN does