All. I want to forecast sales, but the data is in the following format: different geo-locations have the same sales date, say I have three locations with three weeks of sales data, all three locations have the same dates. My question is whether I should create a unique N-BEATS model for each location. It also has some categorical features, aside from one-hot, are there any other ways to use categorical features using the darts library like in PyTorch forecasting?
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