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abcde-1447 avatar abcde-1447 commented on September 15, 2024

@jjwow2 My understanding is time embedding has 6 dimensions, see this class:

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jakegrigsby avatar jakegrigsby commented on September 15, 2024

Yeah the 6 is pretty arbitrary, it comes from dividing calendar dates into (Year, Month, Day, Hour, Minute, Second). Some datasets use all 6 values even when they don't need them (when data is always at daily intervals, for example). I think the traffic datasets are the only ones that are not in this format and that's just to get a fair comparison to prior work. IIRC Metr-LA and Pems-Bay just have hour, and day of the week variables.

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 avatar commented on September 15, 2024

Thank you! I was able to implement my own dataset successfully with this information but might be removing the seconds embedding in the future.

Overall the results are pretty good (.09 RMSE), but sometimes the pytorch lightning test method returns some non-sensical results, which I need to figure out.

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