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If you want to predict just one step ahead, I would assume that the results wouldn't differ much compared to I would set |
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I would like to build a
DeepVAR
model that predicts only one-step ahead. Given my hourly data, this means I would only like to predict the next hour.I am not sure how
prediction_length
works exactly and whether it is advisable to useprediction_length=1
or to build a model with a larger prediction_length but just use the first prediction.I see three different options for my use case:
prediction_length=1
prediction_length=1
but context_length > 1prediction_length = 24
, and take only first predictionAny insights?
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