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# neural-forecast
s
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c
Hi @허성민! 1. Can you try running our examples on exogenous variables: https://nixtla.github.io/neuralforecast/examples/exogenous_variables.html. There might be an issue with your data or the way you are passing the variables. 2. Yes, adding more training iterations might help to converge. Remember adding a validation set (
val_size>0
) and early stopping (
early_stop_patience_steps>0
) to prevent overfitting. 3. Yes, its more than enough! We have examples where
NHITS
produce SOTA results with a lot less records (see the Getting Started with AirPassengers for example).
u
I received your answer well. As you mentioned, I tried again using the sample code and was able to get the result normally. Thank you.