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Companion repo to Medium article titled "Implementing Seq2Seq Models for Efficient Time Series Forecasting"
Hey Max!
Just wanted to thank you for the awesome notebook. I've got a question about handling dec_targets
when they're out of sample and unknown. What's the correct approach to make the code work in this scenario? My plan is to have the first step of dec_inputs
and leave all the remaining parts as np.nan. I've experimented with a couple of strategies:
batch_dec_inputs[:,1:,:] = np.nan
resulted in an error.batch_dec_inputs[:,1:,:] = 0.0
significantly reduced the quality of the output. I was surprised by this because with teacher_force_prob=None
, these data points set to 0.0 shouldn't make any difference.Any insights on how to tackle this would be greatly appreciated!
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