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View Code? Open in Web Editor NEWA Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Hi,
Thank you for sharing this implementation! I noticed that seq2seq.attention_decoder()
takes encoder_state
as its initial state, but the paper and one of the other implementation (Zhenye-Na/DA-RNN) initialized the decoder with zeros, so what the difference between them and why you implemented in this way?
Thank you again for the implementation.
Regards,
Ming
您好,请问可以达到文章中的结果。如若不能,请问哪里可以进行改进
May be a very basic question as I may be missing something.
Why use the observed data at previous step to predict next value? What kind of prediction model is this when we still need observations to make predictions during "prediction"/deployment stage?
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