DA-RNN-in-Tensorflow-2-and-PyTorch
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A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)
Added Masking Layer support in Encoder+Decoder
Hi, I wonder did you still include y_T here? I dont see the code which abandan y_T should line 439 be: Y = inputs[:, T-1, -self.y_dim:] so that it matches...
I am interested in your model, I have 2000x6 physiological signals, I would like to try to use your model for binary classification, is it possible? According to the paper,...
Hi, I wonder how I can make a forecast without using y_hist in the model. I would like to make a forecast using a recursive method. (forecasts based on the...
Hey, thanks for providing this nice library! :) Running your example I was wondering if it is possible to change the length of the predictions. As far as I have...