TPA-LSTM
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shunyaoshih
Temporal Pattern Attention for Multivariate Time Series Forecasting
Hi! I find the usage of "call" function should be like "cell.call(inputs, state)", but in the "TemporalPatternAttentionCellWrapper" class, the "call" function is not used, I don't understand the code well....
Vice nice project! But I'm confused with: 1. Why use CNN with the output of RNN, instead of original features to extract temporal information for each variables? Maybe you do...
when I change the data set to electricity and train, it will report a error by the `assert self.para.highway == self.para.attention_len` , but when I delete this line, it will...
Traceback (most recent call last): File "main.py", line 37, in main() File "main.py", line 16, in main graph, model, data_generator = create_graph(para) File "D:\study\keyan\paper\TPA-LSTM-master\lib\model_utils.py", line 32, in create_graph model =...
Hi! I'm interested in extracting the attention weights on each variable (I have 75 different variables) to determine the relative importance of each variable in predicting the output. How would...
Tried many ways, but logger only shows the code was run by CPU
The description in Section 4.2: “Convolutional operations yield $H^C \in \mathbb{R}^{n \times k}$ ” does not match the figure 2, which has $H^C \in \mathbb{R}^{m \times k}$. In addition, how...
### Introduction Hi, we are a group of students from the University of Toronto. We read the research paper and really like the model. Our motivation for this adaptation stems...
In the "_preprocess" function of the "TimeSeriesDataGenerator" class, why are there two types of normalization methods (specifically, the minmax normalization method for the "electricity" dataset; the other normalization method for...
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Temporal Pattern Attention for Multivariate Time Series Forecasting