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For custom dataset #27
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Thanks for your attention. We will release a colab to help people use our model on custom data. Please keep watching this repo. |
Actually there only 4 tensor that you need to figure the meaning of. And according to data/data_loader.py, I believe there shape are:
Model arguments are more puzzling. Though I got some hints from main_informer.py.
I not sure what label_len means. As far as I know, output_seq_len=label_len+pred_len. And in the training process zeroing x_dec[:,-pred_len:,:] before calling model.forward().
However, I think this means dec_in=c_out, so I'm confused. Anyway, since label_len=0 also works, It doesn't matter to much. |
Yes, |
Thank you for the explanation. I'm not sure if I understand it correctly. Please check it. I have several questions. Sorry if they are stupid.
|
Understanding: Accurate! |
Congratulations on the best paper award!
I'm new to the transformers with time-series data and just found this cool paper!
It will be great if you could provide an example to show how to use the custom data.
Thanks in advance!
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