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Precursor-of-Anomaly Detection
Hi I want to make custom data set and experiment. I'm going to experiment with anoshift dataset, but when I create train_seq_data.pt, train_y_data.pt, etc. with SWAT.py in the data set and turn the model, I can see that the train loss is not trained to zero.
Can you tell me what steps I need to go through to apply custom data set to this model?
Hi authors,
When comparing the code with your paper, I am confused about your proposed approach PAD. Specifically, I am confused about whether PAD requires the use of labels during the training phase or not. Upon reviewing line 465 of pad.py, it appears that batch labels were utilized during training. Could you provide clarification on whether PAD requires labels during training? Thanks a lot!
Regards,
Craig
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