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Since the anomaly-transformer uses almost similar solver code I was able to bring in the model. On the NIPS TS SWAN dataset using the same parameters as DCdetector I was able to get a comparable F1 score. ~71 F1 for Anomaly Transformer vs ~73 for DCdetector. Which is much better than what you have listed for Anomaly-Transformer in your result4.jpg image.
The text was updated successfully, but these errors were encountered:
Since the anomaly-transformer uses almost similar solver code I was able to bring in the model. On the NIPS TS SWAN dataset using the same parameters as DCdetector I was able to get a comparable F1 score. ~71 F1 for Anomaly Transformer vs ~73 for DCdetector. Which is much better than what you have listed for Anomaly-Transformer in your result4.jpg image.
Thanks for your query. I wonder if you tried adjusting the hyperparameters. I just ran it quickly on my other server, and it matched the result on paper.
Since the anomaly-transformer uses almost similar solver code I was able to bring in the model. On the NIPS TS SWAN dataset using the same parameters as DCdetector I was able to get a comparable F1 score. ~71 F1 for Anomaly Transformer vs ~73 for DCdetector. Which is much better than what you have listed for Anomaly-Transformer in your result4.jpg image.
The text was updated successfully, but these errors were encountered: