gasvn
commented
1 month ago For anomaly detection task on a single task, we follow existing works to do parameter sweeps to get the best setting. Here is the parameter and training log. It's possible that the results are not identical to the paper since results from these datasets in time series are not very stable. output.log
Hello, thank you very much for providing such an excellent idea and implementation. However, the performance of my anomaly detection run has not reached the level stated in your paper. Could you please offer me some suggestions? The dataset I'm currently using is the SMD dataset. My F1 score is 81.81, which is quite a bit lower than the 88.09 mentioned in your paper. If I want to achieve results similar to yours, what parts of the code should I adjust? I would greatly appreciate any advice you can give. The experimental environment is Ubuntu 22.04.3 LTS operating system, with an Intel® Xeon® CPU E5-2609 v4 @ 1.70GHz, two NVIDIA GeForce RTX 4090 GPUs, and 173GB of RAM.