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ML4ITS / mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
MIT License
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about the example output,please!!! #38

Closed goodman233 closed 7 months ago

goodman233 commented 7 months ago

The code is written very well and looks very comfortable. Thank you very much. However, I have a question. I trained using the default args on the SMD dataset, and the results obtained were quite different from the "example output". Is it possible that the training parameters for the two are different? If so, could you provide the parameters for the "example output"? Thank you very much.

goodman233 commented 7 months ago

I understand, it was my carelessness. The configuration parameters for "example output" have already been written in "config. txt"