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MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

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The network "dagmm" is built using Tensorflow 1.x and it is incompatible to tensorflow 2.x

Can you tell how we should prepare new datasets to use MTAD? This work is marvelous, and I would like to try other datasets, but it is unclear how the...

Can you tell me the file for processing the data

In the evaluation of binary metrics, precision_score, recall_score and f1_score get label and score in wrong order: ** > def compute_binary_metrics(anomaly_pred, anomaly_label, adjustment=False): > if not adjustment: > eval_anomaly_pred =...

Hello, the F1 scores obtained by OmniAnomaly on the SMAP and MSL datasets in your paper are very different from the F1 scores in the original paper. What is the...

I was reviewing some of the various included models as well as the general benchmarking toolset and wasn't clear on licensing information. I see there are a few files that...