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Python implementation of MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
hi Ritesh,
does that mean there is issue in the implementation? then when i run your code with the author's full data, it's getting very slow, while the C++ version completed in 10s, this python version showed 2h+ needed.
Another question is do you know how to decide the threshold for the anomaly score?
Thansk a lot!
Br, Shuai Ma
In origin paper anomaly score is in rage [0, 1], but in example it could be [0 - 60000+]. Why is is so? and how to adequately interpret such results?
Thank you.
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