I'm creating a small demo for anomaly detection based upon the OPF cpu example, but in this case with a memory metric. I have the Jupyter notebook here.
I'm doing also anomaly detection and I consistently have the effect that after the 50 first samples or so I get 100% of anomaly score for another 50 samples, and the the situation stabilizes back:
Does anybody knows if it is somehow related to a windowing problem? Maybe I have put any wrong parameter in the model?
Thank you very much in advance