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Is there an optimal way to do point anomaly detection ?

Open karthikkrishnanv opened this issue 9 years ago • 1 comments

Does anyone know how to optimally use this to check if a given data point is an anomaly or not ? Specifically, the use case is to use 1-3 month, 1minute aggregated dataset as an input and decide if the next 1 minute datapoint is an anomaly or not. I am also interested to see if anyone has adapted this to make it an online anomaly detection engine. Appreciate any pointers. What I am doing right now is to call AnomalyDetectionTs with only_last='hr' for each and every incoming datapoint and it tends to be pretty slow.

karthikkrishnanv avatar Jun 12 '16 17:06 karthikkrishnanv

I'd also be interested in using it for this case so any feedback would be extremely helpful.

acorso522 avatar Jan 19 '17 18:01 acorso522