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.
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.