hi I'm studying anomaly detection of NuPIC. But I don't know how to calculated anomaly likelihood clearly. From some vedio and webpages, It seems like that anomaly likelihood is a supplement of anomalyscore. Traditional offline anomaly detection method can calculate anomaly from back to front. But online anomaly detection method can't do that. So anomaly likelihood is a reference of anomaly score, to detect whether the high score is really anomaly or not. I don't know whether my opinion is right or not. I read the sourcecode about anomaly likelihood but I'm sorry that I can't understand the specific steps about computing it. How often to calculate it? We get a normal distribution of anomaly score, and likelihood is a probability that current anomaly score bigger than movingaverage. Is it right? Can you tell me in detail? Hoping for your reply.
--yajingfu
