I am trying to run the HTM anomaly detection algorithm from the NUPIC library in python. I have datasets spanning 22 days and consisting of telemetry information about devices. I have found a hotgym dataset implementation of HTM online, however am unable to pick which parameters to tweak in order to fit my data perfectly.
Additionally, is the Anomaly Score same as Anomaly Likelihood? If not, is there an example (sample implementation) of anomaly likelihood that I could reference to?
Params I am running anomaly detection with: