after get your guides/advices @marty1885 @sheiser1… i have run successfully the anomaly, anomalylikelihood, loglikelihood for hotgym dataset ( i use agorithms not OPF ). I tried change some paramether in scalar encoder, TM, anomly() and anomalylikelihood() ( eg: resolution, permernace increase/decrase, slidingwindow , learningPeriod …) and i got different anomaly detection results. I would like to check the right anomaly from the dataset.
I have some question below :
- As i search and read in this forum , there is no reference result for hotGym datasets. Is it right ?
- I read the NAB. I am using python 2.7. i found this link https://github.com/numenta/NAB/tree/master/nab/detectors/numenta
Is this link is right for my python 2.7, Nupic and algorithm ? if i use this guide, can i check my algorithm with my own parameter ?
- Or can i use 1 dataset (datafile) like this https://github.com/numenta/NAB/blob/master/data/realKnownCause/machine_temperature_system_failure.csv
(i see this datafile look like HotGym datafile) and then run my algorithm and check the result. But how can i know my anomaly detection result is right or not ? Or i check maunally with the result file https://raw.githubusercontent.com/numenta/NAB/master/results/numenta/realKnownCause/numenta_machine_temperature_system_failure.csv
–> but i dont know what is exacly anomly point in this file
Thank you very much