I took some time off from working on HTM due to some other work but have come back to take a look at it again for streaming anomaly detection tasks. I’ve been reading some HTM papers and I have also come across the NAB corpus. I’m interested in trying to test HTM on some of the datasets in NAB. Right now I’m going to try testing specifically on the datasets: Twitter_volume_GOOG.csv and ambient_temperature_system_failure.csv.
However, I’m not completely even sure how to get started. I’m using NuPIC to make the SP and TM at the moment.
Here is my rudimentary start: https://github.com/flarelink/HTM_Nupic_Streaming_Anomaly
However, I’m not sure how to go from there. I’ve been trying to look around for tutorials using the NAB dataset and haven’t come across any. Is there any code available to show a quick tutorial on using HTM for NAB? I may not be looking in the right places if there is.
I want to make an implementation to mimic the Numenta HTM result for NAB:
Detector: Numenta HTM* Standard Profile: 70.5-69.7 Reward Low FP: 62.6-61.7 Reward Low FN: 75.2-74.2
Thank you for your time and have a nice day!