Hi everyone, I'm trying to fit a CLA model for anomaly detection on ECG data, and I wanted to as whether eny of you has any experience with this. So far my results are far from optimal. I have 15 minutes worth of ECG with a sample every .004 seconds. I swarm over the first 1000 samples and then start feeding the model with the complete ECG from the start. The predictions look good, but the model seems to be assigning to each QRS complex an anomaly_likelihood=1. You can see an excerpt of the data here: https://gist.github.com/mtambos/70159bdf59dcfe300b57
and a plot here: https://www.copy.com/s/nXTViyi2fxOMdIMZ/cla_ecg.png Here's also the model params generated by the swarm https://gist.github.com/mtambos/269298118704f5bb39a8 and here the swarm description https://gist.github.com/mtambos/5f642555945da8ddb484 Any help/tips would be greatly appreciated. Thanks! Mario
