Hi guys, Thank you for your answers and sorry for the delay. Here's a repo I've made with the code:
https://github.com/mtambos/online-anomaly-detection The code for the OPF is in src/cla. It is bassically a modified version of hotgym. The data is in src/experiments/ecg1_chfdbchf13 You can run the experiment with: src/run_ecg1_chfdbchf13.py --do_cla Hi Mario, > > I am working on EEG data and anomaly likelihood and had a look at your > info. How do you encode the time stamp and feed it into learning anomaly > calcs? I could not see any time stamp encoding. > Matt is right, the timestamp is in the first column (marked in the header as datetime and with flag "T"), but it's not stricktly needed. > Mario, any chance we can see your code? You haven't called > "disableLearning()" on the model instance, have you? If you can push your > code to an online repository, I'll try to run it. > Nope, I haven't called disableLearning() > Have you tried using the AnomalyLiklihood instead of the anomaly score? See > > https://github.com/numenta/nupic/tree/master/examples/opf/clients/hotgym/anomaly/one_gym#anomaly-likelihood > for an example. > Yes, I'm using the anomaly_likelihood instead of anomaly_score. Thanks again, Mario
