Hi Nick, On Tue, Oct 21, 2014 at 10:59 AM, Nicholas Mitri <[email protected]> wrote: > > For the temporal anomaly detector, the wiki mentions using confidence > parameters to calculate the anomaly score but the actual code uses > predictive states instead. Is the latter the final approach Nupic is going > with? Or should I be looking into reintroducing confidence based anomaly > scores? >
I'm going to switch anomaly to use confidnces/permanences instead of predicted states for a finer control over the details in https://github.com/numenta/nupic/pull/1301 PS: I'd like to hear your experiences with "spatial anomaly" (in code referred to as NonTemporal anomaly), I was thinking about exporting it to anomaly.py class from SP, like Scott suggested we need some way to measure it from produced SDRs by spatial pooler. Did you try the old (if even working) nontemporal anomaly? see https://github.com/numenta/nupic/blob/master/nupic/frameworks/opf/clamodel.py#L613-L615 Cheers, Mark -- Marek Otahal :o)
