Currently, the anomaly likelihood state is not saved when you persist a model. That means when you resurrect the model, it will need to see 500 data points before you start getting likelihood values again. I've created a feature request to address this: https://github.com/numenta/nupic/issues/3021. --------- Matt Taylor OS Community Flag-Bearer Numenta
On Wed, Feb 24, 2016 at 8:17 AM, Alexandra Vasilova <[email protected]> wrote: > Hello! > > I started playing around with the nupic opf framework, saving and loading > networks. I am using anomaly likelihood class for evaluating the score. What > should I do if I want to use AnomalyLikelihood class from the point when > model was saved? I'm really sorry if this question is covered in some > introductory tutorials, but I can't really find this use case in the > examples. I suppose that the model saved by the save function from model.py > should have all the necessary information, right? Or do I need to save the > anomalyLikelihood object into some pickle and load it every time? > > Thank you for the answer! > Alexandra
