One more question: Is it possible to somehow save the model "trained" from 1st dataset to use it later?
On Wed, Feb 10, 2016 at 11:52 PM, Wakan Tanka <[email protected]> wrote: > Hello NuPIC, > > In hotgym anomaly tutorial Matt changed inferenceType from > TemporalMultiStep to TemporalAnomaly to being able detect anomalies. When > he then run script to removed all Tuesdays NuPIC adapted to those changes, > as it sees more and more of those data, started to consider it as a normal > and stop reporting it as an anomaly. > > 1. I do not want NuPIC to adapt to those changes. Is possible to disable > learning in this phase? I want is to create model using 1st dataset, then > pass 2nd dataset to this model but further learning will be disabled. So > far I know how to: create model_params by running swarm over 1st dataset > and pushing this dataset into NuPIC to compute anomaly score. But what I do > not know is how to "save" those learned patterns from 1st dataset and > detect anomalies using this "trained" version in 2nd dataset. Is this even > possible for NuPIC? > > 2. The one difference between hot gym prediction and hot gym anomaly was > changing inferenceType from TemporalMultiStep to TemporalAnomaly in > existing model params. So I guess that inferenceType does not affects swarm > process because it can be easily turned into something else in existing > model if needed? Are all available options under inferenceType using the > same algorithm principles under the hood? > > 3. Based on above: when somebody is talking about creating model he is > basically referring not just tuning (e.g. by hand or swarm) parameters > inside model_params.py but also in this "training" phase? > > 4. Where can I find further info regarding inferenceType, the only info > that I’ve found is this list [1]? Matt in his hot gym prediction tutorial > said that the data are temporal so he has chosen TemporalMultiStep. But how > can I know if my data are temporal and not e.g. nontemporal? As a > nontemporal data can be considered e.g. those that guys from cortical.io > are dealing with? I mean SDRs for particular words where time does not > plays crucial role? Is the role of time completely omitted in cortical.io > examples? > > [1] Inference Types - > https://github.com/numenta/nupic/wiki/Inference-Types > > -- > Thank you > > Best Regards > > Wakan > -- Best Regards Name: Wakan Tanka a.k.a. Wakatana a.k.a. MackoP00h Location: Europe Note: I'm non native English speaker so please bare with me ;) Contact: [email protected] http://stackoverflow.com/users/1616488/wakan-tanka https://github.com/wakatana https://twitter.com/MackoP00h
