The river-runner could be updated to swarm over some data first, then use the model params to rerun the same data through a live model. Right now it is just doing anomaly detection so not swarming at all.
--------- Matt Taylor OS Community Flag-Bearer Numenta On Sat, Oct 17, 2015 at 8:37 AM, Marek Otahal <[email protected]> wrote: > Thanks for clarification. I'll try to compare how swarming is actually > helpful for the problem. > > On Sat, Oct 17, 2015 at 5:33 PM, Matthew Taylor <[email protected]> wrote: > >> The best way to get good predictions is to swarm over data and use the >> best model returned by the swarm for that predicted field. That model is >> not the one that is used in river-runner. I am using a generic set of model >> params that work well for most scalar input fields. These params are not >> optimized for prediction, so the predictions are not good. >> >> --------- >> Matt Taylor >> OS Community Flag-Bearer >> Numenta >> >> On Sat, Oct 17, 2015 at 8:05 AM, Marek Otahal <[email protected]> >> wrote: >> >>> Great timing Matt! >>> >>> I was just planing to run a bunch of NAB & River data through HTM for >>> this weekend :) I guess https://github.com/nupic-community/river-runner >>> is what I'm looking for, right? >>> >>> PS: I don't understand the note about predictions, afaik anomaly >>> detection is based on predictions, so either the models are not optimized >>> at all, or are optimized for predictions (and anomalies as well). >>> PPS: This leads me to "Do you have optimized params for specific streams >>> of River?" If not, are you interested in some? Where to publish..? >>> >>> Cheers, >>> >>> On Sat, Oct 17, 2015 at 4:37 PM, Matthew Taylor <[email protected]> >>> wrote: >>> >>>> Hello NuPIC, >>>> >>>> Getting data out of River View is easier than ever with >>>> https://github.com/nupic-community/riverpy. I have also updated >>>> https://github.com/nupic-community/river-runner to use riverpy as a >>>> data client, providing another example. >>>> >>>> This new client is useful because I have recently made changes in River >>>> View that disallow the retrieval of very large amounts of data in one >>>> request. Riverpy provides a data cursor with a way to navigate through >>>> large streams of data easily. >>>> >>>> Regards, >>>> --------- >>>> Matt Taylor >>>> OS Community Flag-Bearer >>>> Numenta >>>> >>> >>> >>> >>> -- >>> Marek Otahal :o) >>> >> >> > > > -- > Marek Otahal :o) >
