Hi Matt, This indeed sounds like a great fit for NuPIC and CEPT. Check out Fluent (webapp [1], server-based API [2], Python library [3]), it was made for this!
[1] http://fluent.cept.at/ [2] https://github.com/numenta/nupic.fluent.server [3] https://github.com/numenta/nupic.fluent - Chetan On Wed, Apr 9, 2014 at 6:12 PM, Matt Roesener <[email protected]> wrote: > Hello everyone, > > While experimenting with the NLP projects using CEPT and the temporal > pooler, I came across an idea. Could I feed into the temporal pooler > ingredients data such as "tomato, onion..." or "eggs, bacon, potatoes", > learn the sequences, and make predictions of the next ingredient? My > thinking is to learn food associations from thousands of other food recipes > but also create new food associations or recipes? > > Is this this logic reasonable to accomplish using Nupic or will additional > regions be needed? > > Any thought process would be much appreciated! > > Thank you, > > Matt > > > > _______________________________________________ > nupic mailing list > [email protected] > http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org > >
_______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
