I believe that if you provide the time as a field, it will be split up into components (day of week, is weekend, etc.) and encoded as any ordinary integer. So NuPIC won't treat this any differently than any other integer field. The learning occurs online with every record, whether 10 minutes have passed in the time field, or whether 1 hour has passed. Hope that makes sense.
On Thu, Nov 14, 2013 at 2:06 PM, Marek Otahal <[email protected]> wrote: > > On Thu, Nov 14, 2013 at 10:57 PM, Chetan Surpur <[email protected]>wrote: > >> You would show many variants of the same object in a short period of time >> to the HTM. It will associate them together using temporal pooling, and >> that's what gives you an invariant representation. Basically, time acts as >> a supervisor to correlate the variations. >> > +1 on the time being correlation supervisor, as that's how our minds > perceive it. > > Btw, how do "timed streams" work in Nupic? > > Is it you provide a field {data | time} , and the OPF model takes care of > "when difference T - (T-1) is too big, supress connections"? > > Or in a sequential manner, eg sending a sample every 1 sec, degrading > connections a bit every step. So say in 10 steps a connection is unlinked > unless boosted by a "correlating" example on input? > > > -- > Marek Otahal :o) > > _______________________________________________ > 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
