Not sure if you are using OPF or not, but if so every call to model.run() returns a result object [1] that contains an "inferences" dictionary with each prediction and it's confidence in that prediction. Using this, you can git the 2nd, 3rd, etc. predictions. The confidence percentages can be very useful, too.
If you're not using the OPF, I can't help yet. I'm still learning how to construct with the Network API. [1] https://github.com/numenta/nupic/wiki/Online-Prediction-Framework#model-output-the-modelresult-object --------- Matt Taylor OS Community Flag-Bearer Numenta On Wed, Dec 17, 2014 at 12:04 AM, Chandan Maruthi <[email protected] > wrote: > > I finally read Jeffs email to the mailing list on new Ideas for Temporal > Pooling. Fascinating indeed. > Any update on where the current nupic stands with any of the ideas today? > > Also, A follow-up question on Temporal Pooling. > If you get multiple predictions . For instance : "What is ....", the next > work can be "your name", "your age", ""your address" etc.na > First how do i get access to the multiple predictions. Secondly If the SDR > is combination of mutiple predictions for instance prediction A:"001000" > and prediction B is "000100" then how do you convert this combination SDR > [001100] to individual predictions that correspond to separate potential > inputs. > > Chandan > > On Mon, Dec 15, 2014 at 8:22 PM, Chandan Maruthi < > [email protected]> wrote: >> >> Hi >> I have a few Temporal Pooler Questions >> >> 1. Difference btw inference and prediction in the TemporalPooler. >> 2. Is there a good description of the TemporalPooler input variables. >> 3. I see there are a few new ideas about temporal pooling, what is >> the current direction on the approach [ref this article >> https://github.com/numenta/nupic/wiki/New-Ideas-About-Temporal-Pooling >> ] >> >> >> >> Regards >> Chandan Maruthi >> >
