You should have a look at MultiEncoder. https://github.com/numenta/nupic/blob/master/nupic/encoders/multi.py It does basically what Chandan describes :) On Jun 23, 2015 8:13 PM, "Chandan Maruthi" <[email protected]> wrote:
> I havent played with hierarchy yet , But I assume something like this must > be possible with hierarchy too. > > On Tue, Jun 23, 2015 at 10:59 AM, Chandan Maruthi < > [email protected]> wrote: > >> Jose, >> Theoretically this is possible. When a prediction is made, you are >> basically referring to a state that the CLA has seen before in the given >> context occurring after the current step. If this state is a combination >> off multiple inputs then the state can be resolved into multiple inputs >> that represent the state. >> >> To achieve this out of the box. May be you can write your own encoder >> that creates an output where every x bits represent a given input. As you >> have mentioned in your comment . >> >> On Tue, Jun 23, 2015 at 10:19 AM, Jose Luis Contreras Santos < >> [email protected]> wrote: >> >>> Hello all! >>> >>> I would like to ask you a question: do you know if it is possible to >>> make predictions about more than one field at the same time? If not, I >>> would assume that is due to implementation, as theoretically it should be >>> possible, am I right? >>> >>> Thanks for your help! >>> >>> Jose Luis >>> >>> PS: However, I imagine that it could be possible to group variables into >>> states and predict states instead of individual values for variables - as >>> long as they have a limited number of possible values >>> >> >> >> >> -- >> Regards >> Chandan Maruthi >> >> > > > -- > Regards > Chandan Maruthi > >
