I was able to feed in SDRs and extract SDR predictions for the nupic_nlp project, as you can see here:
https://github.com/rhyolight/nupic_nlp/blob/master/nupic_nlp/nupic_words.py#L19 But this was not using an OPF client, or an SP. --------- Matt Taylor OS Community Flag-Bearer Numenta On Wed, Oct 16, 2013 at 4:05 AM, Marek Otahal <[email protected]> wrote: > Hi all, > > I'm implementing a hierarchical CLA by connecting the regions (implemented > in ROS). > > The easiest way seems to be to run multiple OPF clients and chain output of > one to input of some other. Recently we got PassThru encoder merged in > (thanks Keithcom!) so this part is ok. > > My question is, can I make an OPF model that uses some encoder (to transform > real world data) but outputs an SDR? > > Eg., I want to encode letters as SDRCathegory (see linguist project), but > output a SDR so I can pipe it to other models with PassThru enc, and at the > end of the pipeline again feed in a SDR but this time decode back to > character. > > > Btw NLP sidestep: I was playing with the linguist project for text > generation, and I wonder why the performance is quite bad (compared to the > state-of-the art - deep NN) and I attribute it to the lack of abstraction at > higher levels of hierarchy - hence the ROS hierarchy! Do you have an input > how to increase performance there? > > Thanks for your help, > Cheers, > ~breznak > > -- > 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
