Thanks for the correction, Felix. --------- Matt Taylor OS Community Flag-Bearer Numenta
On Tue, Apr 12, 2016 at 6:22 PM, Felix Andrews <[email protected]> wrote: > There is overfitting in the sense of learning overly specific patterns > without generalising. But that's a much broader question than just > swarming, and is unsolved. > > -f > > > > On 13 April 2016 at 05:59, Matthew Taylor <[email protected]> wrote: > >> Hi Sam. No danger of overfitting with HTM because it is an online >> learning system. It changes it's representation of the input space as the >> temporal patterns change. Don't think of swarming as a "test set", just >> think of it as a data sample to get the right encoding parameters. >> >> --------- >> Matt Taylor >> OS Community Flag-Bearer >> Numenta >> >> On Tue, Apr 12, 2016 at 2:20 PM, Samuel O Heiserman < >> [email protected]> wrote: >> >>> Hey Nupic! >>> >>> I'm wondering: when running data ]through Nupic, should I not run >>> the same file to build the model as I did to swarm for the parameters? >>> Since the parameters were tuned to that exact data, it seems like a >>> potential overfitting risk. The data is a series of control actions of >>> subjects playing a simple game. What I'm trying to do is train a model on >>> the subject 1's data, save that model and use it to forecast for subjects 1 >>> - 20. >>> I hope to show that the HTM can learn the individual behavioral >>> patterns of a given subject distinct from the others, and I plan to show >>> this capacity with a result where the model does well forecasting for all >>> subjects, but especially well at forecasting for the subject it was trained >>> on. However I wonder if when testing the model on subject 1, I should use >>> different subject 1 data than I used to swarm for the parameters. Thanks >>> again! >>> >>> -- Sam >>> >> >> > > > -- > Felix Andrews / 安福立 > http://www.neurofractal.org/felix/ >
