Hi Ron, Great work on your hypersearch implementation! I recently went through the code before I saw the mailing list announcement and saw your code... "could it be!?... so soon!?"
The video clearly gets your point across. I had to rerun the bit where the converging points converge on the global optimal, I enjoyed it so much! Kudos! A few questions: - MySQL adds an extra dependency, would it not have been better to just make use multiple flat files or keep it in memory instead? - Why not take it a step further and directly expose the CLA via an API and have hypersearch constantly adjust the parameters directly? So I would imagine an always running hypersearch would scale back the processes once the global optimum has been found, but still keep a few hanging about double checking. Periodically based on certain data, it could research the space to ensure the found global optimum is still optimal. Kind regards Stewart On Sun, Sep 8, 2013 at 11:26 PM, Matthew Taylor <[email protected]> wrote: > Swarming in NuPIC, with Grok engineer Ron Marrianetti: > > http://youtu.be/xYPKjKQ4YZ0 > > Enjoy! > > Matt > > _______________________________________________ > 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
