Resend. I keep using the wrong sender. sorry guys.
On Thu, Mar 27, 2014 at 1:10 PM, Julie Pitt <[email protected]> wrote: > Thanks for the pointers, Matt! I watched your tutorial video and follower > your steps myself. One weird thing was that when I did the swarm over the > sine data set, no model_params.py was generated. I checked out the exact > example code you posted on your personal GitHub, so we will see if that > happens with your exact code. Also of note is that the description.py did > not seem to work with Cerebro. > > Thank you for pointing to the skeleton doc about model params. That is a > good start, and in line with what I was looking for. I wasn't able to find > that on my own, so hopefully the reorg will help. > > The other doc I feel is missing is one that says "here are the major > pieces of py code and how they fit together." Not necessarily of interest > to the casual user, but could be immensely helpful to prospective > contributors. > > > On Wednesday, March 26, 2014, Matthew Taylor <[email protected]> wrote: > >> Most of the Numenta team is off at an AWS event today, so I'll try to >> help as I can. We are lacking documentation on model parameters, which >> is bad because they are quite important. >> >> The swarm process seems magical, but all it does is run a PSO [1] >> algorithm. Hopefully, you've seen Ron's video on Swarming [2]. So it >> just takes your input data and creates a bunch of models over and >> over, throwing out the ones that don't perform well and replacing them >> with new models with different params. Eventually finding the set of >> parameters that perform best on your data. More on our wiki [3] [4]. >> >> We do have some docs on model params on our wiki as well [5], but it >> needs to be better exposed and cleaned up. (I'm working on wiki reorg >> right now [6]). >> >> [1] en.wikipedia.org/wiki/Particle_swarm_optimization >> [2] Swarming in NuPIC <http://www.youtube.com/watch?v=xYPKjKQ4YZ0> >> >> [3] https://github.com/numenta/nupic/wiki/Running-Swarms >> [4] https://github.com/numenta/nupic/wiki/Swarming-Algorithm >> [5] https://github.com/numenta/nupic/wiki/Models#version-1 >> [6] https://github.com/numenta/nupic/issues/747 >> --------- >> Matt Taylor >> OS Community Flag-Bearer >> Numenta >> >> >> On Wed, Mar 26, 2014 at 2:57 PM, Julie Pitt <[email protected]> wrote: >> > Yes. I read On Intelligence and the Whitepaper. Now I actually want to >> take >> > my understanding to the next level. What I've worked out so far is that >> > there are a few options, for running a model: >> > >> > 1. Use the OPF. You're essentially a (python) client to the OPF which in >> > turn is a client to the CLA. >> > 2. Use python (or other) language bindings directly to interface with >> the >> > CLA >> > >> > I'm currently looking at #1. There are several ways I've seen to get >> into >> > using the OPF: >> > >> > a. Given a dataset, swarm it to create a model. Somehow swarming >> *magically* >> > figures out what translation and encoding is needed, whether you need >> to use >> > the SP or TP or both, as well as what parameters to send them. >> > b. create a model by hand >> > >> > I can do the swarm but would really like to understand the various >> > parameters and config in description.py as well as other elements I >> might be >> > missing. Right now I'm blindly fumbling around until it starts to make >> > sense. I'd love to do better than that if others have advice. >> > >> > >> > >> > On Wed, Mar 26, 2014 at 2:46 PM, Freeman 77 <[email protected]> >> wrote: >> >> >> >> Did you checked the available documents in the wiki about the CLA and >> the >> >> book On Intelligence? I think this must be the first step you need to >> make, >> >> at least that's what I'm doing. >> >> >> >> Greetings. >> >> >> >> El 26-03-2014, a las 17:50, "Julie Pitt" <[email protected]> >> escribió: >> >> >> >> Sorry if this post appears twice. I used the wrong "from" address the >> >> first time. >> >> >> >>> I'm just getting into NuPIC. I have built it on my machine and I'm >> >>> running Cerebro. I've tried loading up a couple of models (so far only >> >>> hotgym works) and run using Cerebro. I would like to start tinkering >> by >> >>> tweaking or creating my own models. Aside from just reading >> examples/code >> >>> and making inferences, is there a good place to go to get a >> description of >> >>> the config and what the params are? >> >>> >> >>> I have stumbled across ExpGenerator.py which seems to generate >> >>> experiments from some input file, but so far I haven't been able to >> >>> determine what should be in that input file. >> >>> >> >>> Thanks! >> >> >> >> >> >> >> >> _______________________________________________ >> >> 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 >> >> >> > >> > >> > _______________________________________________ >> > 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 >> >
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