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 > >
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