One more clarification to my question: I'm trying to reverse engineer the
plumbing of the NuPIC platform. I think I get the high level architecture
and have been following the discussion on how nupic will be refactored. I
can also follow the commands to set up and run models, but there seems to
be some missing documentation/understanding as far as what are necessary
pieces and how they fit together.

For example, this
page<https://github.com/numenta/nupic/wiki/Online-Prediction-Framework>
talks
about the Model interface, but then when I go to run the hotgym example in
Cerebro based on its description.py file, I don't see where the Model
interface is being implemented. I gleaned that the description.py was
actually generated by ExpGenerator.py, but can't figure out where the input
to that script is.




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!
>>>
>>
>>
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>
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