Thank you Subutai!

Those seem like great places to start. 
Appreciate the help.

Nick 


On Mar 4, 2014, at 3:56 AM, Subutai Ahmad <[email protected]> wrote:

> Hi Nicholas,
> 
> Improving this level of documentation is definitely a high priority for us 
> this year. A couple of places you could look:
> 
> 1) There’s a simple example of using the temporal pooler directly here:
> 
> examples/tp/hello_tp.py
> 
> 2) Kevin is also working on a simple example of using the spatial pooler. The 
> issue with the conversation is here:
> 
> https://github.com/numenta/nupic/issues/654
> 
> and his current working code is here:
> 
> https://github.com/lonesword/nupichelloworld/blob/master/helloworld.py
> 
> 3) The hotgym client is probably the easiest one to use if you want an end to 
> end system.
> 
> 4) The python implementations of the algorithms are here if you want to 
> directly modify them:
> 
> py/nupic/research/spatial_pooler.py
> py/nupic/research/TP.py
> 
> Hope this helps.
> 
> —Subutai
> 
> 
> On Sat, Mar 1, 2014 at 7:09 AM, Nicholas Mitri <[email protected]> wrote:
> Hello,
> 
> I was wondering what the best way to approach learning the details of the 
> implementation was.
> After getting the build ready and reading through some of the example 
> clients, what should a newcomer explore to get a better grasp of how the 
> implementation and the white paper differ? and possibly add their own 
> modifications at the algorithmic level?
> 
> I’m interested in testing NUPIC from a machine learning perspective and using 
> it as part of a number of comparative studies with clustering and learning 
> algorithms. I haven’t been able to get a firm handle on how everything is 
> implemented though.
> 
> I’d appreciate any guidance in that respect :).
> 
> Best,
> Nicholas
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