Thanks Subutai!
..and it's wi(c)kied: https://github.com/numenta/nupic/wiki/Encoders


On Wed, Aug 7, 2013 at 1:58 AM, Subutai Ahmad <[email protected]> wrote:

> Hi Marek,
>
> Yes, this was my hackathon contribution :-)
>
> Look in nupic/examples/tp/hello_tp.py
>
> It's a simple example program that shows you exactly how to use the TP
> directly. We do this a lot for testing. I also think it's a great way to
> understand the temporal pooler in more detail.  The comments from the top
> of the file are below.
>
> --Subutai
>
> """
> This program shows how to access the Temporal Pooler directly by
> demonstrating
> how to create a TP instance, train it with vectors, get predictions, and
> inspect
> the state.
>
> The code here runs a very simple version of sequence learning, with one
> cell per column. The TP is trained with the simple sequence A->B->C->D->E
>
> HOMEWORK: once you have understood exactly what is going on here, try
> changing
> cellsPerColumn to 4. What is the difference between one cell per column
> and 4
> cells per column?
>
> PLEASE READ THROUGH THE CODE COMMENTS - THEY EXPLAIN THE OUTPUT IN DETAIL
> """
>
>
>
> On Tue, Aug 6, 2013 at 3:43 PM, Marek Otahal <[email protected]> wrote:
>
>> +1 for the identity/pass-thru encoder. Also, check the temporal pooler
>> code, as you could skip the spatial pooler and feed directly to TP, I
>> remember some discussion about this and think it has been implemented.
>>
>>
>> On Tue, Aug 6, 2013 at 11:49 PM, Francisco Webber <[email protected]>wrote:
>>
>>> Scott,
>>> I heavily support this idea of a pass-through encoder as thats what my
>>> text-SDRs will probably need.
>>>
>>> Francisco
>>>
>>> On 06.08.2013, at 22:49, Scott Purdy wrote:
>>>
>>> > One thing we have talked about but not implemented is a pass-through
>>> encoder.  It would let you create an SDR in any way you want and pass it in
>>> to the CLA model's compute method as the field value.  That would probably
>>> be the best way to approach your problem if you want to implement it with
>>> the CLA.
>>> >
>>> >
>>>
>>>
>>> _______________________________________________
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>>>
>>
>>
>>
>> --
>> Marek Otahal :o)
>>
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>>
>
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>


-- 
Marek Otahal :o)
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