Hey Aaron & Mark,

For what it's worth, I found this email from Subutai's
useful<http://lists.numenta.org/pipermail/nupic_lists.numenta.org/2013-November/002152.html>,
where he breaks down the three main areas of the API. Once I decided that
the OPF wasn't the way I wanted to go, I used
hello_tp.py<https://github.com/numenta/nupic/blob/master/examples/tp/hello_tp.py>to
get me started.

Tom


On Wed, Dec 4, 2013 at 10:20 AM, Doug King <[email protected]> wrote:

> Apologies, the post for FFT audio spectrum encoder was from Thomas
> Macrina with the title:  Posting an Example & Starting Point for Building
> a Network
>
>
> On Sun, Nov 24, 2013 at 10:04 AM, Doug King <[email protected]> wrote:
>
>> Hi Mark and Aaron, and welcome to the NuPic community.
>>
>> I few tips/pointers:
>>
>> - hierarchy: we are not doing this yet, NuPic is working with one region
>> for now.
>>
>> - sensible defaults and components:
>> https://github.com/numenta/nupic/wiki/Running-Swarms will explain some
>> of this. If you use the tool-set that we call OPF (Online Prediction
>> Framework) you will be able to run a swarm that should optimize for you.
>>
>> - music analysis: a couple of things you might be interested in. And
>> impressive first hackathon demo was note prediction for a song. This was
>> based on midi sequence of notes for training. Timing was not predicted or
>> accounted for, only the sequence, but it was still impressive.
>>
>> - audio analysis: converting raw audio waveform via FFT into a spectrum
>> and convert the frequency scalar values. Your in luck - Stewart just posted
>> yesterday on this list a simple python file that does this I think.
>>
>> I find a large portion of software engineers have a fascination with
>> music and sound recording and production, myself included. I expect there
>> will be quite a bit of interest in music, speech and audio applications of
>> NuPic.
>>
>> -Doug
>>
>>
>> On Sun, Nov 24, 2013 at 7:59 AM, Mark Wilson <[email protected]> wrote:
>>
>>> I'm also a lurker and also interested in signal processing (not music,
>>> but probably near enough).
>>>
>>> I'm a bit overwhelmed by lots of information about what all the
>>> different parts of the Nupic system do. I have read the CLA Whitepaper and
>>> have a bit of a grasp on the concepts. What I am having difficulty with is
>>> bridging the gap between that and the signal I would like to infer and
>>> predict.
>>>
>>> Can some one help outline what steps should be taken to set up a
>>> "suitable" HTM? Things I'm thinking about:
>>>
>>>    - HTM regions and hierarchy
>>>    - Which Nupic libraries should be used (OPF, more direct CLA
>>>    libraries?)
>>>    - Some sensible defaults for the multitude of tunables.
>>>    - Maybe there is another project that is similar enough to be used?
>>>
>>> Any help or suggestions would be great.
>>>
>>> Thanks
>>>
>>> Mark
>>>
>>>
>>> On 14 November 2013 14:07, Aaron Zimmerman 
>>> <[email protected]>wrote:
>>>
>>>> Hi all,
>>>>
>>>> I’ve been a lurker for a while, excited to try my hand at some CLA
>>>> applications, especially toward music analysis and creation.
>>>>
>>>> Is there any documentation of the different types of inferences and the
>>>> requirements to use them?
>>>>
>>>>  The hot gym example uses “TemporalMultiStep”.  While I can infer some
>>>> meaning from the name, it isn’t clear to me what the technical difference
>>>> is between this and other.
>>>>
>>>>
>>>> Thanks,
>>>>
>>>> Aaron Zimmerman
>>>> Platform Engineer
>>>> Sprout Social
>>>> 773.227.7528
>>>> @apzimmerman <https://twitter.com/apzimmerman>
>>>> sproutsocial.com<http://www.google.com/url?q=http%3A%2F%2Fsproutsocial.com%2F&sa=D&sntz=1&usg=AFrqEzcFZhOCY3atDfnGIaMM9Kza3cB4Zw>
>>>>
>>>> _______________________________________________
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>>>>
>>>>
>>>
>>> _______________________________________________
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>>>
>>
>
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