Hi Alessandro,

I'll give it a try.

2. and 3. The description.py file for a certain model describes the
parameters to use for a run of the CLA. descriptionTemplate.py (in
examples/opf/experiments/template/base) is a template file for creating an
individual description.py.

The n and w, as well as which fields are used or ignored, are all choices
made when editing (or generating) the description.py file for the model.

Take a look at the video on swarming which has just been referenced on this
list. This shows how a swarming algorithm searches for the best set of
parameters to put in to the description.py, and you can also hand-code
those choices.

4. Yes, you can dump the CLA state at the end of a run, and load it up
again for future use.




On Mon, Sep 9, 2013 at 4:16 PM, Alessandro Bardelli <
[email protected]> wrote:

> is there anyone willing/able to answer the others questions?
> thanks
>
> Alessandro
>
>
> On Thu, Sep 5, 2013 at 1:50 AM, Matthew Taylor <[email protected]> wrote:
>
>> Hi Alessandro. Thanks for commenting. I can answer one of your questions.
>>
>> On Wed, Sep 4, 2013 at 12:16 AM, Alessandro Bardelli <
>> [email protected]> wrote:
>>
>>>  1) Is there a tutorial or a reasoned example (i.e. highlighting the
>>> main implementation/options choices.) where i can start from? for now I
>>> have started reading the examples and going up in the "hierarchy", trying
>>> to understand the source code documentation...but it's almost a reverse
>>> engineering approach :). I have found the slides of the osconlecture...is 
>>> there also a video?
>>>
>>
>> There will be a video, but OSCON is slow to produce it. Last I heard, it
>> will be available sometime in November. In the meantime, there are some
>> videos on our YouTube channel that might interest you:
>>
>> http://www.youtube.com/channel/UC8-ttzWLgXZOGuhUyrPlUuA
>>
>> ---------
>> Matt Taylor
>> OS Community Flag-Bearer
>> Numenta
>>
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>>
>
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>


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4214179
Formerly of Adnet [email protected] http://www.adnet.ie
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