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On 16 July 2013 05:03, Erik Blas <[email protected]> wrote:

> Python bindings significantly lower the barrier to entry and adoption, in
> my opinion. People who don't know python very well, can still do something
> with nupic and get some value out of the predictions relatively quickly, as
> I believe was evidenced by the hackathon.
>
>
> On Mon, Jul 15, 2013 at 10:58 PM, Scott Purdy <[email protected]> wrote:
>
>> We intend to keep both the Python and C++ versions. The Python version
>> will probably always use some swigged C++ code such as the sparse matrix in
>> the spatial pooler but the C++ version will be pure, portable C++. And we
>> will also swig the C++ implementation for different languages and run it
>> against the same Python test site to ensure they stay in sync functionally.
>>
>> That is the plan now at least. It may change so don't hold me to it. And
>> do let me know if you have a strong opinion for or against it.
>> On Jul 15, 2013 9:43 PM, "Erik Blas" <[email protected]> wrote:
>>
>>> I always get a kick out of that tool's name.
>>>
>>> I am sad to see the python support go, as it made for quick prototyping
>>> of projects, and understand why it would also make the platform more
>>> portable as a whole.
>>>
>>> Perhaps I'll get to the point of keeping a python port.
>>>
>>>
>>> On Mon, Jul 15, 2013 at 4:05 PM, Scott Purdy <[email protected]> wrote:
>>>
>>>> We are moving towards a full C++ implementation.  There was a thread
>>>> where Gil described his efforts around the spatial pooler.  There are some
>>>> other things that would need to be ported to C++ like part of the temporal
>>>> pooler, the encoders, and a CLA wrapper around the different pieces.  Would
>>>> be great if you were interested in contributing to that David, let me know
>>>> and we can discuss.
>>>>
>>>> With respect to understanding what is going on, it is possible to get
>>>> the state out despite the hybrid Python/C++ implementation.  We have a tool
>>>> that we haven't made public yet called Cerebro.  It provides step-by-step
>>>> inspection of the CLA including the active and predicted cells.  It also
>>>> allows you to write a function for generating data to step through so that
>>>> you can quickly see how the CLA learns and predicts for different
>>>> artificial data sets.
>>>>
>>>> Cerebro is still tangled with our internal code but we understand it is
>>>> an important tool for understanding the CLA so we would like to get it into
>>>> the public repo as soon as possible.  But no ETA or specific plans yet.
>>>>
>>>>
>>>> On Mon, Jul 15, 2013 at 3:20 PM, David Ragazzi <
>>>> [email protected]> wrote:
>>>>
>>>>> It could there's some plan to discard Python dependence. Because of
>>>>> Python, several hacks/dependent tools are need for finally CLA run.
>>>>>
>>>>> I even am converting the entire Python code to C# and later to
>>>>> (native) C++ in order to have a compiled stand-alone library which is 
>>>>> cross
>>>>> platform and so I could use it in my personal projects. It´s a plenty of
>>>>> work, but for me is better.
>>>>>
>>>>> With CLA ported as stand-alone library anyone could develop
>>>>> independent tools for different operating systems without need of
>>>>> virtualbox or others.
>>>>>
>>>>> I would love to know if Grook plans to remove the dependency on python
>>>>> soon. I remember that someone here said something about, but I don't
>>>>> remember exactly. If so, I would like much can help.
>>>>>
>>>>> Best, David
>>>>>
>>>>>
>>>>> On 15 July 2013 18:26, Uwe Kirschenmann <uwe.kirschenmann@fit.**
>>>>> fraunhofer.de <[email protected]>> wrote:
>>>>>
>>>>>> Hello,
>>>>>>
>>>>>> i am pretty new to the nupic mailing list but do have a few questions
>>>>>> concerning the implementation of NuPIC and the documentation. It tooks 
>>>>>> some
>>>>>> time to get the whole setup running on my virtual box and i let out a cry
>>>>>> of joy when the tests endend sucessfully. i then set up eclipse and 
>>>>>> loaded
>>>>>> the relevant python (OPF) files of the build and the experiment into my
>>>>>> project folder. i debugged that to get an understanding and wrote down
>>>>>> sequence diagrams (hotgym-experiment). from there i learned that some 
>>>>>> calls
>>>>>> are made into the c++ libs via swig. Then i asked myself how to debug 
>>>>>> this
>>>>>> code from within the calling python code - which i did not manage. what i
>>>>>> can do, is call the c++ code from the sample tests you mentioned in the
>>>>>> installation instructions.  all in all that was pretty frustrating.
>>>>>>
>>>>>> my questions are:
>>>>>> * do you have project-files that one can use (like in eclipse) for
>>>>>> setting the structure up correctly?
>>>>>> * is it possible to debug the c++ code from python that makes calls
>>>>>> to swig-implementations?
>>>>>> * what else is needed to get a better understanding of the whole
>>>>>> setup (my guess is, that the participants of the hackathon do have some
>>>>>> advantage), for example other directories in the numenta folder...
>>>>>>
>>>>>> Best regards,
>>>>>>
>>>>>> Uwe
>>>>>>
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