If it helps, I also have an example Python file that shows the usage of
each of the typical algorithms used in standalone fashion - in one quick
easy file with an actual use-case? I can email it to you if you'd like?

Cheers,
David

On Mon, Feb 22, 2016 at 10:24 AM, Matthew Taylor <[email protected]> wrote:

> Have you seen Scott's "Beginner's Guide"?
> https://github.com/numenta/nupic/wiki/Using-NuPIC#beginners-guide-to-nupic
>
> He instantiates the ScalarEncoder directly and uses it in a standalone
> fashion. There is a link to the code too. Does that help?
> ---------
> Matt Taylor
> OS Community Flag-Bearer
> Numenta
>
>
> On Sat, Feb 20, 2016 at 10:36 PM, mraptor <[email protected]> wrote:
> > thanks,
> >
> > I was talking mostly of standalone use i.e. separating it in its own
> > class w/o any non-standard python dependencies
> > -------| http://ifni.co
> >
> >
> > On Sat, Feb 20, 2016 at 9:28 PM, Kentaro Iizuka
> > <[email protected]> wrote:
> >> Hello mraptor,
> >>
> >> Yes!
> >> You can use NuPIC's ScalarEncoder as Python class.
> >> NuPIC’s unit test code of ScalarEncoder may helpful for you.
> >>
> https://github.com/numenta/nupic/blob/master/tests/unit/nupic/encoders/scalar_test.py
> >>
> >> Here is my small sample code using ScalarEncoder.
> >> https://gist.github.com/iizukak/2c77e9e4ee8a842e86b7
> >>
> >> Best regards.
> >>
> >> 2016-02-21 5:01 GMT+09:00 mraptor <[email protected]>:
> >>> hi,
> >>>
> >>> Is there a easy way to separate Scalar encoder as a standalone class.
> >>> I only need init, encode/decode functionality.
> >>>
> >>>
> https://github.com/numenta/nupic/blob/master/src/nupic/encoders/scalar.py
> >>>
> >>> I don't want to reinvent the wheel :)
> >>>
> >>> thanks
> >>>
> >>> -------| http://ifni.co
> >>>
> >>
> >>
> >>
> >> --
> >> Kentaro Iizuka<[email protected]>
> >>
> >> Github
> >> https://github.com/iizukak/
> >>
> >
>
>


-- 
*With kind regards,*

David Ray
Java Solutions Architect

*Cortical.io <http://cortical.io/>*
Sponsor of:  HTM.java <https://github.com/numenta/htm.java>

[email protected]
http://cortical.io

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