Don't worry about it I just wanted to get general idea ... I was mostly interested of the Encoding internals. Alex Lavin gave me a paper how it works, so I wrote what I needed for my experiments.
thanks again PS> I have your github reference and saved it -------| http://ifni.co On Tue, Feb 23, 2016 at 8:18 PM, David Ray <[email protected]> wrote: > Matt and I are going to take a look at it because some of the parameters are > off and the classifier predictions don't come out right - so give us a day or > so to work it out... > > Cheers, > David > > Sent from my iPhone > >> On Feb 23, 2016, at 6:31 PM, mraptor <[email protected]> wrote: >> >> thanks alot >> -------| http://ifni.co >> >> >> On Tue, Feb 23, 2016 at 8:18 AM, cogmission (David Ray) >> <[email protected]> wrote: >>> @mraptor >>> >>> Here is the python version of a class named QuickTest.py. It demonstrates >>> the connection of all the major algorithms (except Anomaly). This was >>> written about a year ago, so forgive me if there are one or two tweaks >>> necessary to make it compatible with the current NuPIC code? (Chances are >>> that it is still compatible, but just in case - be forewarned). >>> >>> Maybe some enterprising Numenta engineer can take a look and make sure that >>> the code is still relevant (then share the results again with the >>> community)? This file seems to come in handy for new-comers and so may be >>> useful as a tool to share? >>> >>> (see attached) >>> >>> Cheers, >>> David >>> >>>> On Mon, Feb 22, 2016 at 10:29 PM, mraptor <[email protected]> wrote: >>>> >>>> that will be nice, if it is not too much of a hassle . >>>> -------| http://ifni.co >>>> >>>> >>>> On Mon, Feb 22, 2016 at 11:50 AM, cogmission (David Ray) >>>> <[email protected]> wrote: >>>>> 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 >>>>> Sponsor of: HTM.java >>>>> >>>>> [email protected] >>>>> http://cortical.io >>> >>> >>> >>> -- >>> With kind regards, >>> >>> David Ray >>> Java Solutions Architect >>> >>> Cortical.io >>> Sponsor of: HTM.java >>> >>> [email protected] >>> http://cortical.io >> >
