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 >
