anyone? :( thanks in advance
On Tue, Sep 10, 2013 at 9:49 AM, Alessandro Bardelli < [email protected]> wrote: > Hi, > thanks for the answer...but i was looking a more in-depth explanations. > i knew the difference between description.py and descriptionTemplate, i > was trying to understand why the syntax between the two is different. > Same for n and w... i was looking for something like: "ok, if you increase > n you will get this effect, while ....etc." and a rule of thumb to choose > their values. > > i have already watched the swarming video. I have tried to run it over the > "sum of two feature" example i described in my first mail but i still get > the same ugly results...so my other doubts still hold. > > for what concerning 4) i was wondering if there is a simpler way to do it > than the for cycle ... > > last but not least, have you tried to put None as predicted field? it is > working for you? > > thanks again > > Alessandro > > p.s. i'll copy my first email here for quick reference: > 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? > > 2) I have found the description_template.py but it seems to me that has a > quite different syntax respect to the others description files (e.g. the > encoders). am i missing something? > > 3) in the scalar_1 example: > a) the randomData feature is ignored, isn't it? > b) how the "n" and "w" are chosen? is there a rule? > > c) why is the SP disabled? > > d) i have tried to change this example to classify the patterns > according to the sum of two features, i.e. > class, field1, field2, randomData > float,float,float,float > ,,, > 3,1,2, something > 7,3,4, something > 7,1,6, something > 1,0,1, something > 5,1,4, something > .... > ..... > to do this i've just added an encoder for field2 and randomData...but > i am unable to get a decent result. where i am wrong? > > > 4) is there a way to save the model produced and use it again both to make > inferences and to do some more train over new data? > As what concerning the latter i have hacked the OpfRunExperiment.py > file with a for cycle > model=runExperiment(sys.argv[1:]) > for c in range (0,9): > runExperiment(sys.argv[1:],model) > > but i am quite sure that there is a cleaner and smarter way of doing > this > > 5) if i put some pattern with None as predicted field, as suggested here ( > https://github.com/numenta/nupic/wiki/Spatial-Classification), the model > is actually modified and None is threated as a category/value... and the > output is "None". > > > > On Mon, Sep 9, 2013 at 5:59 PM, Fergal Byrne > <[email protected]>wrote: > >> 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 >>>> >>>> _______________________________________________ >>>> nupic mailing list >>>> [email protected] >>>> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >>>> >>>> >>> >>> _______________________________________________ >>> nupic mailing list >>> [email protected] >>> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >>> >>> >> >> >> -- >> >> Fergal Byrne >> >> ExamSupport/StudyHub [email protected] >> http://www.examsupport.ie >> Dublin in Bits [email protected] http://www.inbits.com +353 83 >> 4214179 >> Formerly of Adnet [email protected] http://www.adnet.ie >> >> _______________________________________________ >> nupic mailing list >> [email protected] >> http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org >> >> >
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