another thing: 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".
thanks again Alessandro On Wed, Sep 4, 2013 at 9:16 AM, Alessandro Bardelli < [email protected]> wrote: > hi everyone, > I am new to CLA and nupic and I have some troubles in getting started, > understand how to build a model and set the parameters correctly. > my questions: > > 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: > the randomData feature is ignored, isn't it? how the "n" and "w" are > chosen? is there a rule? > > why is the SP disabled? > > 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 > > thanks > > Alessandro > > p.s. sorry for my bad english > > >
_______________________________________________ nupic mailing list [email protected] http://lists.numenta.org/mailman/listinfo/nupic_lists.numenta.org
