Attached is the output to terminal
On Mon, Oct 20, 2014 at 7:20 PM, Chetan Surpur <[email protected]> wrote: > Did you run the patched model before you opened Cerebro 2? > > > > On Mon, Oct 20, 2014 at 4:20 PM, Mika Schiller <[email protected]> > wrote: > >> Strange. I don't see a /tmp directory anywhere. What directory should it >> be in? I've attached a screenshot of my javascript console when I run the >> page. >> >> >> >> On Mon, Oct 20, 2014 at 6:55 PM, Chetan Surpur <[email protected]> >> wrote: >> >>> Hi, >>> >>> Is there anything in the cerebro2 directory in /tmp? Also, can you post >>> what you see in the Javascript console in your browser? >>> >>> - Chetan >>> >>> >>> >>> On Sun, Oct 19, 2014 at 4:12 PM, Mika Schiller <[email protected]> >>> wrote: >>> >>>> I'm trying to make the sp learn an input 20 times as you can see in >>>> the code below. First I go into nupic.cerebro2.server directory and run >>>> python >>>> server.py 9090. Then I go into nupic.cerebro2 directory, then /static >>>> and then run python -m SimpleHTTPServer 8000. When I go to >>>> http://localhost:8000/ I see the display, but no cells or anything. >>>> I've attached a screenshot of what I'm seeing. Any idea what might be going >>>> on here? Did I patch the sp correctly? Thanks! >>>> >>>> >>>>> from nupic.encoders import ScalarEncoder >>>>> >>>>> from nupic.research.spatial_pooler import SpatialPooler >>>>> >>>>> import numpy >>>>> >>>>> from patcher import Patcher >>>>> >>>>> >>>>>> #create an encoder >>>>> >>>>> encoder = ScalarEncoder(n=22, w=3, minval=2.5, maxval=97.5, >>>>>> clipInput=True, forced=True) >>>>> >>>>> >>>>>> #create a spatial pooler >>>>> >>>>> sp = SpatialPooler(inputDimensions=(22), >>>>> >>>>> columnDimensions=(4,), potentialRadius=22, >>>>>> numActiveColumnsPerInhArea=1, >>>>> >>>>> globalInhibition=True, synPermActiveInc=0.03, potentialPct=1.0) >>>>> >>>>> >>>>>> >>>>>> >>>>>> #make sp learn input 20 times >>>>> >>>>> output = numpy.zeros((4,), dtype='int') >>>>> >>>>> for _ in xrange(20): >>>>> >>>>> sp.compute(encoder.encode(1), learn=True, activeArray=output) >>>>> >>>>> >>>> >>>>> >>>>> >>>>> if __name__ == "__main__": >>>>>> >>>>> >>>>> >>>>> Patcher().patchSP(sp) >>>>> >>>>> >>>> <Screen Shot 2014-10-19 at 7.08.50 PM.png> >>> >>> >>> >> <Screen Shot 2014-10-20 at 7.15.59 PM.png> > > >
