Hey guys,
I'm trying to test out different parameters on the temporal pooler. I
created a tp and tried feeding it a super simple sequence to learn with
data from a scalar encoder:
# create input vectors
encoder = ScalarEncoder(n=22, w=3, minval=2, maxval=100, clipInput=True,
forced=True)
one_input = encoder.encode(1)
fifteen_input = encoder.encode(15)
twentyfive_input = encoder.encode(25)
inputs = (one_input, fifteen_input, twentyfive_input)
# send sequence to the temporal pooler for learning
# repeat the sequence 10 times
for i in range(10):
for j in range(3):
tp.compute(inputs[j], enableLearn = True, computeInfOutput = False)
But I get an the following error:
tp.compute(inputs[j], enableLearn = True, computeInfOutput = False)
File
"/usr/local/Cellar/python/2.7.8_1/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nupic-0.1.0-py2.7.egg/nupic/research/TP10X2.py",
line 299, in compute
(bottomUpInput.dtype == numpy.dtype('int32'))
AssertionError
I'm a bit confused about why it's producing this error because the encoder
values I'm feeding the tp are numpy arrays....
