import numpy as np
from nupic.encoders.random_distributed_scalar import RandomDistributedScalarEncoder
if __name__ == "__main__":
print "Testing RSDE Quality"
maxval = 100.0
minval = -100.0
Nsamples = 1000
encoder1 = RandomDistributedScalarEncoder(name="encoder", resolution=1.0, w=23, n=500, offset=0.0)
encoder2 = RandomDistributedScalarEncoder(name="encoder", resolution=10.0, w=23, n=500, offset=0.0)
distance_function = lambda x, y: abs(x - y)
sample_generator = lambda: np.random.uniform(minval, maxval)
input_pairs_source = encoder_check.InputTripleCreator(sample_generator)
err1 = encoder_check.encoderCheck(encoder1, distance_function, input_pairs_source)
err2 = encoder_check.encoderCheck(encoder2, distance_function, input_pairs_source)
print
print "Warning rate for encoder w/ resolution 1.0: ",
print err1
print "Warning rate for encoder w/ resolution 10.0: ",
print err2
Nsamples = 1000
encoder1 = RandomDistributedScalarEncoder(name="encoder",
resolution=1.0,
w=23,
n=500,
offset=0.0)
encoder2 = RandomDistributedScalarEncoder(name="encoder",
resolution=10.0,
w=23,
n=500,
offset=0.0)
distance_function = lambda x, y: abs(x - y)
sample_generator = lambda: np.random.uniform(minval, maxval)
input_pairs_source = encoder_check.InputTripleCreator(sample_generator)
err1 = encoder_check.encoderCheck(encoder1, distance_function,
input_pairs_source)
err2 = encoder_check.encoderCheck(encoder2, distance_function,
input_pairs_source)
print
print "Warning rate for encoder w/ resolution 1.0: ",
print err1
print "Warning rate for encoder w/ resolution 10.0: ",
print err2
#
# http://numenta.org/licenses/
# ----------------------------------------------------------------------
import encoder_check
import numpy as np
from nupic.encoders.scalar import ScalarEncoder
if __name__ == "__main__":
print "Testing ScalarEncoder Quality"
maxval = 100.0
minval = -100.0
Nsamples = 1000
encoder = ScalarEncoder(name="scalar", n=14, w=3, minval=minval,
maxval=maxval, periodic=True, forced=True)
distance_function = lambda x,y : abs(x-y)
sample_generator = lambda : np.random.uniform(minval, maxval)
input_pairs_source = encoder_check.InputTripleCreator(sample_generator)
err = encoder_check.encoderCheck(encoder, distance_function,
input_pairs_source)
print "Average error: ",
print err
import numpy as np
from nupic.encoders.scalar import ScalarEncoder
if __name__ == "__main__":
print "Testing ScalarEncoder Quality"
maxval = 100.0
minval = -100.0
Nsamples = 1000
encoder = ScalarEncoder(name="scalar",
n=14,
w=3,
minval=minval,
maxval=maxval,
periodic=True,
forced=True)
distance_function = lambda x, y: abs(x - y)
sample_generator = lambda: np.random.uniform(minval, maxval)
input_pairs_source = encoder_check.InputTripleCreator(sample_generator)
err = encoder_check.encoderCheck(encoder, distance_function,
input_pairs_source)
print "Average error: ",
print err
