class LogisticExciteFunctionTest(unittest.TestCase):
def setUp(self):
self.fcn = LogisticExciteFunction(xMidpoint=5, minValue=10, maxValue=20, steepness=1)
def testExcite(self):
inputs = numpy.array([0, 2, 4, 6, 8, 10])
original = numpy.zeros(inputs.shape)
afterExcitation = numpy.copy(original)
for i in xrange(len(original)):
afterExcitation[i] = self.fcn.excite(original[i], inputs[i])
for i in xrange(len(original)-1):
self.assertGreater(afterExcitation[i+1], original[i])
def testExciteZeroInputs(self):
"""
Test saturation with strong inputs
"""
activation = numpy.array([0, 2, 4, 6, 8])
original = numpy.copy(activation)
inputs = 0
self.fcn.excite(activation, inputs)
for i in xrange(len(original)):
self.assertAlmostEqual(activation[i], original[i]+self.fcn._minValue)
def testExciteFullActivation(self):
"""
Test saturation with strong inputs
"""
activation = numpy.array([0, 2, 4, 6, 8])
expected = numpy.copy(activation) + self.fcn._maxValue
inputs = 1000000
self.fcn.excite(activation, inputs)
npt.assert_allclose(activation, expected)
# ----------------------------------------------------------------------
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
import numpy
"""
This script plots different activation and decay functions and saves the
resulting figures to a pdf document "excitation_decay_functions.pdf"
"""
with PdfPages('excitation_decay_functions.pdf') as pdf:
plt.figure()
plt.subplot(2, 2, 1)
from union_temporal_pooling.activation.excite_functions.excite_functions_all import (
LogisticExciteFunction)
self = LogisticExciteFunction()
self.plot()
plt.xlabel('Predicted Input #')
from union_temporal_pooling.activation.decay_functions.decay_functions_all import (
ExponentialDecayFunction)
plt.subplot(2, 2, 2)
self = ExponentialDecayFunction(10.0)
self.plot()
pdf.savefig()
plt.close()
# from union_temporal_pooling.activation.decay_functions.logistic_decay_function import (
# LogisticDecayFunction)
def setUp(self): self.fcn = LogisticExciteFunction(xMidpoint=5, minValue=10, maxValue=20, steepness=1)