class LogisticExciteFunctionTest(unittest.TestCase):
def setUp(self):
self.fcn = LogisticExciteFunction(xMidpoint=5, maxValue=1, steepness=2)
def testExcite(self):
activation = numpy.array([0.0, 0.2, 0.4, 0.6, 0.8])
original = numpy.copy(activation)
amount = 1.0
self.fcn.excite(activation, amount)
for i in xrange(len(original)):
self.assertGreater(activation[i], original[i])
def testDecayZeroActivation(self):
activation = numpy.array([0.0, 0.0, 0.0, 0.0, 0.0])
expected = numpy.copy(activation)
amount = 1.0
self.fcn.decay(activation, amount)
npt.assert_allclose(activation, expected)
def testExciteFullActivation(self):
activation = numpy.array([1.0, 1.0, 1.0, 1.0, 1.0])
expected = numpy.copy(activation)
amount = 10.0
self.fcn.excite(activation, amount)
npt.assert_allclose(activation, expected)
class LogisticExciteFunctionTest(unittest.TestCase):
def setUp(self):
self.fcn = LogisticExciteFunction(xMidpoint=5, maxValue=1, steepness=2)
def testExcite(self):
activation = numpy.array([0.0, 0.2, 0.4, 0.6, 0.8])
original = numpy.copy(activation)
amount = 1.0
self.fcn.excite(activation, amount)
for i in xrange(len(original)):
self.assertGreater(activation[i], original[i])
def testDecayZeroActivation(self):
activation = numpy.array([0.0, 0.0, 0.0, 0.0, 0.0])
expected = numpy.copy(activation)
amount = 1.0
self.fcn.decay(activation, amount)
npt.assert_allclose(activation, expected)
def testExciteFullActivation(self):
activation = numpy.array([1.0, 1.0, 1.0, 1.0, 1.0])
expected = numpy.copy(activation)
amount = 10.0
self.fcn.excite(activation, amount)
npt.assert_allclose(activation, expected)
def setUp(self): self.fcn = LogisticExciteFunction(xMidpoint=5, maxValue=1, steepness=2)
def setUp(self):
self.fcn = LogisticExciteFunction(xMidpoint=5, maxValue=1, steepness=2)
