def test_pcpt_activation(self):
cInput = random.randint(10, 50)
listDblTarget = randlist(-0.05, 0.05, cInput)
listDblW, listDblInput = pairwise_factors(listDblTarget, -0.05, 0.05)
dblExpected = sum(listDblTarget)
dblW0 = 0.1 * (random.random() - 0.5)
pcpt = nn.Perceptron(listDblW, dblW0, random.randint(0, 1000))
dblResult = nn.pcpt_activation(pcpt, listDblInput)
self.assertAlmostEqual(dblExpected, logit(dblResult) - dblW0)
def test_pcpt_activation(self):
cInput = random.randint(10,50)
listDblTarget = randlist(-0.05,0.05,cInput)
listDblW,listDblInput = pairwise_factors(listDblTarget,-0.05,0.05)
dblExpected = sum(listDblTarget)
dblW0 = 0.1*(random.random() - 0.5)
pcpt = nn.Perceptron(listDblW, dblW0, random.randint(0,1000))
dblResult = nn.pcpt_activation(pcpt, listDblInput)
self.assertAlmostEqual(dblExpected, logit(dblResult) - dblW0)
def test_pcpt_activation(self):
cInput = random.randint(5, 10)
dblW0 = random.random() * 0.5
listDblTarget = randlist(-1.0, 1.0, cInput)
listDblX, listDblInput = pairwise_factors(listDblTarget, -1.0, 1.0)
pcpt = nn.Perceptron(listDblX, dblW0, 0)
dblActivation = nn.pcpt_activation(pcpt, listDblInput)
dblExpected = sum(listDblTarget)
dblActual = logit(dblActivation) - dblW0
self.assertAlmostEqual(dblExpected, dblActual, 4)
def test_pcpt_activation(self):
cInput = random.randint(5,10)
dblW0 = random.random()*0.5
listDblTarget = randlist(-1.0, 1.0, cInput)
listDblX,listDblInput = pairwise_factors(listDblTarget,-1.0,1.0)
pcpt = nn.Perceptron(listDblX, dblW0, 0)
dblActivation = nn.pcpt_activation(pcpt,listDblInput)
dblExpected = sum(listDblTarget)
dblActual = logit(dblActivation) - dblW0
self.assertAlmostEqual(dblExpected, dblActual, 4)