def testLogisticSigmoid(self):
sigmoid = LogisticActivationFunction()
output = sigmoid.activate(np.matrix([-1, -.5, 0, .5, 1]))
self.assertAlmostEqual(output[0,0], .268941, places=5)
self.assertAlmostEqual(output[0,1], .377540, places=5)
self.assertAlmostEqual(output[0,2], .500000, places=5)
self.assertAlmostEqual(output[0,3], .622459, places=5)
self.assertAlmostEqual(output[0,4], .731058, places=5)
def testLogisticSigmoidDerivative(self):
sigmoid = LogisticActivationFunction()
output = sigmoid.derivative(np.matrix([.25, .5, .75]))
self.assertAlmostEqual(output[0,0], .1875, places=4)
self.assertAlmostEqual(output[0,1], .2500, places=4)
self.assertAlmostEqual(output[0,2], .1875, places=4)
