def testScaledHTanSigmoid(self):
sigmoid = HyperbolicTangentActivationFunction(1.7159, .666666)
output = sigmoid.activate(np.matrix([-1, 0, 1]))
self.assertAlmostEqual(output[0,0], -1.0, places=5)
self.assertAlmostEqual(output[0,1], 0.0, places=5)
self.assertAlmostEqual(output[0,2], 1.0, places=5)
def testScaledHTanSigmoidDerivative(self):
sigmoid = HyperbolicTangentActivationFunction(1.7159, .666666)
output = sigmoid.derivative(np.matrix([-1.715899, 0, 1.715899]))
self.assertAlmostEqual(output[0,0], 0, places=4)
self.assertAlmostEqual(output[0,1], 1.1439, places=4)
self.assertAlmostEqual(output[0,2], 0, places=4)
def testHTanSigmoid(self):
sigmoid = HyperbolicTangentActivationFunction(1, 1)
output = sigmoid.activate(np.matrix([-1, 0, 1]))
self.assertAlmostEqual(output[0,0], -.761594, places=5)
self.assertAlmostEqual(output[0,1], .000000, places=5)
self.assertAlmostEqual(output[0,2], .761594, places=5)
