def test_ei_zero_division(self):
ei = ExpectedImprovement()
ei.target = 1.0
ei.current = NormalDistribution(mu=1, sigma=0)
ei.execute()
self.assertEqual(0, ei.EI)
self.assertEqual(0, ei.PI)
def test_ei_zero_division(self):
ei = ExpectedImprovement()
ei.target = 1.0
ei.current = NormalDistribution(mu=1, sigma=0)
ei.execute()
self.assertEqual(0,ei.EI)
self.assertEqual(0,ei.PI)
def test_ei(self):
ei = ExpectedImprovement()
ei.target = 1.0
ei.current = NormalDistribution(mu=1, sigma=1)
ei.execute()
self.assertAlmostEqual([0.40], ei.EI, 2)
self.assertAlmostEqual(0.5, ei.PI, 6)
def test_ei(self):
ei = ExpectedImprovement()
ei.target = 1.0
ei.current = NormalDistribution(mu=1, sigma=1)
ei.execute()
self.assertAlmostEqual([0.40],ei.EI,2)
self.assertAlmostEqual(0.5,ei.PI,6)
