Python ExpectedImprovement Examples

Example #1

File: test_expected_improvement.py Project: ChanChiChoi/OpenMDAO-Framework

 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)

Example #2

File: test_expected_improvement.py Project: ChanChiChoi/OpenMDAO-Framework

 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)

Example #3

File: test_expected_improvement.py Project: codesburner/OpenMDAO-Framework

 def test_ei_zero_division(self):
     ei = ExpectedImprovement()
     ei.best_case = CaseSet(Case(outputs=[("y", 1)]))
     ei.criteria = "y"
     ei.predicted_value = NormalDistribution(mu=1, sigma=0)
     ei.execute()
     self.assertEqual(0, ei.EI)
     self.assertEqual(0, ei.PI)

Example #4

File: test_expected_improvement.py Project: codesburner/OpenMDAO-Framework

 def test_ei(self):
     ei = ExpectedImprovement()
     ei.best_case = CaseSet(Case(outputs=[("y", 1)]))
     ei.criteria = "y"
     ei.predicted_value = NormalDistribution(mu=1, sigma=1)
     ei.execute()
     self.assertAlmostEqual([0.91], ei.EI, 2)
     self.assertAlmostEqual(0.5, ei.PI, 6)

Example #5

File: test_expected_improvement.py Project: younglch/OpenMDAO-Framework

 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)

Example #6

File: test_expected_improvement.py Project: younglch/OpenMDAO-Framework

 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)

Example #7

File: test_expected_improvement.py Project: codesburner/OpenMDAO-Framework

 def test_ei_bad_criteria(self):
     ei = ExpectedImprovement()
     ei.best_case = CaseSet(Case(outputs=[("y", 1)]))
     ei.criteria = "x"
     ei.predicted_value = NormalDistribution(mu=1, sigma=1)
     try:
         ei.execute()
     except ValueError, err:
         self.assertEqual(
             str(err), ": best_case did not have an output which "
             "matched the criteria, 'x'")

Example #8

File: test_expected_improvement.py Project: JustinSGray/OpenMDAO-Framework

 def test_ei_zero_division(self):
     ei = ExpectedImprovement()
     ei.best_case = CaseSet(Case(outputs=[("y",1)]))
     ei.criteria = "y"
     ei.predicted_value = NormalDistribution(mu=1,sigma=0)
     ei.execute()
     self.assertEqual(0,ei.EI)
     self.assertEqual(0,ei.PI)

Example #9

File: test_expected_improvement.py Project: JustinSGray/OpenMDAO-Framework

 def test_ei(self):
     ei = ExpectedImprovement()
     ei.best_case = CaseSet(Case(outputs=[("y",1)]))
     ei.criteria = "y"
     ei.predicted_value = NormalDistribution(mu=1,sigma=1)
     ei.execute()
     self.assertAlmostEqual([0.91],ei.EI,2)
     self.assertAlmostEqual(0.5,ei.PI,6)

Example #10

File: test_expected_improvement.py Project: JustinSGray/OpenMDAO-Framework

 def test_ei_bad_criteria(self):
     ei = ExpectedImprovement()
     ei.best_case = CaseSet(Case(outputs=[("y",1)]))
     ei.criteria = "x"
     ei.predicted_value = NormalDistribution(mu=1,sigma=1)
     try:
         ei.execute()
     except ValueError,err:
         self.assertEqual(str(err),": best_case did not have an output which "
              "matched the criteria, 'x'")