def test_default_surrogate_change(self): metamodel = MetaModel() mmins = set(metamodel.list_inputs()) mmouts = set(metamodel.list_outputs()) metamodel.default_surrogate = KrigingSurrogate() metamodel.model = Simple() metamodel.default_surrogate = LogisticRegression() attrs = metamodel.get_attributes(io_only=False) for s in attrs['Slots']: self.assertNotEqual(s['name'], 'c') self.assertNotEqual(s['name'], 'd') inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(['a', 'b'])) self.assertEquals(outputs - mmouts, set(['c', 'd'])) for i in range(3): metamodel.train_next = True metamodel.run() self.assertTrue(len(metamodel._training_data['c']) == 3) self.assertTrue(len(metamodel._training_data['d']) == 3) self.assertTrue(len(metamodel._training_input_history) == 3) metamodel.includes = ['a', 'b', 'c', 'd'] self.assertTrue(len(metamodel._training_data['c']) == 3) self.assertTrue(len(metamodel._training_data['d']) == 3) self.assertTrue(len(metamodel._training_input_history) == 3) # removing an output should not clobber the rest of the training data metamodel.includes = ['a', 'b', 'c'] self.assertTrue(len(metamodel._training_data['c']) == 3) self.assertTrue('d' not in metamodel._training_data) self.assertTrue(len(metamodel._training_input_history) == 3) # now put a different model in with the same inputs/outputs metamodel.model = SimpleMatch() metamodel.includes = ['a', 'b', 'c', 'd'] inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(['a', 'b'])) self.assertEquals(outputs - mmouts, set(['c', 'd'])) self.assertTrue(len(metamodel._training_data['c']) == 0) self.assertTrue(len(metamodel._training_data['d']) == 0) self.assertTrue(len(metamodel._training_input_history) == 0) # now put a different model in metamodel.model = Simple2() metamodel.includes = ['w', 'x', 'y', 'z'] inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(['w', 'x'])) self.assertEquals(outputs - mmouts, set(['y', 'z']))
def test_default_surrogate_change(self): metamodel = MetaModel() mmins = set(metamodel.list_inputs()) mmouts = set(metamodel.list_outputs()) metamodel.default_surrogate = KrigingSurrogate() metamodel.model = Simple() metamodel.default_surrogate = LogisticRegression() attrs = metamodel.get_attributes(io_only=False) for s in attrs['Slots']: self.assertNotEqual(s['name'], 'c') self.assertNotEqual(s['name'], 'd') inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs-mmins, set(['a','b'])) self.assertEquals(outputs-mmouts, set(['c','d'])) for i in range(3): metamodel.train_next = True metamodel.run() self.assertTrue(len(metamodel._training_data['c']) == 3) self.assertTrue(len(metamodel._training_data['d']) == 3) self.assertTrue(len(metamodel._training_input_history) == 3) metamodel.includes = ['a','b','c','d'] self.assertTrue(len(metamodel._training_data['c']) == 3) self.assertTrue(len(metamodel._training_data['d']) == 3) self.assertTrue(len(metamodel._training_input_history) == 3) # removing an output should not clobber the rest of the training data metamodel.includes = ['a','b','c'] self.assertTrue(len(metamodel._training_data['c']) == 3) self.assertTrue('d' not in metamodel._training_data) self.assertTrue(len(metamodel._training_input_history) == 3) # now put a different model in with the same inputs/outputs metamodel.model = SimpleMatch() metamodel.includes = ['a','b','c','d'] inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs-mmins, set(['a','b'])) self.assertEquals(outputs-mmouts, set(['c', 'd'])) self.assertTrue(len(metamodel._training_data['c']) == 0) self.assertTrue(len(metamodel._training_data['d']) == 0) self.assertTrue(len(metamodel._training_input_history) == 0) # now put a different model in metamodel.model = Simple2() metamodel.includes = ['w','x','y','z'] inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs-mmins, set(['w','x'])) self.assertEquals(outputs-mmouts, set(['y','z']))
def test_model_change(self): metamodel = MetaModel() mmins = set(metamodel.list_inputs()) mmouts = set(metamodel.list_outputs()) metamodel.surrogate = {'default': KrigingSurrogate()} metamodel.model = Simple() inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(['a', 'b'])) self.assertEquals(outputs - mmouts, set(['c', 'd'])) # now put a different model in metamodel.model = Simple2() inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(['w', 'x'])) self.assertEquals(outputs - mmouts, set(['y', 'z']))
def test_model_change(self): metamodel = MetaModel() mmins = set(metamodel.list_inputs()) mmouts = set(metamodel.list_outputs()) metamodel.surrogate = {'default':KrigingSurrogate()} metamodel.model = Simple() inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs-mmins, set(['a','b'])) self.assertEquals(outputs-mmouts, set(['c','d'])) # now put a different model in metamodel.model = Simple2() inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs-mmins, set(['w','x'])) self.assertEquals(outputs-mmouts, set(['y','z']))
def test_model_change(self): metamodel = MetaModel() mmins = set(metamodel.list_inputs()) mmouts = set(metamodel.list_outputs()) metamodel.surrogate = {"default": KrigingSurrogate()} metamodel.model = Simple() inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(["a", "b"])) self.assertEquals(outputs - mmouts, set(["c", "d"])) # now put a different model in metamodel.model = Simple2() inputs = set(metamodel.list_inputs()) outputs = set(metamodel.list_outputs()) self.assertEquals(inputs - mmins, set(["w", "x"])) self.assertEquals(outputs - mmouts, set(["y", "z"]))