def test_singleton_hyperparams_modified(self): x, y, _ = BaseTest.get_data() imgpe = iMGPE(x, y, initial_k=6) BaseTest.divide_data(imgpe, singleton=True) BaseTest.prepare_kernels(imgpe) pre_c, pre_class_indices, pre_param_vals = BaseTest.extract_sample_state(imgpe) pre_priors = BaseTest.extract_prior_state(imgpe) imgpe.hmc_round() post_c, post_class_indices, post_param_vals = BaseTest.extract_sample_state(imgpe) post_priors = BaseTest.extract_prior_state(imgpe) self.assertEqual(len(pre_c), len(post_c)) for pre_c_i, post_c_i in zip(pre_c, post_c): self.assertEqual(pre_c_i, post_c_i) self.assertEqual(len(pre_class_indices), len(post_class_indices)) for pre_class_indices_j, post_class_indices_j in zip(pre_class_indices, post_class_indices): self.assertTrue(np.array_equal(pre_class_indices_j, post_class_indices_j)) self.assertEqual(len(pre_param_vals), len(post_param_vals)) for pre_param_vals_j, post_param_vals_j in zip(pre_param_vals, post_param_vals): self.assertEqual(len(pre_param_vals_j), len(post_param_vals_j)) self.assertNotEqual(pre_param_vals_j, post_param_vals_j) self.assertEqual(pre_priors, post_priors)
def test_singleton_phi_modified(self): x, y, _ = BaseTest.get_data() imgpe = iMGPE(x, y, initial_k=6, initial_gating_phi=0.1) BaseTest.divide_data(imgpe, singleton=True) BaseTest.prepare_kernels(imgpe) pre_c, pre_class_indices, pre_param_vals = BaseTest.extract_sample_state(imgpe) pre_priors = BaseTest.extract_prior_state(imgpe) pre_phi = imgpe.gating_phi np.random.seed(1008) imgpe.hmh_gating_phi() post_c, post_class_indices, post_param_vals = BaseTest.extract_sample_state(imgpe) post_priors = BaseTest.extract_prior_state(imgpe) post_phi = imgpe.gating_phi self.assertEqual(len(pre_c), len(post_c)) for pre_c_i, post_c_i in zip(pre_c, post_c): self.assertEqual(pre_c_i, post_c_i) self.assertEqual(len(pre_class_indices), len(post_class_indices)) for pre_class_indices_j, post_class_indices_j in zip(pre_class_indices, post_class_indices): self.assertTrue(np.array_equal(pre_class_indices_j, post_class_indices_j)) self.assertEqual(pre_param_vals, post_param_vals) self.assertEqual(pre_priors, post_priors) self.assertNotEqual(pre_phi, post_phi)
def test_non_singleton_hyperhypers_modified(self): x, y, _ = BaseTest.get_data() imgpe = iMGPE(x, y, initial_k=6) BaseTest.divide_data(imgpe, singleton=False) pre_c, pre_class_indices, pre_param_vals = BaseTest.extract_sample_state(imgpe) pre_priors = BaseTest.extract_prior_state(imgpe) imgpe.optimize_priors() post_c, post_class_indices, post_param_vals = BaseTest.extract_sample_state(imgpe) post_priors = BaseTest.extract_prior_state(imgpe) self.assertEqual(len(pre_c), len(post_c)) for pre_c_i, post_c_i in zip(pre_c, post_c): self.assertEqual(pre_c_i, post_c_i) self.assertEqual(len(pre_class_indices), len(post_class_indices)) for pre_class_indices_j, post_class_indices_j in zip(pre_class_indices, post_class_indices): self.assertTrue(np.array_equal(pre_class_indices_j, post_class_indices_j)) self.assertEqual(pre_param_vals, post_param_vals) self.assertNotEqual(pre_priors, post_priors) priors_and_values = self.naive_prior_value_extraction(imgpe) for prior, values in priors_and_values: self.ensure_optimal_hyperhypers(prior, values)
