def test_pipeline_parameters(self): pgo = PGO.load_pgo_file(example_pgo_fp) trainable = PCA() >> LogisticRegression() parameters = get_grid_search_parameter_grids(trainable, num_samples=2, pgo=pgo)
def test_lr_parameters(self): pgo = PGO.load_pgo_file(example_pgo_fp) lr = LogisticRegression() parameters = get_grid_search_parameter_grids(lr, num_samples=2, pgo=pgo)