def test_predict_proba_instance_called(index): query = np.atleast_2d([1, 1]) ds_test = DS(create_pool_classifiers(), with_IH=True, IH_rate=0.10) ds_test.fit(X_dsel_ex1, y_dsel_ex1) ds_test.neighbors = neighbors_ex1[index, :] ds_test.distances = distances_ex1[index, :] ds_test.predict_proba_instance = MagicMock(return_value=np.atleast_2d([0.25, 0.75])) proba = ds_test.predict_proba(query) assert np.isclose(proba, np.atleast_2d([0.25, 0.75])).all()
def test_predict_proba_DFP(): query = np.atleast_2d([1, 1]) ds_test = DS(create_pool_classifiers(), DFP=True, safe_k=3) ds_test.fit(X_dsel_ex1, y_dsel_ex1) # change the state of the system ds_test.processed_dsel = dsel_processed_ex1 ds_test.DSEL_target = y_dsel_ex1 ds_test.DSEL_data = X_dsel_ex1 ds_test.neighbors = neighbors_ex1[0, :] ds_test.distances = distances_ex1[0, :] ds_test.predict_proba_instance = MagicMock(return_value=np.atleast_2d([0.25, 0.75])) ds_test.predict_proba(query) assert np.array_equal(ds_test.DFP_mask, np.array([1, 1, 0]))