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convert external source tests to pytest
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Oege Dijk
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May 8, 2022
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,143 +1,144 @@ | ||
| import pandas as pd | ||
| import unittest | ||
| import pytest | ||
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| from sklearn.ensemble import RandomForestClassifier, RandomForestRegressor | ||
| import pandas as pd | ||
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| from explainerdashboard.explainers import ClassifierExplainer, RegressionExplainer | ||
| from explainerdashboard.datasets import titanic_survive, titanic_fare | ||
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| class ExternalSourceClassifierTests(unittest.TestCase): | ||
| def setUp(self): | ||
| X_train, y_train, X_test, y_test = titanic_survive() | ||
| model = RandomForestClassifier(n_estimators=50, max_depth=4).fit(X_train, y_train) | ||
| @pytest.fixture(scope='session') | ||
| def classifier_explainer_with_external_data(fitted_rf_classifier_model): | ||
| _, _, X_test, y_test = titanic_survive() | ||
| X_test.reset_index(drop=True, inplace=True) | ||
| X_test.index = X_test.index.astype(str) | ||
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| X_test1, y_test1 = X_test.iloc[:100], y_test.iloc[:100] | ||
| X_test2, y_test2 = X_test.iloc[100:], y_test.iloc[100:] | ||
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| explainer = ClassifierExplainer(fitted_rf_classifier_model, X_test1, y_test1, cats=['Sex', 'Deck']) | ||
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| def index_exists_func(index): | ||
| return index in X_test2.index | ||
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| def index_list_func(): | ||
| # only returns first 50 indexes | ||
| return list(X_test2.index[:50]) | ||
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| def y_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return y_test2.iloc[[idx]] | ||
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| def X_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return X_test2.iloc[[idx]] | ||
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| explainer.set_index_exists_func(index_exists_func) | ||
| explainer.set_index_list_func(index_list_func) | ||
| explainer.set_X_row_func(X_func) | ||
| explainer.set_y_func(y_func) | ||
| return explainer | ||
|
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| @pytest.fixture(scope='session') | ||
| def regression_explainer_with_external_data(fitted_rf_regression_model): | ||
| _, _, X_test, y_test = titanic_fare() | ||
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| X_test.reset_index(drop=True, inplace=True) | ||
| X_test.index = X_test.index.astype(str) | ||
|
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| X_test1, y_test1 = X_test.iloc[:100], y_test.iloc[:100] | ||
| X_test2, y_test2 = X_test.iloc[100:], y_test.iloc[100:] | ||
|
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| explainer = RegressionExplainer(fitted_rf_regression_model, X_test1, y_test1, cats=['Sex', 'Deck']) | ||
|
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| def index_exists_func(index): | ||
| return index in X_test2.index | ||
|
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| def index_list_func(): | ||
| # only returns first 50 indexes | ||
| return list(X_test2.index[:50]) | ||
|
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| def y_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return y_test2.iloc[[idx]] | ||
|
|
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| def X_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return X_test2.iloc[[idx]] | ||
|
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| explainer.set_index_exists_func(index_exists_func) | ||
| explainer.set_index_list_func(index_list_func) | ||
| explainer.set_X_row_func(X_func) | ||
| explainer.set_y_func(y_func) | ||
| return explainer | ||
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| def test_clas_externalsource_get_X_row(classifier_explainer_with_external_data): | ||
| assert isinstance(classifier_explainer_with_external_data.get_X_row(0), pd.DataFrame) | ||
| assert isinstance(classifier_explainer_with_external_data.get_X_row("0"), pd.DataFrame) | ||
| assert isinstance(classifier_explainer_with_external_data.get_X_row("120"), pd.DataFrame) | ||
| assert isinstance(classifier_explainer_with_external_data.get_X_row("150"), pd.DataFrame) | ||
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| def test_clas_externalsource_get_shap_row(classifier_explainer_with_external_data): | ||
| assert isinstance(classifier_explainer_with_external_data.get_shap_row(0), pd.DataFrame) | ||
| assert isinstance(classifier_explainer_with_external_data.get_shap_row("0"), pd.DataFrame) | ||
| assert isinstance(classifier_explainer_with_external_data.get_shap_row("120"), pd.DataFrame) | ||
| assert isinstance(classifier_explainer_with_external_data.get_shap_row("150"), pd.DataFrame) | ||
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| X_test.reset_index(drop=True, inplace=True) | ||
| X_test.index = X_test.index.astype(str) | ||
| def test_clas_externalsource_get_y(classifier_explainer_with_external_data): | ||
| assert isinstance(classifier_explainer_with_external_data.get_y(0), int) | ||
| assert isinstance(classifier_explainer_with_external_data.get_y("0"), int) | ||
| assert isinstance(classifier_explainer_with_external_data.get_y("120"), int) | ||
| assert isinstance(classifier_explainer_with_external_data.get_y("150"), int) | ||
|
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| X_test1, y_test1 = X_test.iloc[:100], y_test.iloc[:100] | ||
| X_test2, y_test2 = X_test.iloc[100:], y_test.iloc[100:] | ||
| def test_clas_externalsource_index_list(classifier_explainer_with_external_data): | ||
| index_list = classifier_explainer_with_external_data.get_index_list() | ||
| assert ('100' in index_list) | ||
| assert (not '160'in index_list) | ||
|
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| self.explainer = ClassifierExplainer(model, X_test1, y_test1, cats=['Sex', 'Deck']) | ||
| def test_clas_externalsource_index_exists(classifier_explainer_with_external_data): | ||
| assert (classifier_explainer_with_external_data.index_exists("0")) | ||
| assert (classifier_explainer_with_external_data.index_exists("100")) | ||
| assert (classifier_explainer_with_external_data.index_exists("160")) | ||
| assert (classifier_explainer_with_external_data.index_exists(0)) | ||
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| def index_exists_func(index): | ||
| return index in X_test2.index | ||
| assert (not classifier_explainer_with_external_data.index_exists(-1)) | ||
| assert (not classifier_explainer_with_external_data.index_exists(120)) | ||
| assert (not classifier_explainer_with_external_data.index_exists("wrong index")) | ||
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| def index_list_func(): | ||
| # only returns first 50 indexes | ||
| return list(X_test2.index[:50]) | ||
|
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| def y_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return y_test2.iloc[[idx]] | ||
|
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| def X_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return X_test2.iloc[[idx]] | ||
|
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| self.explainer.set_index_exists_func(index_exists_func) | ||
| self.explainer.set_index_list_func(index_list_func) | ||
| self.explainer.set_X_row_func(X_func) | ||
| self.explainer.set_y_func(y_func) | ||
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| def test_get_X_row(self): | ||
| self.assertIsInstance(self.explainer.get_X_row(0), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_X_row("0"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_X_row("120"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_X_row("150"), pd.DataFrame) | ||
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| def test_get_shap_row(self): | ||
| self.assertIsInstance(self.explainer.get_shap_row(0), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_shap_row("0"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_shap_row("120"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_shap_row("150"), pd.DataFrame) | ||
|
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| def test_get_y(self): | ||
| self.assertIsInstance(self.explainer.get_y(0), int) | ||
| self.assertIsInstance(self.explainer.get_y("0"), int) | ||
| self.assertIsInstance(self.explainer.get_y("120"), int) | ||
| self.assertIsInstance(self.explainer.get_y("150"), int) | ||
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| def test_index_list(self): | ||
| index_list = self.explainer.get_index_list() | ||
| self.assertIn('100', index_list) | ||
| self.assertNotIn('160', index_list) | ||
|
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| def test_index_exists(self): | ||
| self.assertTrue(self.explainer.index_exists("0")) | ||
| self.assertTrue(self.explainer.index_exists("100")) | ||
| self.assertTrue(self.explainer.index_exists("160")) | ||
| self.assertTrue(self.explainer.index_exists(0)) | ||
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| self.assertFalse(self.explainer.index_exists(-1)) | ||
| self.assertFalse(self.explainer.index_exists(120)) | ||
| self.assertFalse(self.explainer.index_exists("wrong index")) | ||
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| class ExternalSourceRegressionTests(unittest.TestCase): | ||
| def setUp(self): | ||
| X_train, y_train, X_test, y_test = titanic_fare() | ||
| model = RandomForestRegressor(n_estimators=50, max_depth=4).fit(X_train, y_train) | ||
|
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| X_test.reset_index(drop=True, inplace=True) | ||
| X_test.index = X_test.index.astype(str) | ||
|
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| X_test1, y_test1 = X_test.iloc[:100], y_test.iloc[:100] | ||
| X_test2, y_test2 = X_test.iloc[100:], y_test.iloc[100:] | ||
|
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| self.explainer = RegressionExplainer(model, X_test1, y_test1, cats=['Sex', 'Deck']) | ||
|
|
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| def index_exists_func(index): | ||
| return index in X_test2.index | ||
|
|
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| def index_list_func(): | ||
| # only returns first 50 indexes | ||
| return list(X_test2.index[:50]) | ||
|
|
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| def y_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return y_test2.iloc[[idx]] | ||
|
|
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| def X_func(index): | ||
| idx = X_test2.index.get_loc(index) | ||
| return X_test2.iloc[[idx]] | ||
|
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| self.explainer.set_index_exists_func(index_exists_func) | ||
| self.explainer.set_index_list_func(index_list_func) | ||
| self.explainer.set_X_row_func(X_func) | ||
| self.explainer.set_y_func(y_func) | ||
|
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| def test_get_X_row(self): | ||
| self.assertIsInstance(self.explainer.get_X_row(0), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_X_row("0"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_X_row("120"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_X_row("150"), pd.DataFrame) | ||
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| def test_get_shap_row(self): | ||
| self.assertIsInstance(self.explainer.get_shap_row(0), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_shap_row("0"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_shap_row("120"), pd.DataFrame) | ||
| self.assertIsInstance(self.explainer.get_shap_row("150"), pd.DataFrame) | ||
|
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| def test_get_y(self): | ||
| self.assertIsInstance(self.explainer.get_y(0), float) | ||
| self.assertIsInstance(self.explainer.get_y("0"), float) | ||
| self.assertIsInstance(self.explainer.get_y("120"), float) | ||
| self.assertIsInstance(self.explainer.get_y("150"), float) | ||
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| def test_index_list(self): | ||
| index_list = self.explainer.get_index_list() | ||
| self.assertIn('100', index_list) | ||
| self.assertNotIn('160', index_list) | ||
|
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| def test_index_exists(self): | ||
| self.assertTrue(self.explainer.index_exists("0")) | ||
| self.assertTrue(self.explainer.index_exists("100")) | ||
| self.assertTrue(self.explainer.index_exists("160")) | ||
| self.assertTrue(self.explainer.index_exists(0)) | ||
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| self.assertFalse(self.explainer.index_exists(-1)) | ||
| self.assertFalse(self.explainer.index_exists(120)) | ||
| self.assertFalse(self.explainer.index_exists("wrong index")) | ||
|
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| def test_reg_externalsource_get_X_row(regression_explainer_with_external_data): | ||
| assert isinstance(regression_explainer_with_external_data.get_X_row(0), pd.DataFrame) | ||
| assert isinstance(regression_explainer_with_external_data.get_X_row("0"), pd.DataFrame) | ||
| assert isinstance(regression_explainer_with_external_data.get_X_row("120"), pd.DataFrame) | ||
| assert isinstance(regression_explainer_with_external_data.get_X_row("150"), pd.DataFrame) | ||
|
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| def test_reg_externalsource_get_shap_row(regression_explainer_with_external_data): | ||
| assert isinstance(regression_explainer_with_external_data.get_shap_row(0), pd.DataFrame) | ||
| assert isinstance(regression_explainer_with_external_data.get_shap_row("0"), pd.DataFrame) | ||
| assert isinstance(regression_explainer_with_external_data.get_shap_row("120"), pd.DataFrame) | ||
| assert isinstance(regression_explainer_with_external_data.get_shap_row("150"), pd.DataFrame) | ||
|
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| def test_reg_externalsource_get_y(regression_explainer_with_external_data): | ||
| assert isinstance(regression_explainer_with_external_data.get_y(0), float) | ||
| assert isinstance(regression_explainer_with_external_data.get_y("0"), float) | ||
| assert isinstance(regression_explainer_with_external_data.get_y("120"), float) | ||
| assert isinstance(regression_explainer_with_external_data.get_y("150"), float) | ||
|
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| def test_reg_externalsource_index_list(regression_explainer_with_external_data): | ||
| index_list = regression_explainer_with_external_data.get_index_list() | ||
| assert ('100' in index_list) | ||
| assert (not '160' in index_list) | ||
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| def test_reg_externalsource_index_exists(regression_explainer_with_external_data): | ||
| assert (regression_explainer_with_external_data.index_exists("0")) | ||
| assert (regression_explainer_with_external_data.index_exists("100")) | ||
| assert (regression_explainer_with_external_data.index_exists("160")) | ||
| assert (regression_explainer_with_external_data.index_exists(0)) | ||
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| assert (not regression_explainer_with_external_data.index_exists(-1)) | ||
| assert (not regression_explainer_with_external_data.index_exists(120)) | ||
| assert (not regression_explainer_with_external_data.index_exists("wrong index")) | ||
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