Ejemplo n.º 1
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def test_generate_code_custom(test_classes):
    MockComponent, MockEstimator, MockTransformer = test_classes

    expected_code = "mockComponent = MockComponent(**{})"
    component_code = generate_component_code(MockComponent())
    assert component_code == expected_code

    expected_code = "mockEstimator = MockEstimator(**{})"
    component_code = generate_component_code(MockEstimator())
    assert component_code == expected_code

    expected_code = "mockTransformer = MockTransformer(**{})"
    component_code = generate_component_code(MockTransformer())
    assert component_code == expected_code
Ejemplo n.º 2
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def test_generate_code():
    expected_code = "from evalml.pipelines.components.estimators.classifiers.logistic_regression import LogisticRegressionClassifier" \
                    "\n\nlogisticRegressionClassifier = LogisticRegressionClassifier(**{'penalty': 'l2', 'C': 1.0, 'n_jobs': -1, 'multi_class': 'auto', 'solver': 'lbfgs'})"
    component_code = generate_component_code(LogisticRegressionClassifier())
    assert component_code == expected_code

    expected_code = "from evalml.pipelines.components.estimators.regressors.et_regressor import ExtraTreesRegressor" \
                    "\n\nextraTreesRegressor = ExtraTreesRegressor(**{'n_estimators': 50, 'max_features': 'auto', 'max_depth': 6, 'min_samples_split': 2, 'min_weight_fraction_leaf': 0.0, 'n_jobs': -1})"
    component_code = generate_component_code(ExtraTreesRegressor(n_estimators=50))
    assert component_code == expected_code

    expected_code = "from evalml.pipelines.components.transformers.imputers.imputer import Imputer" \
                    "\n\nimputer = Imputer(**{'categorical_impute_strategy': 'most_frequent', 'numeric_impute_strategy': 'mean', 'categorical_fill_value': None, 'numeric_fill_value': None})"
    component_code = generate_component_code(Imputer())
    assert component_code == expected_code
Ejemplo n.º 3
0
def test_generate_code_errors():
    with pytest.raises(ValueError, match="Element must be a component instance"):
        generate_component_code(make_pipeline_from_components([RandomForestClassifier()], ProblemTypes.BINARY))

    with pytest.raises(ValueError, match="Element must be a component instance"):
        generate_component_code(LinearRegressor)

    with pytest.raises(ValueError, match="Element must be a component instance"):
        generate_component_code(Imputer)

    with pytest.raises(ValueError, match="Element must be a component instance"):
        generate_component_code(ComponentBase)