test_bagging.py 文件源码

def test_regression():
    # Check regression for various parameter settings.
    rng = check_random_state(0)
    X_train, X_test, y_train, y_test = train_test_split(boston.data[:50],
                                                        boston.target[:50],
                                                        random_state=rng)
    grid = ParameterGrid({"max_samples": [0.5, 1.0],
                          "max_features": [0.5, 1.0],
                          "bootstrap": [True, False],
                          "bootstrap_features": [True, False]})

    for base_estimator in [None,
                           DummyRegressor(),
                           DecisionTreeRegressor(),
                           KNeighborsRegressor(),
                           SVR()]:
        for params in grid:
            BaggingRegressor(base_estimator=base_estimator,
                             random_state=rng,
                             **params).fit(X_train, y_train).predict(X_test)