test_bagging.py 文件源码

def test_bagging_sample_weight_unsupported_but_passed():
    estimator = BaggingClassifier(DummyZeroEstimator())
    rng = check_random_state(0)

    estimator.fit(iris.data, iris.target).predict(iris.data)
    assert_raises(ValueError, estimator.fit, iris.data, iris.target,
                  sample_weight=rng.randint(10, size=(iris.data.shape[0])))