e74e03294af942a6c82a7b482f517567e330dee5,sklearn/tree/tests/test_tree.py,,test_max_features,#,425

Before Change

        assert_raises(ValueError, est.fit, X, y)

        est = TreeEstimator(max_features=1.5)
        assert_raises(ValueError, est.fit, X, y)

        est = TreeEstimator(max_features="foobar")
        assert_raises(ValueError, est.fit, X, y)

After Change

        // use values of max_features that are invalid
        est = TreeEstimator(max_features=10)
        with pytest.raises(ValueError):
            est.fit(X, y)

        est = TreeEstimator(max_features=-1)
        with pytest.raises(ValueError):
            est.fit(X, y)

        est = TreeEstimator(max_features=0.0)
        with pytest.raises(ValueError):
            est.fit(X, y)

        est = TreeEstimator(max_features=1.5)
        with pytest.raises(ValueError):
            est.fit(X, y)

        est = TreeEstimator(max_features="foobar")
        with pytest.raises(ValueError):
            est.fit(X, y)


def test_error():
    // Test that it gives proper exception on deficient input.
    for name, TreeEstimator in CLF_TREES.items():
        // predict before fit

Instances