bd53f54fb666459dc54af4de52032a65fca551be,sklearn/tests/test_multiclass.py,,test_ovr_single_label_predict_proba,#,376

Before Change

    assert_almost_equal(Y_proba.sum(axis=1), 1.0)
    // predict assigns a label if the probability that the
    // sample has the label is greater than 0.5.
    pred = np.array([l.argmax() for l in Y_proba])
    assert not (pred - Y_pred).any()


def test_ovr_multilabel_decision_function():

After Change

    assert_almost_equal(Y_proba.sum(axis=1), 1.0)
    // predict assigns a label if the probability that the
    // sample has the label with the greatest predictive probability.
    pred = Y_proba.argmax(axis=1)
    assert not (pred - Y_pred).any()


def test_ovr_multilabel_decision_function():

Instances