test_passive_aggressive.py 文件源码

def test_classifier_partial_fit():
    classes = np.unique(y)
    for data in (X, X_csr):
        clf = PassiveAggressiveClassifier(C=1.0,
                                          fit_intercept=True,
                                          random_state=0)
        for t in range(30):
            clf.partial_fit(data, y, classes)
        score = clf.score(data, y)
        assert_greater(score, 0.79)