test_neural_network.py 文件源码

def test_basic(self, single_chunk_classification):
        X, y = single_chunk_classification
        a = nn.ParitalMLPClassifier(classes=[0, 1], random_state=0)
        b = nn_.MLPClassifier(random_state=0)
        a.fit(X, y)
        b.partial_fit(X, y, classes=[0, 1])
        assert_estimator_equal(a, b)