Example #1
0
def test_saga_score():
    X, y = make_classification(1000, random_state=0)

    pysaga = PySAGAClassifier(eta=1e-3, alpha=0.0, beta=0.0, max_iter=1, penalty=None, random_state=0)
    saga = SAGAClassifier(eta=1e-3, alpha=0.0, beta=0.0, max_iter=1, penalty=None, random_state=0)

    pysaga.fit(X, y)
    saga.fit(X, y)
    assert_equal(pysaga.score(X, y), saga.score(X, y))
Example #2
0
def test_saga_score():
    X, y = make_classification(1000, random_state=0)

    pysaga = PySAGAClassifier(eta=1e-3, alpha=0.0, beta=0.0, max_iter=1,
                              penalty=None, random_state=0)
    saga = SAGAClassifier(eta=1e-3, alpha=0.0, beta=0.0, max_iter=1,
                          penalty=None, random_state=0)

    pysaga.fit(X, y)
    saga.fit(X, y)
    assert_equal(pysaga.score(X, y), saga.score(X, y))