def METHOD_NAME():
    w = np.array([[1.2], [4.4]])
    b = np.array([0.52])
    lr = LogisticRegression(epochs=100, eta=0.01, minibatches=1, random_seed=1)
    lr.fit(X, y)
    np.testing.assert_almost_equal(lr.w_, w, 2)
    np.testing.assert_almost_equal(lr.b_, b, 2)
    y_pred = lr.predict(X)
    acc = np.sum(y == y_pred, axis=0) / float(X.shape[0])
    assert acc == 1.0, "Acc: %s" % acc