def METHOD_NAME():
    w = np.array([[1.2], [4.4]])
    b = np.array([0.52])
    lr = LogisticRegression(epochs=50, eta=0.01, minibatches=1, random_seed=1)
    lr.fit(X, y)
    w1 = lr.w_[0][0]
    w2 = lr.w_[0][0]
    lr.fit(X, y, init_params=False)
    assert w1 != lr.w_[0][0]
    assert w2 != lr.w_[1][0]
    np.testing.assert_almost_equal(lr.w_, w, 2)
    np.testing.assert_almost_equal(lr.b_, b, 2)