e706526aef384392be0395e7c69e3795289ada11,nilearn/decoding/tests/test_same_api.py,,test_lipschitz_constant_lass_logreg,#,76

Before Change

    rng = check_random_state(42)
    l1_ratio = 1.
    alpha = .1
    n, p = 4, 10
    X = rng.randn(n, p)
    mask = np.ones(X.shape[1]).astype(np.bool)
    grad_weight = alpha * X.shape[0] * (1. - l1_ratio)
    a = logistic_derivative_lipschitz_constant(X, mask, grad_weight)
    b = logistic_loss_lipschitz_constant(X)

After Change

def test_lipschitz_constant_lass_logreg():
    rng = check_random_state(42)
    X, y, w, mask = _make_data(rng=rng, masked=True)
    l1_ratio = 1.
    alpha = .1
    grad_weight = alpha * X.shape[0] * (1. - l1_ratio)
    a = logistic_derivative_lipschitz_constant(X, mask, grad_weight)

Instances