test_penalties.py 文件源码

def test_single_spline_penalty():
    """
    check that feature functions with only 1 basis are penalized correctly

    derivative penalty should be 0.
    l2 should penalty be 1.
    monotonic_ and convexity_ should be 0.
    """
    coef = np.array(1.)
    assert(np.alltrue(derivative(1, coef).A == 0.))
    assert(np.alltrue(l2(1, coef).A == 1.))
    assert(np.alltrue(monotonic_inc(1, coef).A == 0.))
    assert(np.alltrue(monotonic_dec(1, coef).A == 0.))
    assert(np.alltrue(convex(1, coef).A == 0.))
    assert(np.alltrue(concave(1, coef).A == 0.))
    assert(np.alltrue(circular(1, coef).A == 0.))
    assert(np.alltrue(none(1, coef).A == 0.))