Esempi in Python per adaptive_parzen_normal_orig

Esempio n. 1

File: test_tpe.py Progetto: dodgejesse/random_search_using_discrete_dpp

def test_adaptive_parzen_normal_orig():
    rng = np.random.RandomState(123)

    prior_mu = 7
    prior_sigma = 2
    mus = rng.randn(10) + 5

    weights2, mus2, sigmas2 = adaptive_parzen_normal_orig(
        mus, 3.3, prior_mu, prior_sigma)

    print weights2
    print mus2
    print sigmas2

    assert len(weights2) == len(mus2) == len(sigmas2) == 11
    assert np.all(weights2[0] > weights2[1:])
    assert mus2[0] == 7
    assert np.all(mus2[1:] == mus)
    assert sigmas2[0] == 2

Esempio n. 2

File: test_tpe.py Progetto: AshBT/hyperopt

def test_adaptive_parzen_normal_orig():
    rng = np.random.RandomState(123)

    prior_mu = 7
    prior_sigma = 2
    mus = rng.randn(10) + 5

    weights2, mus2, sigmas2 = adaptive_parzen_normal_orig(
            mus, 3.3, prior_mu, prior_sigma)

    print weights2
    print mus2
    print sigmas2

    assert len(weights2) == len(mus2) == len(sigmas2) == 11
    assert np.all(weights2[0] > weights2[1:])
    assert mus2[0] == 7
    assert np.all(mus2[1:] == mus)
    assert sigmas2[0] == 2

Esempio n. 3

File: test_tpe.py Progetto: vishalbelsare/hyperopt

def test_adaptive_parzen_normal_orig():
    rng = np.random.default_rng(123)

    prior_mu = 7
    prior_sigma = 2
    mus = rng.standard_normal(10) + 5

    weights2, mus2, sigmas2 = adaptive_parzen_normal_orig(
        mus, 3.3, prior_mu, prior_sigma)

    print(weights2)
    print(mus2)
    print(sigmas2)

    assert len(weights2) == len(mus2) == len(sigmas2) == 11
    assert np.all(weights2[0] > weights2[1:])
    assert mus2[0] == 7
    assert np.all(mus2[1:] == mus)
    assert sigmas2[0] == 2