Python _check_gcv_mode Exemples

Exemple #1

Fichier : test_ridge.py Projet : sju777/scikit-learn

def test_check_gcv_mode_choice(sparse, mode, mode_n_greater_than_p,
                               mode_p_greater_than_n):
    X, _ = make_linear_regression(n_samples=5, n_features=2)
    if sparse:
        X = sp.csr_matrix(X)
    assert _check_gcv_mode(X, mode) == mode_n_greater_than_p
    assert _check_gcv_mode(X.T, mode) == mode_p_greater_than_n

Exemple #2

Fichier : test_ridge.py Projet : manhhomienbienthuy/scikit-learn

def test_check_gcv_mode_choice(sparse, mode, mode_n_greater_than_p,
                               mode_p_greater_than_n):
    X, _ = make_regression(n_samples=5, n_features=2)
    if sparse:
        X = sp.csr_matrix(X)
    assert _check_gcv_mode(X, mode) == mode_n_greater_than_p
    assert _check_gcv_mode(X.T, mode) == mode_p_greater_than_n

Exemple #3

Fichier : test_ridge.py Projet : sju777/scikit-learn

def test_check_gcv_mode_error(mode):
    X, y = make_linear_regression(n_samples=5, n_features=2)
    gcv = RidgeCV(gcv_mode=mode)
    with pytest.raises(ValueError, match="Unknown value for 'gcv_mode'"):
        gcv.fit(X, y)
    with pytest.raises(ValueError, match="Unknown value for 'gcv_mode'"):
        _check_gcv_mode(X, mode)

Exemple #4

Fichier : test_ridge.py Projet : manhhomienbienthuy/scikit-learn

def test_check_gcv_mode_error(mode):
    X, y = make_regression(n_samples=5, n_features=2)
    gcv = RidgeCV(gcv_mode=mode)
    with pytest.raises(ValueError, match="Unknown value for 'gcv_mode'"):
        gcv.fit(X, y)
    with pytest.raises(ValueError, match="Unknown value for 'gcv_mode'"):
        _check_gcv_mode(X, mode)