def test_call(self):
cv = testing.LeaveOneOut()
nrows, ncols = 100, 10
t = random_data(nrows, ncols)
res = cv(t, [naive_bayes.BayesLearner()])
y = t.Y
np.testing.assert_equal(res.actual, y[res.row_indices].reshape(nrows))
np.testing.assert_equal(res.predicted[0],
y[res.row_indices].reshape(nrows))
np.testing.assert_equal(np.argmax(res.probabilities[0], axis=1),
y[res.row_indices].reshape(nrows))
def test_no_data(self):
self.assertRaises(TypeError, testing.CrossValidation,
fitters=[naive_bayes.BayesLearner()])
