def test_optimal_mu2(self):
conf_file = 'tests/test_datasets/mu.conf'
offline = Offline(output_name='Pressure', dformat='point')
offline.init_database_from_file(conf_file)
mu = offline.optimal_mu(error=offline.loo_error())
expected_mu = np.array([-0.29334384, -0.23120563])
np.testing.assert_array_almost_equal(mu[0], expected_mu)
def test_optimal_mu2(self):
conf_file = 'tests/test_datasets/mu.conf'
offline = Offline(output_name='Pressure', dformat='point')
offline.init_database_from_file(conf_file)
mu = offline.optimal_mu(error=offline.loo_error())
expected_mu = np.array([-0.29334384, -0.23120563])
np.testing.assert_array_almost_equal(mu[0], expected_mu)
def test_loo_error(self):
conf_file = 'tests/test_datasets/mu.conf'
offline = Offline(output_name='Pressure', dformat='point')
offline.init_database_from_file(conf_file)
error = offline.loo_error()
assert error.shape == (4, )
def test_loo_error2(self):
conf_file = 'tests/test_datasets/mu.conf'
offline = Offline(output_name='Pressure', dformat='point')
offline.init_database_from_file(conf_file)
max_error = np.max(offline.loo_error())
assert isinstance(max_error, float)
def test_loo_error(self):
conf_file = 'tests/test_datasets/mu.conf'
offline = Offline(output_name='Pressure', dformat='point')
offline.init_database_from_file(conf_file)
error = offline.loo_error()
assert error.shape == (4, )
def test_loo_error2(self):
conf_file = 'tests/test_datasets/mu.conf'
offline = Offline(output_name='Pressure', dformat='point')
offline.init_database_from_file(conf_file)
max_error = np.max(offline.loo_error())
assert isinstance(max_error, float)