def test_multiple_issues_warning(self):
if use_assert_warns:
with self.assertWarns(UserWarning):
tica_nystroem(data=np.random.rand(100, 10),
lag=1,
max_columns=11,
nsel=3,
initial_columns=np.random.choice(10,
2,
replace=False))
def test_single_issues_warning(self):
if use_assert_warns:
with self.assertLogs(level='WARNING'):
t = tica_nystroem(data=self.data,
lag=1,
max_columns=12,
initial_columns=self.initial_columns)
else:
t = tica_nystroem(data=self.data,
lag=1,
max_columns=12,
initial_columns=self.initial_columns)
self._compare_tica(t)
def test_multiple(self):
t = tica_nystroem(data=self.data,
lag=1,
max_columns=11,
nsel=3,
initial_columns=self.initial_columns)
self._compare_tica(t)
def test(self):
t = tica_nystroem(data=self.Z,
lag=self.lag,
max_columns=10,
initial_columns=np.array([91]))
np.testing.assert_allclose(t.cov, self.tica_obj.cov[:,
t.column_indices])
np.testing.assert_allclose(t.cov_tau,
self.tica_obj.cov_tau[:, t.column_indices])
assert np.all(
np.abs(self.tica_obj.eigenvalues[:4] - t.eigenvalues[:4]) < 1e-3)
def test_describe(self):
# just check there is no exception
tica_nystroem(max_columns=2).describe()
tica_nystroem(max_columns=2, data=np.random.random((100, 10)))