def test_non_meta_estimators():
for name, Estimator in all_estimators():
estimator = Estimator()
if name == 'kmodes':
for check in _yield_all_checks(name, Estimator):
# Skip these
if hasattr(check, '__name__'):
if check.__name__ not in ('check_clustering',
'check_dtype_object'):
yield _named_check(check, name), name, estimator
else:
yield check, name, estimator
elif name == 'kprototypes':
for check in _yield_all_checks(name, Estimator):
# Only do these
if hasattr(check, '__name__') and check.__name__ in (
'check_estimator_sparse_data',
'check_clusterer_compute_labels_predict',
'check_estimators_partial_fit_n_features'):
yield _named_check(check, name), name, estimator
def test_all_estimators():
estimators = all_estimators()
# Meta sanity-check to make sure that the estimator introspection runs
# properly
assert_greater(len(estimators), 0)
for name, Estimator in estimators:
# some can just not be sensibly default constructed
yield (_named_check(check_parameters_default_constructible,
name), name, Estimator)
def test_all_estimators():
estimators = all_estimators()
# Meta sanity-check to make sure that the estimator introspection runs
# properly
assert_greater(len(estimators), 0)
for name, Estimator in estimators:
# some can just not be sensibly default constructed
yield (_named_check(check_parameters_default_constructible, name),
name, Estimator)
def test_non_meta_estimators():
for name, Estimator in all_estimators():
if name == 'kmodes':
relevant_checks = KMODES_INCLUDE_CHECKS
elif name == 'kprototypes':
relevant_checks = KPROTOTYPES_INCLUDE_CHECKS
else:
raise NotImplementedError
estimator = Estimator()
for check in _yield_all_checks(name, estimator):
if hasattr(check, '__name__') and check.__name__ in relevant_checks:
yield _named_check(check, name), name, estimator
def test_non_meta_estimators():
for name, Estimator in all_estimators():
estimator = Estimator()
if name == 'kmodes':
for check in _yield_all_checks(name, Estimator):
# Skip these
if hasattr(check, '__name__'):
if check.__name__ not in ('check_clustering',
'check_dtype_object'):
yield _named_check(check, name), name, estimator
else:
yield check, name, estimator
elif name == 'kprototypes':
for check in _yield_all_checks(name, Estimator):
# Only do these
if hasattr(check, '__name__') and check.__name__ in (
'check_estimator_sparse_data',
'check_clusterer_compute_labels_predict',
'check_estimators_partial_fit_n_features'
):
yield _named_check(check, name), name, estimator
def test_all_estimators():
for name, Estimator in all_estimators():
return (_named_check(check_parameters_default_constructible,
name), name, Estimator())