====================================== test session starts ======================================
platform linux -- Python 3.8.5, pytest-6.2.4, py-1.10.0, pluggy-0.13.1
rootdir: /.../.../scikit-learn, configfile: setup.cfg
plugins: cov-2.12.1, anyio-2.2.0
collected 1760 items / 1752 deselected / 8 selected                                             

maint_tools/test_docstrings.py ..F.....                                                   [100%]

=========================================== FAILURES ============================================
_______________________ test_docstring[FeatureAgglomeration-fit_predict] ________________________

Estimator = <class 'sklearn.cluster._agglomerative.FeatureAgglomeration'>, method = 'fit_predict'
request = <FixtureRequest for <Function test_docstring[FeatureAgglomeration-fit_predict]>>

    @pytest.mark.parametrize("Estimator, method", get_all_methods())
    def test_docstring(Estimator, method, request):
        base_import_path = Estimator.__module__
        import_path = [base_import_path, Estimator.__name__]
        if method is not None:
            import_path.append(method)
    
        import_path = ".".join(import_path)
    
        if Estimator.__name__ in DOCSTRING_IGNORE_LIST:
            request.applymarker(
                pytest.mark.xfail(run=False, reason="TODO pass numpydoc validation")
            )
    
        res = numpydoc_validation.validate(import_path)
    
        res["errors"] = list(filter_errors(res["errors"], method, Estimator=Estimator))
    
        if res["errors"]:
            msg = repr_errors(res, Estimator, method)
    
>           raise ValueError(msg)
E           ValueError: 
E           
E           None
E           
E           FeatureAgglomeration.fit_predict
E           Parsing of the method signature failed, possibly because this is a property.
E           
E           Fit the hierarchical clustering from features or distance matrix,
E           and return cluster labels.
E           
E           Parameters
E           ----------
E           X : array-like of shape (n_samples, n_features) or                 (n_samples, n_samples)
E               Training instances to cluster, or distances between instances if
E               ``affinity='precomputed'``.
E           
E           y : Ignored
E               Not used, present here for API consistency by convention.
E           
E           Returns
E           -------
E           labels : ndarray of shape (n_samples,)
E               Cluster labels.
E           
E           # Errors
E           
E            - GL08: The object does not have a docstring

maint_tools/test_docstrings.py:252: ValueError
========================= 1 failed, 7 passed, 1752 deselected in 1.03s ==========================