DOC Ensures that compute_optics_graph passes numpydoc validation (#22205)

ayanbag · jmloyola · web-flow · commit 3db677ff34b8 · 2022-01-21T18:16:56.000+01:00
Co-authored-by: Juan Martin Loyola &lt;jmloyola@outlook.com&gt;
diff --git a/sklearn/cluster/_optics.py b/sklearn/cluster/_optics.py
@@ -405,9 +405,9 @@ def compute_optics_graph(
     Parameters
     ----------
     X : ndarray of shape (n_samples, n_features), or \
-            (n_samples, n_samples) if metric=’precomputed’.
+            (n_samples, n_samples) if metric='precomputed'
         A feature array, or array of distances between samples if
-        metric='precomputed'
+        metric='precomputed'.
 
     min_samples : int > 1 or float between 0 and 1
         The number of samples in a neighborhood for a point to be considered
diff --git a/sklearn/tests/test_docstrings.py b/sklearn/tests/test_docstrings.py
@@ -12,7 +12,6 @@
 numpydoc_validation = pytest.importorskip("numpydoc.validate")
 
 FUNCTION_DOCSTRING_IGNORE_LIST = [
-    "sklearn.cluster._optics.compute_optics_graph",
     "sklearn.cluster._spectral.spectral_clustering",
     "sklearn.covariance._graph_lasso.graphical_lasso",
     "sklearn.covariance._robust_covariance.fast_mcd",
