DOC Fix sphinx warnings in example (#26633)

Tech-Netiums · web-flow · commit 94c054d0c760 · 2023-06-22T17:08:32.000+02:00
diff --git a/examples/miscellaneous/plot_metadata_routing.py b/examples/miscellaneous/plot_metadata_routing.py
@@ -408,8 +408,8 @@ def predict(self, X, **predict_params):
 
 # %%
 # - Alias only on the sub-estimator. This is useful if we don't want the
-# meta-estimator to use the metadata, and we only want the metadata to be used
-# by the sub-estimator.
+#   meta-estimator to use the metadata, and we only want the metadata to be used
+#   by the sub-estimator.
 est = RouterConsumerClassifier(
     estimator=ExampleClassifier().set_fit_request(sample_weight="aliased_sample_weight")
 ).set_fit_request(sample_weight=True)
@@ -621,9 +621,10 @@ def predict(self, X):
 # want to have a scikit-learn compatible estimator, without depending on the
 # scikit-learn package. If the following conditions are met, you do NOT need to
 # modify your code at all:
-#  - your estimator inherits from :class:`~base.BaseEstimator`
-#  - the parameters consumed by your estimator's methods, e.g. ``fit``, are
-#    explicitly defined in the method's signature, as opposed to being
-#    ``*args`` or ``*kwargs``.
-#  - you do not route any metadata to the underlying objects, i.e. you're not a
-#    *router*.
+#
+# - your estimator inherits from :class:`~base.BaseEstimator`
+# - the parameters consumed by your estimator's methods, e.g. ``fit``, are
+#   explicitly defined in the method's signature, as opposed to being
+#   ``*args`` or ``*kwargs``.
+# - you do not route any metadata to the underlying objects, i.e. you're not a
+#   *router*.
