Pushing the docs to dev/ for branch: main, commit 2f5361a4b58c6c084f244b5266dc1db250ec7582

Author: sklearn-ci

dev/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 808e5a0439a18751e92fa205c4ef0529
+config: 8da448151240cbfeebca944cfda55365
 tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -619,6 +619,11 @@ def predict(self, X):
 for w in record:
     print(w.message)
 
+# %%
+# In the end, we disable the configuration flag for metadata routing:
+
+set_config(enable_metadata_routing=False)
+
 # %%
 # Third Party Development and scikit-learn Dependency
 # ---------------------------------------------------

dev/_downloads/35686e86ab04c9899b73acd07be52bc7/plot_metadata_routing.py

@@ -608,6 +608,24 @@
         "class ExampleRegressor(RegressorMixin, BaseEstimator):\n    __metadata_request__fit = {\"sample_weight\": metadata_routing.WARN}\n\n    def fit(self, X, y, sample_weight=None):\n        check_metadata(self, sample_weight=sample_weight)\n        return self\n\n    def predict(self, X):\n        return np.zeros(shape=(len(X)))\n\n\nwith warnings.catch_warnings(record=True) as record:\n    MetaRegressor(estimator=ExampleRegressor()).fit(X, y, sample_weight=my_weights)\nfor w in record:\n    print(w.message)"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "In the end, we disable the configuration flag for metadata routing:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "set_config(enable_metadata_routing=False)"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},