Pushing the docs to dev/ for branch: main, commit 94c054d0c760145a2699af6e189d17960c3d9f77

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: 30e0077f27abac71be90e5859f622d02
+config: a79876df52c6cf37e3784905a35991c8
 tags: 645f666f9bcd5a90fca523b33c5a78b7

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -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*.

dev/_downloads/35686e86ab04c9899b73acd07be52bc7/plot_metadata_routing.py

@@ -450,7 +450,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "- Alias only on the sub-estimator. This is useful if we don't want the\nmeta-estimator to use the metadata, and we only want the metadata to be used\nby the sub-estimator.\n\n"
+        "- Alias only on the sub-estimator. This is useful if we don't want the\n  meta-estimator to use the metadata, and we only want the metadata to be used\n  by the sub-estimator.\n\n"
       ]
     },
     {
@@ -612,7 +612,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Third Party Development and scikit-learn Dependency\n\nAs seen above, information is communicated between classes using\n:class:`~utils.metadata_routing.MetadataRequest` and\n:class:`~utils.metadata_routing.MetadataRouter`. It is strongly not advised,\nbut possible to vendor the tools related to metadata-routing if you strictly\nwant to have a scikit-learn compatible estimator, without depending on the\nscikit-learn package. If the following conditions are met, you do NOT need to\nmodify your code at all:\n - your estimator inherits from :class:`~base.BaseEstimator`\n - the parameters consumed by your estimator's methods, e.g. ``fit``, are\n   explicitly defined in the method's signature, as opposed to being\n   ``*args`` or ``*kwargs``.\n - you do not route any metadata to the underlying objects, i.e. you're not a\n   *router*.\n\n"
+        "## Third Party Development and scikit-learn Dependency\n\nAs seen above, information is communicated between classes using\n:class:`~utils.metadata_routing.MetadataRequest` and\n:class:`~utils.metadata_routing.MetadataRouter`. It is strongly not advised,\nbut possible to vendor the tools related to metadata-routing if you strictly\nwant to have a scikit-learn compatible estimator, without depending on the\nscikit-learn package. If the following conditions are met, you do NOT need to\nmodify your code at all:\n\n- your estimator inherits from :class:`~base.BaseEstimator`\n- the parameters consumed by your estimator's methods, e.g. ``fit``, are\n  explicitly defined in the method's signature, as opposed to being\n  ``*args`` or ``*kwargs``.\n- you do not route any metadata to the underlying objects, i.e. you're not a\n  *router*.\n\n"
       ]
     }
   ],