DOC Update changelog before the 1.2.1 release (#25436)

doc/whats_new/v1.2.rst

@@ -22,6 +22,20 @@ random sampling procedures.
   into account.
   :pr:`25354` by :user:`Jérémie du Boisberranger <jeremiedbb>`.
 
+- |Fix| The `categories_` attribute of :class:`preprocessing.OneHotEncoder` now
+  always contains an array of `object`s when using predefined categories that
+  are strings. Predefined categories encoded as bytes will no longer work
+  with `X` encoded as strings. :pr:`25174` by :user:`Tim Head <betatim>`.
+
+Changes impacting all modules
+-----------------------------
+
+- |Fix| Support `pandas.Int64` dtyped `y` for classifiers and regressors.
+  :pr:`25089` by :user:`Tim Head <betatim>`.
+
+- |Fix| Remove spurious warnings for estimators internally using neighbors search methods.
+  :pr:`25129` by :user:`Julien Jerphanion <jjerphan>`.
+
 Changelog
 ---------
 
@@ -64,6 +78,12 @@ Changelog
   and :class:`ensemble.ExtraTreesRegressor` now support sparse readonly datasets.
   :pr:`25341` by :user:`Julien Jerphanion <jjerphan>`
 
+:mod:`sklearn.feature_extraction`
+.................................
+
+- |Fix| :class:`feature_extraction.FeatureHasher` raises an informative error
+  when the input is a list of strings. :pr:`25094` by `Thomas Fan`_.
+
 :mod:`sklearn.linear_model`
 ...........................
 
@@ -78,6 +98,20 @@ Changelog
 - |Fix| :class:`manifold.TSNE` now works correctly when output type is
   set to pandas :pr:`25370` by :user:`Tim Head <betatim>`.
 
+:mod:`sklearn.model_selection`
+..............................
+
+- |Fix| :func:`model_selection.cross_validate` with multimetric scoring in
+  case of some failing scorers the non-failing scorers now returns proper
+  scores instead of `error_score` values.
+  :pr:`23101` by :user:`András Simon <simonandras>` and `Thomas Fan`_.
+
+:mod:`sklearn.neural_network`
+.............................
+
+- |Fix| :class:`neural_network.MLPClassifier` and :class:`neural_network.MLPRegressor`
+  no longer raise warnings when fitting data with feature names.
+  :pr:`24873` by :user:`Tim Head <betatim>`.
 
 :mod:`sklearn.preprocessing`
 ............................

doc/whats_new/v1.3.rst

@@ -29,11 +29,6 @@ random sampling procedures.
   `transform_algorithm` is not the same as `fit_algorithm` and the number of iterations
   is small. :pr:`24871` by :user:`Omar Salman <OmarManzoor>`.
 
-- |Fix| The `categories_` attribute of :class:`preprocessing.OneHotEncoder` now
-  always contains an array of `object`s when using predefined categories that
-  are strings. Predefined categories encoded as bytes will no longer work
-  with `X` encoded as strings. :pr:`25174` by :user:`Tim Head <betatim>`.
-
 Changes impacting all modules
 -----------------------------
 
@@ -123,34 +118,13 @@ Changelog
 - |Enhancement| Added the parameter `fill_value` to :class:`impute.IterativeImputer`.
   :pr:`25232` by :user:`Thijs van Weezel <ValueInvestorThijs>`.
 
-:mod:`sklearn.feature_extraction`
-.................................
-
-- |Fix| :class:`feature_extraction.FeatureHasher` raises an informative error
-  when the input is a list of strings. :pr:`25094` by `Thomas Fan`_.
-
-:mod:`sklearn.model_selection`
-..............................
-
-- |Fix| :func:`model_selection.cross_validate` with multimetric scoring in
-  case of some failing scorers the non-failing scorers now returns proper
-  scores instead of `error_score` values.
-  :pr:`23101` by :user:`András Simon <simonandras>` and `Thomas Fan`_.
-
 :mod:`sklearn.naive_bayes`
 ..........................
 
 - |Fix| :class:`naive_bayes.GaussianNB` does not raise anymore a `ZeroDivisionError`
   when the provided `sample_weight` reduces the problem to a single class in `fit`.
   :pr:`24140` by :user:`Jonathan Ohayon <Johayon>` and :user:`Chiara Marmo <cmarmo>`.
 
-:mod:`sklearn.neural_network`
-.............................
-
-- |Fix| :class:`neural_network.MLPClassifier` and :class:`neural_network.MLPRegressor`
-  no longer raise warnings when fitting data with feature names.
-  :pr:`24873` by :user:`Tim Head <betatim>`.
-
 :mod:`sklearn.pipeline`
 .......................