[MRG] Add missing entries to whatsnew

doc/whats_new/v0.22.rst

@@ -123,6 +123,12 @@ Changelog
   pass `**fit_params` to the underlying regressor.
   :pr:`14890` by :user:`Miguel Cabrera <mfcabrera>`.
 
+- |Fix| The :class:`compose.ColumnTransformer` now requires the number of
+  features to be consistent between `fit` and `transform`. A `FutureWarning`
+  is raised now, and this will raise an error in 0.24. If the number of
+  features isn't consistent and negative indexing is used, an error is
+  raised. :pr:`14544` by `Adrin Jalali`_.
+
 :mod:`sklearn.cross_decomposition`
 ..................................
 
@@ -330,6 +336,14 @@ Changelog
   estimator's constructor but not stored as attributes on the instance.
   :pr:`14464` by `Joel Nothman`_.
 
+:mod:`sklearn.hierarchical`
+...........................
+
+- |Fix| :class:`hierarchical.AgglomerativeClustering` and
+  :class:`hierarchical.FeatureAgglomeration` now raise an error if
+  `affinity='cosine'` and `X` has samples that are all-zeros. :pr:`7943` by
+  :user:`mthorrell`.
+
 :mod:`sklearn.impute`
 .....................
 
@@ -365,6 +379,10 @@ Changelog
   :class:`ensemble.HistGradientBoostingRegressor`. :pr:`13769` by
   `Nicolas Hug`_.
 
+- |Feature| :func:`inspection.plot_partial_dependence` has been extended to
+  now support the new visualization API described in the :ref:`User Guide
+  <visualizations>`. :pr:`14646` by `Thomas Fan`_.
+
 :mod:`sklearn.kernel_approximation`
 ...................................
 
@@ -506,6 +524,10 @@ Changelog
   ``multioutput`` parameter.
   :pr:`14732` by :user:`Agamemnon Krasoulis <agamemnonc>`.
 
+- |Enhancement| 'roc_auc_ovr_weighted' and 'roc_auc_ovo_weighted' can now be
+  used as the `scoring` parameter of model-selection tools. :pr:`14417` by
+  `Thomas Fan`_.
+
 :mod:`sklearn.model_selection`
 ..............................
 
@@ -531,6 +553,11 @@ Changelog
   `random_state` is set but `shuffle` is False. This will raise an error in
   0.24.
 
+- |Fix| The `cv_results_` attribute of :class:`model_selection.GridSearchCV`
+  and :class:`model_selection.RandomizedSearchCV` now only contains unfitted
+  estimators. This potentially saves a lot of memory since the state of the
+  estimators isn't stored. :pr:`#15096` by :user:`Andreas Müller <amueller>`.
+
 :mod:`sklearn.multioutput`
 ..........................
 
@@ -603,6 +630,9 @@ Changelog
 :mod:`sklearn.preprocessing`
 ............................
 
+- |Enhancement| :class:`preprocessing.PolynomialFeatures` is now faster when
+  the input data is dense. :pr:`13290` by :user:`Xavier Dupré <sdpython>`.
+
 - |Enhancement| Avoid unnecessary data copy when fitting preprocessors
   :class:`preprocessing.StandardScaler`, :class:`preprocessing.MinMaxScaler`,
   :class:`preprocessing.MaxAbsScaler`, :class:`preprocessing.RobustScaler`
@@ -760,7 +790,7 @@ Miscellaneous
 
 - |Fix| Port `lobpcg` from SciPy which implement some bug fixes but only
   available in 1.3+.
-  :pr:`13609` by :user:`Guillaume Lemaitre <glemaitre>`.
+  :pr:`13609` and :pr:`14971` by :user:`Guillaume Lemaitre <glemaitre>`.
 
 Changes to estimator checks
 ---------------------------
@@ -796,3 +826,7 @@ These changes mostly affect library developers.
   :pr:`13392` by :user:`Rok Mihevc <rok>`.
 
 - |Fix| Added ``check_transformer_data_not_an_array`` to checks where missing
+
+- |Fix| The estimators tags resolution now follows the regular MRO. They used
+  to be overridable only once. :pr:`14884` by :user:`Andreas Müller
+  <amueller>`.