DOC fix the changelog and group entries together (scikit-learn#27421)

Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

Author: glemaitre

doc/whats_new/v1.4.rst

@@ -36,17 +36,6 @@ The following models now support metadata routing in one or more or their
 methods. Refer to the :ref:`Metadata Routing User Guide <metadata_routing>` for
 more details.
 
-- |Enhancement| :class:`~compose.ColumnTransformer` now supports metadata routing
-  according to :ref:`metadata routing user guide <metadata_routing>`. :pr:`27005`
-  by `Adrin Jalali`_.
-
-- |Enhancement| :class:`linear_model.LogisticRegressionCV` now supports
-  metadata routing. :meth:`linear_model.LogisticRegressionCV.fit` now
-  accepts ``**params`` which are passed to the underlying splitter and
-  scorer. :meth:`linear_model.LogisticRegressionCV.score` now accepts
-  ``**score_params`` which are passed to the underlying scorer.
-  :pr:`26525` by :user:`Omar Salman <OmarManzoor>`.
-
 - |Feature| :class:`pipeline.Pipeline` now supports metadata routing according
   to :ref:`metadata routing user guide <metadata_routing>`. :pr:`26789` by
   `Adrin Jalali`_.
@@ -69,6 +58,46 @@ more details.
   estimator's ``fit``, the CV splitter, and the scorer. :pr:`27058` by `Adrin
   Jalali`_.
 
+- |Enhancement| :class:`~compose.ColumnTransformer` now supports metadata routing
+  according to :ref:`metadata routing user guide <metadata_routing>`. :pr:`27005`
+  by `Adrin Jalali`_.
+
+- |Enhancement| :class:`linear_model.LogisticRegressionCV` now supports
+  metadata routing. :meth:`linear_model.LogisticRegressionCV.fit` now
+  accepts ``**params`` which are passed to the underlying splitter and
+  scorer. :meth:`linear_model.LogisticRegressionCV.score` now accepts
+  ``**score_params`` which are passed to the underlying scorer.
+  :pr:`26525` by :user:`Omar Salman <OmarManzoor>`.
+
+Support for SciPy sparse arrays
+-------------------------------
+
+Several estimators are now supporting SciPy sparse arrays. The following functions
+and classes are impacted:
+
+**Functions:**
+
+- :func:`decomposition.non_negative_factorization` in :pr:`27100` by
+  :user:`Isaac Virshup <ivirshup>`;
+- :func:`metrics.f_regression` in :pr:`27239` by :user:`Yaroslav Korobko <Tialo>`;
+- :func:`metrics.r_regression` in :pr:`27239` by :user:`Yaroslav Korobko <Tialo>`;
+- :func:`sklearn.utils.multiclass.type_of_target` in :pr:`27274` by
+  :user:`Yao Xiao <Charlie-XIAO>`.
+
+**Classes:**
+
+- :class:`decomposition.NMF` in :pr:`27100` by :user:`Isaac Virshup <ivirshup>`;
+- :class:`decomposition.MiniBatchNMF` in :pr:`27100` by
+  :user:`Isaac Virshup <ivirshup>`;
+- :class:`feature_extraction.text.TfidfTransformer` in :pr:`27219` by
+  :user:`Yao Xiao <Charlie-XIAO>`;
+- :class:`impute.SimpleImputer` in :pr:`27277` by :user:`Yao Xiao <Charlie-XIAO>`;
+- :class:`impute.IterativeImputer` in :pr:`27277` by :user:`Yao Xiao <Charlie-XIAO>`;
+- :class:`impute.KNNImputer` in :pr:`27277` by :user:`Yao Xiao <Charlie-XIAO>`;
+- :class:`kernel_approximation.PolynomialCountSketch` in  :pr:`27301` by
+  :user:`Lohit SundaramahaLingam <lohitslohit>`;
+- :class:`neural_network.BernoulliRBM` in :pr:`27252` by `Yao Xiao <Charlie-XIAO>`.
+
 Changelog
 ---------
 
@@ -114,7 +143,7 @@ Changelog
   private loss module. :pr:`27185` by :user:`Omar Salman <OmarManzoor>`.
 
 :mod:`sklearn.cluster`
-............................
+......................
 
 - |API| : `kdtree` and `balltree` values are now deprecated and are renamed as
   `kd_tree` and `ball_tree` respectively for the `algorithm` parameter of
@@ -138,11 +167,6 @@ Changelog
   :pr:`26315` and :pr:`27098` by :user:`Mateusz Sokół <mtsokol>`,
   :user:`Olivier Grisel <ogrisel>` and :user:`Edoardo Abati <EdAbati>`.
 
-- |Enhancement| :func:`decomposition.non_negative_factorization`, :class:`decomposition.NMF`,
-  and :class:`decomposition.MiniBatchNMF` now support :class:`scipy.sparse.sparray`
-  subclasses.
-  :pr:`27100` by :user:`Isaac Virshup <ivirshup>`.
-
 :mod:`sklearn.ensemble`
 .......................
 
@@ -160,10 +184,6 @@ Changelog
   :pr:`13649` by :user:`Samuel Ronsin <samronsin>`,
   initiated by :user:`Patrick O'Reilly <pat-oreilly>`.
 
-- |API| In :class:`AdaBoostClassifier`, the `algorithm` argument `SAMME.R` was
-  deprecated and will be removed in 1.6. :pr:`26830` by :user:`Stefanie Senger
-  <StefanieSenger>`.
-
 - |Efficiency| :class:`ensemble.GradientBoostingClassifier` is faster,
   for binary and in particular for multiclass problems thanks to the private loss
   function module.
@@ -174,27 +194,9 @@ Changelog
   :class:`ensemble.GradientBoostingRegressor` when trained on sparse data.
   :pr:`26957` by `Thomas Fan`_.
 
-:mod:`sklearn.feature_extraction`
-.................................
-
-- |Enhancement| :class:`feature_extraction.text.TfidfTransformer` now supports
-  SciPy sparse arrays.
-  :pr:`27219` by :user:`Yao Xiao <Charlie-XIAO>`.
-
-:mod:`sklearn.impute`
-.....................
-
-- |Enhancement| In :class:`impute.SimpleImputer`, :class:`impute.IterativeImputer`, and
-  :class:`impute.KNNImputer` with ``add_indicator=True``, using sparse arrays now
-  behaves in consistent with using sparse matrices in the `transform` and
-  `fit_transform` methods. :pr:`27277` by :user:`Yao Xiao <Charlie-XIAO>`.
-
-:mod:`sklearn.kernel_approximation`
-...................................
-
-- |Enhancement| :func:`kernel_approximation.PolynomialCountSketch` now supports
-  :class:`scipy.sparse.sparray` subclasses.
-  :pr:`27301` by :user:`Lohit SundaramahaLingam <lohitslohit>`.
+- |API| In :class:`AdaBoostClassifier`, the `algorithm` argument `SAMME.R` was
+  deprecated and will be removed in 1.6. :pr:`26830` by :user:`Stefanie Senger
+  <StefanieSenger>`.
 
 :mod:`sklearn.linear_model`
 ...........................
@@ -207,47 +209,46 @@ Changelog
 :mod:`sklearn.metrics`
 ......................
 
-- |Enhancement| :func:`metrics.f_regression` and :func:`metrics.r_regression` now
-  support SciPy sparse arrays.
-  :pr:`27239` by :user:`Yaroslav Korobko <Tialo>`.
+- |Efficiency| Computing pairwise distances via :class:`metrics.DistanceMetric`
+  for CSR × CSR,  Dense × CSR, and CSR × Dense datasets is now 1.5x faster.
+  :pr:`26765` by :user:`Meekail Zain <micky774>`
 
-:mod:`sklearn.preprocessing`
-............................
+- |Efficiency| Computing distances via :class:`metrics.DistanceMetric`
+  for CSR × CSR, Dense × CSR, and CSR × Dense now uses ~50% less memory,
+  and outputs distances in the same dtype as the provided data.
+  :pr:`27006` by :user:`Meekail Zain <micky774>`
 
-- |Enhancement| :class:`preprocessing.TargetEncoder` now supports `target_type`
-  'multiclass'. :pr:`26674` by :user:`Lucy Liu <lucyleeow>`.
+- |Enhancement| Improve the rendering of the plot obtained with the
+  :class:`metrics.PrecisionRecallDisplay` and :class:`metrics.RocCurveDisplay`
+  classes. the x- and y-axis limits are set to [0, 1] and the aspect ratio between
+  both axis is set to be 1 to get a square plot.
+  :pr:`26366` by :user:`Mojdeh Rastgoo <mrastgoo>`.
 
-:mod:`sklearn.metrics`
-......................
+- |Enhancement| Added `neg_root_mean_squared_log_error_scorer` as scorer
+  :pr:`26734` by :user:`Alejandro Martin Gil <101AlexMartin>`.
+
+- |Enhancement| :func:`sklearn.metrics.accuracy_score` and
+  :func:`sklearn.metrics.zero_one_loss` now support Array API compatible inputs.
+  :pr:`27137` by :user:`Edoardo Abati <EdAbati>`.
 
 - |API| The `squared` parameter of :func:`metrics.mean_squared_error` and
   :func:`metrics.mean_squared_log_error` is deprecated and will be removed in 1.6.
   Use the new functions :func:`metrics.root_mean_squared_error` and
   :func:`root_mean_squared_log_error` instead.
   :pr:`26734` by :user:`Alejandro Martin Gil <101AlexMartin>`.
 
-- |Enhancement| Added `neg_root_mean_squared_log_error_scorer` as scorer
-  :pr:`26734` by :user:`Alejandro Martin Gil <101AlexMartin>`.
-
-:mod:`sklearn.preprocessing`
-............................
-
-- |Enhancement| Improves warnings in :class:`preprocessing.FunctionTransfomer` when
-  `func` returns a pandas dataframe and the output is configured to be pandas.
-  :pr:`26944` by `Thomas Fan`_.
-
 :mod:`sklearn.model_selection`
 ..............................
 
+- |Enhancement| :func:`sklearn.model_selection.train_test_split` now supports
+  Array API compatible inputs. :pr:`26855` by `Tim Head`_.
+
 - |Fix| :class:`model_selection.GridSearchCV`,
   :class:`model_selection.RandomizedSearchCV`, and
   :class:`model_selection.HalvingGridSearchCV` now don't change the given
   object in the parameter grid if it's an estimator. :pr:`26786` by `Adrin
   Jalali`_.
 
-- |Enhancement| :func:`sklearn.model_selection.train_test_split` now supports
-  Array API compatible inputs. :pr:`26855` by `Tim Head`_.
-
 :mod:`sklearn.neighbors`
 ........................
 
@@ -256,18 +257,33 @@ Changelog
   pairs of dense and sparse datasets.
   :pr:`27018` by :user:`Julien Jerphanion <jjerphan>`.
 
+- |API| :class:`neighbors.KNeighborsRegressor` now accepts
+  :class:`metric.DistanceMetric` objects directly via the `metric` keyword
+  argument allowing for the use of accelerated third-party
+  :class:`metric.DistanceMetric` objects.
+  :pr:`26267` by :user:`Meekail Zain <micky774>`
+
 :mod:`sklearn.preprocessing`
 ............................
 
+- |MajorFeature| :class:`preprocessing.MinMaxScaler` and
+  :class:`preprocessing.MaxAbsScaler` now
+  support the `Array API <https://data-apis.org/array-api/latest/>`_. Array API
+  support is considered experimental and might evolve without being subject to
+  our usual rolling deprecation cycle policy. See
+  :ref:`array_api` for more details.
+  :pr:`26243` by `Tim Head`_ and :pr:`27110` by :user:`Edoardo Abati <EdAbati>`.
+
 - |Efficiency| :class:`preprocessing.OrdinalEncoder` avoids calculating
   missing indices twice to improve efficiency.
   :pr:`27017` by :user:`Xuefeng Xu <xuefeng-xu>`.
 
-- |MajorFeature| :class:`preprocessing.MinMaxScaler` and :class:`preprocessing.MaxAbsScaler` now
-  support the `Array API <https://data-apis.org/array-api/latest/>`_. Array API
-  support is considered experimental and might evolve without being subject to
-  our usual rolling deprecation cycle policy. See
-  :ref:`array_api` for more details. :pr:`26243` by `Tim Head`_ and :pr:`27110` by :user:`Edoardo Abati <EdAbati>`.
+- |Enhancement| Improves warnings in :class:`preprocessing.FunctionTransfomer` when
+  `func` returns a pandas dataframe and the output is configured to be pandas.
+  :pr:`26944` by `Thomas Fan`_.
+
+- |Enhancement| :class:`preprocessing.TargetEncoder` now supports `target_type`
+  'multiclass'. :pr:`26674` by :user:`Lucy Liu <lucyleeow>`.
 
 :mod:`sklearn.tree`
 ...................
@@ -280,44 +296,6 @@ Changelog
   :pr:`13649` by :user:`Samuel Ronsin <samronsin>`, initiated by
   :user:`Patrick O'Reilly <pat-oreilly>`.
 
-
-:mod:`sklearn.neighbors`
-........................
-
-- |API| :class:`neighbors.KNeighborsRegressor` now accepts
-  :class:`metric.DistanceMetric` objects directly via the `metric` keyword
-  argument allowing for the use of accelerated third-party
-  :class:`metric.DistanceMetric` objects.
-  :pr:`26267` by :user:`Meekail Zain <micky774>`
-
-:mod:`sklearn.neural_network`
-.............................
-
-- |Enhancement| :meth:`neural_network.BernoulliRBM.score_samples` now supports Scipy
-  sparse arrays.
-  :pr:`27252` by `Yao Xiao <Charlie-XIAO>`
-
-:mod:`sklearn.metrics`
-......................
-
-- |Efficiency| Computing pairwise distances via :class:`metrics.DistanceMetric`
-  for CSR × CSR,  Dense × CSR, and CSR × Dense datasets is now 1.5x faster.
-  :pr:`26765` by :user:`Meekail Zain <micky774>`
-
-- |Efficiency| Computing distances via :class:`metrics.DistanceMetric`
-  for CSR × CSR, Dense × CSR, and CSR × Dense now uses ~50% less memory,
-  and outputs distances in the same dtype as the provided data.
-  :pr:`27006` by :user:`Meekail Zain <micky774>`
-
-- |Enhancement| Improve the rendering of the plot obtained with the
-  :class:`metrics.PrecisionRecallDisplay` and :class:`metrics.RocCurveDisplay`
-  classes. the x- and y-axis limits are set to [0, 1] and the aspect ratio between
-  both axis is set to be 1 to get a square plot.
-  :pr:`26366` by :user:`Mojdeh Rastgoo <mrastgoo>`.
-
-- |Enhancement| :func:`sklearn.metrics.accuracy_score` and :func:`sklearn.metrics.zero_one_loss` now support
-  Array API compatible inputs. :pr:`27137` by :user:`Edoardo Abati <EdAbati>`.
-
 :mod:`sklearn.utils`
 ....................
 
@@ -338,10 +316,6 @@ Changelog
   array and does not return the correct result for SciPy sparse matrix.
   :pr:`27336` by :user:`Guillaume Lemaitre <glemaitre>`.
 
-- |Enhancement| :func`sklearn.utils.multiclass.type_of_target` now supports Scipy
-  sparse arrays.
-  :pr:`27274` by `Yao Xiao <Charlie-XIAO>`
-
 Code and Documentation Contributors
 -----------------------------------