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CLN v1.4.rst entries are not sorted #26759

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62 changes: 29 additions & 33 deletions doc/whats_new/v1.4.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,16 @@ parameters, may produce different models from the previous version. This often
occurs due to changes in the modelling logic (bug fixes or enhancements), or in
random sampling procedures.

Changes impacting all modules
-----------------------------

- |Enhancement| All estimators now recognizes the column names from any dataframe
that adopts the
`DataFrame Interchange Protocol <https://data-apis.org/dataframe-protocol/latest/purpose_and_scope.html>`__.
Dataframes that return a correct representation through `np.asarray(df)` is expected
to work with our estimators and functions.
:pr:`26464` by `Thomas Fan`_.

Changelog
---------

Expand All @@ -33,24 +43,6 @@ Changelog
:pr:`123456` by :user:`Joe Bloggs <joeongithub>`.
where 123456 is the *pull request* number, not the issue number.

Changes impacting all modules
-----------------------------

- |Enhancement| All estimators now recognizes the column names from any dataframe
that adopts the
`DataFrame Interchange Protocol <https://data-apis.org/dataframe-protocol/latest/purpose_and_scope.html>`__.
Dataframes that return a correct representation through `np.asarray(df)` is expected
to work with our estimators and functions.
:pr:`26464` by `Thomas Fan`_.

Code and Documentation Contributors
-----------------------------------

Thanks to everyone who has contributed to the maintenance and improvement of
the project since version 1.3, including:

TODO: update at the time of the release.

:mod:`sklearn.base`
...................

Expand All @@ -59,6 +51,15 @@ TODO: update at the time of the release.
passed to the ``fit`` method of the the estimator. :pr:`26506` by `Adrin
Jalali`_.

:mod:`sklearn.decomposition`
............................

- |Enhancement| An "auto" option was added to the `n_components` parameter of
:func:`decomposition.non_negative_factorization`, :class:`decomposition.NMF` and
:class:`decomposition.MiniBatchNMF` to automatically infer the number of components from W or H shapes
when using a custom initialization. The default value of this parameter will change
from `None` to `auto` in version 1.6.
:pr:`26634` by :user:`Alexandre Landeau <AlexL>` and :user:`Alexandre Vigny <avigny>`.

:mod:`sklearn.ensemble`
.......................
Expand All @@ -71,6 +72,11 @@ TODO: update at the time of the release.
:pr:`13649` by :user:`Samuel Ronsin <samronsin>`,
initiated by :user:`Patrick O'Reilly <pat-oreilly>`.

:mod:`sklearn.feature_selection`
................................

- |Fix| :func:`feature_selection.mutual_info_regression` now correctly computes the
result when `X` is of integer dtype. :pr:`26748` by :user:`Yao Xiao <Charlie-XIAO>`.

:mod:`sklearn.tree`
...................
Expand All @@ -83,20 +89,10 @@ TODO: update at the time of the release.
:pr:`13649` by :user:`Samuel Ronsin <samronsin>`, initiated by
:user:`Patrick O'Reilly <pat-oreilly>`.

Code and Documentation Contributors
-----------------------------------

:mod:`sklearn.decomposition`
............................

- |Enhancement| An "auto" option was added to the `n_components` parameter of
:func:`decomposition.non_negative_factorization`, :class:`decomposition.NMF` and
:class:`decomposition.MiniBatchNMF` to automatically infer the number of components from W or H shapes
when using a custom initialization. The default value of this parameter will change
from `None` to `auto` in version 1.6.
:pr:`26634` by :user:`Alexandre Landeau <AlexL>` and :user:`Alexandre Vigny <avigny>`.


:mod:`sklearn.feature_selection`
................................
Thanks to everyone who has contributed to the maintenance and improvement of
the project since version 1.3, including:

- |Fix| :func:`feature_selection.mutual_info_regression` now correctly computes the
result when `X` is of integer dtype. :pr:`26748` by :user:`Yao Xiao <Charlie-XIAO>`.
TODO: update at the time of the release.