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Sep 18, 2023
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DOC move some fixes from 1.4 to 1.3.1 #27402

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DOC move some fixes from 1.4 to 1.3.1
glemaitre Sep 18, 2023
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glemaitre Sep 18, 2023
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54 changes: 52 additions & 2 deletions doc/whats_new/v1.3.rst
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Expand Up @@ -9,6 +9,20 @@ Version 1.3.1

**In development**

Changed models
--------------

The following estimators and functions, when fit with the same data and
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.

- |Fix| Ridge models with `solver='sparse_cg'` may have slightly different
results with scipy>=1.12, because of an underlying change in the scipy solver
(see `scipy#18488 <https://github.com/scipy/scipy/pull/18488>`_ for more
details)
:pr:`26814` by :user:`Loïc Estève <lesteve>`

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

Expand All @@ -18,6 +32,13 @@ Changes impacting all modules
Changelog
---------

:mod:`sklearn.calibration`
..........................

- |Fix| :class:`calibration.CalibratedClassifierCV` can now handle models that
produce large prediction scores. Before it was numerically unstable.
:pr:`26913` by :user:`Omar Salman <OmarManzoor>`.

:mod:`sklearn.cluster`
......................

Expand All @@ -26,7 +47,14 @@ Changelog
:pr:`27167` by `Olivier Grisel`_.

- |Fix| :class:`cluster.BisectingKMeans` now works with data that has a single feature.
:pr:`27243` by `Jérémie du Boisberranger <jeremiedbb>`.
:pr:`27243` by :user:`Jérémie du Boisberranger <jeremiedbb>`.

:mod:`sklearn.cross_decomposition`
..................................

- |Fix| :class:`cross_decomposition.PLSRegression` now automatically ravels the output
of `predict` if fitted with one dimensional `y`.
:pr:`26602` by :user:`Yao Xiao <Charlie-XIAO>`.

:mod:`sklearn.ensemble`
.......................
Expand All @@ -36,6 +64,12 @@ Changelog
the sum of the scores should sum to zero for a sample).
:pr:`26521` by :user:`Guillaume Lemaitre <glemaitre>`.

: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.impute`
.....................

Expand All @@ -44,12 +78,20 @@ Changelog
during ``fit``. :pr:`26600` by :user:`Shreesha Kumar Bhat <Shreesha3112>`.

:mod:`sklearn.metrics`
.......................
......................

- |Fix| Scorers used with :func:`metrics.get_scorer` handle properly
multilabel-indicator matrix.
:pr:`27002` by :user:`Guillaume Lemaitre <glemaitre>`.

:mod:`sklearn.mixture`
......................

- |Fix| The initialization of :class:`mixture.GaussianMixture` from user-provided
`precisions_init` for `covariance_type` of `full` or `tied` was not correct,
and has been fixed.
:pr:`26416` by :user:`Yang Tao <mchikyt3>`.

:mod:`sklearn.neighbors`
........................

Expand All @@ -65,12 +107,20 @@ Changelog
when the input to the `param_distributions` parameter is a list of dicts.
:pr:`26893` by :user:`Stefanie Senger <StefanieSenger>`.

- |Fix| Neighbors based estimators now correctly work when `metric="minkowski"` and the
metric parameter `p` is in the range `0 < p < 1`, regardless of the `dtype` of `X`.
:pr:`26760` by :user:`Shreesha Kumar Bhat <Shreesha3112>`.

:mod:`sklearn.preprocessing`
............................

- |Fix| :class:`preprocessing.LabelEncoder` correctly accepts `y` as a keyword
argument. :pr:`26940` by `Thomas Fan`_.

- |Fix| :class:`preprocessing.OneHotEncoder` shows a more informative error message
when `sparse_output=True` and the output is configured to be pandas.
:pr:`26931` by `Thomas Fan`_.

:mod:`sklearn.tree`
...................

Expand Down
37 changes: 0 additions & 37 deletions doc/whats_new/v1.4.rst
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Expand Up @@ -19,18 +19,6 @@ 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.

- |Fix| The initialization of :class:`mixture.GaussianMixture` from user-provided
`precisions_init` for `covariance_type` of `full` or `tied` was not correct,
and has been fixed.
:pr:`26416` by :user:`Yang Tao <mchikyt3>`.

- |Fix| Ridge models with `solver='sparse_cg'` may have slightly different
results with scipy>=1.12, because of an underlying change in the scipy solver
(see `scipy#18488 <https://github.com/scipy/scipy/pull/18488>`_ for more
details)
:pr:`26814` by :user:`Loïc Estève <lesteve>`


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

Expand Down Expand Up @@ -121,10 +109,6 @@ Changelog
:mod:`sklearn.calibration`
..........................

- |Fix| :class:`calibration.CalibratedClassifierCV` can now handle models that
produce large prediction scores. Before it was numerically unstable.
:pr:`26913` by :user:`Omar Salman <OmarManzoor>`.

- |Enhancement| The internal objective and gradient of the `sigmoid` method
of :class:`calibration.CalibratedClassifierCV` have been replaced by the
private loss module. :pr:`27185` by :user:`Omar Salman <OmarManzoor>`.
Expand All @@ -138,13 +122,6 @@ Changelog
`kdtree` and `balltree` values will be removed in 1.6.
:pr:`26744` by :user:`Shreesha Kumar Bhat <Shreesha3112>`.

:mod:`sklearn.cross_decomposition`
..................................

- |Fix| :class:`cross_decomposition.PLSRegression` now automatically ravels the output
of `predict` if fitted with one dimensional `y`.
:pr:`26602` by :user:`Yao Xiao <Charlie-XIAO>`.

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

Expand Down Expand Up @@ -204,12 +181,6 @@ Changelog
SciPy sparse arrays.
:pr:`27219` by :user:`Yao Xiao <Charlie-XIAO>`.

: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.impute`
.....................

Expand Down Expand Up @@ -270,21 +241,13 @@ Changelog
pairs of dense and sparse datasets.
:pr:`27018` by :user:`Julien Jerphanion <jjerphan>`.

- |Fix| Neighbors based estimators now correctly work when `metric="minkowski"` and the
metric parameter `p` is in the range `0 < p < 1`, regardless of the `dtype` of `X`.
:pr:`26760` by :user:`Shreesha Kumar Bhat <Shreesha3112>`.

:mod:`sklearn.preprocessing`
............................

- |Efficiency| :class:`preprocessing.OrdinalEncoder` avoids calculating
missing indices twice to improve efficiency.
:pr:`27017` by :user:`Xuefeng Xu <xuefeng-xu>`.

- |Fix| :class:`preprocessing.OneHotEncoder` shows a more informative error message
when `sparse_output=True` and the output is configured to be pandas.
:pr:`26931` by `Thomas Fan`_.

- |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
Expand Down