Skip to content

MNT fix changelog 1.0.1 #21416

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 23, 2021
Merged

MNT fix changelog 1.0.1 #21416

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
31 changes: 30 additions & 1 deletion doc/whats_new/v1.0.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
Version 1.0.1
=============

**In Development**
**October 2021**

Changelog
---------
Expand Down Expand Up @@ -43,6 +43,14 @@ Fixed models
between sparse and dense input. :pr:`21195`
by :user:`Jérémie du Boisberranger <jeremiedbb>`.

:mod:`sklearn.ensemble`
.......................

- |Fix| Fixed a bug that could produce a segfault in rare cases for
:class:`ensemble.HistGradientBoostingClassifier` and
:class:`ensemble.HistGradientBoostingRegressor`.
:pr:`21130` :user:`Christian Lorentzen <lorentzenchr>`.

:mod:`sklearn.gaussian_process`
...............................

Expand All @@ -59,12 +67,21 @@ Fixed models
longer checks for uppercase characters in the provided vocabulary. :pr:`21251`
by :user:`Jérémie du Boisberranger <jeremiedbb>`.

- |Fix| Fixed a bug in :class:`feature_extraction.CountVectorizer` and
:class:`feature_extraction.TfidfVectorizer` by raising an
error when 'min_idf' or 'max_idf' are floating-point numbers greater than 1.
:pr:`20752` by :user:`Alek Lefebvre <AlekLefebvre>`.

:mod:`sklearn.linear_model`
...........................

- |Fix| Improves stability of :class:`linear_model.LassoLars` for different
versions of openblas. :pr:`21340` by `Thomas Fan`_.

- |Fix| :class:`linear_model.LogisticRegression` now raises a better error
message when the solver does not support sparse matrices with int64 indices.
:pr:`21093` by `Tom Dupre la Tour`_.

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

Expand Down Expand Up @@ -95,6 +112,18 @@ Fixed models
:mod:`sklearn.utils`
....................

- |Enhancement| :func:`utils.validation._check_sample_weight` can perform a
non-negativity check on the sample weights. It can be turned on
using the only_non_negative bool parameter.
Estimators that check for non-negative weights are updated:
:func:`linear_model.LinearRegression` (here the previous
error message was misleading),
:func:`ensemble.AdaBoostClassifier`,
:func:`ensemble.AdaBoostRegressor`,
:func:`neighbors.KernelDensity`.
:pr:`20880` by :user:`Guillaume Lemaitre <glemaitre>`
and :user:`András Simon <simonandras>`.

- |Fix| Solve a bug in :func:`~sklearn.utils.metaestimators.if_delegate_has_method`
where the underlying check for an attribute did not work with NumPy arrays.
:pr:`21145` by :user:`Zahlii <Zahlii>`.
Expand Down
35 changes: 0 additions & 35 deletions doc/whats_new/v1.1.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -52,36 +52,13 @@ Changelog
reconstruction of a `X` target when a `Y` parameter is given. :pr:`19680` by
:user:`Robin Thibaut <robinthibaut>`.

:mod:`sklearn.ensemble`
.......................

- |Fix| Fixed a bug that could produce a segfault in rare cases for
:class:`ensemble.HistGradientBoostingClassifier` and
:class:`ensemble.HistGradientBoostingRegressor`.
:pr:`21130` :user:`Christian Lorentzen <lorentzenchr>`.

:mod:`sklearn.feature_extraction`
.................................

- |Fix| Fixed a bug in :class:`feature_extraction.CountVectorizer` and
:class:`feature_extraction.TfidfVectorizer` by raising an
error when 'min_idf' or 'max_idf' are floating-point numbers greater than 1.
:pr:`20752` by :user:`Alek Lefebvre <AlekLefebvre>`.

:mod:`sklearn.impute`
.....................

- |API| Adds :meth:`get_feature_names_out` to :class:`impute.SimpleImputer`,
:class:`impute.KNNImputer`, :class:`impute.IterativeImputer`, and
:class:`impute.MissingIndicator`. :pr:`21078` by `Thomas Fan`_.

:mod:`sklearn.linear_model`
...........................

- |Fix| :class:`linear_model.LogisticRegression` now raises a better error
message when the solver does not support sparse matrices with int64 indices.
:pr:`21093` by `Tom Dupre la Tour`_.

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

Expand All @@ -108,18 +85,6 @@ Changelog
:mod:`sklearn.utils`
....................

- |Enhancement| :func:`utils.validation._check_sample_weight` can perform a
non-negativity check on the sample weights. It can be turned on
using the only_non_negative bool parameter.
Estimators that check for non-negative weights are updated:
:func:`linear_model.LinearRegression` (here the previous
error message was misleading),
:func:`ensemble.AdaBoostClassifier`,
:func:`ensemble.AdaBoostRegressor`,
:func:`neighbors.KernelDensity`.
:pr:`20880` by :user:`Guillaume Lemaitre <glemaitre>`
and :user:`András Simon <simonandras>`.

- |Enhancement| :func:`utils.estimator_html_repr` shows a more helpful error
message when running in a jupyter notebook that is not trusted. :pr:`21316`
by `Thomas Fan`_.
Expand Down