8000 MNT fix changelog 1.0.1 (#21416) · samronsin/scikit-learn@c22c674 · GitHub
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MNT fix changelog 1.0.1 (scikit-learn#21416)
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‎doc/whats_new/v1.0.rst

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Version 1.0.1
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=============
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**In Development**
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**October 2021**
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Changelog
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---------
@@ -43,6 +43,14 @@ Fixed models
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between sparse and dense input. :pr:`21195`
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by :user:`Jérémie du Boisberranger <jeremiedbb>`.
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:mod:`sklearn.ensemble`
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.......................
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- |Fix| Fixed a bug that could produce a segfault in rare cases for
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:class:`ensemble.HistGradientBoostingClassifier` and
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:class:`ensemble.HistGradientBoostingRegressor`.
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:pr:`21130` :user:`Christian Lorentzen <lorentzenchr>`.
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:mod:`sklearn.gaussian_process`
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...............................
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longer checks for uppercase characters in the provided vocabulary. :pr:`21251`
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by :user:`Jérémie du Boisberranger <jeremiedbb>`.
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- |Fix| Fixed a bug in :class:`feature_extraction.CountVectorizer` and
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:class:`feature_extraction.TfidfVectorizer` by raising an
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error when 'min_idf' or 'max_idf' are floating-point numbers greater than 1.
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:pr:`20752` by :user:`Alek Lefebvre <AlekLefebvre>`.
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:mod:`sklearn.linear_model`
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...........................
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- |Fix| Improves stability of :class:`linear_model.LassoLars` for different
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versions of openblas. :pr:`21340` by `Thomas Fan`_.
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- |Fix| :class:`linear_model.LogisticRegression` now raises a better error
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message when the solver does not support sparse matrices with int64 indices.
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:pr:`21093` by `Tom Dupre la Tour`_.
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:mod:`sklearn.neighbors`
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........................
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@@ -95,6 +112,18 @@ Fixed models
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:mod:`sklearn.utils`
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....................
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- |Enhancement| :func:`utils.validation._check_sample_weight` can perform a
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non-negativity check on the sample weights. It can be turned on
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using the only_non_negative bool parameter.
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Estimators that check for non-negative weights are updated:
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:func:`linear_model.LinearRegression` (here the previous
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error message was misleading),
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:func:`ensemble.AdaBoostClassifier`,
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:func:`ensemble.AdaBoostRegressor`,
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:func:`neighbors.KernelDensity`.
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:pr:`20880` by :user:`Guillaume Lemaitre <glemaitre>`
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and :user:`András Simon <simonandras>`.
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- |Fix| Solve a bug in :func:`~sklearn.utils.metaestimators.if_delegate_has_method`
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where the underlying check for an attribute did not work with NumPy arrays.
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:pr:`21145` by :user:`Zahlii <Zahlii>`.

‎doc/whats_new/v1.1.rst

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@@ -52,36 +52,13 @@ Changelog
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reconstruction of a `X` target when a `Y` parameter is given. :pr:`19680` by
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:user:`Robin Thibaut <robinthibaut>`.
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:mod:`sklearn.ensemble`
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.......................
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- |Fix| Fixed a bug that could produce a segfault in rare cases for
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:class:`ensemble.HistGradientBoostingClassifier` and
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:class:`ensemble.HistGradientBoostingRegressor`.
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:pr:`21130` :user:`Christian Lorentzen <lorentzenchr>`.
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:mod:`sklearn.feature_extraction`
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.................................
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- |Fix| Fixed a bug in :class:`feature_extraction.CountVectorizer` and
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:class:`feature_extraction.TfidfVectorizer` by raising an
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error when 'min_idf' or 'max_idf' are floating-point numbers greater than 1.
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:pr:`20752` by :user:`Alek Lefebvre <AlekLefebvre>`.
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:mod:`sklearn.impute`
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.....................
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- |API| Adds :meth:`get_feature_names_out` to :class:`impute.SimpleImputer`,
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:class:`impute.KNNImputer`, :class:`impute.IterativeImputer`, and
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:class:`impute.MissingIndicator`. :pr:`21078` by `Thomas Fan`_.
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:mod:`sklearn.linear_model`
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...........................
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- |Fix| :class:`linear_model.LogisticRegression` now raises a better error
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message when the solver does not support sparse matrices with int64 indices.
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:pr:`21093` by `Tom Dupre la Tour`_.
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:mod:`sklearn.metrics`
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......................
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@@ -108,18 +85,6 @@ Changelog
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:mod:`sklearn.utils`
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....................
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- |Enhancement| :func:`utils.validation._check_sample_weight` can perform a
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non-negativity check on the sample weights. It can be turned on
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using the only_non_negative bool parameter.
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Estimators that check for non-negative weights are updated:
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:func:`linear_model.LinearRegression` (here the previous
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error message was misleading),
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:func:`ensemble.AdaBoostClassifier`,
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:func:`ensemble.AdaBoostRegressor`,
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:func:`neighbors.KernelDensity`.
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:pr:`20880` by :user:`Guillaume Lemaitre <glemaitre>`
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and :user:`András Simon <simonandras>`.
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- |Enhancement| :func:`utils.estimator_html_repr` shows a more helpful error
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message when running in a jupyter notebook that is not trusted. :pr:`21316`
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by `Thomas Fan`_.

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