8000 MAINT missing what's new entry for PR-19401 by ogrisel · Pull Request #20955 · scikit-learn/scikit-learn · GitHub
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23 changes: 13 additions & 10 deletions doc/whats_new/v1.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -389,14 +389,24 @@ Changelog
:mod:`sklearn.feature_extraction`
.................................

- |Fix| Fixed a bug in :class:`feature_extraction.HashingVectorizer` where some
input strings would result in negative indices in the transformed data.
:pr:`19035` by :user:`Liu Yu <ly648499246>`.
- |Fix| Fixed a bug in :class:`feature_extraction.text.HashingVectorizer`
where some input strings would result in negative indices in the transformed
data. :pr:`19035` by :user:`Liu Yu <ly648499246>`.

- |Fix| Fixed a bug in :class:`feature_extraction.DictVectorizer` by raising an
error with unsupported value type.
:pr:`19520` by :user:`Jeff Zhao <kamiyaa>`.

- |Fix| Fixed a bug in :func:`feature_extraction.image.img_to_graph`
and :func:`feature_extraction.image.grid_to_graph` where singleton connected
components were not handled properly, resulting in a wrong vertex indexing.
:pr:`18964` by `Bertrand Thirion`_.

- |Fix| Raise a warning in :class:`feature_extraction.text.CountVectorizer`
with `lowercase=True` when there are vocabulary entries with uppercase
characters to avoid silent misses in the resulting feature vectors.
:pr:`19401` by :user:`Zito Relova <zitorelova>`

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

Expand Down Expand Up @@ -824,13 +834,6 @@ Changelog
- |Fix| Improves compatibility of :func:`tree.plot_tree` with high DPI screens.
:pr:`20023` by `Thomas Fan`_.

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

- |Fix| Fixed a bug in :func:`image._to_graph` where singleton
connected components were not handled properly, resulting in a wrong
vertex indexing. :pr:`18964` by `Bertrand Thirion`_.

- |Fix| Fixed a bug in :class:`tree.DecisionTreeClassifier`,
:class:`tree.DecisionTreeRegressor` where a node could be split whereas it
should not have been due to incorrect handling of rounding errors.
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