MNT what's new corrections
@@ -88,19 +88,18 @@ Changelog
:mod:`sklearn.linear_model`
...........................
-- |Fix| :func:`linear_model.SGDClassifier` and variants
+- |Fix| :class:`linear_model.SGDClassifier` and variants
with ``early_stopping=True`` would not use a consistent validation
split in the multiclass case and this would cause a crash when using
those estimators as part of parallel parameter search or cross-validation.
:issue:`12122` by :user:`Olivier Grisel <ogrisel>`.
-- |Fix| Fixed a bug affecting :func:`SGDClassifier.fit` in the multiclass
+- |Fix| Fixed a bug affecting :class:`SGDClassifier` in the multiclass
case. Each one-versus-all step is run in a :class:`joblib.Parallel` call and
mutating a common parameter, causing a segmentation fault if called within a
backend using processes and not threads. We now use ``require=sharedmem``
- at the :class:`Parallel` instance creation.
- :issue:`12518` by :user:`Pierre Glaser <pierreglaser>` and
- :user:`Olivier Grisel <ogrisel>`.
+ at the :class:`joblib.Parallel` instance creation. :issue:`12518` by
+ :user:`Pierre Glaser <pierreglaser>` and :user:`Olivier Grisel <ogrisel>`.
:mod:`sklearn.metrics`
......................
@@ -158,7 +157,7 @@ Miscellaneous
- |Fix| Make sure to avoid raising ``FutureWarning`` when calling
``np.vstack`` with numpy 1.16 and later (use list comprehensions
instead of generator expressions in many locations of the scikit-learn
- code base). :issue:`12467` by :user:`Olivier Grisel`.
+ code base). :issue:`12467` by :user:`Olivier Grisel <ogrisel>`.
.. _changes_0_20:
@@ -1032,7 +1031,7 @@ Support for Python 3.3 has been officially dropped.
:issue:`9304` by :user:`Breno Freitas <brenolf>`.
- |API| :class:`pipeline.FeatureUnion` now supports ``'drop'`` as a transformer
- to drop features. :issue:`11144` by :user:`thomasjpfan`.
+ to drop features. :issue:`11144` by :user:`Thomas Fan <thomasjpfan>`.
:mod:`sklearn.preprocessing`
