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MNT DOC fix some sphinx warnings on what's new files #14049

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Merged
merged 1 commit into from
Jun 10, 2019
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MNT DOC fix some sphinx warnings on what's new files #14049

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2 changes: 1 addition & 1 deletion doc/whats_new/v0.20.rst
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Expand Up @@ -30,7 +30,7 @@ Changelog
:issue:`12946` by :user:`Pierre Tallotte <pierretallotte>`.

:mod:`sklearn.covariance`
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- |Fix| Fixed a regression in :func:`covariance.graphical_lasso` so that
the case `n_features=2` is handled correctly. :issue:`13276` by
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7 changes: 4 additions & 3 deletions doc/whats_new/v0.21.rst
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Expand Up @@ -45,7 +45,7 @@ Changelog
by :user:`James Myatt <jamesmyatt>`.

:mod:`sklearn.tree`
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- |Fix| Fixed an issue with :func:`plot_tree` where it display
entropy calculations even for `gini` criterion in DecisionTreeClassifiers.
Expand Down Expand Up @@ -87,7 +87,7 @@ Changelog
:user:`Jérémie du Boisberranger <jeremiedbb>`.

:mod:`sklearn.neighbors`
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- |Fix| Fixed a bug in :class:`neighbors.KernelDensity` which could not be
restored from a pickle if ``sample_weight`` had been used.
Expand Down Expand Up @@ -366,6 +366,7 @@ Support for Python 3.4 and below has been officially dropped.
- all the single node trees in feature importance calculation are ignored
- in case all trees have only one single node (i.e. a root node),
feature importances will be an array of all zeros.

:pr:`13636` and :pr:`13620` by `Adrin Jalali`_.

- |Fix| Fixed a bug in :class:`ensemble.GradientBoostingClassifier` and
Expand Down Expand Up @@ -505,7 +506,7 @@ Support for Python 3.4 and below has been officially dropped.
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- |Enhancement| :class:`linear_model.Ridge` now preserves ``float32`` and
``float64`` dtypes. :issues:`8769` and :issues:`11000` by
``float64`` dtypes. :issue:`8769` and :issue:`11000` by
:user:`Guillaume Lemaitre <glemaitre>`, and :user:`Joan Massich <massich>`

- |Feature| :class:`linear_model.LogisticRegression` and
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8 changes: 4 additions & 4 deletions doc/whats_new/v0.22.rst
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Expand Up @@ -45,10 +45,10 @@ Changelog
- |Fix| :class:`ensemble.HistGradientBoostingClassifier` and
:class:`ensemble.HistGradientBoostingRegressor` now bin the training and
validation data separately to avoid any data leak. :pr:`13933` by
`NicolasHug`_.
`Nicolas Hug`_.

:mod:`sklearn.linear_model`
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- |Enhancement| :class:`linearmodel.BayesianRidge` now accepts hyperparameters
``alpha_init`` and ``lambda_init`` which can be used to set the initial value
Expand All @@ -73,7 +73,7 @@ Changelog


:mod:`sklearn.preprocessing`
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- |Enhancement| Avoid unnecessary data copy when fitting preprocessors
:class:`preprocessing.StandardScaler`, :class:`preprocessing.MinMaxScaler`,
Expand All @@ -83,7 +83,7 @@ Changelog


:mod:`sklearn.cluster`
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- |Enhancement| :class:`cluster.SpectralClustering` now accepts a ``n_components``
parameter. This parameter extends `SpectralClustering` class functionality to
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