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minor fixes to whats_new.rst for 0.19-dev (scikit-learn#8886)
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doc/whats_new.rst

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@@ -169,7 +169,7 @@ Enhancements
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- :class:`ensemble.VotingClassifier` now allow changing estimators by using
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:meth:`ensemble.VotingClassifier.set_params`. Estimators can also be
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removed by setting it to `None`.
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:issue:`7674` by:user:`Yichuan Liu <yl565>`.
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:issue:`7674` by :user:`Yichuan Liu <yl565>`.
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Bug fixes
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@@ -316,16 +316,16 @@ API changes summary
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(``n_samples``, ``n_classes``) for that particular output.
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:issue:`8093` by :user:`Peter Bull <pjbull>`.
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- Deprecate the ``fit_params`` constructor input to the
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:class:`sklearn.model_selection.GridSearchCV` and
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:class:`sklearn.model_selection.RandomizedSearchCV` in favor
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of passing keyword parameters to the ``fit`` methods
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of those classes. Data-dependent parameters needed for model
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training should be passed as keyword arguments to ``fit``,
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and conforming to this convention will allow the hyperparameter
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selection classes to be used with tools such as
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:func:`sklearn.model_selection.cross_val_predict`.
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:issue:`2879` by :user:`Stephen Hoover <stephen-hoover>`.
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- Deprecate the ``fit_params`` constructor input to the
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:class:`sklearn.model_selection.GridSearchCV` and
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:class:`sklearn.model_selection.RandomizedSearchCV` in favor
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of passing keyword parameters to the ``fit`` methods
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of those classes. Data-dependent parameters needed for model
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training should be passed as keyword arguments to ``fit``,
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and conforming to this convention will allow the hyperparameter
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selection classes to be used with tools such as
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:func:`sklearn.model_selection.cross_val_predict`.
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:issue:`2879` by :user:`Stephen Hoover <stephen-hoover>`.
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- Estimators with both methods ``decision_function`` and ``predict_proba``
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are now required to have a monotonic relation between them. The
@@ -5080,4 +5080,4 @@ David Huard, Dave Morrill, Ed Schofield, Travis Oliphant, Pearu Peterson.
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.. _Anish Shah: https://github.com/AnishShah
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.. _Neeraj Gangwar: http://neerajgangwar.in
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.. _Arthur Mensch: https://amensch.fr
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.. _Arthur Mensch: https://amensch.fr

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