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add bugfix entry in whats_new
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doc/whats_new.rst

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@@ -168,7 +168,7 @@ Enhancements
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- Add ``sample_weight`` parameter to :func:`metrics.cohen_kappa_score` by
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Victor Poughon.
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- In :class:`gaussian_process.GaussianProcessRegressor`, method ``predict``
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- In :class:`gaussian_process.GaussianProcessRegressor`, method ``predict``
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is a lot faster with ``return_std=True`` by :user:`Hadrien Bertrand <hbertrand>`.
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- Added ability to use sparse matrices in :func:`feature_selection.f_regression`
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with ``center=True``. :issue:`8065` by :user:`Daniel LeJeune <acadiansith>`.
@@ -254,7 +254,7 @@ Bug fixes
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:class:`sklearn.covariance.EllipticEnvelope`.
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:issue:`8086` by `Andreas Müller`_.
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- Fix output shape and bugs with n_jobs > 1 in
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- Fix output shape and bugs with n_jobs > 1 in
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:class:`sklearn.decomposition.SparseCoder` transform and :func:`sklarn.decomposition.sparse_encode`
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for one-dimensional data and one component.
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This also impacts the output shape of :class:`sklearn.decomposition.DictionaryLearning`.
@@ -292,7 +292,7 @@ Bug fixes
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both ``'binary'`` but the union of ``y_true`` and ``y_pred`` was
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``'multiclass'``. :issue:`8377` by `Loic Esteve`_.
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- Fix :func:`sklearn.linear_model.BayesianRidge.fit` to return
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- Fix :func:`sklearn.linear_model.BayesianRidge.fit` to return
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ridge parameter `alpha_` and `lambda_` consistent with calculated
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coefficients `coef_` and `intercept_`.
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:issue:`8224` by :user:`Peter Gedeck <gedeck>`.
@@ -305,11 +305,18 @@ Bug fixes
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- Fixed a bug where :func:`sklearn.tree.export_graphviz` raised an error
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when the length of features_names does not match n_features in the decision
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tree.
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:issue:`8512` by :user:`Li Li <aikinogard>`.
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tree. :issue:`8512` by :user:`Li Li <aikinogard>`.
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- Fixed a bug in :class:`manifold.TSNE` affecting convergence of the
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gradient descent. :issue:`8768` by :user:`David DeTomaso <deto>`.
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- Fixed a bug in :class:`linear_model.RandomizedLasso`,
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:class:`linear_model.Lars`, :class:`linear_model.LarsLasso`,
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:class:`linear_model.LarsCV` and :class:`linear_model.LarsLassoCV`,
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where the parameter ``precompute`` were not used consistently accross
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classes, and some values proposed in the docstring could raise errors.
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:issue:`5359` by `Tom Dupre la Tour`_.
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API changes summary
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-------------------
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@@ -363,7 +370,7 @@ API changes summary
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method only if the underlying estimator does. By `Andreas Müller`_.
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- :class:`multiclass.OneVsRestClassifier` now has a ``partial_fit`` method
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only if the underlying estimator does. By `Andreas Müller`_.
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only if the underlying estimator does. By `Andreas Müller`_.
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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
@@ -377,7 +384,7 @@ API changes summary
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the weighted impurity decrease from splitting is no longer alteast
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``min_impurity_decrease``. :issue:`8449` by `Raghav RV_`
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- The ``n_topics`` parameter of :class:`decomposition.LatentDirichletAllocation`
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- The ``n_topics`` parameter of :class:`decomposition.LatentDirichletAllocation`
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has been renamed to ``n_components`` and will be removed in version 0.21.
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:issue:`8922` by :user:Attractadore
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