diff --git a/doc/whats_new/upcoming_changes/sklearn.feature_selection/30179.enhancement.rst b/doc/whats_new/upcoming_changes/sklearn.feature_selection/30179.enhancement.rst index 97e147d81db10..6eec68c0d95e7 100644 --- a/doc/whats_new/upcoming_changes/sklearn.feature_selection/30179.enhancement.rst +++ b/doc/whats_new/upcoming_changes/sklearn.feature_selection/30179.enhancement.rst @@ -1,3 +1,3 @@ - :class:`feature_selection.RFECV` now gives access to the ranking and support in each - iteration and cv step of feature selection. + iteration and cv step of feature selection. By :user:`Marie S. ` diff --git a/doc/whats_new/upcoming_changes/sklearn.linear_model/30521.fix.rst b/doc/whats_new/upcoming_changes/sklearn.linear_model/30521.fix.rst index 7a3c238f53d84..74ad18fbd2f8e 100644 --- a/doc/whats_new/upcoming_changes/sklearn.linear_model/30521.fix.rst +++ b/doc/whats_new/upcoming_changes/sklearn.linear_model/30521.fix.rst @@ -1,4 +1,4 @@ -- |Enhancement| Added a new parameter `tol` to - :class:`linear_model.LinearRegression` that determines the precision of the - solution `coef_` when fitting on sparse data. - By :user:`Success Moses ` +- |Enhancement| Added a new parameter `tol` to + :class:`linear_model.LinearRegression` that determines the precision of the + solution `coef_` when fitting on sparse data. + By :user:`Success Moses ` diff --git a/doc/whats_new/upcoming_changes/sklearn.linear_model/30616.api.rst b/doc/whats_new/upcoming_changes/sklearn.linear_model/30616.api.rst index 8d0a032fd284f..2b9d30e445bcf 100644 --- a/doc/whats_new/upcoming_changes/sklearn.linear_model/30616.api.rst +++ b/doc/whats_new/upcoming_changes/sklearn.linear_model/30616.api.rst @@ -1,9 +1,9 @@ -The parameter `n_alphas` has been deprecated in the following classes: -:class:`linear_model.ElasticNetCV` and :class:`linear_model.LassoCV` -and :class:`linear_model.MultiTaskElasticNetCV` -and :class:`linear_model.MultiTaskLassoCV`, and will be removed in 1.9. The parameter -`alphas` now supports both integers and array-likes, removing the need for `n_alphas`. -From now on, only `alphas` should be set to either indicate the number of alphas to -automatically generate (int) or to provide a list of alphas (array-like) to test along -the regularization path. -By :user:`Siddharth Bansal `. +- The parameter `n_alphas` has been deprecated in the following classes: + :class:`linear_model.ElasticNetCV` and :class:`linear_model.LassoCV` + and :class:`linear_model.MultiTaskElasticNetCV` + and :class:`linear_model.MultiTaskLassoCV`, and will be removed in 1.9. The parameter + `alphas` now supports both integers and array-likes, removing the need for `n_alphas`. + From now on, only `alphas` should be set to either indicate the number of alphas to + automatically generate (int) or to provide a list of alphas (array-like) to test along + the regularization path. + By :user:`Siddharth Bansal `. diff --git a/doc/whats_new/upcoming_changes/sklearn.linear_model/30644.fix.rst b/doc/whats_new/upcoming_changes/sklearn.linear_model/30644.fix.rst index c9254fe350e28..9c8a85b080617 100644 --- a/doc/whats_new/upcoming_changes/sklearn.linear_model/30644.fix.rst +++ b/doc/whats_new/upcoming_changes/sklearn.linear_model/30644.fix.rst @@ -1,3 +1,3 @@ -- The update and initialization of the hyperparameters now properly handle - sample weights in :class:`linear_model.BayesianRidge`. - By :user:`Antoine Baker `. +- The update and initialization of the hyperparameters now properly handle + sample weights in :class:`linear_model.BayesianRidge`. + By :user:`Antoine Baker `. diff --git a/doc/whats_new/upcoming_changes/sklearn.manifold/31117.enhancement.rst b/doc/whats_new/upcoming_changes/sklearn.manifold/31117.enhancement.rst index 51b9222c91e08..87b6896890163 100644 --- a/doc/whats_new/upcoming_changes/sklearn.manifold/31117.enhancement.rst +++ b/doc/whats_new/upcoming_changes/sklearn.manifold/31117.enhancement.rst @@ -1,3 +1,3 @@ -:class:`manifold.MDS` will switch to use `n_init=1` by default, -starting from version 1.9. -By :user:`Dmitry Kobak ` +- :class:`manifold.MDS` will switch to use `n_init=1` by default, + starting from version 1.9. + By :user:`Dmitry Kobak ` diff --git a/doc/whats_new/upcoming_changes/sklearn.manifold/31117.fix.rst b/doc/whats_new/upcoming_changes/sklearn.manifold/31117.fix.rst index 5ade720cfa570..6248a23b86546 100644 --- a/doc/whats_new/upcoming_changes/sklearn.manifold/31117.fix.rst +++ b/doc/whats_new/upcoming_changes/sklearn.manifold/31117.fix.rst @@ -1,5 +1,5 @@ -:class:`manifold.MDS` now uses `eps=1e-6` by default and the convergence -criterion was adjusted to make sense for both metric and non-metric MDS -and to follow the reference R implementation. The formula for normalized -stress was adjusted to follow the original definition by Kruskal. -By :user:`Dmitry Kobak ` +- :class:`manifold.MDS` now uses `eps=1e-6` by default and the convergence + criterion was adjusted to make sense for both metric and non-metric MDS + and to follow the reference R implementation. The formula for normalized + stress was adjusted to follow the original definition by Kruskal. + By :user:`Dmitry Kobak ` diff --git a/doc/whats_new/upcoming_changes/sklearn.neural_network/24788.fix.rst b/doc/whats_new/upcoming_changes/sklearn.neural_network/24788.fix.rst index ea67942daec59..dc2742e9a04d8 100644 --- a/doc/whats_new/upcoming_changes/sklearn.neural_network/24788.fix.rst +++ b/doc/whats_new/upcoming_changes/sklearn.neural_network/24788.fix.rst @@ -1,3 +1,3 @@ -:class:`neural_network.MLPRegressor` now raises an informative error when -`early_stopping` is set and the computed validation set is too small. -By :user:`David Shumway `. +- :class:`neural_network.MLPRegressor` now raises an informative error when + `early_stopping` is set and the computed validation set is too small. + By :user:`David Shumway `. diff --git a/doc/whats_new/upcoming_changes/sklearn.utils/29907.enhancement.rst b/doc/whats_new/upcoming_changes/sklearn.utils/29907.enhancement.rst index 497c53cd96254..0a17e5d1d1ae1 100644 --- a/doc/whats_new/upcoming_changes/sklearn.utils/29907.enhancement.rst +++ b/doc/whats_new/upcoming_changes/sklearn.utils/29907.enhancement.rst @@ -1,5 +1,4 @@ - - :func: `resample` now handles sample weights which allows weighted resampling. - :pr:`29907` by :user:`Shruti Nath ` and :user:`Olivier Grisel + By :user:`Shruti Nath ` and :user:`Olivier Grisel ` diff --git a/doc/whats_new/upcoming_changes/sklearn.utils/30775.fix.rst b/doc/whats_new/upcoming_changes/sklearn.utils/30775.fix.rst index 7f8503b25300b..bd383a70c2bba 100644 --- a/doc/whats_new/upcoming_changes/sklearn.utils/30775.fix.rst +++ b/doc/whats_new/upcoming_changes/sklearn.utils/30775.fix.rst @@ -1,5 +1,5 @@ -- In :mod:`utils.estimator_checks` we now enforce for binary classifiers a - binary `y` by taking the minimum as the negative class instead of the first - element, which makes it robust to `y` shuffling. It prevents two checks from - wrongly failing on binary classifiers. - By :user:`Antoine Baker `. +- In :mod:`utils.estimator_checks` we now enforce for binary classifiers a + binary `y` by taking the minimum as the negative class instead of the first + element, which makes it robust to `y` shuffling. It prevents two checks from + wrongly failing on binary classifiers. + By :user:`Antoine Baker `.