10000 MNT Fix the formatting of the what's new entries for 1.7 (#31272) · scikit-learn/scikit-learn@c4760ba · GitHub
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MNT Fix the formatting of the what's new entries for 1.7 (#31272)
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‎doc/whats_new/upcoming_changes/sklearn.feature_selection/30179.enhancement.rst

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- :class:`feature_selection.RFECV` now gives access to the ranking and support in each
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iteration and cv step of feature selection.
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iteration and cv step of feature selection.
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By :user:`Marie S. <MarieSacksick>`

‎doc/whats_new/upcoming_changes/sklearn.linear_model/30521.fix.rst

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- |Enhancement| Added a new parameter `tol` to
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:class:`linear_model.LinearRegression` that determines the precision of the
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solution `coef_` when fitting on sparse data.
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By :user:`Success Moses <SuccessMoses>`
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- |Enhancement| Added a new parameter `tol` to
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:class:`linear_model.LinearRegression` that determines the precision of the
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solution `coef_` when fitting on sparse data.
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By :user:`Success Moses <SuccessMoses>`

‎doc/whats_new/upcoming_changes/sklearn.linear_model/30616.api.rst

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The parameter `n_alphas` has been deprecated in the following classes:
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:class:`linear_model.ElasticNetCV` and :class:`linear_model.LassoCV`
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and :class:`linear_model.MultiTaskElasticNetCV`
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and :class:`linear_model.MultiTaskLassoCV`, and will be removed in 1.9. The parameter
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`alphas` now supports both integers and array-likes, removing the need for `n_alphas`.
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From now on, only `alphas` should be set to either indicate the number of alphas to
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automatically generate (int) or to provide a list of alphas (array-like) to test along
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the regularization path.
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By :user:`Siddharth Bansal <KANNAHWORLD >`.
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- The parameter `n_alphas` has been deprecated in the following classes:
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:class:`linear_model.ElasticNetCV` and :class:`linear_model.LassoCV`
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and :class:`linear_model.MultiTaskElasticNetCV`
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and :class:`linear_model.MultiTaskLassoCV`, and will be removed in 1.9. The parameter
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`alphas` now supports both integers and array-likes, removing the need for `n_alphas`.
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From now on, only `alphas` should be set to either indicate the number of alphas to
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automatically generate (int) or to provide a list of alphas (array-like) to test along
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the regularization path.
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By :user:`Siddharth Bansal <KANNAHWORLD >`.

‎doc/whats_new/upcoming_changes/sklearn.linear_model/30644.fix.rst

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- The update and initialization of the hyperparameters now properly handle
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sample weights in :class:`linear_model.BayesianRidge`.
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By :user:`Antoine Baker <antoinebaker>`.
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- The update and initialization of the hyperparameters now properly handle
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sample weights in :class:`linear_model.BayesianRidge`.
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By :user:`Antoine Baker <antoinebaker>`.

‎doc/whats_new/upcoming_changes/sklearn.manifold/31117.enhancement.rst

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:class:`manifold.MDS` will switch to use `n_init=1` by default,
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starting from version 1.9.
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By :user:`Dmitry Kobak <dkobak>`
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- :class:`manifold.MDS` will switch to use `n_init=1` by default,
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starting from version 1.9.
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By :user:`Dmitry Kobak <dkobak>`

‎doc/whats_new/upcoming_changes/sklearn.manifold/31117.fix.rst

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:class:`manifold.MDS` now uses `eps=1e-6` by default and the convergence
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criterion was adjusted to make sense for both metric and non-metric MDS
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and to follow the reference R implementation. The formula for normalized
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stress was adjusted to follow the original definition by Kruskal.
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By :user:`Dmitry Kobak <dkobak>`
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- :class:`manifold.MDS` now uses `eps=1e-6` by default and the convergence
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criterion was adjusted to make sense for both metric and non-metric MDS
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and to follow the reference R implementation. The formula for normalized
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stress was adjusted to follow the original definition by Kruskal.
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By :user:`Dmitry Kobak <dkobak>`

‎doc/whats_new/upcoming_changes/sklearn.neural_network/24788.fix.rst

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:class:`neural_network.MLPRegressor` now raises an informative error when
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`early_stopping` is set and the computed validation set is too small.
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By :user:`David Shumway <davidshumway>`.
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- :class:`neural_network.MLPRegressor` now raises an informative error when
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`early_stopping` is set and the computed validation set is too small.
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By :user:`David Shumway <davidshumway>`.

‎doc/whats_new/upcoming_changes/sklearn.utils/29907.enhancement.rst

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- :func: `resample` now handles sample weights which allows
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weighted resampling.
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:pr:`29907` by :user:`Shruti Nath <snath-xoc>` and :user:`Olivier Grisel
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By :user:`Shruti Nath <snath-xoc>` and :user:`Olivier Grisel
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<ogrisel>`

‎doc/whats_new/upcoming_changes/sklearn.utils/30775.fix.rst

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- In :mod:`utils.estimator_checks` we now enforce for binary classifiers a
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binary `y` by taking the minimum as the negative class instead of the first
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element, which makes it robust to `y` shuffling. It prevents two checks from
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wrongly failing on binary classifiers.
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By :user:`Antoine Baker <antoinebaker>`.
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- In :mod:`utils.estimator_checks` we now enforce for binary classifiers a
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binary `y` by taking the minimum as the negative class instead of the first
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element, which makes it robust to `y` shuffling. It prevents two checks from
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wrongly failing on binary classifiers.
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By :user:`Antoine Baker <antoinebaker>`.

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