@@ -380,18 +380,18 @@ Support for Python 3.4 and below has been officially dropped.
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deterministic when trained in a multi-class setting on several threads.
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:issue: `13422 ` by :user: `Clément Doumouro <ClemDoum> `.
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- - |Fix | Fixed bug in :func: `linear_model.ridge. ridge_regression `,
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- :class: `linear_model.ridge. Ridge ` and
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- :class: `linear_model.ridge.ridge. RidgeClassifier ` that
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+ - |Fix | Fixed bug in :func: `linear_model.ridge_regression `,
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+ :class: `linear_model.Ridge ` and
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+ :class: `linear_model.ridge.RidgeClassifier ` that
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caused unhandled exception for arguments ``return_intercept=True `` and
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``solver=auto `` (default) or any other solver different from ``sag ``.
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:issue: `13363 ` by :user: `Bartosz Telenczuk <btel> `
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- - |Fix | :func: `linear_model.ridge. ridge_regression ` will now raise an exception
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+ - |Fix | :func: `linear_model.ridge_regression ` will now raise an exception
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if ``return_intercept=True `` and solver is different from ``sag ``. Previously,
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only warning was issued. :issue: `13363 ` by :user: `Bartosz Telenczuk <btel> `
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- - |Fix | :func: `linear_model.ridge. ridge_regression ` will choose ``sparse_cg ``
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+ - |Fix | :func: `linear_model.ridge_regression ` will choose ``sparse_cg ``
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solver for sparse inputs when ``solver=auto `` and ``sample_weight ``
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is provided (previously `cholesky ` solver was selected).
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:issue: `13363 ` by :user: `Bartosz Telenczuk <btel> `
@@ -449,8 +449,8 @@ Support for Python 3.4 and below has been officially dropped.
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`Joel Nothman `_ and `Andreas Müller `_
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- |Enhancement | Added `beta ` parameter to
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- :func: `metrics.cluster.supervised. homogeneity_completeness_v_measure ` and
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- :func: `metrics.cluster.supervised. v_measure_score ` to configure the
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+ :func: `metrics.cluster.homogeneity_completeness_v_measure ` and
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+ :func: `metrics.cluster.v_measure_score ` to configure the
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tradeoff between homogeneity and completeness.
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:issue: `13607 ` by :user: `Stephane Couvreur <scouvreur> ` and
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and :user: `Ivan Sanchez <ivsanro1> `.
@@ -534,7 +534,7 @@ Support for Python 3.4 and below has been officially dropped.
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:mod: `sklearn.multioutput `
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..........................
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- - |Fix | Fixed a bug in :class: `multiout .MultiOutputClassifier ` where the
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+ - |Fix | Fixed a bug in :class: `multioutput .MultiOutputClassifier ` where the
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`predict_proba ` method incorrectly checked for `predict_proba ` attribute in
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the estimator object.
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:issue: `12222 ` by :user: `Rebekah Kim <rebekahkim> `
@@ -628,7 +628,7 @@ Support for Python 3.4 and below has been officially dropped.
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- |API | The default value of `copy ` in :func: `preprocessing.quantile_transform `
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will change from False to True in 0.23 in order to make it more consistent
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with the default `copy ` values of other functions in
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- :mod: `preprocessing.data ` and prevent unexpected side effects by modifying
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+ :mod: `preprocessing ` and prevent unexpected side effects by modifying
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the value of `X ` inplace.
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:issue: `13459 ` by :user: `Hunter McGushion <HunterMcGushion> `.
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@@ -650,7 +650,7 @@ Support for Python 3.4 and below has been officially dropped.
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removing a hard-to-install dependency. :issue: `8508 ` by `Andreas Müller `_.
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- |Feature | Decision Trees can now be exported in a human readable
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- textual format using :func: `tree.export. export_text `.
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+ textual format using :func: `tree.export_text `.
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:issue: `6261 ` by `Giuseppe Vettigli <JustGlowing> `.
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- |Feature | ``get_n_leaves() `` and ``get_depth() `` have been added to
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