@@ -38,7 +38,7 @@ random sampling procedures.
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seed, including :class: `linear_model.LogisticRegression `,
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:class: `linear_model.LogisticRegressionCV `, :class: `linear_model.Ridge `,
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and :class: `linear_model.RidgeCV ` with 'sag' solver. |Fix |
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- - :class: `linear_model.ridge. RidgeCV ` when using generalized cross-validation
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+ - :class: `linear_model.RidgeCV ` when using generalized cross-validation
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with sparse inputs. |Fix |
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@@ -510,7 +510,7 @@ Support for Python 3.4 and below has been officially dropped.
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in version 0.21 and will be removed in version 0.23.
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:pr: `12821 ` by :user: `Nicolas Hug <NicolasHug> `.
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- - |Fix | :class: `linear_model.ridge. RidgeCV ` with generalized cross-validation
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+ - |Fix | :class: `linear_model.RidgeCV ` with generalized cross-validation
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now correctly fits an intercept when ``fit_intercept=True `` and the design
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matrix is sparse. :issue: `13350 ` by :user: `Jérôme Dockès <jeromedockes> `
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@@ -587,11 +587,11 @@ Support for Python 3.4 and below has been officially dropped.
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in version 0.21 and will be removed in version 0.23. :pr: `10580 ` by
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:user: `Reshama Shaikh <reshamas> ` and :user: `Sandra Mitrovic <SandraMNE> `.
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- - |Fix | The function :func: `euclidean_distances `, and therefore
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- several estimators with ``metric='euclidean' ``, suffered from numerical
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- precision issues with ``float32 `` features. Precision has been increased at the
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- cost of a small drop of performance. :pr: `13554 ` by :user: ` Celelibi ` and
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- :user: `Jérémie du Boisberranger <jeremiedbb> `.
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+ - |Fix | The function :func: `metrics.pairwise. euclidean_distances `, and
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+ therefore several estimators with ``metric='euclidean' ``, suffered from
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+ numerical precision issues with ``float32 `` features. Precision has been
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+ increased at the cost of a small drop of performance. :pr: `13554 ` by
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+ :user: `Celelibi ` and :user: ` Jérémie du Boisberranger <jeremiedbb> `.
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- |API | :func: `metrics.jaccard_similarity_score ` is deprecated in favour of
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the more consistent :func: `metrics.jaccard_score `. The former behavior for
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