@@ -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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+
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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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+
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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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