8000 DOC add what's new entry for cross_val_predict fix · scikit-learn/scikit-learn@e62e9e1 · GitHub
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DOC add what's new entry for cross_val_predict fix
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‎doc/whats_new.rst

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@@ -128,7 +128,7 @@ Bug fixes
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- Fixed bug in :class:`linear_model.LogisticRegressionCV` where `penalty` was ignored
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in the final fit. By `Manoj Kumar`_.
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- Fixed bug in :class:`ensemble.forest.ForestClassifier` while computing
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- Fixed bug in :class:`ensemble.forest.ForestClassifier` while computing
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oob_score and X is a sparse.csc_matrix. By `Ankur Ankan`_.
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- All regressors now consistently handle and warn when given ``y`` that is of
@@ -137,9 +137,12 @@ Bug fixes
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- Fix in :class:`cluster.KMeans` cluster reassignment for sparse input by
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`Lars Buitinck`_.
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- Fixed a bug in :class:`lda.LDA` that could cause asymmetric covariance
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- Fixed a bug in :class:`lda.LDA` that could cause asymmetric covariance
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matrices when using shrinkage. By `Martin Billinger`_.
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- Fixed :func:`cross_validation.cross_val_predict` for estimators with
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sparse predictions. By Buddha Prakash.
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API changes summary
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-------------------
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