@@ -35,7 +35,7 @@ have extended the ``scoring`` and ``refit`` parameters for grid/randomized
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search :ref: `to handle multiple metrics <multimetric_grid_search >`.
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We've made some important fixes too. We've fixed a longstanding implementation
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- erorr in :func: `metrics.average_precision_score `, so please be cautious with
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+ error in :func: `metrics.average_precision_score `, so please be cautious with
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prior results reported from that function. A number of errors in the
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:class: `manifold.TSNE ` implementation have been fixed, particularly in the
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default Barnes-Hut approximation. :class: `semi_supervised.LabelSpreading ` and
@@ -207,7 +207,7 @@ Linear, kernelized and related models
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:class: `linear_model.LogisticRegression ` when using newton-cg solver; and
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:class: `linear_model.Ridge ` when using svd, sparse_cg, cholesky or lsqr
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solvers. :issue: `8835 `, :issue: `8061 ` by :user: `Joan Massich <massich> ` and :user: `Nicolas
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- Cordier <ncordier> ` and :user: `Thierry Guillemot `.
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+ Cordier <ncordier> ` and :user: `Thierry Guillemot <tguillemot> `.
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Other predictors
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@@ -468,7 +468,8 @@ Decomposition, manifold learning and clustering
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- Fixed the implementation of :class: `manifold.TSNE `:
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- ``early_exageration `` parameter had no effect and is now used for the
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first 250 optimization iterations.
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- - Fixed the ``InsersionError `` reported in :issue: `8992 `.
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+ - Fixed the ``AssertionError: Tree consistency failed `` exception
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+ reported in :issue: `8992 `.
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- Improve the learning schedule to match the one from the reference
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implementation `lvdmaaten/bhtsne <https://github.com/lvdmaaten/bhtsne >`_.
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by :user: `Thomas Moreau <tomMoral> ` and `Olivier Grisel `_.
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