@@ -2304,7 +2304,7 @@ Enhancements
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:class: `cluster.MeanShift `, by `Mathieu Blondel `_.
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- Vector and matrix multiplications have been optimised throughout the
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- library by :user: `Denis Engemann <dengemann> ` , and `Alexandre Gramfort `_.
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+ library by `Denis Engemann `_ , and `Alexandre Gramfort `_.
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In particular, they should take less memory with older NumPy versions
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(prior to 1.7.2).
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@@ -2317,7 +2317,7 @@ Enhancements
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- Added svd_method option with default value to "randomized" to
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:class: `decomposition.FactorAnalysis ` to save memory and
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- significantly speedup computation by :user: `Denis Engemann <dengemann> ` , and
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+ significantly speedup computation by `Denis Engemann `_ , and
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`Alexandre Gramfort `_.
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- Changed :class: `cross_validation.StratifiedKFold ` to try and
@@ -2840,7 +2840,7 @@ Changelog
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faster on sparse data (the speedup depends on the sparsity). By
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`Lars Buitinck `_.
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- - Reduce memory footprint of FastICA by :user: `Denis Engemann <dengemann> ` and
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+ - Reduce memory footprint of FastICA by `Denis Engemann `_ and
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`Alexandre Gramfort `_.
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- Verbose output in :mod: `sklearn.ensemble.gradient_boosting ` now uses
@@ -4986,3 +4986,5 @@ David Huard, Dave Morrill, Ed Schofield, Travis Oliphant, Pearu Peterson.
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.. _Kathleen Chen : https://github.com/kchen17
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.. _Vincent Pham : https://github.com/vincentpham1991
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+
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+ .. _Denis Engemann : http://denis-engemann.de
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