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Commit aaac3b34 authored by Fabian Pedregosa's avatar Fabian Pedregosa
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Changelog for 0.7

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......@@ -14,3 +14,4 @@ Anne-Laure Fouque <afouque@is208050.(none)> Anne-Laure FOUQUE <af216607@is206635
Vincent Dubourg <vincent.dubourg@gmail.com> dubourg <vincent.dubourg@gmail.com>
Vincent Dubourg <vincent.dubourg@gmail.com> dubourg <dubourg@PTlami14.(none)>
Christian Osendorfer <osendorf@gmail.com> osdf <osendorf@gmail.com>
James Bergstra <james.bergstra@gmail.com> james.bergstra <james.bergstra@gmail.com>
......@@ -46,6 +46,7 @@ Generalized Linear Models
linear_model.LinearRegression
linear_model.Ridge
linear_model.RidgeCV
linear_model.Lasso
linear_model.LassoCV
linear_model.ElasticNet
......@@ -113,6 +114,7 @@ Nearest Neighbors
:toctree: generated/
:template: function.rst
neighbors.kneighbors_graph
ball_tree.knn_brute
Gaussian Mixture Models
......
.. currentmodule:: scikits.learn
.. _changes_0_7:
0.7
===
scikits.learn 0.7 was released in March 2011, roughly three months
after the 0.6 release. This release is marked by the speed
improvements in existing algorithms, like k-Nearest Neighbors and
K-Means algorithm and by the inclusion of an efficient algorithm for
computing the Ridge Generalized Cross Validation solution. Unlike the
preceding release, no new modules where added to this release.
Changelog
---------
- Performance improvements for Gaussian Mixture Model sampling [Jan
Schlüter].
- Implementation of efficient leave-one-out cross-validated Ridge in
:class:`linear_model.RidgeCV` [`Mathieu Blondel`_ ]
- Better handling of collinearity and early stopping in
:func:`linear_model.lars_path` [`Alexandre Gramfort`_ and `Fabian
Pedregosa`_ ].
- Fixes for liblinear ordering of labels and sign of coefficients
[Dan Yamins, Paolo Losi, `Mathieu Blondel`_ and `Fabian Pedregosa`_ ].
- Performance improvements for Nearest Neighbors algorithm in
high-dimensional spaces [`Fabian Pedregosa`_ ].
- Performance improvements for :class:`cluster.KMeans` [`Gael
Varoquaux`_ and `James Bergstra`_ ].
- Sanity checks for SVM-based classes [`Mathieu Blondel`_ ].
- Refactoring of :class:`neighbors.NeighborsClassifier` and
:func:`neighbors.kneighbors_graph`: added different algorithms for
the k-Nearest Neighbor Search and implemented a more stable
algorithm for finding barycenter weigths [`Fabian Pedregosa`_ ].
- Documentation improvements: Added
:class:`pca.RandomizedPCA`. :class:`linear_model.LogisticRegression`. Also
added references of matrices used for clustering and other fixes
[`Gael Varoquaux`_, `Fabian Pedregosa`_, `Mathieu Blondel`_,
`Olivier Grisel`_, Virgile Fritsch , Emmanuelle Gouillart ]
- Binded decision_function in classes that make use of liblinear_,
dense and sparse variants, like :class:`svm.LinearSVC` or
:class:`linear_model.LogisticRegression` [`Fabian Pedregosa`_ ].
- Performance and API improvements to
:func:`metrics.euclidian_distances` and to
:class:`pca.RandomizedPCA` [`James Bergstra`_ ]
- Fix compilation issues under NetBSD [Kamel Ibn Hassen Derouiche]
- Allow input sequences of different lengths in :class:`hmm.GaussianHMM`
[`Ron Weiss`_ ]
- Fix bug in affinity propagation caused by incorrect indexing [mxf]
People
------
People that made this release possible preceeded by number of commits:
- 85 `Fabian Pedregosa`_
- 67 `Mathieu Blondel`_
- 20 `Alexandre Gramfort`_
- 19 `James Bergstra`_
- 14 Dan Yamins
- 13 `Olivier Grisel`_
- 12 `Gael Varoquaux`_
- 4 Edouard Duchesnay
- 4 `Ron Weiss`_
- 2 Satrajit Ghosh
- 2 `Vincent Dubourg`_
- 1 Emmanuelle Gouillart
- 1 Kamel Ibn Hassen Derouiche
- 1 Paolo Losi
- 1 VirgileFritsch
- 1 `Yaroslav Halchenko`_
- 1 mxf
.. _changes_0_6:
0.6
......@@ -299,3 +387,15 @@ of commits):
* 2 Vincent Michel
* 1 Chris Filo Gorgolewski
.. _Alexandre Gramfort: http://www-sop.inria.fr/members/Alexandre.Gramfort/index.fr.html
.. _Fabian Pedregosa: http://fseoane.net/blog/
.. _Mathieu Blondel: http://www.mblondel.org/journal/
.. _James Bergstra: http://www-etud.iro.umontreal.ca/~bergstrj/
.. _liblinear: http://www.csie.ntu.edu.tw/~cjlin/liblinear/
.. _Yaroslav Halchenko: http://www.onerussian.com/
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