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Commit 4ddb27a2 authored by Fabian Pedregosa's avatar Fabian Pedregosa
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Update changelog

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......@@ -72,6 +72,8 @@ and pipeline on 2D data.
* :ref:`example_cluster_plot_vq_china.py`
.. _sample_generators:
Sample generators
=================
......@@ -97,6 +99,8 @@ can be used to build artifical datasets of controled size and complexity.
make_s_curve
.. _libsvm_loader:
Datasets in svmlight / libsvm format
====================================
......
.. _multiclass:
=====================
Multiclass algorithms
=====================
......
......@@ -70,6 +70,8 @@ estimated using maximum likelihood.
* :ref:`example_naive_bayes.py`
.. _multinomial_naive_bayes:
Multinomial Naive Bayes
-----------------------
......@@ -105,6 +107,8 @@ of class :math:`c`. The smoothness priors :math:`\alpha_i` and their sum
:math:`\alpha` account for words not seen in the learning samples.
.. _bernoulli_naive_bayes:
Bernoulli Naive Bayes
---------------------
......
......@@ -41,8 +41,8 @@ Changelog
Model by `Alexandre Passos`_
- :ref:`neighbors` module refactoring by `Jake Vanderplas`_ :
general refactoring, support for sparse matrices as input and
speed improvements. See the next section for a full list of API
general refactoring, support for sparse matrices in input, speed and
documentation improvements. See the next section for a full list of API
changes.
- feature_selection improvements by `Gilles Louppe`_ :
......@@ -52,13 +52,40 @@ Changelog
- :ref:`SparsePCA` by `Vlad Niculae`_, `Gael Varoquaux`_ and
`Alexandre Gramfort`_
- Sorting parameters in BaseEstimtor.__repr__
- Printing an estimator now behaves independently of architectures
and Python version thanks to Jean Kossaifi.
- Loader for libsvm/svmlight format by `Mathieu Blondel`_ and
`Lars Buitinck`_
- :ref:`Loader for libsvm/svmlight format <libsvm_loader>` by
`Mathieu Blondel`_ and `Lars Buitinck`_
- Documentation improvements: thumbnails in gallery, extended
documentation for modules feature_selection, (...).
- Documentation improvements: thumbnails in
:ref:`example gallery <_examples-index>` by `Fabian Pedregosa`_,
extended documentation for modules feature_selection, (...).
- Important bugfixes in :ref:`svm` module (segfaults, bad
performance) by `Fabian Pedregosa`_.
- Added :ref:`multinomial_naive_bayes` and :ref:`bernoulli_naive_bayes`
by `Lars Buitinck`_
- Text feature extraction optimizations by Lars Buitinck
- Chi-Square feature selection
(:func:`feature_selection.univariate_selection.chi2`) by `Lars Buitinck`.
- :ref:`sample_generators` module refactoring by Gilles Louppe
- :ref:`multiclass` by `Mathieu Blondel`_
- Ball tree rewrite by `Jake Vanderplas`_
- Implementation of :ref:`dbscan` algorithm by Robert Layton
- Kmeans predict and transform by Robert Layton
- Preprocessing module refactoring by Olivier Grisel
- faster mean shift by Conrad Lee
API changes summary
......@@ -121,7 +148,7 @@ version 0.8:
``sklearn.neighbors.BallTree``. Using the former will generate a warning.
- ``sklearn.linear_model.LARS()`` and related classes (LassoLARS,
LassoLARSIC, etc.) have been renamed to
LassoLARSCV, etc.) have been renamed to
``sklearn.linear_model.Lars()``.
Backward compatibilty package aliases and other deprecated classes and
......@@ -676,3 +703,5 @@ of commits):
.. _INRIA: http://inria.fr
.. _Parietal Team: http://parietal.saclay.inria.fr/
.. _Lars Buitinck: https://github.com/larsmans
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