Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
S
scikit-learn
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Model registry
Operate
Environments
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
GitLab community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Ian Johnson
scikit-learn
Commits
4ddb27a2
Commit
4ddb27a2
authored
13 years ago
by
Fabian Pedregosa
Browse files
Options
Downloads
Patches
Plain Diff
Update changelog
parent
fe1305fc
No related branches found
No related tags found
No related merge requests found
Changes
4
Show whitespace changes
Inline
Side-by-side
Showing
4 changed files
doc/datasets/index.rst
+4
-0
4 additions, 0 deletions
doc/datasets/index.rst
doc/modules/multiclass.rst
+3
-0
3 additions, 0 deletions
doc/modules/multiclass.rst
doc/modules/naive_bayes.rst
+4
-0
4 additions, 0 deletions
doc/modules/naive_bayes.rst
doc/whats_new.rst
+37
-8
37 additions, 8 deletions
doc/whats_new.rst
with
48 additions
and
8 deletions
doc/datasets/index.rst
+
4
−
0
View file @
4ddb27a2
...
...
@@ -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
====================================
...
...
This diff is collapsed.
Click to expand it.
doc/modules/multiclass.rst
+
3
−
0
View file @
4ddb27a2
.. _multiclass:
=====================
Multiclass algorithms
=====================
...
...
This diff is collapsed.
Click to expand it.
doc/modules/naive_bayes.rst
+
4
−
0
View file @
4ddb27a2
...
...
@@ -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
---------------------
...
...
This diff is collapsed.
Click to expand it.
doc/whats_new.rst
+
37
−
8
View file @
4ddb27a2
...
...
@@ -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 B
lo
n
de
l`_ and
`Lars Buitinck`_
-
:ref:`
Loader for libsvm/svmlight format
<libsvm_
lo
a
de
r>` 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,
LassoLARS
I
C, etc.) have been renamed to
LassoLARSC
V
, 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
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment