From 2c3d9e2fce5d2bae27e10657aa3c7ff45c39b190 Mon Sep 17 00:00:00 2001
From: Fabian Pedregosa <fabian.pedregosa@inria.fr>
Date: Fri, 17 Dec 2010 15:31:37 +0100
Subject: [PATCH] Update doc.
---
AUTHORS.rst | 7 ++++---
doc/modules/linear_model.rst | 7 ++-----
doc/whats_new.rst | 11 ++++++-----
examples/applications/README.txt | 2 +-
4 files changed, 13 insertions(+), 14 deletions(-)
diff --git a/AUTHORS.rst b/AUTHORS.rst
index bd944e17a1..3367a57abe 100644
--- a/AUTHORS.rst
+++ b/AUTHORS.rst
@@ -50,7 +50,8 @@ People
* `Gael Varoquaux <http://gael-varoquaux.info/blog/>`_
- * Jake VanderPlas contributed the BallTree module in February 2010.
+ * `Jake VanderPlas <http://www.astro.washington.edu/users/vanderplas/>`_
+ contributed the BallTree module in February 2010.
* `Alexandre Gramfort
<http://www-sop.inria.fr/members/Alexandre.Gramfort/index.fr.html>`_
@@ -75,8 +76,8 @@ People
fixes.
* `Mathieu Blondel <http://mblondel.org/journal>`_ joined the
- projectin September 2010 and worked on the sparse matrix support,
- text feature extraction and bug fixes.
+ project in September 2010 and has worked since on the sparse
+ matrix support, text feature extraction and general bug fixes.
* `Peter Prettenhofer
<http://sites.google.com/site/peterprettenhofer/>`_ joined the
diff --git a/doc/modules/linear_model.rst b/doc/modules/linear_model.rst
index 3e7de9e29d..269dd2b19f 100644
--- a/doc/modules/linear_model.rst
+++ b/doc/modules/linear_model.rst
@@ -127,7 +127,7 @@ this reason, the Lasso and its variants are fundamental to the field
of compressed sensing.
This implementation uses coordinate descent as the algorithm to fit
-the coefficients. See :ref:`lars_algorithm` for another implementation.
+the coefficients. See :ref:`least_angle_regression` for another implementation.
>>> clf = linear_model.Lasso(alpha = 0.1)
>>> clf.fit ([[0, 0], [1, 1]], [0, 1])
@@ -200,9 +200,6 @@ The disadvantages of the LARS method include:
The LARS model can be used using estimator :class:`LARS`, or its
low-level implementation :func:`lars_path`.
-.. topic:: Examples:
-
- * :ref:`example_linear_model_plot_lar.py`
LARS Lasso
==========
@@ -351,7 +348,7 @@ Regression* is more robust to ill-posed problem.
.. topic:: References
- * More details can be found in the article `paper <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.27.9072&rep=rep1&type=pdf>`_
+ * More details can be found in the article `Bayesian Interpolation <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.27.9072&rep=rep1&type=pdf>`_
by MacKay, David J. C.
diff --git a/doc/whats_new.rst b/doc/whats_new.rst
index 541c02bd8a..b15c418556 100644
--- a/doc/whats_new.rst
+++ b/doc/whats_new.rst
@@ -46,7 +46,7 @@ Changelog
- New `stochastic gradient
<http://scikit-learn.sourceforge.net/modules/sgd.html>`_ descent
module by Peter Prettenhofer. The module comes with complete
- documentation and some examples can
+ documentation and examples.
- Improved svm module: memory consumption has been reduced by 50%,
heuristic to automatically set class weights, possibility to
@@ -60,13 +60,13 @@ Changelog
for a taste of what can be done.
- It is now possible to use liblinear’s Multi-class SVC (option
- multi_class in :class:`linear_model.LinearSVC`)
+ multi_class in :class:`svm.LinearSVC`)
- New features and performance improvements of text feature
extraction.
- Improved sparse matrix support, both in main classes
- (:class:`grid_search.GridSearch`) as in modules
+ (:class:`grid_search.GridSearchCV`) as in modules
scikits.learn.svm.sparse and scikits.learn.linear_model.sparse.
- Lots of cool new examples and a new section that uses real-world
@@ -77,8 +77,9 @@ Changelog
:ref:`example_applications_wikipedia_principal_eigenvector.py` and
others.
- - Faster LARS algorithm. It is now 2x faster than the R version on
- worst case and up to 10x times faster on some cases.
+ - Faster :ref:`least_angle_regression` algorithm. It is now 2x
+ faster than the R version on worst case and up to 10x times faster
+ on some cases.
- Faster coordinate descent algorithm. In particular, the full path
version of lasso (:func:`linear_model.lasso_path`) is more than
diff --git a/examples/applications/README.txt b/examples/applications/README.txt
index 1fb6f2c981..c5c845032e 100644
--- a/examples/applications/README.txt
+++ b/examples/applications/README.txt
@@ -1,5 +1,5 @@
-Exampls based on real world datasets
+Examples based on real world datasets
------------------------------------
Applications to real world problems with some medium sized datasets or
--
GitLab