From 2842f488ef587e7a74344a6082bdf81b5dde21ba Mon Sep 17 00:00:00 2001
From: Andreas Mueller <amueller@ais.uni-bonn.de>
Date: Mon, 19 Dec 2011 12:13:51 +0100
Subject: [PATCH] FIX doc rst references
---
doc/developers/performance.rst | 2 +-
doc/modules/naive_bayes.rst | 2 +-
doc/whats_new.rst | 6 +++---
3 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/doc/developers/performance.rst b/doc/developers/performance.rst
index 0ad41037bf..ba9e73af7a 100644
--- a/doc/developers/performance.rst
+++ b/doc/developers/performance.rst
@@ -87,7 +87,7 @@ for interactively exploring the relevant part for the code.
Suppose we want to profile the Non Negative Matrix Factorization module
of the scikit. Let us setup a new IPython session and load the digits
-dataset and as in the :ref:`example_decomposition_plot_nmf.py` example::
+dataset and as in the :ref:`example_plot_plot_digits_classification.py` example::
In [1]: from sklearn.decomposition import NMF
diff --git a/doc/modules/naive_bayes.rst b/doc/modules/naive_bayes.rst
index 9331476eb9..aca244c884 100644
--- a/doc/modules/naive_bayes.rst
+++ b/doc/modules/naive_bayes.rst
@@ -90,7 +90,7 @@ are estimated using maximum likelihood.
.. topic:: Examples:
- * :ref:`example_naive_bayes.py`
+ * :ref:`example_gaussian_naive_bayes.py`
.. _multinomial_naive_bayes:
diff --git a/doc/whats_new.rst b/doc/whats_new.rst
index 260b032a34..34e221ef36 100644
--- a/doc/whats_new.rst
+++ b/doc/whats_new.rst
@@ -548,7 +548,7 @@ Changelog
- Lots of cool new examples and a new section that uses real-world
datasets was created. These include:
- :ref:`example_applications_plot_face_recognition.py`,
+ :ref:`example_applications_face_recognition.py`,
:ref:`example_applications_plot_species_distribution_modeling.py`,
:ref:`example_applications_svm_gui.py`,
:ref:`example_applications_wikipedia_principal_eigenvector.py` and
@@ -625,7 +625,7 @@ New classes
- New :class:`pipeline.Pipeline` object to compose different estimators.
- Recursive Feature Elimination routines in module
- :ref:`feature_selection_doc`.
+ :ref:`feature_selection`.
- Addition of various classes capable of cross validation in the
linear_model module (:class:`linear_model.LassoCV`, :class:`linear_model.ElasticNetCV`,
@@ -673,7 +673,7 @@ Examples
- new examples using some of the mlcomp datasets:
:ref:`example_mlcomp_sparse_document_classification.py`,
- :ref:`example_mlcomp_document_classification.py`
+ :ref:`example_document_classification_20newsgroups.py`
- Many more examaples. `See here
<http://scikit-learn.org/stable/auto_examples/index.html>`_
--
GitLab