From 817b17a439cd6f25a297a1e0089111a11a9a17bc Mon Sep 17 00:00:00 2001
From: Fabian Pedregosa <fabian.pedregosa@inria.fr>
Date: Fri, 26 Nov 2010 16:55:29 +0100
Subject: [PATCH] Cosmetic changes in documentation.

---
 doc/modules/gaussian_process.rst | 43 ++++++++++++++++----------------
 doc/modules/sgd.rst              |  8 +++---
 doc/modules/svm.rst              |  4 +--
 3 files changed, 28 insertions(+), 27 deletions(-)

diff --git a/doc/modules/gaussian_process.rst b/doc/modules/gaussian_process.rst
index c11a7e576d..b48ed3bd0c 100644
--- a/doc/modules/gaussian_process.rst
+++ b/doc/modules/gaussian_process.rst
@@ -82,7 +82,7 @@ parameters or alternatively it uses the given parameters.
 
   * :ref:`example_gaussian_process_plot_gp_diabetes_dataset.py`
 
-Mathematica formulation
+Mathematical formulation
 ========================
 
 
@@ -259,25 +259,26 @@ Processes for Machine Learning, please refer to the references below:
 
 .. topic:: References:
 
-    * *"DACE, A Matlab Kriging Toolbox"*
-      S Lophaven, HB Nielsen, J Sondergaard
-      2002,
-      <http://www2.imm.dtu.dk/~hbn/dace/>
+    * `DACE, A Matlab Kriging Toolbox
+      <http://www2.imm.dtu.dk/~hbn/dace/>`_ S Lophaven, HB Nielsen, J
+      Sondergaard 2002
+      
 
-    * *"Screening, predicting, and computer experiments"*
-      WJ Welch, RJ Buck, J Sacks, HP Wynn, TJ Mitchell, and MD Morris
-      Technometrics 34(1) 15--25, 1992,
-      <http://www.jstor.org/pss/1269548>
+    * `Screening, predicting, and computer experiments
+      <http://www.jstor.org/pss/1269548>`_ WJ Welch, RJ Buck, J Sacks,
+      HP Wynn, TJ Mitchell, and MD Morris Technometrics 34(1) 15--25,
+      1992
+      
 
-    * *"Gaussian Processes for Machine Learning"*
-      CE Rasmussen, CKI Williams
-      MIT Press, 2006 (Ed. T Diettrich)
-      <http://www.gaussianprocess.org/gpml/chapters/RW.pdf>
+    * `Gaussian Processes for Machine Learning
+      <http://www.gaussianprocess.org/gpml/chapters/RW.pdf>`_ CE
+      Rasmussen, CKI Williams MIT Press, 2006 (Ed. T Diettrich)
+      
+
+    * `The design and analysis of computer experiments
+      <http://www.stat.osu.edu/~comp_exp/book.html>`_ TJ Santner, BJ
+      Williams, W Notz Springer, 2003
 
-    * *"The design and analysis of computer experiments"*
-      TJ Santner, BJ Williams, W Notz
-      Springer, 2003
-      <http://www.stat.osu.edu/~comp_exp/book.html>
 
 
 .. correlation_models::
@@ -323,7 +324,7 @@ toolbox.
 
 .. topic:: References:
 
-    * *"DACE, A Matlab Kriging Toolbox"*
-      S Lophaven, HB Nielsen, J Sondergaard
-      2002,
-      <http://www2.imm.dtu.dk/~hbn/dace/>
+    * `DACE, A Matlab Kriging Toolbox
+      <http://www2.imm.dtu.dk/~hbn/dace/>`_ S Lophaven, HB Nielsen, J
+      Sondergaard 2002,
+      
diff --git a/doc/modules/sgd.rst b/doc/modules/sgd.rst
index aeabd8e187..db96778e97 100644
--- a/doc/modules/sgd.rst
+++ b/doc/modules/sgd.rst
@@ -40,7 +40,7 @@ classification.
 .. figure:: ../auto_examples/sgd/images/plot_separating_hyperplane.png
    :target: ../auto_examples/sgd/plot_separating_hyperplane.html
    :align: center
-   :scale: 50
+   :scale: 75
 
 As other classifiers, SGD has to be fitted with two arrays:
 an array X of size [n_samples, n_features] holding the training
@@ -145,7 +145,7 @@ models.
 .. figure:: ../auto_examples/sgd/images/plot_ols_sgd.png
    :target: ../auto_examples/sgd/plot_ols_sgd.html
    :align: center
-   :scale: 50
+   :scale: 75
 
 The concrete loss function can be set via the `loss` parameter. :class:`RegressionSGD` supports the
 following loss functions: 
@@ -250,7 +250,7 @@ misclassification error (Zero-one loss) as shown in the Figure below.
 
 .. figure:: ../auto_examples/sgd/images/plot_loss_functions.png
    :align: center
-   :scale: 50
+   :scale: 75
 
 Popular choices for the regularization term :math:`R` include:
 
@@ -263,7 +263,7 @@ in the parameter space when :math:`R(w) = 1`.
 
 .. figure:: ../auto_examples/sgd/images/plot_penalties.png
    :align: center
-   :scale: 50
+   :scale: 75
 
 SGD
 ---
diff --git a/doc/modules/svm.rst b/doc/modules/svm.rst
index c4db2bcda2..3b9a00d8e8 100644
--- a/doc/modules/svm.rst
+++ b/doc/modules/svm.rst
@@ -146,7 +146,7 @@ will only take as input an array X, as there are no class labels.
 .. figure:: ../auto_examples/svm/images/plot_oneclass.png
    :target: ../auto_examples/svm/plot_oneclass.html
    :align: center
-   :scale: 50
+   :scale: 75
 
 
 .. topic:: Examples:
@@ -307,7 +307,7 @@ generalization error of the classifier.
 
 .. figure:: ../auto_examples/svm/images/plot_separating_hyperplane.png
    :align: center
-   :scale: 50
+   :scale: 75
 
 SVC
 ---
-- 
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