From 6c42e9d7c76b34e099c99747c43e97d81d0ff485 Mon Sep 17 00:00:00 2001
From: Gael Varoquaux <gael.varoquaux@normalesup.org>
Date: Sun, 6 May 2012 17:56:07 +0200
Subject: [PATCH] DOC: cosmits in docs

---
 doc/modules/cross_validation.rst |  6 +++---
 doc/modules/grid_search.rst      |  6 +++---
 doc/modules/pipeline.rst         | 14 +++++++-------
 3 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/doc/modules/cross_validation.rst b/doc/modules/cross_validation.rst
index 25f261592f..039afabc66 100644
--- a/doc/modules/cross_validation.rst
+++ b/doc/modules/cross_validation.rst
@@ -1,8 +1,8 @@
 .. _cross_validation:
 
-================
-Cross-Validation
-================
+===================================================
+Cross-Validation: evaluating estimator performance
+===================================================
 
 .. currentmodule:: sklearn.cross_validation
 
diff --git a/doc/modules/grid_search.rst b/doc/modules/grid_search.rst
index cb6c4f9c0a..7d14be86cd 100644
--- a/doc/modules/grid_search.rst
+++ b/doc/modules/grid_search.rst
@@ -1,8 +1,8 @@
 .. _grid_search:
 
-===========
-Grid Search
-===========
+==========================================
+Grid Search: setting estimator parameters
+==========================================
 
 .. currentmodule:: sklearn
 
diff --git a/doc/modules/pipeline.rst b/doc/modules/pipeline.rst
index 63e4417b78..5714d75d0e 100644
--- a/doc/modules/pipeline.rst
+++ b/doc/modules/pipeline.rst
@@ -1,8 +1,8 @@
 .. _pipeline:
 
-========
-Pipeline
-========
+==============================
+Pipeline: chaining estimators
+==============================
 
 .. currentmodule:: sklearn.pipeline
 
@@ -11,11 +11,11 @@ into one. This is useful as there is often a fixed sequence
 of steps in processing the data, for example feature selection, normalization
 and classification. :class:`Pipeline` serves two purposes here:
 
-    Convenience: You only have to call ``fit`` and ``predict`` once on your data to
-        fit a whole sequence of estimators.
+    **Convenience**: You only have to call ``fit`` and ``predict`` once on your 
+    data to fit a whole sequence of estimators.
     
-    Joint parameter selection: You can :ref:`grid_search` over parameters of all
-        estimators in the pipeline at once.
+    **Joint parameter selection**: You can :ref:`grid_search <grid search>`
+    over parameters of all estimators in the pipeline at once.
 
 For estimators to be usable within a pipeline, all except the last one need to have
 a ``transform`` function. Otherwise, the dataset can not be passed through this
-- 
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