From 87f06b74ea2905d436888c32c571708e4b5788be Mon Sep 17 00:00:00 2001
From: Andreas Mueller <amueller@ais.uni-bonn.de>
Date: Sun, 6 May 2012 23:33:55 +0200
Subject: [PATCH] DOC more minor fixes
---
doc/modules/pipeline.rst | 2 +-
doc/tutorial/statistical_inference/supervised_learning.rst | 1 +
2 files changed, 2 insertions(+), 1 deletion(-)
diff --git a/doc/modules/pipeline.rst b/doc/modules/pipeline.rst
index 97499e641c..908f001dab 100644
--- a/doc/modules/pipeline.rst
+++ b/doc/modules/pipeline.rst
@@ -14,7 +14,7 @@ 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.
- **Joint parameter selection**: You can :ref:`grid_search <grid search>`
+ **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
diff --git a/doc/tutorial/statistical_inference/supervised_learning.rst b/doc/tutorial/statistical_inference/supervised_learning.rst
index 0a65b26278..ca57af93b3 100644
--- a/doc/tutorial/statistical_inference/supervised_learning.rst
+++ b/doc/tutorial/statistical_inference/supervised_learning.rst
@@ -334,6 +334,7 @@ application of Occam's razor: `prefer simpler models`.
-187.19554705 69.38229038 508.66011217 71.84239008]
.. topic:: **Different algorithms for a same problem**
+
Different algorithms can be used to solve the same mathematical
problem. For instance the `Lasso` object in the `scikit-learn`
solves the lasso regression using a
--
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