DOC: Fixes for latest numpydoc

Author: larsoner

doc/governance.rst

@@ -1,3 +1,4 @@
+:orphan:
 
 .. _governance:
 
@@ -71,12 +72,12 @@ the core developers which will stay open for a week. TC membership votes are
 subject to a two-third majority of all cast votes as well as a simple majority
 approval of all the current TC members. TC members who do not actively engage
 with the TC duties are expected to resign.
- 
+
 The initial Technical Committee of scikit-learn consists of :user:`Alexandre Gramfort <agramfort>`,
 :user:`Olivier Grisel <ogrisel>`, :user:`Andreas Müller <amueller>`, :user:`Joel Nothman <jnothman>`,
 :user:`Hanmin Qin <qinhanmin2014>`, :user:`Gaël Varoquaux <GaelVaroquaux>`, and
 :user:`Roman Yurchak <rth>`.
- 
+
 Decision Making Process
 =======================
 Decisions about the future of the project are made through discussion with all
@@ -110,11 +111,11 @@ are made according to the following rules:
   consensus), happens on the issue of pull-request page.
 
 * **Changes to the API principles and changes to dependencies or supported
-  versions** happen via a :ref:`slep` and follows the decision-making process outlined above. 
+  versions** happen via a :ref:`slep` and follows the decision-making process outlined above.
 
 * **Changes to the governance model** use the same decision process outlined above.
 
- 
+
 If a veto -1 vote is cast on a lazy consensus, the proposer can appeal to the
 community and core developers and the change can be approved or rejected using
 the decision making procedure outlined above.

doc/other_distributions.rst

@@ -1,3 +1,4 @@
+:orphan:
 
 .. _install_by_distribution:
 

doc/roadmap.rst

@@ -1,4 +1,6 @@
-.. _roadmap:
+:orphan:
+
+.. _roadmap:
 
 Roadmap
 =======

sklearn/datasets/svmlight_format.py

@@ -133,7 +133,8 @@ def load_svmlight_file(f, n_features=None, dtype=np.float64,
     See also
     --------
     load_svmlight_files: similar function for loading multiple files in this
-    format, enforcing the same number of features/columns on all of them.
+                         format, enforcing the same number of features/columns
+                         on all of them.
 
     Examples
     --------

sklearn/metrics/pairwise.py

@@ -537,7 +537,7 @@ def cosine_distances(X, Y=None):
     See also
     --------
     sklearn.metrics.pairwise.cosine_similarity
-    scipy.spatial.distance.cosine (dense matrices only)
+    scipy.spatial.distance.cosine : dense matrices only
     """
     # 1.0 - cosine_similarity(X, Y) without copy
     S = cosine_similarity(X, Y)