FIX/DOC format external link correctly

Author: mfeurer

doc/manual.rst

@@ -32,8 +32,8 @@ to use only a single core at a time.
 Furthermore, depending on the installation of scikit-learn and numpy,
 the model building procedure may use up to all cores. Such behaviour is
 unintended by auto-sklearn and is most likely due to numpy being installed
-from `pypi` as a binary wheel (`see here http://scikit-learn-general.narkive
-.com/44ywvAHA/binary-wheel-packages-for-linux-are-coming`_). Executing
+from `pypi` as a binary wheel (`see here <http://scikit-learn-general.narkive
+.com/44ywvAHA/binary-wheel-packages-for-linux-are-coming>`_). Executing
 ``export OPENBLAS_NUM_THREADS=1`` should disable such behaviours and make numpy
 only use a single core at a time.
 
@@ -42,5 +42,5 @@ Model persistence
 
 auto-sklearn is mostly a wrapper around scikit-learn. Therefore, it is
 possible to follow the `persistence example
-http://scikit-learn.org/stable/modules/model_persistence.html#persistence-example`_
+<http://scikit-learn.org/stable/modules/model_persistence.html#persistence-example>`_
 from scikit-learn.