DOC Fix broken link to wikipedia in semi-supervised UG
@@ -27,7 +27,7 @@ labeled points and a large amount of unlabeled points.
Semi-supervised algorithms need to make assumptions about the distribution
of the dataset in order to achieve performance gains. See `here
- <https://en.wikipedia.org/wiki/Semi-supervised_learning#Assumptions_used>`_
+ <https://en.wikipedia.org/wiki/Semi-supervised_learning#Assumptions>`_
for more details.
.. _self_training:
