DOC Update tree.rst about lack of support of categorical data
@@ -33,8 +33,9 @@ Some advantages of decision trees are:
- The cost of using the tree (i.e., predicting data) is logarithmic in the
number of data points used to train the tree.
- - Able to handle both numerical and categorical data. Other techniques
- are usually specialised in analysing datasets that have only one type
+ - Able to handle both numerical and categorical data. However scikit-learn
+ implementation does not support categorical variables for now. Other
+ techniques are usually specialised in analysing datasets that have only one type
of variable. See :ref:`algorithms <tree_algorithms>` for more
information.
