Fixed grammar.

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403344
This commit is contained in:
Davis King 2010-01-02 06:17:29 +00:00
parent d3ecb34d99
commit 13671c964c
1 changed files with 4 additions and 3 deletions

View File

@ -166,17 +166,18 @@ int main()
// First we need to create an undirected graph which contains set objects at each node and
// edge. This long declaration does the trick.
typedef graph<set<unsigned long>::compare_1b_c, set<unsigned long>::compare_1b_c>::kernel_1a_c join_tree_type;
typedef set<unsigned long>::compare_1b_c set_type;
typedef graph<set_type, set_type>::kernel_1a_c join_tree_type;
join_tree_type join_tree;
// Now we need populate the join_tree with data from our bayesian network. The next to
// Now we need to populate the join_tree with data from our bayesian network. The next
// function calls do this. Explaining exactly what they do is outside the scope of this
// example. Just think of them as filling join_tree with information that is useful
// later on for dealing with our bayesian network.
create_moral_graph(bn, join_tree);
create_join_tree(join_tree, join_tree);
// Now we have a proper join_tree we can use it to obtain a solution to our
// Now that we have a proper join_tree we can use it to obtain a solution to our
// bayesian network. Doing this is as simple as declaring an instance of
// the bayesian_network_join_tree object as follows:
bayesian_network_join_tree solution(bn, join_tree);