gtsam/cpp/BayesTree-inl.h

142 lines
4.7 KiB
C++

/**
* @file BayesTree.cpp
* @brief Bayes Tree is a tree of cliques of a Bayes Chain
* @author Frank Dellaert
*/
#include <boost/foreach.hpp>
#include "BayesTree.h"
#include "FactorGraph.h"
namespace gtsam {
using namespace std;
/* ************************************************************************* */
template<class Conditional>
BayesTree<Conditional>::Node::Node(const boost::shared_ptr<Conditional>& conditional) {
separator_ = conditional->parents();
this->push_back(conditional);
}
/* ************************************************************************* */
template<class Conditional>
void BayesTree<Conditional>::Node::print(const string& s) const {
cout << s;
BOOST_REVERSE_FOREACH(const conditional_ptr& conditional, this->conditionals_)
cout << " " << conditional->key();
if (!separator_.empty()) {
cout << " :";
BOOST_FOREACH(string key, separator_)
cout << " " << key;
}
cout << endl;
}
/* ************************************************************************* */
template<class Conditional>
void BayesTree<Conditional>::Node::printTree(const string& indent) const {
print(indent);
BOOST_FOREACH(shared_ptr child, children_)
child->printTree(indent+" ");
}
/* ************************************************************************* */
template<class Conditional>
BayesTree<Conditional>::BayesTree() {
}
/* ************************************************************************* */
// TODO: traversal is O(n*log(n)) but could be O(n) with better bayesNet
template<class Conditional>
BayesTree<Conditional>::BayesTree(const BayesNet<Conditional>& bayesNet) {
typename BayesNet<Conditional>::const_reverse_iterator rit;
for ( rit=bayesNet.rbegin(); rit != bayesNet.rend(); ++rit )
insert(*rit);
}
/* ************************************************************************* */
template<class Conditional>
void BayesTree<Conditional>::print(const string& s) const {
cout << s << ": size == " << nodes_.size() << endl;
if (nodes_.empty()) return;
nodes_[0]->printTree("");
}
/* ************************************************************************* */
template<class Conditional>
bool BayesTree<Conditional>::equals(const BayesTree<Conditional>& other,
double tol) const {
return size()==other.size() &&
equal(nodeMap_.begin(),nodeMap_.end(),other.nodeMap_.begin()) &&
equal(nodes_.begin(),nodes_.end(),other.nodes_.begin(),equals_star<Node>(tol));
}
/* ************************************************************************* */
template<class Conditional>
void BayesTree<Conditional>::addClique
(const boost::shared_ptr<Conditional>& conditional, node_ptr parent_clique)
{
node_ptr new_clique(new Node(conditional));
nodeMap_.insert(make_pair(conditional->key(), nodes_.size()));
nodes_.push_back(new_clique);
if (parent_clique==NULL) return;
new_clique->parent_ = parent_clique;
parent_clique->children_.push_back(new_clique);
}
/* ************************************************************************* */
template<class Conditional>
void BayesTree<Conditional>::insert
(const boost::shared_ptr<Conditional>& conditional)
{
// get key and parents
string key = conditional->key();
list<string> parents = conditional->parents();
// if no parents, start a new root clique
if (parents.empty()) {
addClique(conditional);
return;
}
// otherwise, find the parent clique
string parent = parents.front();
NodeMap::const_iterator it = nodeMap_.find(parent);
if (it == nodeMap_.end()) throw(invalid_argument(
"BayesTree::insert('"+key+"'): parent '" + parent + "' not yet inserted"));
int parent_index = it->second;
node_ptr parent_clique = nodes_[parent_index];
// if the parents and parent clique have the same size, add to parent clique
if (parent_clique->size() == parents.size()) {
nodeMap_.insert(make_pair(key, parent_index));
parent_clique->push_front(conditional);
return;
}
// otherwise, start a new clique and add it to the tree
addClique(conditional,parent_clique);
}
/* ************************************************************************* */
template<class Conditional>
boost::shared_ptr<Conditional> BayesTree<Conditional>::marginal(const string& key) const {
// find the clique to which key belongs
NodeMap::const_iterator it = nodeMap_.find(key);
if (it == nodeMap_.end()) throw(invalid_argument(
"BayesTree::marginal('"+key+"'): key not found"));
// find all cliques on the path to the root
// FactorGraph
boost::shared_ptr<Conditional> result(new Conditional);
return result;
}
/* ************************************************************************* */
}
/// namespace gtsam