22#include <boost/shared_ptr.hpp>
26#include <gtsam/base/ConcurrentMap.h>
34 template<
class FACTOR>
class FactorGraph;
35 template<
class BAYESTREE,
class GRAPH>
class EliminatableClusterTree;
40 double avgConditionalSize;
41 std::size_t maxConditionalSize;
42 double avgSeparatorSize;
43 std::size_t maxSeparatorSize;
44 void print(
const std::string& s =
"")
const ;
49 FastVector<std::size_t> conditionalSizes;
50 FastVector<std::size_t> separatorSizes;
65 template<
class CLIQUE>
70 typedef boost::shared_ptr<This> shared_ptr;
77 typedef typename CLIQUE::ConditionalType ConditionalType;
78 typedef boost::shared_ptr<ConditionalType> sharedConditional;
79 typedef typename CLIQUE::BayesNetType BayesNetType;
80 typedef boost::shared_ptr<BayesNetType> sharedBayesNet;
81 typedef typename CLIQUE::FactorType FactorType;
82 typedef boost::shared_ptr<FactorType> sharedFactor;
83 typedef typename CLIQUE::FactorGraphType FactorGraphType;
84 typedef boost::shared_ptr<FactorGraphType> sharedFactorGraph;
85 typedef typename FactorGraphType::Eliminate Eliminate;
86 typedef typename CLIQUE::EliminationTraitsType EliminationTraitsType;
95 typedef FastVector<sharedClique>
Roots;
123 bool equals(
const This& other,
double tol = 1e-9)
const;
127 void print(
const std::string& s =
"",
128 const KeyFormatter& keyFormatter = DefaultKeyFormatter)
const;
153 typename Nodes::const_iterator c =
nodes_.find(j);
155 throw std::out_of_range(
"Requested the BayesTree clique for a key that is not in the BayesTree");
171 sharedConditional
marginalFactor(
Key j,
const Eliminate& function = EliminationTraitsType::DefaultEliminate)
const;
177 sharedFactorGraph
joint(
Key j1,
Key j2,
const Eliminate& function = EliminationTraitsType::DefaultEliminate)
const;
183 sharedBayesNet
jointBayesNet(
Key j1,
Key j2,
const Eliminate& function = EliminationTraitsType::DefaultEliminate)
const;
200 template<
class CONTAINER>
240 int parentnum = 0)
const;
257 template<
class ARCHIVE>
258 void serialize(ARCHIVE & ar,
const unsigned int ) {
259 ar & BOOST_SERIALIZATION_NVP(
nodes_);
260 ar & BOOST_SERIALIZATION_NVP(
roots_);
268 template<
class CLIQUE>
272 typedef CLIQUE CliqueType;
273 typedef typename CLIQUE::ConditionalType Base;
275 boost::shared_ptr<CliqueType> clique;
282 this->keys_.assign(clique->conditional()->beginParents(), clique->conditional()->endParents());
285 void print(
const std::string& s=
"",
const KeyFormatter& formatter = DefaultKeyFormatter)
const override {
286 clique->print(s +
"stored clique", formatter);
A thin wrapper around std::vector that uses a custom allocator.
A thin wrapper around std::list that uses boost's fast_pool_allocator.
Global functions in a separate testing namespace.
Definition: chartTesting.h:28
FastVector< Key > KeyVector
Define collection type once and for all - also used in wrappers.
Definition: Key.h:86
void print(const Matrix &A, const string &s, ostream &stream)
print without optional string, must specify cout yourself
Definition: Matrix.cpp:155
std::uint64_t Key
Integer nonlinear key type.
Definition: types.h:69
std::function< std::string(Key)> KeyFormatter
Typedef for a function to format a key, i.e. to convert it to a string.
Definition: Key.h:35
Definition: FastList.h:40
A factor graph is a bipartite graph with factor nodes connected to variable nodes.
Definition: FactorGraph.h:93
A cluster-tree that eliminates to a Bayes tree.
Definition: ClusterTree.h:184
clique statistics
Definition: BayesTree.h:39
store all the sizes
Definition: BayesTree.h:48
Definition: BayesTree.h:67
const sharedNode operator[](Key j) const
Access node by variable.
Definition: BayesTree.h:146
Nodes nodes_
Map from indices to Clique.
Definition: BayesTree.h:100
void removeClique(sharedClique clique)
remove a clique: warning, can result in a forest
Definition: BayesTree-inst.h:407
sharedFactorGraph joint(Key j1, Key j2, const Eliminate &function=EliminationTraitsType::DefaultEliminate) const
return joint on two variables Limitation: can only calculate joint if cliques are disjoint or one of ...
Definition: BayesTree-inst.h:276
void fillNodesIndex(const sharedClique &subtree)
Fill the nodes index for a subtree.
Definition: BayesTree-inst.h:229
void addFactorsToGraph(FactorGraph< FactorType > *graph) const
Add all cliques in this BayesTree to the specified factor graph.
Definition: BayesTree-inst.h:151
bool equals(const This &other, double tol=1e-9) const
check equality
Definition: BayesTree-inst.h:213
void saveGraph(const std::string &s, const KeyFormatter &keyFormatter=DefaultKeyFormatter) const
Read only with side effects.
Definition: BayesTree-inst.h:67
This & operator=(const This &other)
Assignment operator.
Definition: BayesTree-inst.h:182
boost::shared_ptr< Clique > sharedClique
Shared pointer to a clique.
Definition: BayesTree.h:74
BayesTree()
Create an empty Bayes Tree.
Definition: BayesTree.h:109
Clique Node
Synonym for Clique (TODO: remove)
Definition: BayesTree.h:75
void clear()
Remove all nodes.
Definition: BayesTree-inst.h:391
Roots roots_
Root cliques.
Definition: BayesTree.h:103
void addClique(const sharedClique &clique, const sharedClique &parent_clique=sharedClique())
add a clique (top down)
Definition: BayesTree-inst.h:125
sharedBayesNet jointBayesNet(Key j1, Key j2, const Eliminate &function=EliminationTraitsType::DefaultEliminate) const
return joint on two variables as a BayesNet Limitation: can only calculate joint if cliques are disjo...
Definition: BayesTree-inst.h:285
sharedClique sharedNode
Synonym for sharedClique (TODO: remove)
Definition: BayesTree.h:76
Key findParentClique(const CONTAINER &parents) const
Find parent clique of a conditional.
Definition: BayesTree-inst.h:221
size_t size() const
number of cliques
Definition: BayesTree-inst.h:116
void deleteCachedShortcuts()
Clear all shortcut caches - use before timing on marginal calculation to avoid residual cache data.
Definition: BayesTree-inst.h:399
void removePath(sharedClique clique, BayesNetType *bn, Cliques *orphans)
Remove path from clique to root and return that path as factors plus a list of orphaned subtree roots...
Definition: BayesTree-inst.h:431
const Nodes & nodes() const
return nodes
Definition: BayesTree.h:143
FastList< sharedClique > Cliques
A convenience class for a list of shared cliques.
Definition: BayesTree.h:89
CLIQUE Clique
The clique type, normally BayesTreeClique.
Definition: BayesTree.h:73
sharedConditional marginalFactor(Key j, const Eliminate &function=EliminationTraitsType::DefaultEliminate) const
Return marginal on any variable.
Definition: BayesTree-inst.h:253
const Roots & roots() const
return root cliques
Definition: BayesTree.h:149
const sharedClique & clique(Key j) const
alternate syntax for matlab: find the clique that contains the variable with Key j
Definition: BayesTree.h:152
ConcurrentMap< Key, sharedClique > Nodes
Map from keys to Clique.
Definition: BayesTree.h:92
friend class boost::serialization::access
Serialization function.
Definition: BayesTree.h:256
size_t numCachedSeparatorMarginals() const
Collect number of cliques with cached separator marginals.
Definition: BayesTree-inst.h:58
BayesTreeCliqueData getCliqueData() const
Gather data on all cliques.
Definition: BayesTree-inst.h:38
Cliques removeSubtree(const sharedClique &subtree)
Remove the requested subtree.
Definition: BayesTree-inst.h:479
bool empty() const
Check if there are any cliques in the tree.
Definition: BayesTree.h:138
void print(const std::string &s="", const KeyFormatter &keyFormatter=DefaultKeyFormatter) const
print
Definition: BayesTree-inst.h:195
void insertRoot(const sharedClique &subtree)
Insert a new subtree with known parent clique.
Definition: BayesTree-inst.h:243
void removeTop(const KeyVector &keys, BayesNetType *bn, Cliques *orphans)
Given a list of indices, turn "contaminated" part of the tree back into a factor graph.
Definition: BayesTree-inst.h:458
FastVector< sharedClique > Roots
Root cliques.
Definition: BayesTree.h:95
Definition: BayesTree.h:270