aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
barrenNodesFinder_tpl.h
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40#pragma once
41
42namespace gum {
43
45 template < typename GUM_SCALAR >
48 const IBayesNet< GUM_SCALAR >& bn) {
49 // get the barren nodes
50 ArcProperty< NodeSet > barren_nodes = this->barrenNodes(junction_tree);
51
52 // transform the node sets into sets of tensors
54 for (const auto& barren: barren_nodes) {
56 for (const auto node: barren.second) {
57 tensors.insert(&(bn.cpt(node)));
58 }
59 result.insert(Arc(barren.first), std::move(tensors));
60 }
61
62 return result;
63 }
64
65
66} /* namespace gum */
The base class for all directed edges.
ArcProperty< Set< const Tensor< GUM_SCALAR > * > > barrenTensors(const CliqueGraph &junction_tree, const IBayesNet< GUM_SCALAR > &bn)
returns the set of barren tensors in messages sent in a junction tree
NodeSet barrenNodes()
returns the set of barren nodes
Basic graph of cliques.
Definition cliqueGraph.h:77
value_type & insert(const Key &key, const Val &val)
Adds a new element (actually a copy of this element) into the hash table.
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
virtual const Tensor< GUM_SCALAR > & cpt(NodeId varId) const =0
Returns the CPT of a variable.
Representation of a set.
Definition set.h:131
void insert(const Key &k)
Inserts a new element into the set.
Definition set_tpl.h:539
HashTable< Arc, VAL > ArcProperty
Property on graph elements.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46