aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
gum::UGmodel Class Referenceabstract

Virtual base class for PGMs using a undirected graph. More...

#include <agrum/base/graphicalModels/UGmodel.h>

Inheritance diagram for gum::UGmodel:
Collaboration diagram for gum::UGmodel:

Public Member Functions

bool hasSameStructure (const UGmodel &other)
 check if nodes X and nodes Y are independent given nodes Z
NodeSet family (const NodeId id) const final
 returns the the node as a NodeSet (in mixed graph : family is the node and its parents
NodeSet family (const std::string &name) const final
double log10DomainSize () const
Constructors / Destructors
 UGmodel ()
 Default constructor.
virtual ~UGmodel ()
 Destructor.
 UGmodel (const UGmodel &source)
 Copy constructor.
Variable manipulation methods.
const UndiGraphgraph () const
 Returns a constant reference to the dag of this Bayes Net.
virtual Size size () const final
 Returns the number of variables in this Directed Graphical Model.
Size sizeEdges () const
 Returns the number of arcs in this Directed Graphical Model.
const NodeGraphPartnodes () const final
 Returns a constant reference to the dag of this Bayes Net.
bool exists (NodeId node) const final
 Return true if this node exists in this graphical model.
bool exists (const std::string &name) const final
 Returns a constant reference to the dag of this Bayes Net.
Edge manipulation methods.
const EdgeSetedges () const
 return true if the edge node1-node2 exists in the UGModel
bool existsEdge (const NodeId node1, const NodeId node2) const
 return true if the edge node1-node2 exists in the UGModel
bool existsEdge (const std::string &name1, const std::string &name2) const
 return true if the edge node1-node2 exists in the UGModel
const NodeSetneighbours (const NodeId id) const
 returns the neighbours of a node as set of nodes
const NodeSetneighbours (const std::string &name) const
 return true if the edge node1-node2 exists in the UGModel
bool isIndependent (NodeId X, NodeId Y, const NodeSet &Z) const final
 check if X and Y are independent given Z
bool isIndependent (const NodeSet &X, const NodeSet &Y, const NodeSet &Z) const final
 check if nodes X and nodes Y are independent given nodes Z
bool isIndependent (const std::string &Xname, const std::string &Yname, const std::vector< std::string > &Znames) const
 return true if the edge node1-node2 exists in the UGModel
bool isIndependent (const std::vector< std::string > &Xnames, const std::vector< std::string > &Ynames, const std::vector< std::string > &Znames) const
 return true if the edge node1-node2 exists in the UGModel
Getter and setters
const std::string & property (const std::string &name) const
 Return the value of the property name of this GraphicalModel.
const std::string & propertyWithDefault (const std::string &name, const std::string &byDefault) const
 Return the value of the property name of this GraphicalModel.
void setProperty (const std::string &name, const std::string &value)
 Add or change a property of this GraphicalModel.
std::vector< std::string > properties () const
 List of all the properties.
Variable manipulation methods.
virtual const VariableNodeMapvariableNodeMap () const =0
 Returns a constant reference to the VariableNodeMap of this Graphical Model.
virtual bool empty () const
 Return true if this graphical model is empty.
std::vector< std::string > names (const std::vector< NodeId > &ids) const
 transform a vector of NodeId in a vector of names
std::vector< std::string > names (const NodeSet &ids) const
 transform a NodeSet in a vector of names
std::vector< NodeIdids (const std::vector< std::string > &names) const
 transform a vector of names into a vector of nodeId
NodeSet nodeset (const std::vector< std::string > &names) const
 transform a vector of names into a NodeSet
gum::VariableSet variables (const std::vector< std::string > &l) const
 transform a vector of names into a VariableeSet
gum::VariableSet variables (const NodeSet &ids) const
 transform a vector of NodeId into a VariableeSet
Instantiation completeInstantiation () const
 Get an instantiation over all the variables of the model.
virtual const DiscreteVariablevariable (NodeId id) const =0
 Returns a constant reference over a variable given it's node id.
virtual NodeId nodeId (const DiscreteVariable &var) const =0
 Return id node src discrete var pointer.
virtual NodeId idFromName (const std::string &name) const =0
 Getter by name.
virtual const DiscreteVariablevariableFromName (const std::string &name) const =0
 Getter by name.

Static Public Member Functions

static void spaceCplxToStream (std::stringstream &s, double dSize, int dim, Size usedMem)
 send to the stream the space complexity with 3 parametrs

Protected Member Functions

UGmodeloperator= (const UGmodel &source)
 Private copy operator.

Protected Attributes

UndiGraph graph_
 The DAG of this Directed Graphical Model.

Private Member Functions

const HashTable< std::string, std::string > & _properties_ () const
 Return the properties of this Directed Graphical Model.

Private Attributes

HashTable< std::string, std::string > _propertiesMap_
 The properties of this Directed Graphical Model.

Detailed Description

Virtual base class for PGMs using a undirected graph.

Definition at line 64 of file UGmodel.h.

Constructor & Destructor Documentation

◆ UGmodel() [1/2]

gum::UGmodel::UGmodel ( )

Default constructor.

Definition at line 49 of file UGmodel.cpp.

49 {
50 GUM_CONSTRUCTOR(UGmodel);
51 ;
52 }
UGmodel()
Default constructor.
Definition UGmodel.cpp:49

References UGmodel().

Referenced by gum::IMarkovRandomField< GUM_SCALAR >::IMarkovRandomField(), gum::IMarkovRandomField< GUM_SCALAR >::IMarkovRandomField(), gum::IMarkovRandomField< GUM_SCALAR >::IMarkovRandomField(), UGmodel(), UGmodel(), ~UGmodel(), hasSameStructure(), and operator=().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ ~UGmodel()

gum::UGmodel::~UGmodel ( )
virtual

Destructor.

Definition at line 56 of file UGmodel.cpp.

56 {
57 GUM_DESTRUCTOR(UGmodel);
58 ;
59 }

References UGmodel().

Here is the call graph for this function:

◆ UGmodel() [2/2]

gum::UGmodel::UGmodel ( const UGmodel & source)

Copy constructor.

Do nothing.

Definition at line 54 of file UGmodel.cpp.

54: graph_(from.graph_) { GUM_CONS_CPY(UGmodel); }
UndiGraph graph_
The DAG of this Directed Graphical Model.
Definition UGmodel.h:182

References UGmodel(), and graph_.

Here is the call graph for this function:

Member Function Documentation

◆ _properties_()

INLINE const HashTable< std::string, std::string > & gum::GraphicalModel::_properties_ ( ) const
privateinherited

Return the properties of this Directed Graphical Model.

Definition at line 70 of file graphicalModel_inl.h.

70 {
71 return _propertiesMap_;
72 }
HashTable< std::string, std::string > _propertiesMap_
The properties of this Directed Graphical Model.

References _propertiesMap_.

Referenced by property().

Here is the caller graph for this function:

◆ completeInstantiation()

INLINE Instantiation gum::GraphicalModel::completeInstantiation ( ) const
inherited

Get an instantiation over all the variables of the model.

Definition at line 106 of file graphicalModel_inl.h.

106 {
107 Instantiation I;
108
109 for (const auto node: nodes())
110 I << variable(node);
111
112 return I;
113 }
virtual const DiscreteVariable & variable(NodeId id) const =0
Returns a constant reference over a variable given it's node id.
virtual const NodeGraphPart & nodes() const =0
Returns a constant reference to the VariableNodeMap of this Graphical Model.

References nodes().

Here is the call graph for this function:

◆ edges()

INLINE const EdgeSet & gum::UGmodel::edges ( ) const

return true if the edge node1-node2 exists in the UGModel

Parameters
node1the nodeId (or the name) of the node1
node2the nodeId (or the name) of the node2
Returns
true if the edge exists

Definition at line 65 of file UGmodel_inl.h.

65{ return graph_.edges(); }

References graph_.

Referenced by hasSameStructure().

Here is the caller graph for this function:

◆ empty()

INLINE bool gum::GraphicalModel::empty ( ) const
virtualinherited

Return true if this graphical model is empty.

Definition at line 116 of file graphicalModel_inl.h.

116{ return size() == 0; }
virtual Size size() const =0
Returns the number of variables in this Directed Graphical Model.

References size().

Referenced by gum::IBayesNet< GUM_SCALAR >::check(), and gum::BayesNet< GUM_SCALAR >::clear().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ exists() [1/2]

INLINE bool gum::UGmodel::exists ( const std::string & name) const
finalvirtual

Returns a constant reference to the dag of this Bayes Net.

Implements gum::GraphicalModel.

Definition at line 83 of file UGmodel_inl.h.

83 {
84 try {
85 return exists(idFromName(name));
86 } catch ([[maybe_unused]] gum::NotFound& e) { return false; }
87 }
virtual NodeId idFromName(const std::string &name) const =0
Getter by name.
bool exists(NodeId node) const final
Return true if this node exists in this graphical model.
Definition UGmodel_inl.h:81

References exists(), and gum::GraphicalModel::idFromName().

Here is the call graph for this function:

◆ exists() [2/2]

INLINE bool gum::UGmodel::exists ( NodeId node) const
finalvirtual

Return true if this node exists in this graphical model.

Implements gum::GraphicalModel.

Definition at line 81 of file UGmodel_inl.h.

81{ return graph_.exists(node); }

References graph_.

Referenced by exists().

Here is the caller graph for this function:

◆ existsEdge() [1/2]

INLINE bool gum::UGmodel::existsEdge ( const NodeId node1,
const NodeId node2 ) const

return true if the edge node1-node2 exists in the UGModel

Parameters
node1the nodeId (or the name) of the node1
node2the nodeId (or the name) of the node2
Returns
true if the edge exists

Definition at line 67 of file UGmodel_inl.h.

67 {
68 return graph_.existsEdge(node1, node2);
69 }

References graph_.

Referenced by existsEdge().

Here is the caller graph for this function:

◆ existsEdge() [2/2]

INLINE bool gum::UGmodel::existsEdge ( const std::string & name1,
const std::string & name2 ) const

return true if the edge node1-node2 exists in the UGModel

Parameters
node1the nodeId (or the name) of the node1
node2the nodeId (or the name) of the node2
Returns
true if the edge exists

Definition at line 71 of file UGmodel_inl.h.

71 {
72 return existsEdge(idFromName(name1), idFromName(name2));
73 }
bool existsEdge(const NodeId node1, const NodeId node2) const
return true if the edge node1-node2 exists in the UGModel
Definition UGmodel_inl.h:67

References existsEdge(), and gum::GraphicalModel::idFromName().

Here is the call graph for this function:

◆ family() [1/2]

INLINE NodeSet gum::UGmodel::family ( const NodeId id) const
finalvirtual

returns the the node as a NodeSet (in mixed graph : family is the node and its parents

Parameters
idthe node which is the head of an arc with the returned nodes
namethe name of the node the node which is the head of an arc with the returned nodes

Implements gum::GraphicalModel.

Definition at line 99 of file UGmodel_inl.h.

99 {
100 // family is the set of the note and its parent. So for a completely undirected model, it is
101 // just the node.
102 return gum::NodeSet{id};
103 }
Set< NodeId > NodeSet
Some typdefs and define for shortcuts ...

Referenced by family().

Here is the caller graph for this function:

◆ family() [2/2]

INLINE NodeSet gum::UGmodel::family ( const std::string & name) const
finalvirtual

Implements gum::GraphicalModel.

Definition at line 105 of file UGmodel_inl.h.

105{ return family(idFromName(name)); }
NodeSet family(const NodeId id) const final
returns the the node as a NodeSet (in mixed graph : family is the node and its parents
Definition UGmodel_inl.h:99

References family(), and gum::GraphicalModel::idFromName().

Here is the call graph for this function:

◆ graph()

INLINE const UndiGraph & gum::UGmodel::graph ( ) const

Returns a constant reference to the dag of this Bayes Net.

Definition at line 57 of file UGmodel_inl.h.

57{ return graph_; }

References graph_.

Referenced by gum::MarginalTargetedMRFInference< GUM_SCALAR >::MarginalTargetedMRFInference(), isIndependent(), isIndependent(), size(), and gum::IMarkovRandomField< GUM_SCALAR >::toString().

Here is the caller graph for this function:

◆ hasSameStructure()

bool gum::UGmodel::hasSameStructure ( const UGmodel & other)

check if nodes X and nodes Y are independent given nodes Z

Returns
true if all the named node are the same and all the named arcs are the same

Definition at line 70 of file UGmodel.cpp.

70 {
71 if (this == &other) return true;
72
73 if (size() != other.size()) return false;
74
75 if (sizeEdges() != other.sizeEdges()) return false;
76
77 for (const auto& nid: nodes()) {
78 try {
79 other.idFromName(variable(nid).name());
80 } catch (NotFound const&) { return false; }
81 }
82
83 for (const auto& edge: edges()) {
84 if (!other.edges().exists(Edge(other.idFromName(variable(edge.first()).name()),
85 other.idFromName(variable(edge.second()).name()))))
86 return false;
87 }
88
89 return true;
90 }
const NodeGraphPart & nodes() const final
Returns a constant reference to the dag of this Bayes Net.
Definition UGmodel_inl.h:89
const EdgeSet & edges() const
return true if the edge node1-node2 exists in the UGModel
Definition UGmodel_inl.h:65
Size sizeEdges() const
Returns the number of arcs in this Directed Graphical Model.
Definition UGmodel_inl.h:63
virtual Size size() const final
Returns the number of variables in this Directed Graphical Model.
Definition UGmodel_inl.h:60

References UGmodel(), edges(), gum::Set< Key >::exists(), gum::GraphicalModel::idFromName(), nodes(), size(), sizeEdges(), and gum::GraphicalModel::variable().

Here is the call graph for this function:

◆ idFromName()

◆ ids()

INLINE std::vector< NodeId > gum::GraphicalModel::ids ( const std::vector< std::string > & names) const
inherited

transform a vector of names into a vector of nodeId

Returns
the vector of names

Definition at line 139 of file graphicalModel_inl.h.

139 {
140 std::vector< NodeId > res;
141 const VariableNodeMap& v = variableNodeMap();
142 std::transform(names.cbegin(),
143 names.cend(),
144 std::back_inserter(res),
145 [v](const std::string& n) { return v.idFromName(n); });
146 return res;
147 }
virtual const VariableNodeMap & variableNodeMap() const =0
Returns a constant reference to the VariableNodeMap of this Graphical Model.
std::vector< std::string > names(const std::vector< NodeId > &ids) const
transform a vector of NodeId in a vector of names

References names().

Referenced by gum::DAGmodel::children(), exists(), names(), and gum::DAGmodel::parents().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ isIndependent() [1/4]

INLINE bool gum::UGmodel::isIndependent ( const NodeSet & X,
const NodeSet & Y,
const NodeSet & Z ) const
finalvirtual

check if nodes X and nodes Y are independent given nodes Z

Implements gum::GraphicalModel.

Definition at line 95 of file UGmodel_inl.h.

95 {
96 return !graph().hasUndirectedPath(X, Y, Z);
97 }
bool hasUndirectedPath(NodeId n1, NodeId n2) const
return true if n1 and n2 are connected (by an undirected path) in the graph.
const UndiGraph & graph() const
Returns a constant reference to the dag of this Bayes Net.
Definition UGmodel_inl.h:57

References graph(), and gum::EdgeGraphPart::hasUndirectedPath().

Here is the call graph for this function:

◆ isIndependent() [2/4]

bool gum::UGmodel::isIndependent ( const std::string & Xname,
const std::string & Yname,
const std::vector< std::string > & Znames ) const
inline

return true if the edge node1-node2 exists in the UGModel

Parameters
node1the nodeId (or the name) of the node1
node2the nodeId (or the name) of the node2
Returns
true if the edge exists

Definition at line 144 of file UGmodel.h.

146 {
147 return isIndependent(idFromName(Xname), idFromName(Yname), nodeset(Znames));
148 };
NodeSet nodeset(const std::vector< std::string > &names) const
transform a vector of names into a NodeSet
bool isIndependent(NodeId X, NodeId Y, const NodeSet &Z) const final
check if X and Y are independent given Z
Definition UGmodel_inl.h:91

References gum::GraphicalModel::idFromName(), isIndependent(), and gum::GraphicalModel::nodeset().

Here is the call graph for this function:

◆ isIndependent() [3/4]

bool gum::UGmodel::isIndependent ( const std::vector< std::string > & Xnames,
const std::vector< std::string > & Ynames,
const std::vector< std::string > & Znames ) const
inline

return true if the edge node1-node2 exists in the UGModel

Parameters
node1the nodeId (or the name) of the node1
node2the nodeId (or the name) of the node2
Returns
true if the edge exists

Definition at line 150 of file UGmodel.h.

152 {
153 return isIndependent(nodeset(Xnames), nodeset(Ynames), nodeset(Znames));
154 };

References isIndependent(), and gum::GraphicalModel::nodeset().

Here is the call graph for this function:

◆ isIndependent() [4/4]

INLINE bool gum::UGmodel::isIndependent ( NodeId X,
NodeId Y,
const NodeSet & Z ) const
finalvirtual

check if X and Y are independent given Z

Implements gum::GraphicalModel.

Definition at line 91 of file UGmodel_inl.h.

91 {
92 return !graph().hasUndirectedPath(X, Y, Z);
93 }

References graph(), and gum::EdgeGraphPart::hasUndirectedPath().

Referenced by isIndependent(), and isIndependent().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ log10DomainSize()

INLINE double gum::GraphicalModel::log10DomainSize ( ) const
inherited

Definition at line 95 of file graphicalModel_inl.h.

95 {
96 double dSize = 0.0;
97
98 for (const auto node: nodes()) {
99 dSize += std::log10(variable(node).domainSize());
100 }
101
102 return dSize;
103 }

References nodes().

Referenced by gum::IBayesNet< GUM_SCALAR >::toString(), gum::IMarkovRandomField< GUM_SCALAR >::toString(), and gum::InfluenceDiagram< GUM_SCALAR >::toString().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ names() [1/2]

INLINE std::vector< std::string > gum::GraphicalModel::names ( const NodeSet & ids) const
inherited

transform a NodeSet in a vector of names

Returns
the vector of names

Definition at line 129 of file graphicalModel_inl.h.

129 {
130 const VariableNodeMap& v = variableNodeMap();
131 std::vector< std::string > res;
132 for (auto n: ids) {
133 res.push_back(v.name(n));
134 }
135 return res;
136 }
std::vector< NodeId > ids(const std::vector< std::string > &names) const
transform a vector of names into a vector of nodeId

◆ names() [2/2]

INLINE std::vector< std::string > gum::GraphicalModel::names ( const std::vector< NodeId > & ids) const
inherited

transform a vector of NodeId in a vector of names

Returns
the vector of names

Definition at line 119 of file graphicalModel_inl.h.

119 {
120 std::vector< std::string > res;
121 const VariableNodeMap& v = variableNodeMap();
122 std::transform(ids.cbegin(), ids.cend(), std::back_inserter(res), [v](NodeId n) {
123 return v[n].name();
124 });
125 return res;
126 }
Size NodeId
Type for node ids.

References ids(), and variableNodeMap().

Referenced by gum::DAGmodel::children(), exists(), ids(), nodeset(), and gum::DAGmodel::parents().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ neighbours() [1/2]

INLINE const NodeSet & gum::UGmodel::neighbours ( const NodeId id) const

returns the neighbours of a node as set of nodes

Note that the set of nodes returned may be empty if no edge within the EdgeGraphPart contains the given node.

Parameters
idthe node toward which the edge returned are pointing

Definition at line 75 of file UGmodel_inl.h.

75{ return graph_.neighbours(id); }

References graph_.

Referenced by neighbours(), and gum::IMarkovRandomField< GUM_SCALAR >::toDot().

Here is the caller graph for this function:

◆ neighbours() [2/2]

INLINE const NodeSet & gum::UGmodel::neighbours ( const std::string & name) const

return true if the edge node1-node2 exists in the UGModel

Parameters
node1the nodeId (or the name) of the node1
node2the nodeId (or the name) of the node2
Returns
true if the edge exists

Definition at line 77 of file UGmodel_inl.h.

77 {
78 return neighbours(idFromName(name));
79 }
const NodeSet & neighbours(const NodeId id) const
returns the neighbours of a node as set of nodes
Definition UGmodel_inl.h:75

References gum::GraphicalModel::idFromName(), and neighbours().

Here is the call graph for this function:

◆ nodeId()

◆ nodes()

INLINE const NodeGraphPart & gum::UGmodel::nodes ( ) const
finalvirtual

Returns a constant reference to the dag of this Bayes Net.

Implements gum::GraphicalModel.

Definition at line 89 of file UGmodel_inl.h.

89{ return (NodeGraphPart&)graph_; }

References graph_.

Referenced by hasSameStructure(), gum::IMarkovRandomField< GUM_SCALAR >::maxVarDomainSize(), gum::IMarkovRandomField< GUM_SCALAR >::operator==(), gum::IMarkovRandomField< GUM_SCALAR >::toDot(), and gum::IMarkovRandomField< GUM_SCALAR >::toDotAsFactorGraph().

Here is the caller graph for this function:

◆ nodeset()

NodeSet gum::GraphicalModel::nodeset ( const std::vector< std::string > & names) const
inherited

transform a vector of names into a NodeSet

Returns
NodeSet

Definition at line 60 of file graphicalModel.cpp.

60 {
61 NodeSet res;
62 for (const auto& name: names) {
63 res.insert(idFromName(name));
64 }
65 return res;
66 }

References idFromName(), gum::Set< Key >::insert(), and names().

Referenced by gum::IBayesNet< double >::children(), gum::IBayesNet< double >::children(), gum::DAGmodel::isIndependent(), gum::DAGmodel::isIndependent(), gum::UGmodel::isIndependent(), gum::UGmodel::isIndependent(), gum::DAGmodel::moralizedAncestralGraph(), and gum::DAGmodel::parents().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ operator=()

UGmodel & gum::UGmodel::operator= ( const UGmodel & source)
protected

Private copy operator.

Definition at line 61 of file UGmodel.cpp.

61 {
62 if (this != &source) {
64 graph_ = source.graph_;
65 }
66
67 return *this;
68 }
GraphicalModel & operator=(const GraphicalModel &source)
Private copy operator.

References UGmodel(), graph_, and gum::GraphicalModel::operator=().

Referenced by gum::IMarkovRandomField< GUM_SCALAR >::operator=().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ properties()

INLINE std::vector< std::string > gum::GraphicalModel::properties ( ) const
inherited

List of all the properties.

Definition at line 81 of file graphicalModel_inl.h.

81 {
82 std::vector< std::string > prop;
83 for (const auto& [p, v]: _propertiesMap_)
84 prop.push_back(p);
85 return prop;
86 }

References _propertiesMap_.

◆ property()

INLINE const std::string & gum::GraphicalModel::property ( const std::string & name) const
inherited

Return the value of the property name of this GraphicalModel.

Exceptions
NotFoundRaised if no name property is found.

Definition at line 60 of file graphicalModel_inl.h.

60 {
61 try {
62 return _properties_()[name];
63 } catch (NotFound const&) {
64 std::string msg = "The following property does not exists: ";
65 GUM_ERROR(NotFound, msg + name)
66 }
67 }
const HashTable< std::string, std::string > & _properties_() const
Return the properties of this Directed Graphical Model.
#define GUM_ERROR(type, msg)
Definition exceptions.h:72

References _properties_(), and GUM_ERROR.

Referenced by gum::IMarkovRandomField< GUM_SCALAR >::toDot(), gum::InfluenceDiagram< GUM_SCALAR >::toDot(), and gum::IMarkovRandomField< GUM_SCALAR >::toDotAsFactorGraph().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ propertyWithDefault()

INLINE const std::string & gum::GraphicalModel::propertyWithDefault ( const std::string & name,
const std::string & byDefault ) const
inherited

Return the value of the property name of this GraphicalModel.

return byDefault if the property name is not found

Definition at line 75 of file graphicalModel_inl.h.

76 {
77 return (_propertiesMap_.exists(name)) ? _propertiesMap_[name] : byDefault;
78 }

References _propertiesMap_.

◆ setProperty()

INLINE void gum::GraphicalModel::setProperty ( const std::string & name,
const std::string & value )
inherited

Add or change a property of this GraphicalModel.

Definition at line 89 of file graphicalModel_inl.h.

89 {
90 if (_propertiesMap_.exists(name)) _propertiesMap_[name] = value;
91 else _propertiesMap_.insert(name, value);
92 }

References _propertiesMap_.

Referenced by gum::IBayesNet< GUM_SCALAR >::IBayesNet(), gum::IMarkovRandomField< GUM_SCALAR >::IMarkovRandomField(), and gum::InfluenceDiagram< GUM_SCALAR >::fastPrototype().

Here is the caller graph for this function:

◆ size()

INLINE Size gum::UGmodel::size ( ) const
finalvirtual

Returns the number of variables in this Directed Graphical Model.

Implements gum::GraphicalModel.

Definition at line 60 of file UGmodel_inl.h.

60{ return graph().size(); }
Size size() const
alias for sizeNodes

References graph(), and gum::NodeGraphPart::size().

Referenced by hasSameStructure(), gum::IMarkovRandomField< GUM_SCALAR >::operator==(), gum::IMarkovRandomField< GUM_SCALAR >::toDot(), and gum::IMarkovRandomField< GUM_SCALAR >::toString().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ sizeEdges()

INLINE Size gum::UGmodel::sizeEdges ( ) const

Returns the number of arcs in this Directed Graphical Model.

Definition at line 63 of file UGmodel_inl.h.

63{ return graph_.sizeEdges(); }

References graph_.

Referenced by hasSameStructure(), and gum::IMarkovRandomField< GUM_SCALAR >::operator==().

Here is the caller graph for this function:

◆ spaceCplxToStream()

void gum::GraphicalModel::spaceCplxToStream ( std::stringstream & s,
double dSize,
int dim,
Size usedMem )
staticinherited

send to the stream the space complexity with 3 parametrs

Parameters
sthe stream
dSizethe log10domainSize
dimthe dimension
usedMemthe memory needed for the params

Definition at line 69 of file graphicalModel.cpp.

69 {
70 if (dSize > 6) s << "domainSize: 10^" << dSize;
71 else s << "domainSize: " << std::round(std::pow(10.0, dSize));
72
73 s << ", dim: " << dim << ", mem: ";
74
75 if (const Size go = usedMem / (1024 * 1024 * 1024); go > 0) s << go << "Go ";
76 if (const Size mo = (usedMem / (1024 * 1024)) % 1024; mo > 0) s << mo << "Mo ";
77 if (const Size ko = (usedMem / 1024) % 1024; ko > 0) s << ko << "Ko ";
78 s << usedMem % 1024 << "o";
79 }
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition types.h:74

Referenced by gum::IBayesNet< GUM_SCALAR >::toString().

Here is the caller graph for this function:

◆ variable()

virtual const DiscreteVariable & gum::GraphicalModel::variable ( NodeId id) const
pure virtualinherited

Returns a constant reference over a variable given it's node id.

Exceptions
NotFoundIf no variable's id matches varId.

Implemented in gum::BayesNet< GUM_SCALAR >, gum::BayesNet< double >, gum::BayesNetFragment< GUM_SCALAR >, gum::IBayesNet< GUM_SCALAR >, gum::IBayesNet< double >, gum::IMarkovRandomField< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >, gum::prm::ClassBayesNet< GUM_SCALAR >, and gum::prm::InstanceBayesNet< GUM_SCALAR >.

Referenced by gum::DAGmodel::hasSameStructure(), and gum::UGmodel::hasSameStructure().

Here is the caller graph for this function:

◆ variableFromName()

virtual const DiscreteVariable & gum::GraphicalModel::variableFromName ( const std::string & name) const
pure virtualinherited

◆ variableNodeMap()

virtual const VariableNodeMap & gum::GraphicalModel::variableNodeMap ( ) const
pure virtualinherited

Returns a constant reference to the VariableNodeMap of this Graphical Model.

Implemented in gum::BayesNet< GUM_SCALAR >, gum::BayesNet< double >, gum::BayesNetFragment< GUM_SCALAR >, gum::IBayesNet< GUM_SCALAR >, gum::IBayesNet< double >, gum::IMarkovRandomField< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >, gum::prm::ClassBayesNet< GUM_SCALAR >, and gum::prm::InstanceBayesNet< GUM_SCALAR >.

Referenced by gum::IBayesNet< double >::empty(), names(), variables(), and variables().

Here is the caller graph for this function:

◆ variables() [1/2]

INLINE VariableSet gum::GraphicalModel::variables ( const NodeSet & ids) const
inherited

transform a vector of NodeId into a VariableeSet

Returns
NodeSet

Definition at line 160 of file graphicalModel_inl.h.

160 {
161 VariableSet s;
162 const VariableNodeMap& v = variableNodeMap();
163 for (const auto& node: l) {
164 s.insert(&v.get(node));
165 }
166 return s;
167 }
Set< const DiscreteVariable * > VariableSet

References gum::VariableNodeMap::get(), gum::Set< Key >::insert(), and variableNodeMap().

Here is the call graph for this function:

◆ variables() [2/2]

INLINE VariableSet gum::GraphicalModel::variables ( const std::vector< std::string > & l) const
inherited

transform a vector of names into a VariableeSet

Returns
NodeSet

Definition at line 150 of file graphicalModel_inl.h.

150 {
151 VariableSet s;
152 const VariableNodeMap& v = variableNodeMap();
153 for (const auto& name: l) {
154 s.insert(&v.variableFromName(name));
155 }
156 return s;
157 }

References variableNodeMap().

Here is the call graph for this function:

Member Data Documentation

◆ _propertiesMap_

HashTable< std::string, std::string > gum::GraphicalModel::_propertiesMap_
privateinherited

The properties of this Directed Graphical Model.

Definition at line 236 of file graphicalModel.h.

Referenced by _properties_(), operator=(), properties(), propertyWithDefault(), and setProperty().

◆ graph_


The documentation for this class was generated from the following files: