gum::DAGmodel Class Reference

Virtual base class for PGMs using a DAG. More...

#include <agrum/graphicalModels/DAGmodel.h>

Inheritance diagram for gum::DAGmodel:

Collaboration diagram for gum::DAGmodel:

Public Member Functions
double	log10DomainSize () const
bool	hasSameStructure (const DAGmodel &other)
Constructors / Destructors
	DAGmodel ()
	Default constructor. More...
virtual	~DAGmodel ()
	Destructor. More...
	DAGmodel (const DAGmodel &source)
	Copy constructor. More...
Getter and setters
const std::string &	property (const std::string &name) const
	Return the value of the property name of this DAGModel. More...
const std::string &	propertyWithDefault (const std::string &name, const std::string &byDefault) const
	Return the value of the property name of this DAGModel. More...
void	setProperty (const std::string &name, const std::string &value)
	Add or change a property of this DAGModel. More...
Variable manipulation methods.
const DAG &	dag () const
	Returns a constant reference to the dag of this Bayes Net. More...
virtual const VariableNodeMap &	variableNodeMap () const =0
	Returns a constant reference to the VariableNodeMap of this Directed Graphical Model. More...
Size	size () const
	Returns the number of variables in this Directed Graphical Model. More...
Size	sizeArcs () const
	Returns the number of arcs in this Directed Graphical Model. More...
bool	empty () const
	Retursn true if this Directed Graphical Model is empty. More...
const NodeGraphPart &	nodes () const
	Returns a constant reference to the dag of this Bayes Net. More...
virtual const DiscreteVariable &	variable (NodeId id) const =0
	Returns a constant reference over a variabe given it's node id. More...
virtual NodeId	nodeId (const DiscreteVariable &var) const =0
	Return id node src discrete var pointer. More...
virtual NodeId	idFromName (const std::string &name) const =0
	Getter by name. More...
virtual const DiscreteVariable &	variableFromName (const std::string &name) const =0
	Getter by name. More...
virtual Instantiation	completeInstantiation () const final
	Get an instantiation over all the variables of the model. More...
Arc manipulation methods.
const ArcSet &	arcs () const
	returns the set of nodes with arc ingoing to a given node More...
const NodeSet &	parents (const NodeId id) const
	returns the set of nodes with arc ingoing to a given node More...
const NodeSet &	parents (const std::string &name) const
	returns the set of nodes with arc ingoing to a given node More...
const NodeSet &	children (const NodeId id) const
	returns the set of nodes with arc outgoing from a given node More...
const NodeSet &	children (const std::string &name) const
	returns the set of nodes with arc ingoing to a given node More...
Graphical methods
const UndiGraph &	moralGraph (bool clear=true) const
	The node's id are coherent with the variables and nodes of the topology. More...
const Sequence< NodeId > &	topologicalOrder (bool clear=true) const
	The topological order stays the same as long as no variable or arcs are added or erased src the topology. More...

Protected Attributes
DAG	_dag
	The DAG of this Directed Graphical Model. More...

Protected Member Functions
DAGmodel &	operator= (const DAGmodel &source)
	Private copy operator. More...

Detailed Description

Virtual base class for PGMs using a DAG.

Definition at line 48 of file DAGmodel.h.

Constructor & Destructor Documentation

DAGmodel() [1/2]

gum::DAGmodel::DAGmodel

(

)

Default constructor.

Definition at line 30 of file DAGmodel.cpp.

                     : __mutableMoralGraph(nullptr), __propertiesMap(nullptr) {
    GUM_CONSTRUCTOR(DAGmodel);
  }

~DAGmodel()

gum::DAGmodel::~DAGmodel ( )

virtual

Destructor.

Definition at line 44 of file DAGmodel.cpp.

References __mutableMoralGraph, and __propertiesMap.

                      {
    GUM_DESTRUCTOR(DAGmodel);
    // Removing previous properties

    if (__propertiesMap) { delete __propertiesMap; }

    if (__mutableMoralGraph) { delete __mutableMoralGraph; }
  }

DAGmodel() [2/2]

gum::DAGmodel::DAGmodel

(

const DAGmodel &

source

)

Copy constructor.

Do nothing.

Definition at line 34 of file DAGmodel.cpp.

References __propertiesMap.

                                         :
      _dag(from._dag), __mutableMoralGraph(nullptr), __propertiesMap(nullptr) {
    GUM_CONS_CPY(DAGmodel);

    if (from.__propertiesMap) {
      __propertiesMap =
         new HashTable< std::string, std::string >(*(from.__propertiesMap));
    }
  }

Member Function Documentation

__moralGraph()

void gum::DAGmodel::__moralGraph ( ) const

private

Returns the moral graph of this DAGModel.

Warning

__mutableMoralGraph is assumed to be valid and empty

Definition at line 53 of file DAGmodel.cpp.

References __mutableMoralGraph, gum::UndiGraph::addEdge(), arcs(), dag(), nodes(), parents(), and gum::NodeGraphPart::populateNodes().

Referenced by moralGraph().

                                    {
    // @todo : this is a copy of DAG::moralGraph ... we should do better
    __mutableMoralGraph->populateNodes(dag());
    // transform the arcs into edges

    for (const auto arc : arcs())
      __mutableMoralGraph->addEdge(arc.first(), arc.second());

    //}

    // marry the parents
    for (const auto node : nodes()) {
      const auto& par = parents(node);

      for (auto it1 = par.begin(); it1 != par.end(); ++it1) {
        auto it2 = it1;

        for (++it2; it2 != par.end(); ++it2) {
          // will automatically check if this edge already exists
          __mutableMoralGraph->addEdge(*it1, *it2);
        }
      }
    }
  }

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__properties()

INLINE HashTable< std::string, std::string > & gum::DAGmodel::__properties ( ) const

private

Return the properties of this Directed Graphical Model and initialize the hash table is necessary.

Definition at line 66 of file DAGmodel_inl.h.

References __propertiesMap.

Referenced by property(), propertyWithDefault(), and setProperty().

                                                                  {
    if (__propertiesMap == nullptr) {
      __propertiesMap = new HashTable< std::string, std::string >();
    }

    return *__propertiesMap;
  }

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arcs()

INLINE const ArcSet & gum::DAGmodel::arcs

(

)

const

returns the set of nodes with arc ingoing to a given node

Note that the set of arcs returned may be empty if no arc within the ArcGraphPart is ingoing into the given node.

Parameters

id	the node toward which the arcs returned are pointing

Definition at line 104 of file DAGmodel_inl.h.

References _dag, and gum::ArcGraphPart::arcs().

Referenced by gum::EssentialGraph::__buildEssentialGraph(), __moralGraph(), gum::MarkovBlanket::hasSameStructure(), and hasSameStructure().

{ return _dag.arcs(); }

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children() [1/2]

INLINE const NodeSet & gum::DAGmodel::children

(

const NodeId

id

)

const

returns the set of nodes with arc outgoing from a given node

Note that the set of arcs returned may be empty if no arc within the ArcGraphPart is outgoing from the given node.

Parameters

id	the node which is the tail of the arcs returned

Definition at line 111 of file DAGmodel_inl.h.

References _dag, and gum::ArcGraphPart::children().

Referenced by gum::MarkovBlanket::__buildMarkovBlanket(), parents(), gum::prm::InstanceBayesNet< GUM_SCALAR >::toDot(), and gum::prm::ClassBayesNet< GUM_SCALAR >::toDot().

                                                                {
    return _dag.children(id);
  }

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children() [2/2]

const NodeSet& gum::DAGmodel::children ( const std::string &  name ) const

inline

returns the set of nodes with arc ingoing to a given node

Note that the set of arcs returned may be empty if no arc within the ArcGraphPart is ingoing into the given node.

Parameters

id	the node toward which the arcs returned are pointing

Definition at line 165 of file DAGmodel.h.

References hasSameStructure(), idFromName(), log10DomainSize(), moralGraph(), operator=(), parents(), and topologicalOrder().

                                                         {
      return parents(idFromName(name));
    };

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completeInstantiation()

INLINE Instantiation gum::DAGmodel::completeInstantiation ( ) const

finalvirtual

Get an instantiation over all the variables of the model.

Definition at line 86 of file DAGmodel_inl.h.

References dag(), and variable().

                                                      {
    Instantiation I;

    for (const auto node : dag())
      I << variable(node);

    return I;
  }

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dag()

INLINE const DAG & gum::DAGmodel::dag

(

)

const

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

Definition at line 63 of file DAGmodel_inl.h.

References _dag.

Referenced by __moralGraph(), completeInstantiation(), gum::learning::DAG2BNLearner< ALLOC >::createBN(), gum::learning::genericBNLearner::Database::Database(), gum::BayesNetFragment< GUM_SCALAR >::installCPT(), gum::BayesNetFragment< GUM_SCALAR >::isInstalledNode(), gum::MarginalTargetedInference< GUM_SCALAR >::MarginalTargetedInference(), gum::BayesBall::relevantPotentials(), gum::dSeparation::relevantPotentials(), size(), gum::BayesNetFragment< GUM_SCALAR >::toDot(), topologicalOrder(), gum::InfluenceDiagram< GUM_SCALAR >::toString(), and gum::BayesNetFragment< GUM_SCALAR >::whenArcDeleted().

{ return _dag; }

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empty()

INLINE bool gum::DAGmodel::empty

(

)

const

Retursn true if this Directed Graphical Model is empty.

Definition at line 99 of file DAGmodel_inl.h.

References size().

{ return size() == 0; }

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hasSameStructure()

bool gum::DAGmodel::hasSameStructure

(

const DAGmodel &

other

)

Returns

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

Definition at line 121 of file DAGmodel.cpp.

References arcs(), gum::Set< Key, Alloc >::exists(), idFromName(), nodes(), size(), sizeArcs(), and variable().

Referenced by children().

                                                       {
    if (this == &other) return true;

    if (size() != other.size()) return false;

    if (sizeArcs() != other.sizeArcs()) return false;

    for (const auto& nid : nodes()) {
      try {
        other.idFromName(variable(nid).name());
      } catch (NotFound) { return false; }
    }

    for (const auto& arc : arcs()) {
      if (!other.arcs().exists(Arc(other.idFromName(variable(arc.tail()).name()),
                                   other.idFromName(variable(arc.head()).name()))))
        return false;
    }

    return true;
  }

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idFromName()

virtual NodeId gum::DAGmodel::idFromName ( const std::string &  name ) const

pure virtual

Getter by name.

Exceptions

NotFound

if no such name exists in the graph.

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

Referenced by children(), gum::MarkovBlanket::hasSameStructure(), hasSameStructure(), and parents().

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log10DomainSize()

INLINE double gum::DAGmodel::log10DomainSize

(

)

const

Returns

Returns the log10 domain size of the joint probabilty for the Directed Graphical Model

Definition at line 75 of file DAGmodel_inl.h.

References nodes(), and variable().

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

                                         {
    double dSize = 0.0;

    for (const auto node : nodes()) {
      dSize += std::log10(variable(node).domainSize());
    }

    return dSize;
  }

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moralGraph()

const UndiGraph & gum::DAGmodel::moralGraph

(

bool

clear = true

)

const

The node's id are coherent with the variables and nodes of the topology.

Parameters

clear

If false returns the previously created moral graph.

Definition at line 101 of file DAGmodel.cpp.

References __moralGraph(), __mutableMoralGraph, and gum::UndiGraph::clear().

Referenced by gum::prm::SVED< GUM_SCALAR >::__eliminateNodes(), gum::prm::SVE< GUM_SCALAR >::__eliminateNodes(), gum::prm::SVED< GUM_SCALAR >::__eliminateNodesWithEvidence(), gum::prm::SVE< GUM_SCALAR >::__eliminateNodesWithEvidence(), gum::prm::SVED< GUM_SCALAR >::__initLiftedNodes(), gum::prm::SVE< GUM_SCALAR >::__initLiftedNodes(), and children().

                                                        {
    if (clear
        || (__mutableMoralGraph == nullptr)) {   // we have to call _moralGraph
      if (__mutableMoralGraph == nullptr) {
        __mutableMoralGraph = new UndiGraph();
      } else {
        // clear is True ,__mutableMoralGraph exists
        __mutableMoralGraph->clear();
      }

      __moralGraph();
    }

    return *__mutableMoralGraph;
  }

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nodeId()

virtual NodeId gum::DAGmodel::nodeId ( const DiscreteVariable &  var ) const

pure virtual

Return id node src discrete var pointer.

Exceptions

NotFound

If no variable matches var.

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

nodes()

INLINE const NodeGraphPart & gum::DAGmodel::nodes

(

)

const

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

Definition at line 115 of file DAGmodel_inl.h.

References _dag.

Referenced by gum::credal::CredalNet< GUM_SCALAR >::__bnCopy(), gum::EssentialGraph::__buildEssentialGraph(), gum::MarkovBlanket::__buildMarkovBlanket(), __moralGraph(), gum::credal::CredalNet< GUM_SCALAR >::__sort_varType(), gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine >::__verticesSampling(), gum::ImportanceSampling< GUM_SCALAR >::_unsharpenBN(), gum::BayesNetFactory< GUM_SCALAR >::BayesNetFactory(), gum::BayesNetFragment< GUM_SCALAR >::checkConsistency(), gum::learning::DAG2BNLearner< ALLOC >::createBN(), gum::MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >::disturbBN(), gum::Estimator< GUM_SCALAR >::Estimator(), gum::getMaxModality(), hasSameStructure(), log10DomainSize(), gum::prm::InstanceBayesNet< GUM_SCALAR >::modalities(), gum::prm::ClassBayesNet< GUM_SCALAR >::modalities(), gum::Estimator< GUM_SCALAR >::setFromBN(), gum::prm::InstanceBayesNet< GUM_SCALAR >::toDot(), gum::prm::ClassBayesNet< GUM_SCALAR >::toDot(), gum::credal::CredalNet< GUM_SCALAR >::toString(), and gum::BayesNetFragment< GUM_SCALAR >::~BayesNetFragment().

                                                    {
    return (NodeGraphPart&)_dag;
  }

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operator=()

DAGmodel & gum::DAGmodel::operator= ( const DAGmodel &  source )

protected

Private copy operator.

Definition at line 78 of file DAGmodel.cpp.

References __mutableMoralGraph, __propertiesMap, and _dag.

Referenced by children(), and gum::InfluenceDiagram< GUM_SCALAR >::operator=().

                                                      {
    if (this != &source) {
      if (__propertiesMap) {
        delete __propertiesMap;
        __propertiesMap = nullptr;
      }

      if (__mutableMoralGraph) {
        delete __mutableMoralGraph;
        __mutableMoralGraph = nullptr;
      }

      if (source.__propertiesMap != 0) {
        __propertiesMap =
           new HashTable< std::string, std::string >(*(source.__propertiesMap));
      }

      _dag = source._dag;
    }

    return *this;
  }

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parents() [1/2]

INLINE const NodeSet & gum::DAGmodel::parents

(

const NodeId

id

)

const

returns the set of nodes with arc ingoing to a given node

Note that the set of arcs returned may be empty if no arc within the ArcGraphPart is ingoing into the given node.

Parameters

id	the node toward which the arcs returned are pointing

Definition at line 106 of file DAGmodel_inl.h.

References _dag, and gum::ArcGraphPart::parents().

Referenced by gum::MarkovBlanket::__buildMarkovBlanket(), __moralGraph(), gum::BayesNetFragment< GUM_SCALAR >::_installCPT(), gum::BayesNetFragment< GUM_SCALAR >::checkConsistency(), children(), gum::BayesNetFragment< GUM_SCALAR >::installCPT(), parents(), gum::prm::InstanceBayesNet< GUM_SCALAR >::toDot(), and gum::prm::ClassBayesNet< GUM_SCALAR >::toDot().

                                                               {
    return _dag.parents(id);
  }

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parents() [2/2]

const NodeSet& gum::DAGmodel::parents ( const std::string &  name ) const

inline

returns the set of nodes with arc ingoing to a given node

Note that the set of arcs returned may be empty if no arc within the ArcGraphPart is ingoing into the given node.

Parameters

id	the node toward which the arcs returned are pointing

Definition at line 156 of file DAGmodel.h.

References children(), idFromName(), and parents().

                                                        {
      return parents(idFromName(name));
    };

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property()

INLINE const std::string & gum::DAGmodel::property

(

const std::string &

name

)

const

Return the value of the property name of this DAGModel.

Exceptions

NotFound

Raised if no name property is found.

Definition at line 37 of file DAGmodel_inl.h.

References __properties(), and GUM_ERROR.

Referenced by gum::InfluenceDiagram< GUM_SCALAR >::toDot().

                                                                 {
    try {
      return __properties()[name];
    } catch (NotFound&) {
      std::string msg = "The following property does not exists: ";
      GUM_ERROR(NotFound, msg + name);
    }
  }

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propertyWithDefault()

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

Return the value of the property name of this DAGModel.

return byDefault if the property name is not found

Definition at line 48 of file DAGmodel_inl.h.

References __properties().

                                                                     {
    try {
      return __properties()[name];
    } catch (NotFound&) { return byDefault; }
  }

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setProperty()

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

Add or change a property of this DAGModel.

Definition at line 56 of file DAGmodel_inl.h.

References __properties(), and gum::HashTable< Key, Val, Alloc >::insert().

Referenced by gum::BayesNet< double >::fastPrototype().

                                                                          {
    try {
      __properties()[name] = value;
    } catch (NotFound&) { __properties().insert(name, value); }
  }

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size()

INLINE Size gum::DAGmodel::size

(

)

const

Returns the number of variables in this Directed Graphical Model.

Definition at line 96 of file DAGmodel_inl.h.

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

Referenced by gum::credal::CredalNet< GUM_SCALAR >::__initCNNets(), gum::InfluenceDiagram< GUM_SCALAR >::decisionNodeSize(), empty(), gum::MarkovBlanket::hasSameStructure(), hasSameStructure(), gum::IBayesNet< double >::operator==(), gum::prm::InstanceBayesNet< GUM_SCALAR >::toDot(), and gum::prm::ClassBayesNet< GUM_SCALAR >::toDot().

{ return dag().size(); }

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sizeArcs()

INLINE Size gum::DAGmodel::sizeArcs

(

)

const

Returns the number of arcs in this Directed Graphical Model.

Definition at line 102 of file DAGmodel_inl.h.

References _dag, and gum::ArcGraphPart::sizeArcs().

Referenced by gum::MarkovBlanket::hasSameStructure(), hasSameStructure(), and gum::IBayesNet< double >::operator==().

{ return _dag.sizeArcs(); }

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topologicalOrder()

const Sequence< NodeId > & gum::DAGmodel::topologicalOrder

(

bool

clear = true

)

const

The topological order stays the same as long as no variable or arcs are added or erased src the topology.

Parameters

clear

If false returns the previously created topology.

Definition at line 117 of file DAGmodel.cpp.

References dag(), and gum::DiGraph::topologicalOrder().

Referenced by gum::EssentialGraph::__buildEssentialGraph(), gum::InfluenceDiagramGenerator< GUM_SCALAR >::__checkTemporalOrder(), children(), gum::InfluenceDiagram< GUM_SCALAR >::decisionOrderExists(), and gum::InfluenceDiagram< GUM_SCALAR >::getDecisionOrder().

                                                                       {
    return this->dag().topologicalOrder(clear);
  }

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variable()

virtual const DiscreteVariable& gum::DAGmodel::variable ( NodeId  id ) const

pure virtual

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

Exceptions

NotFound

If no variable's id matches varId.

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

Referenced by completeInstantiation(), gum::MarkovBlanket::hasSameStructure(), hasSameStructure(), log10DomainSize(), gum::MarkovBlanket::toDot(), and gum::EssentialGraph::toDot().

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variableFromName()

virtual const DiscreteVariable& gum::DAGmodel::variableFromName ( const std::string &  name ) const

pure virtual

Getter by name.

Exceptions

NotFound

if no such name exists in the graph.

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

variableNodeMap()

virtual const VariableNodeMap& gum::DAGmodel::variableNodeMap ( ) const

pure virtual

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

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

Member Data Documentation

__mutableMoralGraph

UndiGraph* gum::DAGmodel::__mutableMoralGraph

mutableprivate

The moral graph of this Directed Graphical Model.

Definition at line 211 of file DAGmodel.h.

Referenced by __moralGraph(), moralGraph(), operator=(), and ~DAGmodel().

__propertiesMap

HashTable< std::string, std::string >* gum::DAGmodel::__propertiesMap

mutableprivate

The properties of this Directed Graphical Model. Initialized using a lazy instantiation.

Definition at line 215 of file DAGmodel.h.

Referenced by __properties(), DAGmodel(), operator=(), and ~DAGmodel().

_dag

DAG gum::DAGmodel::_dag

protected

The DAG of this Directed Graphical Model.

Definition at line 203 of file DAGmodel.h.

Referenced by gum::prm::ClassBayesNet< GUM_SCALAR >::__get(), gum::InfluenceDiagram< GUM_SCALAR >::_addNode(), gum::InfluenceDiagram< GUM_SCALAR >::_copyTables(), gum::InfluenceDiagram< GUM_SCALAR >::_getChildrenDecision(), gum::BayesNetFragment< GUM_SCALAR >::_installArc(), gum::InfluenceDiagram< GUM_SCALAR >::_moralGraph(), gum::InfluenceDiagram< GUM_SCALAR >::_removeTables(), gum::BayesNetFragment< GUM_SCALAR >::_uninstallArc(), gum::InfluenceDiagram< GUM_SCALAR >::addArc(), arcs(), children(), dag(), gum::InfluenceDiagram< GUM_SCALAR >::erase(), gum::InfluenceDiagram< GUM_SCALAR >::eraseArc(), gum::InfluenceDiagram< GUM_SCALAR >::existsPathBetween(), gum::InfluenceDiagram< GUM_SCALAR >::getDecisionGraph(), gum::InfluenceDiagram< GUM_SCALAR >::getPartialTemporalOrder(), gum::BayesNetFragment< GUM_SCALAR >::installNode(), nodes(), operator=(), parents(), sizeArcs(), gum::InfluenceDiagram< GUM_SCALAR >::toDot(), and gum::BayesNetFragment< GUM_SCALAR >::uninstallNode().

---

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

• agrum/graphicalModels/DAGmodel.h
• agrum/graphicalModels/DAGmodel.cpp
• agrum/graphicalModels/DAGmodel_inl.h