gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator > Class Template Reference

<agrum/BN/generator/simpleBayesNetGenerator.h> More...

#include <simpleBayesNetGenerator.h>

Inheritance diagram for gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >:

Collaboration diagram for gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >:

Public Member Functions
Constructors / Destructor
	SimpleBayesNetGenerator (Size nbrNodes, Size maxArcs, Size maxModality=2)
	Constructor. More...
	~SimpleBayesNetGenerator () override
	Destructor. More...
BN generation methods
void	generateBN (BayesNet< GUM_SCALAR > &bayesNet) override
	function that generates a Bayesian networks. More...
BN generation methods
void	fillCPT ()
	function that insert random values in the CPT of each nodes according to the CPTGenerator. More...
Getters
Size	nbrNodes () const
	Return a constant reference to the number of nodes imposed on the IBayesNetGenerator. More...
Size	maxArcs () const
	Return a constant reference to the maximum number of arcs imposed on the IBayesNetGenerator. More...
Size	maxModality () const
	Return a constant reference to the maximum modality imposed on the IBayesNetGenerator. More...
Setters
void	setNbrNodes (Size nbrNodes)
	Modifies the value of the number of nodes imposed on the BayesGenerator. More...
void	setMaxArcs (Size maxArcs)
	Modifies the value of the number of nodes imposed on the BayesGenerator. More...
void	setMaxModality (Size maxModality)
	Modifies the value of the number of nodes imposed on the BayesGenerator. More...

Protected Attributes
Size	nbrNodes_
Size	maxArcs_
Size	maxModality_
BayesNet< GUM_SCALAR >	bayesNet_

Detailed Description

template<typename GUM_SCALAR, template< typename > class ICPTGenerator = SimpleCPTGenerator>
class gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >

<agrum/BN/generator/simpleBayesNetGenerator.h>

Class for generating Bayesian networks.

This class randomly generates a Bayesian network given three parameters: the number of nodes and the max number of arcs and the number of maximum modality for each nodes.

Warning

Be Careful when entering the parameters, high Values may cause the density of the Bayesian network to be too high resulting in the failure of most of the inference Methods.

Definition at line 57 of file simpleBayesNetGenerator.h.

Constructor & Destructor Documentation

SimpleBayesNetGenerator()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::SimpleBayesNetGenerator	(	Size	nbrNodes,
		Size	maxArcs,
		Size	maxModality = 2
	)

Constructor.

Use by default the SimpleCPTGenerator for generating the BNs CPT.

Parameters

nbrNodes	The number of nodes imposed on the generator.
maxArcs	The number of maximum arcs imposed on the generator.
maxModality	Each DRV has from 2 to maxModality modalities

Definition at line 41 of file simpleBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                       :
      IBNG(nbrNodes, maxArcs, maxModality) {
    GUM_CONSTRUCTOR(SimpleBayesNetGenerator);
  }

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~SimpleBayesNetGenerator()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::~SimpleBayesNetGenerator ( )

override

Destructor.

Definition at line 63 of file simpleBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                                        {
    GUM_DESTRUCTOR(SimpleBayesNetGenerator);
  }

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Member Function Documentation

fillCPT()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

void gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::fillCPT ( )

inherited

function that insert random values in the CPT of each nodes according to the CPTGenerator.

Returns

null but modify inputed empty Bayesian network

Definition at line 62 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                {
    for (auto node: bayesNet_.nodes())
      this->generateCPT(bayesNet_.cpt(node).pos(bayesNet_.variable(node)), bayesNet_.cpt(node));
  }

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generateBN()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

void gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::generateBN ( BayesNet< GUM_SCALAR > &  bayesNet )

overridevirtual

function that generates a Bayesian networks.

Parameters

bayesNet

Bayesian network to be completed after initialisation

Returns

null but modify inputed Bayesian network

Implements gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >.

Definition at line 73 of file simpleBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                       {
    this->bayesNet_ = bayesNet;
    HashTable< Size, NodeId > map;
    std::stringstream         strBuff;

    for (Size i = 0; this->nbrNodes_ > i; ++i) {
      strBuff << "n" << i;
      Size nb_mod = (this->maxModality_ == 2) ? 2 : 2 + randomValue(this->maxModality_ - 1);
      map.insert(i, this->bayesNet_.add(LabelizedVariable(strBuff.str(), "", nb_mod)));
      strBuff.str("");
    }

    // We add arcs
    float density = (float)(this->maxArcs_ * 2) / (float)(this->nbrNodes_ * (this->nbrNodes_ - 1));

    for (Size i = 0; i < this->nbrNodes_; ++i)
      for (Size j = i + 1; j < this->nbrNodes_; ++j)
        if (randomProba() < density) this->bayesNet_.addArc(map[i], map[j]);

    this->fillCPT();

    bayesNet = this->bayesNet_;
  }

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maxArcs()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE Size gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::maxArcs ( ) const

inherited

Return a constant reference to the maximum number of arcs imposed on the IBayesNetGenerator.

Definition at line 78 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                             {
    return maxArcs_;
  }

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maxModality()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE Size gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::maxModality ( ) const

inherited

Return a constant reference to the maximum modality imposed on the IBayesNetGenerator.

Definition at line 68 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                                 {
    return maxModality_;
  }

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nbrNodes()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE Size gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::nbrNodes ( ) const

inherited

Return a constant reference to the number of nodes imposed on the IBayesNetGenerator.

Definition at line 73 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                              {
    return nbrNodes_;
  }

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setMaxArcs()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE void gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::setMaxArcs ( Size  maxArcs )

inherited

Modifies the value of the number of nodes imposed on the BayesGenerator.

Definition at line 98 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                                      {
    if (maxArcs < nbrNodes_ - 1 || maxArcs > (nbrNodes_ * (nbrNodes_ - 1)) / 2)
      GUM_ERROR(OperationNotAllowed, " maxArcs value not possible ")

    maxArcs_ = maxArcs;
  }

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setMaxModality()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE void gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::setMaxModality ( Size  maxModality )

inherited

Modifies the value of the number of nodes imposed on the BayesGenerator.

Definition at line 83 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                                              {
    if (maxModality < 2)
      GUM_ERROR(OperationNotAllowed, " maxModality must be at least equal to two ")

    maxModality_ = maxModality;
  }

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setNbrNodes()

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

INLINE void gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::setNbrNodes ( Size  nbrNodes )

inherited

Modifies the value of the number of nodes imposed on the BayesGenerator.

Definition at line 90 of file IBayesNetGenerator_tpl.h.

References gum::Set< Key, Alloc >::emplace().

                                                                                        {
    if ((maxArcs_ < nbrNodes - 1) || (maxArcs_ > (nbrNodes * (nbrNodes - 1)) / 2))
      GUM_ERROR(OperationNotAllowed, " nbrNodes value not possible ")

    nbrNodes_ = nbrNodes;
  }

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Member Data Documentation

bayesNet_

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

BayesNet< GUM_SCALAR > gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::bayesNet_

protectedinherited

Definition at line 166 of file IBayesNetGenerator.h.

maxArcs_

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

Size gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::maxArcs_

protectedinherited

Definition at line 164 of file IBayesNetGenerator.h.

maxModality_

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

Size gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::maxModality_

protectedinherited

Definition at line 165 of file IBayesNetGenerator.h.

nbrNodes_

template<typename GUM_SCALAR , template< typename > class ICPTGenerator>

Size gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >::nbrNodes_

protectedinherited

Definition at line 163 of file IBayesNetGenerator.h.

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

• agrum/BN/generator/simpleBayesNetGenerator.h
• agrum/BN/generator/simpleBayesNetGenerator_tpl.h