gum::LoopySamplingInference< GUM_SCALAR, APPROX > Class Template Reference

<agrum/BN/inference/loopySamplingInference.h> More...

#include <loopySamplingInference.h>

Inheritance diagram for gum::LoopySamplingInference< GUM_SCALAR, APPROX >:

Collaboration diagram for gum::LoopySamplingInference< GUM_SCALAR, APPROX >:

Public Member Functions
	LoopySamplingInference (const IBayesNet< GUM_SCALAR > *bn)
	Default constructor. More...
virtual	~LoopySamplingInference ()
	destructor More...
virtual void	_makeInference ()
	makes the inference by generating samples w.r.t the mother class' sampling method after initalizing estimators with loopy belief propagation More...
void	setVirtualLBPSize (GUM_SCALAR vlbpsize)

Protected Attributes
GUM_SCALAR	_virtualLBPSize

Detailed Description

template<typename GUM_SCALAR, template< typename > class APPROX>
class gum::LoopySamplingInference< GUM_SCALAR, APPROX >

<agrum/BN/inference/loopySamplingInference.h>

class for making hybrid sampling inference with loopy belief propagation and an approximation inference method in bayesian networks.

This class inherits of template class APPROX, which SHOULD be one of the 4 approximate inference methods (MonteCarlo, Weighted, Importance, Gibbs). It makes the inference with respect to the inherited class' method, after having initialized the estimators with the posteriors obtained by running LoopyBeliefPropagation algorithm.

Definition at line 59 of file loopySamplingInference.h.

Constructor & Destructor Documentation

LoopySamplingInference()

template<typename GUM_SCALAR , template< typename > class APPROX>

gum::LoopySamplingInference< GUM_SCALAR, APPROX >::LoopySamplingInference ( const IBayesNet< GUM_SCALAR > *  bn )

explicit

Default constructor.

Definition at line 41 of file loopySamplingInference_tpl.h.

                                        :
      APPROX< GUM_SCALAR >(BN),
      _virtualLBPSize(DEFAULT_VIRTUAL_LBP_SIZE) {
    GUM_CONSTRUCTOR(LoopySamplingInference);
  }

~LoopySamplingInference()

template<typename GUM_SCALAR , template< typename > class APPROX>

gum::LoopySamplingInference< GUM_SCALAR, APPROX >::~LoopySamplingInference ( )

virtual

destructor

Definition at line 50 of file loopySamplingInference_tpl.h.

                                                                        {
    GUM_DESTRUCTOR(LoopySamplingInference);
  }

Member Function Documentation

_makeInference()

template<typename GUM_SCALAR , template< typename > class APPROX>

void gum::LoopySamplingInference< GUM_SCALAR, APPROX >::_makeInference ( )

virtual

makes the inference by generating samples w.r.t the mother class' sampling method after initalizing estimators with loopy belief propagation

Definition at line 56 of file loopySamplingInference_tpl.h.

References gum::LoopySamplingInference< GUM_SCALAR, APPROX >::_virtualLBPSize, gum::BayesNetInference< GUM_SCALAR >::addEvidence(), and gum::BayesNetInference< GUM_SCALAR >::makeInference().

                                                                    {
    LoopyBeliefPropagation< GUM_SCALAR > lbp(&this->BN());
    for (const auto x : this->hardEvidence()) {
      lbp.addEvidence(x.first, x.second);
    }
    lbp.makeInference();

    if (!this->isSetEstimator) {
      this->_setEstimatorFromLBP(&lbp, _virtualLBPSize);
    }

    this->_loopApproxInference();
  }

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setVirtualLBPSize()

template<typename GUM_SCALAR , template< typename > class APPROX>

void gum::LoopySamplingInference< GUM_SCALAR, APPROX >::setVirtualLBPSize ( GUM_SCALAR  vlbpsize )

inline

Definition at line 75 of file loopySamplingInference.h.

References gum::LoopySamplingInference< GUM_SCALAR, APPROX >::_virtualLBPSize.

                                                {
      if (vlbpsize > 0) _virtualLBPSize = vlbpsize;
    };

Member Data Documentation

_virtualLBPSize

template<typename GUM_SCALAR , template< typename > class APPROX>

GUM_SCALAR gum::LoopySamplingInference< GUM_SCALAR, APPROX >::_virtualLBPSize

protected

Definition at line 77 of file loopySamplingInference.h.

Referenced by gum::LoopySamplingInference< GUM_SCALAR, APPROX >::_makeInference(), and gum::LoopySamplingInference< GUM_SCALAR, APPROX >::setVirtualLBPSize().

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

• agrum/BN/inference/loopySamplingInference.h
• agrum/BN/inference/loopySamplingInference_tpl.h