IBayesNetGenerator.h

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#ifndef GUM_I_BAYES_NET_GENERATOR_H
#define GUM_I_BAYES_NET_GENERATOR_H
 
#include <climits>
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <vector>
 
#include <agrum/agrum.h>
 
#include <agrum/base/variables/labelizedVariable.h>
#include <agrum/BN/algorithms/divergence/BNdistance.h>
#include <agrum/BN/BayesNet.h>
#include <agrum/BN/generator/simpleCPTGenerator.h>
 
namespace gum {

  template < typename GUM_SCALAR, template < typename > class ICPTGenerator >
  class IBayesNetGenerator: public ICPTGenerator< GUM_SCALAR > {
    public:
    // ############################################################################
    // ############################################################################

    IBayesNetGenerator(Size nbrNodes, Size maxArcs, Size maxModality);

 
    virtual ~IBayesNetGenerator();
 
    // ############################################################################
    // ############################################################################

 
    virtual void generateBN(BayesNet< GUM_SCALAR >& bayesNet) = 0;
 
    void fromDAG(BayesNet< GUM_SCALAR >& bayesNet);
 
    void fillCPT(BayesNet< GUM_SCALAR >& bn) const;

    // ===========================================================================
    // ===========================================================================


    Size nbrNodes() const;

    Size maxArcs() const;

    Size maxModality() const;

 
    //      void setcptGenerator(CPTGenerator * cptGenerator);
    void setNbrNodes(Size nbrNodes);

    void setMaxArcs(Size maxArcs);

    void setMaxModality(Size maxModality);

 
    protected:
    // The Conditional Probability Table generator
    //  CPTGenerator * cptGenerator_;
    Size nbrNodes_;
    Size maxArcs_;
    Size maxModality_;
    DAG  dag_;
  };
 
} /* namespace gum */
 
#include <agrum/BN/generator/IBayesNetGenerator_tpl.h>
 
#endif /* GUM_I_BAYES_NET_GENERATOR_H */