IBayesNet.h

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#ifndef GUM_SIMPLE_BAYES_NET_H
#define GUM_SIMPLE_BAYES_NET_H
 
#include <utility>
 
#include <agrum/agrum.h>
 
#include <agrum/base/graphicalModels/DAGmodel.h>
#include <agrum/base/multidim/tensor.h>
 
namespace gum {
  template < typename GUM_SCALAR >
  class BayesNetFactory;

  template < typename GUM_SCALAR >
  class IBayesNet: public DAGmodel {
    public:
    // ===========================================================================
    // ===========================================================================

    IBayesNet();
    explicit IBayesNet(std::string name);

    virtual ~IBayesNet();

    IBayesNet(const IBayesNet< GUM_SCALAR >& source);

    IBayesNet< GUM_SCALAR >& operator=(const IBayesNet< GUM_SCALAR >& source);

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

    virtual const Tensor< GUM_SCALAR >& cpt(NodeId varId) const = 0;

    virtual const VariableNodeMap& variableNodeMap() const = 0;

    virtual const DiscreteVariable& variable(NodeId id) const = 0;

    virtual NodeId nodeId(const DiscreteVariable& var) const = 0;

    virtual NodeId idFromName(const std::string& name) const = 0;

    virtual const DiscreteVariable& variableFromName(const std::string& name) const = 0;
 
    // ===========================================================================
    // ===========================================================================

    GUM_SCALAR jointProbability(const Instantiation& i) const;

    GUM_SCALAR log2JointProbability(const Instantiation& i) const;


    std::vector< std::string > check() const;

    bool operator==(const IBayesNet< GUM_SCALAR >& from) const;

    bool operator!=(const IBayesNet< GUM_SCALAR >& from) const;

    Size dim() const;

    Size maxVarDomainSize() const;

    GUM_SCALAR minParam() const;

    GUM_SCALAR maxParam() const;

    GUM_SCALAR minNonZeroParam() const;

    GUM_SCALAR maxNonOneParam() const;

    virtual std::string toDot() const;

    std::string toString() const;

    Tensor< GUM_SCALAR > evEq(const std::string& name, double value) const;

    Tensor< GUM_SCALAR > evIn(const std::string& name, double val1, double val2) const;

    Tensor< GUM_SCALAR > evLt(const std::string& name, double value) const;
 

    Tensor< GUM_SCALAR > evGt(const std::string& name, double value) const;
 

    Size memoryFootprint() const;
  };
 
 
#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
  extern template class IBayesNet< double >;
#endif
 

  template < typename GUM_SCALAR >
  std::ostream& operator<<(std::ostream& output, const IBayesNet< GUM_SCALAR >& bn);
} /* namespace gum */
 
#include <agrum/BN/IBayesNet_tpl.h>
 
#endif /* GUM_SIMPLE_BAYES_NET_H */