BayesNet.h

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#ifndef GUM_BAYES_NET_H
#define GUM_BAYES_NET_H
 
#include <utility>
 
#include <agrum/agrum.h>
 
#include <agrum/BN/IBayesNet.h>
 
namespace gum {
  template < typename GUM_SCALAR >
  class BayesNetFactory;

  template < typename GUM_SCALAR >
  class BayesNet: public IBayesNet< GUM_SCALAR > {
    friend class BayesNetFactory< GUM_SCALAR >;
 
    public:
    static BayesNet< GUM_SCALAR > fastPrototype(const std::string& dotlike, Size domainSize);
    static BayesNet< GUM_SCALAR > fastPrototype(const std::string& dotlike,
                                                const std::string& domainSize = "[2]");
 
    // ===========================================================================
    // ===========================================================================

    BayesNet();

    explicit BayesNet(std::string name);

    virtual ~BayesNet();

    BayesNet(const BayesNet< GUM_SCALAR >& source);

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

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

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

    const Tensor< GUM_SCALAR >& cpt(NodeId varId) const final;

    const Tensor< GUM_SCALAR >& cpt(const std::string& name) const {
      return cpt(idFromName(name));
    };

    const VariableNodeMap& variableNodeMap() const final;

    NodeId add(const DiscreteVariable& var);

    NodeId add(const std::string& fast_description, unsigned int default_nbrmod = 2);

    NodeId add(const DiscreteVariable& var, MultiDimImplementation< GUM_SCALAR >* aContent);

    NodeId add(const DiscreteVariable& var, NodeId id);

    NodeId
        add(const DiscreteVariable& var, MultiDimImplementation< GUM_SCALAR >* aContent, NodeId id);

    void clear();

    void erase(NodeId varId);

    void erase(const std::string& name) { erase(idFromName(name)); };

    void erase(const DiscreteVariable& var);

    const DiscreteVariable& variable(NodeId id) const final;

    const DiscreteVariable& variable(const std::string& name) const {
      return variable(idFromName(name));
    };

    void changeVariableName(NodeId id, const std::string& new_name);

    void changeVariableName(const std::string& name, const std::string& new_name) {
      changeVariableName(idFromName(name), new_name);
    }

    void changeVariableLabel(NodeId id, const std::string& old_label, const std::string& new_label);

    void changeVariableLabel(const std::string& name,
                             const std::string& old_label,
                             const std::string& new_label) {
      changeVariableLabel(idFromName(name), old_label, new_label);
    }

    NodeId nodeId(const DiscreteVariable& var) const final;

    NodeId idFromName(const std::string& name) const final;

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

    void addArc(NodeId tail, NodeId head);

    void addArc(const std::string& tail, const std::string& head);

    void eraseArc(const Arc& arc);

    void eraseArc(NodeId tail, NodeId head);

    void eraseArc(const std::string& tail, const std::string& head) {
      eraseArc(idFromName(tail), idFromName(head));
    }

    void beginTopologyTransformation();
    void endTopologyTransformation();

    void reverseArc(NodeId tail, NodeId head);
 
    void reverseArc(const std::string& tail, const std::string& head) {
      reverseArc(idFromName(tail), idFromName(head));
    }
 
    void reverseArc(const Arc& arc);

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

 
    NodeId addNoisyOR(const DiscreteVariable& var, GUM_SCALAR external_weight);
    NodeId addNoisyORNet(const DiscreteVariable& var, GUM_SCALAR external_weight);
    NodeId addNoisyORCompound(const DiscreteVariable& var, GUM_SCALAR external_weight);

    NodeId addNoisyOR(const DiscreteVariable& var, GUM_SCALAR external_weight, NodeId id);
    NodeId addNoisyORNet(const DiscreteVariable& var, GUM_SCALAR external_weight, NodeId id);
    NodeId addNoisyORCompound(const DiscreteVariable& var, GUM_SCALAR external_weight, NodeId id);

    NodeId addNoisyAND(const DiscreteVariable& var, GUM_SCALAR external_weight, NodeId id);

    NodeId addNoisyAND(const DiscreteVariable& var, GUM_SCALAR external_weight);

    NodeId addLogit(const DiscreteVariable& var, GUM_SCALAR external_weight, NodeId id);

    NodeId addLogit(const DiscreteVariable& var, GUM_SCALAR external_weight);

    NodeId addOR(const DiscreteVariable& var);

    NodeId addAND(const DiscreteVariable& var);

    NodeId addAMPLITUDE(const DiscreteVariable& var);
    NodeId addCOUNT(const DiscreteVariable& var, Idx value = 1);
    NodeId addEXISTS(const DiscreteVariable& var, Idx value = 1);
    NodeId addFORALL(const DiscreteVariable& var, Idx value = 1);
    NodeId addMAX(const DiscreteVariable& var);
    NodeId addMEDIAN(const DiscreteVariable& var);
    NodeId addMIN(const DiscreteVariable& var);
    NodeId addSUM(const DiscreteVariable& var);
    void addWeightedArc(NodeId tail, NodeId head, GUM_SCALAR causalWeight);

    void addWeightedArc(const std::string& tail, const std::string& head, GUM_SCALAR causalWeight) {
      addWeightedArc(idFromName(tail), idFromName(head), causalWeight);
    };


    void generateCPTs() const;

    void generateCPT(NodeId node) const;
 
    void generateCPT(const std::string& name) const { generateCPT(idFromName(name)); };

    void changeTensor(NodeId id, Tensor< GUM_SCALAR >* newPot);
    void changeTensor(const std::string& name, Tensor< GUM_SCALAR >* newPot);

    BayesNet< GUM_SCALAR > contextualize(const gum::Instantiation& observations,
                                         const gum::Instantiation& interventions) const;
 
    private:
    void _clearTensors_();

    void _copyTensors_(const BayesNet< GUM_SCALAR >& source);

    VariableNodeMap _varMap_;

    NodeProperty< Tensor< GUM_SCALAR >* > _probaMap_;

    void _unsafeChangeTensor_(NodeId id, Tensor< GUM_SCALAR >* newPot);
 
    public:
    using IBayesNet< GUM_SCALAR >::dag;
    using IBayesNet< GUM_SCALAR >::size;
    using IBayesNet< GUM_SCALAR >::nodes;
    using IBayesNet< GUM_SCALAR >::log10DomainSize;
  };

  template < typename GUM_SCALAR >
  std::ostream& operator<<(std::ostream& output, const BayesNet< GUM_SCALAR >& bn);
 
 
#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
  extern template class BayesNet< double >;
#endif
} /* namespace gum */
 
#include <agrum/BN/BayesNet_tpl.h>
 
#endif /* GUM_BAYES_NET_H */