aGrUM  0.13.2
netWriter.h
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30 #ifndef GUM_NET_WRITER_H
31 #define GUM_NET_WRITER_H
32 
33 #include <fstream>
34 #include <iostream>
35 #include <sstream>
36 #include <string>
37 
38 #include <agrum/BN/io/BNWriter.h>
39 
40 #include <agrum/agrum.h>
41 
42 namespace gum {
43 
56  template < typename GUM_SCALAR >
57  class NetWriter : public BNWriter< GUM_SCALAR > {
58  public:
59  // ==========================================================================
61  // ==========================================================================
63 
67  NetWriter();
68 
72  ~NetWriter() final;
73 
75 
83  void write(std::ostream& output, const IBayesNet< GUM_SCALAR >& bn) final;
84 
93  void write(const std::string& filePath,
94  const IBayesNet< GUM_SCALAR >& bn) final;
95 
96  private:
97  // Returns the header of the BN file.
98  std::string __header(const IBayesNet< GUM_SCALAR >& bn);
99 
100  // Returns a bloc defining a variable in the BN format.
101  std::string __variableBloc(const DiscreteVariable& var);
102 
103  // Returns a bloc defining a variable's CPT in the BN format.
104  std::string __variableCPT(const Potential< GUM_SCALAR >& cpt);
105 
106  // Returns the modalities labels of the variables in varsSeq
107  };
108 
109 
110  extern template class NetWriter< float >;
111  extern template class NetWriter< double >;
112 
113 } /* namespace gum */
114 
116 #endif // GUM_NET_WRITER_H
aGrUM&#39;s Potential is a multi-dimensional array with tensor operators.
Definition: potential.h:57
NetWriter()
Default constructor.
Base class for discrete random variable.
Class representing the minimal interface for Bayesian Network.
Definition: IBayesNet.h:59
gum is the global namespace for all aGrUM entities
Definition: agrum.h:25
Writes a IBayesNet in the BN format.
Definition: netWriter.h:57
std::string __header(const IBayesNet< GUM_SCALAR > &bn)
void write(std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
Writes a Bayesian Network in the output stream using the BN format.
~NetWriter() final
Destructor.
std::string __variableCPT(const Potential< GUM_SCALAR > &cpt)
std::string __variableBloc(const DiscreteVariable &var)
Definition of abstract classes for file output manipulation of Bayesian Networks. ...
Pure virtual class for writting a BN to a file.
Definition: BNWriter.h:54