gum::DSLWriter< GUM_SCALAR > Class Template Reference

Writes a IBayesNet in the DSL format. More...

#include <agrum/BN/io/DSL/DSLWriter.h>

Inheritance diagram for gum::DSLWriter< GUM_SCALAR >:

Collaboration diagram for gum::DSLWriter< GUM_SCALAR >:

Public Member Functions
void	write (std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
	Writes a Bayesian network in the output stream using the DSL format. More...
void	write (const std::string &filePath, const IBayesNet< GUM_SCALAR > &bn) final
	Writes a Bayesian network in the referenced file using the DSL format. More...
Constructor & destructor
	DSLWriter ()
	Default constructor. More...
	~DSLWriter () final
	Destructor. More...

Detailed Description

template<typename GUM_SCALAR>
class gum::DSLWriter< GUM_SCALAR >

Writes a IBayesNet in the DSL format.

This class servers to write the content of a Bayesian network in the DSL format. See http://www.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/Old/xmlDSL02.html for information on this format.

Definition at line 48 of file DSLWriter.h.

Constructor & Destructor Documentation

DSLWriter()

template<typename GUM_SCALAR >

gum::DSLWriter< GUM_SCALAR >::DSLWriter

(

)

Default constructor.

~DSLWriter()

template<typename GUM_SCALAR >

gum::DSLWriter< GUM_SCALAR >::~DSLWriter ( )

final

Destructor.

Member Function Documentation

_variableBloc_()

template<typename GUM_SCALAR >

std::string gum::DSLWriter< GUM_SCALAR >::_variableBloc_ ( const IBayesNet< GUM_SCALAR > &  bn, const DiscreteVariable &  var  )

private

write() [1/2]

template<typename GUM_SCALAR >

void gum::DSLWriter< GUM_SCALAR >::write ( std::ostream &  output, const IBayesNet< GUM_SCALAR > &  bn  )

finalvirtual

Writes a Bayesian network in the output stream using the DSL format.

Parameters

output	The output stream.
bn	The Bayesian network writen in output.

Exceptions

IOError

Raised if and I/O error occurs.

Implements gum::BNWriter< GUM_SCALAR >.

write() [2/2]

template<typename GUM_SCALAR >

void gum::DSLWriter< GUM_SCALAR >::write ( const std::string &  filePath, const IBayesNet< GUM_SCALAR > &  bn  )

finalvirtual

Writes a Bayesian network in the referenced file using the DSL format.

If the files doesn't exists, it is created.

Parameters

filePath	The path to the file used to write the Bayesian network.
bn	The Bayesian network writed in the file.

Exceptions

IOError

Raised if and I/O error occurs.

Implements gum::BNWriter< GUM_SCALAR >.

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

• agrum/BN/io/DSL/DSLWriter.h