BNDatabaseGenerator.h File Reference

#include <filesystem>
#include <fstream>
#include <agrum/base/core/progressNotification.h>
#include <agrum/base/database/databaseTable.h>
#include <agrum/BN/BayesNet.h>
#include <string_view>
#include <agrum/BN/database/BNDatabaseGenerator_tpl.h>

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Classes
class	gum::learning::BNDatabaseGenerator< GUM_SCALAR >

Namespaces
namespace	gum
	gum is the global namespace for all aGrUM entities
namespace	gum::learning
	include the inlined functions if necessary

Detailed Description

Author

Santiago CORTIJO and Pierre-Henri WUILLEMIN(_at_LIP6)

Constructor

gum::learning::BNDatabaseGenerator< float > dbgen(bn);

(being "bn" a BayesNet<GUM_SCALAR>)

CSV Generation:

std::string                        csvFileName="foo.csv"
gum::Size                          nbSamples = 100;
bool                               useLabels = false;
bool                               append = false;
std::string                        csvSeparator(",");
gum::learning::BNDatabaseGenerator< float > dbgen(bn);
dbgen.drawSamples(nbSamples);
dbgen.setRandomVarOrder();
dbgen.toCSV(csvFileName, useLabels, append, csvSeparator);

CSV append:

std::string                        csvFileName="foo.csv"
gum::Size                          nbSamples = 100;
bool                               useLabels = false;
bool                               append = true;
std::string                        csvSeparator(":::");
bool                               checkOnAppend = true;
dbgen.drawSamples(nbSamples);
dbgen.setVarOrderFromCSV(csv_file, csvSeparator);
dbgen.toCSV(csv_file, useLabels, append, csvSeparator, checkOnAppend);

DatabaseVectInRam mdoe:

gum::learning::DatabaseVectInRAM database =
    dbgen.toDatabaseVectInRAM(useLabels);

Definition in file BNDatabaseGenerator.h.