BNDatabaseGenerator.h File Reference

Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr. More...

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

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

Namespaces
	gum
	Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
	gum::learning

Detailed Description

Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.

This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/.

Author

Santiago CORTIJO and Pierre-Henri WUILLEMIN

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.