Generation of database

class pyAgrum.BNDatabaseGenerator(bn: pyAgrum.BayesNet)

BNDatabaseGenerator is used to easily generate databases from a gum.BayesNet.

BNDatabaseGenerator(bn) -> BNDatabaseGenerator

Parameters:

• bn (gum.BayesNet) – the Bayesian network used to generate data.

database(BNDatabaseGenerator self)

drawSamples(BNDatabaseGenerator self, int nbSamples)

log2likelihood(BNDatabaseGenerator self)

setAntiTopologicalVarOrder(BNDatabaseGenerator self)

setRandomVarOrder(BNDatabaseGenerator self)

setTopologicalVarOrder(BNDatabaseGenerator self)

setVarOrder(BNDatabaseGenerator self, vector< int, allocator< int > > varOrder)

setVarOrder(BNDatabaseGenerator self, Vector_string varOrder)

setVarOrderFromCSV(BNDatabaseGenerator self, str csvFileURL, str csvSeparator=", ")

toCSV(BNDatabaseGenerator self, str csvFileURL, bool useLabels=True, bool append=False, str csvSeparator=", ", bool checkOnAppend=False)

toDatabaseTable(BNDatabaseGenerator self, bool useLabels=True)

varOrder(BNDatabaseGenerator self)

varOrderNames(BNDatabaseGenerator self)