aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
DBRowGeneratorParser_tpl.h
Go to the documentation of this file.
1
20
21#pragma once
22
28
29#include <agrum/base/database/DBRowGeneratorParser.h>
30
31#ifndef DOXYGEN_SHOULD_SKIP_THIS
32
33namespace gum {
34
35 namespace learning {
36
38 template < GUM_Numeric GUM_SCALAR >
39 void DBRowGeneratorParser::setBayesNet (
40 const BayesNet<GUM_SCALAR>& new_bn) {
41 _generator_set_.setBayesNet(new_bn);
42 }
43
44 } /* namespace learning */
45
46} /* namespace gum */
47
48#endif /* DOXYGEN_SHOULD_SKIP_THIS */
DBRowGeneratorParser.h
The class for parsing DatabaseTable rows and generating output rows.
gum::learning::DBRowGeneratorParser::setBayesNet
void setBayesNet(const BayesNet< GUM_SCALAR > &new_bn)
assign a new Bayes net to all the generators that depend on a BN
gum::learning::DBRowGeneratorParser::_generator_set_
DBRowGeneratorSet _generator_set_
the set of DBRow generators (might be empty)
Definition DBRowGeneratorParser.h:256
gum::learning::DBRowGeneratorSet::setBayesNet
void setBayesNet(const BayesNet< GUM_SCALAR > &new_bn)
assign a new Bayes net to all the generators that depend on a BN
gum::learning
include the inlined functions if necessary
Definition CSVParser.h:55
gum
gum is the global namespace for all aGrUM entities
Definition agrum.h:46