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aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
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Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. More...
#include <vector>
#include <limits>
#include <type_traits>
#include <agrum/agrum.h>
#include <agrum/tools/database/DBTranslator.h>
#include <agrum/tools/database/DBTranslator4LabelizedVariable.h>
#include <agrum/tools/database/DBTranslator4DiscretizedVariable.h>
#include <agrum/tools/database/DBTranslator4RangeVariable.h>
#include <agrum/tools/database/DBTranslator4ContinuousVariable.h>
#include <agrum/tools/database/DBTranslatorSet_tpl.h>
Go to the source code of this file.
Classes | |
class | gum::learning::DBTranslatorSet< ALLOC > |
the class for packing together the translators used to preprocess the datasets More... | |
Namespaces | |
gum | |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. | |
gum::learning | |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org.
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/. A class for storing several translators
When learning Bayesian networks, the records of the train dataset are used to construct contingency tables that are either exploited in statistical conditional independence tests or in scores. In both cases, the values observed in the records must be translated into indices in the finite domain of the corresponding random variables. DBTranslator instances are used for this purpose. To make the parsing of all the columns of the dataset easier, all the DBTranslator instances used are gathered into a single DBRowTranslatorSet.
Definition in file DBTranslatorSet.h.