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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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A pack of learning algorithms that can easily be used. More...
#include <algorithm>#include <iterator>#include <agrum/agrum.h>#include <agrum/base/stattests/indepTestChi2.h>#include <agrum/base/stattests/indepTestG2.h>#include <agrum/base/stattests/pseudoCount.h>#include <agrum/BN/learning/BNLearnUtils/BNLearnerListener.h>#include <agrum/BN/learning/BNLearnUtils/IBNLearner.h>#include <agrum/BN/learning/scores_and_tests/scoreLog2Likelihood.h>Go to the source code of this file.
Namespaces | |
| namespace | gum |
| gum is the global namespace for all aGrUM entities | |
| namespace | gum::learning |
| include the inlined functions if necessary | |
Functions | |
| DatabaseTable | gum::learning::readFile (const std::string &filename) |
A pack of learning algorithms that can easily be used.
The pack currently contains K2, GreedyHillClimbing, miic and LocalSearchWithTabuList
Definition in file IBNLearner.cpp.