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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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Files | |
| score.cpp | |
| Implementation of gum::learning::Score. | |
| score.h | |
| the base class for all the scores used for learning (BIC, BDeu, etc) | |
| score_inl.h | |
| the base class for all the scores used for learning (BIC, BDeu, etc) | |
| scoreAIC.cpp | |
| Implementation of gum::learning::ScoreAIC. | |
| scoreAIC.h | |
| the class for computing AIC scores | |
| scoreAIC_inl.h | |
| the class for computing AIC scores | |
| scoreBD.cpp | |
| Implementation of gum::learning::ScoreBD. | |
| scoreBD.h | |
| the class for computing Bayesian Dirichlet (BD) log2 scores | |
| scoreBD_inl.h | |
| the class for computing BD scores | |
| scoreBDeu.cpp | |
| Implementation of gum::learning::ScoreBDeu. | |
| scoreBDeu.h | |
| the class for computing BDeu scores | |
| scoreBDeu_inl.h | |
| the class for computing BDeu scores | |
| scoreBIC.cpp | |
| Implementation of gum::learning::ScoreBIC. | |
| scoreBIC.h | |
| the class for computing BIC scores | |
| scoreBIC_inl.h | |
| the class for computing BIC scores | |
| scorefNML.cpp | |
| Implementation of gum::learning::ScorefNML. | |
| scorefNML.h | |
| the class for computing fNML scores | |
| scorefNML_inl.h | |
| the class for computing fNML scores | |
| scoreK2.cpp | |
| Implementation of gum::learning::ScoreK2. | |
| scoreK2.h | |
| the class for computing K2 scores (actually their log2 value) | |
| scoreK2_inl.h | |
| the class for computing K2 scores | |
| scoreLog2Likelihood.cpp | |
| Implementation of gum::learning::ScoreLog2Likelihood. | |
| scoreLog2Likelihood.h | |
| the class for computing Log2-likelihood scores | |
| scoreLog2Likelihood_inl.h | |
| the class for computing Log2-Likelihood scores | |
| scoreMDL.cpp | |
| Class to include at least once this header. | |
| scoreMDL.h | |
| the class for computing MDL scores | |