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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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This is the complete list of members for gum::learning::Prior, including all inherited members.
| addConditioningPseudoCount(const IdCondSet &idset, std::vector< double > &counts)=0 | gum::learning::Prior | pure virtual |
| addJointPseudoCount(const IdCondSet &idset, std::vector< double > &counts)=0 | gum::learning::Prior | pure virtual |
| clone() const =0 | gum::learning::Prior | pure virtual |
| database_ | gum::learning::Prior | protected |
| getType() const =0 | gum::learning::Prior | pure virtual |
| isInformative() const =0 | gum::learning::Prior | pure virtual |
| nodeId2columns_ | gum::learning::Prior | protected |
| operator=(const Prior &from) | gum::learning::Prior | protected |
| operator=(Prior &&from) | gum::learning::Prior | protected |
| Prior(const DatabaseTable &database, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >()) | gum::learning::Prior | explicit |
| Prior(const Prior &from) | gum::learning::Prior | protected |
| Prior(Prior &&from) | gum::learning::Prior | protected |
| setWeight(double weight) | gum::learning::Prior | virtual |
| weight() const | gum::learning::Prior | |
| weight_ | gum::learning::Prior | protected |
| ~Prior() | gum::learning::Prior | virtual |