Here is a list of all variables with links to the classes they belong to:

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z

_

- p -

• p : gum::prm::o3prmr::SingleResult
• p_ : gum::BNdistance< GUM_SCALAR >, gum::MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >
• pair : gum::HashTableBucket< Key, Val >
• paramEstimatorType_ : gum::learning::IBNLearner
• params_ : gum::MultiDimSparse< GUM_ELEMENT >
• parent : gum::IndexedTree< Key, Data >
• parent_ : gum::BinSearchTreeIterator< Val, Cmp, Node >, gum::BinTreeNode< Val >
• parent_dir_ : gum::BinTreeNode< Val >
• parentId : gum::Parent
• parentOf : gum::KTBNInference< GUM_SCALAR >::_Window_
• parents : gum::learning::KTBNDatabaseGenerator< GUM_SCALAR >::NodeRef
• partial_order : gum::prm::StructuredInference< GUM_SCALAR >::CData, gum::prm::StructuredInference< GUM_SCALAR >::RGData
• partial_order_needed_ : gum::PartialOrderedEliminationSequenceStrategy
• pattern : gum::prm::gspan::DFSTree< GUM_SCALAR >::PatternData, gum::prm::StructuredInference< GUM_SCALAR >::PData
• pattern_time : gum::prm::StructuredInference< GUM_SCALAR >
• pause_ : gum::Timer
• pere : gum::SplayBinaryNode< Element >
• period_size_ : gum::ApproximationScheme
• pi : gum::HashFuncConst
• plopTimer : gum::prm::StructuredInference< GUM_SCALAR >
• pool : gum::prm::StructuredInference< GUM_SCALAR >::CData, gum::prm::StructuredInference< GUM_SCALAR >::RGData
• pos_ : gum::NodeGraphPartIterator
• posteriors_ : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• potentiel : gum::prm::o3prmr::ObserveCommand< GUM_SCALAR >
• pots : gum::prm::StructuredInference< GUM_SCALAR >::PData
• preceding_node_ : gum::AVLTreeIterator< Val, Cmp >
• prefix : gum::prm::ParamScopeData< GUM_SCALAR >
• prev : gum::HashTableBucket< Key, Val >
• prev_node_ : gum::BinSearchTreeIterator< Val, Cmp, Node >
• prior_ : gum::learning::CachedContingencyCounter, gum::learning::IBNLearner, gum::learning::PseudoCount, gum::learning::Score
• priorDatabase_ : gum::learning::IBNLearner
• priorDbname_ : gum::learning::IBNLearner
• priorType_ : gum::learning::IBNLearner
• priorWeight_ : gum::learning::IBNLearner
• prm_ : gum::prm::PRMInference< GUM_SCALAR >
• probPot : gum::DecisionTensor< GUM_SCALAR >
• proj_ : gum::MultiDimCompleteProjection< GUM_ELEMENT, TABLE >, gum::MultiDimProjection< TABLE >
• projectionFunction : gum::MultiDimCombineAndProject< TABLE >, gum::MultiDimCombineAndProjectDefault< TABLE >, gum::MultiDimProjection< TABLE >
• pval : gum::learning::CIBasedLearning::SepSetEntry_
• pX_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• pXY_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• pXYZ_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• pXZ_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• pY_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• pYZ_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• pZ_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >