AddGroundClauseStruct | |
ARGS | |
argsAction | |
Array< Type > | |
ArraysAccessor< Type > | |
AuxClauseData | |
AuxFactor | Stores all relevant information about a factor |
BP | Class for belief propagation algorithm |
BPFactor | Stores all relevant information about a node attached to a factor |
BPLink | Stores all relevant information about the link between a factor and a node |
BPNode | |
BPParams | This struct holds parameters for the belief propagation algorithm |
CacheCount | |
ClausalFeature | |
ClausalGroundFeature | |
Clause | |
ClauseAndICDArray | |
ClauseCounter | |
ClauseFactory | |
ClauseSampler | |
Complex | |
ConstantFeature | |
ConstantGroundFeature | |
ConstDualMap | |
ConvergenceTest | |
Database | |
DiscriminativeLearner | Discriminative learning algorithms (see "Discriminative Training of Markov Logic Networks", Singla and Domingos, 2005 and "Efficient Weight Learning for Markov Logic Networks", Lowd and Domingos, 2007) |
Domain | |
DoubleRange | |
DualMap | |
EqualClause | |
EqualClauseCounter | |
EqualClauseOp | |
EqualFunction | |
EqualGroundClause | |
EqualGroundPredicate | |
EqualHashFormulaAndClauses | |
EqualIndexClause | |
EqualInt | |
EqualIntArray | |
EqualLinkId | |
EqualLongLong | |
EqualPredicate | |
EqualPredicateTerm | |
EqualStr | |
EqualString | |
EqualStrInt | |
ExistFormula | |
ExtRandom | |
Factor | Stores all relevant information about a factor in a factor graph |
FactorGraph | Class for a factor graph |
Feature | |
FormulaAndClauses | |
FormulaClauseIndexes | |
Function | |
FunctionTemplate | |
GelmanConvergenceTest | |
GibbsParams | This struct holds parameters needed to run Gibbs sampling |
GibbsSampler | Gibbs sampling algorithm |
GroundClause | Represents a grounded clause |
GroundFeature | |
GroundPredicate | |
GroundPreds | |
GroundRRF | |
Hash | |
HashArray< Type, HashFn, EqualFn > | |
HashClause | |
HashClauseCounter | |
HashFormulaAndClauses | |
HashFunction | |
HashGroundClause | |
HashGroundPredicate | |
HashIndexClause | |
HashInt | |
HashIntArray | |
HashLinkId | |
HashList< Type, HashFn, EqualFn > | |
HashLongLong | |
HashPredicate | |
HashPredicateTerm | |
HashString | |
HashStrInt | |
HMaxWalkSat | The HMaxWalkSat algorithm |
HMaxWalkSat::FlipDisVarIdxCont | |
HMCSAT | HMC-SAT is an MCMC inference algorithm designed to deal efficiently with probabilistic and deterministic dependencies (See Poon and Domingos, 2006) |
HVariableState | Represents the state of propositional variables and clauses |
HVariableState::HybridConstraint | Fills the blocks with the predicates in the domain blocks |
IdxDiv | |
IndexAndCount | |
IndexClause | |
IndexCountDomainIdx | |
IndexTranslator | |
Inference | Abstract class from which all inference algorithms are derived |
Internals | |
IntPairHash | |
LBFGSB | |
LBFGSP | |
LBFGSR | |
Link | Stores all relevant information about the link between a factor and a node |
LinkId | |
ListObj | |
LitIdxVarIdsGndings | |
LogSigMoid | |
MaxWalkSat | The MaxWalkSat algorithm |
MaxWalksatParams | This struct holds parameters needed to run MaxWalksat |
MCMC | Superclass of all MCMC inference algorithms |
MCMCParams | This struct holds parameters common to all MCMC inference algorithms |
MCSAT | MC-SAT is an MCMC inference algorithm designed to deal efficiently with probabilistic and deterministic dependencies (See Poon and Domingos, 2006) |
MCSatParams | This struct holds parameters needed to run MC-SAT |
MeanVariance | |
MLN | |
MLNClauseInfo | |
MRF | |
MultDArray< Type > | |
Node | Stores all relevant information about a node in a factor graph |
NumTrueFalse | |
OnlineEngine | Engine for performing inference and learning online |
ParentIter | |
ParentIter2 | |
Permutation< Type > | |
PolyNomial | |
PolyNomial::QuadraticPolyPara | |
PowerSet | |
PowerSetInstanceVars | |
Predicate | |
PredicateConstantsInfo | |
PredicateFeature | |
PredicateGroundFeature | |
PredicateTemplate | |
PredicateTerm | This class represents a predicate term (stores the predicate id and term no inside the predicate) |
PredIdClauseIndex | |
PseudoLogLikelihood | |
Random | |
RecursiveFeature | |
RecursiveGroundFeature | |
RRF | |
SampledGndings | |
SampleSatParams | This struct holds parameters needed to run SampleSat |
SAT | Superclass of all satisfiability solvers |
SimulatedTempering | Simulated Tempering algorithm |
SimulatedTemperingParams | This struct holds parameters needed to run Simulated Tempering |
StrFifoList | |
StrInt | |
StructLearn | |
SuperClause | |
SuperPred | |
Term | |
Timer | |
TrueFalseGndings | |
TrueFalseGroundingsStore | |
TwoWayMessage | |
UndoInfo | |
unionClass | |
UnitPropagation | |
Util | |
Variable | This class stores all the information about a variable appearing a predicate in a class |
VariableState | Represents the state of propositional variables and clauses |
VarsGroundedType | |
VarsTypeId | |
yy_buffer_state | |
yy_trans_info | |
yyGLRStack | |
yyGLRStackItem | Type of the items in the GLR stack |
yyGLRState | |
yyGLRStateSet | |
YYLTYPE | |
yySemanticOption | |
ZZFileState | |
ZZFormulaInfo | |
ZZUnknownEqPredInfo | |
ZZUnknownIntFuncInfo | |
ZZUnknownIntPredInfo | |
ZZVarIdType | |