A B C D E F G H I K L M N O P Q R S T U V W X Y Z _

A

absTol - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

AbstractCompletePartitioner - Class in edu.umd.cs.psl.optimizer.conic.partition

AbstractCompletePartitioner() - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

AbstractFormulaTraverser - Class in edu.umd.cs.psl.model.formula.traversal

Implements the depth-first traversal of a formula, but performs no actions during traversal.

AbstractFormulaTraverser() - Constructor for class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

AbstractGroundRule - Class in edu.umd.cs.psl.model.kernel.rule

Currently, we assume that the body of the rule is a conjunction and the head of the rule is a disjunction of atoms.

AbstractHitAndRunSampler - Class in edu.umd.cs.psl.sampler

Samples points in a constrained continuous Markov random field, using the "hit-and-run" sampling scheme described in Broecheler and Getoor, "Computing marginal distributions over continuous Markov networks for statistical relational learning." NIPS 2010.

AbstractHitAndRunSampler() - Constructor for class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

AbstractHitAndRunSampler(int) - Constructor for class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

AbstractHitAndRunSampler(int, int) - Constructor for class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

AbstractKernel - Class in edu.umd.cs.psl.model.kernel

Allows implementing Kernels to avoid keeping track of which GroundKernelStore to use when handling AtomEvents.

AbstractKernel() - Constructor for class edu.umd.cs.psl.model.kernel.AbstractKernel

AbstractRuleKernel - Class in edu.umd.cs.psl.model.kernel.rule

AbstractRuleKernel(Formula) - Constructor for class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentTypeContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstantContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintTypeContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.IntConstantContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.StrConstantContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.VariableContext

accept(ParseTreeVisitor<? extends T>) - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

acceptSample(boolean) - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

acceptSample(boolean) - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

acceptSample(boolean) - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

accumulate(ConfusionMatrix) - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Accumulates the scores from another confusion matrix.

accumulate(Collection<ConfusionMatrix>) - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Accumulates the scores from a collection of confusion matrices.

accumulate(SquareMatrix) - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Accumulates the scores from another square matrix.

accumulate(Collection<SquareMatrix>) - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Accumulates the scores from a collection of square matrices.

ACRuleFormula - Variable in class edu.umd.cs.psl.model.formula.AvgConjRule

action(RuleContext, int, int) - Method in class edu.umd.cs.psl.parser.PSLLexer

activateAtom(RandomVariableAtom) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Adds a AtomEvent#ActivatedRVAtom event to the job queue for a RandomVariableAtom, regardless of its truth value.

ActivatedEventTypeSet - Static variable in class edu.umd.cs.psl.model.atom.AtomEvent

Set containing AtomEvent.Type.ActivatedRVAtom.

ACTIVATION_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.model.atom.AtomEventFramework

Default value for ACTIVATION_THRESHOLD_KEY property

ACTIVATION_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.model.atom.AtomEventFramework

; Key for double property in (0,1].

AD3Reasoner - Class in edu.umd.cs.psl.reasoner.bool

Reasoner that performs inferences as a Boolean MRF using the AD3 command-line executable (https://github.com/andre-martins/AD3).

AD3Reasoner(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

AD3Reasoner.Algorithm - Enum in edu.umd.cs.psl.reasoner.bool

Options for AD3 executable algorithms

AD3ReasonerFactory - Class in edu.umd.cs.psl.reasoner.bool

Factory for a AD3Reasoner.

AD3ReasonerFactory() - Constructor for class edu.umd.cs.psl.reasoner.bool.AD3ReasonerFactory

ADAGRAD_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.HardEM

Default value for ADAGRAD_KEY

ADAGRAD_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.HardEM

Key for Boolean property that indicates whether to use AdaGrad subgradient scaling, the adaptive subgradient algorithm of John Duchi, Elad Hazan, Yoram Singer (JMLR 2010).

add(FunctionSummand) - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

Adds a FunctionSummand to the sum.

add(FunctionTerm) - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

Adds a FunctionTerm to the set of functions to consider.

add(E) - Method in class edu.umd.cs.psl.util.collection.HashList

add(int, E) - Method in class edu.umd.cs.psl.util.collection.HashList

addAll(VariableTypeMap) - Method in class edu.umd.cs.psl.model.argument.VariableTypeMap

Performs a shallow copy of all variable-type pairs from another VariableTypeMap to this one.

addAll(Collection<? extends E>) - Method in class edu.umd.cs.psl.util.collection.HashList

addAll(int, Collection<? extends E>) - Method in class edu.umd.cs.psl.util.collection.HashList

addChild(ExperimentTree) - Method in class edu.umd.cs.psl.util.datasplitter.ExperimentTree

addClosureStep(ClosureStep) - Method in class edu.umd.cs.psl.util.datasplitter.DataSplitter

addCone(Cone, Integer) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

addGroundKernel(GroundKernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Adds a GroundKernel to this store.

addGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

addGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

addGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

addGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

addInequalityConstraint(double[], double) - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

Adds a linear inequality constraint

addKernel(Kernel) - Method in class edu.umd.cs.psl.model.Model

Adds a Kernel to this Model.

addLossAugmentedKernels() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

addMember(A, double) - Method in class edu.umd.cs.psl.model.set.membership.ConstantMembership

addMember(A, double) - Method in interface edu.umd.cs.psl.model.set.membership.Membership

addMember(A, double) - Method in class edu.umd.cs.psl.model.set.membership.SoftMembership

addProperty(String, Object) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Add a property to the configuration.

addProperty(String, Object) - Method in class edu.umd.cs.psl.config.EmptyBundle

addQueryAtomGroundings(Database, Database, QueryAtom, Map<Variable, Set<GroundTerm>>) - Method in class edu.umd.cs.psl.util.datasplitter.builddbstep.QueryAtomsBuildDBStep

addRelation(Relation<ET, RT>) - Method in class edu.umd.cs.psl.ui.data.graph.Entity

addResult(GroundTerm[]) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

addVariable(Variable, ArgumentType) - Method in class edu.umd.cs.psl.model.argument.VariableTypeMap

Adds a variable-type pair to the hashmap.

addWord(int, double) - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity.WordVector

ADMM_STEPS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

Default value for ADMM_STEPS_KEY

ADMM_STEPS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

Key for Integer property that indicates how many steps of ADMM to run for each inner objective before each gradient step (parameter N in the ICML paper)

ADMMObjectiveTerm - Class in edu.umd.cs.psl.reasoner.admm

A term in the objective to be optimized by an ADMMReasoner.

ADMMObjectiveTerm(ADMMReasoner, int[]) - Constructor for class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

ADMMReasoner - Class in edu.umd.cs.psl.reasoner.admm

Uses an ADMM optimization method to optimize its GroundKernels.

ADMMReasoner(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

ADMMReasoner.Hyperplane - Class in edu.umd.cs.psl.reasoner.admm

ADMMReasoner.Hyperplane() - Constructor for class edu.umd.cs.psl.reasoner.admm.ADMMReasoner.Hyperplane

ADMMReasoner.VariableLocation - Class in edu.umd.cs.psl.reasoner.admm

ADMMReasonerFactory - Class in edu.umd.cs.psl.reasoner.admm

Factory for a ADMMReasoner.

ADMMReasonerFactory() - Constructor for class edu.umd.cs.psl.reasoner.admm.ADMMReasonerFactory

afterConjunction(int) - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

afterConjunction(int) - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

afterConjunction(int) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

afterConjunction(int) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

afterConjunction(int) - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

afterDisjunction(int) - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

afterDisjunction(int) - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

afterDisjunction(int) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

afterDisjunction(int) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

afterDisjunction(int) - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

afterNegation() - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

afterNegation() - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

afterNegation() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

afterNegation() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

afterNegation() - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

aggregate(Collection<ConfusionMatrix>) - Static method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Aggregates the scores of a collection of confusion matrices.

aggregate(Collection<SquareMatrix>) - Static method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Aggregates the scores of a collection of square matrices.

AggregateConstantSetOverlap - Class in edu.umd.cs.psl.ui.aggregators

AggregateConstantSetOverlap() - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateConstantSetOverlap

AggregateConstantSetOverlap(String[]) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateConstantSetOverlap

AggregateConstantSetOverlap(double) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateConstantSetOverlap

AggregateSetAverage - Class in edu.umd.cs.psl.ui.aggregators

AggregateSetAverage() - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetAverage

AggregateSetCrossEquality - Class in edu.umd.cs.psl.ui.aggregators

AggregateSetCrossEquality() - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetCrossEquality

AggregateSetCrossEquality(String[]) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetCrossEquality

AggregateSetEquality - Class in edu.umd.cs.psl.ui.aggregators

AggregateSetEquality(double, double, double) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

AggregateSetEquality(double) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

AggregateSetEquality() - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

AggregateSetEquality(String[]) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

AggregateSetInverseAverage - Class in edu.umd.cs.psl.ui.aggregators

Terms are in set2, not set1 like AggregateSetAverage

AggregateSetInverseAverage() - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetInverseAverage

AggregateSetOverlap - Class in edu.umd.cs.psl.ui.aggregators

AggregateSetOverlap() - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetOverlap

AggregateSetOverlap(String[]) - Constructor for class edu.umd.cs.psl.ui.aggregators.AggregateSetOverlap

aggregateValue(TermMembership, TermMembership, Set<GroundAtom>) - Method in interface edu.umd.cs.psl.model.set.aggregator.AggregatorFunction

aggregateValue(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

aggregateValue(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

aggregateValue(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

AggregatorFunction - Interface in edu.umd.cs.psl.model.set.aggregator

ALGORITHM_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

Default value for ALGORITHM_KEY property (AD3)

ALGORITHM_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

Key for Algorithm enum property which is inference algorithm to use.

AllEventTypesSet - Static variable in class edu.umd.cs.psl.model.atom.AtomEvent

Set containing AtomEvent.Type.ConsideredRVAtom and AtomEvent.Type.ActivatedRVAtom.

AllPredicates - Static variable in class edu.umd.cs.psl.model.atom.AtomEventFramework

ALPHA_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for ALPHA_KEY

ALPHA_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive double property, the Dirichlet prior hyperparameter alpha.

alwaysCutConstraints - Variable in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

AND - Static variable in class edu.umd.cs.psl.parser.PSLLexer

AND - Static variable in class edu.umd.cs.psl.parser.PSLParser

AND() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

apply(DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

argument() - Method in class edu.umd.cs.psl.parser.PSLParser

argument() - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

argument(int) - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

argument() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

argument(int) - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

argumentColumns() - Method in interface edu.umd.cs.psl.database.rdbms.RDBMSPredicateHandle

argumentDelimiter - Static variable in class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

arguments - Variable in class edu.umd.cs.psl.model.atom.Atom

ArgumentType - Enum in edu.umd.cs.psl.model.argument

A type of GroundTerm.

argumentType() - Method in class edu.umd.cs.psl.parser.PSLParser

argumentType() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

argumentType(int) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

argumentType() - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

argumentType(int) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

arity() - Method in interface edu.umd.cs.psl.ui.data.graph.RelationType

assign(Variable, GroundTerm) - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Assigns variable var the ground argument arg

Atom - Class in edu.umd.cs.psl.model.atom

A Predicate combined with the correct number of Terms as arguments.

Atom(Predicate, Term[]) - Constructor for class edu.umd.cs.psl.model.atom.Atom

atom() - Method in class edu.umd.cs.psl.parser.PSLParser

atom() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

atom - Variable in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

AtomCache - Class in edu.umd.cs.psl.model.atom

Storage for GroundAtoms so that a Database always returns the same object for a GroundAtom.

AtomCache(Database) - Constructor for class edu.umd.cs.psl.model.atom.AtomCache

Constructs a new AtomCache for a Database.

atomDetails(Atom) - Static method in class edu.umd.cs.psl.evaluation.debug.AtomPrinter

atomDetails(Atom, boolean, boolean) - Static method in class edu.umd.cs.psl.evaluation.debug.AtomPrinter

AtomEvent - Class in edu.umd.cs.psl.model.atom

An event related to a RandomVariableAtom.

AtomEvent(AtomEvent.Type, RandomVariableAtom, AtomEventFramework) - Constructor for class edu.umd.cs.psl.model.atom.AtomEvent

Constructs a new AtomEvent with associated properties

AtomEvent.Listener - Interface in edu.umd.cs.psl.model.atom

A listener for AtomEvents.

AtomEvent.Type - Enum in edu.umd.cs.psl.model.atom

Types of AtomEvents

AtomEventFramework - Class in edu.umd.cs.psl.model.atom

AtomManager with support for AtomEvents.

AtomEventFramework(Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.model.atom.AtomEventFramework

AtomEventFrameworkTest - Class in edu.umd.cs.psl.model.atom

AtomEventFrameworkTest() - Constructor for class edu.umd.cs.psl.model.atom.AtomEventFrameworkTest

AtomFilter - Interface in edu.umd.cs.psl.evaluation.statistics.filter

Filters an Iterator over GroundAtoms according to some criterion.

AtomFunctionVariable - Class in edu.umd.cs.psl.reasoner.function

Encapsulates the value of a GroundAtom for use in numeric functions.

AtomFunctionVariable(GroundAtom) - Constructor for class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

AtomicDouble - Class in edu.umd.cs.psl.util.concurrent

AtomicDouble() - Constructor for class edu.umd.cs.psl.util.concurrent.AtomicDouble

AtomicDouble(double) - Constructor for class edu.umd.cs.psl.util.concurrent.AtomicDouble

AtomManager - Interface in edu.umd.cs.psl.model.atom

Provides centralization and hooks for managing the GroundAtoms that are instantiated from a Database.

AtomPrinter - Class in edu.umd.cs.psl.evaluation.debug

AtomPrinter() - Constructor for class edu.umd.cs.psl.evaluation.debug.AtomPrinter

AtomPrintStream - Interface in edu.umd.cs.psl.evaluation.resultui.printer

Attribute - Interface in edu.umd.cs.psl.model.argument

A GroundTerm that is a value, as opposed to a UniqueID.

AUGMENT_LOSS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for AUGMENT_LOSS_KEY

AUGMENT_LOSS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for boolean property for whether to add loss-augmentation for online large margin

augmentLoss - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

average(Collection<SquareMatrix>) - Static method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Averages the scores of an array of square matrices.

average(double[]) - Static method in class edu.umd.cs.psl.ui.experiment.report.StatisticsUtil

AVERAGE_STEPS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for AVERAGE_STEPS_KEY

AVERAGE_STEPS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for Boolean property that indicates whether to average all visited weights together for final output.

averageKLdivergence(Predicate, int, FullConfidenceAnalysisResult) - Method in interface edu.umd.cs.psl.evaluation.result.FullConfidenceAnalysisResult

averageKLdivergence(Predicate, int, FullConfidenceAnalysisResult) - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullConfidenceAnalysisResult

averageKLdivergence(Predicate, int, FullConfidenceAnalysisResult) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

averageSteps - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

AvgConjRule - Class in edu.umd.cs.psl.model.formula

A PSL rule containing averaging conjunctions.

AvgConjRule(Formula) - Constructor for class edu.umd.cs.psl.model.formula.AvgConjRule

AvgConjunction - Class in edu.umd.cs.psl.model.formula

An averaging conjunction formula.

AvgConjunction(Formula...) - Constructor for class edu.umd.cs.psl.model.formula.AvgConjunction

B

B - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

BALANCE_LOSS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

Default value for BALANCE_LOSS_KEY

BALANCE_LOSS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

Key for LossBalancingType enum property.

base - Static variable in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

BasicSetTerm - Interface in edu.umd.cs.psl.model.set.term

beforeConjunction() - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

beforeConjunction() - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

beforeDisjunction() - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

beforeDisjunction() - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

beforeNegation() - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

beforeNegation() - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

BernoulliMeanFieldEM - Class in edu.umd.cs.psl.application.learning.weight.em

EM algorithm which fits a Bernoulli mean field (product of independent Bernoulli distributions) during the E-step.

BernoulliMeanFieldEM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

BETA_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for BETA_KEY

BETA_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for BETA_KEY property.

BETA_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive double property, the Dirichlet prior hyperparameter beta.

BETA_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for double property in (0,1).

BinaryRelation<ET extends EntityType,RT extends RelationType> - Class in edu.umd.cs.psl.ui.data.graph

BinaryRelation(RT, Entity<ET, RT>, Entity<ET, RT>) - Constructor for class edu.umd.cs.psl.ui.data.graph.BinaryRelation

BindingMode - Enum in edu.umd.cs.psl.model.kernel

BlockPreconditioner - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner

BlockPreconditioner(ConicProgram) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

BlockPreconditionerFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner

Factory for constructing BlockPreconditioners.

BlockPreconditionerFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditionerFactory

BlockSolver - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

Solves normal systems using the Schur's complement method, where the complement is complementary to a block-diagonal submatrix found by partitioning.

BlockSolver(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

BlockSolver.SchurComplement - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

BlockSolver.SchurComplement() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver.SchurComplement

BlockSolverFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

BlockSolverFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolverFactory

body - Variable in class edu.umd.cs.psl.model.formula.Rule

The fuzzy singletons that constitute the body of the rule

BOOLEAN_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Default value for BOOLEAN_KEY

BOOLEAN_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Default value for BOOLEAN_KEY

BOOLEAN_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Default value for BOOLEAN_KEY

BOOLEAN_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Boolean property.

BOOLEAN_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Boolean property.

BOOLEAN_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Boolean property.

BooleanMaxWalkSat - Class in edu.umd.cs.psl.reasoner.bool

Implementation of MaxWalkSat, which searches for a good Boolean assignment of truth values.

BooleanMaxWalkSat(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

BooleanMaxWalkSatFactory - Class in edu.umd.cs.psl.reasoner.bool

Factory for a BooleanMaxWalkSat.

BooleanMaxWalkSatFactory() - Constructor for class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSatFactory

BooleanMCSat - Class in edu.umd.cs.psl.reasoner.bool

Implementation of MC-Sat, which approximates the marginal probability that each atom has value 1 in a Boolean domain.

BooleanMCSat(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

BooleanMCSatFactory - Class in edu.umd.cs.psl.reasoner.bool

Factory for a BooleanMCSat.

BooleanMCSatFactory() - Constructor for class edu.umd.cs.psl.reasoner.bool.BooleanMCSatFactory

bounds(int) - Method in class edu.umd.cs.psl.model.parameters.NegativeWeight

bounds(int) - Method in interface edu.umd.cs.psl.model.parameters.Parameters

bounds(int) - Method in class edu.umd.cs.psl.model.parameters.PositiveWeight

broadcastModelEvent(ModelEvent) - Method in class edu.umd.cs.psl.model.Model

BuildDBStep - Interface in edu.umd.cs.psl.util.datasplitter.builddbstep

buildGroundModel() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

buildGroundModel() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

bulkCompute(Map<Variable, int[]>, Map<GroundTerm, GroundTerm[]>...) - Method in interface edu.umd.cs.psl.model.function.BulkExternalFunction

BulkExternalFunction - Interface in edu.umd.cs.psl.model.function

BURN_IN_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Default value for BURN_IN_KEY

BURN_IN_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Default value for BURN_IN_KEY

BURN_IN_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Number of burn-in samples

BURN_IN_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Number of burn-in samples

burnIn - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

burnIn - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

C

C - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

callReasoner() - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

callReasoner() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

castStringWithModifiersForIndexing(String) - Method in interface edu.umd.cs.psl.database.rdbms.driver.DatabaseDriver

String type is not friendly to index.

castStringWithModifiersForIndexing(String) - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

castStringWithModifiersForIndexing(String) - Method in class edu.umd.cs.psl.database.rdbms.driver.MySQLDriver

At most use the first 255 characters in an index containing string

cg - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

CG_ABS_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Default value for CG_REL_TOL_KEY property

CG_ABS_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Default value for CG_REL_TOL_KEY property

CG_ABS_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Default value for CG_REL_TOL_KEY property

CG_ABS_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Key for double property.

CG_ABS_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Key for double property.

CG_ABS_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Key for double property.

CG_DIV_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Default value for CG_DIV_TOL_KEY property

CG_DIV_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Default value for CG_DIV_TOL_KEY property

CG_DIV_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Default value for CG_DIV_TOL_KEY property

CG_DIV_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Key for double property.

CG_DIV_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Key for double property.

CG_DIV_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Key for double property.

CG_MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Default value for CG_MAX_ITER_KEY property

CG_MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Default value for CG_MAX_ITER_KEY property

CG_MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Default value for CG_MAX_ITER_KEY property

CG_MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Key for integer property.

CG_MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Key for integer property.

CG_MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Key for integer property.

CG_REL_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Default value for CG_REL_TOL_KEY property

CG_REL_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Default value for CG_REL_TOL_KEY property

CG_REL_TOL_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Default value for CG_REL_TOL_KEY property

CG_REL_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Key for double property.

CG_REL_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Key for double property.

CG_REL_TOL_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Key for double property.

CHANGE_THRESHOLD - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Key for maximum iterations

CHANGE_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Default value for CHANGE_THRESHOLD

CHANGE_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Default value for CHANGE_THRESHOLD_KEY

CHANGE_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Default value for CHANGE_THRESHOLD_KEY

CHANGE_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Key for double property to be multiplied with square root of number of CompatibilityKernels to form mean change stopping criterion

CHANGE_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Key for double property to be multiplied with square root of number of CompatibilityKernels to form mean change stopping criterion

changedGroundKernel(GroundKernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Notifies this store that a GroundKernel was changed.

changedGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

changedGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

changedGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

changedGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

changedGroundKernelWeight(GroundCompatibilityKernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Notifies this store that a GroundCompatibilityKernel's weight was changed.

changedGroundKernelWeight(GroundCompatibilityKernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

changedGroundKernelWeight(GroundCompatibilityKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

changedGroundKernelWeight(GroundCompatibilityKernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

changedGroundKernelWeight(GroundCompatibilityKernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

changedGroundKernelWeights() - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Equivalent to calling GroundKernelStore.changedGroundKernelWeight(GroundCompatibilityKernel) for all GroundCompatibilityKernels.

changedGroundKernelWeights() - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

changedGroundKernelWeights() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

changedGroundKernelWeights() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

changedGroundKernelWeights() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

changeThresholdFactor - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

changeThresholdFactor - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

checkInAllMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

checkInAllMatrices() - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

checkInMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

checkInMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

checkInProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

checkOutAllMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

checkOutAllMatrices() - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

checkOutMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

checkOutMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

checkOutProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

checkToActivate() - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Adds a AtomEvent#ActivatedRVAtom event to the job queue for each RandomVariableAtom in the Database's AtomCache which is at or above the activation threshold and has not already been activated by this AtomEventFramework since being loaded into memory.

Cholesky - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

Solves normal systems using a Cholesky factorization.

Cholesky() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.Cholesky

cholesky - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

choleskyB - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

choleskyD - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

CholeskyFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

Factory for Cholesky normal system solver.

CholeskyFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.CholeskyFactory

clause - Variable in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

cleanUp() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

Deletes any files and releases any resources used by the tested DataStore and its persistence mechanism

cleanUp() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStoreTest

cleanUpGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.LazyMaxLikelihoodMPE

cleanUpGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

clear() - Method in interface edu.umd.cs.psl.config.ConfigBundle

Remove all properties from the configuration.

clear() - Method in class edu.umd.cs.psl.config.EmptyBundle

clear() - Method in class edu.umd.cs.psl.util.collection.HashList

clearClosureSteps() - Method in class edu.umd.cs.psl.util.datasplitter.DataSplitter

clearProperty(String) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Remove a property from the configuration.

clearProperty(String) - Method in class edu.umd.cs.psl.config.EmptyBundle

clone() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

clone() - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Returns a deep copy of the confusion matrix.

clone() - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Returns a deep copy of the matrix.

clone() - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

clone() - Method in interface edu.umd.cs.psl.model.kernel.Kernel

clone() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

clone() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

clone() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

clone() - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

clone() - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

clone() - Method in class edu.umd.cs.psl.model.kernel.rule.ConstraintRuleKernel

clone() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

close() - Method in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

close() - Method in class edu.umd.cs.psl.application.inference.LazyMPEInference

close() - Method in class edu.umd.cs.psl.application.inference.MPEInference

close() - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

close() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

detaches all saved references

close() - Method in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

close() - Method in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

close() - Method in interface edu.umd.cs.psl.application.ModelApplication

Releases all resources used by this ModelApplication.

close() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

close() - Method in interface edu.umd.cs.psl.database.Database

Releases the Partitions used by this Database.

close() - Method in interface edu.umd.cs.psl.database.DataStore

Releases all resources and locks obtained by this DataStore.

close() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

close() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

close() - Method in interface edu.umd.cs.psl.evaluation.resultui.printer.AtomPrintStream

close() - Method in class edu.umd.cs.psl.evaluation.resultui.printer.DefaultAtomPrintStream

close() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

close() - Method in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

close() - Method in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

close() - Method in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

close() - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

close() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

close() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

close() - Method in interface edu.umd.cs.psl.reasoner.Reasoner

Releases all resources acquired by this Reasoner.

close() - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

CLOSEBRACE - Static variable in class edu.umd.cs.psl.parser.PSLLexer

CLOSEBRACE - Static variable in class edu.umd.cs.psl.parser.PSLParser

CLOSEBRACE() - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

CLOSEPAR - Static variable in class edu.umd.cs.psl.parser.PSLLexer

CLOSEPAR - Static variable in class edu.umd.cs.psl.parser.PSLParser

ClosureStep - Interface in edu.umd.cs.psl.util.datasplitter.closurestep

The closure step follows the splitting step in the process of creating train/test splits.

CmdDebugger - Class in edu.umd.cs.psl.evaluation.debug

CmdDebugger(Database) - Constructor for class edu.umd.cs.psl.evaluation.debug.CmdDebugger

coarseSizeThreshold(int) - Static method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

coefficients - Variable in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

coeffs - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner.Hyperplane

collectSets(List<Collection<Partition>>) - Static method in class edu.umd.cs.psl.util.datasplitter.builddbstep.PartitionSetUtils

collectVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.atom.GroundAtom

collectVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.atom.QueryAtom

collectVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

collectVariables(VariableTypeMap) - Method in interface edu.umd.cs.psl.model.formula.Formula

Adds the Variables

collectVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.formula.Negation

collectVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.formula.Rule

COMMA - Static variable in class edu.umd.cs.psl.parser.PSLLexer

COMMA - Static variable in class edu.umd.cs.psl.parser.PSLParser

COMMENT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

COMMENT - Static variable in class edu.umd.cs.psl.parser.PSLParser

commit(RandomVariableAtom) - Method in interface edu.umd.cs.psl.database.Database

Persists a RandomVariableAtom in this Database's write Partition.

commit(RandomVariableAtom) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

commitToDB() - Method in class edu.umd.cs.psl.model.atom.RandomVariableAtom

Calls Database.commit(RandomVariableAtom) with this Atom on the Database that instantiated it.

compare(Predicate) - Method in class edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator

For now, assumes the results DB has grounded all relevant instances of predicate p.

compare(Predicate) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

Compares the baseline with te inferred result for a given predicate DOES NOT check the baseline database for atoms.

compare(Predicate, int) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

Compares the baseline with the inferred result for a given predicate.

compare(Predicate, Map<GroundTerm, Integer>, int) - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionComparator

Returns prediction statistics in the form of a confusion matrix.

compare(Predicate) - Method in interface edu.umd.cs.psl.evaluation.statistics.PredictionComparator

compare(Predicate, int) - Method in interface edu.umd.cs.psl.evaluation.statistics.PredictionComparator

compare(Predicate) - Method in interface edu.umd.cs.psl.evaluation.statistics.RankingComparator

compare(Predicate) - Method in class edu.umd.cs.psl.evaluation.statistics.SimpleRankingComparator

compareResults() - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.model.argument.DateAttribute

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.model.argument.DoubleAttribute

compareTo(GroundTerm) - Method in interface edu.umd.cs.psl.model.argument.GroundTerm

Inherited from Comparable.compareTo(Object).

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.model.argument.IntegerAttribute

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.model.argument.LongAttribute

compareTo(GroundTerm) - Method in class edu.umd.cs.psl.model.argument.StringAttribute

CompatibilityAveragingRuleKernel - Class in edu.umd.cs.psl.model.kernel.rule

A CompatibilityRuleKernel for averaging conjunction rules.

CompatibilityAveragingRuleKernel(AvgConjRule, double, boolean) - Constructor for class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

CompatibilityKernel - Interface in edu.umd.cs.psl.model.kernel

CompatibilityKernel - Static variable in class edu.umd.cs.psl.util.collection.Filters

CompatibilityRuleKernel - Class in edu.umd.cs.psl.model.kernel.rule

CompatibilityRuleKernel(Formula, double, boolean) - Constructor for class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

CompletePartitioner - Interface in edu.umd.cs.psl.optimizer.conic.partition

CompletePartitionerFactory - Interface in edu.umd.cs.psl.optimizer.conic.partition

computeDegree(String) - Method in interface edu.umd.cs.psl.ui.data.graph.DegreeFunction

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.em.HardEM

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.LazyMaxLikelihoodMPE

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxLikelihoodMPE

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Computes the expected incompatibility using the pseudolikelihood.

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Computes the expected (unweighted) total incompatibility of the GroundCompatibilityKernels in reasoner for each CompatibilityKernel.

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Computes the expected incompatibility using the pseudolikelihood.

computeExpectedIncomp() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Computes the expected incompatibility using the pseudolikelihood.

computeIncompatibilities() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundIncompatibilityMetropolisRandOM

computeIncompatibilities() - Method in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilityMetropolisRandOM

computeIncompatibilities() - Method in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilitySliceRandOM

computeLoss() - Method in class edu.umd.cs.psl.application.learning.weight.em.HardEM

computeLoss() - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

computeLoss() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxLikelihoodMPE

computeLoss() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Internal method for computing the loss at the current point before taking a step.

computeObservedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

Computes the expected ground truth incompatibility with respect to the mean field.

computeObservedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.em.HardEM

computeObservedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

computeObservedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.LazyMaxLikelihoodMPE

computeObservedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxLikelihoodMPE

computeObservedIncomp() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

computeRegularizer() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

computeScalingFactor() - Method in class edu.umd.cs.psl.application.learning.weight.em.HardEM

computeScalingFactor() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.LazyMaxLikelihoodMPE

computeScalingFactor() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Computes the amount to scale gradient for each rule Scales by the number of groundings of each rule unless the rule is not grounded in the training set, in which case scales by 1.0

computeValue(ReadOnlyDatabase, GroundTerm...) - Method in class edu.umd.cs.psl.model.predicate.ExternalFunctionalPredicate

computeValue(ReadOnlyDatabase, GroundTerm...) - Method in class edu.umd.cs.psl.model.predicate.FunctionalPredicate

Computes the truth value of the Atom of this Predicate with the given arguments.

Cone - Class in edu.umd.cs.psl.optimizer.conic.program

coneMap - Variable in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

coneMap - Variable in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

ConeType - Enum in edu.umd.cs.psl.optimizer.conic.program

CONFIDENCE_COLUMN_DEFAULT - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Default value for the CONFIDENCE_COLUMN_KEY property

CONFIDENCE_COLUMN_KEY - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Key for String property for the name of the confidence column in the database.

ConfidenceAnalysis - Class in edu.umd.cs.psl.application.inference

Infers the means and inverse standard deviations of the RandomVariableAtoms persisted in a Database, according to a Model, given the Database's ObservedAtoms.

ConfidenceAnalysis(Model, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

confidenceColumn() - Method in interface edu.umd.cs.psl.database.rdbms.RDBMSPredicateHandle

confidenceValue - Variable in class edu.umd.cs.psl.model.atom.GroundAtom

ConfidenceValues - Class in edu.umd.cs.psl.model

Static methods related to valid range of confidence values.

ConfidenceValues() - Constructor for class edu.umd.cs.psl.model.ConfidenceValues

config - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.inference.LazyMPEInference

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.inference.MPEInference

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.em.HardEM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.model.atom.AtomEventFramework

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPM

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

Prefix of property keys used by this class.

CONFIG_PREFIX - Static variable in class edu.umd.cs.psl.reasoner.ExecutableReasoner

Prefix of property keys used by this class.

ConfigBundle - Interface in edu.umd.cs.psl.config

Encapsulates a set of configuration properties organized by keys.

ConfigManager - Class in edu.umd.cs.psl.config

ConfusionMatrix - Class in edu.umd.cs.psl.evaluation.statistics

Confusion matrix data structure.

ConfusionMatrix(int) - Constructor for class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Initializes an empty confusion matrix of size numClasses.

ConfusionMatrix(int[][]) - Constructor for class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Initializes a confusion matrix from a 2D array of ints.

ConfusionMatrix(ConfusionMatrix) - Constructor for class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Copy constructor.

ConicProgram - Class in edu.umd.cs.psl.optimizer.conic.program

Stores information about the primal and dual forms of a conic program.

ConicProgram() - Constructor for class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

ConicProgramEvent - Enum in edu.umd.cs.psl.optimizer.conic.program

ConicProgramListener - Interface in edu.umd.cs.psl.optimizer.conic.program

ConicProgramPartition - Class in edu.umd.cs.psl.optimizer.conic.partition

ConicProgramPartition(ConicProgram, Collection<Set<Cone>>) - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

ConicProgramPartitionTest - Class in edu.umd.cs.psl.optimizer.conic.partition

Tests ConicProgramPartition.

ConicProgramPartitionTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartitionTest

ConicProgramSolver - Interface in edu.umd.cs.psl.optimizer.conic

ConicProgramSolverContractTest - Class in edu.umd.cs.psl.optimizer.conic

Contract tests for classes that implement ConicProgramSolver.

ConicProgramSolverContractTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.ConicProgramSolverContractTest

ConicProgramSolverFactory - Interface in edu.umd.cs.psl.optimizer.conic

ConicProgramTest - Class in edu.umd.cs.psl.optimizer.conic.program

Tests ConicProgram.

ConicProgramTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

ConicReasoner - Class in edu.umd.cs.psl.reasoner.conic

Reasoner that uses a ConicProgramSolver to minimize the total weighted incompatibility.

ConicReasoner(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.conic.ConicReasoner

Constructs a ConicReasoner.

ConicReasonerFactory - Class in edu.umd.cs.psl.reasoner.conic

Factory for a ConicReasoner.

ConicReasonerFactory() - Constructor for class edu.umd.cs.psl.reasoner.conic.ConicReasonerFactory

ConjugateGradient - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

Solves normal systems using a conjugate gradient method.

ConjugateGradient(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

ConjugateGradientFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver

Factory for ConjugateGradient normal system solver.

ConjugateGradientFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradientFactory

ConjugateGradientIPM - Class in edu.umd.cs.psl.optimizer.conic.ipm.cg

Primal-dual short-step interior point method.

ConjugateGradientIPM(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

ConjugateGradientIPMFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.cg

ConjugateGradientIPMFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPMFactory

ConjugateGradientIPMTest - Class in edu.umd.cs.psl.optimizer.conic.ipm.cg

ConjugateGradientIPMTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPMTest

Conjunction - Class in edu.umd.cs.psl.model.formula

Conjunction(Formula...) - Constructor for class edu.umd.cs.psl.model.formula.Conjunction

conjunction(double, double) - Method in enum edu.umd.cs.psl.model.formula.Tnorm

ConsideredEventTypeSet - Static variable in class edu.umd.cs.psl.model.atom.AtomEvent

Set containing AtomEvent.Type.ConsideredRVAtom.

constant() - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

constant() - Method in class edu.umd.cs.psl.parser.PSLParser

constant - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner.Hyperplane

ConstantAtomFunctionVariable - Class in edu.umd.cs.psl.reasoner.function

Encapsulates the value of a GroundAtom for use in numeric functions.

ConstantAtomFunctionVariable(GroundAtom) - Constructor for class edu.umd.cs.psl.reasoner.function.ConstantAtomFunctionVariable

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateConstantSetOverlap

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetAverage

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetCrossEquality

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetInverseAverage

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetOverlap

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

constantFactor(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

ConstantMembership<A> - Class in edu.umd.cs.psl.model.set.membership

ConstantMembership() - Constructor for class edu.umd.cs.psl.model.set.membership.ConstantMembership

ConstantNumber - Class in edu.umd.cs.psl.reasoner.function

A FunctionTerm with constant value.

ConstantNumber(double) - Constructor for class edu.umd.cs.psl.reasoner.function.ConstantNumber

ConstantOneNodeWeighter - Class in edu.umd.cs.psl.util.graph.weight

ConstantOneNodeWeighter() - Constructor for class edu.umd.cs.psl.util.graph.weight.ConstantOneNodeWeighter

ConstantSetTerm - Class in edu.umd.cs.psl.model.set.term

ConstantSetTerm(GroundTerm) - Constructor for class edu.umd.cs.psl.model.set.term.ConstantSetTerm

ConstantTermMembership - Class in edu.umd.cs.psl.model.set.membership

ConstantTermMembership() - Constructor for class edu.umd.cs.psl.model.set.membership.ConstantTermMembership

CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLParser

constraint() - Method in class edu.umd.cs.psl.parser.PSLParser

CONSTRAINT() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

constraint(int) - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

constraint() - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

CONSTRAINT() - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

CONSTRAINT_TOLERANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Default value for CONSTRAINT_TOLERANCE

CONSTRAINT_TOLERANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Default value for CONSTRAINT_TOLERANCE

CONSTRAINT_TOLERANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Default value for CONSTRAINT_TOLERANCE

CONSTRAINT_TOLERANCE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Key for constraint violation tolerance

CONSTRAINT_TOLERANCE_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Key for constraint violation tolerance

CONSTRAINT_TOLERANCE_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Key for constraint violation tolerance

ConstraintBlocker - Class in edu.umd.cs.psl.util.model

This class blocks free RandomVariableAtoms and RandomVariableAtoms that are each constrained by a single GroundDomainRangeConstraint into logically individual categorical variables.

ConstraintBlocker(GroundKernelStore) - Constructor for class edu.umd.cs.psl.util.model.ConstraintBlocker

ConstraintKernel - Interface in edu.umd.cs.psl.model.kernel

ConstraintKernel - Static variable in class edu.umd.cs.psl.util.collection.Filters

ConstraintRuleKernel - Class in edu.umd.cs.psl.model.kernel.rule

ConstraintRuleKernel(Formula) - Constructor for class edu.umd.cs.psl.model.kernel.rule.ConstraintRuleKernel

ConstraintTerm - Class in edu.umd.cs.psl.reasoner.function

A numeric constraint.

ConstraintTerm(FunctionTerm, FunctionComparator, double) - Constructor for class edu.umd.cs.psl.reasoner.function.ConstraintTerm

constraintType() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

constraintType() - Method in class edu.umd.cs.psl.parser.PSLParser

contains(Object) - Method in class edu.umd.cs.psl.util.collection.HashList

containsAll(Collection<?>) - Method in class edu.umd.cs.psl.util.collection.HashList

containsEntity(Entity<ET, RT>) - Method in class edu.umd.cs.psl.ui.data.graph.Subgraph

containsGroundKernel(GroundKernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Checks whether a GroundKernel is in this store.

containsGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

containsGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

containsGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

containsGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

ContinuousPredictionComparator - Class in edu.umd.cs.psl.evaluation.statistics

ContinuousPredictionComparator(Database) - Constructor for class edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator

ContinuousPredictionComparator.Metric - Enum in edu.umd.cs.psl.evaluation.statistics

convertArguments(Database, Predicate, Object...) - Static method in class edu.umd.cs.psl.util.database.Queries

Converts raw arguments to Terms that fit a given Predicate.

ConvexFunc - Interface in edu.umd.cs.psl.optimizer.lbfgs

User: Stanley Kok Date: 12/20/10 Time: 7:08 PM

copy() - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Returns a shallow copy.

copyAssign(Variable, GroundTerm) - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Assigns the given variable/ground term pair to a copy of this variable assignment.

CosineSimilarity - Class in edu.umd.cs.psl.ui.functions.textsimilarity

CosineSimilarity() - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

CosineSimilarity(double) - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

cosineSimilarity(CosineSimilarity.WordVector, CosineSimilarity.WordVector) - Static method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

CosineSimilarity.WordVector - Class in edu.umd.cs.psl.ui.functions.textsimilarity

CosineSimilarity.WordVector() - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity.WordVector

count() - Method in class edu.umd.cs.psl.model.set.membership.ConstantMembership

count() - Method in interface edu.umd.cs.psl.model.set.membership.Membership

count() - Method in class edu.umd.cs.psl.model.set.membership.SoftMembership

CPS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

Default value for CPS_KEY property.

CPS_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

Default value for CPS_KEY property.

CPS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

Key for ConicProgramSolverFactory or String property.

CPS_KEY - Static variable in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

Key for Factory or String property.

cpuTime() - Method in class edu.umd.cs.psl.optimizer.lbfgs.Timer

Returns CPU time in nanoseconds.

create(String[]) - Method in interface edu.umd.cs.psl.ui.data.file.util.DelimitedObjectConstructor

create(String[]) - Method in class edu.umd.cs.psl.ui.data.file.util.ListIntegerConstructor

createCoarseGraph(Graph, Iterable<SuperNode>, Map<Node, SuperNode>, RelationshipWeighter) - Static method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

createConstraint() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

createEntity(int, ET) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

createFunctionalPredicate(String, ExternalFunction) - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

Constructs an ExternalFunctionalPredicate.

createHashIndex(String, String, String) - Method in interface edu.umd.cs.psl.database.rdbms.driver.DatabaseDriver

Template for hash index creation for different drivers.

createHashIndex(String, String, String) - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

createHashIndex(String, String, String) - Method in class edu.umd.cs.psl.database.rdbms.driver.MySQLDriver

Create a full length hash index on the given column@table using the index_name.

createNode() - Method in interface edu.umd.cs.psl.util.graph.Graph

createNode() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryGraph

createNonNegativeOrthantCone() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

createPrimaryKey(String, String) - Method in interface edu.umd.cs.psl.database.rdbms.driver.DatabaseDriver

Primary key creation syntax is not friendly in JDBC.

createPrimaryKey(String, String) - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

createPrimaryKey(String, String) - Method in class edu.umd.cs.psl.database.rdbms.driver.MySQLDriver

Create primary key clause For more information see: http://dev.mysql.com/doc/refman/5.1/en/alter-table.html

createProperty(String, Object) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

createProperty(String, Object) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

createProperty(String, Object) - Method in interface edu.umd.cs.psl.util.graph.Node

createPropertyType(String, Class<?>) - Method in interface edu.umd.cs.psl.util.graph.Graph

createPropertyType(String, Class<?>) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryGraph

createRelationship(String, Node) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

createRelationship(String, Node) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

createRelationship(String, Node) - Method in interface edu.umd.cs.psl.util.graph.Node

createRelationshipType(String) - Method in interface edu.umd.cs.psl.util.graph.Graph

createRelationshipType(String) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryGraph

createRotatedSecondOrderCone(int) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

createSecondOrderCone(int) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

createStandardPredicate(String, ArgumentType...) - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

Constructs a StandardPredicate.

createTerm(GroundKernel) - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

createTerm(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Processes a GroundKernel to create a corresponding ADMMObjectiveTerm

cumulativeGroundings - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

cumulativeGroundings - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

current - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

current - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

currentProgram - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

currentPt - Variable in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

currentWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

currentWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

currentWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

currentWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

cutRows - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

CUTTING_PLANE_TOLERANCE - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Key for cutting plane tolerance

CUTTING_PLANE_TOLERANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Default value for CUTTING_PLANE_TOLERANCE_KEY

CUTTING_PLANE_TOLERANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Default value for CUTTING_PLANE_TOLERANCE

CUTTING_PLANE_TOLERANCE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Key for double property, cutting plane tolerance

D

D - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Database - Interface in edu.umd.cs.psl.database

A data model for retrieving and persisting GroundAtoms.

DatabaseDriver - Interface in edu.umd.cs.psl.database.rdbms.driver

DatabasePopulator - Class in edu.umd.cs.psl.database

A DatabasePopulator can easily commit a large number of RandomVariableAtoms to a database.

DatabasePopulator(Database) - Constructor for class edu.umd.cs.psl.database.DatabasePopulator

Constructs a DatabasePopulator using the specified Database.

DatabasePopulatorTest - Class in edu.umd.cs.psl.database

DatabasePopulatorTest() - Constructor for class edu.umd.cs.psl.database.DatabasePopulatorTest

DatabaseQuery - Class in edu.umd.cs.psl.database

A query to select groundings from a Database.

DatabaseQuery(Formula) - Constructor for class edu.umd.cs.psl.database.DatabaseQuery

DataLoader - Interface in edu.umd.cs.psl.database.loading

DataSplitter - Class in edu.umd.cs.psl.util.datasplitter

Utility for splitting data sets.

DataSplitter(long) - Constructor for class edu.umd.cs.psl.util.datasplitter.DataSplitter

DataStore - Interface in edu.umd.cs.psl.database

Makes GroundAtoms available via Databases.

DataStoreContractTest - Class in edu.umd.cs.psl.database

Contract tests for classes that implement DataStore.

DataStoreContractTest() - Constructor for class edu.umd.cs.psl.database.DataStoreContractTest

DataStoreInserterLookup - Class in edu.umd.cs.psl.ui.loading

DataStoreInserterLookup(DataStore, Partition) - Constructor for class edu.umd.cs.psl.ui.loading.DataStoreInserterLookup

DateAttribute - Class in edu.umd.cs.psl.model.argument

An Attribute that encapsulates a Date.

DateAttribute(DateTime) - Constructor for class edu.umd.cs.psl.model.argument.DateAttribute

Constructs a Date attribute from a Date

db - Variable in class edu.umd.cs.psl.model.atom.GroundAtom

DBDefinition - Class in edu.umd.cs.psl.util.datasplitter.builddbstep

DBDefinition(Partition, Set<StandardPredicate>, Partition[]) - Constructor for class edu.umd.cs.psl.util.datasplitter.builddbstep.DBDefinition

DBL_ARG - Static variable in class edu.umd.cs.psl.parser.PSLLexer

DBL_ARG - Static variable in class edu.umd.cs.psl.parser.PSLParser

Debugger - Interface in edu.umd.cs.psl.evaluation.debug

DEFAULT_THRESHOLD - Static variable in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

DefaultAtomPrintStream - Class in edu.umd.cs.psl.evaluation.resultui.printer

DefaultAtomPrintStream() - Constructor for class edu.umd.cs.psl.evaluation.resultui.printer.DefaultAtomPrintStream

defaultBurnInStepsPercentage - Static variable in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

defaultDelimiter - Static variable in class edu.umd.cs.psl.ui.data.file.util.LoadDelimitedData

defaultMaxNoSteps - Static variable in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

defaultSignificantDigits - Static variable in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

defineConstraint(GroundAtom, TermMembership, TermMembership, Set<GroundAtom>) - Method in interface edu.umd.cs.psl.model.set.aggregator.EntityAggregatorFunction

defineConstraint(GroundAtom, TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

defineConstraint(GroundAtom, TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

defineConstraint(GroundAtom, TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

DegreeFunction - Interface in edu.umd.cs.psl.ui.data.graph

delete() - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

delete() - Method in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

delete() - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

delete() - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

delete() - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

delete() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

delete() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

delete() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

delete() - Method in interface edu.umd.cs.psl.util.graph.Node

deleteEntity(Entity<ET, RT>) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

deletePartition(Partition) - Method in interface edu.umd.cs.psl.database.DataStore

Deletes all GroundAtoms persisted in a Partition.

deletePartition(Partition) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

DelimitedObjectConstructor<O> - Interface in edu.umd.cs.psl.ui.data.file.util

DelimitedObjectConstructor.Filter - Interface in edu.umd.cs.psl.ui.data.file.util

DELTA_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for DELTA_KEY property.

DELTA_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for double property in [0,1].

DerivativeSampler - Class in edu.umd.cs.psl.sampler

DerivativeSampler(Collection<Kernel>) - Constructor for class edu.umd.cs.psl.sampler.DerivativeSampler

DerivativeSampler(Collection<Kernel>, int) - Constructor for class edu.umd.cs.psl.sampler.DerivativeSampler

DerivativeSampler(Collection<Kernel>, int, int) - Constructor for class edu.umd.cs.psl.sampler.DerivativeSampler

descriptionKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

DiagonalPreconditionerFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner

Factory for constructing DoubleDiagonal preconditioners.

DiagonalPreconditionerFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.DiagonalPreconditionerFactory

DiceSimilarity - Class in edu.umd.cs.psl.ui.functions.textsimilarity

Implements the dice similarity measure (quick-n-dirty version).

DiceSimilarity() - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.DiceSimilarity

DiceSimilarity(double) - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.DiceSimilarity

DiscretePredictionComparator - Class in edu.umd.cs.psl.evaluation.statistics

DiscretePredictionComparator(Database) - Constructor for class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

DiscretePredictionComparatorTest - Class in edu.umd.cs.psl.evaluation.statistics

DiscretePredictionComparatorTest() - Constructor for class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparatorTest

DiscretePredictionStatistics - Class in edu.umd.cs.psl.evaluation.statistics

Statistics computed by a PredictionComparator which discretizes truth values before comparing them.

DiscretePredictionStatistics(int, int, int, int, double, Map<GroundAtom, Double>, Set<GroundAtom>) - Constructor for class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

DiscretePredictionStatistics.BinaryClass - Enum in edu.umd.cs.psl.evaluation.statistics

Disjunction - Class in edu.umd.cs.psl.model.formula

Disjunction(Formula...) - Constructor for class edu.umd.cs.psl.model.formula.Disjunction

disjunction(double, double) - Method in enum edu.umd.cs.psl.model.formula.Tnorm

divTol - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

doClosure(Database, List<Collection<Partition>>) - Method in interface edu.umd.cs.psl.util.datasplitter.closurestep.ClosureStep

doClosure(Database, List<Collection<Partition>>) - Method in class edu.umd.cs.psl.util.datasplitter.closurestep.LinkClosure

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.em.HardEM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundIncompatibilityMetropolisRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilityMetropolisRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilitySliceRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

doLearn() - Method in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

DomainRangeConstraintKernel - Class in edu.umd.cs.psl.model.kernel.predicateconstraint

Produces GroundDomainRangeConstraints.

DomainRangeConstraintKernel(StandardPredicate, DomainRangeConstraintType) - Constructor for class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

DomainRangeConstraintKernel(StandardPredicate, DomainRangeConstraintType, Map<GroundTerm, Double>) - Constructor for class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

DomainRangeConstraintType - Enum in edu.umd.cs.psl.model.kernel.predicateconstraint

PredicateConstraintType provides a method of specifying predicate constraints as used by the DomainRangeConstraintKernel.

doPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

doPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

doPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

doPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.WeightedDistanceCompletePartitioner

doSolve(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

doSolve(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPM

doSolve(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.PartitionedIPM

DoubleAttribute - Class in edu.umd.cs.psl.model.argument

An Attribute that encapsulates a Double.

DoubleAttribute(Double) - Constructor for class edu.umd.cs.psl.model.argument.DoubleAttribute

Constructs a Double attribute from a Double

drawDistribution(AtomFunctionVariable, int, int) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

drawDistributions(Predicate, int, int) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

DUAL_FEASIBILITY_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Default value for DUAL_FEASIBILITY_THRESHOLD_KEY property.

DUAL_FEASIBILITY_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Key for double property.

DUALITY_GAP_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Default value for DUALITY_GAP_THRESHOLD_KEY property.

DUALITY_GAP_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Default value for DUALITY_GAP_THRESHOLD_KEY property.

DUALITY_GAP_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Key for double property.

DUALITY_GAP_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Key for double property.

dualityGapThreshold - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

DUALIZE_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for DUALIZE_KEY property

DUALIZE_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Default value for DUALIZE_KEY property

DUALIZE_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for boolean property.

DUALIZE_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Key for boolean property.

dualized - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

dualizer - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Dualizer - Class in edu.umd.cs.psl.optimizer.conic.util

Dualizer(ConicProgram) - Constructor for class edu.umd.cs.psl.optimizer.conic.util.Dualizer

DualizerTest - Class in edu.umd.cs.psl.optimizer.conic.util

DualizerTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

duplicate() - Method in class edu.umd.cs.psl.model.parameters.NegativeWeight

duplicate() - Method in class edu.umd.cs.psl.model.parameters.PositiveWeight

duplicate() - Method in class edu.umd.cs.psl.model.parameters.Weight

DynamicClassLoader - Class in edu.umd.cs.psl.util.dynamicclass

DynamicClassLoader() - Constructor for class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

E

Edge - Interface in edu.umd.cs.psl.util.graph

edu.umd.cs.psl.application - package edu.umd.cs.psl.application

edu.umd.cs.psl.application.groundkernelstore - package edu.umd.cs.psl.application.groundkernelstore

edu.umd.cs.psl.application.inference - package edu.umd.cs.psl.application.inference

edu.umd.cs.psl.application.learning.weight - package edu.umd.cs.psl.application.learning.weight

edu.umd.cs.psl.application.learning.weight.em - package edu.umd.cs.psl.application.learning.weight.em

edu.umd.cs.psl.application.learning.weight.maxlikelihood - package edu.umd.cs.psl.application.learning.weight.maxlikelihood

edu.umd.cs.psl.application.learning.weight.maxmargin - package edu.umd.cs.psl.application.learning.weight.maxmargin

edu.umd.cs.psl.application.learning.weight.random - package edu.umd.cs.psl.application.learning.weight.random

edu.umd.cs.psl.application.topicmodel - package edu.umd.cs.psl.application.topicmodel

edu.umd.cs.psl.application.topicmodel.kernel - package edu.umd.cs.psl.application.topicmodel.kernel

edu.umd.cs.psl.application.topicmodel.reasoner.admm - package edu.umd.cs.psl.application.topicmodel.reasoner.admm

edu.umd.cs.psl.application.topicmodel.reasoner.function - package edu.umd.cs.psl.application.topicmodel.reasoner.function

edu.umd.cs.psl.application.util - package edu.umd.cs.psl.application.util

edu.umd.cs.psl.config - package edu.umd.cs.psl.config

edu.umd.cs.psl.database - package edu.umd.cs.psl.database

edu.umd.cs.psl.database.loading - package edu.umd.cs.psl.database.loading

edu.umd.cs.psl.database.rdbms - package edu.umd.cs.psl.database.rdbms

edu.umd.cs.psl.database.rdbms.driver - package edu.umd.cs.psl.database.rdbms.driver

edu.umd.cs.psl.evaluation.debug - package edu.umd.cs.psl.evaluation.debug

edu.umd.cs.psl.evaluation.result - package edu.umd.cs.psl.evaluation.result

edu.umd.cs.psl.evaluation.result.memory - package edu.umd.cs.psl.evaluation.result.memory

edu.umd.cs.psl.evaluation.resultui - package edu.umd.cs.psl.evaluation.resultui

edu.umd.cs.psl.evaluation.resultui.printer - package edu.umd.cs.psl.evaluation.resultui.printer

edu.umd.cs.psl.evaluation.statistics - package edu.umd.cs.psl.evaluation.statistics

edu.umd.cs.psl.evaluation.statistics.filter - package edu.umd.cs.psl.evaluation.statistics.filter

edu.umd.cs.psl.groovy - package edu.umd.cs.psl.groovy

edu.umd.cs.psl.groovy.syntax - package edu.umd.cs.psl.groovy.syntax

edu.umd.cs.psl.model - package edu.umd.cs.psl.model

edu.umd.cs.psl.model.argument - package edu.umd.cs.psl.model.argument

edu.umd.cs.psl.model.atom - package edu.umd.cs.psl.model.atom

edu.umd.cs.psl.model.formula - package edu.umd.cs.psl.model.formula

edu.umd.cs.psl.model.formula.traversal - package edu.umd.cs.psl.model.formula.traversal

edu.umd.cs.psl.model.function - package edu.umd.cs.psl.model.function

edu.umd.cs.psl.model.kernel - package edu.umd.cs.psl.model.kernel

edu.umd.cs.psl.model.kernel.linearconstraint - package edu.umd.cs.psl.model.kernel.linearconstraint

edu.umd.cs.psl.model.kernel.predicateconstraint - package edu.umd.cs.psl.model.kernel.predicateconstraint

edu.umd.cs.psl.model.kernel.rule - package edu.umd.cs.psl.model.kernel.rule

edu.umd.cs.psl.model.kernel.setdefinition - package edu.umd.cs.psl.model.kernel.setdefinition

edu.umd.cs.psl.model.parameters - package edu.umd.cs.psl.model.parameters

edu.umd.cs.psl.model.predicate - package edu.umd.cs.psl.model.predicate

edu.umd.cs.psl.model.set.aggregator - package edu.umd.cs.psl.model.set.aggregator

edu.umd.cs.psl.model.set.membership - package edu.umd.cs.psl.model.set.membership

edu.umd.cs.psl.model.set.term - package edu.umd.cs.psl.model.set.term

edu.umd.cs.psl.optimizer.conic - package edu.umd.cs.psl.optimizer.conic

edu.umd.cs.psl.optimizer.conic.ipm - package edu.umd.cs.psl.optimizer.conic.ipm

edu.umd.cs.psl.optimizer.conic.ipm.cg - package edu.umd.cs.psl.optimizer.conic.ipm.cg

edu.umd.cs.psl.optimizer.conic.ipm.solver - package edu.umd.cs.psl.optimizer.conic.ipm.solver

edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner - package edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner

edu.umd.cs.psl.optimizer.conic.mosek - package edu.umd.cs.psl.optimizer.conic.mosek

edu.umd.cs.psl.optimizer.conic.partition - package edu.umd.cs.psl.optimizer.conic.partition

edu.umd.cs.psl.optimizer.conic.program - package edu.umd.cs.psl.optimizer.conic.program

edu.umd.cs.psl.optimizer.conic.util - package edu.umd.cs.psl.optimizer.conic.util

edu.umd.cs.psl.optimizer.lbfgs - package edu.umd.cs.psl.optimizer.lbfgs

edu.umd.cs.psl.parser - package edu.umd.cs.psl.parser

edu.umd.cs.psl.reasoner - package edu.umd.cs.psl.reasoner

Provides interfaces and classes for performing probabilistic inference over Atoms.

edu.umd.cs.psl.reasoner.admm - package edu.umd.cs.psl.reasoner.admm

edu.umd.cs.psl.reasoner.bool - package edu.umd.cs.psl.reasoner.bool

edu.umd.cs.psl.reasoner.conic - package edu.umd.cs.psl.reasoner.conic

edu.umd.cs.psl.reasoner.function - package edu.umd.cs.psl.reasoner.function

Provides interfaces and classes for defining functions that Reasoners can interpret.

edu.umd.cs.psl.reasoner.function.util - package edu.umd.cs.psl.reasoner.function.util

edu.umd.cs.psl.sampler - package edu.umd.cs.psl.sampler

edu.umd.cs.psl.ui.aggregators - package edu.umd.cs.psl.ui.aggregators

edu.umd.cs.psl.ui.data.file.util - package edu.umd.cs.psl.ui.data.file.util

edu.umd.cs.psl.ui.data.graph - package edu.umd.cs.psl.ui.data.graph

edu.umd.cs.psl.ui.experiment.folds - package edu.umd.cs.psl.ui.experiment.folds

edu.umd.cs.psl.ui.experiment.report - package edu.umd.cs.psl.ui.experiment.report

edu.umd.cs.psl.ui.functions.textsimilarity - package edu.umd.cs.psl.ui.functions.textsimilarity

edu.umd.cs.psl.ui.loading - package edu.umd.cs.psl.ui.loading

edu.umd.cs.psl.util.collection - package edu.umd.cs.psl.util.collection

edu.umd.cs.psl.util.concurrent - package edu.umd.cs.psl.util.concurrent

edu.umd.cs.psl.util.database - package edu.umd.cs.psl.util.database

edu.umd.cs.psl.util.datasplitter - package edu.umd.cs.psl.util.datasplitter

edu.umd.cs.psl.util.datasplitter.builddbstep - package edu.umd.cs.psl.util.datasplitter.builddbstep

edu.umd.cs.psl.util.datasplitter.closurestep - package edu.umd.cs.psl.util.datasplitter.closurestep

edu.umd.cs.psl.util.datasplitter.splitstep - package edu.umd.cs.psl.util.datasplitter.splitstep

edu.umd.cs.psl.util.dynamicclass - package edu.umd.cs.psl.util.dynamicclass

edu.umd.cs.psl.util.graph - package edu.umd.cs.psl.util.graph

edu.umd.cs.psl.util.graph.memory - package edu.umd.cs.psl.util.graph.memory

edu.umd.cs.psl.util.graph.partition - package edu.umd.cs.psl.util.graph.partition

edu.umd.cs.psl.util.graph.partition.hierarchical - package edu.umd.cs.psl.util.graph.partition.hierarchical

edu.umd.cs.psl.util.graph.weight - package edu.umd.cs.psl.util.graph.weight

edu.umd.cs.psl.util.model - package edu.umd.cs.psl.util.model

EmptyBundle - Class in edu.umd.cs.psl.config

EmptyBundle() - Constructor for class edu.umd.cs.psl.config.EmptyBundle

enoughSupport(TermMembership, TermMembership, Set<GroundAtom>) - Method in interface edu.umd.cs.psl.model.set.aggregator.EntityAggregatorFunction

Better err on the save side!!

enoughSupport(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetAverage

enoughSupport(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

enoughSupport(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetInverseAverage

enoughSupport(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

enoughSupport(TermMembership, TermMembership, Set<GroundAtom>) - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

enterArgument(PSLParser.ArgumentContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.argument().

enterArgument(PSLParser.ArgumentContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.argument().

enterArgumentType(PSLParser.ArgumentTypeContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.argumentType().

enterArgumentType(PSLParser.ArgumentTypeContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.argumentType().

enterAtom(PSLParser.AtomContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.atom().

enterAtom(PSLParser.AtomContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.atom().

enterConstant(PSLParser.ConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.constant().

enterConstant(PSLParser.ConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.constant().

enterConstraint(PSLParser.ConstraintContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.constraint().

enterConstraint(PSLParser.ConstraintContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.constraint().

enterConstraintType(PSLParser.ConstraintTypeContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.constraintType().

enterConstraintType(PSLParser.ConstraintTypeContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.constraintType().

enterEveryRule(ParserRuleContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

The default implementation does nothing.

enterExpression(PSLParser.ExpressionContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.expression(int).

enterExpression(PSLParser.ExpressionContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.expression(int).

enterIntConstant(PSLParser.IntConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.intConstant().

enterIntConstant(PSLParser.IntConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.intConstant().

enterKernel(PSLParser.KernelContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.kernel().

enterKernel(PSLParser.KernelContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.kernel().

enterPredicate(PSLParser.PredicateContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.predicate().

enterPredicate(PSLParser.PredicateContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.predicate().

enterPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.predicateDefinition().

enterPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.predicateDefinition().

enterProgram(PSLParser.ProgramContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.program().

enterProgram(PSLParser.ProgramContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.program().

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentTypeContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstantContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintTypeContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.IntConstantContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.StrConstantContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.VariableContext

enterRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

enterStrConstant(PSLParser.StrConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.strConstant().

enterStrConstant(PSLParser.StrConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.strConstant().

enterVariable(PSLParser.VariableContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.variable().

enterVariable(PSLParser.VariableContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.variable().

enterWeight(PSLParser.WeightContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Enter a parse tree produced by PSLParser.weight().

enterWeight(PSLParser.WeightContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Enter a parse tree produced by PSLParser.weight().

Entity - Class in edu.umd.cs.psl.optimizer.conic.program

Entity<ET extends EntityType,RT extends RelationType> - Class in edu.umd.cs.psl.ui.data.graph

EntityAggregatorFunction - Interface in edu.umd.cs.psl.model.set.aggregator

EntityType - Interface in edu.umd.cs.psl.ui.data.graph

EPSILON_ABS_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Default value for EPSILON_ABS_KEY property

EPSILON_ABS_KEY - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Key for positive double property.

EPSILON_REL_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Default value for EPSILON_ABS_KEY property

EPSILON_REL_KEY - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Key for positive double property.

Equal - Static variable in class edu.umd.cs.psl.model.predicate.SpecialPredicate

True if arguments are equal.

equals(Object) - Method in class edu.umd.cs.psl.database.Partition

equals(Object) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

equals(Object) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

equals(Object) - Method in class edu.umd.cs.psl.database.ReadOnlyDatabase

equals(Object) - Method in class edu.umd.cs.psl.model.argument.DateAttribute

A DateAttribute is equal to another Object if that Object is a DateAttribute and their values are equal.

equals(Object) - Method in class edu.umd.cs.psl.model.argument.DoubleAttribute

A DoubleAttribute is equal to another Object if that Object is a DoubleAttribute and their values are equal.

equals(Object) - Method in class edu.umd.cs.psl.model.argument.IntegerAttribute

An IntegerAttribute is equal to another Object if that Object is an IntegerAttribute and their values are equal.

equals(Object) - Method in class edu.umd.cs.psl.model.argument.LongAttribute

A LongAttribute is equal to another Object if that Object is a LongAttribute and their values are equal.

equals(Object) - Method in class edu.umd.cs.psl.model.argument.StringAttribute

A StringAttribute is equal to another Object if that Object is a TextAttribute and their values are equal.

equals(Object) - Method in interface edu.umd.cs.psl.model.argument.Term

Checks equality with an Object.

equals(Object) - Method in class edu.umd.cs.psl.model.argument.Variable

Checks equality with another object.

equals(Object) - Method in class edu.umd.cs.psl.model.atom.Atom

equals(Object) - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

equals(Object) - Method in class edu.umd.cs.psl.model.formula.Negation

equals(Object) - Method in class edu.umd.cs.psl.model.formula.Rule

equals(Object) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

equals(Object) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

equals(Object) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

equals(Object) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

equals(Object) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

equals(Object) - Method in class edu.umd.cs.psl.model.parameters.Weight

equals(Object) - Method in class edu.umd.cs.psl.model.predicate.Predicate

equals(Object) - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

equals(Object) - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

equals(Object) - Method in class edu.umd.cs.psl.model.set.term.SetUnion

equals(Object) - Method in class edu.umd.cs.psl.optimizer.conic.program.Entity

equals(Object) - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

equals(Object) - Method in class edu.umd.cs.psl.ui.data.graph.BinaryRelation

equals(Object) - Method in class edu.umd.cs.psl.ui.data.graph.Entity

equals(Object) - Method in class edu.umd.cs.psl.ui.data.graph.Relation

equalsRelaxed(double, double) - Static method in class edu.umd.cs.psl.model.NumericUtilities

equalsStrict(double, double) - Static method in class edu.umd.cs.psl.model.NumericUtilities

escapeSingleQuotes(String) - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

eStep() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

evaluateFunction(double[], double[], double[][]) - Method in interface edu.umd.cs.psl.optimizer.lbfgs.FunctionEvaluation

evaluateLoss() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

evaluateLoss() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

EvidSetMin - Class in edu.umd.cs.psl.ui.aggregators

EvidSetMin(double, double, double) - Constructor for class edu.umd.cs.psl.ui.aggregators.EvidSetMin

EvidSetMin(double) - Constructor for class edu.umd.cs.psl.ui.aggregators.EvidSetMin

EvidSetMin() - Constructor for class edu.umd.cs.psl.ui.aggregators.EvidSetMin

EvidSetMin(String[]) - Constructor for class edu.umd.cs.psl.ui.aggregators.EvidSetMin

executable - Variable in class edu.umd.cs.psl.reasoner.ExecutableReasoner

EXECUTABLE_KEY - Static variable in class edu.umd.cs.psl.reasoner.ExecutableReasoner

Key for String property which is path to reasoner executable.

ExecutableReasoner - Class in edu.umd.cs.psl.reasoner

An abstract superclass for reasoners implemented as command-line executables.

ExecutableReasoner(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.ExecutableReasoner

executeQuery(DatabaseQuery) - Method in class edu.umd.cs.psl.application.learning.weight.TrainingMap

executeQuery(DatabaseQuery) - Method in interface edu.umd.cs.psl.database.Database

Returns all groundings of a Formula that match a DatabaseQuery.

executeQuery(DatabaseQuery) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

executeQuery(DatabaseQuery) - Method in class edu.umd.cs.psl.database.ReadOnlyDatabase

executeQuery(DatabaseQuery) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

executeQuery(DatabaseQuery) - Method in interface edu.umd.cs.psl.model.atom.AtomManager

Calls Database.executeQuery(DatabaseQuery) on the encapsulated Database.

executeQuery(DatabaseQuery) - Method in class edu.umd.cs.psl.model.atom.PersistedAtomManager

executeQuery(DatabaseQuery) - Method in class edu.umd.cs.psl.model.atom.SimpleAtomManager

exitArgument(PSLParser.ArgumentContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.argument().

exitArgument(PSLParser.ArgumentContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.argument().

exitArgumentType(PSLParser.ArgumentTypeContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.argumentType().

exitArgumentType(PSLParser.ArgumentTypeContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.argumentType().

exitAtom(PSLParser.AtomContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.atom().

exitAtom(PSLParser.AtomContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.atom().

exitConstant(PSLParser.ConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.constant().

exitConstant(PSLParser.ConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.constant().

exitConstraint(PSLParser.ConstraintContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.constraint().

exitConstraint(PSLParser.ConstraintContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.constraint().

exitConstraintType(PSLParser.ConstraintTypeContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.constraintType().

exitConstraintType(PSLParser.ConstraintTypeContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.constraintType().

exitEveryRule(ParserRuleContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

The default implementation does nothing.

exitExpression(PSLParser.ExpressionContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.expression(int).

exitExpression(PSLParser.ExpressionContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.expression(int).

exitIntConstant(PSLParser.IntConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.intConstant().

exitIntConstant(PSLParser.IntConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.intConstant().

exitKernel(PSLParser.KernelContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.kernel().

exitKernel(PSLParser.KernelContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.kernel().

exitPredicate(PSLParser.PredicateContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.predicate().

exitPredicate(PSLParser.PredicateContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.predicate().

exitPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.predicateDefinition().

exitPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.predicateDefinition().

exitProgram(PSLParser.ProgramContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.program().

exitProgram(PSLParser.ProgramContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.program().

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentTypeContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstantContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintTypeContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.IntConstantContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.StrConstantContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.VariableContext

exitRule(ParseTreeListener) - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

exitStrConstant(PSLParser.StrConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.strConstant().

exitStrConstant(PSLParser.StrConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.strConstant().

exitVariable(PSLParser.VariableContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.variable().

exitVariable(PSLParser.VariableContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.variable().

exitWeight(PSLParser.WeightContext) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

Exit a parse tree produced by PSLParser.weight().

exitWeight(PSLParser.WeightContext) - Method in interface edu.umd.cs.psl.parser.PSLListener

Exit a parse tree produced by PSLParser.weight().

ExpectationMaximization - Class in edu.umd.cs.psl.application.learning.weight.em

Abstract superclass for implementations of the expectation-maximization algorithm for learning with latent variables.

ExpectationMaximization(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

expectedIncompatibility - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

ExperimentReport - Class in edu.umd.cs.psl.ui.experiment.report

ExperimentReport(File) - Constructor for class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

ExperimentReport(String) - Constructor for class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

ExperimentReport(String, boolean) - Constructor for class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

ExperimentReport(String, String) - Constructor for class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

ExperimentReport(String, String, boolean) - Constructor for class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

ExperimentReport(File, String, boolean) - Constructor for class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

ExperimentTree - Class in edu.umd.cs.psl.util.datasplitter

Tree of experimental setups, such as folds and train/test splits.

ExperimentTree() - Constructor for class edu.umd.cs.psl.util.datasplitter.ExperimentTree

ExperimentTree(DBDefinition) - Constructor for class edu.umd.cs.psl.util.datasplitter.ExperimentTree

expression(int) - Method in class edu.umd.cs.psl.parser.PSLParser

expression(int) - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

expression() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

expression() - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

ExternalFunction - Interface in edu.umd.cs.psl.model.function

ExternalFunctionalPredicate - Class in edu.umd.cs.psl.model.predicate

A FunctionalPredicate which uses an ExternalFunction to compute truth values.

F

Factory - Interface in edu.umd.cs.psl.config

FeasiblePointInitializer - Class in edu.umd.cs.psl.optimizer.conic.util

FeasiblePointInitializer(ConicProgram) - Constructor for class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializer

FeasiblePointInitializerTest - Class in edu.umd.cs.psl.optimizer.conic.util

FeasiblePointInitializerTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializerTest

filter(Iterator<GroundAtom>) - Method in interface edu.umd.cs.psl.evaluation.statistics.filter.AtomFilter

filter(Iterator<GroundAtom>) - Method in class edu.umd.cs.psl.evaluation.statistics.filter.InSetFilter

filter(Iterator<GroundAtom>) - Method in class edu.umd.cs.psl.evaluation.statistics.filter.MaxValueFilter

filter(Iterator<GroundAtom>) - Method in class edu.umd.cs.psl.evaluation.statistics.filter.OutOfBoundsFilter

filter(Iterator<GroundAtom>) - Method in class edu.umd.cs.psl.evaluation.statistics.filter.WithinBoundsFilter

Filters - Class in edu.umd.cs.psl.util.collection

Filters() - Constructor for class edu.umd.cs.psl.util.collection.Filters

finishRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

finishRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

finishRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

finishRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

finishRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

finishRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

FIRST_W_LEARNING_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for FIRST_W_LEARNING_ITER_KEY

FIRST_W_LEARNING_ITER_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive integer property indicating the number of EM iterations to perform before performing weight learning.

FirstOrderMetropolisRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A MetropolisRandOM learning algorithm that samples one weight for all GroundCompatibilityKernels with the same parent CompatibilityKernel.

FirstOrderMetropolisRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

FirstOrderSliceRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

FirstOrderSliceRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

flatten() - Method in class edu.umd.cs.psl.model.formula.AvgConjunction

Collapses nested AvgConjunctions.

flatten() - Method in class edu.umd.cs.psl.model.formula.Conjunction

Collapses nested Conjunctions.

flatten() - Method in class edu.umd.cs.psl.model.formula.Disjunction

Collapses nested Disjunctions.

FoldLoader - Interface in edu.umd.cs.psl.ui.experiment.folds

Formula - Interface in edu.umd.cs.psl.model.formula

A logical formula composed of Atoms and logical operators.

formula - Variable in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

Formula2SQL - Class in edu.umd.cs.psl.database.rdbms

Formula2SQL(VariableAssignment, Set<Variable>, RDBMSDatabase) - Constructor for class edu.umd.cs.psl.database.rdbms.Formula2SQL

FormulaAnalysis - Class in edu.umd.cs.psl.model.formula

Converts a Formula to a simplified Disjunctive Normal Form view and makes the clauses available.

FormulaAnalysis(Formula) - Constructor for class edu.umd.cs.psl.model.formula.FormulaAnalysis

FormulaAnalysis.DNFClause - Class in edu.umd.cs.psl.model.formula

FormulaAnalysis.DNFClause(List<Atom>, List<Atom>) - Constructor for class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

FormulaEvaluator - Class in edu.umd.cs.psl.model.formula.traversal

FormulaEvaluator(Tnorm) - Constructor for class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

FormulaGrounder - Class in edu.umd.cs.psl.model.formula.traversal

FormulaGrounder is an object capable of traversing a Formula, replacing Variables with values specified in the VariableAssignment or ResultList passed to the constructor.

FormulaGrounder(AtomManager, ResultList, VariableAssignment) - Constructor for class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

FormulaGrounder(AtomManager, ResultList) - Constructor for class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

formulaNorm - Static variable in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

FormulaSetTerm - Class in edu.umd.cs.psl.model.set.term

FormulaSetTerm(Formula, Variable, Set<Variable>) - Constructor for class edu.umd.cs.psl.model.set.term.FormulaSetTerm

FormulaTraverser - Interface in edu.umd.cs.psl.model.formula.traversal

Interface specifying the methods needed to properly traverse a formula

frameworks - Variable in class edu.umd.cs.psl.model.kernel.AbstractKernel

FullConfidenceAnalysisResult - Interface in edu.umd.cs.psl.evaluation.result

FullInferenceResult - Interface in edu.umd.cs.psl.evaluation.result

function - Variable in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLParser

FunctionalPredicate - Class in edu.umd.cs.psl.model.predicate

A Predicate with GroundAtoms that have truth values defined by a function of their arguments and the ObservedAtoms of the closed StandardPredicates of the GroundAtoms' Databases.

FunctionAnalyser - Class in edu.umd.cs.psl.reasoner.function.util

Utilities for analyzing functions.

FunctionAnalyser() - Constructor for class edu.umd.cs.psl.reasoner.function.util.FunctionAnalyser

FunctionComparator - Enum in edu.umd.cs.psl.reasoner.function

Enumerates possible equality and inequality relationships among numeric functions and values.

FunctionEvaluation - Interface in edu.umd.cs.psl.optimizer.lbfgs

FunctionSingleton - Interface in edu.umd.cs.psl.reasoner.function

A FunctionTerm with at most one FunctionVariable.

FunctionSum - Class in edu.umd.cs.psl.reasoner.function

A numeric function defined as a sum of FunctionSummands.

FunctionSum() - Constructor for class edu.umd.cs.psl.reasoner.function.FunctionSum

FunctionSummand - Class in edu.umd.cs.psl.reasoner.function

Associates a FunctionSingleton with a coefficient.

FunctionSummand(double, FunctionSingleton) - Constructor for class edu.umd.cs.psl.reasoner.function.FunctionSummand

Constructs a FunctionSummand from a FunctionSingleton and a coefficient.

FunctionTerm - Interface in edu.umd.cs.psl.reasoner.function

A numeric function.

FunctionVariable - Interface in edu.umd.cs.psl.reasoner.function

A variable in a numeric function.

G

GAP_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for GAP_THRESHOLD_KEY property.

GAP_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for double property.

get(int, Variable) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

get(int) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

get(int, Variable) - Method in interface edu.umd.cs.psl.database.ResultList

Returns a substitution for a single Variable

get(int) - Method in interface edu.umd.cs.psl.database.ResultList

Returns a substitution for all Variables.

get(int, int) - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Get entry (i,j).

get(int) - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

get(int) - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

Returns a function in the MaxFunction's set.

get(int) - Method in class edu.umd.cs.psl.ui.data.graph.BinaryRelation

get(int) - Method in class edu.umd.cs.psl.ui.data.graph.Relation

get(String) - Method in class edu.umd.cs.psl.ui.loading.DataStoreInserterLookup

get(String) - Method in interface edu.umd.cs.psl.ui.loading.InserterLookup

get(String) - Method in class edu.umd.cs.psl.ui.loading.InserterLookupMap

get(int) - Method in class edu.umd.cs.psl.util.collection.HashList

get() - Method in class edu.umd.cs.psl.util.concurrent.AtomicDouble

get1DViewsByInnerConstraints(DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

get1DViewsByVars(DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getA() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getAccuracy() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getAccuracy() - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

Returns the total number of errors.

getACopies() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getAggregateValue() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getAggregator() - Method in enum edu.umd.cs.psl.groovy.SetComparison

getAggregator() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

getAllAtoms(Database, Predicate) - Static method in class edu.umd.cs.psl.util.database.Queries

Returns all GroundAtoms of a Predicate persisted in a Database.

getAllRelations() - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getAllRelations(Subgraph<ET, RT>) - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getAllVariablesBound() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

Returns whether all Variables in the clause appear at least once in a positive literal with a StandardPredicate.

getAnchorVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

getAnchorVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

getAnchorVariables(VariableTypeMap) - Method in interface edu.umd.cs.psl.model.set.term.SetTerm

getAnchorVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.set.term.SetUnion

getAnchorVariables(VariableTypeMap) - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

getArgs() - Method in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

getArgs() - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

getArgs() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getArguments() - Method in class edu.umd.cs.psl.model.atom.Atom

Returns the arguments associated with this atom.

getArguments() - Method in class edu.umd.cs.psl.model.atom.GroundAtom

getArgumentType(int) - Method in class edu.umd.cs.psl.model.predicate.Predicate

Returns the ArgumentType which a Term must have to be a valid argument for a particular argument position of this Predicate.

getArgumentTypes() - Method in interface edu.umd.cs.psl.model.function.ExternalFunction

getArgumentTypes() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

getArgumentTypes() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.DiceSimilarity

getArgumentTypes() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.LevenshteinSimilarity

getArgumentTypes() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.SubStringSimilarity

getArity() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

getArity() - Method in interface edu.umd.cs.psl.database.ResultList

getArity() - Method in class edu.umd.cs.psl.model.atom.Atom

Returns the number of arguments to the associated predicate.

getArity() - Method in interface edu.umd.cs.psl.model.function.ExternalFunction

getArity() - Method in class edu.umd.cs.psl.model.predicate.Predicate

Returns the number of Terms that are related when using this Predicate.

getArity() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

getArity() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

getArity() - Method in interface edu.umd.cs.psl.model.set.term.SetTerm

Returns the arity of the tuples contained in this set.

getArity() - Method in class edu.umd.cs.psl.model.set.term.SetUnion

getArity() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

getArity() - Method in class edu.umd.cs.psl.ui.data.graph.BinaryRelation

getArity() - Method in class edu.umd.cs.psl.ui.data.graph.Relation

getArity() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

getArity() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.DiceSimilarity

getArity() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.LevenshteinSimilarity

getArity() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.SubStringSimilarity

getATN() - Method in class edu.umd.cs.psl.parser.PSLLexer

getATN() - Method in class edu.umd.cs.psl.parser.PSLParser

getAtom() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getAtom(Predicate, GroundTerm...) - Method in class edu.umd.cs.psl.application.learning.weight.TrainingMap

getAtom(Predicate, GroundTerm...) - Method in interface edu.umd.cs.psl.database.Database

Returns the GroundAtom for the given Predicate and GroundTerms.

getAtom(Predicate, GroundTerm...) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

getAtom(Predicate, GroundTerm...) - Method in class edu.umd.cs.psl.database.ReadOnlyDatabase

getAtom() - Method in class edu.umd.cs.psl.model.atom.AtomEvent

getAtom(Predicate, GroundTerm...) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Calls Database.getAtom(Predicate, GroundTerm...) and adds a AtomEvent#ConsideredRVAtom event to the job queue if the GroundAtom is a RandomVariableAtom and not already in the Database's AtomCache.

getAtom(Predicate, GroundTerm...) - Method in interface edu.umd.cs.psl.model.atom.AtomManager

Returns the GroundAtom for the given Predicate and GroundTerms.

getAtom(Predicate, GroundTerm...) - Method in class edu.umd.cs.psl.model.atom.PersistedAtomManager

getAtom(Predicate, GroundTerm...) - Method in class edu.umd.cs.psl.model.atom.SimpleAtomManager

Calls Database.getAtom(Predicate, GroundTerm...).

getAtom() - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

getAtomCache() - Method in interface edu.umd.cs.psl.database.Database

getAtomCache() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

getAtoms() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getAtoms() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

getAtoms(Set<Atom>) - Method in class edu.umd.cs.psl.model.atom.Atom

getAtoms(Set<Atom>) - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

getAtoms(Set<Atom>) - Method in interface edu.umd.cs.psl.model.formula.Formula

getAtoms(Set<Atom>) - Method in class edu.umd.cs.psl.model.formula.Negation

getAtoms(Set<Atom>) - Method in class edu.umd.cs.psl.model.formula.Rule

getAtoms() - Method in interface edu.umd.cs.psl.model.kernel.GroundKernel

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

getAtoms() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getAttribute(String, Class<O>) - Method in class edu.umd.cs.psl.ui.data.graph.HasAttributes

getAttribute(String) - Method in class edu.umd.cs.psl.ui.data.graph.HasAttributes

getAttribute(String) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getAttribute(String, Class<O>) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getAttribute() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

getAttribute(Class<O>) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

getAttribute(String) - Method in interface edu.umd.cs.psl.util.graph.Node

getAttribute(String, Class<O>) - Method in interface edu.umd.cs.psl.util.graph.Node

getAttribute() - Method in interface edu.umd.cs.psl.util.graph.Property

getAttribute(Class<O>) - Method in interface edu.umd.cs.psl.util.graph.Property

getAugmentedLagrangianPenalty() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getAverage(Kernel) - Method in class edu.umd.cs.psl.sampler.DerivativeSampler

getB() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getBalanceExponent() - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

getBasicTerms() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

getBasicTerms() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

getBasicTerms() - Method in interface edu.umd.cs.psl.model.set.term.SetTerm

getBasicTerms() - Method in class edu.umd.cs.psl.model.set.term.SetUnion

getBasicTerms() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

getBigDecimal(String, BigDecimal) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a BigDecimal associated with the given configuration key.

getBigDecimal(String, BigDecimal) - Method in class edu.umd.cs.psl.config.EmptyBundle

getBigInteger(String, BigInteger) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a BigInteger associated with the given configuration key.

getBigInteger(String, BigInteger) - Method in class edu.umd.cs.psl.config.EmptyBundle

getBinding(Atom) - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getBinding(Atom) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

getBinding(Atom) - Method in interface edu.umd.cs.psl.model.kernel.GroundKernel

Something about whether GroundAtoms can be removed from this GroundKernel if they have truth value of 0.0...

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

getBinding(Atom) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getBody() - Method in class edu.umd.cs.psl.model.formula.Rule

getBoolean(String, boolean) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a boolean associated with the given configuration key.

getBoolean(String, Boolean) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a Boolean associated with the given configuration key.

getBoolean(String, Boolean) - Method in class edu.umd.cs.psl.config.EmptyBundle

getBoolean(String, boolean) - Method in class edu.umd.cs.psl.config.EmptyBundle

getBundle(String) - Method in class edu.umd.cs.psl.config.ConfigManager

getByte(String, byte) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a byte associated with the given configuration key.

getByte(String, Byte) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a Byte associated with the given configuration key.

getByte(String, byte) - Method in class edu.umd.cs.psl.config.EmptyBundle

getByte(String, Byte) - Method in class edu.umd.cs.psl.config.EmptyBundle

getC() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getCachedAtom(QueryAtom) - Method in class edu.umd.cs.psl.model.atom.AtomCache

Checks whether a GroundAtom matching a QueryAtom exists in the cache and returns it if so.

getCachedAtoms() - Method in class edu.umd.cs.psl.model.atom.AtomCache

getCachedAtoms(Predicate) - Method in class edu.umd.cs.psl.model.atom.AtomCache

Returns all GroundAtoms in this AtomCache with a given Predicate.

getCachedObservedAtoms() - Method in class edu.umd.cs.psl.model.atom.AtomCache

getCachedRandomVariableAtoms() - Method in class edu.umd.cs.psl.model.atom.AtomCache

getCoefficient() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

getCoefficientsArray() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LDAgroundLogLoss

getComparator() - Method in class edu.umd.cs.psl.reasoner.function.ConstraintTerm

getCompatibilityKernels() - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

getCompatibilityKernels() - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

getCompatibilityKernels() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getCompatibilityKernels() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

getCompatibilityKernels() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getCone() - Method in class edu.umd.cs.psl.optimizer.conic.program.Variable

getCones() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getConeTypes() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getConfidence() - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

getConfidence() - Method in interface edu.umd.cs.psl.reasoner.function.FunctionVariable

Returns a confidence value associated with the variable.

getConfidenceValue() - Method in class edu.umd.cs.psl.model.atom.GroundAtom

getConfusionMatrix() - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

Returns a clone (deep copy) of the confusion matrix.

getConicProgramSolver(ConfigBundle) - Method in interface edu.umd.cs.psl.optimizer.conic.ConicProgramSolverFactory

getConicProgramSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPMFactory

getConicProgramSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPMFactory

getConicProgramSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPMFactory

getConicProgramSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPMFactory

getConicProgramSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.PartitionedIPMFactory

getConicProgramSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEKFactory

getConicProgramSolverImplementations() - Method in class edu.umd.cs.psl.optimizer.conic.ConicProgramSolverContractTest

getConicProgramSolverImplementations() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPMTest

getConicProgramSolverImplementations() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPMTest

getConicProgramSolverImplementations() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPMTest

getConnection() - Method in interface edu.umd.cs.psl.database.rdbms.driver.DatabaseDriver

Returns a connection to the database.

getConnection() - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

getConnection() - Method in class edu.umd.cs.psl.database.rdbms.driver.MySQLDriver

getConsensusVariableValue(int) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getConstrainedValue() - Method in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

getConstraintDefinition() - Method in interface edu.umd.cs.psl.model.kernel.GroundConstraintKernel

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundConstraintRule

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

getConstraintDefinition() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getConstraintKernels() - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

getConstraintKernels() - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

getConstraintKernels() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getConstraintKernels() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

getConstraintKernels() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getConstraints() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getConstraintType() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

getCoreObjectiveFunction(FunctionTerm) - Static method in class edu.umd.cs.psl.reasoner.function.util.FunctionAnalyser

Extracts a function from a MaxFunction additionally containing only the constant value zero.

getCorrectAtoms() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getCutConstraints() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getDatabase(Partition, Partition...) - Method in interface edu.umd.cs.psl.database.DataStore

Creates a Database that can read from and write to a Partition and optionally read from additional Partitions.

getDatabase(Partition, Set<StandardPredicate>, Partition...) - Method in interface edu.umd.cs.psl.database.DataStore

Creates a Database that can read from and write to a Partition and optionally read from additional Partitions.

getDatabase(Partition, Partition...) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getDatabase(Partition, Set<StandardPredicate>, Partition...) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getDatabaseDefinitions(Database, List<Collection<Partition>>) - Method in interface edu.umd.cs.psl.util.datasplitter.builddbstep.BuildDBStep

getDatabaseDefinitions(Database, List<Collection<Partition>>) - Method in class edu.umd.cs.psl.util.datasplitter.builddbstep.QueryAtomsBuildDBStep

getDatabaseDefinitions(Database, List<Collection<Partition>>) - Method in class edu.umd.cs.psl.util.datasplitter.builddbstep.SimpleBuildDBStep

getDatabaseID(RDBMSDatabase) - Static method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Registers and returns an ID for a given RDBMSDatabase.

getDataIDs() - Method in interface edu.umd.cs.psl.ui.experiment.folds.SingleLoader

getDataStore() - Method in interface edu.umd.cs.psl.database.Database

getDataStore() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

getDataStore() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

getDataStore() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStoreTest

getDBDefinition() - Method in class edu.umd.cs.psl.util.datasplitter.ExperimentTree

getDegree(A) - Method in class edu.umd.cs.psl.model.set.membership.ConstantMembership

getDegree(A) - Method in interface edu.umd.cs.psl.model.set.membership.Membership

getDegree(A) - Method in class edu.umd.cs.psl.model.set.membership.SoftMembership

getDegree() - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getDiskDatabase(String) - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

getDistribution() - Method in interface edu.umd.cs.psl.evaluation.result.FullConfidenceAnalysisResult

getDistribution() - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullConfidenceAnalysisResult

getDistribution() - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

getDistribution(AtomFunctionVariable) - Method in class edu.umd.cs.psl.sampler.MarginalSampler

getDistributions() - Method in class edu.umd.cs.psl.sampler.MarginalSampler

getDNF() - Method in class edu.umd.cs.psl.model.atom.Atom

getDNF() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

getDNF() - Method in class edu.umd.cs.psl.model.formula.AvgConjunction

getDNF() - Method in class edu.umd.cs.psl.model.formula.Conjunction

getDNF() - Method in class edu.umd.cs.psl.model.formula.Disjunction

getDNF() - Method in interface edu.umd.cs.psl.model.formula.Formula

getDNF() - Method in class edu.umd.cs.psl.model.formula.Negation

getDNF() - Method in class edu.umd.cs.psl.model.formula.Rule

getDNFClause(int) - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis

Returns the specified clause of the Formula after it has been converted to Disjunctive Normal Form.

getDouble(String, double) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a double associated with the given configuration key.

getDouble(String, Double) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a Double associated with the given configuration key.

getDouble(String, Double) - Method in class edu.umd.cs.psl.config.EmptyBundle

getDouble(String, double) - Method in class edu.umd.cs.psl.config.EmptyBundle

getDualIncompatibility(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Computes the incompatibility of the local variable copies corresponding to GroundKernel gk

getDualInfeasibility() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getDualInfeasibility(boolean) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getDualProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

getDualValue() - Method in class edu.umd.cs.psl.optimizer.conic.program.Variable

getEdgeIterator() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getEdgeIterator() - Method in interface edu.umd.cs.psl.util.graph.Node

getEdges() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getEdges() - Method in interface edu.umd.cs.psl.util.graph.Node

getElement(Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getEmptyDouble2DArray() - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

getEnd() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

getEnd() - Method in interface edu.umd.cs.psl.util.graph.Relationship

getEntities(ET) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

getEntities(ET) - Method in class edu.umd.cs.psl.ui.data.graph.Subgraph

getEntity(int, ET) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

getEnum(String, Enum<?>) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Returns an enum associated with the given configuration key.

getEnum(String, Enum<?>) - Method in class edu.umd.cs.psl.config.EmptyBundle

getEpsilonAbs() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getEpsilonRel() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getError() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getError() - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

getError() - Method in interface edu.umd.cs.psl.evaluation.statistics.PredictionStatistics

getErrors() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getEventFramework() - Method in class edu.umd.cs.psl.model.atom.AtomEvent

getExactlyOne() - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

getExpectedTotalWeightedCompatibility(Iterable<GroundCompatibilityKernel>) - Static method in class edu.umd.cs.psl.application.util.GroundKernels

Computes the expected total weighted compatibility (1 - incompatibility) of an iterable container of GroundCompatibilityKernels from independently rounding each RandomVariableAtom to 1.0 or 0.0 with probability equal to its current truth value.

getExpectedTotalWeightedIncompatibility(Iterable<GroundCompatibilityKernel>) - Static method in class edu.umd.cs.psl.application.util.GroundKernels

Computes the expected total weighted incompatibility of an iterable container of GroundCompatibilityKernels from independently rounding each RandomVariableAtom to 1.0 or 0.0 with probability equal to its current truth value.

getExpectedWeightedCompatibility(GroundCompatibilityKernel) - Static method in class edu.umd.cs.psl.application.util.GroundKernels

Computes the expected weighted compatibility (1 - incompatibility) of a GroundCompatibilityKernel from independently rounding each RandomVariableAtom to 1.0 or 0.0 with probability equal to its current truth value.

getExternalFunction() - Method in class edu.umd.cs.psl.model.predicate.ExternalFunctionalPredicate

Returns the ExternalFunction this predicate uses to compute truth values.

getF1(DiscretePredictionStatistics.BinaryClass) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getF1() - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

Returns the overall F1, computed as the weighted average of the per-class F1 scores.

getF1(int) - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

Returns the per-class F1.

getFactory(String, Factory) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Gets a Factory associated with the given configuration key.

getFactory(String, Factory) - Method in class edu.umd.cs.psl.config.EmptyBundle

getFactory() - Static method in class edu.umd.cs.psl.model.predicate.PredicateFactory

getFalseNegatives() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getFalsePositives() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getFirst() - Method in class edu.umd.cs.psl.ui.data.graph.BinaryRelation

getFloat(String, float) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a float associated with the given configuration key.

getFloat(String, Float) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a Float associated with the given configuration key.

getFloat(String, float) - Method in class edu.umd.cs.psl.config.EmptyBundle

getFloat(String, Float) - Method in class edu.umd.cs.psl.config.EmptyBundle

getFormula() - Method in class edu.umd.cs.psl.database.DatabaseQuery

getFormula() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis

getFormula() - Method in class edu.umd.cs.psl.model.formula.Negation

getFormula() - Method in interface edu.umd.cs.psl.model.set.term.BasicSetTerm

getFormula() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

getFormula() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

getFormula() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

getFunction() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

getFunction() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundWeightedCompatibilityRule

getFunction() - Method in class edu.umd.cs.psl.reasoner.function.ConstraintTerm

getFunctionalAtoms() - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

getFunctionalPredicates() - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

getFunctionDefinition() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getFunctionDefinition() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

getFunctionDefinition() - Method in interface edu.umd.cs.psl.model.kernel.GroundCompatibilityKernel

getFunctionDefinition() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundCompatibilityRule

getGrammarFileName() - Method in class edu.umd.cs.psl.parser.PSLLexer

getGrammarFileName() - Method in class edu.umd.cs.psl.parser.PSLParser

getGraphImplementation() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

getGraphImplementation() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryGraphTest

getGreater() - Method in class edu.umd.cs.psl.util.collection.QuickSelector

getGroundKernel(GroundKernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Retrieves the GroundKernel equal to a given one from this store.

getGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

getGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

getGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getGroundKernels() - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

getGroundKernels(Kernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Returns every GroundKernel that was instantiated by a given Kernel.

getGroundKernels() - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

getGroundKernels(Kernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

getGroundKernels() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getGroundKernels(Kernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getGroundKernels() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

getGroundKernels(Kernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

getGroundKernels() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getGroundKernels(Kernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getGroundTruthIDs() - Method in interface edu.umd.cs.psl.ui.experiment.folds.SingleLoader

getHandle(Predicate) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

Helper method for getting a predicate handle

getHead() - Method in class edu.umd.cs.psl.model.formula.Rule

getHistogram(AtomFunctionVariable, int) - Method in interface edu.umd.cs.psl.evaluation.result.FullConfidenceAnalysisResult

getHistogram(AtomFunctionVariable, int) - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullConfidenceAnalysisResult

getHistogram(AtomFunctionVariable, int) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

getID() - Method in class edu.umd.cs.psl.database.Partition

getID() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

getID() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

getId() - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getIncidentGKs() - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

getIncompatibility() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getIncompatibility() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

getIncompatibility() - Method in interface edu.umd.cs.psl.model.kernel.GroundCompatibilityKernel

Returns the incompatibility of the truth values of this GroundKernel's GroundAtoms.

getIncompatibility() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundCompatibilityRule

getIndex(Variable) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getIndex(LinearConstraint) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getIndex(AtomFunctionVariable) - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

getInfeasibility() - Method in interface edu.umd.cs.psl.model.kernel.GroundConstraintKernel

Returns the infeasibility of the truth values of this GroundKernel's GroundAtoms.

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundConstraintRule

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

getInfeasibility() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getInfeasibilityNorm(Iterable<GroundConstraintKernel>) - Static method in class edu.umd.cs.psl.application.util.GroundKernels

Computes the Euclidean norm of the infeasibilities of an iterable container of GroundConstraintKernels.

getInfeasibilityNorm() - Method in interface edu.umd.cs.psl.evaluation.result.FullInferenceResult

getInfeasibilityNorm() - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullInferenceResult

getInfeasibilityNorm() - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

getInnerACopies() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getInnerFunction() - Method in class edu.umd.cs.psl.reasoner.function.PowerOfTwo

getInnerVariables() - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

getInserter(StandardPredicate, Partition) - Method in interface edu.umd.cs.psl.database.DataStore

Creates an Inserter for persisting new GroundAtoms in a Partition.

getInserter(Predicate, Partition) - Method in interface edu.umd.cs.psl.database.loading.DataLoader

getInserter(Predicate, Partition) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataLoader

getInserter(StandardPredicate, Partition) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getInt(String, int) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a int associated with the given configuration key.

getInt(String, int) - Method in class edu.umd.cs.psl.config.EmptyBundle

getInteger(String, Integer) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get an Integer associated with the given configuration key.

getInteger(String, Integer) - Method in class edu.umd.cs.psl.config.EmptyBundle

getInternalID() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

getInternalID() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

getInternalID() - Method in interface edu.umd.cs.psl.model.argument.UniqueID

getKernel() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getKernel() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

getKernel() - Method in interface edu.umd.cs.psl.model.kernel.GroundCompatibilityKernel

getKernel() - Method in interface edu.umd.cs.psl.model.kernel.GroundConstraintKernel

getKernel() - Method in interface edu.umd.cs.psl.model.kernel.GroundKernel

getKernel() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

getKernel() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

getKernel() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

getKernel() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

getKernel() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundCompatibilityRule

getKernel() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundConstraintRule

getKernel() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

getKernel() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getKernel() - Method in class edu.umd.cs.psl.model.ModelEvent

getKernels() - Method in class edu.umd.cs.psl.model.Model

getKLDivergence() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

Computes the KL divergence from the mean field to the distribution p(Z|X,Y), minus a constant (the log partition function plus some constant potentials).

getLagrange() - Method in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

getLagrangianPenalty() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getLatentVariables() - Method in class edu.umd.cs.psl.application.learning.weight.TrainingMap

Gets the set of latent variables created by the constructor.

getLcMap() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getLeaf() - Method in interface edu.umd.cs.psl.model.set.term.BasicSetTerm

getLeaf() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

getLeaf() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

getLeaf() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

getLeafType() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

getLeafType() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

getLeafType() - Method in interface edu.umd.cs.psl.model.set.term.SetTerm

getLeafType() - Method in class edu.umd.cs.psl.model.set.term.SetUnion

getLeafType() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

getLess() - Method in class edu.umd.cs.psl.util.collection.QuickSelector

getLinearConstraints() - Method in class edu.umd.cs.psl.optimizer.conic.program.Variable

getList(String, List<String>) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a List of strings associated with the given configuration key.

getList(String, List<String>) - Method in class edu.umd.cs.psl.config.EmptyBundle

getLocalIndex() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner.VariableLocation

getLogLikelihoodObservations() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundIncompatibilityMetropolisRandOM

getLogLikelihoodObservations() - Method in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilityMetropolisRandOM

getLogLikelihoodObservations() - Method in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilitySliceRandOM

getLogLikelihoodObservations() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

getLogLikelihoodObservations() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

getLogLikelihoodObservations() - Method in class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

getLogLikelihoodSampledWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

getLogLikelihoodSampledWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

getLogLikelihoodSampledWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

getLogLikelihoodSampledWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

getLogLikelihoodSampledWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

getLogLikelihoodSampledWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

getLogProbability() - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

getLong(String, long) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a long associated with the given configuration key.

getLong(String, Long) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a Long associated with the given configuration key.

getLong(String, long) - Method in class edu.umd.cs.psl.config.EmptyBundle

getLong(String, Long) - Method in class edu.umd.cs.psl.config.EmptyBundle

getLoss() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

getManager() - Static method in class edu.umd.cs.psl.config.ConfigManager

getMax() - Static method in class edu.umd.cs.psl.model.ConfidenceValues

getMaxIter() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

getMaxStep(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

getMaxStep(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

getMaxStep(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

getMaxStep(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

getMaxWordIndex() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity.WordVector

getMemoryDatabase(String) - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

getMin() - Static method in class edu.umd.cs.psl.model.ConfidenceValues

getModel() - Method in class edu.umd.cs.psl.model.ModelEvent

getModel() - Method in class edu.umd.cs.psl.parser.PSLModelLoader

getModelFileName() - Method in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

getModelFileName() - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

getModelFileName() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getModeNames() - Method in class edu.umd.cs.psl.parser.PSLLexer

getN() - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

getN() - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

getName() - Method in enum edu.umd.cs.psl.model.argument.ArgumentType

getName() - Method in class edu.umd.cs.psl.model.argument.Variable

getName() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

getName() - Method in class edu.umd.cs.psl.model.predicate.Predicate

Returns the name of this Predicate.

getName() - Method in interface edu.umd.cs.psl.model.set.aggregator.AggregatorFunction

getName() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateConstantSetOverlap

getName() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetAverage

getName() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetCrossEquality

getName() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

getName() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetInverseAverage

getName() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetOverlap

getName() - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

getName() - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

getNegLiterals() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

getNegLiterals() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

getNegLiteralsWeights() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

getNext(int) - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.SimplexSampler

Samples a uniform point on the simplex of dimension d

getNextPartition() - Method in interface edu.umd.cs.psl.database.DataStore

Get the next available partition

getNextPartition() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getNMinus1stVariable() - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

getNodes() - Method in interface edu.umd.cs.psl.util.graph.Edge

getNodes() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

getNodes() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

getNodeSnapshot() - Method in interface edu.umd.cs.psl.util.graph.Graph

getNodeSnapshot() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryGraph

getNodeSnapshotByAttribute(String, Object) - Method in interface edu.umd.cs.psl.util.graph.Graph

getNodeSnapshotByAttribute(String, Object) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryGraph

getNoEdges() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getNoEdges() - Method in interface edu.umd.cs.psl.util.graph.Node

getNoEntities(ET) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

getNonNegativeOrthantCones() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getNoPartitioningTrials() - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

getNoProperties() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getNoProperties() - Method in interface edu.umd.cs.psl.util.graph.Node

getNoRelationships() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getNoRelationships() - Method in interface edu.umd.cs.psl.util.graph.Node

getNormalSystemSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolverFactory

getNormalSystemSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.CholeskyFactory

getNormalSystemSolver(ConfigBundle) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradientFactory

getNormalSystemSolver(ConfigBundle) - Method in interface edu.umd.cs.psl.optimizer.conic.ipm.solver.NormalSystemSolverFactory

getNoSamples() - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

getNthVariable() - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

getNthVariable() - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

getNumAtoms() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getNumAtoms() - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

getNumAtoms() - Method in interface edu.umd.cs.psl.evaluation.statistics.PredictionStatistics

getNumClasses() - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Returns the number of classes (labels).

getNumCones() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getNumDNFClauses() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis

getNumGroundAtoms() - Method in interface edu.umd.cs.psl.evaluation.result.FullInferenceResult

getNumGroundAtoms() - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullInferenceResult

getNumGroundAtoms() - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

getNumGroundEvidence() - Method in interface edu.umd.cs.psl.evaluation.result.FullInferenceResult

getNumGroundEvidence() - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullInferenceResult

getNumGroundEvidence() - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

getNumLinearConstraints() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getNumNNOC() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getNumRegisteredGroundKernels() - Method in class edu.umd.cs.psl.model.atom.GroundAtom

Returns the number of registered ground kernels.

getNumRSOC() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getNumStepsPerSample() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

getNumStepsPerSample() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

getNumStepsPerSample() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

getNumVariables() - Method in class edu.umd.cs.psl.database.DatabaseQuery

getNumVariables() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getNumWords() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity.WordVector

getObjective() - Method in class edu.umd.cs.psl.application.learning.weight.em.LatentObjectiveComputer

Computes primal objective

getObjectiveCoefficient() - Method in class edu.umd.cs.psl.optimizer.conic.program.Variable

getOpenInserter(Predicate) - Method in interface edu.umd.cs.psl.database.loading.DataLoader

getOpenInserter(Predicate) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataLoader

getorCreateEntity(int, ET) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

getorSetIndex(AtomFunctionVariable) - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

getOtherNode(Node) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

getOtherNode(Node) - Method in interface edu.umd.cs.psl.util.graph.Relationship

getParameter(int) - Method in interface edu.umd.cs.psl.model.parameters.Parameters

getParameter(int) - Method in class edu.umd.cs.psl.model.parameters.Weight

getParameters() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

getParameters() - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

getParameters() - Method in interface edu.umd.cs.psl.model.kernel.Kernel

getParameters() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

getParameters() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

getParameters() - Method in interface edu.umd.cs.psl.model.parameters.Parameters

getParameters() - Method in class edu.umd.cs.psl.model.parameters.Weight

getPartialGrounding() - Method in class edu.umd.cs.psl.database.DatabaseQuery

getPartition(int) - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

getPartition(int) - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

getPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

getPartitioner(ConfigBundle) - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitionerFactory

getPartitioner(ConfigBundle) - Method in interface edu.umd.cs.psl.util.graph.partition.PartitionerFactory

getPartitionEstimate() - Method in class edu.umd.cs.psl.sampler.PartitionEstimationSampler

getPersistedRVAtoms() - Method in class edu.umd.cs.psl.model.atom.PersistedAtomManager

getPhi() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

getPool() - Static method in class edu.umd.cs.psl.util.concurrent.ThreadPool

getPos(Variable) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

getPosLiterals() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

getPosLiterals() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

getPosLiteralsWeights() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

getPrecision(DiscretePredictionStatistics.BinaryClass) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getPrecision(int) - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

Returns the per-class precision.

getPrecisionMatrix() - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Returns the precision matrix, computed by normlizing each entry (i,j) the sum of column j.

getPreconditioner(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditionerFactory

getPreconditioner(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.DiagonalPreconditionerFactory

getPreconditioner(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.IdentityPreconditionerFactory

getPreconditioner(ConicProgram) - Method in interface edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.PreconditionerFactory

getPredicate() - Method in class edu.umd.cs.psl.model.atom.Atom

Returns the predicate associated with this Atom.

getPredicate() - Method in class edu.umd.cs.psl.model.atom.RandomVariableAtom

getPredicate() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

getPredicate() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

getPredicate(String) - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

Gets the Predicate with the given name, if it exists

getPredicates() - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

getPrimalInfeasibility() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getPrimalInfeasibility(boolean) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getProjectionSubset() - Method in class edu.umd.cs.psl.database.DatabaseQuery

getProperties() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getProperties(String) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getProperties() - Method in interface edu.umd.cs.psl.util.graph.Node

getProperties(String) - Method in interface edu.umd.cs.psl.util.graph.Node

getPropertyIterator() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getPropertyIterator(String) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getPropertyIterator() - Method in interface edu.umd.cs.psl.util.graph.Node

getPropertyIterator(String) - Method in interface edu.umd.cs.psl.util.graph.Node

getPropertyType() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

getPropertyType() - Method in interface edu.umd.cs.psl.util.graph.Property

getPSLConstraint() - Method in enum edu.umd.cs.psl.groovy.PredicateConstraint

getQueryAtom(Database, Predicate, Object...) - Static method in class edu.umd.cs.psl.util.database.Queries

Constructs a QueryAtom from raw arguments using Queries.convertArguments(Database, Predicate, Object...).

getQueryForAllAtoms(Predicate) - Static method in class edu.umd.cs.psl.util.database.Queries

Returns a DatabaseQuery that matches any GroundAtom of a Predicate.

getQueryFormula() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

getReasoner() - Method in class edu.umd.cs.psl.application.inference.MPEInference

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LtnADMMReasonerFactory

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasonerFactory

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.reasoner.bool.AD3ReasonerFactory

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSatFactory

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.reasoner.bool.BooleanMCSatFactory

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasonerFactory

getReasoner(ConfigBundle) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasonerFactory

getReasoner(ConfigBundle) - Method in interface edu.umd.cs.psl.reasoner.ReasonerFactory

getRecall(DiscretePredictionStatistics.BinaryClass) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getRecall(int) - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

Returns the per-class recall.

getRecallMatrix() - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Returns the recall matrix, computed by normlizing each entry (i,j) the sum of row i.

getRegisteredGroundKernels(Kernel) - Method in class edu.umd.cs.psl.model.atom.GroundAtom

Returns a set of all registered ground kernels that match a given kernel.

getRegisteredGroundKernels() - Method in class edu.umd.cs.psl.model.atom.GroundAtom

Returns a set of all registered ground kernels.

getRegisteredPredicates() - Method in interface edu.umd.cs.psl.database.Database

Returns the set of StandardPredicates registered with this Database.

getRegisteredPredicates() - Method in interface edu.umd.cs.psl.database.DataStore

Returns the set of StandardPredicates registered with this DataStore.

getRegisteredPredicates() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

getRegisteredPredicates() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getRelations(RT) - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getRelations(RT, Subgraph<ET, RT>) - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getRelations(RT) - Method in class edu.umd.cs.psl.ui.data.graph.Subgraph

getRelationshipIterator() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getRelationshipIterator(String) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getRelationshipIterator() - Method in interface edu.umd.cs.psl.util.graph.Node

getRelationshipIterator(String) - Method in interface edu.umd.cs.psl.util.graph.Node

getRelationships() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getRelationships(String) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryNode

getRelationships() - Method in interface edu.umd.cs.psl.util.graph.Node

getRelationships(String) - Method in interface edu.umd.cs.psl.util.graph.Node

getRelationshipType() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

getRelationshipType() - Method in interface edu.umd.cs.psl.util.graph.Relationship

getResultsFileName() - Method in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

getResultsFileName() - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

getResultsFileName() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

getResultVariable(Variable) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

getRotatedSecondOrderCones() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentTypeContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstantContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintTypeContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.IntConstantContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.StrConstantContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.VariableContext

getRuleIndex() - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

getRuleNames() - Method in class edu.umd.cs.psl.parser.PSLLexer

getRuleNames() - Method in class edu.umd.cs.psl.parser.PSLParser

getRVBlocks() - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

getRVMap() - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

getS() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getScore(List<GroundAtom>, List<GroundAtom>) - Method in enum edu.umd.cs.psl.evaluation.statistics.RankingScore

Scores a ranking of Atoms given an expected ranking

getSecond() - Method in class edu.umd.cs.psl.ui.data.graph.BinaryRelation

getSecondOrderCones() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getSetAtom() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

getShort(String, short) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a short associated with the given configuration key.

getShort(String, Short) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a Short associated with the given configuration key.

getShort(String, short) - Method in class edu.umd.cs.psl.config.EmptyBundle

getShort(String, Short) - Method in class edu.umd.cs.psl.config.EmptyBundle

getSimilarityFunctionID(ExternalFunction) - Static method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Registers and returns an ID for a given ExternalFunction.

getSize() - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

getSize() - Method in interface edu.umd.cs.psl.util.graph.partition.Partitioner

Returns the current size of produced partitions

getSizeMultiplier(TermMembership, TermMembership) - Method in interface edu.umd.cs.psl.model.set.aggregator.EntityAggregatorFunction

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateConstantSetOverlap

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetAverage

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetCrossEquality

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetInverseAverage

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetOverlap

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

getSizeMultiplier(TermMembership, TermMembership) - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

getSolution() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

getSparse2DByVars(SparseDoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getSplits(Database, Random) - Method in class edu.umd.cs.psl.util.datasplitter.splitstep.PredicateUniformSplitStep

getSplits(Database, Random) - Method in class edu.umd.cs.psl.util.datasplitter.splitstep.QueryUniformSplitStep

getSplits(Database, Random) - Method in interface edu.umd.cs.psl.util.datasplitter.splitstep.SplitStep

getSQL(Formula) - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

getStandardPredicates() - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

getStart() - Method in interface edu.umd.cs.psl.util.graph.Edge

getStart() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryEdge

getStatistics() - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

getStepSize(int) - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

getStepSize(int) - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

getStoredWeights() - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

getString(String, String) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Get a string associated with the given configuration key.

getString(String, String) - Method in class edu.umd.cs.psl.config.EmptyBundle

getTerm() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner.VariableLocation

getTerm() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

getTestDataGroundTruthIDs() - Method in interface edu.umd.cs.psl.ui.experiment.folds.FoldLoader

getTestDataGroundTruthIDs() - Method in class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

getTestDataIDs() - Method in interface edu.umd.cs.psl.ui.experiment.folds.FoldLoader

getTestDataIDs() - Method in class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

getTheta() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

getThreshold() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics

getTokenNames() - Method in class edu.umd.cs.psl.parser.PSLLexer

getTokenNames() - Method in class edu.umd.cs.psl.parser.PSLParser

getTotalWeightedCompatibility(Iterable<GroundCompatibilityKernel>) - Static method in class edu.umd.cs.psl.application.util.GroundKernels

Sums the total weighted compatibility (1 - incompatibility) of an iterable container of GroundCompatibilityKernels.

getTotalWeightedIncompatibility(Iterable<GroundCompatibilityKernel>) - Static method in class edu.umd.cs.psl.application.util.GroundKernels

Sums the total weighted incompatibility of an iterable container of GroundCompatibilityKernels.

getTotalWeightedIncompatibility() - Method in interface edu.umd.cs.psl.evaluation.result.FullInferenceResult

getTotalWeightedIncompatibility() - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullInferenceResult

getTrainDataGroundTruthIDs() - Method in interface edu.umd.cs.psl.ui.experiment.folds.FoldLoader

getTrainDataGroundTruthIDs() - Method in class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

getTrainDataIDs() - Method in interface edu.umd.cs.psl.ui.experiment.folds.FoldLoader

getTrainDataIDs() - Method in class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

getTrainingMap() - Method in class edu.umd.cs.psl.application.learning.weight.TrainingMap

Gets the map created by the constructor.

getTruthValue(Formula) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

getTruthValue() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

getType(GroundTerm) - Static method in enum edu.umd.cs.psl.model.argument.ArgumentType

getType(Variable) - Method in class edu.umd.cs.psl.model.argument.VariableTypeMap

Returns the type of a given variable.

getType() - Method in class edu.umd.cs.psl.model.atom.AtomEvent

getType() - Method in class edu.umd.cs.psl.model.ModelEvent

getType() - Method in class edu.umd.cs.psl.ui.data.graph.Entity

getType() - Method in class edu.umd.cs.psl.ui.data.graph.Relation

getUnassignedCones() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

getUniqueID(Object) - Method in interface edu.umd.cs.psl.database.Database

Convenience method.

getUniqueID(Object) - Method in interface edu.umd.cs.psl.database.DataStore

Returns a UniqueID based on the given key.

getUniqueID(Object) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

getUniqueID(Object) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getUniqueID(Object) - Method in class edu.umd.cs.psl.database.ReadOnlyDatabase

getUpdater(StandardPredicate, Partition) - Method in interface edu.umd.cs.psl.database.DataStore

Creates an Updater for updating GroundAtoms persisted in a Partition.

getUpdater(StandardPredicate, Partition) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

getV(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

getValue() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.function.NegativeLogFunction

Returns the sum of the logs of the values of the atoms

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.function.NegativeLogFunction

getValue() - Method in interface edu.umd.cs.psl.model.argument.Attribute

getValue() - Method in class edu.umd.cs.psl.model.argument.DateAttribute

getValue() - Method in class edu.umd.cs.psl.model.argument.DoubleAttribute

getValue() - Method in class edu.umd.cs.psl.model.argument.IntegerAttribute

getValue() - Method in class edu.umd.cs.psl.model.argument.LongAttribute

getValue() - Method in class edu.umd.cs.psl.model.argument.StringAttribute

getValue() - Method in class edu.umd.cs.psl.model.atom.GroundAtom

getValue(ReadOnlyDatabase, GroundTerm...) - Method in interface edu.umd.cs.psl.model.function.ExternalFunction

getValue() - Method in class edu.umd.cs.psl.optimizer.conic.program.Variable

getValue() - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

getValue() - Method in class edu.umd.cs.psl.reasoner.function.ConstantNumber

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.reasoner.function.ConstantNumber

getValue() - Method in class edu.umd.cs.psl.reasoner.function.ConstraintTerm

getValue() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

Returns the sum of the FunctionSummand values.

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

getValue() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

Returns the value of the encapsulated FunctionSingleton multiplied by the coefficient.

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

getValue() - Method in interface edu.umd.cs.psl.reasoner.function.FunctionTerm

Returns the term's value

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in interface edu.umd.cs.psl.reasoner.function.FunctionTerm

Returns the term's value using provided values for FunctionVariables.

getValue() - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

Returns the maximum of the values of the functions.

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

getValue() - Method in class edu.umd.cs.psl.reasoner.function.PowerOfTwo

getValue(Map<? extends FunctionVariable, Double>, boolean) - Method in class edu.umd.cs.psl.reasoner.function.PowerOfTwo

getValue(ReadOnlyDatabase, GroundTerm...) - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

getValue(ReadOnlyDatabase, GroundTerm...) - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.DiceSimilarity

getValue(ReadOnlyDatabase, GroundTerm...) - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.LevenshteinSimilarity

getValue(ReadOnlyDatabase, GroundTerm...) - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.SubStringSimilarity

getValue() - Method in class edu.umd.cs.psl.util.collection.QuickSelector

getValueAndGradient(double[], double[]) - Method in interface edu.umd.cs.psl.optimizer.lbfgs.ConvexFunc

Returns the value and gradients with respect to each parameter.

getVariable(int) - Method in class edu.umd.cs.psl.database.DatabaseQuery

Returns the Variable at a given index in this Query's formula according to a depth-first, left-to-right traversal (starting with 0).

getVariable() - Method in class edu.umd.cs.psl.model.atom.GroundAtom

getVariable() - Method in class edu.umd.cs.psl.model.atom.ObservedAtom

getVariable() - Method in class edu.umd.cs.psl.model.atom.RandomVariableAtom

getVariable(Variable) - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Returns the ground term for a given variable.

getVariable() - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

getVariableIndex(Variable) - Method in class edu.umd.cs.psl.database.DatabaseQuery

Returns the index of a Variable in this Query's formula according to a depth-first, left-to-right traversal (starting with 0).

getVariables() - Method in class edu.umd.cs.psl.model.argument.VariableTypeMap

Returns all variables in the hashmap.

getVariables() - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Returns all variables.

getVariables() - Method in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

getVariables() - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

getVariables() - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

getVarMap() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getVarProxy(AtomFunctionVariable) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

getVector(String) - Static method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

getW() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

getWeight() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

getWeight() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

getWeight() - Method in interface edu.umd.cs.psl.model.kernel.CompatibilityKernel

getWeight() - Method in interface edu.umd.cs.psl.model.kernel.GroundCompatibilityKernel

Returns the Weight of this GroundCompatibilityKernel.

getWeight() - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

getWeight() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundCompatibilityRule

getWeight() - Method in class edu.umd.cs.psl.model.parameters.Weight

getWeight(LinearConstraint, Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

getWeight(LinearConstraint, Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientCompletePartitioner

getWeight(LinearConstraint, Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

getWeight(LinearConstraint, Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.WeightedDistanceCompletePartitioner

getWeight(Node) - Method in class edu.umd.cs.psl.util.graph.weight.ConstantOneNodeWeighter

getWeight(Relationship) - Method in class edu.umd.cs.psl.util.graph.weight.HashRelationshipWeighter

getWeight(Node) - Method in interface edu.umd.cs.psl.util.graph.weight.NodeWeighter

getWeight(Node) - Method in class edu.umd.cs.psl.util.graph.weight.PropertyNodeWeighter

getWeight(Relationship) - Method in interface edu.umd.cs.psl.util.graph.weight.RelationshipWeighter

getX() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

gks - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

gks - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

GOEDEL - Static variable in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

Graph<ET extends EntityType,RT extends RelationType> - Class in edu.umd.cs.psl.ui.data.graph

Graph() - Constructor for class edu.umd.cs.psl.ui.data.graph.Graph

Graph - Interface in edu.umd.cs.psl.util.graph

GraphContractTest - Class in edu.umd.cs.psl.util.graph

Contract tests for classes that implement Graph.

GraphContractTest() - Constructor for class edu.umd.cs.psl.util.graph.GraphContractTest

ground(Formula) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

ground(Formula, AtomManager, ResultList) - Static method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

groundAll(AtomManager, GroundKernelStore) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

groundAll(Model, AtomManager, GroundKernelStore) - Static method in class edu.umd.cs.psl.application.util.Grounding

Calls Kernel.groundAll(AtomManager, GroundKernelStore) on each Kernel in a Model.

groundAll(Model, AtomManager, GroundKernelStore, Predicate<Kernel>) - Static method in class edu.umd.cs.psl.application.util.Grounding

Calls Kernel.groundAll(AtomManager, GroundKernelStore) on each Kernel in a Model which passes a filter.

groundAll(AtomManager, GroundKernelStore) - Method in interface edu.umd.cs.psl.model.kernel.Kernel

Adds all missing, potentially unsatisfied GroundKernels to a GroundKernelStore based on an AtomManager.

groundAll(AtomManager, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

groundAll(AtomManager, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

groundAll(AtomManager, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

groundAll(AtomManager, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

GroundAtom - Class in edu.umd.cs.psl.model.atom

An Atom with only GroundTerms for arguments.

GroundAtom(Predicate, GroundTerm[], Database, double, double) - Constructor for class edu.umd.cs.psl.model.atom.GroundAtom

groundAtom(AtomManager, Atom, ResultList, int, VariableAssignment) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

GroundCompatibilityKernel - Interface in edu.umd.cs.psl.model.kernel

GroundCompatibilityRule - Class in edu.umd.cs.psl.model.kernel.rule

GroundConstraintKernel - Interface in edu.umd.cs.psl.model.kernel

GroundConstraintRule - Class in edu.umd.cs.psl.model.kernel.rule

GroundDomainRangeConstraint - Class in edu.umd.cs.psl.model.kernel.predicateconstraint

GroundPredicateConstraint uses a PredicateConstraintKernel as a template and operates on an Entity involved in the associated Predicate, providing the ability to ground Atoms involving the Predicate.

GroundDomainRangeConstraint(DomainRangeConstraintKernel, GroundTerm, double) - Constructor for class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

GroundEmptySetDefinition - Class in edu.umd.cs.psl.model.kernel.setdefinition

GroundEmptySetDefinition(SetDefinitionKernel, GroundAtom, double) - Constructor for class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

groundFormula(AtomManager, GroundKernelStore, ResultList, VariableAssignment) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

groundFormula(AtomManager, GroundKernelStore, ResultList, VariableAssignment) - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

groundFormulaInstance(List<GroundAtom>, List<GroundAtom>) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

groundFormulaInstance(List<GroundAtom>, List<GroundAtom>) - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

groundFormulaInstance(List<GroundAtom>, List<GroundAtom>) - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

groundFormulaInstance(List<GroundAtom>, List<GroundAtom>) - Method in class edu.umd.cs.psl.model.kernel.rule.ConstraintRuleKernel

GroundIncompatibilityMetropolisRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A GroundMetropolisRandOM learning algorithm which scores the likelihood of a sample using the distance in total (unweighted) incompatibility space grouped by CompatibilityKernel between the sample and the observations.

GroundIncompatibilityMetropolisRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.GroundIncompatibilityMetropolisRandOM

Grounding - Class in edu.umd.cs.psl.application.util

Static utilities for common Model-grounding tasks.

Grounding() - Constructor for class edu.umd.cs.psl.application.util.Grounding

GroundKernel - Interface in edu.umd.cs.psl.model.kernel

A function that either constrains or measures the compatibility of the truth values of GroundAtoms.

groundKernels - Variable in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

GroundKernels - Class in edu.umd.cs.psl.application.util

Static utilities for common GroundKernel tasks.

GroundKernels() - Constructor for class edu.umd.cs.psl.application.util.GroundKernels

groundKernels - Variable in class edu.umd.cs.psl.reasoner.ExecutableReasoner

Ground kernels defining the objective function

GroundKernelStore - Interface in edu.umd.cs.psl.application.groundkernelstore

Container for a set of GroundKernels.

GroundLinearConstraint - Class in edu.umd.cs.psl.model.kernel.linearconstraint

A linear constraint on the truth values of GroundAtoms

GroundLinearConstraint(GroundAtom[], double[], FunctionComparator, double) - Constructor for class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

GroundLogLoss - Class in edu.umd.cs.psl.application.topicmodel.kernel

Ground log loss kernels, useful when PSL variables are given a probabilistic interpretation, as in latent topic networks.

GroundLogLoss(CompatibilityKernel, List<GroundAtom>, List<Double>) - Constructor for class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

GroundMetropolisRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A MetropolisRandOM learning algorithm that samples a different weight for each GroundCompatibilityKernel but all those with the same parent CompatibilityKernel share a mean and a variance.

GroundMetropolisRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

GroundSetDefinition - Class in edu.umd.cs.psl.model.kernel.setdefinition

A fuzzy formula atom is a particular type of formula atom that allows its truth values to be in the range from 0 to 1.

GroundSliceRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A SliceRandOM learning algorithm that samples a different weight for each GroundCompatibilityKernel but all those with the same parent CompatibilityKernel share a mean and a variance.

GroundSliceRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

GroundSymmetryConstraint - Class in edu.umd.cs.psl.model.kernel.predicateconstraint

Constrains two GroundAtoms to be equal.

GroundSymmetryConstraint(ConstraintKernel, GroundAtom, GroundAtom) - Constructor for class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

GroundTerm - Interface in edu.umd.cs.psl.model.argument

A Term that is ground, i.e., not a Variable.

GroundValueConstraint - Class in edu.umd.cs.psl.model.kernel.linearconstraint

A simple constraint that fixes the truth value of a RandomVariableAtom

GroundValueConstraint(RandomVariableAtom, double) - Constructor for class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

GroundWeightedCompatibilityRule - Class in edu.umd.cs.psl.model.kernel.rule

A Ground Compatibility Rule with weights on the literals

groundWeightedFormulaInstance(List<GroundAtom>, List<GroundAtom>, List<Double>, List<Double>) - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

gtNumSOC() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

H

H2DatabaseDriver - Class in edu.umd.cs.psl.database.rdbms.driver

H2DatabaseDriver(H2DatabaseDriver.Type, String, boolean) - Constructor for class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

Constructor for the H2 database driver.

H2DatabaseDriver.Type - Enum in edu.umd.cs.psl.database.rdbms.driver

HardEM - Class in edu.umd.cs.psl.application.learning.weight.em

EM algorithm which fits a point distribution to the single most probable assignment of truth values to the latent variables during the E-step.

HardEM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.em.HardEM

HardEMRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

Learns new weights for the CompatibilityKernels in a Model using hard EM RandOM learning.

HardEMRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

hasAttributes() - Method in interface edu.umd.cs.psl.ui.data.graph.EntityType

HasAttributes - Class in edu.umd.cs.psl.ui.data.graph

HasAttributes(boolean) - Constructor for class edu.umd.cs.psl.ui.data.graph.HasAttributes

hasAttributes() - Method in interface edu.umd.cs.psl.ui.data.graph.RelationType

hashCode() - Method in class edu.umd.cs.psl.database.Partition

hashCode() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

hashCode() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

hashCode() - Method in class edu.umd.cs.psl.database.ReadOnlyDatabase

hashCode() - Method in class edu.umd.cs.psl.model.argument.DateAttribute

hashCode() - Method in class edu.umd.cs.psl.model.argument.DoubleAttribute

hashCode() - Method in class edu.umd.cs.psl.model.argument.IntegerAttribute

hashCode() - Method in class edu.umd.cs.psl.model.argument.LongAttribute

hashCode() - Method in class edu.umd.cs.psl.model.argument.StringAttribute

hashCode() - Method in interface edu.umd.cs.psl.model.argument.Term

hashCode() - Method in class edu.umd.cs.psl.model.argument.Variable

hashcode - Variable in class edu.umd.cs.psl.model.atom.Atom

hashCode() - Method in class edu.umd.cs.psl.model.atom.Atom

hashCode() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

hashCode() - Method in class edu.umd.cs.psl.model.formula.Negation

hashCode() - Method in class edu.umd.cs.psl.model.formula.Rule

hashCode() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

hashCode() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

hashCode() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

hashCode() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

hashCode() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

hashCode() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

hashCode() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

hashCode() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

hashCode() - Method in class edu.umd.cs.psl.model.predicate.Predicate

hashCode() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

hashCode() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

hashCode() - Method in class edu.umd.cs.psl.model.set.term.SetUnion

hashCode() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

hashCode() - Method in class edu.umd.cs.psl.optimizer.conic.program.Entity

hashCode() - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

hashCode() - Method in class edu.umd.cs.psl.ui.data.graph.BinaryRelation

hashCode() - Method in class edu.umd.cs.psl.ui.data.graph.Entity

hashCode() - Method in class edu.umd.cs.psl.ui.data.graph.Relation

HashList<E> - Class in edu.umd.cs.psl.util.collection

HashList() - Constructor for class edu.umd.cs.psl.util.collection.HashList

HashList(int) - Constructor for class edu.umd.cs.psl.util.collection.HashList

HashRelationshipWeighter - Class in edu.umd.cs.psl.util.graph.weight

HashRelationshipWeighter() - Constructor for class edu.umd.cs.psl.util.graph.weight.HashRelationshipWeighter

hasNext() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

hasNextFold() - Method in interface edu.umd.cs.psl.ui.experiment.folds.MultiFoldLoader

hasType(ET) - Method in class edu.umd.cs.psl.ui.data.graph.Entity

hasType(RT) - Method in class edu.umd.cs.psl.ui.data.graph.Relation

hasVariable(Variable) - Method in class edu.umd.cs.psl.model.argument.VariableTypeMap

Returns whether the given variable exists in the hashmap.

hasVariable(Variable) - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Returns whether the given variable is assigned in this assignment.

head - Variable in class edu.umd.cs.psl.model.formula.Rule

The fuzzy singleton that is the head of the rule

HierarchicalPartitioner - Class in edu.umd.cs.psl.optimizer.conic.partition

HierarchicalPartitioner(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

HierarchicalPartitioning - Class in edu.umd.cs.psl.util.graph.partition.hierarchical

HierarchicalPartitioning(int) - Constructor for class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

HierarchicalPartitioning() - Constructor for class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

HINGE_LOSS_PHI_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for HINGE_LOSS_PHI_KEY

HINGE_LOSS_PHI_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for Boolean property indicating whether to use a hinge-loss MRF to model phi.

HINGE_LOSS_THETA_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for HINGE_LOSS_THETA_KEY

HINGE_LOSS_THETA_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for Boolean property indicating whether to use a hinge-loss MRF to model theta.

HingeLossTermTest - Class in edu.umd.cs.psl.reasoner.admm

HingeLossTermTest() - Constructor for class edu.umd.cs.psl.reasoner.admm.HingeLossTermTest

histogramString(AtomFunctionVariable, int, int) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

histogramStrings(Predicate, int) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

HitAndRunSamplerStatistics - Class in edu.umd.cs.psl.sampler

HomogeneousIPM - Class in edu.umd.cs.psl.optimizer.conic.ipm

Primal-dual interior-point method using the self-dual homogeneous model.

HomogeneousIPM(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

HomogeneousIPMFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm

HomogeneousIPMFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPMFactory

HomogeneousIPMTest - Class in edu.umd.cs.psl.optimizer.conic.ipm

HomogeneousIPMTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPMTest

HyperPartitioning - Class in edu.umd.cs.psl.util.graph.partition.hierarchical

HyperPartitioning() - Constructor for class edu.umd.cs.psl.util.graph.partition.hierarchical.HyperPartitioning

I

id - Variable in class edu.umd.cs.psl.optimizer.conic.program.Entity

ID_ARG - Static variable in class edu.umd.cs.psl.parser.PSLLexer

ID_ARG - Static variable in class edu.umd.cs.psl.parser.PSLParser

IDENTIFIER - Static variable in class edu.umd.cs.psl.parser.PSLLexer

IDENTIFIER - Static variable in class edu.umd.cs.psl.parser.PSLParser

IDENTIFIER() - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateContext

IDENTIFIER() - Method in class edu.umd.cs.psl.parser.PSLParser.VariableContext

IdentityPreconditionerFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner

Factory for constructing DoubleIdentity preconditioners.

IdentityPreconditionerFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.IdentityPreconditionerFactory

immutableKernels - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

IMPLIEDBY - Static variable in class edu.umd.cs.psl.parser.PSLLexer

IMPLIEDBY() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

IMPLIEDBY - Static variable in class edu.umd.cs.psl.parser.PSLParser

include(String[]) - Method in interface edu.umd.cs.psl.ui.data.file.util.DelimitedObjectConstructor.Filter

IncompatibilityMetropolisRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A FirstOrderMetropolisRandOM learning algorithm which scores the likelihood of a sample using the distance in total (unweighted) incompatibility space grouped by CompatibilityKernel between the sample and the observations.

IncompatibilityMetropolisRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.IncompatibilityMetropolisRandOM

IncompatibilitySliceRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A FirstOrderSliceRandOM learning algorithm which scores the likelihood of a sample using the distance in total (unweighted) incompatibility space grouped by CompatibilityKernel between the sample and the observations.

IncompatibilitySliceRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.IncompatibilitySliceRandOM

increment(double) - Method in class edu.umd.cs.psl.util.concurrent.AtomicDouble

indexOf(Object) - Method in class edu.umd.cs.psl.util.collection.HashList

INFEASIBILITY_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for INFEASIBILITY_THRESHOLD_KEY property.

INFEASIBILITY_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Default value for INFEASIBILITY_THRESHOLD_KEY property.

INFEASIBILITY_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for double property.

INFEASIBILITY_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Key for double property.

infeasibilityThreshold - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

InferenceResult - Interface in edu.umd.cs.psl.evaluation.result

inferLatentVariables() - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Infers the most probable assignment to the latent variables conditioned on the observations and labeled unknowns using the most recently learned model.

INIT_FEASIBLE_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Default value for INIT_FEASIBLE_KEY property

INIT_FEASIBLE_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

Key for boolean property.

INIT_MSTEP_TO_LDA_PHI_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for INIT_MSTEP_TO_LDA_PHI_KEY

INIT_MSTEP_TO_LDA_PHI_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for Boolean property indicating whether to initialize the ADMM variables to LDA, for phi.

INIT_MSTEP_TO_LDA_THETA_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for INIT_MSTEP_TO_LDA_THETA_KEY

INIT_MSTEP_TO_LDA_THETA_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for Boolean property indicating whether to initialize the ADMM variables to LDA, for theta.

initAsDirichlet() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.NegativeLogLossTerm

initDirichletTerms() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

initDualVariablesAsDirichlet(double) - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LtnLinearConstraintTerm

initFeasible - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.LazyMaxLikelihoodMPE

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Note: calls super.initGroundModel() first, in order to ground model.

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

initGroundModel() - Method in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Constructs a ground model using model and trainingMap, and stores the resulting GroundKernels in reasoner.

initGroundModel() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Note: calls super.initGroundModel() first, in order to ground model.

initGroundModel() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Note: calls super.initGroundModel() first, in order to ground model.

INITIAL_VARIANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Default value for INITIAL_VARIANCE_KEY

INITIAL_VARIANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Default value for INITIAL_VARIANCE_KEY

INITIAL_VARIANCE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Key for positive double to be used as the initial variance for each Kernel's weight

INITIAL_VARIANCE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Key for positive double to be used as the initial variance for each Kernel's weight

initialize() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

initializeForReasoner(Reasoner, PersistedAtomManager, Model, Database, double[][], double[][], Predicate) - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

initializer - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

initialVariance - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

initialVariance - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

insert(Object...) - Method in interface edu.umd.cs.psl.database.loading.Inserter

insert(Partition, Object...) - Method in interface edu.umd.cs.psl.database.loading.OpenInserter

Inserter - Interface in edu.umd.cs.psl.database.loading

InserterLookup - Interface in edu.umd.cs.psl.ui.loading

InserterLookupMap - Class in edu.umd.cs.psl.ui.loading

InserterLookupMap() - Constructor for class edu.umd.cs.psl.ui.loading.InserterLookupMap

InserterUtils - Class in edu.umd.cs.psl.ui.loading

Utility methods for common data-loading tasks.

InserterUtils() - Constructor for class edu.umd.cs.psl.ui.loading.InserterUtils

insertValue(double, Object...) - Method in interface edu.umd.cs.psl.database.loading.Inserter

insertValue(Partition, double, Object...) - Method in interface edu.umd.cs.psl.database.loading.OpenInserter

insertValue(Partition, double, double, Object...) - Method in interface edu.umd.cs.psl.database.loading.OpenInserter

insertValueConfidence(double, double, Object...) - Method in interface edu.umd.cs.psl.database.loading.Inserter

InSetFilter - Class in edu.umd.cs.psl.evaluation.statistics.filter

InSetFilter(Set<GroundAtom>) - Constructor for class edu.umd.cs.psl.evaluation.statistics.filter.InSetFilter

instantiateObservedAtom(Predicate, GroundTerm[], double, double) - Method in class edu.umd.cs.psl.model.atom.AtomCache

Instantiates an ObservedAtom and stores it in this AtomCache.

instantiateRandomVariableAtom(StandardPredicate, GroundTerm[], double, double) - Method in class edu.umd.cs.psl.model.atom.AtomCache

Instantiates a RandomVariableAtom and stores it in this AtomCache.

INT_ARG - Static variable in class edu.umd.cs.psl.parser.PSLLexer

INT_ARG - Static variable in class edu.umd.cs.psl.parser.PSLParser

intConstant() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstantContext

intConstant() - Method in class edu.umd.cs.psl.parser.PSLParser

IntegerAttribute - Class in edu.umd.cs.psl.model.argument

An Attribute that encapsulates an Integer.

IntegerAttribute(Integer) - Constructor for class edu.umd.cs.psl.model.argument.IntegerAttribute

Constructs an Integer attribute from an Integer

Inv - Static variable in enum edu.umd.cs.psl.groovy.syntax.OIPModifier

INVERSE_FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

INVERSE_FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLParser

INVERSE_PARTIAL_FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

INVERSE_PARTIAL_FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLParser

invertPartitions(Collection<Partition>, Set<Partition>) - Static method in class edu.umd.cs.psl.util.datasplitter.builddbstep.PartitionSetUtils

IPM - Class in edu.umd.cs.psl.optimizer.conic.ipm

Primal-dual short-step interior point method.

IPM(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.IPM

IPMFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm

IPMFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.IPMFactory

IPMTest - Class in edu.umd.cs.psl.optimizer.conic.ipm

IPMTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.IPMTest

isClosed(StandardPredicate) - Method in class edu.umd.cs.psl.application.learning.weight.TrainingMap

isClosed(StandardPredicate) - Method in interface edu.umd.cs.psl.database.Database

Returns whether a StandardPredicate is closed in this Database.

isClosed(StandardPredicate) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

isClosed(StandardPredicate) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

isClosed(StandardPredicate) - Method in interface edu.umd.cs.psl.model.atom.AtomManager

Calls Database.isClosed(StandardPredicate) on the encapsulated Database.

isClosed(StandardPredicate) - Method in class edu.umd.cs.psl.model.atom.PersistedAtomManager

isClosed(StandardPredicate) - Method in class edu.umd.cs.psl.model.atom.SimpleAtomManager

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.ConstantAtomFunctionVariable

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.ConstantNumber

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

isConstant() - Method in interface edu.umd.cs.psl.reasoner.function.FunctionTerm

Returns whether the term is constant.

isConstant() - Method in interface edu.umd.cs.psl.reasoner.function.FunctionVariable

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.MutableAtomFunctionVariable

isConstant() - Method in class edu.umd.cs.psl.reasoner.function.PowerOfTwo

isEmpty() - Method in class edu.umd.cs.psl.util.collection.HashList

isGround() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

isIncidentOn(Node) - Method in interface edu.umd.cs.psl.util.graph.Edge

isIncidentOn(Node) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

isIncidentOn(Node) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

isInstance(GroundTerm) - Method in enum edu.umd.cs.psl.model.argument.ArgumentType

Returns whether a GroundTerm is of the type identified by this ArgumentType

isInterior(Map<Variable, Integer>, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

isInterior(Map<Variable, Integer>, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

isInterior(Map<Variable, Integer>, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

isInterior(Map<Variable, Integer>, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

isLinear() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.function.NegativeLogFunction

isLinear() - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

isLinear() - Method in class edu.umd.cs.psl.reasoner.function.ConstantNumber

isLinear() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

isLinear() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

isLinear() - Method in interface edu.umd.cs.psl.reasoner.function.FunctionTerm

Returns whether the term is linear in its Variables.

isLinear() - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

isLinear() - Method in class edu.umd.cs.psl.reasoner.function.PowerOfTwo

isMember(A) - Method in class edu.umd.cs.psl.model.set.membership.ConstantMembership

isMember(A) - Method in interface edu.umd.cs.psl.model.set.membership.Membership

isMember(A) - Method in class edu.umd.cs.psl.model.set.membership.SoftMembership

isProperty() - Method in interface edu.umd.cs.psl.util.graph.Edge

isProperty() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

isProperty() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

isQueriable() - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

isRelationship() - Method in interface edu.umd.cs.psl.util.graph.Edge

isRelationship() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryProperty

isRelationship() - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

isSelfLoop(Node) - Method in class edu.umd.cs.psl.util.graph.memory.MemoryRelationship

isSelfLoop(Node) - Method in interface edu.umd.cs.psl.util.graph.Relationship

isSimpleObjectiveFunction(FunctionTerm) - Static method in class edu.umd.cs.psl.reasoner.function.util.FunctionAnalyser

Returns whether a function has a core function.

isSingleton(Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

isSoft() - Method in class edu.umd.cs.psl.ui.data.graph.Relation

isSoft() - Method in interface edu.umd.cs.psl.ui.data.graph.RelationType

isSupportExternalFunction() - Method in interface edu.umd.cs.psl.database.rdbms.driver.DatabaseDriver

Returns whether the underline database supports external java functions.

isSupportExternalFunction() - Method in class edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver

isSupportExternalFunction() - Method in class edu.umd.cs.psl.database.rdbms.driver.MySQLDriver

isSymmetric() - Method in interface edu.umd.cs.psl.ui.data.graph.RelationType

isValid(double) - Static method in class edu.umd.cs.psl.model.ConfidenceValues

isWeightMutable() - Method in interface edu.umd.cs.psl.model.kernel.CompatibilityKernel

isWeightMutable() - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Default value for ITER_KEY property

ITER_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Key for positive int property for the number of iterations of expectation maximization to perform

iterations - Variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

iterator() - Method in class edu.umd.cs.psl.model.set.membership.ConstantMembership

iterator() - Method in class edu.umd.cs.psl.model.set.membership.SoftMembership

iterator() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

iterator() - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

iterator() - Method in class edu.umd.cs.psl.util.collection.HashList

iterator() - Method in class edu.umd.cs.psl.util.datasplitter.ExperimentTree

K

Kernel - Interface in edu.umd.cs.psl.model.kernel

A template for functions that either constrain or measure the compatibility of the truth values of GroundAtoms.

kernel - Variable in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

kernel() - Method in class edu.umd.cs.psl.parser.PSLParser

kernel(int) - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

kernel() - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

kernelMeans - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

kernelMeans - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

kernels - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

kernels - Variable in class edu.umd.cs.psl.model.Model

kernelSet - Variable in class edu.umd.cs.psl.model.Model

Redundant set for fast membership checks

kernelVariances - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

kernelVariances - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

KLdivergence(AtomFunctionVariable, int, FullConfidenceAnalysisResult) - Method in interface edu.umd.cs.psl.evaluation.result.FullConfidenceAnalysisResult

KLdivergence(AtomFunctionVariable, int, FullConfidenceAnalysisResult) - Method in class edu.umd.cs.psl.evaluation.result.memory.MemoryFullConfidenceAnalysisResult

KLdivergence(AtomFunctionVariable, int, FullConfidenceAnalysisResult) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

L

l - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

l - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

L1_DIMENSION_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

Default value for L1_DIMENSION_KEY

L1_DIMENSION_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

Key for positive double to be used as dimension of L1 ball around ground truth

L1_REGULARIZATION_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for L1_REGULARIZATION_KEY

L1_REGULARIZATION_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for positive double property scaling the L1 regularization \gamma * |w|

l1Dimension - Variable in class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

L1MaxMargin - Class in edu.umd.cs.psl.application.learning.weight.maxmargin

Max-margin learning with l1 loss function.

L1MaxMargin(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

L1MaxMargin.LossBalancingType - Enum in edu.umd.cs.psl.application.learning.weight.maxmargin

Types of loss balancing L1MaxMargin can use during learning

l1Regularization - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

L2_REGULARIZATION_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for L2_REGULARIZATION_KEY

L2_REGULARIZATION_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for positive double property scaling the L2 regularization (\lambda / 2) * ||w||^2

l2Regularization - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

lastIndexOf(Object) - Method in class edu.umd.cs.psl.util.collection.HashList

LatentObjectiveComputer - Class in edu.umd.cs.psl.application.learning.weight.em

LatentObjectiveComputer(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.em.LatentObjectiveComputer

LatentTopicNetwork - Class in edu.umd.cs.psl.application.topicmodel

Latent Topic Networks, a framework which jointly reasons over a PSL model with a topic model, as published in: J.R.

LatentTopicNetwork(Model, Database, Model, Database, int[][], int[][], int, String[], String[], String[], DataStore, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

LatentTopicNetwork(Model, Database, Model, Database, int[][], int[][], int, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

A convenience constructor with fewer required fields which can be used when not performing weight learning.

LatentTopicNetworkADMMReasoner - Class in edu.umd.cs.psl.application.topicmodel.reasoner.admm

Wrapper around the ADMM reasoner which adds a little functionality needed for latent topic networks.

LatentTopicNetworkADMMReasoner(ConfigBundle) - Constructor for class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

LatentTopicNetworkMaxPseudoLikelihood - Class in edu.umd.cs.psl.application.topicmodel

Learns weights by optimizing the pseudo-log-likelihood of the data.

LatentTopicNetworkMaxPseudoLikelihood(Model, Database, Database, ConfigBundle, double, Predicate) - Constructor for class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Constructor

LatentTopicNetworkMaxPseudoLikelihood_Naive - Class in edu.umd.cs.psl.application.topicmodel

Learns weights by optimizing the pseudo-log-likelihood of the data.

LatentTopicNetworkMaxPseudoLikelihood_Naive(Model, Database, Database, ConfigBundle, double, Predicate) - Constructor for class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Constructor

latentVariableReasoner - Variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

A reasoner for inferring the latent variables conditioned on the observations and labels

LazyMaxLikelihoodMPE - Class in edu.umd.cs.psl.application.learning.weight.maxlikelihood

Voted perceptron algorithm that does not require a ground model of pre-specified dimensionality.

LazyMaxLikelihoodMPE(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.LazyMaxLikelihoodMPE

Constructs a new weight learner.

LazyMPEInference - Class in edu.umd.cs.psl.application.inference

Infers the most-probable explanation (MPE) state of the RandomVariableAtoms persisted in a Database, according to a Model, given the Database's ObservedAtoms.

LazyMPEInference(Model, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.inference.LazyMPEInference

LazyMPEInference.IntermidateState - Class in edu.umd.cs.psl.application.inference

Intermediate state object to notify the registered observers.

LazyMPEInference.IntermidateState(int, int, int) - Constructor for class edu.umd.cs.psl.application.inference.LazyMPEInference.IntermidateState

lb - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Lower bounds on variables

LBFGSB - Class in edu.umd.cs.psl.optimizer.lbfgs

LBFGSB(int, double, int, ConvexFunc) - Constructor for class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

lcMap - Variable in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

lcMap - Variable in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

LDAgroundLogLoss - Class in edu.umd.cs.psl.application.topicmodel.kernel

Ground log loss kernels for LDA.

LDAgroundLogLoss(CompatibilityKernel, List<GroundAtom>, List<Double>, double[]) - Constructor for class edu.umd.cs.psl.application.topicmodel.kernel.LDAgroundLogLoss

LdaMStep() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

learn() - Method in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

The RandomVariableAtoms in the distribution are those persisted in the Database when this method is called.

learn() - Method in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Learns new weights.

learn(Map<GroundTerm[], double[]>, Map<Variable, int[]>, Map<GroundTerm, GroundTerm[]>...) - Method in interface edu.umd.cs.psl.model.function.LearnableExternalFunction

LearnableExternalFunction - Interface in edu.umd.cs.psl.model.function

length() - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Returns the number of classes (labels).

length() - Method in interface edu.umd.cs.psl.ui.data.file.util.DelimitedObjectConstructor

length() - Method in class edu.umd.cs.psl.ui.data.file.util.ListIntegerConstructor

LevenshteinSimilarity - Class in edu.umd.cs.psl.ui.functions.textsimilarity

LevenshteinSimilarity() - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.LevenshteinSimilarity

LevenshteinSimilarity(double) - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.LevenshteinSimilarity

LINE_COMMENT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

LINE_COMMENT - Static variable in class edu.umd.cs.psl.parser.PSLParser

LinearConstraint - Class in edu.umd.cs.psl.optimizer.conic.program

LinearConstraintTerm - Class in edu.umd.cs.psl.reasoner.admm

ADMMReasoner objective term of the form
0 if coeffs^T * x [?] constant
infinity otherwise
where [?] is ==, >=, or <=

LinearConstraintTerm(ADMMReasoner, int[], double[], double, FunctionComparator) - Constructor for class edu.umd.cs.psl.reasoner.admm.LinearConstraintTerm

LinearConstraintTermTest - Class in edu.umd.cs.psl.reasoner.admm

LinearConstraintTermTest() - Constructor for class edu.umd.cs.psl.reasoner.admm.LinearConstraintTermTest

LinearLossTermTest - Class in edu.umd.cs.psl.reasoner.admm

LinearLossTermTest() - Constructor for class edu.umd.cs.psl.reasoner.admm.LinearLossTermTest

LinearSampler - Class in edu.umd.cs.psl.sampler

LinearSampler(int, int) - Constructor for class edu.umd.cs.psl.sampler.LinearSampler

LinkClosure - Class in edu.umd.cs.psl.util.datasplitter.closurestep

Performs link closure.

LinkClosure(Predicate, Predicate, boolean) - Constructor for class edu.umd.cs.psl.util.datasplitter.closurestep.LinkClosure

ListIntegerConstructor - Class in edu.umd.cs.psl.ui.data.file.util

ListIntegerConstructor(int) - Constructor for class edu.umd.cs.psl.ui.data.file.util.ListIntegerConstructor

listIterator() - Method in class edu.umd.cs.psl.util.collection.HashList

listIterator(int) - Method in class edu.umd.cs.psl.util.collection.HashList

literals - Variable in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

loadClassArbitraryArgs(String, Class<V>) - Static method in class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

loadClassArbitraryArgs(String, Map<String, Class<? extends V>>, Class<V>) - Static method in class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

loadClassWithArgs(String, String[], Class<V>) - Static method in class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

loadClassWithArgs(Class<? extends V>, String[], Class<V>) - Static method in class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

loadData(DataLoader) - Method in interface edu.umd.cs.psl.ui.experiment.folds.SingleLoader

LoadDelimitedData - Class in edu.umd.cs.psl.ui.data.file.util

LoadDelimitedData() - Constructor for class edu.umd.cs.psl.ui.data.file.util.LoadDelimitedData

loadDelimitedData(Inserter, String, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

loadDelimitedData(Inserter, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

loadDelimitedDataTruth(Inserter, String, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

loadDelimitedDataTruth(Inserter, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

loadDelimitedMultiData(InserterLookup, int, String, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

loadDelimitedMultiData(InserterLookup, int, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

loadEntityAttributes(String, ET, String[], boolean) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

loadEntityAttributes(String, ET, String[], DelimitedObjectConstructor.Filter, boolean) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

loadFactEntityIntersectionTable(Inserter, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

Calls {InserterUtils.loadFactEntityIntersectionTable(Inserter, String, String) with default delimiter.

loadFactEntityIntersectionTable(Inserter, String, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

Loads facts from a table represented as delimited values in a file.

loadFactIntersectionTable(Inserter, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

Calls {InserterUtils.loadFactIntersectionTable(Inserter, String, String) with default delimiter.

loadFactIntersectionTable(Inserter, String, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

Loads facts from a table represented as delimited values in a file.

loadFactTable(DataStore, String, Partition) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

Calls {#loadFactTable(PredicateFactory, DataStore, String, Partition, String) with default delimiter.

loadFactTable(DataStore, String, Partition, String) - Static method in class edu.umd.cs.psl.ui.loading.InserterUtils

Loads a table of facts.

loadIntegerData(String, int, int) - Static method in class edu.umd.cs.psl.ui.data.file.util.LoadDelimitedData

loadIntegerData(String, String, int, int) - Static method in class edu.umd.cs.psl.ui.data.file.util.LoadDelimitedData

loadModel(String, DataStore) - Static method in class edu.umd.cs.psl.parser.PSLModelLoader

loads a model from the file system

loadNextFold(DataLoader) - Method in interface edu.umd.cs.psl.ui.experiment.folds.MultiFoldLoader

loadRelationship(String, RT, ET[], boolean[]) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

loadRelationship(String, String[], RT, ET[], boolean[]) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

loadRelationship(String, String[], RT, ET[], DelimitedObjectConstructor.Filter, boolean[]) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

loadResource(String) - Method in class edu.umd.cs.psl.config.ConfigManager

loadTabData(String, DelimitedObjectConstructor<O>, String) - Static method in class edu.umd.cs.psl.ui.data.file.util.LoadDelimitedData

loadTabData(String, DelimitedObjectConstructor<O>) - Static method in class edu.umd.cs.psl.ui.data.file.util.LoadDelimitedData

loadTest(DataLoader) - Method in interface edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoader

loadTest(DataLoader) - Method in class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

loadTrain(DataLoader) - Method in interface edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoader

loadTrain(DataLoader) - Method in class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

logLikelihood() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Compute LDA training log-likelihood.

LogLoss - Class in edu.umd.cs.psl.application.topicmodel.kernel

First order log loss kernels, useful when PSL variables are given a probabilistic interpretation, as in latent topic networks.

LogLoss() - Constructor for class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

LongAttribute - Class in edu.umd.cs.psl.model.argument

An Attribute that encapsulates a Double.

LongAttribute(Long) - Constructor for class edu.umd.cs.psl.model.argument.LongAttribute

Constructs a Double attribute from a Double

LossAugmentingGroundKernel - Class in edu.umd.cs.psl.application.learning.weight.maxmargin

Special ground kernel that penalizes being close to a fixed value of 1.0 or 0.0.

LossAugmentingGroundKernel(GroundAtom, double, Weight) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

LOWER_BOUND_EPSILON_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

Default value for LOWER_BOUND_EPSILON_KEY property

LOWER_BOUND_EPSILON_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

Key for positive double property.

lowerBoundEpsilon - Variable in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LatentTopicNetworkADMMReasoner

LtnADMMReasonerFactory - Class in edu.umd.cs.psl.application.topicmodel.reasoner.admm

A factory for creating the latent topic networks wrapper for the ADMM reasoner.

LtnADMMReasonerFactory() - Constructor for class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LtnADMMReasonerFactory

LtnLinearConstraintTerm - Class in edu.umd.cs.psl.application.topicmodel.reasoner.admm

A LinearConstraintTerm that supports smart initialization for latent topic networks.

LtnLinearConstraintTerm(ADMMReasoner, int[], double[], double, FunctionComparator) - Constructor for class edu.umd.cs.psl.application.topicmodel.reasoner.admm.LtnLinearConstraintTerm

LUKASIEWICZ - Static variable in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

M

main(String[]) - Static method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.SimplexSampler

main(String[]) - Static method in class edu.umd.cs.psl.optimizer.lbfgs.Timer

main(String[]) - Static method in class edu.umd.cs.psl.util.collection.QuickSelector

makeDualFeasible() - Method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializer

makeFeasible() - Method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializer

makePrimalFeasible() - Method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializer

MarginalSampler - Class in edu.umd.cs.psl.sampler

MarginalSampler() - Constructor for class edu.umd.cs.psl.sampler.MarginalSampler

MarginalSampler(int) - Constructor for class edu.umd.cs.psl.sampler.MarginalSampler

MarginalSampler(int, int) - Constructor for class edu.umd.cs.psl.sampler.MarginalSampler

MAX_FLIPS_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

Default value for MAX_FLIPS_KEY

MAX_FLIPS_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

Key for positive integer property that is the maximum number of flips to try during optimization

MAX_INNER_ITER - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Key for maximum iterations

MAX_INNER_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Default value for MAX_INNER_ITER

MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Default value for MAX_ITER_KEY

MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Default value for MAX_ITER_KEY

MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Default value for MAX_ITER_KEY

MAX_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Default value for MAX_ITER_KEY property

MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Key for positive integer, maximum number of constraints to add to quadratic program

MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Key for maximum iterations of Monte Carlo EM

MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Key for maximum iterations of Monte Carlo EM

MAX_ITER_KEY - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Key for int property for the maximum number of iterations of ADMM to perform in a round of inference

MAX_OUTER_ITER - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Key for maximum iterations

MAX_OUTER_ITER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Default value for MAX_OUTER_ITER

MAX_ROUNDS_DEFAULT - Static variable in class edu.umd.cs.psl.application.inference.LazyMPEInference

Default value for MAX_ROUNDS_KEY property

MAX_ROUNDS_KEY - Static variable in class edu.umd.cs.psl.application.inference.LazyMPEInference

Key for int property for the maximum number of rounds of inference.

MaxFunction - Class in edu.umd.cs.psl.reasoner.function

Selects the maximum value among FunctionTerms.

MaxFunction() - Constructor for class edu.umd.cs.psl.reasoner.function.MaxFunction

maxIter - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

maxIter - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

maxIter - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

maxIter - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

MaxLikelihoodMPE - Class in edu.umd.cs.psl.application.learning.weight.maxlikelihood

Learns weights by optimizing the log likelihood of the data using the voted perceptron algorithm.

MaxLikelihoodMPE(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxLikelihoodMPE

MaxMargin - Class in edu.umd.cs.psl.application.learning.weight.maxmargin

Learns new weights for the CompatibilityKernels in a Model using max-margin learning.

MaxMargin(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

MaxMargin.NormScalingType - Enum in edu.umd.cs.psl.application.learning.weight.maxmargin

Types of norm scaling MaxMargin can use during learning

maxNumSteps - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

maxNumSteps - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

MaxPseudoLikelihood - Class in edu.umd.cs.psl.application.learning.weight.maxlikelihood

Learns weights by optimizing the pseudo-log-likelihood of the data using the voted perceptron algorithm.

MaxPseudoLikelihood(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Constructor

maxRounds - Variable in class edu.umd.cs.psl.application.inference.LazyMPEInference.IntermidateState

maxStep - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron.IntermediateState

MaxValueFilter - Class in edu.umd.cs.psl.evaluation.statistics.filter

MaxValueFilter(Predicate, int) - Constructor for class edu.umd.cs.psl.evaluation.statistics.filter.MaxValueFilter

means - Variable in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

Membership<A> - Interface in edu.umd.cs.psl.model.set.membership

MemoryEdge - Class in edu.umd.cs.psl.util.graph.memory

MemoryFullConfidenceAnalysisResult - Class in edu.umd.cs.psl.evaluation.result.memory

MemoryFullConfidenceAnalysisResult(Map<AtomFunctionVariable, DoubleDist>) - Constructor for class edu.umd.cs.psl.evaluation.result.memory.MemoryFullConfidenceAnalysisResult

MemoryFullInferenceResult - Class in edu.umd.cs.psl.evaluation.result.memory

MemoryFullInferenceResult(double, double, int, int) - Constructor for class edu.umd.cs.psl.evaluation.result.memory.MemoryFullInferenceResult

MemoryGraph - Class in edu.umd.cs.psl.util.graph.memory

MemoryGraph() - Constructor for class edu.umd.cs.psl.util.graph.memory.MemoryGraph

MemoryGraphTest - Class in edu.umd.cs.psl.util.graph.memory

MemoryGraphTest() - Constructor for class edu.umd.cs.psl.util.graph.memory.MemoryGraphTest

MemoryGroundKernelStore - Class in edu.umd.cs.psl.application.groundkernelstore

A simple GroundKernelStore that just stores each GroundKernel in memory.

MemoryGroundKernelStore() - Constructor for class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

MemoryNode - Class in edu.umd.cs.psl.util.graph.memory

MemoryProperty - Class in edu.umd.cs.psl.util.graph.memory

MemoryRelationship - Class in edu.umd.cs.psl.util.graph.memory

MetropolisRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

Abstract class that learns new weights for the CompatibilityKernels in a Model using Metropolis MCEM RandOM learning.

MetropolisRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

MIN_WIDTH_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Default value for MIN_WIDTH_KEY

MIN_WIDTH_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Default value for MIN_WIDTH_KEY

MIN_WIDTH_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Default value for MIN_WIDTH_KEY

MIN_WIDTH_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Key for positive double property.

MIN_WIDTH_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Key for positive double property.

MIN_WIDTH_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Key for positive double property.

minimize() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.NegativeLogLossTerm

minimize(int, double[], int[], boolean[]) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

minimize(double[], int[], boolean[]) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

minimize() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

Updates x to the solution of
argmin f(x) + stepSize / 2 * \|x - z + y / stepSize \|_2^2
for the objective term f(x)

minimize() - Method in class edu.umd.cs.psl.reasoner.admm.LinearConstraintTerm

minimizeKLDivergence() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

minimizeKLDivergence() - Method in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

minimizeKLDivergence() - Method in class edu.umd.cs.psl.application.learning.weight.em.HardEM

Minimizes the KL divergence by setting the latent variables to their most probable state conditioned on the evidence and the labeled random variables.

minimizeKLDivergence() - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

Minimizes the KL divergence by setting the latent variables to their most probable state conditioned on the evidence and the labeled random variables.

MinNormProgram - Class in edu.umd.cs.psl.application.learning.weight.maxmargin

(for now) Solves convex programs of the form min ||weights .* x - origin||^2 + f'x s.t.

MinNormProgram(int, boolean, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

model - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Model - Class in edu.umd.cs.psl.model

A probabilistic soft logic model.

Model() - Constructor for class edu.umd.cs.psl.model.Model

Sole constructor.

MODEL_HEADER - Static variable in class edu.umd.cs.psl.parser.PSLLexer

MODEL_HEADER - Static variable in class edu.umd.cs.psl.parser.PSLParser

ModelApplication - Interface in edu.umd.cs.psl.application

Combines Models with Databases to perform a task, such as inference or learning.

ModelEvent - Class in edu.umd.cs.psl.model

An event related to a Model.

ModelEvent(ModelEvent.Type, Model, Kernel) - Constructor for class edu.umd.cs.psl.model.ModelEvent

Constructs a new ModelEvent with associated properties.

ModelEvent.Listener - Interface in edu.umd.cs.psl.model

A listener for ModelEvents.

ModelEvent.Type - Enum in edu.umd.cs.psl.model

Types of ModelEvents

modelObservers - Variable in class edu.umd.cs.psl.model.Model

modeNames - Static variable in class edu.umd.cs.psl.parser.PSLLexer

monitor - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

MOSEK - Class in edu.umd.cs.psl.optimizer.conic.mosek

MOSEK(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

MOSEKFactory - Class in edu.umd.cs.psl.optimizer.conic.mosek

MOSEKFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.mosek.MOSEKFactory

MPE_INITIALIZATION_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

Default value for MPE_INITIALIZATION_KEY property

MPE_INITIALIZATION_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

Key for Boolean property.

mpeInference() - Method in class edu.umd.cs.psl.application.inference.LazyMPEInference

Minimizes the total weighted incompatibility of the GroundAtoms in the Database according to the Model and commits the updated truth values back to the Database.

MPEInference - Class in edu.umd.cs.psl.application.inference

Infers the most-probable explanation (MPE) state of the RandomVariableAtoms persisted in a Database, according to a Model, given the Database's ObservedAtoms.

MPEInference(Model, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.inference.MPEInference

mpeInference() - Method in class edu.umd.cs.psl.application.inference.MPEInference

Minimizes the total weighted incompatibility of the GroundAtoms in the Database according to the Model and commits the updated truth values back to the Database.

mpeInference(Reasoner, PersistedAtomManager, Model, Database, double[][], double[][], Predicate) - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Minimizes the total weighted incompatibility of the GroundAtoms in the Database according to the Model and commits the updated truth values back to the Database.

mpeInit - Variable in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

mStep(boolean) - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

MU_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for MU_THRESHOLD_KEY property.

MU_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for double property.

MulticlassPredictionComparator - Class in edu.umd.cs.psl.evaluation.statistics

Computes statistics for multiclass prediction.

MulticlassPredictionComparator(Database) - Constructor for class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionComparator

Constructor

MulticlassPredictionStatistics - Class in edu.umd.cs.psl.evaluation.statistics

MulticlassPredictionStatistics(ConfusionMatrix) - Constructor for class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionStatistics

MultiFoldLoader - Interface in edu.umd.cs.psl.ui.experiment.folds

mutable - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

MutableAtomFunctionVariable - Class in edu.umd.cs.psl.reasoner.function

Encapsulates the value of a RandomVariableAtom for use in numeric functions.

MutableAtomFunctionVariable(RandomVariableAtom) - Constructor for class edu.umd.cs.psl.reasoner.function.MutableAtomFunctionVariable

MySQLDriver - Class in edu.umd.cs.psl.database.rdbms.driver

MySQL Connection Wrapper.

MySQLDriver(String, boolean) - Constructor for class edu.umd.cs.psl.database.rdbms.driver.MySQLDriver

Constructor for the MySQL database driver On Performance: Use the non-memory specific model, innodb as default (Note one can change to use MyISAM or Memory engine.

N

Negation - Class in edu.umd.cs.psl.model.formula

This class implements fuzzy negation.

Negation(Formula) - Constructor for class edu.umd.cs.psl.model.formula.Negation

negation(double) - Method in enum edu.umd.cs.psl.model.formula.Tnorm

NegativeLogFunction - Class in edu.umd.cs.psl.application.topicmodel.reasoner.function

Computes minus the sum of the logs of the terms of FunctionSummands.

NegativeLogFunction() - Constructor for class edu.umd.cs.psl.application.topicmodel.reasoner.function.NegativeLogFunction

NegativeLogLossTerm - Class in edu.umd.cs.psl.application.topicmodel.reasoner.admm

ADMMReasoner objective term of the form
weight * coeffs^T * -log(x)

NegativeWeight - Class in edu.umd.cs.psl.model.parameters

NegativeWeight() - Constructor for class edu.umd.cs.psl.model.parameters.NegativeWeight

NegativeWeight(double) - Constructor for class edu.umd.cs.psl.model.parameters.NegativeWeight

negLiterals - Variable in class edu.umd.cs.psl.model.formula.AvgConjRule

negLiterals - Variable in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

negLiterals - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

negLiteralsWeights - Variable in class edu.umd.cs.psl.model.formula.AvgConjRule

negLiteralsWeights - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

negLiteralsWeights - Variable in class edu.umd.cs.psl.model.kernel.rule.GroundWeightedCompatibilityRule

next() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

nextGroundKernel - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

nextKernel - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

nextKernel - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

noCallBacksKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

Node - Interface in edu.umd.cs.psl.util.graph

NodeWeighter - Interface in edu.umd.cs.psl.util.graph.weight

noDimensionsKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

noEqConsKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

NoFilter - Static variable in interface edu.umd.cs.psl.evaluation.statistics.filter.AtomFilter

NoFilter - Static variable in interface edu.umd.cs.psl.ui.data.file.util.DelimitedObjectConstructor

noIneqConsKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

NOISE_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

Default value for NOISE_KEY

NOISE_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

Key for double property in [0,1] that is the probability of randomly perturbing an atom in a randomly chosen potential

NONNEGATIVE_WEIGHTS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for NONNEGATIVE_WEIGHTS_KEY

NONNEGATIVE_WEIGHTS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Default value for NONNEGATIVE_WEIGHTS_KEY

NONNEGATIVE_WEIGHTS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for boolean property.

NONNEGATIVE_WEIGHTS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Key for boolean property.

NonNegativeOrthantCone - Class in edu.umd.cs.psl.optimizer.conic.program

nonnegativeWeights - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

nonnegativeWeights - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

NonSymmetric - Static variable in class edu.umd.cs.psl.model.predicate.SpecialPredicate

True if the first argument is less than the second.

noObjFunKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

NoParameters - Static variable in interface edu.umd.cs.psl.model.parameters.Parameters

noreducedDimKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

NORMAL_SYS_SOLVER_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for NORMAL_SYS_SOLVER_KEY.

NORMAL_SYS_SOLVER_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for Factory or String property.

NormalSystemSolver - Interface in edu.umd.cs.psl.optimizer.conic.ipm.solver

Solves the systems of normal equations that arise in interior-point methods.

NormalSystemSolverFactory - Interface in edu.umd.cs.psl.optimizer.conic.ipm.solver

Factory for a NormalSystemSolver.

normProgram - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

noSamplesKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

NOT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

NOT() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

NOT - Static variable in class edu.umd.cs.psl.parser.PSLParser

NotEqual - Static variable in class edu.umd.cs.psl.model.predicate.SpecialPredicate

True if arguments are not equal.

NOTEQUAL - Static variable in class edu.umd.cs.psl.parser.PSLLexer

NOTEQUAL() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

NOTEQUAL - Static variable in class edu.umd.cs.psl.parser.PSLParser

notify(ConicProgram, ConicProgramEvent, Entity, Object...) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

notify(ConicProgram, ConicProgramEvent, Entity, Object...) - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

notify(ConicProgram, ConicProgramEvent, Entity, Object...) - Method in interface edu.umd.cs.psl.optimizer.conic.program.ConicProgramListener

notify(ConicProgram, ConicProgramEvent, Entity, Object...) - Method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

notify(ConicProgram, ConicProgramEvent, Entity, Object...) - Method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializer

notifyAtomEvent(AtomEvent) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

notifyAtomEvent(AtomEvent) - Method in interface edu.umd.cs.psl.model.atom.AtomEvent.Listener

Notifies this object of an AtomEvent.

notifyAtomEvent(AtomEvent) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

notifyAtomEvent(AtomEvent, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

Handles an AtomEvent using the specified GroundKernelStore.

notifyAtomEvent(AtomEvent, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

notifyAtomEvent(AtomEvent, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

Listens for the consideration of a RandomVariableAtom.

notifyAtomEvent(AtomEvent, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

notifyAtomEvent(AtomEvent, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

notifyKernelParametersModified(Kernel) - Method in class edu.umd.cs.psl.model.Model

Notifies this Model that a Kernel's parameters were modified.

notifyModelEvent(ModelEvent) - Method in interface edu.umd.cs.psl.model.ModelEvent.Listener

Notifies this object of a ModelEvent.

noTimesInCornerKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

nullInserter - Static variable in interface edu.umd.cs.psl.database.loading.Inserter

NUM_BURN_IN_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

Default value for NUM_BURN_IN_KEY

NUM_BURN_IN_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

Number of burn-in samples

NUM_BURNIN_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for NUM_BURNIN_KEY

NUM_BURNIN_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive integer property indicating the number of vanilla LDA EM iterations to perform before using hinge losses in the M step.

NUM_ITERATIONS_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for NUM_ITERATIONS_KEY

NUM_ITERATIONS_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive integer property indicating the number of EM iterations to perform.

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

Default value for NUM_SAMPLES_KEY

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

Positive integer key for the number of samples to collect for confidence analysis.

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.MaxPseudoLikelihood

Key for positive integer property.

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Key for length of Markov chain

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Key for length of Markov chain

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood

Key for positive integer property.

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetworkMaxPseudoLikelihood_Naive

Key for positive integer property.

NUM_SAMPLES_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

Key for length of Markov chain

NUM_STEPS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for NUM_STEPS_KEY

NUM_STEPS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for positive integer property.

NUM_THREADS_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Default value for NUM_THREADS_KEY property.

NUM_THREADS_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Default value for STOP_CHECK_KEY property (by default uses the number of processors in the system)

NUM_THREADS_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Key for integer property.

NUM_THREADS_KEY - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Key for positive integer.

NUM_TOPICS_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for NUM_TOPICS_KEY

NUM_TOPICS_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive integer property indicating the number of EM iterations to perform.

numActivated - Variable in class edu.umd.cs.psl.application.inference.LazyMPEInference.IntermidateState

NUMBER - Static variable in class edu.umd.cs.psl.parser.PSLLexer

NUMBER() - Method in class edu.umd.cs.psl.parser.PSLParser.IntConstantContext

NUMBER - Static variable in class edu.umd.cs.psl.parser.PSLParser

NUMBER() - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

NumericUtilities - Class in edu.umd.cs.psl.model

NumericUtilities() - Constructor for class edu.umd.cs.psl.model.NumericUtilities

numGroundings - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

numGroundings - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundIncompatibilityMetropolisRandOM

numGroundings - Variable in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilityMetropolisRandOM

numGroundings - Variable in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilitySliceRandOM

numParameters() - Method in interface edu.umd.cs.psl.model.parameters.Parameters

numParameters() - Method in class edu.umd.cs.psl.model.parameters.Weight

numSamples - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

numSamples - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

numSteps - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

O

ObjectiveCoefficientCompletePartitioner - Class in edu.umd.cs.psl.optimizer.conic.partition

ObjectiveCoefficientCompletePartitioner(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientCompletePartitioner

ObjectiveCoefficientPartitioner - Class in edu.umd.cs.psl.optimizer.conic.partition

ObjectiveCoefficientPartitioner(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

OBSERVATION_DENSITY_SCALE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Default value for OBSERVATION_DENSITY_SCALE_KEY

OBSERVATION_DENSITY_SCALE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Default value for OBSERVATION_DENSITY_SCALE_KEY

OBSERVATION_DENSITY_SCALE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Key for positive double property to divide the unnormalized log likelihood of observations (unless this behavior is overridden by an implementation).

OBSERVATION_DENSITY_SCALE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Key for positive double property to divide the unnormalized log likelihood of observations (unless this behavior is overridden by an implementation).

observationScale - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

observationScale - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

ObservedAtom - Class in edu.umd.cs.psl.model.atom

A GroundAtom with a fixed truth value and a confidence value of infinity.

ObservedAtom(Predicate, GroundTerm[], Database, double, double) - Constructor for class edu.umd.cs.psl.model.atom.ObservedAtom

observedDB - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

obsvIncompatibilities - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundIncompatibilityMetropolisRandOM

obsvIncompatibilities - Variable in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilityMetropolisRandOM

obsvIncompatibilities - Variable in class edu.umd.cs.psl.application.learning.weight.random.IncompatibilitySliceRandOM

of(FunctionTerm...) - Static method in class edu.umd.cs.psl.reasoner.function.MaxFunction

Constructs a MaxFunction term containing the specified terms.

OIPModifier - Enum in edu.umd.cs.psl.groovy.syntax

ON - Static variable in class edu.umd.cs.psl.parser.PSLLexer

ON - Static variable in class edu.umd.cs.psl.parser.PSLParser

OPENBRACE - Static variable in class edu.umd.cs.psl.parser.PSLLexer

OPENBRACE - Static variable in class edu.umd.cs.psl.parser.PSLParser

OPENBRACE() - Method in class edu.umd.cs.psl.parser.PSLParser.WeightContext

OpenInserter - Interface in edu.umd.cs.psl.database.loading

OPENPAR - Static variable in class edu.umd.cs.psl.parser.PSLLexer

OPENPAR - Static variable in class edu.umd.cs.psl.parser.PSLParser

optimize() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

optimize() - Method in class edu.umd.cs.psl.reasoner.bool.BooleanMaxWalkSat

optimize() - Method in class edu.umd.cs.psl.reasoner.bool.BooleanMCSat

optimize() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

optimize() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

optimize() - Method in interface edu.umd.cs.psl.reasoner.Reasoner

Minimizes the total weighted incompatibility of the this Reasoner's GroundCompatibilityKernels such that the infeasibility of its GroundConstraintKernels is (close to) zero by optimizing the RandomVariableAtoms.

optimizeEnergyFunction() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

OR - Static variable in class edu.umd.cs.psl.parser.PSLLexer

OR() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

OR - Static variable in class edu.umd.cs.psl.parser.PSLParser

OutOfBoundsFilter - Class in edu.umd.cs.psl.evaluation.statistics.filter

OutOfBoundsFilter(double[]) - Constructor for class edu.umd.cs.psl.evaluation.statistics.filter.OutOfBoundsFilter

outputModel(String, Model) - Static method in class edu.umd.cs.psl.parser.PSLModelLoader

Print a Model in the proper format for reading

P

p - Variable in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

PairedDualLearner - Class in edu.umd.cs.psl.application.learning.weight.em

Learns the parameters of a HL-MRF with latent variables, using a maximum-likelihood technique that interleaves updates of the parameters and inference steps for fast training.

PairedDualLearner(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

ParallelPartitionedIPM - Class in edu.umd.cs.psl.optimizer.conic.ipm

ParallelPartitionedIPM(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPM

ParallelPartitionedIPMFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm

ParallelPartitionedIPMFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPMFactory

Parameters - Interface in edu.umd.cs.psl.model.parameters

parse(String) - Static method in enum edu.umd.cs.psl.groovy.syntax.OIPModifier

parseArguments(String) - Static method in class edu.umd.cs.psl.util.dynamicclass.DynamicClassLoader

PARTIAL_FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

PARTIAL_FUNCTIONAL_CONSTRAINT - Static variable in class edu.umd.cs.psl.parser.PSLParser

Partition - Class in edu.umd.cs.psl.database

Identifier for a subset of GroundAtoms in a DataStore.

Partition(int) - Constructor for class edu.umd.cs.psl.database.Partition

Sole constructor.

partition - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

partition - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

partition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

partition() - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

partition - Variable in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

partition(Graph, Iterable<? extends Node>, RelationshipWeighter) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

partition(Graph, Iterable<? extends Node>, RelationshipWeighter, List<? extends Collection<Node>>) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

partition(Graph, Iterable<? extends Node>, RelationshipWeighter, NodeWeighter, List<? extends Collection<Node>>) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

partition(Graph, Iterable<? extends Node>, RelationshipWeighter, List<? extends Collection<Node>>) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HyperPartitioning

partition(Graph, Iterable<? extends Node>, RelationshipWeighter, NodeWeighter, List<? extends Collection<Node>>) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HyperPartitioning

partition(Graph, Iterable<? extends Node>, RelationshipWeighter) - Method in interface edu.umd.cs.psl.util.graph.partition.Partitioner

Partition the set of nodes into the specified number of blocks aiming to minimize the edge cut as specified by the RelationshipWeighter.

partition(Graph, Iterable<? extends Node>, RelationshipWeighter, List<? extends Collection<Node>>) - Method in interface edu.umd.cs.psl.util.graph.partition.Partitioner

Partition the set of nodes into the specified number of blocks aiming to minimize the edge cut as specified by the RelationshipWeighter.

PARTITION_COLUMN_DEFAULT - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Default value for the PARTITION_COLUMN_KEY property

PARTITION_COLUMN_KEY - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Key for String property for the name of the partition column in the database.

partitionColumn() - Method in interface edu.umd.cs.psl.database.rdbms.RDBMSPredicateHandle

PartitionedIPM - Class in edu.umd.cs.psl.optimizer.conic.ipm

PartitionedIPM(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.PartitionedIPM

PartitionedIPMFactory - Class in edu.umd.cs.psl.optimizer.conic.ipm

PartitionedIPMFactory() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.PartitionedIPMFactory

Partitioner - Interface in edu.umd.cs.psl.util.graph.partition

PartitionerFactory - Interface in edu.umd.cs.psl.util.graph.partition

PartitionEstimationSampler - Class in edu.umd.cs.psl.sampler

PartitionEstimationSampler() - Constructor for class edu.umd.cs.psl.sampler.PartitionEstimationSampler

PartitionEstimationSampler(int) - Constructor for class edu.umd.cs.psl.sampler.PartitionEstimationSampler

PartitionEstimationSampler(int, int) - Constructor for class edu.umd.cs.psl.sampler.PartitionEstimationSampler

partitions - Variable in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

PartitionSetUtils - Class in edu.umd.cs.psl.util.datasplitter.builddbstep

PartitionSetUtils() - Constructor for class edu.umd.cs.psl.util.datasplitter.builddbstep.PartitionSetUtils

PersistedAtomManager - Class in edu.umd.cs.psl.model.atom

Implements the AtomManager with a twist: this AtomManager will only return RandomVariableAtoms that were persisted in the Database at instantiation.

PersistedAtomManager(Database) - Constructor for class edu.umd.cs.psl.model.atom.PersistedAtomManager

Constructs a PersistedAtomManager with a built-in set of all the database's persisted RandomVariableAtoms.

pop() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

pop() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

populate(QueryAtom, Map<Variable, Set<GroundTerm>>) - Method in class edu.umd.cs.psl.database.DatabasePopulator

Substitutes the Variables from the substitution map into a QueryAtom and commits the resulting RandomVariableAtoms into the Database provided to the constructor.

populateFromDB(Database, Predicate) - Method in class edu.umd.cs.psl.database.DatabasePopulator

Populates the Predicate p using all of the groudings of p in the source Database sourceDB.

PositiveWeight - Class in edu.umd.cs.psl.model.parameters

PositiveWeight() - Constructor for class edu.umd.cs.psl.model.parameters.PositiveWeight

PositiveWeight(double) - Constructor for class edu.umd.cs.psl.model.parameters.PositiveWeight

posLiterals - Variable in class edu.umd.cs.psl.model.formula.AvgConjRule

posLiterals - Variable in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

posLiterals - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

posLiteralsWeights - Variable in class edu.umd.cs.psl.model.formula.AvgConjRule

posLiteralsWeights - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

posLiteralsWeights - Variable in class edu.umd.cs.psl.model.kernel.rule.GroundWeightedCompatibilityRule

PowerOfTwo - Class in edu.umd.cs.psl.reasoner.function

A FunctionTerm raised to the power of two.

PowerOfTwo(FunctionTerm) - Constructor for class edu.umd.cs.psl.reasoner.function.PowerOfTwo

PRECONDITIONER_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Default value for PRECONDITIONER_KEY.

PRECONDITIONER_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

Key for Factory or String property.

PRECONDITIONER_TERMS_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Default value for PRECONDITIONER_TERMS_KEY property

PRECONDITIONER_TERMS_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Key for non-negative integer property.

PreconditionerFactory - Interface in edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner

Factory for a preconditioner.

predicate() - Method in interface edu.umd.cs.psl.database.rdbms.RDBMSPredicateHandle

predicate - Variable in class edu.umd.cs.psl.model.atom.Atom

Predicate - Class in edu.umd.cs.psl.model.predicate

A relation that can be applied to Terms to form Atoms.

predicate() - Method in class edu.umd.cs.psl.parser.PSLParser.AtomContext

predicate() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

predicate() - Method in class edu.umd.cs.psl.parser.PSLParser

predicate() - Method in class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

PredicateConstraint - Enum in edu.umd.cs.psl.groovy

predicateDefinition() - Method in class edu.umd.cs.psl.parser.PSLParser

predicateDefinition(int) - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

predicateDefinition() - Method in class edu.umd.cs.psl.parser.PSLParser.ProgramContext

PredicateFactory - Class in edu.umd.cs.psl.model.predicate

The factory for Predicates.

PredicateUniformSplitStep - Class in edu.umd.cs.psl.util.datasplitter.splitstep

PredicateUniformSplitStep(StandardPredicate, int, int) - Constructor for class edu.umd.cs.psl.util.datasplitter.splitstep.PredicateUniformSplitStep

Constructor for splitting by GroundTerms

PredicateUniformSplitStep(StandardPredicate, int) - Constructor for class edu.umd.cs.psl.util.datasplitter.splitstep.PredicateUniformSplitStep

Constructor for splitting by GroundAtoms.

PredictionComparator - Interface in edu.umd.cs.psl.evaluation.statistics

Computes statistics by comparing the truth value of each RandomVariableAtom in the results Database with that of the corresponding ObservedAtom in a baseline.

PredictionStatistics - Interface in edu.umd.cs.psl.evaluation.statistics

Statistics computed by a PredictionComparator.

PrematureConvergenceException - Exception in edu.umd.cs.psl.optimizer.lbfgs

PrematureConvergenceException(String) - Constructor for exception edu.umd.cs.psl.optimizer.lbfgs.PrematureConvergenceException

prepareBlocks(boolean) - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

prepareForRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

prepareForRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

prepareForRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

prepareForRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

prepareForRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

prepareForRound() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Presolver - Class in edu.umd.cs.psl.optimizer.conic.util

Utility methods for modifying a ConicProgram.

Presolver() - Constructor for class edu.umd.cs.psl.optimizer.conic.util.Presolver

previousWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

previousWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

previousWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

previousWeights - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

PRIMAL_FEASIBILITY_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Default value for PRIMAL_FEASIBILITY_THRESHOLD_KEY property.

PRIMAL_FEASIBILITY_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Key for double property.

printAtom(Atom) - Method in interface edu.umd.cs.psl.evaluation.resultui.printer.AtomPrintStream

printAtom(Atom) - Method in class edu.umd.cs.psl.evaluation.resultui.printer.DefaultAtomPrintStream

printAtoms(Predicate) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

printAtoms(Predicate, double) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

printAtoms(Predicate) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

printAtoms(Predicate, AtomPrintStream) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

printDistributions(Predicate) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

printHistograms(Predicate) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

printTime(PrintStream, long) - Static method in class edu.umd.cs.psl.optimizer.lbfgs.Timer

Print time as days, hours, mins, secs.

processAcceptedPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

processAcceptedPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientCompletePartitioner

processAcceptedPartition() - Method in class edu.umd.cs.psl.optimizer.conic.partition.WeightedDistanceCompletePartitioner

processHyperplane(FunctionSum) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

processNewDimension(AtomFunctionVariable, int) - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

processNewDimension(AtomFunctionVariable, int) - Method in class edu.umd.cs.psl.sampler.DerivativeSampler

processNewDimension(AtomFunctionVariable, int) - Method in class edu.umd.cs.psl.sampler.MarginalSampler

processNewDimension(AtomFunctionVariable, int) - Method in class edu.umd.cs.psl.sampler.PartitionEstimationSampler

processSample() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

processSample() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

processSample() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

processSampledPoint(Iterable<GroundKernel>) - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

processSampledPoint(Iterable<GroundKernel>) - Method in class edu.umd.cs.psl.sampler.DerivativeSampler

processSampledPoint(Iterable<GroundKernel>) - Method in class edu.umd.cs.psl.sampler.MarginalSampler

processSampledPoint(Iterable<GroundKernel>) - Method in class edu.umd.cs.psl.sampler.PartitionEstimationSampler

PRODUCT - Static variable in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

program - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

program - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

program - Variable in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

program - Variable in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

program - Variable in class edu.umd.cs.psl.optimizer.conic.program.Entity

program() - Method in class edu.umd.cs.psl.parser.PSLParser

Property - Interface in edu.umd.cs.psl.util.graph

PropertyNodeWeighter - Class in edu.umd.cs.psl.util.graph.weight

PropertyNodeWeighter(String) - Constructor for class edu.umd.cs.psl.util.graph.weight.PropertyNodeWeighter

PROPOSAL_VARIANCE - Static variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

Key for positive double to be used as variance in proposal distribution

PROPOSAL_VARIANCE - Static variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

Key for positive double to be used as variance in proposal distribution

PROPOSAL_VARIANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

Default value for PROPOSAL_VARIANCE

PROPOSAL_VARIANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

Default value for PROPOSAL_VARIANCE

proposalVariance - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

proposalVariance - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

PSLBaseListener - Class in edu.umd.cs.psl.parser

This class provides an empty implementation of PSLListener, which can be extended to create a listener which only needs to handle a subset of the available methods.

PSLBaseListener() - Constructor for class edu.umd.cs.psl.parser.PSLBaseListener

PSLBaseVisitor<T> - Class in edu.umd.cs.psl.parser

This class provides an empty implementation of PSLVisitor, which can be extended to create a visitor which only needs to handle a subset of the available methods.

PSLBaseVisitor() - Constructor for class edu.umd.cs.psl.parser.PSLBaseVisitor

PSLLexer - Class in edu.umd.cs.psl.parser

PSLLexer(CharStream) - Constructor for class edu.umd.cs.psl.parser.PSLLexer

PSLListener - Interface in edu.umd.cs.psl.parser

This interface defines a complete listener for a parse tree produced by PSLParser.

PSLModelLoader - Class in edu.umd.cs.psl.parser

This class operates both as a utility class to load PSL models as well as the visitor implementation for the ANTLR PSL model parser.

PSLModelLoader(Model, DataStore) - Constructor for class edu.umd.cs.psl.parser.PSLModelLoader

PSLParser - Class in edu.umd.cs.psl.parser

PSLParser(TokenStream) - Constructor for class edu.umd.cs.psl.parser.PSLParser

PSLParser.ArgumentContext - Class in edu.umd.cs.psl.parser

PSLParser.ArgumentContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

PSLParser.ArgumentTypeContext - Class in edu.umd.cs.psl.parser

PSLParser.ArgumentTypeContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ArgumentTypeContext

PSLParser.AtomContext - Class in edu.umd.cs.psl.parser

PSLParser.AtomContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.AtomContext

PSLParser.ConstantContext - Class in edu.umd.cs.psl.parser

PSLParser.ConstantContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ConstantContext

PSLParser.ConstraintContext - Class in edu.umd.cs.psl.parser

PSLParser.ConstraintContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ConstraintContext

PSLParser.ConstraintTypeContext - Class in edu.umd.cs.psl.parser

PSLParser.ConstraintTypeContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ConstraintTypeContext

PSLParser.ExpressionContext - Class in edu.umd.cs.psl.parser

PSLParser.ExpressionContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

PSLParser.ExpressionContext(ParserRuleContext, int, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

PSLParser.IntConstantContext - Class in edu.umd.cs.psl.parser

PSLParser.IntConstantContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.IntConstantContext

PSLParser.KernelContext - Class in edu.umd.cs.psl.parser

PSLParser.KernelContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.KernelContext

PSLParser.PredicateContext - Class in edu.umd.cs.psl.parser

PSLParser.PredicateContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.PredicateContext

PSLParser.PredicateDefinitionContext - Class in edu.umd.cs.psl.parser

PSLParser.PredicateDefinitionContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.PredicateDefinitionContext

PSLParser.ProgramContext - Class in edu.umd.cs.psl.parser

PSLParser.ProgramContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.ProgramContext

PSLParser.StrConstantContext - Class in edu.umd.cs.psl.parser

PSLParser.StrConstantContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.StrConstantContext

PSLParser.VariableContext - Class in edu.umd.cs.psl.parser

PSLParser.VariableContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.VariableContext

PSLParser.WeightContext - Class in edu.umd.cs.psl.parser

PSLParser.WeightContext(ParserRuleContext, int) - Constructor for class edu.umd.cs.psl.parser.PSLParser.WeightContext

PSLVisitor<T> - Interface in edu.umd.cs.psl.parser

This interface defines a complete generic visitor for a parse tree produced by PSLParser.

push(double) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

push(Formula) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

PYTHON_COMMENT - Static variable in class edu.umd.cs.psl.parser.PSLLexer

PYTHON_COMMENT - Static variable in class edu.umd.cs.psl.parser.PSLParser

Q

Queries - Class in edu.umd.cs.psl.util.database

Utility methods for common Database and DatabaseQuery tasks.

Queries() - Constructor for class edu.umd.cs.psl.util.database.Queries

QueryAtom - Class in edu.umd.cs.psl.model.atom

An Atom that can be used in a query, but does not have a truth value or confidence value.

QueryAtom(Predicate, Term...) - Constructor for class edu.umd.cs.psl.model.atom.QueryAtom

queryAtoms - Variable in class edu.umd.cs.psl.util.datasplitter.builddbstep.QueryAtomsBuildDBStep

QueryAtomsBuildDBStep - Class in edu.umd.cs.psl.util.datasplitter.builddbstep

This class uses a Map of QueryAtom objects and corresponding Variable substitution map (similar to DatabasePopulator) to generate the atoms corresponding to inference targets.

QueryAtomsBuildDBStep(Set<StandardPredicate>, Map<QueryAtom, Map<Variable, Set<GroundTerm>>>) - Constructor for class edu.umd.cs.psl.util.datasplitter.builddbstep.QueryAtomsBuildDBStep

QueryUniformSplitStep - Class in edu.umd.cs.psl.util.datasplitter.splitstep

QueryUniformSplitStep(Iterable<QueryAtom>, int, Variable) - Constructor for class edu.umd.cs.psl.util.datasplitter.splitstep.QueryUniformSplitStep

Constructs a SplitStep that defines all instances with a set of QueryAtoms and groups by variables

QuickSelector<T extends Comparable<T>> - Class in edu.umd.cs.psl.util.collection

This object takes a list of Comparable objects as input and immediately partitions it into a median and the greater half and lesser half.

QuickSelector(LinkedList<T>) - Constructor for class edu.umd.cs.psl.util.collection.QuickSelector

Constructor for median finding

QuickSelector(LinkedList<T>, int) - Constructor for class edu.umd.cs.psl.util.collection.QuickSelector

Constructor for k-selection

R

r - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

r - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

rand - Variable in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

rand - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

randomlyInitializeRVs() - Method in class edu.umd.cs.psl.util.model.ConstraintBlocker

Randomly initializes the RandomVariableAtoms to a feasible state.

RandomVariableAtom - Class in edu.umd.cs.psl.model.atom

A GroundAtom with a truth value and a confidence value which can be modified.

RandomVariableAtom(StandardPredicate, GroundTerm[], Database, double, double) - Constructor for class edu.umd.cs.psl.model.atom.RandomVariableAtom

RankingComparator - Interface in edu.umd.cs.psl.evaluation.statistics

RankingScore - Enum in edu.umd.cs.psl.evaluation.statistics

Methods for scoring a ranking of Atoms against a given ranking.

RDBMSDatabase - Class in edu.umd.cs.psl.database.rdbms

RDBMSDatabase(RDBMSDataStore, Connection, Partition, Partition[], Set<StandardPredicate>) - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

The constructor for the RDBMSDatabase.

RDBMSDataLoader - Class in edu.umd.cs.psl.database.rdbms

RDBMSDataLoader(Connection) - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSDataLoader

RDBMSDataStore - Class in edu.umd.cs.psl.database.rdbms

The RDMBSDataStore is an RDBMS implementation of the DataStore interface.

RDBMSDataStore(DatabaseDriver, ConfigBundle) - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Returns an RDBMSDataStore that utilizes the connection created by the DatabaseDriver.

RDBMSDataStoreTest - Class in edu.umd.cs.psl.database.rdbms

RDBMSDataStoreTest() - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSDataStoreTest

RDBMSPredicateHandle - Interface in edu.umd.cs.psl.database.rdbms

RDBMSResultList - Class in edu.umd.cs.psl.database.rdbms

RDBMSResultList(int) - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSResultList

RDBMSUniqueIntID - Class in edu.umd.cs.psl.database.rdbms

RDBMSUniqueIntID(int) - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

RDBMSUniqueStringID - Class in edu.umd.cs.psl.database.rdbms

RDBMSUniqueStringID(String) - Constructor for class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

read - Variable in class edu.umd.cs.psl.util.datasplitter.builddbstep.DBDefinition

ReadOnlyDatabase - Class in edu.umd.cs.psl.database

ReadOnlyDatabase(Database) - Constructor for class edu.umd.cs.psl.database.ReadOnlyDatabase

readPartitions - Variable in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

The partition IDs that this database reads from.

readResults(BufferedReader) - Method in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

readResults(BufferedReader) - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

readResults(BufferedReader) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

reasoner - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

reasoner - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

Reasoner - Interface in edu.umd.cs.psl.reasoner

A GroundKernelStore that can minimize the total weighted incompatibility of its GroundCompatibilityKernels such that the infeasibility of its GroundConstraintKernels is (close to) zero by optimizing the RandomVariableAtoms.

REASONER_DEFAULT - Static variable in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

Default value for REASONER_KEY.

REASONER_DEFAULT - Static variable in class edu.umd.cs.psl.application.inference.LazyMPEInference

Default value for REASONER_KEY.

REASONER_DEFAULT - Static variable in class edu.umd.cs.psl.application.inference.MPEInference

Default value for REASONER_KEY.

REASONER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Default value for REASONER_KEY.

REASONER_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Default value for REASONER_KEY.

REASONER_KEY - Static variable in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

Key for Factory or String property.

REASONER_KEY - Static variable in class edu.umd.cs.psl.application.inference.LazyMPEInference

Key for Factory or String property.

REASONER_KEY - Static variable in class edu.umd.cs.psl.application.inference.MPEInference

Key for Factory or String property.

REASONER_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Key for Factory or String property.

REASONER_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Key for Factory or String property.

ReasonerFactory - Interface in edu.umd.cs.psl.reasoner

Factory for a Reasoner.

registerAtomEventListener(Set<AtomEvent.Type>, AtomEvent.Listener) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Registers a listener for any event types in a set.

registerAtomEventListener(Set<AtomEvent.Type>, StandardPredicate, AtomEvent.Listener) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Registers a listener for any event types in a set related to RandomVariableAtoms with a given StandardPredicate.

registerClauseForEvents(AtomEventFramework, Set<AtomEvent.Type>, Kernel) - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

registeredExternalFunctionCall(String, String, String...) - Static method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Used by the RDBMS to make an external function call.

registeredGroundKernels - Variable in class edu.umd.cs.psl.model.atom.GroundAtom

registerForAtomEvents(AtomEventFramework, GroundKernelStore) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

registerForAtomEvents(AtomEventFramework, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

registerForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

Registers with a specific AtomEventFramework to handle atom events.

registerForAtomEvents(AtomEventFramework, GroundKernelStore) - Method in interface edu.umd.cs.psl.model.kernel.Kernel

Registers this Kernel to listen for the AtomEvents it needs to update a GroundKernelStore.

registerForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

registerForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

registerForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

registerForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

registerForConicProgramEvents(ConicProgramListener) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

registerGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.model.atom.GroundAtom

Registers a ground kernel to receive update events.

registerModelObserver(ModelEvent.Listener) - Method in class edu.umd.cs.psl.model.Model

Registers an observer to receive ModelEvents.

registerPredicate(StandardPredicate) - Method in interface edu.umd.cs.psl.database.DataStore

Registers a StandardPredicate so that GroundAtoms of that StandardPredicate can be persisted in this DataStore.

registerPredicate(StandardPredicate) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

reInit(int) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

rejectSample(boolean) - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

rejectSample(boolean) - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

rejectSample(boolean) - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Relation<ET extends EntityType,RT extends RelationType> - Class in edu.umd.cs.psl.ui.data.graph

Relation(RT) - Constructor for class edu.umd.cs.psl.ui.data.graph.Relation

Relationship - Interface in edu.umd.cs.psl.util.graph

RelationshipWeighter - Interface in edu.umd.cs.psl.util.graph.weight

RelationType - Interface in edu.umd.cs.psl.ui.data.graph

relaxedEpsilon - Static variable in class edu.umd.cs.psl.model.NumericUtilities

releasePartitions(RDBMSDatabase) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

releaseVariable(Variable) - Method in class edu.umd.cs.psl.model.atom.VariableAssignment

Removes the ground term for the given variable.

relTol - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

relType - Static variable in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

remove(Object...) - Method in interface edu.umd.cs.psl.database.loading.Updater

remove(Object) - Method in class edu.umd.cs.psl.util.collection.HashList

remove(int) - Method in class edu.umd.cs.psl.util.collection.HashList

removeAll(Collection<?>) - Method in class edu.umd.cs.psl.util.collection.HashList

removeCone(Cone) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

removeGroundKernel(GroundKernel) - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

Removes a GroundKernel from this store.

removeGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

removeGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

removeGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

removeGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

removeKernel(Kernel) - Method in class edu.umd.cs.psl.model.Model

Removes a Kernel from this Model.

removeLossAugmentedKernels() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

removeRedundantConstraints(ConicProgram) - Static method in class edu.umd.cs.psl.optimizer.conic.util.Presolver

Deletes any redundant constraints from a ConicProgram.

reorderPartitions() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

reset() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

reset() - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

RESET_SCHEDULE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Default value for STORE_WEIGHTS_KEY

RESET_SCHEDULE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Key for Boolean property that indicates whether to reset step-size schedule for each EM round.

resetSchedule - Variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

restrictedConstraints - Variable in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

ResultComparator - Interface in edu.umd.cs.psl.evaluation.statistics

Compares GroundAtoms in a results Database with those in a baseline Database.

ResultList - Interface in edu.umd.cs.psl.database

List of substitutions for Variables in a Formula.

retainAll(Collection<?>) - Method in class edu.umd.cs.psl.util.collection.HashList

RotatedSecondOrderCone - Class in edu.umd.cs.psl.optimizer.conic.program

rounds - Variable in class edu.umd.cs.psl.application.inference.LazyMPEInference.IntermidateState

rowAssignments - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

Rule - Class in edu.umd.cs.psl.model.formula

Rule(Formula, Formula) - Constructor for class edu.umd.cs.psl.model.formula.Rule

RULE_argument - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_argumentType - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_atom - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_constant - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_constraint - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_constraintType - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_expression - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_intConstant - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_kernel - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_predicate - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_predicateDefinition - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_program - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_strConstant - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_variable - Static variable in class edu.umd.cs.psl.parser.PSLParser

RULE_weight - Static variable in class edu.umd.cs.psl.parser.PSLParser

ruleNames - Static variable in class edu.umd.cs.psl.parser.PSLLexer

ruleNames - Static variable in class edu.umd.cs.psl.parser.PSLParser

runConfidenceAnalysis() - Method in class edu.umd.cs.psl.application.inference.ConfidenceAnalysis

Infers the means and inverse standard deviations of the RandomVariableAtoms persisted in a Database, according to a Model, given the Database's ObservedAtoms, sets them as each Atom's truth values and confidence values, and commits them back to the Database.

runSeparationOracle() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

runSeparationOracle() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Sets the current Atom states to

rvDB - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

S

sample(Iterable<GroundKernel>, double, int) - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

sampleAlpha(Matrix, Matrix, Matrix, double, double) - Method in class edu.umd.cs.psl.sampler.AbstractHitAndRunSampler

sampleAlpha(Matrix, Matrix, Matrix, double, double) - Method in class edu.umd.cs.psl.sampler.LinearSampler

sampleAlpha(Matrix, Matrix, Matrix, double, double) - Method in class edu.umd.cs.psl.sampler.UniformSampler

sampleAndSetWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

sampleAndSetWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

sampleAndSetWeights() - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Samples and sets GroundCompatibilityKernel weights.

sampleFromGaussian(double, double) - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Sampler - Interface in edu.umd.cs.psl.sampler

SAVE_DIR_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for SAVE_DIR_KEY

SAVE_DIR_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for string property indicating the directory to save intermediate topic models (if empty, do not save them).

SCALE_GRADIENT_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for SCALE_GRADIENT_KEY

SCALE_GRADIENT_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for Boolean property that indicates whether to scale gradient by number of groundings

SCALE_NORM_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Default value for SCALE_NORM_KEY

SCALE_NORM_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Key for NormScalingType enum property.

scaleGradient - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

scaleNorm - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

scheduleStepSize - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

scratch - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

SecondOrderCone - Class in edu.umd.cs.psl.optimizer.conic.program

SecondOrderConeTest - Class in edu.umd.cs.psl.optimizer.conic.ipm

SecondOrderConeTest() - Constructor for class edu.umd.cs.psl.optimizer.conic.ipm.SecondOrderConeTest

SEED_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

Default value for SEED_KEY property

SEED_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

Key for integer property which is random seed for reasoner

sempred(RuleContext, int, int) - Method in class edu.umd.cs.psl.parser.PSLParser

separatorString() - Method in class edu.umd.cs.psl.model.formula.AvgConjunction

separatorString() - Method in class edu.umd.cs.psl.model.formula.Conjunction

separatorString() - Method in class edu.umd.cs.psl.model.formula.Disjunction

set(Object...) - Method in interface edu.umd.cs.psl.database.loading.Updater

set(int, int, double) - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Set entry (i,j).

set(int, E) - Method in class edu.umd.cs.psl.util.collection.HashList

set(double) - Method in class edu.umd.cs.psl.util.concurrent.AtomicDouble

setA(SparseCCDoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

setA(SparseCCDoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.Cholesky

setA(SparseCCDoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

setA(SparseCCDoubleMatrix2D) - Method in interface edu.umd.cs.psl.optimizer.conic.ipm.solver.NormalSystemSolver

setAttribute(String, Object) - Method in class edu.umd.cs.psl.ui.data.graph.HasAttributes

setBalanceExponent(double) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

setBarrierGradient(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

setBarrierGradient(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

setBarrierGradient(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

setBarrierGradient(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

setBarrierHessian(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

setBarrierHessian(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

setBarrierHessian(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

setBarrierHessian(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

setBarrierHessianInv(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

setBarrierHessianInv(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

setBarrierHessianInv(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

setBarrierHessianInv(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

setBaseline(Database) - Method in class edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator

setBaseline(Database) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

setBaseline(Database) - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionComparator

Sets the ground truth database.

setBaseline(Database) - Method in interface edu.umd.cs.psl.evaluation.statistics.ResultComparator

Sets the baseline with which to compare.

setBaseline(Database) - Method in class edu.umd.cs.psl.evaluation.statistics.SimpleRankingComparator

setBoundSpec(int, int) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

setBuildDBStep(BuildDBStep) - Method in class edu.umd.cs.psl.util.datasplitter.DataSplitter

SetComparison - Enum in edu.umd.cs.psl.groovy

setConfidence(double) - Method in class edu.umd.cs.psl.reasoner.function.ConstantAtomFunctionVariable

setConfidence(double) - Method in interface edu.umd.cs.psl.reasoner.function.FunctionVariable

Sets a confidence value that is associated with the variable.

setConfidence(double) - Method in class edu.umd.cs.psl.reasoner.function.MutableAtomFunctionVariable

setConfidenceValue(double) - Method in class edu.umd.cs.psl.model.atom.RandomVariableAtom

Sets the confidence value of this Atom.

setConicProgram(ConicProgram) - Method in interface edu.umd.cs.psl.optimizer.conic.ConicProgramSolver

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPM

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.PartitionedIPM

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.Cholesky

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

setConicProgram(ConicProgram) - Method in interface edu.umd.cs.psl.optimizer.conic.ipm.solver.NormalSystemSolver

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

setConicProgram(ConicProgram) - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

setConicProgram(ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ObjectiveCoefficientPartitioner

setConstrainedValue(Double) - Method in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

SetDefinitionKernel - Class in edu.umd.cs.psl.model.kernel.setdefinition

This class implements an abstract fuzzy predicate which is extended by particular fuzzy predicate classes.

SetDefinitionKernel(StandardPredicate, SetTerm, SetTerm, Variable[], Predicate, EntityAggregatorFunction, boolean) - Constructor for class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

SetDefinitionKernel(StandardPredicate, SetTerm, SetTerm, Variable[], Predicate, String, boolean) - Constructor for class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

SetDefinitionKernel(StandardPredicate, SetTerm, SetTerm, Variable[], Predicate, String) - Constructor for class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

SetDefinitionKernel(StandardPredicate, SetTerm, SetTerm, Variable[], Predicate, EntityAggregatorFunction) - Constructor for class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

setEpsilonAbs(double) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

setEpsilonRel(double) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

setFtol(double) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

setInteriorDirection(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.Cone

setInteriorDirection(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.NonNegativeOrthantCone

setInteriorDirection(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.RotatedSecondOrderCone

setInteriorDirection(Map<Variable, Integer>, DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.program.SecondOrderCone

setLabeledRandomVariables() - Method in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

Sets RandomVariableAtoms with training labels to their observed values.

setLinearCoefficients(double[]) - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

set f in x'A'Ax + f'x

setLowerBound(int, double) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

setMatrix(DoubleMatrix2D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

setMaxIter(int) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

setMaxIter(int) - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

setMeansToMPE() - Method in class edu.umd.cs.psl.application.learning.weight.em.BernoulliMeanFieldEM

setMetric(ContinuousPredictionComparator.Metric) - Method in class edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator

SetMin - Class in edu.umd.cs.psl.ui.aggregators

SetMin(double, double, double) - Constructor for class edu.umd.cs.psl.ui.aggregators.SetMin

SetMin(double) - Constructor for class edu.umd.cs.psl.ui.aggregators.SetMin

SetMin() - Constructor for class edu.umd.cs.psl.ui.aggregators.SetMin

SetMin(String[]) - Constructor for class edu.umd.cs.psl.ui.aggregators.SetMin

setModel(Model, String) - Method in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

setNoPartitioningTrials(int) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

setObjectiveCoefficient(Double) - Method in class edu.umd.cs.psl.optimizer.conic.program.Variable

setParameter(int, double) - Method in interface edu.umd.cs.psl.model.parameters.Parameters

setParameter(int, double) - Method in class edu.umd.cs.psl.model.parameters.Weight

setParameters(Parameters) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

setParameters(Parameters) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

setParameters(Parameters) - Method in interface edu.umd.cs.psl.model.kernel.Kernel

Sets the Parameters of this Kernel.

setParameters(Parameters) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

setParameters(Parameters) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

setProperty(String, Object) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Set a property, this will replace any previously set values.

setProperty(String, Object) - Method in class edu.umd.cs.psl.config.EmptyBundle

setQuadraticTerm(double[], double[]) - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

Sets the quadratic term in the norm minimization objective to be ||weight .* x - origin||^2

setRankingScore(RankingScore) - Method in interface edu.umd.cs.psl.evaluation.statistics.RankingComparator

setRankingScore(RankingScore) - Method in class edu.umd.cs.psl.evaluation.statistics.SimpleRankingComparator

setResultFilter(AtomFilter) - Method in class edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator

setResultFilter(AtomFilter) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

setResultFilter(AtomFilter) - Method in class edu.umd.cs.psl.evaluation.statistics.MulticlassPredictionComparator

TODO: Does it make sense to have this method for this class?

setResultFilter(AtomFilter) - Method in interface edu.umd.cs.psl.evaluation.statistics.ResultComparator

Sets a filter on the RandomVariableAtoms in the results Database that will be compared with the baseline.

setResultFilter(AtomFilter) - Method in class edu.umd.cs.psl.evaluation.statistics.SimpleRankingComparator

setSize(int) - Method in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

setSize(int) - Method in interface edu.umd.cs.psl.util.graph.partition.Partitioner

Define the size of the partition, i.e.

setSlackPenalty(double) - Method in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Sets slack coefficient for max margin constraints

setSplitStep(SplitStep) - Method in class edu.umd.cs.psl.util.datasplitter.DataSplitter

setSubsplitter(DataSplitter) - Method in class edu.umd.cs.psl.util.datasplitter.DataSplitter

SetTerm - Interface in edu.umd.cs.psl.model.set.term

setThreshold(double) - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparator

SetUnion - Class in edu.umd.cs.psl.model.set.term

SetUnion(SetTerm, SetTerm) - Constructor for class edu.umd.cs.psl.model.set.term.SetUnion

setUp() - Method in class edu.umd.cs.psl.database.DatabasePopulatorTest

setUp() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

setUp() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparatorTest

setUp() - Method in class edu.umd.cs.psl.model.atom.AtomEventFrameworkTest

setUp() - Method in class edu.umd.cs.psl.optimizer.conic.ConicProgramSolverContractTest

setUp() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.SecondOrderConeTest

setUp() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartitionTest

setUp() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

setUp() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

setUp() - Method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializerTest

setUp() - Method in class edu.umd.cs.psl.reasoner.admm.HingeLossTermTest

setUp() - Method in class edu.umd.cs.psl.reasoner.admm.LinearConstraintTermTest

setUp() - Method in class edu.umd.cs.psl.reasoner.admm.LinearLossTermTest

setUp() - Method in class edu.umd.cs.psl.reasoner.admm.SquaredHingeLossTermTest

setUp() - Method in class edu.umd.cs.psl.reasoner.admm.SquaredLinearLossTermTest

setUp() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

setUpperBound(int, double) - Method in class edu.umd.cs.psl.optimizer.lbfgs.LBFGSB

setupSeparationOracle() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

setupSeparationOracle() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Performs any initialization necessary for the separation oracle.

setupTimeKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

setValue(double, Object...) - Method in interface edu.umd.cs.psl.database.loading.Updater

setValue(double, double, Object...) - Method in interface edu.umd.cs.psl.database.loading.Updater

setValue(double) - Method in class edu.umd.cs.psl.model.atom.RandomVariableAtom

Sets the truth value of this Atom.

setValue(double) - Method in class edu.umd.cs.psl.reasoner.function.ConstantAtomFunctionVariable

setValue(double) - Method in interface edu.umd.cs.psl.reasoner.function.FunctionVariable

Sets the variable's value

setValue(double) - Method in class edu.umd.cs.psl.reasoner.function.MutableAtomFunctionVariable

setValues(double[], Object...) - Method in interface edu.umd.cs.psl.database.loading.Updater

setValues(double[], double[], Object...) - Method in interface edu.umd.cs.psl.database.loading.Updater

setVariable(Variable, int) - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

setVariable(Variable, Double) - Method in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

setWeight(Weight) - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

setWeight(Weight) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

setWeight(double) - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.admm.NegativeLogLossTerm

setWeight(Weight) - Method in interface edu.umd.cs.psl.model.kernel.CompatibilityKernel

setWeight(Weight) - Method in interface edu.umd.cs.psl.model.kernel.GroundCompatibilityKernel

Sets a weight for this GroundCompatibilityKernel.

setWeight(Weight) - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

setWeight(Weight) - Method in class edu.umd.cs.psl.model.kernel.rule.GroundCompatibilityRule

setWeight(double) - Method in interface edu.umd.cs.psl.reasoner.admm.WeightedObjectiveTerm

setWeight(Relationship, Double) - Method in class edu.umd.cs.psl.util.graph.weight.HashRelationshipWeighter

setWeightMutable(boolean) - Method in interface edu.umd.cs.psl.model.kernel.CompatibilityKernel

setWeightMutable(boolean) - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

SimpleAtomManager - Class in edu.umd.cs.psl.model.atom

AtomManager that does not provide any functionality beyond passing calls to underlying components.

SimpleAtomManager(Database) - Constructor for class edu.umd.cs.psl.model.atom.SimpleAtomManager

SimpleBuildDBStep - Class in edu.umd.cs.psl.util.datasplitter.builddbstep

A simple class for the BuildDBStep interface that creates a list of DBDefinitions with closed predicates specified by the user and a read partition to each collection of partitions in the passed list.

SimpleBuildDBStep(Set<StandardPredicate>) - Constructor for class edu.umd.cs.psl.util.datasplitter.builddbstep.SimpleBuildDBStep

SimpleRankingComparator - Class in edu.umd.cs.psl.evaluation.statistics

SimpleRankingComparator(Database) - Constructor for class edu.umd.cs.psl.evaluation.statistics.SimpleRankingComparator

SimplexSampler - Class in edu.umd.cs.psl.application.learning.weight.maxlikelihood

SimplexSampler(int) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.SimplexSampler

SimplexSampler() - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.SimplexSampler

SingleFoldLoader - Interface in edu.umd.cs.psl.ui.experiment.folds

SingleFoldLoaderAdapter - Class in edu.umd.cs.psl.ui.experiment.folds

SingleFoldLoaderAdapter(SingleLoader, SingleLoader) - Constructor for class edu.umd.cs.psl.ui.experiment.folds.SingleFoldLoaderAdapter

SingleLoader - Interface in edu.umd.cs.psl.ui.experiment.folds

size() - Method in interface edu.umd.cs.psl.application.groundkernelstore.GroundKernelStore

size() - Method in class edu.umd.cs.psl.application.groundkernelstore.MemoryGroundKernelStore

size() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

size() - Method in interface edu.umd.cs.psl.database.ResultList

size() - Method in class edu.umd.cs.psl.model.set.membership.ConstantMembership

size() - Method in interface edu.umd.cs.psl.model.set.membership.Membership

size() - Method in class edu.umd.cs.psl.model.set.membership.SoftMembership

size() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

size() - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

size() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

size() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

size() - Method in class edu.umd.cs.psl.reasoner.conic.ConicReasoner

size() - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

size() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

size() - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

size() - Method in class edu.umd.cs.psl.ui.data.graph.Subgraph

size() - Method in class edu.umd.cs.psl.util.collection.HashList

SLACK_PENALTY - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Key for slack penalty C, where objective is ||w|| + C * slack

SLACK_PENALTY_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Default value for SLACK_PENALTY_KEY

SLACK_PENALTY_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.random.HardEMRandOM

Default value for SLACK_PENALTY

SLACK_PENALTY_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Key for double property, slack penalty C, where objective is ||w|| + C (slack)

slackPenalty - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

sliceHeight - Variable in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

SliceRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

Abstract class that learns new weights for the CompatibilityKernels in a Model using slice-sampling MCEM RandOM learning.

SliceRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

SoftMembership<A> - Class in edu.umd.cs.psl.model.set.membership

SoftMembership() - Constructor for class edu.umd.cs.psl.model.set.membership.SoftMembership

SoftTermMembership - Class in edu.umd.cs.psl.model.set.membership

SoftTermMembership() - Constructor for class edu.umd.cs.psl.model.set.membership.SoftTermMembership

solve() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MinNormProgram

solves current conic program

solve() - Method in interface edu.umd.cs.psl.optimizer.conic.ConicProgramSolver

solve() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

solve() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

solve(DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

solve(DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.Cholesky

solve(DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.ConjugateGradient

solve(DoubleMatrix1D) - Method in interface edu.umd.cs.psl.optimizer.conic.ipm.solver.NormalSystemSolver

solve() - Method in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

SOLVE_FORM_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Default value for SOLVE_FORM_KEY property

SOLVE_FORM_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

Key for solveform property.

solveNormalSystem(SparseCCDoubleMatrix2D, DoubleMatrix1D, ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.cg.ConjugateGradientIPM

solveNormalSystem(SparseCCDoubleMatrix2D, DoubleMatrix1D, ConicProgram) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

SpecialPredicate - Class in edu.umd.cs.psl.model.predicate

A commonly used FunctionalPredicate.

split(Database) - Method in class edu.umd.cs.psl.util.datasplitter.DataSplitter

splitGraphRandom(int, ET) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

splitGraphSnowball(int, ET, int, double) - Method in class edu.umd.cs.psl.ui.data.graph.Graph

SplitStep - Interface in edu.umd.cs.psl.util.datasplitter.splitstep

SQUARE_SLACK_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Default value for SQUARE_SLACK KEY

SQUARE_SLACK_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Key for SquareSlack boolean property.

squared - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

squared - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

SQUARED - Static variable in class edu.umd.cs.psl.parser.PSLLexer

SQUARED() - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

SQUARED - Static variable in class edu.umd.cs.psl.parser.PSLParser

SquaredHingeLossTermTest - Class in edu.umd.cs.psl.reasoner.admm

SquaredHingeLossTermTest() - Constructor for class edu.umd.cs.psl.reasoner.admm.SquaredHingeLossTermTest

SquaredLinearLossTermTest - Class in edu.umd.cs.psl.reasoner.admm

SquaredLinearLossTermTest() - Constructor for class edu.umd.cs.psl.reasoner.admm.SquaredLinearLossTermTest

SquareMatrix - Class in edu.umd.cs.psl.evaluation.statistics

Square matrix data structure.

SquareMatrix(int) - Constructor for class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Initializes an empty square matrix of size length x length.

SquareMatrix(SquareMatrix) - Constructor for class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Copy constructor.

squareSlack - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

StandardPredicate - Class in edu.umd.cs.psl.model.predicate

Predicate of GroundAtoms that can be persisted in a Database.

start() - Method in class edu.umd.cs.psl.evaluation.debug.CmdDebugger

start() - Method in interface edu.umd.cs.psl.evaluation.debug.Debugger

StatisticsUtil - Class in edu.umd.cs.psl.ui.experiment.report

StatisticsUtil() - Constructor for class edu.umd.cs.psl.ui.experiment.report.StatisticsUtil

step - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron.IntermediateState

step(ConicProgram, DoubleMatrix1D, DoubleMatrix2D, double, double, boolean) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

STEP_SCHEDULE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for STEP_SCHEDULE_KEY

STEP_SCHEDULE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for Boolean property that indicates whether to shrink the stepsize by a 1/t schedule.

STEP_SIZE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Default value for STEP_SIZE_KEY

STEP_SIZE_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Default value for STEP_SIZE_KEY property

STEP_SIZE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Key for positive double property which will be multiplied with the objective gradient to compute a step.

STEP_SIZE_KEY - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Key for non-negative double property.

stepIn() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

stepIn() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

stepIn() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Samples a point from the slice inside the region.

stepOut() - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

stepOut() - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

stepOut() - Method in class edu.umd.cs.psl.application.learning.weight.random.SliceRandOM

Finds a region containing most or all of the slice at the current value of SliceRandOM.sliceHeight.

stepSize - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

stepSize - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

stepSize - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

stepSize - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

stop() - Method in class edu.umd.cs.psl.application.inference.LazyMPEInference

Notifies LazyMPEInference to stop inference at the end of the current round

stop() - Method in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Notifies VotedPerceptron to exit after the current step

STOP_CHECK_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Default value for STOP_CHECK_KEY property

STOP_CHECK_KEY - Static variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Key for positive integer.

STORE_WEIGHTS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Default value for STORE_WEIGHTS_KEY

STORE_WEIGHTS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Key for Boolean property that indicates whether to store weights along entire optimization path

storedWeights - Variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

storeWeights - Variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

STR_ARG - Static variable in class edu.umd.cs.psl.parser.PSLLexer

STR_ARG - Static variable in class edu.umd.cs.psl.parser.PSLParser

strConstant() - Method in class edu.umd.cs.psl.parser.PSLParser.ConstantContext

strConstant() - Method in class edu.umd.cs.psl.parser.PSLParser

strictEpsilon - Static variable in class edu.umd.cs.psl.model.NumericUtilities

STRING - Static variable in class edu.umd.cs.psl.parser.PSLLexer

STRING() - Method in class edu.umd.cs.psl.parser.PSLParser.StrConstantContext

STRING - Static variable in class edu.umd.cs.psl.parser.PSLParser

StringAttribute - Class in edu.umd.cs.psl.model.argument

An Attribute that encapsulates a String.

StringAttribute(String) - Constructor for class edu.umd.cs.psl.model.argument.StringAttribute

Constructs a StringAttribute from a String

Subgraph<ET extends EntityType,RT extends RelationType> - Class in edu.umd.cs.psl.ui.data.graph

Subgraph() - Constructor for class edu.umd.cs.psl.ui.data.graph.Subgraph

subList(int, int) - Method in class edu.umd.cs.psl.util.collection.HashList

submit(Runnable) - Method in class edu.umd.cs.psl.util.concurrent.ThreadPool

subset(String) - Method in interface edu.umd.cs.psl.config.ConfigBundle

Return a ConfigBundle containing every key from the current ConfigBundle that starts with the specified prefix.

subset(String) - Method in class edu.umd.cs.psl.config.EmptyBundle

SubStringSimilarity - Class in edu.umd.cs.psl.ui.functions.textsimilarity

SubStringSimilarity() - Constructor for class edu.umd.cs.psl.ui.functions.textsimilarity.SubStringSimilarity

sum - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

sum - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

sum - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

sum - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

sum - Variable in class edu.umd.cs.psl.reasoner.function.FunctionSum

sumSq - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

sumSq - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

sumSq - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

sumSq - Variable in class edu.umd.cs.psl.application.learning.weight.random.GroundSliceRandOM

supportsConeTypes(Collection<ConeType>) - Method in interface edu.umd.cs.psl.optimizer.conic.ConicProgramSolver

supportsConeTypes(Collection<ConeType>) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

supportsConeTypes(Collection<ConeType>) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

supportsConeTypes(Collection<ConeType>) - Method in class edu.umd.cs.psl.optimizer.conic.mosek.MOSEK

supportsConeTypes(Collection<ConeType>) - Method in interface edu.umd.cs.psl.optimizer.conic.partition.CompletePartitioner

supportsConeTypes(Collection<ConeType>) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

supportsConeTypes(Collection<ConeType>) - Method in class edu.umd.cs.psl.optimizer.conic.partition.HierarchicalPartitioner

supportsConeTypes(Collection<ConeType>) - Static method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

supportsConeTypes(Collection<ConeType>) - Static method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializer

SYMMETRIC - Static variable in class edu.umd.cs.psl.parser.PSLLexer

SYMMETRIC() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

SYMMETRIC - Static variable in class edu.umd.cs.psl.parser.PSLParser

SymmetryConstraintKernel - Class in edu.umd.cs.psl.model.kernel.predicateconstraint

Induces GroundSymmetryConstraints between Atoms of a binary StandardPredicate with symmetric arguments.

SymmetryConstraintKernel(StandardPredicate) - Constructor for class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

sysTime() - Method in class edu.umd.cs.psl.optimizer.lbfgs.Timer

Returns system time in nanoseconds.

T

tableName() - Method in interface edu.umd.cs.psl.database.rdbms.RDBMSPredicateHandle

TASK_DEFAULT - Static variable in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

Default value for TASK_KEY property (MPE)

TASK_KEY - Static variable in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

Key for Task enum property which is reasoner task to perform.

TAU_THRESHOLD_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Default value for TAU_THRESHOLD_KEY property.

TAU_THRESHOLD_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.HomogeneousIPM

Key for double property.

tearDown() - Method in class edu.umd.cs.psl.database.DatabasePopulatorTest

tearDown() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

tearDownSeparationOracle() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin

tearDownSeparationOracle() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

Undoes MaxMargin.setupSeparationOracle().

Term - Interface in edu.umd.cs.psl.model.argument

An argument to a Predicate.

TermMembership - Interface in edu.umd.cs.psl.model.set.membership

terms - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver

terms - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Ground kernels wrapped to be objective function terms for ADMM

testAccuracy() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparatorTest

testAddDuplicateVariableToConstraint() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests adding the same variable twice to a linear constraint.

testAddVariable() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests adding a variable to a constraint in the primal program after checking out and in.

testAtomInReadAndWritePartitions() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testAtomInTwoReadPartitions() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testCheckInDualProgramBeforeCheckInDualMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckInDualProgramBeforeCheckOutDualProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckInPrimalMatricesBeforeCheckInDualProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckInSOCP() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests checking in matrices for a second-order cone program.

testCheckOutAndIn() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckOutDualMatricesBeforeCheckOutDualProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckOutDualMatricesBeforeCheckOutPrimalMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckOutDualProgramBeforeCheckInDualProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckOutDualProgramBeforePrimalMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testCheckOutMatrices() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartitionTest

testCheckOutModifiedSOCP() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests checking out matrices after checking them in and modifying the program.

testCheckOutSOCP() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests checking out matrices for a second-order cone program.

testCommit() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testCommitAfterClose() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testComplexPopulateDatabase() - Method in class edu.umd.cs.psl.database.DatabasePopulatorTest

testCreateBooleanProperty() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests that a boolean property is indexed correctly after creation.

testCreateConstraintAfterCheckIn() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests creating more constraints after checking matrices in.

testCreateDuplicateRelationship() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests creating a duplicate relationship.

testCreateEnumProperty() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests that an enum property is indexed correctly after creation.

testCreateNNOCAfterCheckIn() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests creating more non-negative orthant cones after checking matrices in.

testCreateNode() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests creating a node.

testCreateProperty() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests creating a property.

testCreateRelationship() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests creating a relationship.

testCreateSOCP() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests the creation of a second-order cone program.

testDeleteBooleanProperty() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests that a boolean property is indexed correctly after deletion.

testDeleteBooleanPropertySelectively() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests that boolean properties are indexed correctly after deleting one and leaving others untouched.

testDeleteConstraintThenSlackVariable() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests that the dualizer can correctly handle deleting a slack variable if the corresponding linear constraint has already been deleted.

testDeleteDuplicateRelationship() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests deleting a duplicate relationship.

testDeleteEnumProperty() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests that an enum property is indexed correctly after deletion.

testDeleteEqualityConstaint() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests deleting an equality constraint, i.e., without a slack variable.

testDeleteEverything() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests that the dual program is empty after deleting everything in the primal program.

testDeleteNode() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests deleting a node.

testDeletePartition() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testDeletePartitionInUse() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testDeleteProperty() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests deleting a property.

testDeletePropertySelectively() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests deleting a property while leaving another untouched.

testDeleteRegularVariable() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests deleting a regular, i.e., non-slack, variable.

testDeleteRelationship() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests deleting a relationship.

testDeleteSlackVariable() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests deleting a slack variable.

testDeleteSOCP() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests deleting the components of a second-order cone program.

testDoubleCommit() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testExecuteQuery() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testExecuteQueryIllegalProjectionVariable() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testExternalFunctionalPredicate() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testF1() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparatorTest

testGetAtomAfterClose() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testGetAtomUnregisteredPredicate() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testGetAttribute() - Method in class edu.umd.cs.psl.util.graph.GraphContractTest

Tests getting an attribute from a node with multiple properties of the same type.

testGetCutConstraints() - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartitionTest

testGetInserterForDeserializedPredicate() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testGetInserterPartitionInUseRead() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testGetInserterPartitionInUseWrite() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testGetInserterUnregisteredPredicate() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testGetMaxStep() - Method in class edu.umd.cs.psl.optimizer.conic.ipm.SecondOrderConeTest

testInsertAndGetAtom() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testInsertTwoAtoms() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testIsClosed() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testLateRegisteredPredicate() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testMakeFeasible() - Method in class edu.umd.cs.psl.optimizer.conic.util.FeasiblePointInitializerTest

testMinimize() - Method in class edu.umd.cs.psl.reasoner.admm.HingeLossTermTest

testMinimize() - Method in class edu.umd.cs.psl.reasoner.admm.LinearConstraintTermTest

testMinimize() - Method in class edu.umd.cs.psl.reasoner.admm.LinearLossTermTest

testMinimize() - Method in class edu.umd.cs.psl.reasoner.admm.SquaredHingeLossTermTest

testMinimize() - Method in class edu.umd.cs.psl.reasoner.admm.SquaredLinearLossTermTest

testModifyDualProgram() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

testPrecision() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparatorTest

testPredicateRegistration() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testPredicateSerialization() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testQueryAfterClose() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testRecall() - Method in class edu.umd.cs.psl.evaluation.statistics.DiscretePredictionComparatorTest

testRecreateSOCP() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgramTest

Tests creating, deleting, and then recreating a second-order cone program.

testRegisterAndWorkOffJobQueue() - Method in class edu.umd.cs.psl.model.atom.AtomEventFrameworkTest

testReplaceVariables() - Method in class edu.umd.cs.psl.optimizer.conic.util.DualizerTest

Tests deleting and replacing variables in the primal program after checking out and in.

testSharedReadPartition() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testSharedReadWritePartition1() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testSharedReadWritePartition2() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testSharedWritePartition() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testSimplePopulateDatabase() - Method in class edu.umd.cs.psl.database.DatabasePopulatorTest

testSolve() - Method in class edu.umd.cs.psl.optimizer.conic.ConicProgramSolverContractTest

testSolveAfterModification() - Method in class edu.umd.cs.psl.optimizer.conic.ConicProgramSolverContractTest

Tests solving a program after it has been solved once and modified.

testSpecialPredicates() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

testStringEscaping() - Method in class edu.umd.cs.psl.database.DataStoreContractTest

THEN - Static variable in class edu.umd.cs.psl.parser.PSLLexer

THEN() - Method in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

THEN - Static variable in class edu.umd.cs.psl.parser.PSLParser

THREAD_POOL_SIZE_DEFAULT - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPM

THREAD_POOL_SIZE_KEY - Static variable in class edu.umd.cs.psl.optimizer.conic.ipm.ParallelPartitionedIPM

ThreadPool - Class in edu.umd.cs.psl.util.concurrent

time() - Method in class edu.umd.cs.psl.optimizer.lbfgs.Timer

Returns CPU time in nanoseconds.

timeInCornersKey - Static variable in class edu.umd.cs.psl.sampler.HitAndRunSamplerStatistics

Timer - Class in edu.umd.cs.psl.optimizer.lbfgs

Timer() - Constructor for class edu.umd.cs.psl.optimizer.lbfgs.Timer

Tnorm - Enum in edu.umd.cs.psl.model.formula

A pair of binary functions for performing conjunction and disjunction operations on values in [0,1].

tnorm - Static variable in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

toArray() - Method in class edu.umd.cs.psl.util.collection.HashList

toArray(T[]) - Method in class edu.umd.cs.psl.util.collection.HashList

toClose - Variable in class edu.umd.cs.psl.util.datasplitter.builddbstep.DBDefinition

toClose - Variable in class edu.umd.cs.psl.util.datasplitter.builddbstep.QueryAtomsBuildDBStep

tokenNames - Static variable in class edu.umd.cs.psl.parser.PSLLexer

tokenNames - Static variable in class edu.umd.cs.psl.parser.PSLParser

tolerance - Variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

tolerance - Variable in class edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin

TOLERANCE_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Default value for TOLERANCE_KEY property

TOLERANCE_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.ExpectationMaximization

Key for positive double property for the minimum absolute change in weights such that EM is considered converged

toMatlabString() - Method in class edu.umd.cs.psl.evaluation.statistics.ConfusionMatrix

Returns a Matlab string representation of the confusion matrix.

toMatlabString(int) - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Returns a Matlab string representation of the matrix.

toStop - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

Stop flag to quit the loop.

toString() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

toString() - Method in class edu.umd.cs.psl.application.topicmodel.reasoner.function.NegativeLogFunction

toString() - Method in class edu.umd.cs.psl.database.Partition

toString() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSResultList

toString() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueIntID

toString() - Method in class edu.umd.cs.psl.database.rdbms.RDBMSUniqueStringID

toString(Predicate, double) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

toString(Predicate) - Method in class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

toString() - Method in class edu.umd.cs.psl.evaluation.statistics.SquareMatrix

Returns ParallelColt's string representation of the matrix.

toString() - Method in class edu.umd.cs.psl.model.argument.DateAttribute

toString() - Method in class edu.umd.cs.psl.model.argument.DoubleAttribute

toString() - Method in class edu.umd.cs.psl.model.argument.IntegerAttribute

toString() - Method in class edu.umd.cs.psl.model.argument.LongAttribute

toString() - Method in class edu.umd.cs.psl.model.argument.StringAttribute

toString() - Method in interface edu.umd.cs.psl.model.argument.Term

toString() - Method in interface edu.umd.cs.psl.model.argument.UniqueID

Returns a human-friendly String representation of this UniqueID.

toString() - Method in class edu.umd.cs.psl.model.argument.Variable

toString() - Method in class edu.umd.cs.psl.model.atom.Atom

toString() - Method in class edu.umd.cs.psl.model.formula.AvgConjRule

toString() - Method in class edu.umd.cs.psl.model.formula.Negation

toString() - Method in class edu.umd.cs.psl.model.formula.Rule

toString() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

toString() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

toString() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

toString() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

toString() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

toString() - Method in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

toString() - Method in class edu.umd.cs.psl.model.kernel.rule.ConstraintRuleKernel

toString() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundCompatibilityRule

toString() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundConstraintRule

toString() - Method in class edu.umd.cs.psl.model.kernel.rule.GroundWeightedCompatibilityRule

toString() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

toString() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

toString() - Method in class edu.umd.cs.psl.model.Model

Returns a String representation of this Model.

toString() - Method in class edu.umd.cs.psl.model.parameters.Weight

toString() - Method in class edu.umd.cs.psl.model.predicate.Predicate

toString() - Method in class edu.umd.cs.psl.model.predicate.PredicateFactory

toString() - Method in class edu.umd.cs.psl.model.set.term.ConstantSetTerm

toString() - Method in class edu.umd.cs.psl.model.set.term.FormulaSetTerm

toString() - Method in class edu.umd.cs.psl.model.set.term.SetUnion

toString() - Method in class edu.umd.cs.psl.model.set.term.VariableSetTerm

toString() - Method in class edu.umd.cs.psl.optimizer.conic.partition.AbstractCompletePartitioner

toString() - Method in class edu.umd.cs.psl.reasoner.function.AtomFunctionVariable

toString() - Method in class edu.umd.cs.psl.reasoner.function.ConstantNumber

toString() - Method in class edu.umd.cs.psl.reasoner.function.ConstraintTerm

toString() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSum

toString() - Method in class edu.umd.cs.psl.reasoner.function.FunctionSummand

toString() - Method in class edu.umd.cs.psl.reasoner.function.MaxFunction

toString() - Method in class edu.umd.cs.psl.reasoner.function.PowerOfTwo

toString() - Method in class edu.umd.cs.psl.ui.aggregators.AggregateSetEquality

toString() - Method in class edu.umd.cs.psl.ui.aggregators.EvidSetMin

toString() - Method in class edu.umd.cs.psl.ui.aggregators.SetMin

toString() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.CosineSimilarity

toString() - Method in class edu.umd.cs.psl.ui.functions.textsimilarity.LevenshteinSimilarity

traceAtomEvent(Atom) - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

TrainingMap - Class in edu.umd.cs.psl.application.learning.weight

A TrainingMap matches RandomVariableAtoms in one database to their respective ObservedAtom in a second database.

TrainingMap(Database, Database) - Constructor for class edu.umd.cs.psl.application.learning.weight.TrainingMap

Initializes the training map of RandomVariableAtoms to ObservedAtoms.

trainingMap - Variable in class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

trainModel() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

transApply(DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.preconditioner.BlockPreconditioner

traverse(Formula, V) - Static method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

trimUnrestrictedVariablePairs() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

truthIncompatibility - Variable in class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

tryDualize - Variable in class edu.umd.cs.psl.optimizer.conic.ipm.IPM

type - Variable in class edu.umd.cs.psl.ui.data.graph.Relation

U

UAIFormatReasoner - Class in edu.umd.cs.psl.reasoner.bool

Reasoner that performs inferences as a Boolean MRF using a command-line executable that supports the UAI format (http://www.cs.huji.ac.il/project/PASCAL/fileFormat.php).

UAIFormatReasoner(ConfigBundle) - Constructor for class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

UAIFormatReasoner.Task - Enum in edu.umd.cs.psl.reasoner.bool

Options for supported UAI format inference tasks

UAIFormatReasonerFactory - Class in edu.umd.cs.psl.reasoner.bool

Factory for a UAIFormatReasoner.

UAIFormatReasonerFactory() - Constructor for class edu.umd.cs.psl.reasoner.bool.UAIFormatReasonerFactory

ub - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Upper bounds on variables

UIFullConfidenceAnalysisResult - Class in edu.umd.cs.psl.evaluation.resultui

UIFullConfidenceAnalysisResult(FullConfidenceAnalysisResult) - Constructor for class edu.umd.cs.psl.evaluation.resultui.UIFullConfidenceAnalysisResult

UIFullInferenceResult - Class in edu.umd.cs.psl.evaluation.resultui

UIFullInferenceResult(Database, FullInferenceResult) - Constructor for class edu.umd.cs.psl.evaluation.resultui.UIFullInferenceResult

UnforgivingGroundSliceRandOM - Class in edu.umd.cs.psl.application.learning.weight.random

A GroundSliceRandOM learning algorithm that constrains the ground truth to be within an L1-ball centered on the mode of the energy function's optimum.

UnforgivingGroundSliceRandOM(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.random.UnforgivingGroundSliceRandOM

UniformSampler - Class in edu.umd.cs.psl.sampler

UniformSampler(int, int) - Constructor for class edu.umd.cs.psl.sampler.UniformSampler

UniqueID - Interface in edu.umd.cs.psl.model.argument

A unique identifier for a distinct entity.

UNOWNED_VAR - Static variable in class edu.umd.cs.psl.optimizer.conic.program.LinearConstraint

unregisterAtomEventListener(Set<AtomEvent.Type>, AtomEvent.Listener) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Unregisters a listener for any event types in a set.

unregisterAtomEventListener(Set<AtomEvent.Type>, StandardPredicate, AtomEvent.Listener) - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Unregisters a listener for any event types in a set related to RandomVariableAtoms with a given StandardPredicate.

unregisterClauseForEvents(AtomEventFramework, Set<AtomEvent.Type>, Kernel) - Method in class edu.umd.cs.psl.model.formula.FormulaAnalysis.DNFClause

unregisterForAtomEvents(AtomEventFramework, GroundKernelStore) - Method in class edu.umd.cs.psl.application.topicmodel.kernel.LogLoss

unregisterForAtomEvents(AtomEventFramework, GroundKernelStore) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

unregisterForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.AbstractKernel

Unregisters from a specific AtomEventFrameWork to no longer handle atom events.

unregisterForAtomEvents(AtomEventFramework, GroundKernelStore) - Method in interface edu.umd.cs.psl.model.kernel.Kernel

Stops updating a GroundKernelStore in response to AtomEvents from an AtomEventFramework and unregisters with that AtomEventFramework if it no longer needs to listen for AtomEvents from it.

unregisterForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintKernel

unregisterForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.SymmetryConstraintKernel

unregisterForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractRuleKernel

unregisterForAtomEvents(AtomEventFramework) - Method in class edu.umd.cs.psl.model.kernel.setdefinition.SetDefinitionKernel

unregisterForConicProgramEvents(ConicProgramListener) - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

unregisterGroundKernel(GroundKernel) - Method in class edu.umd.cs.psl.model.atom.GroundAtom

Unregisters a ground kernel, so that it no longer receives update events.

unregisterModelObserver(ModelEvent.Listener) - Method in class edu.umd.cs.psl.model.Model

Unregisters an observer so it will no longer receive ModelEvents from this model.

updateLagrange() - Method in class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

updateParameters() - Method in class edu.umd.cs.psl.application.learning.weight.maxmargin.LossAugmentingGroundKernel

updateParameters() - Method in class edu.umd.cs.psl.application.topicmodel.kernel.GroundLogLoss

updateParameters() - Method in interface edu.umd.cs.psl.model.kernel.GroundKernel

Notifies this GroundKernel that the parameterization of its parent Kernel has changed.

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundLinearConstraint

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.linearconstraint.GroundValueConstraint

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundDomainRangeConstraint

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.predicateconstraint.GroundSymmetryConstraint

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.rule.AbstractGroundRule

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundEmptySetDefinition

updateParameters() - Method in class edu.umd.cs.psl.model.kernel.setdefinition.GroundSetDefinition

updateProposalVariance(int, int) - Method in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

updateProposalVariance(int, int) - Method in class edu.umd.cs.psl.application.learning.weight.random.GroundMetropolisRandOM

updateProposalVariance(int, int) - Method in class edu.umd.cs.psl.application.learning.weight.random.MetropolisRandOM

Updater - Interface in edu.umd.cs.psl.database.loading

updateSparse2DByVars(SparseDoubleMatrix2D, List<SparseDoubleMatrix2D>) - Method in class edu.umd.cs.psl.optimizer.conic.partition.ConicProgramPartition

updateVariablesForWeightLearning(Partition, StandardPredicate, Database) - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

USE_STRING_ID_DEFAULT - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Default value for the USE_STRING_ID_KEY property

USE_STRING_ID_KEY - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Key for boolean property of whether to use RDBMSUniqueStringID as a UniqueID.

userTime() - Method in class edu.umd.cs.psl.optimizer.lbfgs.Timer

Returns user time in nanoseconds.

V

value - Variable in class edu.umd.cs.psl.model.atom.GroundAtom

VALUE_COLUMN_DEFAULT - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Default value for the VALUE_COLUMN_KEY property

VALUE_COLUMN_KEY - Static variable in class edu.umd.cs.psl.database.rdbms.RDBMSDataStore

Key for String property for the name of the value column in the database.

valueColumn() - Method in interface edu.umd.cs.psl.database.rdbms.RDBMSPredicateHandle

valueOf(String) - Static method in enum edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin.LossBalancingType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin.NormScalingType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator.Metric

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics.BinaryClass

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.evaluation.statistics.RankingScore

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.groovy.PredicateConstraint

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.groovy.SetComparison

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.groovy.syntax.OIPModifier

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.model.argument.ArgumentType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.model.atom.AtomEvent.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.model.formula.Tnorm

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.model.kernel.BindingMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.model.ModelEvent.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.optimizer.conic.program.ConeType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.optimizer.conic.program.ConicProgramEvent

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.reasoner.bool.AD3Reasoner.Algorithm

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner.Task

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum edu.umd.cs.psl.reasoner.function.FunctionComparator

Returns the enum constant of this type with the specified name.

values() - Static method in enum edu.umd.cs.psl.application.learning.weight.maxmargin.L1MaxMargin.LossBalancingType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.application.learning.weight.maxmargin.MaxMargin.NormScalingType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.database.rdbms.driver.H2DatabaseDriver.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.evaluation.statistics.ContinuousPredictionComparator.Metric

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.evaluation.statistics.DiscretePredictionStatistics.BinaryClass

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.evaluation.statistics.RankingScore

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.groovy.PredicateConstraint

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.groovy.SetComparison

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.groovy.syntax.OIPModifier

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.model.argument.ArgumentType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.model.atom.AtomEvent.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.model.formula.Tnorm

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.model.kernel.BindingMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.model.kernel.predicateconstraint.DomainRangeConstraintType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.model.ModelEvent.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.optimizer.conic.program.ConeType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.optimizer.conic.program.ConicProgramEvent

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.reasoner.bool.AD3Reasoner.Algorithm

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner.Task

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum edu.umd.cs.psl.reasoner.function.FunctionComparator

Returns an array containing the constants of this enum type, in the order they are declared.

Variable - Class in edu.umd.cs.psl.model.argument

A variable Term.

Variable(String) - Constructor for class edu.umd.cs.psl.model.argument.Variable

Constructs a Variable, given a name.

Variable - Class in edu.umd.cs.psl.optimizer.conic.program

variable() - Method in class edu.umd.cs.psl.parser.PSLParser.ArgumentContext

variable() - Method in class edu.umd.cs.psl.parser.PSLParser

VariableAssignment - Class in edu.umd.cs.psl.model.atom

Maintains a mapping from Variables to GroundTerms, i.e.

VariableAssignment(int) - Constructor for class edu.umd.cs.psl.model.atom.VariableAssignment

Constructor parameterized by an initial size.

VariableAssignment() - Constructor for class edu.umd.cs.psl.model.atom.VariableAssignment

Default constructor with size=4.

variables - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Ordered list of variables for looking up indices in z

VariableSetTerm - Class in edu.umd.cs.psl.model.set.term

VariableSetTerm(Variable, ArgumentType) - Constructor for class edu.umd.cs.psl.model.set.term.VariableSetTerm

VariableTypeMap - Class in edu.umd.cs.psl.model.argument

A hashed storage class for arguments, keyed on their associated variables.

VariableTypeMap() - Constructor for class edu.umd.cs.psl.model.argument.VariableTypeMap

variance - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderMetropolisRandOM

variance - Variable in class edu.umd.cs.psl.application.learning.weight.random.FirstOrderSliceRandOM

varLocations - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Lists of local variable locations for updating consensus variables

verifyCheckedIn() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

verifyCheckedIn() - Method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

verifyCheckedOut() - Method in class edu.umd.cs.psl.optimizer.conic.program.ConicProgram

verifyCheckedOut() - Method in class edu.umd.cs.psl.optimizer.conic.util.Dualizer

visitArgument(PSLParser.ArgumentContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.argument().

visitArgument(PSLParser.ArgumentContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.argument().

visitArgumentType(PSLParser.ArgumentTypeContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.argumentType().

visitArgumentType(PSLParser.ArgumentTypeContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.argumentType().

visitAtom(Atom) - Method in class edu.umd.cs.psl.database.rdbms.Formula2SQL

visitAtom(Atom) - Method in class edu.umd.cs.psl.model.formula.traversal.AbstractFormulaTraverser

visitAtom(Atom) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaEvaluator

visitAtom(Atom) - Method in class edu.umd.cs.psl.model.formula.traversal.FormulaGrounder

Visits an Atom in the Formula and replaces all Variables in the Atom's arguments with assignments from the VariableAssignment or ResultsList passed into the constructor, while preserving all GroundTerms.

visitAtom(Atom) - Method in interface edu.umd.cs.psl.model.formula.traversal.FormulaTraverser

visitAtom(PSLParser.AtomContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.atom().

visitAtom(PSLParser.AtomContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.atom().

visitConstant(PSLParser.ConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.constant().

visitConstant(PSLParser.ConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.constant().

visitConstraint(PSLParser.ConstraintContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.constraint().

visitConstraint(PSLParser.ConstraintContext) - Method in class edu.umd.cs.psl.parser.PSLModelLoader

visitConstraint(PSLParser.ConstraintContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.constraint().

visitConstraintType(PSLParser.ConstraintTypeContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.constraintType().

visitConstraintType(PSLParser.ConstraintTypeContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.constraintType().

visitErrorNode(ErrorNode) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

The default implementation does nothing.

visitExpression(PSLParser.ExpressionContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.expression(int).

visitExpression(PSLParser.ExpressionContext) - Method in class edu.umd.cs.psl.parser.PSLModelLoader

visitExpression(PSLParser.ExpressionContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.expression(int).

visitIntConstant(PSLParser.IntConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.intConstant().

visitIntConstant(PSLParser.IntConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.intConstant().

visitKernel(PSLParser.KernelContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.kernel().

visitKernel(PSLParser.KernelContext) - Method in class edu.umd.cs.psl.parser.PSLModelLoader

visitKernel(PSLParser.KernelContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.kernel().

visitPredicate(PSLParser.PredicateContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.predicate().

visitPredicate(PSLParser.PredicateContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.predicate().

visitPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.predicateDefinition().

visitPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in class edu.umd.cs.psl.parser.PSLModelLoader

visitPredicateDefinition(PSLParser.PredicateDefinitionContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.predicateDefinition().

visitProgram(PSLParser.ProgramContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.program().

visitProgram(PSLParser.ProgramContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.program().

visitStrConstant(PSLParser.StrConstantContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.strConstant().

visitStrConstant(PSLParser.StrConstantContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.strConstant().

visitTerminal(TerminalNode) - Method in class edu.umd.cs.psl.parser.PSLBaseListener

The default implementation does nothing.

visitVariable(PSLParser.VariableContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.variable().

visitVariable(PSLParser.VariableContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.variable().

visitWeight(PSLParser.WeightContext) - Method in class edu.umd.cs.psl.parser.PSLBaseVisitor

Visit a parse tree produced by PSLParser.weight().

visitWeight(PSLParser.WeightContext) - Method in interface edu.umd.cs.psl.parser.PSLVisitor

Visit a parse tree produced by PSLParser.weight().

VotedPerceptron - Class in edu.umd.cs.psl.application.learning.weight.maxlikelihood

TODO: rewrite class documentation to describe general gradient-based learning algorithms TODO: refactor class so loss augmentation is a strategy that can only be applied to inference-based learning objectives Learns new weights for the CompatibilityKernels in a Model using the voted perceptron algorithm.

VotedPerceptron(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron

VotedPerceptron.IntermediateState - Class in edu.umd.cs.psl.application.learning.weight.maxlikelihood

Intermediate state object to notify the registered observers.

VotedPerceptron.IntermediateState(int, int) - Constructor for class edu.umd.cs.psl.application.learning.weight.maxlikelihood.VotedPerceptron.IntermediateState

W

W_LEARNING_GAP_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for W_LEARNING_GAP_KEY

W_LEARNING_GAP_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for positive integer property indicating the number of EM iterations to between weight learning steps.

WARMUP_ROUNDS_DEFAULT - Static variable in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

Default value for WARMUP_ROUNDS_KEY

WARMUP_ROUNDS_KEY - Static variable in class edu.umd.cs.psl.application.learning.weight.em.PairedDualLearner

Key for Integer property that indicates how many rounds of paired-dual learning to run before beginning to update the weights (parameter K in the ICML paper)

weight - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityAveragingRuleKernel

weight - Variable in class edu.umd.cs.psl.model.kernel.rule.CompatibilityRuleKernel

Weight - Class in edu.umd.cs.psl.model.parameters

Weight() - Constructor for class edu.umd.cs.psl.model.parameters.Weight

Weight(double) - Constructor for class edu.umd.cs.psl.model.parameters.Weight

weight() - Method in class edu.umd.cs.psl.parser.PSLParser.KernelContext

weight() - Method in class edu.umd.cs.psl.parser.PSLParser

WEIGHT_LEARNING_DEFAULT - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Default value for WEIGHT_LEARNING_KEY

WEIGHT_LEARNING_KEY - Static variable in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

Key for Boolean property indicating whether to perform pseudo-likelihood weight learning in the EM loop.

WeightedDistanceCompletePartitioner - Class in edu.umd.cs.psl.optimizer.conic.partition

WeightedDistanceCompletePartitioner(ConfigBundle) - Constructor for class edu.umd.cs.psl.optimizer.conic.partition.WeightedDistanceCompletePartitioner

WeightedObjectiveTerm - Interface in edu.umd.cs.psl.reasoner.admm

An ADMMObjectiveTerm with a scalar coefficient, i.e., it is of the form f(x) = weight * g(x).

weightLearning() - Method in class edu.umd.cs.psl.application.topicmodel.LatentTopicNetwork

WeightLearningApplication - Class in edu.umd.cs.psl.application.learning.weight

Abstract class for learning the weights of CompatibilityKernels in a Model from data.

WeightLearningApplication(Model, Database, Database, ConfigBundle) - Constructor for class edu.umd.cs.psl.application.learning.weight.WeightLearningApplication

weightType - Static variable in class edu.umd.cs.psl.util.graph.partition.hierarchical.HierarchicalPartitioning

WithinBoundsFilter - Class in edu.umd.cs.psl.evaluation.statistics.filter

WithinBoundsFilter(double[]) - Constructor for class edu.umd.cs.psl.evaluation.statistics.filter.WithinBoundsFilter

workOffJobQueue() - Method in class edu.umd.cs.psl.model.atom.AtomEventFramework

Processes all pending AtomJobs.

write - Variable in class edu.umd.cs.psl.util.datasplitter.builddbstep.DBDefinition

writeConfiguration(ConfigBundle, String) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writeModel(BufferedWriter) - Method in class edu.umd.cs.psl.reasoner.bool.AD3Reasoner

writeModel(BufferedWriter) - Method in class edu.umd.cs.psl.reasoner.bool.UAIFormatReasoner

writeModel(BufferedWriter) - Method in class edu.umd.cs.psl.reasoner.ExecutableReasoner

writeModel(Model) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writeModel(Model, String) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writeObject(String, O) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writePartition - Variable in class edu.umd.cs.psl.database.rdbms.RDBMSDatabase

The partition ID in which this database writes.

writeResult(String) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writeResult(Object) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writeResultLn(String) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

writeResultLn(Object) - Method in class edu.umd.cs.psl.ui.experiment.report.ExperimentReport

WS - Static variable in class edu.umd.cs.psl.parser.PSLLexer

WS - Static variable in class edu.umd.cs.psl.parser.PSLParser

X

x - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

Y

y - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

Z

z - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner

Consensus vector

zIndices - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMObjectiveTerm

zIndices - Variable in class edu.umd.cs.psl.reasoner.admm.ADMMReasoner.Hyperplane

zMult(DoubleMatrix1D, DoubleMatrix1D, double, double, boolean) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver.SchurComplement

zMult(DoubleMatrix1D, DoubleMatrix1D) - Method in class edu.umd.cs.psl.optimizer.conic.ipm.solver.BlockSolver.SchurComplement

_

_ATN - Static variable in class edu.umd.cs.psl.parser.PSLLexer

_ATN - Static variable in class edu.umd.cs.psl.parser.PSLParser

_decisionToDFA - Static variable in class edu.umd.cs.psl.parser.PSLLexer

_decisionToDFA - Static variable in class edu.umd.cs.psl.parser.PSLParser

_p - Variable in class edu.umd.cs.psl.parser.PSLParser.ExpressionContext

_serializedATN - Static variable in class edu.umd.cs.psl.parser.PSLLexer

_serializedATN - Static variable in class edu.umd.cs.psl.parser.PSLParser

_sharedContextCache - Static variable in class edu.umd.cs.psl.parser.PSLLexer

_sharedContextCache - Static variable in class edu.umd.cs.psl.parser.PSLParser

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