Uses of Class
net.sf.tweety.logics.rpcl.semantics.CondensedProbabilityDistribution

Packages that use CondensedProbabilityDistribution

Package	Description
net.sf.tweety.logics.rpcl.parser.rpclcondensedprobabilitydistributionparser
net.sf.tweety.logics.rpcl.semantics
net.sf.tweety.logics.rpcl.writers

Uses of CondensedProbabilityDistribution in net.sf.tweety.logics.rpcl.parser.rpclcondensedprobabilitydistributionparser

Methods in net.sf.tweety.logics.rpcl.parser.rpclcondensedprobabilitydistributionparser that return CondensedProbabilityDistribution

Modifier and Type	Method	Description
static CondensedProbabilityDistribution	RpclCondensedProbabilityDistributionParser.Distribution(RpclSemantics semantics, net.sf.tweety.logics.fol.syntax.FolSignature signature)
CondensedProbabilityDistribution	RpclCondensedProbabilityDistributionParser.parseCondensedProbabilityDistribution(Reader reader)

Uses of CondensedProbabilityDistribution in net.sf.tweety.logics.rpcl.semantics

Methods in net.sf.tweety.logics.rpcl.semantics that return CondensedProbabilityDistribution

Modifier and Type	Method	Description
static CondensedProbabilityDistribution	CondensedProbabilityDistribution.getRandomDistribution(RpclSemantics semantics, net.sf.tweety.logics.fol.syntax.FolSignature signature, Set<Set<net.sf.tweety.logics.commons.syntax.Constant>> equivalenceClasses)	Returns a random distribution on the given signature.
static CondensedProbabilityDistribution	CondensedProbabilityDistribution.getUniformDistribution(RpclSemantics semantics, net.sf.tweety.logics.fol.syntax.FolSignature signature, Set<Set<net.sf.tweety.logics.commons.syntax.Constant>> equivalenceClasses)	Returns the uniform distribution on the given signature.

Uses of CondensedProbabilityDistribution in net.sf.tweety.logics.rpcl.writers

Constructors in net.sf.tweety.logics.rpcl.writers with parameters of type CondensedProbabilityDistribution

Constructor	Description
DefaultCondensedProbabilityDistributionWriter(CondensedProbabilityDistribution distribution)	Creates a new writer for the given condensed probability distribution.