Package | Description |
---|---|
net.sf.tweety.logics.ml | |
net.sf.tweety.logics.pcl | |
net.sf.tweety.logics.pcl.semantics | |
net.sf.tweety.logics.rpcl | |
net.sf.tweety.logics.rpcl.semantics |
Modifier and Type | Field and Description |
---|---|
private ProbabilityDistribution<HerbrandInterpretation> |
ApproximateNaiveMlnReasoner.prob
The approximated model of the MLN (saved for avoid double
computation).
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Modifier and Type | Method and Description |
---|---|
private ProbabilityDistribution<HerbrandInterpretation> |
ApproximateNaiveMlnReasoner.computeModel()
Computes the model of the given MLN wrt.
|
Modifier and Type | Field and Description |
---|---|
private ProbabilityDistribution<PossibleWorld> |
DefaultMeReasoner.meDistribution
The ME-distribution this reasoner bases on.
|
private ProbabilityDistribution<PossibleWorld> |
GeneralizedMeReasoner.meDistribution
The ME-distribution this reasoner bases on.
|
Modifier and Type | Method and Description |
---|---|
private ProbabilityDistribution<PossibleWorld> |
DefaultMeReasoner.computeMeDistribution()
Computes the ME-distribution this reasoner bases on.
|
private ProbabilityDistribution<PossibleWorld> |
GeneralizedMeReasoner.computeMeDistribution()
Computes the ME-distribution this reasoner bases on.
|
ProbabilityDistribution<PossibleWorld> |
DefaultMeReasoner.getMeDistribution()
Returns the ME-distribution this reasoner bases on.
|
ProbabilityDistribution<PossibleWorld> |
GeneralizedMeReasoner.getMeDistribution()
Returns the ME-distribution this reasoner bases on.
|
Modifier and Type | Method and Description |
---|---|
static <S extends Interpretation> |
ProbabilityDistribution.convexCombination(double[] factors,
ProbabilityDistribution<S>[] creators)
Computes the convex combination of the
given probability distributions P1,...,PN with parameters factors, i.e.
|
ProbabilityDistribution<T> |
ProbabilityDistribution.convexCombination(double d,
ProbabilityDistribution<T> other)
Computes the convex combination of this P1 and the
given probability distribution P2 with parameter d, i.e.
|
static <S extends Interpretation> |
ProbabilityDistribution.getUniformDistribution(java.util.Set<S> interpretations,
Signature sig)
Returns the uniform distribution on the given interpretations.
|
ProbabilityDistribution<T> |
ProbabilityDistribution.linearCombination(double d1,
double d2,
ProbabilityDistribution<T> other)
Makes a linear combination of this distribution "p1" and the given distribution "other" and
the given parameters, i.e.
|
Modifier and Type | Method and Description |
---|---|
static <S extends Interpretation> |
ProbabilityDistribution.convexCombination(double[] factors,
ProbabilityDistribution<S>[] creators)
Computes the convex combination of the
given probability distributions P1,...,PN with parameters factors, i.e.
|
ProbabilityDistribution<T> |
ProbabilityDistribution.convexCombination(double d,
ProbabilityDistribution<T> other)
Computes the convex combination of this P1 and the
given probability distribution P2 with parameter d, i.e.
|
ProbabilityDistribution<T> |
ProbabilityDistribution.linearCombination(double d1,
double d2,
ProbabilityDistribution<T> other)
Makes a linear combination of this distribution "p1" and the given distribution "other" and
the given parameters, i.e.
|
Modifier and Type | Class and Description |
---|---|
class |
CondensedProbabilityDistribution
Instances of this class represent condensed probability distributions, rf.
|
Modifier and Type | Field and Description |
---|---|
private ProbabilityDistribution<?> |
RpclMeReasoner.meDistribution
The ME-distribution for this reasoner.
|
Modifier and Type | Method and Description |
---|---|
private ProbabilityDistribution<?> |
RpclMeReasoner.computeMeDistribution()
Computes the ME-distribution for this reasoner's knowledge base.
|
ProbabilityDistribution<?> |
RpclMeReasoner.getMeDistribution()
Returns the ME-distribution this reasoner bases on.
|
Modifier and Type | Class and Description |
---|---|
class |
RpclProbabilityDistribution
Objects of this class represent probability distributions on the interpretations
of an underlying first-order signature for a relational probabilistic conditional knowledge base.
|
Modifier and Type | Method and Description |
---|---|
boolean |
RpclSemantics.satisfies(ProbabilityDistribution<?> p,
RelationalProbabilisticConditional r)
Checks whether the given probability distribution satisfies the given
conditional wrt.
|
boolean |
AveragingSemantics.satisfies(ProbabilityDistribution<?> p,
RelationalProbabilisticConditional r) |
boolean |
AggregatingSemantics.satisfies(ProbabilityDistribution<?> p,
RelationalProbabilisticConditional r) |
abstract boolean |
AbstractRpclSemantics.satisfies(ProbabilityDistribution<?> p,
RelationalProbabilisticConditional r) |
protected boolean |
AbstractRpclSemantics.satisfiesGroundConditional(ProbabilityDistribution<?> p,
RelationalProbabilisticConditional groundConditional)
Checks whether the given ground conditional is satisfied by the given distribution
wrt.
|