edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler Class Reference

Inheritance diagram for edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler:

Classes
class	BackSamplingDistribution
Public Member Functions
SampledDistribution	_infer () throws Exception
void	prepareInference (int[] evidenceDomainIndices) throws Exception
	Sampler (BeliefNetworkEx bn) throws Exception
Protected Member Functions
BackSamplingDistribution	getBackSamplingDistribution (BeliefNode node, WeightedSample s)
Protected Attributes
Cache2D< Integer, Long, BackSamplingDistribution >	distCache
Stopwatch	distSW
Cache2D< String, Integer, Double >	probCache
Stopwatch	probSW
boolean	useDistributionCache = true
boolean	useProbabilityCache = false

Detailed Description

the actual backward sampler (largely equivalent to BackwardSamplingWithChildren)

Author:: jain

Definition at line 88 of file LiftedBackwardSampling.java.

Constructor & Destructor Documentation

edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler::Sampler ( BeliefNetworkEx bn ) throws Exception [inline]

Reimplemented from edu::tum::cs::bayesnets::inference::Sampler.

Definition at line 318 of file LiftedBackwardSampling.java.

Member Function Documentation

SampledDistribution edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler::_infer ( ) throws Exception [inline, virtual]

Reimplemented from edu::tum::cs::bayesnets::inference::BackwardSampling.

Definition at line 330 of file LiftedBackwardSampling.java.

BackSamplingDistribution edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler::getBackSamplingDistribution	(	BeliefNode	node,
		WeightedSample	s
	)			`[inline, protected]`

Reimplemented from edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors.

Definition at line 261 of file LiftedBackwardSampling.java.

void edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler::prepareInference ( int[] evidenceDomainIndices ) throws Exception [inline]

Reimplemented from edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors.

Definition at line 323 of file LiftedBackwardSampling.java.