edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors::BackSamplingDistribution Class Reference

Inheritance diagram for edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors::BackSamplingDistribution:

[legend]

List of all members.

Public Member Functions
void	applyWeight (WeightedSample s, int sampledValue)
	BackSamplingDistribution (BackwardSamplingWithPriors sampler)
Public Attributes
Vector< Double >	parentProbs
Protected Member Functions
void	construct (int i, int[] addr, CPF cpf, int[] nodeDomainIndices)

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Detailed Description

Definition at line 16 of file BackwardSamplingWithPriors.java.

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Constructor & Destructor Documentation

edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors::BackSamplingDistribution::BackSamplingDistribution

(

BackwardSamplingWithPriors

sampler

)

[inline]

Reimplemented in edu::tum::cs::bayesnets::inference::BackwardSamplingWithChildren::BackSamplingDistribution, and edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler::BackSamplingDistribution.

Definition at line 20 of file BackwardSamplingWithPriors.java.

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Member Function Documentation

void edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors::BackSamplingDistribution::applyWeight	(	WeightedSample	s,
		int	sampledValue
	)			[inline]

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

Definition at line 63 of file BackwardSamplingWithPriors.java.

void edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors::BackSamplingDistribution::construct	(	int	i,
		int[]	addr,
		CPF	cpf,
		int[]	nodeDomainIndices
	)			[inline, protected]

recursively gets a distribution to backward sample from (represented in probs; the corresponding node states stored in states)

Parameters:

	i	the node to instantiate next (as an index into the CPF's domain product)
	addr	the current setting of node indices of the CPF's domain product
	cpf	the conditional probability function of the node we are backward sampling

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

Reimplemented in edu::tum::cs::bayesnets::inference::BackwardSamplingWithChildren::BackSamplingDistribution, and edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::Sampler::BackSamplingDistribution.

Definition at line 32 of file BackwardSamplingWithPriors.java.

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Member Data Documentation

Vector<Double> edu::tum::cs::bayesnets::inference::BackwardSamplingWithPriors::BackSamplingDistribution::parentProbs

Definition at line 18 of file BackwardSamplingWithPriors.java.

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The documentation for this class was generated from the following file:

• BackwardSamplingWithPriors.java