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

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

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List of all members.

Classes
class	Sampler
Public Member Functions
SampledDistribution	_infer () throws Exception
	LiftedBackwardSampling (GroundBLN gbln) throws Exception
Package Attributes
HashMap< BeliefNode, Integer >	node2class = new HashMap<BeliefNode, Integer>()

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Detailed Description

Definition at line 20 of file LiftedBackwardSampling.java.

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Constructor & Destructor Documentation

edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::LiftedBackwardSampling

(

GroundBLN

gbln

)

throws Exception [inline]

Definition at line 27 of file LiftedBackwardSampling.java.

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Member Function Documentation

SampledDistribution edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::_infer

(

)

throws Exception [inline, virtual]

Implements edu::tum::cs::bayesnets::inference::Sampler.

Definition at line 32 of file LiftedBackwardSampling.java.

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Member Data Documentation

HashMap<BeliefNode,Integer> edu::tum::cs::srl::bayesnets::inference::LiftedBackwardSampling::node2class = new HashMap<BeliefNode, Integer>() [package]

a mapping from belief node objects to integers identifying equivalence classes with respect to the algorithm

Definition at line 25 of file LiftedBackwardSampling.java.

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

• LiftedBackwardSampling.java