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

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

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List of all members.

Public Member Functions
SampledDistribution	_infer () throws Exception
	BNSampler (AbstractGroundBLN gbln, Class<?extends edu.tum.cs.bayesnets.inference.Sampler > samplerClass) throws Exception
String	getAlgorithmName ()
SampledDistribution	pollResults () throws CloneNotSupportedException
void	setMaxTrials (int maxTrials)
void	setSkipFailedSteps (boolean canSkip)
Protected Member Functions
edu.tum.cs.bayesnets.inference.Sampler	getSampler () throws Exception
Protected Attributes
int[]	evidenceDomainIndices
int	maxTrials
edu.tum.cs.bayesnets.inference.Sampler	sampler
Class<?extends edu.tum.cs.bayesnets.inference.Sampler >	samplerClass
boolean	skipFailedSteps

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Detailed Description

Bayesian Network Sampler - reduces inference in relational models to standard Bayesian network inference in the ground (auxiliary) network

Author:

jain

Definition at line 13 of file BNSampler.java.

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Constructor & Destructor Documentation

edu::tum::cs::srl::bayesnets::inference::BNSampler::BNSampler	(	AbstractGroundBLN	gbln,
		Class<?extends edu.tum.cs.bayesnets.inference.Sampler >	samplerClass
	)			throws Exception [inline]

Definition at line 26 of file BNSampler.java.

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Member Function Documentation

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

(

)

throws Exception [inline, virtual]

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

Definition at line 43 of file BNSampler.java.

String edu::tum::cs::srl::bayesnets::inference::BNSampler::getAlgorithmName

(

)

[inline]

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

Definition at line 71 of file BNSampler.java.

edu.tum.cs.bayesnets.inference.Sampler edu::tum::cs::srl::bayesnets::inference::BNSampler::getSampler

(

)

throws Exception [inline, protected]

Reimplemented in edu::tum::cs::srl::bayesnets::inference::SATIS, and edu::tum::cs::srl::bayesnets::inference::SATISExGibbs.

Definition at line 66 of file BNSampler.java.

SampledDistribution edu::tum::cs::srl::bayesnets::inference::BNSampler::pollResults

(

)

throws CloneNotSupportedException [inline]

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

Definition at line 75 of file BNSampler.java.

void edu::tum::cs::srl::bayesnets::inference::BNSampler::setMaxTrials

(

int

maxTrials

)

[inline]

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

Definition at line 34 of file BNSampler.java.

void edu::tum::cs::srl::bayesnets::inference::BNSampler::setSkipFailedSteps

(

boolean

canSkip

)

[inline]

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

Definition at line 38 of file BNSampler.java.

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Member Data Documentation

int [] edu::tum::cs::srl::bayesnets::inference::BNSampler::evidenceDomainIndices [protected]

the evidence we are working on

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

Definition at line 24 of file BNSampler.java.

int edu::tum::cs::srl::bayesnets::inference::BNSampler::maxTrials [protected]

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

Definition at line 14 of file BNSampler.java.

edu.tum.cs.bayesnets.inference.Sampler edu::tum::cs::srl::bayesnets::inference::BNSampler::sampler [protected]

Definition at line 20 of file BNSampler.java.

Class<? extends edu.tum.cs.bayesnets.inference.Sampler> edu::tum::cs::srl::bayesnets::inference::BNSampler::samplerClass [protected]

Definition at line 19 of file BNSampler.java.

boolean edu::tum::cs::srl::bayesnets::inference::BNSampler::skipFailedSteps [protected]

whether steps that exceed the max number of trials should just be skipped rather than raising an exception

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

Definition at line 18 of file BNSampler.java.

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

• BNSampler.java