Package org.palladiosimulator.envdyn.api.entity.bn

Class BayesianNetwork<I extends tools.mdsd.probdist.api.entity.Value<?>>

java.lang.Object

tools.mdsd.probdist.api.entity.ProbabilityDistributionFunction<List<InputValue<I>>>

org.palladiosimulator.envdyn.api.entity.bn.BayesianNetwork<I>

All Implemented Interfaces:

ProbabilisticModel<InputValue<I>>, tools.mdsd.probdist.api.entity.ProbabilityMeasure<List<InputValue<I>>>, tools.mdsd.probdist.api.entity.Sampler<List<InputValue<I>>>, tools.mdsd.probdist.api.random.ISeedable

public class BayesianNetwork<I extends tools.mdsd.probdist.api.entity.Value<?>>
extends tools.mdsd.probdist.api.entity.ProbabilityDistributionFunction<List<InputValue<I>>>
implements ProbabilisticModel<InputValue<I>>

Field Summary

Fields inherited from class tools.mdsd.probdist.api.entity.ProbabilityDistributionFunction

distSkeleton, initialized

Constructor Summary

Constructors

Constructor	Description
BayesianNetwork(tools.mdsd.probdist.distributiontype.ProbabilityDistributionSkeleton distSkeleton, GroundProbabilisticNetwork groundNetwork, tools.mdsd.probdist.api.factory.IProbabilityDistributionFactory<I> probabilityDistributionFactory)

Method Summary

Modifier and Type	Method	Description
GroundProbabilisticNetwork	get()
List<GroundRandomVariable>	getGroundVariables()
List<LocalProbabilisticNetwork>	getLocalProbabilisticNetworks()
protected tools.mdsd.probdist.api.entity.ProbabilityDistributionFunction<I>	getPDF(GroundRandomVariable variable, List<InputValue<I>> history)
static Set<TemplateVariable>	getTemplates(LocalProbabilisticNetwork localNetwork)
Double	infer(List<InputValue<I>> inputs)
void	init(Optional<tools.mdsd.probdist.api.random.ISeedProvider> seedProvider)
void	learn(List<InputValue<I>> trainingData)
Double	probability(List<InputValue<I>> inputs)
List<InputValue<I>>	sample()

Methods inherited from class tools.mdsd.probdist.api.entity.ProbabilityDistributionFunction

getDistributionSkeleton

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

BayesianNetwork

public BayesianNetwork(tools.mdsd.probdist.distributiontype.ProbabilityDistributionSkeleton distSkeleton,
 GroundProbabilisticNetwork groundNetwork,
 tools.mdsd.probdist.api.factory.IProbabilityDistributionFactory<I> probabilityDistributionFactory)

Method Details

probability

public Double probability(List<InputValue<I>> inputs)

Specified by:

probability in interface tools.mdsd.probdist.api.entity.ProbabilityMeasure<I extends tools.mdsd.probdist.api.entity.Value<?>>

init

public void init(Optional<tools.mdsd.probdist.api.random.ISeedProvider> seedProvider)

Specified by:

init in interface tools.mdsd.probdist.api.random.ISeedable

sample

public List<InputValue<I>> sample()

Specified by:

sample in interface tools.mdsd.probdist.api.entity.Sampler<I extends tools.mdsd.probdist.api.entity.Value<?>>

infer

public Double infer(List<InputValue<I>> inputs)

Specified by:

infer in interface ProbabilisticModel<I extends tools.mdsd.probdist.api.entity.Value<?>>

learn

public void learn(List<InputValue<I>> trainingData)

Specified by:

learn in interface ProbabilisticModel<I extends tools.mdsd.probdist.api.entity.Value<?>>

getTemplates

public static Set<TemplateVariable> getTemplates(LocalProbabilisticNetwork localNetwork)

get

public GroundProbabilisticNetwork get()

getLocalProbabilisticNetworks

public List<LocalProbabilisticNetwork> getLocalProbabilisticNetworks()

getGroundVariables

public List<GroundRandomVariable> getGroundVariables()

getPDF

protected tools.mdsd.probdist.api.entity.ProbabilityDistributionFunction<I> getPDF(GroundRandomVariable variable,
 List<InputValue<I>> history)