Trait

com.cra.figaro.algorithm

Algorithm

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trait Algorithm extends AnyRef

The general class of Figaro algorithms. The Algorithm class is defined to generalize both one-time and anytime algorithms, using a start/stop/resume/kill mechanism.

Linear Supertypes
AnyRef, Any
Known Subclasses
Anytime, AnytimeDecisionMetropolisHastings, AnytimeElementSampler, AnytimeMPE, AnytimeMPESampler, AnytimeMarginalMAP, AnytimeMetropolisHastings, AnytimeMetropolisHastingsAnnealer, AnytimeParticleBeliefPropagation, AnytimeProbEvidence, AnytimeProbEvidenceMarginalMAP, AnytimeProbEvidenceSampler, AnytimeProbQuery, AnytimeProbQuerySampler, AnytimeProbabilisticBeliefPropagation, AnytimeSampler, BPSolver, BaseProbQueryAlgorithm, BaseProbQuerySampler, BaseUnweightedSampler, BeliefPropagation, ChainApplyBlockingGibbs, CollapsedProbQueryGibbs, CollapsedProbabilisticGibbs, DecisionAlgorithm, DecisionImportance, DecisionMetropolisHastings, DeterministicCollapseStrategy, ElementSampler, ExpectationMaximization, ExpectationMaximizationWithFactors, FactorSizeCollapseStrategy, FactoredAlgorithm, FactoredFrontier, Filtering, FlatBP, FlatGibbs, FlatVE, GeneralizedEM, GeneralizedOnlineEM, Gibbs, GibbsSolver, HeuristicCollapseStrategy, Importance, LazyAlgorithm, LazyVariableElimination, MMAPProbEvidenceSampler, MPEAlgorithm, MPEBeliefPropagation, MPEVariableElimination, MarginalMAPAlgorithm, MarginalMAPBeliefPropagation, MetropolisHastings, MetropolisHastingsAnnealer, MultiDecisionAlgorithm, MultiDecisionVariableElimination, OneTime, OneTimeDecisionMetropolisHastings, OneTimeElementSampler, OneTimeFiltering, OneTimeMPE, OneTimeMPESampler, OneTimeMarginalMAP, OneTimeMetropolisHastings, OneTimeMetropolisHastingsAnnealer, OneTimeMultiDecisionImportance, OneTimeMultiDecisionMetropolisHastings, OneTimeParticleBeliefPropagation, OneTimeParticleFilter, OneTimeProbEvidence, OneTimeProbEvidenceBeliefPropagation, OneTimeProbEvidenceMarginalMAP, OneTimeProbEvidenceSampler, OneTimeProbQuery, OneTimeProbQueryDecision, OneTimeProbQuerySampler, OneTimeProbabilisticBeliefPropagation, OneTimeSampler, Online, OnlineExpectationMaximization, OnlineExpectationMaximizationWithFactors, ParAnytime, ParFiltering, ParOneTime, ParOneTimeParticleFilter, ParSampler, ParSamplingAlgorithm, ParticleBeliefPropagation, ProbEvidenceAlgorithm, ProbEvidenceBeliefPropagation, ProbEvidenceMarginalMAP, ProbEvidenceSampler, ProbQueryAlgorithm, ProbQueryBeliefPropagation, ProbQueryGibbs, ProbQueryParticleBeliefPropagation, ProbQuerySampler, ProbQueryVariableElimination, ProbQueryVariableEliminationDecision, ProbabilisticBeliefPropagation, ProbabilisticGibbs, ProbabilisticVariableElimination, ProbabilisticVariableEliminationDecision, RaisingVE, RecurringCollapseStrategy, Sampler, StreamableProbQueryAlgorithm, StructuredBP, StructuredGibbs, StructuredMPEAlgorithm, StructuredMPEBP, StructuredMPEVE, StructuredMarginalMAPAlgorithm, StructuredMarginalMAPVE, StructuredProbQueryAlgorithm, StructuredVE, StructuredVEBPChooser, StructuredVEBPGibbsChooser, StructuredVEGibbsChooser, SufficientStatisticsVariableElimination, UnweightedSampler, VESolver, VariableElimination, WeightedSampler
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Abstract Value Members

  1. abstract def doKill(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
  2. abstract def doResume(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
  3. abstract def doStart(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
  4. abstract def doStop(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. var active: Boolean

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    Attributes
    protected
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. def cleanUp(): Unit

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    Called when the algorithm is killed.

    Called when the algorithm is killed. By default, does nothing. Can be overridden.

  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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    Definition Classes
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  13. def initialize(): Unit

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    Called when the algorithm is started before running any steps.

    Called when the algorithm is started before running any steps. By default, does nothing. Can be overridden.

  14. def isActive: Boolean

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  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  16. def kill(): Unit

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    Kill the algorithm so that it is inactive.

    Kill the algorithm so that it is inactive. It will no longer be able to provide answers.Throws AlgorithmInactiveException if the algorithm is not active.

  17. final def ne(arg0: AnyRef): Boolean

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  18. final def notify(): Unit

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    Definition Classes
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  19. final def notifyAll(): Unit

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    Definition Classes
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  20. def resume(): Unit

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    Resume the computation of the algorithm, if it has been stopped.

    Resume the computation of the algorithm, if it has been stopped. Throws AlgorithmInactiveException if the algorithm is not active.

  21. def start(): Unit

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    Start the algorithm and make it active.

    Start the algorithm and make it active. After it returns, the algorithm must be ready to provide answers. Throws AlgorithmActiveException if the algorithm is already active.

  22. def stop(): Unit

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    Stop the algorithm from computing.

    Stop the algorithm from computing. The algorithm is still ready to provide answers after it returns. Throws AlgorithmInactiveException if the algorithm is not active.

  23. final def synchronized[T0](arg0: ⇒ T0): T0

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  24. def toString(): String

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  25. final def wait(): Unit

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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  27. final def wait(arg0: Long): Unit

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