Trait

com.cra.figaro.algorithm.sampling

AnytimeProbEvidenceSampler

Related Doc: package sampling

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trait AnytimeProbEvidenceSampler extends AnytimeSampler with AnytimeProbEvidence

Anytime sampling algorithms that compute probability of evidence.

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Inherited
  1. AnytimeProbEvidenceSampler
  2. AnytimeProbEvidence
  3. ProbEvidenceAlgorithm
  4. AnytimeSampler
  5. Sampler
  6. Anytime
  7. Algorithm
  8. AnyRef
  9. Any
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Type Members

  1. class Runner extends Actor

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    A class representing the actor running the algorithm.

    A class representing the actor running the algorithm.

    Definition Classes
    Anytime

Abstract Value Members

  1. abstract def computedResult: Double

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    Attributes
    protected
    Definition Classes
    ProbEvidenceAlgorithm
  2. abstract def doSample(): Unit

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    Attributes
    protected
    Definition Classes
    Sampler
  3. abstract def resetCounts(): Unit

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    Attributes
    protected
    Definition Classes
    Sampler
  4. abstract val universe: Universe

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    Definition Classes
    ProbEvidenceAlgorithm
  5. abstract def update(): Unit

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    Attributes
    protected
    Definition Classes
    Sampler

Concrete Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. var active: Boolean

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    Attributes
    protected
    Definition Classes
    Algorithm
  5. def additionalEvidenceAlgorithm(evidence: List[NamedEvidence[_]]): ProbEvidenceSampler with AnytimeProbEvidenceSampler

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    The algorithm used to compute the probability of additional evidence, as created by probAdditionalEvidence.

    The algorithm used to compute the probability of additional evidence, as created by probAdditionalEvidence. This algorithm can be different to the one defined in this class. (For example, a one-time algorithm can use an anytime algorithm for additional evidence.)

    Definition Classes
    AnytimeProbEvidenceSamplerProbEvidenceAlgorithm
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def awaitResponse(response: Future[Any], duration: Duration): Response

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    Attributes
    protected
    Definition Classes
    Anytime
  8. val blockSize: Int

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    Number of samples that should be taken in a single step of the algorithm.

    Number of samples that should be taken in a single step of the algorithm.

    Definition Classes
    AnytimeSampler
  9. def cleanUp(): Unit

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    Removes the evidence provided in the constructor from the universe.

    Removes the evidence provided in the constructor from the universe.

    Definition Classes
    ProbEvidenceAlgorithmAlgorithm
  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. val customConf: Config

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    The actor running the algorithm.

    The actor running the algorithm.

    Definition Classes
    Anytime
  12. val denominator: Double

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    Definition Classes
    ProbEvidenceAlgorithm
  13. def doKill(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  14. def doResume(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  15. def doStart(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  16. def doStop(): Unit

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    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  17. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  19. val evidence: List[NamedEvidence[_]]

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    Definition Classes
    ProbEvidenceAlgorithm
  20. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  22. def handle(service: Service): Response

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    A handler of services provided by the algorithm.

    A handler of services provided by the algorithm.

    Definition Classes
    AnytimeProbEvidenceAnytime
  23. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  24. def initialize(): Unit

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    Since probability of evidence algorithms introduce additional evidence (namely, their evidence argument), into an existing universe, a mechanism must be provided for introducing the evidence when the algorithm begins and cleaning it up at the end.

    Since probability of evidence algorithms introduce additional evidence (namely, their evidence argument), into an existing universe, a mechanism must be provided for introducing the evidence when the algorithm begins and cleaning it up at the end. This is achieved with the initialize method, called when the algorithm starts, and the cleanUp method, called when the algorithm is killed.

    Definition Classes
    ProbEvidenceAlgorithmAlgorithm
  25. def isActive: Boolean

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    Definition Classes
    Algorithm
  26. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  27. 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.

    Definition Classes
    Algorithm
  28. def logProbEvidence: Double

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    The computed log probability of evidence.

    The computed log probability of evidence.

    Definition Classes
    ProbEvidenceAlgorithm
  29. implicit var messageTimeout: Timeout

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    default message timeout.

    default message timeout. Increase if queries to the algorithm fail due to timeout

    Definition Classes
    Anytime
  30. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  31. final def notify(): Unit

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    Definition Classes
    AnyRef
  32. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  33. def probAdditionalEvidence(evidence: List[NamedEvidence[_]]): ProbEvidenceAlgorithm

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    Returns an algorithm to compute the probability of the additional evidence provided.

    Returns an algorithm to compute the probability of the additional evidence provided.

    Definition Classes
    ProbEvidenceAlgorithm
  34. def probEvidence: Double

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    The computed probability of evidence.

    The computed probability of evidence.

    Definition Classes
    ProbEvidenceAlgorithm
  35. def probabilityOfEvidence(): Double

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    Returns the probability of evidence of the universe on which the algorithm operates.

    Returns the probability of evidence of the universe on which the algorithm operates. Throws AlgorithmInactiveException if the algorithm is not active.

    Definition Classes
    AnytimeProbEvidence
  36. 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.

    Definition Classes
    Algorithm
  37. def runStep(): Unit

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    Run a single step of the algorithm.

    Run a single step of the algorithm. The algorithm must be able to provide answers after each step.

    Definition Classes
    AnytimeSamplerAnytime
  38. var runner: ActorRef

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    Definition Classes
    Anytime
  39. var running: Boolean

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    Definition Classes
    Anytime
  40. def shutdown: Unit

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    Release all resources from this anytime algorithm.

    Release all resources from this anytime algorithm.

    Definition Classes
    Anytime
  41. 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.

    Definition Classes
    Algorithm
  42. 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.

    Definition Classes
    Algorithm
  43. def stopUpdate(): Unit

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    Override the stopUpdate function in anytime to call the sampler update function

    Override the stopUpdate function in anytime to call the sampler update function

    Definition Classes
    AnytimeSamplerAnytime
  44. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  45. var system: ActorSystem

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    Definition Classes
    Anytime
  46. def toString(): String

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    Definition Classes
    AnyRef → Any
  47. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  48. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  49. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from AnytimeProbEvidence

Inherited from ProbEvidenceAlgorithm

Inherited from AnytimeSampler

Inherited from Sampler

Inherited from Anytime

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped