com.cra.figaro.algorithm.sampling

AnytimeProbEvidenceSampler

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

    A class representing the actor running the algorithm.

Abstract Value Members

  1. abstract def computedResult: Double

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

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

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

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

    Attributes
    protected
    Definition Classes
    Sampler

Concrete Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

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

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

    Definition Classes
    Any
  6. var active: Boolean

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

    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
  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  9. val blockSize: Int

    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
  10. def cleanUp(): Unit

    Removes the evidence provided in the constructor from the universe.

    Removes the evidence provided in the constructor from the universe.

    Definition Classes
    ProbEvidenceAlgorithmAlgorithm
  11. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. val denominator: Double

    Definition Classes
    ProbEvidenceAlgorithm
  13. def doKill(): Unit

    Attributes
    protected
    Definition Classes
    AnytimeAlgorithm
  14. def doResume(): Unit

    Attributes
    protected
    Definition Classes
    AnytimeAlgorithm
  15. def doStart(): Unit

    Attributes
    protected
    Definition Classes
    AnytimeAlgorithm
  16. def doStop(): Unit

    Attributes
    protected
    Definition Classes
    AnytimeAlgorithm
  17. final def eq(arg0: AnyRef): Boolean

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

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

    Definition Classes
    ProbEvidenceAlgorithm
  20. def finalize(): Unit

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

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

    A handler of services provided by the algorithm.

    A handler of services provided by the algorithm.

    Definition Classes
    AnytimeProbEvidenceAnytime
  23. def hashCode(): Int

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

    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

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

    Definition Classes
    Any
  27. def kill(): Unit

    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

    The computed log probability of evidence

    The computed log probability of evidence

    Definition Classes
    ProbEvidenceAlgorithm
  29. final def ne(arg0: AnyRef): Boolean

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

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

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

    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
  33. def probEvidence: Double

    The computed probability of evidence

    The computed probability of evidence

    Definition Classes
    ProbEvidenceAlgorithm
  34. def probabilityOfEvidence(): Double

    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
  35. def resume(): Unit

    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
  36. def runStep(): Unit

    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
  37. var runner: Runner

    The actor running the algorithm.

    The actor running the algorithm.

    Attributes
    protected
    Definition Classes
    Anytime
  38. def start(): Unit

    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
  39. def stop(): Unit

    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
  40. def stopUpdate(): Unit

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

    Definition Classes
    AnyRef
  42. def toString(): String

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

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

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

    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