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com.cra.figaro.algorithm

AnytimeProbEvidence

trait AnytimeProbEvidence extends ProbEvidenceAlgorithm with Anytime

Anytime algorithms that compute probability of evidence. A class that implements this trait must implement initialize, runStep, and computeProbEvidence methods.

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  1. AnytimeProbEvidence
  2. Anytime
  3. ProbEvidenceAlgorithm
  4. Algorithm
  5. AnyRef
  6. Any
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Type Members

  1. class Runner extends Actor

    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 additionalEvidenceAlgorithm(evidence: List[NamedEvidence[_]]): ProbEvidenceAlgorithm

    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
    ProbEvidenceAlgorithm
  2. abstract def computedResult: Double
    Attributes
    protected
    Definition Classes
    ProbEvidenceAlgorithm
  3. abstract 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
    Anytime
  4. abstract val universe: Universe
    Definition Classes
    ProbEvidenceAlgorithm

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. val active: Boolean
    Attributes
    protected
    Definition Classes
    Algorithm
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def awaitResponse(response: Future[Any], duration: Duration): Response
    Attributes
    protected
    Definition Classes
    Anytime
  7. 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
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. val customConf: Config

    The actor running the algorithm.

    The actor running the algorithm.

    Definition Classes
    Anytime
  10. val denominator: Double
    Definition Classes
    ProbEvidenceAlgorithm
  11. def doKill(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  12. def doResume(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  13. def doStart(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  14. def doStop(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    AnytimeAlgorithm
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. val evidence: List[NamedEvidence[_]]
    Definition Classes
    ProbEvidenceAlgorithm
  18. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  20. def handle(service: Service): Response

    A handler of services provided by the algorithm.

    A handler of services provided by the algorithm.

    Definition Classes
    AnytimeProbEvidenceAnytime
  21. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  22. 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
  23. def isActive: Boolean
    Definition Classes
    Algorithm
  24. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  25. 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
  26. def logProbEvidence: Double

    The computed log probability of evidence.

    The computed log probability of evidence.

    Definition Classes
    ProbEvidenceAlgorithm
  27. implicit val messageTimeout: Timeout

    default message timeout.

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

    Definition Classes
    Anytime
  28. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  29. final def notify(): Unit
    Definition Classes
    AnyRef
  30. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  31. 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
  32. def probEvidence: Double

    The computed probability of evidence.

    The computed probability of evidence.

    Definition Classes
    ProbEvidenceAlgorithm
  33. 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.

  34. 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
  35. val runner: ActorRef
    Definition Classes
    Anytime
  36. val running: Boolean
    Definition Classes
    Anytime
  37. def shutdown: Unit

    Release all resources from this anytime algorithm.

    Release all resources from this anytime algorithm.

    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

    Optional function to run when the algorithm is stopped (not killed).

    Optional function to run when the algorithm is stopped (not killed). Used in samplers to update lazy values.

    Definition Classes
    Anytime
  41. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  42. val system: ActorSystem
    Definition Classes
    Anytime
  43. def toString(): String
    Definition Classes
    AnyRef → Any
  44. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  46. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Anytime

Inherited from ProbEvidenceAlgorithm

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped