t

com.cra.figaro.algorithm.filtering

OneTimeFiltering

trait OneTimeFiltering extends Filtering with OneTime

One-time filtering algorithms. An implementation of OneTimeFiltering must implement the advanceTime, computeCurrentDistribution, and computeCurrentExpectation methods.

Linear Supertypes
OneTime, Filtering, Algorithm, AnyRef, Any
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Inherited
  1. OneTimeFiltering
  2. OneTime
  3. Filtering
  4. Algorithm
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def advanceTime(evidence: Seq[NamedEvidence[_]]): Unit

    Advance the filtering one time step, conditioning on the given evidence at the new time point.

    Advance the filtering one time step, conditioning on the given evidence at the new time point.

    Definition Classes
    Filtering
  2. abstract def computeCurrentDistribution[T](reference: Reference[T]): Stream[(Double, T)]

    Returns the distribution over the element referred to by the reference at the current time point.

    Returns the distribution over the element referred to by the reference at the current time point.

    Attributes
    protected
    Definition Classes
    Filtering
  3. abstract def computeCurrentExpectation[T](reference: Reference[T], function: (T) ⇒ Double): Double

    Returns the expectation of the element referred to by the reference under the given function at the current time point.

    Returns the expectation of the element referred to by the reference under the given function at the current time point.

    Attributes
    protected
    Definition Classes
    Filtering
  4. abstract def run(): Unit

    Run the algorithm, performing its computation to completion.

    Run the algorithm, performing its computation to completion.

    Definition Classes
    OneTime

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 cleanUp(): Unit

    Called when the algorithm is killed.

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

    Definition Classes
    Algorithm
  7. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def computeCurrentProbability[T](reference: Reference[T], predicate: (T) ⇒ Boolean): Double

    Returns the probability that the element referred to by the reference satisfies the given predicate at the current time point.

    Returns the probability that the element referred to by the reference satisfies the given predicate at the current time point.

    Attributes
    protected
    Definition Classes
    Filtering
  9. def currentDistribution[T](reference: Reference[T]): Stream[(Double, T)]

    Returns the distribution over the element referred to by the reference at the current time point.

    Returns the distribution over the element referred to by the reference at the current time point.

    Definition Classes
    OneTimeFilteringFiltering
  10. def currentExpectation[T](reference: Reference[T], function: (T) ⇒ Double): Double

    Returns the expectation of the element referred to by the reference under the given function at the current time point.

    Returns the expectation of the element referred to by the reference under the given function at the current time point.

    Definition Classes
    OneTimeFilteringFiltering
  11. def currentProbability[T](reference: Reference[T], predicate: (T) ⇒ Boolean): Double

    Returns the probability that the element referred to by the reference satisfies the given predicate at the current time point.

    Returns the probability that the element referred to by the reference satisfies the given predicate at the current time point.

    Definition Classes
    OneTimeFilteringFiltering
  12. def currentProbability[T](reference: Reference[T], value: T): Double

    Returns the probability that the element referred to by the reference produces the given value at the current time point.

    Returns the probability that the element referred to by the reference produces the given value at the current time point.

    Definition Classes
    Filtering
  13. def doKill(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  14. def doResume(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  15. def doStart(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  16. def doStop(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  19. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  21. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  22. def initialize(): Unit

    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.

    Definition Classes
    Algorithm
  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. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  27. final def notify(): Unit
    Definition Classes
    AnyRef
  28. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  29. 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
  30. 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
  31. 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
  32. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  33. def toString(): String
    Definition Classes
    AnyRef → Any
  34. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  35. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from OneTime

Inherited from Filtering

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped