com.cra.figaro.algorithm.sampling

AnytimeSampler

trait AnytimeSampler extends Algorithm with Anytime with Sampler

Anytime sampling algorithms.

Linear Supertypes
Sampler, Anytime, Algorithm, AnyRef, Any
Known Subclasses
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Inherited
  1. AnytimeSampler
  2. Sampler
  3. Anytime
  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 doSample(): Unit

    Attributes
    protected
    Definition Classes
    Sampler
  2. abstract def handle(service: Service): Response

    A handler of services provided by the algorithm.

    A handler of services provided by the algorithm.

    Definition Classes
    Anytime
  3. abstract def resetCounts(): Unit

    Attributes
    protected
    Definition Classes
    Sampler
  4. abstract def update(): Unit

    Attributes
    protected
    Definition Classes
    Sampler

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. var active: Boolean

    Attributes
    protected
    Definition Classes
    Algorithm
  5. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  6. val blockSize: Int

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

  7. 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
  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def doKill(): Unit

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

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

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

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

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

    Definition Classes
    AnyRef → Any
  15. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  17. def hashCode(): Int

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

    Called when the algorithm starts before running any steps.

    Called when the algorithm starts before running any steps.

    Definition Classes
    AnytimeSamplerAlgorithm
  19. def isActive: Boolean

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

    Definition Classes
    Any
  21. 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
  22. final def ne(arg0: AnyRef): Boolean

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

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

    Definition Classes
    AnyRef
  25. 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
  26. 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
  27. var runner: Runner

    The actor running the algorithm.

    The actor running the algorithm.

    Attributes
    protected
    Definition Classes
    Anytime
  28. 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
  29. 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
  30. 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
  31. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  32. def toString(): String

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

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Sampler

Inherited from Anytime

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped