c

com.cra.figaro.algorithm.sampling

BaseUnweightedSampler

abstract class BaseUnweightedSampler extends Sampler

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Inherited
  1. BaseUnweightedSampler
  2. Sampler
  3. Algorithm
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BaseUnweightedSampler(universe: Universe, targets: Element[_]*)

Type Members

  1. type LastUpdate[T] = (T, Int)
    Attributes
    protected
  2. type Sample = Map[Element[_], Any]

    A sample is a map from elements to their values.

  3. type TimesSeen[T] = Map[T, Int]
    Attributes
    protected

Abstract Value Members

  1. abstract def doKill(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  2. abstract def doResume(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  3. abstract def doStart(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  4. abstract def doStop(): Unit
    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  5. abstract def sample(): (Boolean, Sample)

    Produce a single sample.

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. var allLastUpdates: Map[Element[_], LastUpdate[_]]
    Attributes
    protected
  6. var allTimesSeen: Map[Element[_], TimesSeen[_]]
    Attributes
    protected
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. 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
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def doSample(): Unit
    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  15. def getSampleCount: Int

    Number of samples taken

  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. def initUpdates(): Unit
    Attributes
    protected
  18. 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
  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. def newLastUpdate[T](target: Element[T]): LastUpdate[T]
    Attributes
    protected
  24. def newTimesSeen[T](target: Element[T]): TimesSeen[T]
    Attributes
    protected
  25. final def notify(): Unit
    Definition Classes
    AnyRef
  26. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  27. lazy val queryTargets: List[Element[_]]
  28. def resetCounts(): Unit
    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  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. var sampleCount: Int
    Attributes
    protected
  31. 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
  32. 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
  33. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  34. def toString(): String
    Definition Classes
    AnyRef → Any
  35. val universe: Universe
  36. def update(): Unit
    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  37. def updateTimesSeenForTarget[T](elem: Element[T], newValue: T): Unit
    Attributes
    protected
  38. def updateTimesSeenWithValue[T](value: T, timesSeen: TimesSeen[T], seen: Int): Unit
    Attributes
    protected
  39. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  41. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Sampler

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

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