com.cra.figaro.algorithm.sampling

OneTimeMPESampler

Related Doc: package sampling

trait OneTimeMPESampler extends OneTimeSampler with OneTimeMPE

One-time sampling algorithms that compute probability of evidence.

Linear Supertypes
Known Subclasses
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. OneTimeMPESampler
  2. OneTimeMPE
  3. MPEAlgorithm
  4. OneTimeSampler
  5. OneTime
  6. Sampler
  7. Algorithm
  8. AnyRef
  9. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def doSample(): Unit

    Attributes
    protected
    Definition Classes
    Sampler
  2. abstract def mostLikelyValue[T](target: Element[T]): T

    Returns the most likely value for the target element.

    Returns the most likely value for the target element.

    Definition Classes
    MPEAlgorithm
  3. abstract val numSamples: Int

    The number of samples to collect from the model.

    The number of samples to collect from the model.

    Definition Classes
    OneTimeSampler
  4. abstract def resetCounts(): Unit

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

    Definition Classes
    MPEAlgorithm
  6. 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. 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 doKill(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  9. def doMostLikelyValue[T](target: Element[T]): T

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

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  11. def doStart(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  12. def doStop(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  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 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. 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 run(): Unit

    Run the algorithm, performing its computation to completion.

    Run the algorithm, performing its computation to completion.

    Definition Classes
    OneTimeSamplerOneTime
  27. 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
  28. 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
  29. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  30. def toString(): String

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

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from OneTimeMPE

Inherited from MPEAlgorithm

Inherited from OneTimeSampler

Inherited from OneTime

Inherited from Sampler

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped