com.cra.figaro.algorithm.sampling

UnweightedSampler

Related Doc: package sampling

trait UnweightedSampler extends BaseUnweightedSampler with ProbQuerySampler

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Inherited
  1. UnweightedSampler
  2. ProbQuerySampler
  3. BaseProbQuerySampler
  4. BaseProbQueryAlgorithm
  5. BaseUnweightedSampler
  6. Sampler
  7. Algorithm
  8. AnyRef
  9. Any
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Type Members

  1. type LastUpdate[T] = (T, Int)

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  2. class NotATargetException[T] extends AlgorithmException

    Definition Classes
    BaseProbQueryAlgorithm
  3. type Sample = Map[Element[_], Any]

    A sample is a map from elements to their values.

    A sample is a map from elements to their values.

    Definition Classes
    BaseUnweightedSampler
  4. type TimesSeen[T] = Map[T, Int]

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler

Abstract Value Members

  1. abstract def doDistribution[T](target: Element[T]): Stream[(Double, T)]

    Attributes
    protected
    Definition Classes
    BaseProbQueryAlgorithm
  2. abstract def doExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

    Attributes
    protected
    Definition Classes
    BaseProbQueryAlgorithm
  3. abstract def doKill(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  4. abstract def doProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

    Attributes
    protected
    Definition Classes
    BaseProbQueryAlgorithm
  5. abstract def doResume(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  6. abstract def doStart(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  7. abstract def doStop(): Unit

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    Algorithm
  8. abstract def sample(): (Boolean, Sample)

    Produce a single sample.

    Produce a single sample.

    Definition Classes
    BaseUnweightedSampler

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. var allLastUpdates: Map[Element[_], LastUpdate[_]]

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  6. var allTimesSeen: Map[Element[_], TimesSeen[_]]

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  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 computeDistribution[T](target: Element[T]): Stream[(Double, T)]

    Return an estimate of the expectation of the function under the marginal probability distribution of the target.

    Return an estimate of the expectation of the function under the marginal probability distribution of the target.

    Definition Classes
    BaseProbQuerySamplerBaseProbQueryAlgorithm
  11. def computeExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

    Return an estimate of the expectation of the function under the marginal probability distribution of the target.

    Return an estimate of the expectation of the function under the marginal probability distribution of the target.

    Definition Classes
    BaseProbQuerySamplerBaseProbQueryAlgorithm
  12. def computeProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

    Return an estimate of the probability of the predicate under the marginal probability distribution of the target.

    Return an estimate of the probability of the predicate under the marginal probability distribution of the target.

    Definition Classes
    BaseProbQueryAlgorithm
  13. def computeProjection[T](target: Element[T]): List[(T, Double)]

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    UnweightedSamplerBaseProbQueryAlgorithm
  14. def distribution[T](target: Element[T]): Stream[(Double, T)]

    Return an estimate of the marginal probability distribution over the target that lists each element with its probability.

    Return an estimate of the marginal probability distribution over the target that lists each element with its probability. The result is a lazy stream. It is up to the algorithm how the stream is ordered. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

    Definition Classes
    BaseProbQueryAlgorithm
  15. def doProjection[T](target: Element[T]): List[(T, Double)]

    Attributes
    protected
    Definition Classes
    BaseProbQueryAlgorithm
  16. def doSample(): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  17. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  19. def expectation[T](target: Element[T], function: (T) ⇒ Double): Double

    Return an estimate of the expectation of the function under the marginal probability distribution of the target.

    Return an estimate of the expectation of the function under the marginal probability distribution of the target. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

    Definition Classes
    BaseProbQueryAlgorithm
  20. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  22. def getSampleCount: Int

    Number of samples taken

    Number of samples taken

    Definition Classes
    BaseUnweightedSampler
  23. def getTotalWeight: Double

    Total weight of samples taken, in log space

    Total weight of samples taken, in log space

    Definition Classes
    UnweightedSamplerBaseProbQuerySampler
  24. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  25. def initUpdates(): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  26. 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
  27. def isActive: Boolean

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

    Definition Classes
    Any
  29. 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
  30. def mean(target: Element[Double]): Double

    Return the mean of the probability density function for the given continuous element.

    Return the mean of the probability density function for the given continuous element.

    Definition Classes
    BaseProbQueryAlgorithm
  31. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  32. def newLastUpdate[T](target: Element[T]): LastUpdate[T]

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  33. def newTimesSeen[T](target: Element[T]): TimesSeen[T]

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  34. final def notify(): Unit

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

    Definition Classes
    AnyRef
  36. def probability[T](target: Element[T], value: T): Double

    Return an estimate of the probability that the target produces the value.

    Return an estimate of the probability that the target produces the value. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

    Definition Classes
    BaseProbQueryAlgorithm
  37. def probability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

    Return an estimate of the probability of the predicate under the marginal probability distribution of the target.

    Return an estimate of the probability of the predicate under the marginal probability distribution of the target. Throws NotATargetException if called on a target that is not in the list of targets of the algorithm. Throws AlgorithmInactiveException if the algorithm is inactive.

    Definition Classes
    BaseProbQueryAlgorithm
  38. lazy val queryTargets: List[Element[_]]

    Definition Classes
    BaseUnweightedSampler
  39. def resetCounts(): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  40. 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
  41. var sampleCount: Int

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  42. 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
  43. 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
  44. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  45. def toString(): String

    Definition Classes
    AnyRef → Any
  46. val universe: Universe

    Definition Classes
    BaseUnweightedSampler
  47. def update(): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  48. def updateTimesSeenForTarget[T](elem: Element[T], newValue: T): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  49. def updateTimesSeenWithValue[T](value: T, timesSeen: TimesSeen[T], seen: Int): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  50. def variance(target: Element[Double]): Double

    Return the variance of the probability density function for the given continuous element.

    Return the variance of the probability density function for the given continuous element.

    Definition Classes
    BaseProbQueryAlgorithm
  51. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ProbQuerySampler

Inherited from BaseProbQuerySampler[Element]

Inherited from BaseUnweightedSampler

Inherited from Sampler

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped