com.cra.figaro.algorithm.sampling

OneTimeElementSampler

Related Doc: package sampling

class OneTimeElementSampler extends ElementSampler with UnweightedSampler with OneTimeProbQuerySampler

One-time Element sampler.

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Inherited
  1. OneTimeElementSampler
  2. OneTimeProbQuerySampler
  3. OneTimeProbQuery
  4. OneTimeSampler
  5. OneTime
  6. ProbQueryAlgorithm
  7. UnweightedSampler
  8. ProbQuerySampler
  9. BaseProbQuerySampler
  10. BaseProbQueryAlgorithm
  11. ElementSampler
  12. BaseUnweightedSampler
  13. Sampler
  14. Algorithm
  15. AnyRef
  16. Any
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Instance Constructors

  1. new OneTimeElementSampler(target: Element[_], myNumSamples: Int)

    myNumSamples

    The number samples to take from the element

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

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 doDistribution[T](target: Element[T]): Stream[(Double, T)]

    Attributes
    protected
    Definition Classes
    OneTimeProbQueryBaseProbQueryAlgorithm
  16. def doExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

    Attributes
    protected
    Definition Classes
    OneTimeProbQueryBaseProbQueryAlgorithm
  17. def doInitialize(): Unit

    Attributes
    protected
    Definition Classes
    ElementSampler
  18. def doKill(): Unit

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

    Attributes
    protected
    Definition Classes
    OneTimeProbQueryBaseProbQueryAlgorithm
  20. def doProjection[T](target: Element[T]): List[(T, Double)]

    Attributes
    protected
    Definition Classes
    OneTimeProbQueryBaseProbQueryAlgorithm
  21. def doResume(): Unit

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

    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  23. def doStart(): Unit

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

    Attributes
    protected[com.cra.figaro.algorithm]
    Definition Classes
    OneTimeAlgorithm
  25. final def eq(arg0: AnyRef): Boolean

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

    Definition Classes
    AnyRef → Any
  27. 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
  28. def finalize(): Unit

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

    Definition Classes
    AnyRef → Any
  30. def getSampleCount: Int

    Number of samples taken

    Number of samples taken

    Definition Classes
    BaseUnweightedSampler
  31. def getTotalWeight: Double

    Total weight of samples taken, in log space

    Total weight of samples taken, in log space

    Definition Classes
    UnweightedSamplerBaseProbQuerySampler
  32. def hashCode(): Int

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

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  34. 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
  35. def isActive: Boolean

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

    Definition Classes
    Any
  37. 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
  38. 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
  39. final def ne(arg0: AnyRef): Boolean

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

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

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

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

    Definition Classes
    AnyRef
  44. val numSamples: Int

    The number of samples to collect from the model.

    The number of samples to collect from the model.

    Definition Classes
    OneTimeElementSamplerOneTimeSampler
  45. def posteriorElement[T](target: Element[T], universe: Universe = Universe.universe): Element[T]

    Return an element representing the posterior probability distribution of the given element.

    Return an element representing the posterior probability distribution of the given element.

    Definition Classes
    ProbQueryAlgorithm
  46. 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
  47. 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
  48. lazy val queryTargets: List[Element[_]]

    Definition Classes
    BaseUnweightedSampler
  49. def resetCounts(): Unit

    Attributes
    protected
    Definition Classes
    BaseUnweightedSamplerSampler
  50. 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
  51. def run(): Unit

    Run the algorithm, performing its computation to completion.

    Run the algorithm, performing its computation to completion.

    Definition Classes
    OneTimeElementSamplerOneTimeSamplerOneTime
  52. def sample(): (Boolean, Sample)

    Produce a single sample.

    Produce a single sample.

    Definition Classes
    ElementSamplerBaseUnweightedSampler
  53. var sampleCount: Int

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  54. 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
  55. 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
  56. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  57. def toString(): String

    Definition Classes
    AnyRef → Any
  58. val universe: Universe

    Definition Classes
    BaseUnweightedSampler
  59. def update(): Unit

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

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

    Attributes
    protected
    Definition Classes
    BaseUnweightedSampler
  62. 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
  63. final def wait(): Unit

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

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from OneTimeProbQuerySampler

Inherited from OneTimeProbQuery

Inherited from OneTimeSampler

Inherited from OneTime

Inherited from ProbQueryAlgorithm

Inherited from UnweightedSampler

Inherited from ProbQuerySampler

Inherited from BaseProbQuerySampler[Element]

Inherited from ElementSampler

Inherited from BaseUnweightedSampler

Inherited from Sampler

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped