com.cra.figaro.algorithm

ProbQueryAlgorithm

trait ProbQueryAlgorithm extends Algorithm

Algorithms that compute conditional probabilities of queries.

Linear Supertypes
Algorithm, AnyRef, Any
Known Subclasses
AnytimeDecisionMetropolisHastings, AnytimeElementSampler, AnytimeMetropolisHastings, AnytimeProbQuery, AnytimeProbQuerySampler, DecisionImportance, DecisionMetropolisHastings, ElementSampler, Importance, MetropolisHastings, OneTimeDecisionMetropolisHastings, OneTimeElementSampler, OneTimeMetropolisHastings, OneTimeProbQuery, OneTimeProbQueryDecision, OneTimeProbQuerySampler, ProbQueryBeliefPropagation, ProbQueryParticleBeliefPropagation, ProbQueryVariableElimination, ProbQueryVariableEliminationDecision, UnweightedSampler, WeightedSampler
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  2. Algorithm
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Abstract Value Members

  1. abstract def computeDistribution[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.

  2. abstract 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.

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

    Attributes
    protected

  4. abstract def doExpectation[T](target: Element[T], function: (T) ⇒ Double): Double

    Attributes
    protected

  5. abstract def doKill(): Unit

    Attributes
    protected
    Definition Classes
    Algorithm

  6. abstract def doProbability[T](target: Element[T], predicate: (T) ⇒ Boolean): Double

    Attributes
    protected

  7. abstract def doResume(): Unit

    Attributes
    protected
    Definition Classes
    Algorithm

  8. abstract def doStart(): Unit

    Attributes
    protected
    Definition Classes
    Algorithm

  9. abstract def doStop(): Unit

    Attributes
    protected
    Definition Classes
    Algorithm

  10. abstract val queryTargets: Seq[Element[_]]

  11. abstract val universe: Universe

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 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.

  9. 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.

  10. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. 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.

  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 hashCode(): Int

    Definition Classes
    AnyRef → Any

  16. 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

  17. def isActive: Boolean

    Definition Classes
    Algorithm

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  19. 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

  20. def mean(target: Element[Double]): Double

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

  21. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  22. final def notify(): Unit

    Definition Classes
    AnyRef

  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  24. def posteriorElement[T](target: Element[T], universe: Universe = Universe.universe): Element[T]

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

  25. 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.

  26. 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.

  27. 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

  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. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  31. def toString(): String

    Definition Classes
    AnyRef → Any

  32. def variance(target: Element[Double]): Double

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

  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 Algorithm

Inherited from AnyRef

Inherited from Any

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