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# BaseProbQueryAlgorithm 

#### trait BaseProbQueryAlgorithm[U[_]] extends Algorithm

Algorithms that compute conditional probabilities of queries. This is a base trait, to provide support for both elements in a single universe, or references across multiple universes. Generic type U is either an Element or a Reference. T is the type of the element or reference.

Linear Supertypes
Algorithm, AnyRef, Any
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1. BaseProbQueryAlgorithm
2. Algorithm
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### Type Members

1. class NotATargetException [T] extends AlgorithmException

### Abstract Value Members

1. abstract def computeDistribution[T](target: U[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: U[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: U[T]): Stream[(Double, T)]
Attributes
protected
4. abstract def doExpectation[T](target: U[T], function: (T) ⇒ Double): Double
Attributes
protected
5. abstract def doKill(): Unit
Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
Algorithm
6. abstract def doProbability[T](target: U[T], predicate: (T) ⇒ Boolean): Double
Attributes
protected
7. abstract def doResume(): Unit
Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
Algorithm
8. abstract def doStart(): Unit
Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
Algorithm
9. abstract def doStop(): Unit
Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
Algorithm
10. abstract val queryTargets: Seq[U[_]]

### 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. final def asInstanceOf[T0]: T0
Definition Classes
Any
6. def check[T](target: U[T]): Unit
Attributes
protected
7. 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
8. def clone(): AnyRef
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
9. def computeProbability[T](target: U[T], predicate: (T) ⇒ Boolean): Double

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

10. def computeProjection[T](target: U[T]): List[(T, Double)]
Attributes
protected[com.cra.figaro.algorithm]
11. def distribution[T](target: U[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.

12. def doProjection[T](target: U[T]): List[(T, Double)]
Attributes
protected
13. final def eq(arg0: AnyRef): Boolean
Definition Classes
AnyRef
14. def equals(arg0: Any): Boolean
Definition Classes
AnyRef → Any
15. def expectation[T](target: U[T])(function: (T) ⇒ Double, c: Any = DummyImplicit): 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.

16. def expectation[T](target: U[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.

17. def finalize(): Unit
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
18. final def getClass(): Class[_]
Definition Classes
AnyRef → Any
19. def hashCode(): Int
Definition Classes
AnyRef → Any
20. 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
21. def isActive: Boolean
Definition Classes
Algorithm
22. final def isInstanceOf[T0]: Boolean
Definition Classes
Any
23. 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
24. def mean(target: U[Double]): Double

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

25. final def ne(arg0: AnyRef): Boolean
Definition Classes
AnyRef
26. final def notify(): Unit
Definition Classes
AnyRef
27. final def notifyAll(): Unit
Definition Classes
AnyRef
28. def probability[T](target: U[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.

29. def probability[T](target: U[T])(predicate: (T) ⇒ Boolean, c: Any = DummyImplicit): 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.

30. def probability[T](target: U[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.

31. 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
32. 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
33. 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
34. final def synchronized[T0](arg0: ⇒ T0): T0
Definition Classes
AnyRef
35. def toString(): String
Definition Classes
AnyRef → Any
36. def variance(target: U[Double]): Double

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

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