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# OneTimeProbEvidence 

#### trait OneTimeProbEvidence extends ProbEvidenceAlgorithm with OneTime

One-time algorithms that compute probability of evidence. A class that implements this trait must implement the run and computeprobEvidence methods.

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1. OneTimeProbEvidence
2. OneTime
3. ProbEvidenceAlgorithm
4. Algorithm
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### Abstract Value Members

The algorithm used to compute the probability of additional evidence, as created by probAdditionalEvidence.

The algorithm used to compute the probability of additional evidence, as created by probAdditionalEvidence. This algorithm can be different to the one defined in this class. (For example, a one-time algorithm can use an anytime algorithm for additional evidence.)

Definition Classes
ProbEvidenceAlgorithm
2. abstract def computedResult: Double
Attributes
protected
Definition Classes
ProbEvidenceAlgorithm
3. abstract def run(): Unit

Run the algorithm, performing its computation to completion.

Run the algorithm, performing its computation to completion.

Definition Classes
OneTime
4. abstract val universe
Definition Classes
ProbEvidenceAlgorithm

### 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 cleanUp(): Unit

Removes the evidence provided in the constructor from the universe.

Removes the evidence provided in the constructor from the universe.

Definition Classes
ProbEvidenceAlgorithmAlgorithm
7. def clone(): AnyRef
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
8. val denominator: Double
Definition Classes
ProbEvidenceAlgorithm
9. def doKill(): Unit
Attributes
protected[com.cra.figaro.algorithm]
Definition Classes
OneTimeAlgorithm
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. val evidence: List[NamedEvidence[_]]
Definition Classes
ProbEvidenceAlgorithm
16. def finalize(): Unit
Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
17. final def getClass(): Class[_]
Definition Classes
AnyRef → Any
18. def hashCode(): Int
Definition Classes
AnyRef → Any
19. def initialize(): Unit

Since probability of evidence algorithms introduce additional evidence (namely, their evidence argument), into an existing universe, a mechanism must be provided for introducing the evidence when the algorithm begins and cleaning it up at the end.

Since probability of evidence algorithms introduce additional evidence (namely, their evidence argument), into an existing universe, a mechanism must be provided for introducing the evidence when the algorithm begins and cleaning it up at the end. This is achieved with the initialize method, called when the algorithm starts, and the cleanUp method, called when the algorithm is killed.

Definition Classes
ProbEvidenceAlgorithmAlgorithm
20. def isActive: Boolean
Definition Classes
Algorithm
21. final def isInstanceOf[T0]: Boolean
Definition Classes
Any
22. 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
23. def logProbEvidence: Double

The computed log probability of evidence.

The computed log probability of evidence.

Definition Classes
ProbEvidenceAlgorithm
24. final def ne(arg0: AnyRef): Boolean
Definition Classes
AnyRef
25. final def notify(): Unit
Definition Classes
AnyRef
26. final def notifyAll(): Unit
Definition Classes
AnyRef

Returns an algorithm to compute the probability of the additional evidence provided.

Returns an algorithm to compute the probability of the additional evidence provided.

Definition Classes
ProbEvidenceAlgorithm
28. def probEvidence: Double

The computed probability of evidence.

The computed probability of evidence.

Definition Classes
ProbEvidenceAlgorithm
29. def probabilityOfEvidence(): Double

Returns the probability of evidence of the universe on which the algorithm operates.

Returns the probability of evidence of the universe on which the algorithm operates. Throws AlgorithmInactiveException if the algorithm is not active.

30. 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
31. 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
32. 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
33. final def synchronized[T0](arg0: ⇒ T0): T0
Definition Classes
AnyRef
34. def toString(): String
Definition Classes
AnyRef → Any
35. final def wait(): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )
36. final def wait(arg0: Long, arg1: Int): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )
37. final def wait(arg0: Long): Unit
Definition Classes
AnyRef
Annotations
@throws( ... )