ProbEvidenceBeliefPropagation

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1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. def apply(myIterations: Int, evidence: List[NamedEvidence[_]])(implicit universe: Universe): ProbEvidenceAlgorithm

   

   Creates a One Time belief propagation computer in the current default universe.

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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7. def computeProbEvidence(myIterations: Int, evidence: List[NamedEvidence[_]])(implicit universe: Universe): Double

   

   Use one-time sampling to compute the probability of the given named evidence.

   Use one-time sampling to compute the probability of the given named evidence. Takes the conditions and constraints in the model as part of the model definition. This method takes care of creating and running the necessary algorithms.

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

   

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9. def equals(arg0: Any): Boolean

   

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13. final def isInstanceOf[T0]: Boolean

    

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

    

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15. final def notify(): Unit

    

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19. final def wait(): Unit

    

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20. final def wait(arg0: Long, arg1: Int): Unit

    

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21. final def wait(arg0: Long): Unit

    

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