dk.bayes.dsl

infer

Related Doc: package dsl

object infer

Use this function for inferring the posterior of variable in a Bayesian Network. The algorithm for running the inference is provided by the inferEngine implicit argument

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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[FROM <: Variable, TO <: Variable](x: FROM)(implicit inferEngines: Seq[InferEngine[FROM, TO]] = List[InferEngine[FROM, TO]]()): TO

  5. final def asInstanceOf[T0]: T0

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  18. final def wait(): Unit

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

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