CompositeLikelihoodExample

Instance Constructors

1. new CompositeLikelihoodExample(components: Iterable[Iterable[LabeledDiscreteVar]], model: model.Model with model.Parameters )

   components

   A list of sets of variables. Each set cannot be longer than four.

   model

   The model

Value Members

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef ): Boolean

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

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6. def accumulateValueAndGradient(value: DoubleAccumulator , gradient: WeightsMapAccumulator ): Unit

   Put objective value and gradient into the accumulators.

   Put objective value and gradient into the accumulators. Either argument can be null if they don't need to be computed.

   value

   Accumulator to hold value

   gradient

   Accumulator to hold gradient

   Definition Classes

   CompositeLikelihoodExample → Example

7. final def asInstanceOf[T0]: T0

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8. def clone(): AnyRef

   Attributes

   protected[java.lang]

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   @throws( ... )

9. def computeProportions(labels: Iterable[LabeledDiscreteVar], factors: Iterable[model.Factor]): (Proportions1, Int)

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

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11. def equals(arg0: Any): Boolean

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12. def finalize(): Unit

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

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

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14. def hashCode(): Int

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15. final def isInstanceOf[T0]: Boolean

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

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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

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20. def toString(): String

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21. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Example

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Ungrouped