cc.factorie.optimize

CompositeLikelihoodExample

class CompositeLikelihoodExample extends Example

Generalization of pseudo likelihood to sets of variables, instead of a single one

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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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    Annotations
    @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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    @throws( ... )

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

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