cc.factorie.directed

MaximizeGaussianVariance

object MaximizeGaussianVariance extends Maximize[Iterable[MutableDoubleVar], DirectedModel]

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  1. MaximizeGaussianVariance
  2. Maximize
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  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 apply(varianceVar: MutableDoubleVar, model: DirectedModel, summary: DiscreteSummary1[DiscreteVar] = null): Unit

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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  9. var debug: Boolean

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

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  14. def hashCode(): Int

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  15. def infer(variables: Iterable[MutableDoubleVar], model: DirectedModel, marginalizing: Summary): AssignmentSummary

    Definition Classes
    MaximizeGaussianVarianceInfer
  16. final def isInstanceOf[T0]: Boolean

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  17. def maxVariance(varianceVar: MutableDoubleVar, model: DirectedModel, summary: DiscreteSummary1[DiscreteVar]): Double

  18. def maximize(vs: Iterable[MutableDoubleVar], model: DirectedModel, marginalizing: Summary = null): Unit

    Definition Classes
    Maximize
  19. def minSamplesForVarianceEstimate: Int

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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