Trait/Object

infcalcs

Weight

Related Docs: object Weight | package infcalcs

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trait Weight extends AnyRef

Mixin that defines key aspects of a novel probability function

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BWeight, CustomWeight, GWeight, PWeight, UWeight
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Abstract Value Members

  1. abstract val label: String

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    Unique label identifying the weighting function.

  2. abstract val weights: List[Double]

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    Raw weights to be applied to data.

Concrete Value Members

  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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. def toString(): String

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  17. final def wait(): Unit

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

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

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  20. def weightTable[A](ct: CTable[A])(implicit arg0: Numeric[A]): CTable[Double]

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    Applies the weights to a infcalcs.tables.CTable, generating a new infcalcs.tables.CTable

    Applies the weights to a infcalcs.tables.CTable, generating a new infcalcs.tables.CTable

    Note that the weights must be normalized to the existing distribution of data among the row dimension of the contingency table using the Weight.reWeight function

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